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Wang X, Zheng R, Liang W, Qiu H, Yuan T, Wang W, Deng H, Kong W, Chen J, Bai Y, Li Y, Chen Y, Wu Q, Wu S, Huang X, Shi Z, Fu Q, Zhang Y, Yang Q. Small extracellular vesicles facilitate epithelial-mesenchymal transition in chronic rhinosinusitis with nasal polyps via the miR-375-3p/QKI axis. Rhinology 2024; 0:3172. [PMID: 38557580 DOI: 10.4193/rhin23.520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND Epithelial-mesenchymal transition (EMT) plays a crucial role in the pathogenesis of chronic rhinosinusitis with nasal polyps (CRSwNP). However, the involvement of small extracellular vesicles (sEVs) in EMT and their contributions to CRSwNP has not been extensively investigated. METHODS SEVs were isolated from nasal mucosa through ultracentrifugation. MicroRNA sequencing and reverse-transcription quantitative polymerase chain reaction were employed to analyze the differential expression of microRNAs carried by sEVs. Human nasal epithelial cells (hNECs) were used to assess the EMT-inducing effect of sEVs/microRNAs. EMT-associated markers were detected by western blotting and immunofluorescence. Dual-luciferase reporter assay was performed to determine the target gene of miR-375-3p. MicroRNA mimic, lentiviral, and plasmid transduction were used for functional experiments. RESULTS In line with the greater EMT status in eosinophilic CRSwNP (ENP), sEVs derived from ENP (ENP-sEVs) could induce EMT in hNECs. MiR-375-3p was elevated in ENP-sEVs compared to that in control and nonENP. MiR-375- 3p carried by ENP-sEVs facilitated EMT by directly targeting KH domain containing RNA binding (QKI) at seed sequences of 913-919, 1025-1033, and 2438-2444 in 3'-untranslated region. Inhibition of QKI by miR-375-3p overexpression promoted EMT, which could be reversed by restoration of QKI. Furthermore, the abundance of miR-375-3p in sEVs was closely correlated with the clinical symptom score and disease severity. CONCLUSIONS MiR-375-3p-enriched sEVs facilitated EMT by suppressing QKI in hNECs. The association of miR-375-3p with disease severity underscores its potential as both a diagnostic marker and a therapeutic target for the innovative management of CRSwNP.
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Affiliation(s)
- X Wang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - R Zheng
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Liang
- Department of Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Cell-gene Therapy Translational Medicine Research Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - H Qiu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - T Yuan
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Wang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - H Deng
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Kong
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - J Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Bai
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Li
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - S Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - X Huang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Z Shi
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Fu
- Otorhinolaryngology Hospital, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Y Zhang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Yang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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Liang C, Zheng R, Liu X, Ma Q, Chen J, Shen Y. Predictive value of hematological parameters in cirrhotic patients with open umbilical hernia repair. Hernia 2024; 28:119-126. [PMID: 37848581 DOI: 10.1007/s10029-023-02908-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/01/2023] [Indexed: 10/19/2023]
Abstract
PURPOSE Patients with liver cirrhosis sometimes suffer from high recurrence rates and postoperative complications. We previously reported that platelet-related hematological parameters are associated with the outcomes after incisional herniorrhaphy, and aim to evaluate the predictive value of these criteria in cirrhotic patients undergoing open umbilical herniorrhaphy. METHODS This is a retrospective study. The data of 95 cirrhotic patients undergoing open umbilical herniorrhaphy were analyzed. Patients were grouped based on the recurrence and defined hematological values. Platelet-multiple-lymphocyte index (PLM), neutrophil-leukocyte ratio, lymphocyte-monocyte ratio, platelet-neutrophil ratio, systemic immune-inflammation index, and aspartate aminotransferase-leukocyte ratio values were calculated based on preoperative blood analyses. The outcomes were obtained from hospital records and follow-up calls to patients. RESULTS Using cutoff values acquired by the Youden Index, we found a PLM value < 27.9, and the history of inguinal herniorrhaphy were revealed to be statistically significant in the recurrence based on univariant and multivariant analyses (p < 0.05). We further divided patients into two groups based on the cutoff value of PLM and found that a PLM value < 27.9 was significantly associated with the recurrence of incisional hernias (p = 0.018) and the occurrence of postoperative foreign sensation (p = 0.044), and tended to result in other postoperative complications such as cardiopathy, respiratory infection, hypoproteinemia, and hepatic diseases (p = 0.089). CONCLUSION The preoperative hematological values, especially PLM, may indicate the outcomes in cirrhotic patients after open umbilical herniorrhaphy. Accurate identification of risks may alert the intraoperative and postoperative care for patients.
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Affiliation(s)
- C Liang
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, No. 5 JingYuan Road, Shijingshan District, Beijing, 100043, China
| | - R Zheng
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, No. 5 JingYuan Road, Shijingshan District, Beijing, 100043, China
| | - X Liu
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, No. 5 JingYuan Road, Shijingshan District, Beijing, 100043, China
| | - Q Ma
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, No. 5 JingYuan Road, Shijingshan District, Beijing, 100043, China
| | - J Chen
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, No. 5 JingYuan Road, Shijingshan District, Beijing, 100043, China
- Department of Hernia and Abdominal Wall Surgery, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Y Shen
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, No. 5 JingYuan Road, Shijingshan District, Beijing, 100043, China.
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Yu X, Liu X, Tan W, Wang X, Zheng X, Huang Y, Chen J, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Chen R, Long L, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Sheng J, Li H, Shi Y. The clinical courses of HBV-related acute-on-chronic liver failure and a multi-state model to predict disease evolution. Hepatol Commun 2024; 8:e0354. [PMID: 38180960 PMCID: PMC10781128 DOI: 10.1097/hc9.0000000000000354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/30/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND AND AIMS Acute-on-chronic liver failure (ACLF) is a highly dynamic syndrome. The objective of this study was to delineate the clinical course of patients with HBV-ACLF and to develop a model to estimate the temporal evolution of disease severity. METHODS We enrolled eligible patients from 2 large, multicenter prospective cohorts. The ACLF grade, organ failures, and outcomes were assessed at multiple time points (days 1/4/7/14/21/28). Probabilities for ACLF transitions between these disease states and to death within 28 days were calculated using a multi-state model that used baseline information and updated ACLF status. The model was validated in independent patients. RESULTS Among all the 445 patients with HBV-ACLF, 76 represented disease progression, 195 had a stable or fluctuating course, 8 with improvement, and the remaining 166 with resolution within 28-day follow-up. New coagulation (63.64%) or renal failure (45.45%) was frequently observed during early progression. Patients with disease progression had a higher incidence of new episodes of ascites [10 (13.16%) vs. 22 (5.96%), p = 0.027] and HE [13(17.11%) vs. 21 (5.69%), p = 0.001], and a significant increase in white blood cell count. The multi-state model represented dynamic areas under the receiver operating characteristic curves ranging from 0.71 to 0.84 for predicting all ACLF states and death at 4, 7, 14, 21, and 28 days post-enrollment and from 0.73 to 0.94 for predicting death alone, performing better than traditional prognostic scores. CONCLUSIONS HBV-ACLF is a highly dynamic syndrome with reversibility. The multi-state model is a tool to estimate the temporal evolution of disease severity, which may inform clinical decisions on treatment.
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Affiliation(s)
- Xia Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xinxin Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaobo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People’s Hospital, Tianjin, China
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Infectious Disease, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University, Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Deparment of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shan Yin
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenyi Gu
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hai Li
- Department of Gastroenterology, RenJi Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Zhang H, Zhou M, Zhou QL, Luo X, Zheng R, Su J, Xiong GW, Cheng Y, Li YT, Zhang PP, Zhang K, Dai M, Huang XK, Zhang YN, Shi ZH, Tao J, Zhou YQ, Feng PY, Chen ZG, Yang QT. [Preliminary insights into the practice of hypoallergenic home visiting program]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1957-1963. [PMID: 38186142 DOI: 10.3760/cma.j.cn112150-20230903-00151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Allergic diseases affect about 40% of the world's population. Environmental factors are important in the occurrence and development of allergic diseases. Dust mites are one of the most important allergens in the indoor environment. The World Health Organization proposes the "four-in-one, combination of prevention and treatment" treatment principle for allergic diseases, in which environmental control to avoid or reduce allergens is the first choice for treatment. Modern people spend much more time at home (including sleeping) than outdoors, and the control of the home environment is particularly critical. This practice introduces the hypoallergenic home visit program, which including home environment assessment, environmental and behavioral intervention guidance, and common household hypoallergenic supplies and service guidance for the patient's home environment. The real-time semi-quantitative testing of dust mite allergens, qualitative assessments of other indoor allergens, record of patients' household items and lifestyle, and precise, individualized patient prevention and control education will be conducted. The hypoallergenic home visit program improves the doctors' diagnosis and treatment data dimension, and becomes a patient management tool for doctors outside the hospital. It also helps patients continue to scientifically avoid allergens and irritants in the environment, effectively build a hypoallergenic home environment, reduce exposure to allergens in the home environment, and achieve the goal of combining the prevention and treatment of allergic diseases.
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Affiliation(s)
- H Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - M Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Q L Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - X Luo
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - R Zheng
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - J Su
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - G W Xiong
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y Cheng
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y T Li
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - P P Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - K Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Traditional Chinese Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - M Dai
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Traditional Chinese Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - X K Huang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y N Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Z H Shi
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - J Tao
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Gastroenterology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y Q Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Respiratory and Intensive Care, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - P Y Feng
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Dermatology and Cosmetic Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Z G Chen
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Q T Yang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
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Hao Y, Wu LN, Lyu YT, Liu YZ, Qin XS, Zheng R. [Evaluation of the application value of seven tumor-associated autoantibodies in non-small cell lung cancer based on machine learning algorithms]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1827-1838. [PMID: 38008573 DOI: 10.3760/cma.j.cn112150-20221111-01099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/28/2023]
Abstract
Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
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Affiliation(s)
- Y Hao
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang 110000, China Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110000, China
| | - L N Wu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang 110000, China Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110000, China
| | - Y T Lyu
- Biological Sciences, City University of Hong Kong, Hong Kong 999077, China
| | - Y Z Liu
- Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang 110000, China
| | - X S Qin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang 110000, China Liaoning Clinical Research Center for Laboratory Medicine, Shenyang 110000, China
| | - R Zheng
- Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang 110000, China
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Zhang Y, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Yan H, Zheng Y, Zhang W, Gu W, Qiao L, Deng G, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Duan L, Chen R, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Cheng X, Guo L, Li H. Metabolic biomarkers significantly enhance the prediction of HBV-related ACLF occurrence and outcomes. J Hepatol 2023; 79:1159-1171. [PMID: 37517452 DOI: 10.1016/j.jhep.2023.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/16/2023] [Accepted: 07/11/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND & AIMS Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality in patients with chronic liver disease. Chronic hepatitis B is the main cause of ACLF (HBV-ACLF) in China and other Asian countries. To improve disease management and survival for patients with ACLF, we aimed to discover novel biomarkers to enhance HBV-ACLF diagnosis and prognostication. METHODS We performed a metabolomics profiling of 1,024 plasma samples collected from patients with HBV-related chronic liver disease with acute exacerbation at hospital admission in a multi-year and multi-center prospective study (367 ACLF and 657 non-ACLF). The samples were randomly separated into equal halves as a discovery set and a validation set. We identified metabolites associated with 90-day mortality in the ACLF group and the progression to ACLF within 28 days in the non-ACLF group (pre-ACLF) using statistical analysis and machine learning. We developed diagnostic algorithms in the discovery set and used these to assess the findings in the validation set. RESULTS ACLF significantly altered the plasma metabolome, particularly in membrane lipid metabolism, steroid hormones, oxidative stress pathways, and energy metabolism. Numerous metabolites were significantly associated with 90-day mortality in the ACLF group and/or pre-ACLF in the non-ACLF group. We developed algorithms for the prediction of 90-day mortality in patients with ACLF (area under the curve 0.87 and 0.83 for the discovery set and validation set, respectively) and the diagnosis of pre-ACLF (area under the curve 0.94 and 0.88 for the discovery set and validation set, respectively). To translate our discoveries into practical clinical tests, we developed targeted assays using liquid chromatography-mass spectrometry. CONCLUSIONS Based on novel metabolite biomarkers, we established tests for HBV-related ACLF with higher accuracy than existing methods. CLINICAL TRIAL NUMBER NCT02457637 and NCT03641872. IMPACT AND IMPLICATIONS Acute-on-chronic liver failure (ACLF) is a clinical syndrome associated with high short-term mortality affecting 25% of patients hospitalized with cirrhosis. Chronic hepatitis B is the main etiology of ACLF in China and other Asian counties. There is currently no effective therapy. Early diagnosis and accurate prognostication are critical for improving clinical outcomes in patients with ACLF. Based on novel metabolite biomarkers, we developed liquid chromatography-mass spectrometry tests with improved accuracy for the early diagnosis and prognostication of HBV-related ACLF. The liquid chromatography-mass spectrometry tests can be implemented in clinical labs and used by physicians to triage patients with HBV-related ACLF to ensure optimized clinical management.
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Affiliation(s)
- Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China; Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China; National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Huadong Yan
- Infectious Disease Department, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Deparment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou City, 510630, PR China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lihua Duan
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China; National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Xiaoliang Cheng
- Jiangsu Qlife Medical Technology Group Co., Ltd, Nanjin Pinsheng Medical Technology Co., Ltd, Nanjing, China
| | - Lining Guo
- Precion Inc., Morrisville, North Carolina, USA.
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Shanghai, China; Department of Gastroenterology, Punan Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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7
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Zheng R, Wang B, Hong Y, Xu B. Exploring the Efficacy and Molecular Mechanism of Systemic Therapy-Based Split-Course Stereotactic Body Radiation Therapy for Solid Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e279. [PMID: 37785045 DOI: 10.1016/j.ijrobp.2023.06.1259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Considering the therapeutic toxicity, the question of how to administer adequate chemotherapy to synchronize Stereotactic body radiation therapy (SBRT) treatment strategy for maximizing the benefits of neoadjuvant therapy to improve prognosis is a challenging and debatable issue. This study explores the feasibility and theoretical advantages of the simultaneous implementation of split-course SBRT with systemic treatment. MATERIALS/METHODS We evaluated the effect of three irradiation regimens (conventional radiotherapy (C-R, 15×2 Gy, (D1-5, D8-12, D15-19)), continuous SBRT (C-S, 3×7 Gy, (D1-3)), split SBRT (S-S, 3×7 Gy, (D1, D10, D19)) in combination with systemic therapy (chemotherapy (gemcitabine), PD-1 inhibitor (Anti-mouse PD-1 antibody) and angiogenesis-targeting agent (Anlotinib)) on tumor growth and survival by using the immunologically active C57BL/6 bilateral subcutaneous model with different cancer cells. At different time points after treatment, we monitored changes in the tumor microenvironment and explored the possible mechanisms. RESULTS In the case of radiotherapy alone, we found similar tumor control in all groups but the best survival in the S-S group. When combined with systemic therapy, the S-S group has shown advantages in tumor control and survival. And the S-S combination group induced more CD4+ and CD8+ T lymphocyte infiltration in the tumor, which had the highest number of tumor vessels and the smallest area of hypoxia. Tumor cell PD-L1 expression was increased after radiotherapy in all but the most elevated and persistent S-S combination treatment group. CD3+ T cells, CD4+ T cells and CD8+ T cells peaked at weeks 2-3 after treatment, and all remained at the highest level for 6 weeks in the S-S combination group. Meanwhile, PD-L1 expression was significantly higher in all tumors in the third week than in other groups. The most significant reduction in the hypoxic area and increase in perfusion level was observed in the S-S group in the third week. RNA sequencing analysis revealed that immune response-related pathways were upregulated on the irradiated and non-irradiated side, tumor proliferation and invasion on the non-irradiated side, and angiogenesis-related pathways were down-regulated in the fractionated SBRT combination treatment group. In both irradiated side and non-irradiated side tumor tissues where the abscopal effect was observed, immune response-related pathways were upregulated in the S-S group relative to the C-R group, and tumor proliferation and invasion and angiogenesis-related pathways were found to be downregulated in the non-irradiated side. CONCLUSION In preclinical models, the combination of split SBRT with systemic therapy has been shown to be more advantageous than conventional segmentation, possibly by affecting immune cell infiltration in the tumor microenvironment and reducing tumor hypoxia.
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Affiliation(s)
- R Zheng
- Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China
| | - B Wang
- ujian Medical University Union Hospital, Fuzhou, China
| | - Y Hong
- Fujian Medical University Union Hospital, Fuzhou, China
| | - B Xu
- Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors (Fujian Medical University), Fuzhou, China
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8
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Liao Z, Zheng R, Li N, Shao G. Development and validation of a risk model with variables related to non-small cell lung cancer in patients with pulmonary nodules: a retrospective study. BMC Cancer 2023; 23:872. [PMID: 37718448 PMCID: PMC10506295 DOI: 10.1186/s12885-023-11385-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 09/07/2023] [Indexed: 09/19/2023] Open
Abstract
BACKGROUND Lung cancer is a major global threat to public health for which a novel predictive nomogram is urgently needed. Non-small cell lung cancer (NSCLC) which accounts for the main port of lung cancer cases is attracting more and more people's attention. PATIENTS AND METHODS Here, we designed a novel predictive nomogram using a design dataset consisting of 515 pulmonary nodules, with external validation being performed using a separate dataset consisting of 140 nodules and a separate dataset consisting of 237 nodules. The selection of significant variables for inclusion in this model was achieved using a least absolute shrinkage and selection operator (LASSO) logistic regression model, after which a corresponding nomogram was developed. C-index values, calibration plots, and decision curve analyses were used to gauge the discrimination, calibration, and clinical utility, respectively, of this predictive model. Validation was then performed with the internal bootstrapping validation and external cohorts. RESULTS A predictive nomogram was successfully constructed incorporating hypertension status, plasma fibrinogen levels, blood urea nitrogen (BUN), density, ground-glass opacity (GGO), and pulmonary nodule size as significant variables associated with nodule status. This model exhibited good discriminative ability, with a C-index value of 0.765 (95% CI: 0.722-0.808), and was well-calibrated. In validation analyses, this model yielded C-index values of 0.892 (95% CI: 0.844-0.940) for external cohort and 0.853 (95% CI: 0.807-0.899) for external cohort 2. In the internal bootstrapping validation, C-index value could still reach 0.753. Decision curve analyses supported the clinical value of this predictive nomogram when used at a NSCLC possibility threshold of 18%. CONCLUSION The nomogram constructed in this study, which incorporates hypertension status, plasma fibrinogen levels, BUN, density, GGO status, and pulmonary nodule size, was able to reliably predict NSCLC risk in this Chinese cohort of patients presenting with pulmonary nodules.
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Affiliation(s)
- Zufang Liao
- The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315041, Zhejiang, China
| | - Rongjiong Zheng
- Ningbo Yinzhou NO.2 Hospital, Ningbo, 315192, Zhejiang, China
| | - Ni Li
- Department of Cardiothoracic Surgery, Li Huili Hospital Affiliated to Ningbo University, Xingning Road 57, Ningbo, 315041, Zhejiang, China
| | - Guofeng Shao
- Department of Cardiothoracic Surgery, Li Huili Hospital Affiliated to Ningbo University, Xingning Road 57, Ningbo, 315041, Zhejiang, China.
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9
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Zhou M, Luo X, Zhou QL, Zhou WH, Zheng R, Zhang YN, Wu XF, Wu S, Su J, Xiong GW, Cheng Y, Li YT, Zhang PP, Zhang K, Dai M, Huang XK, Shi ZH, Tao J, Zhou YQ, Feng PY, Chen ZG, Yang QT. [Diagnosis and treatment procedures and health management for patients with hereditary angioedema]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1280-1285. [PMID: 37574324 DOI: 10.3760/cma.j.cn112150-20230509-00359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
As a recognized rare and highly fatal disease, hereditary angioedema (HAE) is difficult to diagnose and characterized by recurrent edema involving the head, limbs, genitals and larynx, etc. Diagnosis of HAE is not difficult. However, low incidence and lack of clinical characteristics lead to difficulty of doctors on timely diagnosis and correct intervention for HAE patients. Therefore, it is crucial to improve the awareness of this disease and prevent its recurrence. for HAE patients. In view of absent cognition of doctors and the general public on HAE, patients often suffer from sudden death or become disabled due to laryngeal edema which cannot be treated in time. Thus, based on the Internet mobile terminal platform, the team set up an all-day rapid emergency response system which is provided for HAE patients by setting up "one-click help". The aim is to offer optimization on overall management of HAE and designed the intelligent follow-up management to provide timely assistance and specialized suggestion for patients with acute attacks.
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Affiliation(s)
- M Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - X Luo
- Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Q L Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - W H Zhou
- Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - R Zheng
- Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Y N Zhang
- Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - X F Wu
- Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - S Wu
- Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - J Su
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - G W Xiong
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y Cheng
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y T Li
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - P P Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - K Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Traditional Chinese Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - M Dai
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Traditional Chinese Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - X K Huang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Z H Shi
- Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - J Tao
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Gastroenterology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y Q Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Respiratory and Intensive Care, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - P Y Feng
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Dermatology and Cosmetic Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Z G Chen
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Q T Yang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Otolaryngology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
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10
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Tang X, Li H, Deng G, Zheng X, Wang X, Huang Y, Gao Y, Meng Z, Qian Z, Liu F, Lu X, Shi Y, Li B, Gu W, Xiang X, Xiong Y, Hou Y, Chen J, Gao N, Luo S, Ji L, Li J, Zheng R, Ren H, Chen J. New Algorithm Rules Out Acute-on-chronic Liver Failure Development within 28 Days from Acute Decompensation of Cirrhosis. J Clin Transl Hepatol 2023; 11:550-559. [PMID: 36969896 PMCID: PMC10037523 DOI: 10.14218/jcth.2022.00196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/27/2022] [Accepted: 07/16/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND AND AIMS Approximately 10% of patients with acute decompensated (AD) cirrhosis develop acute-on-chronic liver failure (ACLF) within 28 days. Such cases have high mortality and are difficult to predict. Therefore, we aimed to establish and validate an algorithm to identify these patients on hospitalization. METHODS Hospitalized patients with AD who developed ACLF within 28 days were considered pre-ACLF. Organ dysfunction was defined according to the chronic liver failure-sequential organ failure assessment (CLIF-SOFA) criteria, and proven bacterial infection was taken to indicate immune system dysfunction. A retrospective multicenter cohort and prospective one were used to derive and to validate the potential algorithm, respectively. A miss rate of <5% was acceptable for the calculating algorithm to rule out pre-ACLF. RESULTS In the derivation cohort (n=673), 46 patients developed ACLF within 28 days. Serum total bilirubin, creatinine, international normalized ratio, and present proven bacterial infection at admission were associated with the development of ACLF. AD patients with ≥2 organ dysfunctions had a higher risk for pre-ACLF patients [odds ratio=16.581 95% confidence interval: (4.271-64.363), p<0.001]. In the derivation cohort, 67.5% of patients (454/673) had ≤1 organ dysfunction and two patients (0.4%) were pre-ACLF, with a miss rate of 4.3% (missed/total, 2/46). In the validation cohort, 65.9% of patients (914/1388) had ≤1 organ dysfunction, and four (0.3%) of them were pre-ACLF, with a miss rate of 3.4% (missed/total, 4/117). CONCLUSIONS AD patients with ≤1 organ dysfunction had a significantly lower risk of developing ACLF within 28 days of admission and could be safely ruled out with a pre-ACLF miss rate of <5%.
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Affiliation(s)
- Xiaoting Tang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China
- National Clinical Research Center of Infectious Disease, Hangzhou, Zhejiang, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China
- National Clinical Research Center of Infectious Disease, Hangzhou, Zhejiang, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Correspondence to: Jinjun Chen, Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China. ORCID: https://orcid.org/0000-0003-4275-9149. Tex/Fax: +86-20-62787423, E-mail:
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11
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Zheng R, Liu G. [Application of machine learning in clinical predictive models for infectious diseases: a review]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:317-321. [PMID: 37455107 DOI: 10.16250/j.32.1374.2023084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Infectious diseases are one of the major threats to global public health. Inconvenience of diagnosis and treatment frequently causes misdiagnosis, missing diagnosis or overtreatment, resulting in serious clinical outcomes. As an important branch of artificial intelligence, machine learning has been widely used in multiple fields. Predictive models created based on patients' clinical characteristics, laboratory tests, and imaging examinations are effective for prediction and evaluation of clinical diagnosis, therapeutic efficacy and prognosis, as well as detection of outbreaks. Machine learning modeling has the advantages of high efficiency, high accuracy and interpretability as compared to traditional modeling approaches, which provides a new tool for diagnosis and treatment of infectious diseases. This review summarizes the advances of applications of machine learning in clinical predictive models for infectious diseases.
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Affiliation(s)
- R Zheng
- Department of Laboratory Medicine, the First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Branch of National Clinical Research Center for Laboratory Medicine, the First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - G Liu
- Department of Laboratory Medicine, the First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Branch of National Clinical Research Center for Laboratory Medicine, the First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu 210029, China
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12
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Deng J, Wang Z, Xu Z, Lai Y, Zheng R, Gao W, Shi J, Sun Y. Blood eosinophils to direct oral corticosteroid treatment for patients with nasal polyps - an open label, non-inferiority, randomized control trial. Rhinology 2023:3073. [PMID: 37066680 DOI: 10.4193/rhin22.328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND Chronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous disorder. We aimed to evaluate the value of blood eosinophil count (BEC) for guiding oral corticosteroid therapy for CRSwNP. METHODS Subjects with CRSwNP were entered into a 2:1 randomized biomarker-directed corticosteroid versus standard therapy study base on the principle of potential benefits to patients. Subjects in the standard arm received oral prednisone (30mg/day) alone for 7 days, whereas in the biomarker-directed arm, prednisone (30mg/day), or nasal steroid spray (budesonide 256ug/day) was given according to the BEC which was measured to define eosinophil-high and -low CRSwNP (BEC ≥ and < 0.37×109/L, respectively). The primary outcome was the total nasal symptom scores (TNSS) of the two arms with the non-inferiority margin of 1.8. Secondary outcomes included nasal polyp size scores (NPSS) and SNOT-22. Patients were followed up the day after last dose of treatment. RESULTS A total of 105 subjects with CRSwNP were randomized into the biomarker-directed therapy group or the standard care group. The biomarker therapy demonstrated non-inferiority compared to standard care. There were no between-group differences for TNSS, NPSS and SNOT-22 improvements after treatment. Comparisons of TNSS, SNOT-22 and NPSS revealed no significant difference in terms of the effectiveness ratios of the biomarker-directed therapy and the standard care. CONCLUSION A biomarker-directed strategy using the BEC can be used to direct corticosteroid therapy without increasing treatment failure or worsening of symptoms in patients with CRSwNP.
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Affiliation(s)
- J Deng
- Otorhinolaryngology Hospital, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Z Wang
- Institute of Otorhinolaryngology and Shenzhen Key of Otorhinolaryngology, Longgang Otorhinolaryngology Hospital, Shenzhen, China
| | - Z Xu
- Otorhinolaryngology Hospital, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Y Lai
- Otorhinolaryngology Hospital, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - R Zheng
- Otorhinolaryngology Hospital, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - W Gao
- Otorhinolaryngology Hospital, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - J Shi
- Otorhinolaryngology Hospital, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Y Sun
- Department of Otolaryngology, the Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
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Wu QW, Yuan LX, Zheng R, Wang XY, Qiu HJ, Zhang YN, Huang XK, Yang QT. [The Top 100 papers in the Journal of Allergy and Clinical Immunology of 90th anniversary]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:303-310. [PMID: 36878517 DOI: 10.3760/cma.j.cn115330-20220721-00452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Affiliation(s)
- Q W Wu
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Allergy, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - L X Yuan
- Department of Science and Research, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - R Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - X Y Wang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - H J Qiu
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Y N Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - X K Huang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
| | - Q T Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China Department of Allergy, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
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Liao Z, Zheng R, Shao G. Mechanisms and application strategies of miRNA‑146a regulating inflammation and fibrosis at molecular and cellular levels (Review). Int J Mol Med 2023; 51:7. [PMID: 36484394 DOI: 10.3892/ijmm.2022.5210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/09/2022] [Indexed: 12/10/2022] Open
Abstract
In the progression of various diseases, inflammation has a critical role. Chronic persistent inflammation is a pivotal trigger of fibrosis. Several microRNAs (miRNAs) participate in inflammation and fibrosis. In recent years, it has been proved that miRNAs are a critical link in physiological and pathological processes. Among them, the miRNA miR‑146a has a pivotal role in the immune system and acquired immunity, making it one of the most studied miRNAs. Due to its essential roles at the molecular and cellular levels, it has broad application prospects in precision medicine. The present comprehensive review focused on the mechanisms of miR‑146a and its application strategies in inflammation and fibrosis, discussing its therapeutic potential. The main signaling pathways through which miR‑146a regulates inflammation and fibrosis and their relationships were covered. Furthermore, the functions and effects of miR‑146a in specific cells, which may join in the process of inflammation and fibrosis, were outlined. Application strategies were also summarized according to recent studies based on these mechanisms.
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Affiliation(s)
- Zufang Liao
- Department of Cardiothoracic Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang 315041, P.R. China
| | - Rongjiong Zheng
- Department of Respiratory Medicine, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang 315192, P.R. China
| | - Guofeng Shao
- Department of Cardiothoracic Surgery, Li Huili Hospital Affiliated to Ningbo University, Ningbo, Zhejiang 315041, P.R. China
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Ouyang R, Li H, Tan W, Wang X, Zheng X, Huang Y, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Liu J, Deng G, Zheng Y, Yan H, Jiang X, Zhang Y, Qiao L, Zhou Y, Hou Y, Xiong Y, Chen J, Luo S, Gao N, Ji L, Li J, Zheng R, Ren H, Wang H, Zhong G, Li B, Chen J. Portal vein thrombosis compromises the performance of MELD and MELD-Na scores in patients with cirrhosis. J Gastroenterol Hepatol 2023; 38:129-137. [PMID: 36345143 DOI: 10.1111/jgh.16053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 10/24/2022] [Accepted: 11/01/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND AND AIMS The accuracy of model for end-stage liver disease (MELD) and MELD with sodium (MELD-Na) scores in reflecting the clinical outcomes of patients with cirrhosis and portal vein thrombosis (PVT) remains unclear. This study aimed to evaluate the performance of scores in predicting 90-day mortality in patients with cirrhosis and PVT. METHODS Post hoc analysis was performed in two prospective cohorts (NCT02457637 and NCT03641872). The correlation between the MELD/MELD-Na score and 90-day liver transplantation (LT)-free mortality was investigated in patients with cirrhosis with and without PVT. RESULTS In this study, 2826 patients with cirrhosis were included, and 255 (9.02%) had PVT. The cumulative incidence of 90-day LT-free mortality did not significantly differ between patients with and without PVT (log-rank P = 0.0854). MELD [area under the receiver operating curve (AUROC), 0.649 vs. 0.842; P = 0.0036] and MELD-Na scores (AUROC, 0.691 vs. 0.851; P = 0.0108) were compared in patients with and without PVT, regarding the prediction of 90-day LT-free mortality. In MELD < 15 and MELD-Na < 20 subgroups, patients with PVT had a higher 90-day LT-free mortality than those without PVT (7.91% vs. 2.64%, log-rank P = 0.0011; 7.14% vs. 3.43%, log-rank P = 0.0223), whereas in MELD ≥ 15 and MELD-Na ≥ 20 subgroups, no significant difference was observed between patients with and without PVT. CONCLUSIONS The performance of MELD and MELD-Na scores in predicting 90-day LT-free mortality of patients with cirrhosis was compromised by PVT. MELD < 15 or MELD-Na < 20 may underestimate the 90-day LT-free mortality in patients with PVT.
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Affiliation(s)
- Renjie Ouyang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Department of Hepatology, Chenzhou No.1 People's Hospital, Chenzhou, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yubao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Department of Infectious Diseases, Shulan Hospital Affiliated to Zhejiang, Shuren University, Shulan International Medical College, Hangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haiyu Wang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guotao Zhong
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Hepatology Unit, Zengcheng Branch, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
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Yu X, Li H, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Chen R, Long L, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Sheng J, Shi Y. Prognosis prediction performs better in patients with non-cirrhosis hepatitis B virus-related acute-on-chronic liver failure than those with cirrhosis. Front Microbiol 2022; 13:1013439. [PMID: 36569093 PMCID: PMC9780594 DOI: 10.3389/fmicb.2022.1013439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 11/18/2022] [Indexed: 12/13/2022] Open
Abstract
Background The accurate prediction of the outcome of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is impeded by population heterogeneity. The study aimed to assess the impact of underlying cirrhosis on the performance of clinical prediction models (CPMs). Methods Using data from two multicenter, prospective cohorts of patients with HBV-ACLF, the discrimination, calibration, and clinical benefit were assessed for CPMs predicting 28-day and 90-day outcomes in patients with cirrhosis and those without, respectively. Results A total of 919 patients with HBV-ACLF were identified by Chinese Group on the Study of Severe Hepatitis B (COSSH) criteria, including 675 with cirrhosis and 244 without. COSSH-ACLF IIs, COSSH-ACLFs, Chronic Liver Failure-Consortium Acute-on-Chronic Liver Failure score (CLIF-C ACLFs), Tongji Prognostic Predictor Model score (TPPMs), Model for End-Stage Liver Disease score (MELDs), and MELD-Sodium score (MELD-Nas) were all strong predictors of short-term mortality in patients with HBV-ACLF. In contrast to a high model discriminative capacity in ACLF without cirrhosis, each prognostic model represents a marked decline of C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) in predicting either 28-day or 90-day prognosis of patients with cirrhosis. The hazard analysis identified largely overlapping risk factors of poor outcomes in both subgroups, while serum bilirubin was specifically associated with short-term mortality in patients with cirrhosis and blood urea nitrogen in patients without cirrhosis. A subgroup analysis in patients with cirrhosis showed a decline of discrimination of CPMS in those with ascites or infections compared to that in those without. Conclusion Predicting the short-term outcome of HBV-ACLF by CPMs is optimal in patients without cirrhosis but limited in those with cirrhosis, at least partially due to the complicated ascites or infections.
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Affiliation(s)
- Xia Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hai Li
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People’s Hospital, Tianjin, China,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Infectious Diseases, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University, Shulan International Medical College, Hangzhou, China
| | - Yubao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shan Yin
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Wenyi Gu
- Department of Gastroenterology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Shue Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Chang Jiang
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jifang Sheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China,*Correspondence: Jifang Sheng,
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China,Yu Shi,
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Liao Z, Zheng R, Shao G. A lung cancer risk prediction model for nonsmokers: A retrospective analysis of lung nodule cohorts in China. J Clin Lab Anal 2022; 36:e24748. [DOI: 10.1002/jcla.24748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
- Zufang Liao
- The Affiliated Lihuili Hospital Ningbo University Ningbo China
| | | | - Guofeng Shao
- Department of Cardiothoracic Surgery Li Huili Hospital Affiliated to Ningbo University Ningbo China
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18
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Zheng R, Zhang Y, Chen R, Pan C, Chen X, Xu B. Necessity of External Iliac Lymph Nodes and Inguinal Nodes Radiation in Rectal Cancer with Anal Canal Involvement. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Kamarajah S, Evans R, Nepogodiev D, Hodson J, Bundred J, Gockel I, Gossage J, Isik A, Kidane B, Mahendran H, Negoi I, Okonta K, Sayyed R, van Hillegersberg R, Vohra R, Wijnhoven B, Singh P, Griffiths E, Kamarajah S, Hodson J, Griffiths E, Alderson D, Bundred J, Evans R, Gossage J, Griffiths E, Jefferies B, Kamarajah S, McKay S, Mohamed I, Nepogodiev D, Siaw-Acheampong K, Singh P, van Hillegersberg R, Vohra R, Wanigasooriya K, Whitehouse T, Gjata A, Moreno J, Takeda F, Kidane B, Guevara Castro R, Harustiak T, Bekele A, Kechagias A, Gockel I, Kennedy A, Da Roit A, Bagajevas A, Azagra J, Mahendran H, Mejía-Fernández L, Wijnhoven B, El Kafsi J, Sayyed R, Sousa M, Sampaio A, Negoi I, Blanco R, Wallner B, Schneider P, Hsu P, Isik A, Gananadha S, Wills V, Devadas M, Duong C, Talbot M, Hii M, Jacobs R, Andreollo N, Johnston B, Darling G, Isaza-Restrepo A, Rosero G, Arias-Amézquita F, Raptis D, Gaedcke J, Reim D, Izbicki J, Egberts J, Dikinis S, Kjaer D, Larsen M, Achiam M, Saarnio J, Theodorou D, Liakakos T, Korkolis D, Robb W, Collins C, Murphy T, Reynolds J, Tonini V, Migliore M, Bonavina L, Valmasoni M, Bardini R, Weindelmayer J, Terashima M, White R, Alghunaim E, Elhadi M, Leon-Takahashi A, Medina-Franco H, Lau P, Okonta K, Heisterkamp J, Rosman C, van Hillegersberg R, Beban G, Babor R, Gordon A, Rossaak J, Pal K, Qureshi A, Naqi S, Syed A, Barbosa J, Vicente C, Leite J, Freire J, Casaca R, Costa R, Scurtu R, Mogoanta S, Bolca C, Constantinoiu S, Sekhniaidze D, Bjelović M, So J, Gačevski G, Loureiro C, Pera M, Bianchi A, Moreno Gijón M, Martín Fernández J, Trugeda Carrera M, Vallve-Bernal M, Cítores Pascual M, Elmahi S, Halldestam I, Hedberg J, Mönig S, Gutknecht S, Tez M, Guner A, Tirnaksiz M, Colak E, Sevinç B, Hindmarsh A, Khan I, Khoo D, Byrom R, Gokhale J, Wilkerson P, Jain P, Chan D, Robertson K, Iftikhar S, Skipworth R, Forshaw M, Higgs S, Gossage J, Nijjar R, Viswanath Y, Turner P, Dexter S, Boddy A, Allum W, Oglesby S, Cheong E, Beardsmore D, Vohra R, Maynard N, Berrisford R, Mercer S, Puig S, Melhado R, Kelty C, Underwood T, Dawas K, Lewis W, Al-Bahrani A, Bryce G, Thomas M, Arndt A, Palazzo F, Meguid R, Fergusson J, Beenen E, Mosse C, Salim J, Cheah S, Wright T, Cerdeira M, McQuillan P, Richardson M, Liem H, Spillane J, Yacob M, Albadawi F, Thorpe T, Dingle A, Cabalag C, Loi K, Fisher O, Ward S, Read M, Johnson M, Bassari R, Bui H, Cecconello I, Sallum R, da Rocha J, Lopes L, Tercioti V, Coelho J, Ferrer J, Buduhan G, Tan L, Srinathan S, Shea P, Yeung J, Allison F, Carroll P, Vargas-Barato F, Gonzalez F, Ortega J, Nino-Torres L, Beltrán-García T, Castilla L, Pineda M, Bastidas A, Gómez-Mayorga J, Cortés N, Cetares C, Caceres S, Duarte S, Pazdro A, Snajdauf M, Faltova H, Sevcikova M, Mortensen P, Katballe N, Ingemann T, Morten B, Kruhlikava I, Ainswort A, Stilling N, Eckardt J, Holm J, Thorsteinsson M, Siemsen M, Brandt B, Nega B, Teferra E, Tizazu A, Kauppila J, Koivukangas V, Meriläinen S, Gruetzmann R, Krautz C, Weber G, Golcher H, Emons G, Azizian A, Ebeling M, Niebisch S, Kreuser N, Albanese G, Hesse J, Volovnik L, Boecher U, Reeh M, Triantafyllou S, Schizas D, Michalinos A, Balli E, Mpoura M, Charalabopoulos A, Manatakis D, Balalis D, Bolger J, Baban C, Mastrosimone A, McAnena O, Quinn A, Ó Súilleabháin C, Hennessy M, Ivanovski I, Khizer H, Ravi N, Donlon N, Cervellera M, Vaccari S, Bianchini S, Sartarelli L, Asti E, Bernardi D, Merigliano S, Provenzano L, Scarpa M, Saadeh L, Salmaso B, De Manzoni G, Giacopuzzi S, La Mendola R, De Pasqual C, Tsubosa Y, Niihara M, Irino T, Makuuchi R, Ishii K, Mwachiro M, Fekadu A, Odera A, Mwachiro E, AlShehab D, Ahmed H, Shebani A, Elhadi A, Elnagar F, Elnagar H, Makkai-Popa S, Wong L, Tan Y, Thannimalai S, Ho C, Pang W, Tan J, Basave H, Cortés-González R, Lagarde S, van Lanschot J, Cords C, Jansen W, Martijnse I, Matthijsen R, Bouwense S, Klarenbeek B, Verstegen M, van Workum F, Ruurda J, van der Sluis P, de Maat M, Evenett N, Johnston P, Patel R, MacCormick A, Young M, Smith B, Ekwunife C, Memon A, Shaikh K, Wajid A, Khalil N, Haris M, Mirza Z, Qudus S, Sarwar M, Shehzadi A, Raza A, Jhanzaib M, Farmanali J, Zakir Z, Shakeel O, Nasir I, Khattak S, Baig M, MA N, Ahmed H, Naeem A, Pinho A, da Silva R, Bernardes A, Campos J, Matos H, Braga T, Monteiro C, Ramos P, Cabral F, Gomes M, Martins P, Correia A, Videira J, Ciuce C, Drasovean R, Apostu R, Ciuce C, Paitici S, Racu A, Obleaga C, Beuran M, Stoica B, Ciubotaru C, Negoita V, Cordos I, Birla R, Predescu D, Hoara P, Tomsa R, Shneider V, Agasiev M, Ganjara I, Gunjić D, Veselinović M, Babič T, Chin T, Shabbir A, Kim G, Crnjac A, Samo H, Díez del Val I, Leturio S, Ramón J, Dal Cero M, Rifá S, Rico M, Pagan Pomar A, Martinez Corcoles J, Rodicio Miravalles J, Pais S, Turienzo S, Alvarez L, Campos P, Rendo A, García S, Santos E, Martínez E, Fernández Díaz M, Magadán Álvarez C, Concepción Martín V, Díaz López C, Rosat Rodrigo A, Pérez Sánchez L, Bailón Cuadrado M, Tinoco Carrasco C, Choolani Bhojwani E, Sánchez D, Ahmed M, Dzhendov T, Lindberg F, Rutegård M, Sundbom M, Mickael C, Colucci N, Schnider A, Er S, Kurnaz E, Turkyilmaz S, Turkyilmaz A, Yildirim R, Baki B, Akkapulu N, Karahan O, Damburaci N, Hardwick R, Safranek P, Sujendran V, Bennett J, Afzal Z, Shrotri M, Chan B, Exarchou K, Gilbert T, Amalesh T, Mukherjee D, Mukherjee S, Wiggins T, Kennedy R, McCain S, Harris A, Dobson G, Davies N, Wilson I, Mayo D, Bennett D, Young R, Manby P, Blencowe N, Schiller M, Byrne B, Mitton D, Wong V, Elshaer A, Cowen M, Menon V, Tan L, McLaughlin E, Koshy R, Sharp C, Brewer H, Das N, Cox M, Al Khyatt W, Worku D, Iqbal R, Walls L, McGregor R, Fullarton G, Macdonald A, MacKay C, Craig C, Dwerryhouse S, Hornby S, Jaunoo S, Wadley M, Baker C, Saad M, Kelly M, Davies A, Di Maggio F, McKay S, Mistry P, Singhal R, Tucker O, Kapoulas S, Powell-Brett S, Davis P, Bromley G, Watson L, Verma R, Ward J, Shetty V, Ball C, Pursnani K, Sarela A, Sue Ling H, Mehta S, Hayden J, To N, Palser T, Hunter D, Supramaniam K, Butt Z, Ahmed A, Kumar S, Chaudry A, Moussa O, Kordzadeh A, Lorenzi B, Wilson M, Patil P, Noaman I, Willem J, Bouras G, Evans R, Singh M, Warrilow H, Ahmad A, Tewari N, Yanni F, Couch J, Theophilidou E, Reilly J, Singh P, van Boxel Gijs, Akbari K, Zanotti D, Sgromo B, Sanders G, Wheatley T, Ariyarathenam A, Reece-Smith A, Humphreys L, Choh C, Carter N, Knight B, Pucher P, Athanasiou A, Mohamed I, Tan B, Abdulrahman M, Vickers J, Akhtar K, Chaparala R, Brown R, Alasmar M, Ackroyd R, Patel K, Tamhankar A, Wyman A, Walker R, Grace B, Abbassi N, Slim N, Ioannidi L, Blackshaw G, Havard T, Escofet X, Powell A, Owera A, Rashid F, Jambulingam P, Padickakudi J, Ben-Younes H, Mccormack K, Makey I, Karush M, Seder C, Liptay M, Chmielewski G, Rosato E, Berger A, Zheng R, Okolo E, Singh A, Scott C, Weyant M, Mitchell J. The influence of anastomotic techniques on postoperative anastomotic complications: Results of the Oesophago-Gastric Anastomosis Audit. J Thorac Cardiovasc Surg 2022; 164:674-684.e5. [PMID: 35249756 DOI: 10.1016/j.jtcvs.2022.01.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/22/2021] [Accepted: 01/18/2022] [Indexed: 12/08/2022]
Abstract
BACKGROUND The optimal anastomotic techniques in esophagectomy to minimize rates of anastomotic leakage and conduit necrosis are not known. The aim of this study was to assess whether the anastomotic technique was associated with anastomotic failure after esophagectomy in the international Oesophago-Gastric Anastomosis Audit cohort. METHODS This prospective observational multicenter cohort study included patients undergoing esophagectomy for esophageal cancer over 9 months during 2018. The primary exposure was the anastomotic technique, classified as handsewn, linear stapled, or circular stapled. The primary outcome was anastomotic failure, namely a composite of anastomotic leakage and conduit necrosis, as defined by the Esophageal Complications Consensus Group. Multivariable logistic regression modeling was used to identify the association between anastomotic techniques and anastomotic failure, after adjustment for confounders. RESULTS Of the 2238 esophagectomies, the anastomosis was handsewn in 27.1%, linear stapled in 21.0%, and circular stapled in 51.9%. Anastomotic techniques differed significantly by the anastomosis sites (P < .001), with the majority of neck anastomoses being handsewn (69.9%), whereas most chest anastomoses were stapled (66.3% circular stapled and 19.3% linear stapled). Rates of anastomotic failure differed significantly among the anastomotic techniques (P < .001), from 19.3% in handsewn anastomoses, to 14.0% in linear stapled anastomoses, and 12.1% in circular stapled anastomoses. This effect remained significant after adjustment for confounding factors on multivariable analysis, with an odds ratio of 0.63 (95% CI, 0.46-0.86; P = .004) for circular stapled versus handsewn anastomosis. However, subgroup analysis by anastomosis site suggested that this effect was predominantly present in neck anastomoses, with anastomotic failure rates of 23.2% versus 14.6% versus 5.9% for handsewn versus linear stapled anastomoses versus circular stapled neck anastomoses, compared with 13.7% versus 13.8% versus 12.2% for chest anastomoses. CONCLUSIONS Handsewn anastomoses appear to be independently associated with higher rates of anastomotic failure compared with stapled anastomoses. However, this effect seems to be largely confined to neck anastomoses, with minimal differences between techniques observed for chest anastomoses. Further research into standardization of anastomotic approach and techniques may further improve outcomes.
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Shi YK, Zhou J, Zhao Y, Zhu B, Zhang L, Li X, Fang J, Shi J, Zhuang Z, Yang S, Wang D, Yu H, Zhang L, Zheng R, Greco M, Wang T, Mo F. 981P A phase IIa study to evaluate safety and efficacy of rezivertinib (BPI-7711) in locally advanced or metastatic/recurrent treatment-naïve NSCLC patients with EGFR mutation. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Chen ZP, Wu XF, Zheng BW, Chen QL, Yuan T, Zheng R, Chen JY, Kong WF, Wu S, Kang Z, Ren J, Yang QT. [Application of locating supratrochlear artery and supraorbital artery in combined transfrontal and intranasal endoscopic approaches]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:931-936. [PMID: 36058658 DOI: 10.3760/cma.j.cn115330-20210805-00526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the localization methods of supratrochlear artery (STA) and supraorbital artery (SOA), and to explore the clinical benefit of locating nerve via accompanying vascular localization in combined transfrontal and intranasal endoscopic approaches. Methods: From June 2019 to May 2021, 14 patients, including 11 males and 3 females, aging from 18 to 69 years old, were underwent frontal sinus surgery through the combined transfrontal and intranasal endoscopic approaches in the Department of Otorhinolaryngology Head and Neck Surgery of the Third Affiliated Hospital of Sun Yat-sen University. Before the surgery, localization of STA and SOA was determined by color doppler flow imaging (CDFI), computerized topographic angiography (CTA) and contrast enhanced magnetic resonance angiography (CE-MRA) respectively, and the distances between STA and SOA from facial midline were measured on 28 eyebrows. The position of external incision was determined according to the preoperative localization of STA and SOA. The examination time, cost and postoperative complications of the three methods were recorded. The accuracy of localization at 14 sides was verified by the surgery. GraphPad Prism 8.3 software was used for statistical analysis. Results: STA and SOA could be located by CDFI, CTA and CE-MRA. There was no significant difference in the measurement of the distance between STA and SOA from the facial midline among 3 methods (all P>0.05). Determining the position of external incision according to the localization of STA and SOA could protect both the blood vessels and accompanying nerves. No postoperative complications such as numbness of the forehead skin occurred. The measurement time of CDFI, CTA and CE-MRA was 22.50 (15.75, 30.00), 30.00 (28.00, 34.25) and 48.00 (44.00, 52.75) min (M (Q1, Q3)), respectively (all P<0.05). CDFI incurred the lowest costs and took the shortest time. Conclusions: CDFI is an efficient and economic localization method. The localization of STA and SOA facilitates the precise selection of the position of external incision, protects the accompanying nerve and reduces postoperative complications.
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Affiliation(s)
- Z P Chen
- Department of Ophthalmology and Otorhinolaryngology, the Second People's Hospital of Longgang District, Shenzhen 518112, China
| | - X F Wu
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - B W Zheng
- Department of Ultrasonography, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Q L Chen
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - T Yuan
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - R Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - J Y Chen
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - W F Kong
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - S Wu
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Z Kang
- Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - J Ren
- Department of Ultrasonography, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Q T Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
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Zhu Y, Li H, Wang X, Zheng X, Huang Y, Chen J, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Yan H, Zheng Y, Qiao L, Zhang Y, Xiang X, Dan Y, Sun S, Hou Y, Zhang Q, Xiong Y, Li S, Chen J, Huang Z, Li B, Jiang X, Luo S, Chen Y, Gao N, Liu C, Ji L, Yuan W, Li J, Li T, Zheng R, Zhou X, Ren H, Zhou Y, Xu B, Yu R, Tan W, Deng G. Hepatitis B Virus Reactivation Increased the Risk of Developing Hepatic Failure and Mortality in Cirrhosis With Acute Exacerbation. Front Microbiol 2022; 13:910549. [PMID: 35875559 PMCID: PMC9300993 DOI: 10.3389/fmicb.2022.910549] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background and AimsHepatitis B virus (HBV) reactivation is a serious condition and has been extensively described in chemotherapeutic immunosuppressive population. However, little is known about HBV reactivation in immunocompetent patients with chronic hepatitis B (CHB). In this study, we evaluated the prevalence and the clinical significance of HBV reactivation in CHB patients with acute exacerbations.MethodPatients were screened from two prospective multicenter observational cohorts (CATCH-LIFE cohort). A total of 1,020 CHB patients with previous antiviral treatment history were included to assess the prevalence, risk factors, clinical characteristics of HBV reactivation, and its influence on the progression of chronic liver disease.ResultsThe prevalence of HBV reactivation was 51.9% in CHB patients with acute exacerbations who had antiviral treatment history in our study. Among the 529 patients with HBV reactivation, 70.9% of them were triggered by discontinued antiviral treatment and 5.9% by nucleos(t)ide analogs (NUCs) resistance. The prevalence of antiviral treatment disruption and NUCs resistance in patients with HBV reactivation is much higher than that in the patients without (70.9% vs. 0.2%, and 5.9% vs. 0, respectively, both p < 0.001). Stratified and interaction analysis showed that HBV reactivation was correlated with high short-term mortality in cirrhosis subgroup (HR = 2.1, p < 0.001). Cirrhotic patients with HBV reactivation had a significantly higher proportion of developing hepatic failure (45.0% vs. 20.3%, p < 0.001), acute-on-chronic liver failure (ACLF; 31.4% vs. 21.8%, p = 0.005), and short-term death (14.0% vs. 5.9% for 28-day, and 23.3% vs. 12.4% for 90-day, both p < 0.001) than those without. HBV reactivation is an independent risk factor of 90-day mortality for cirrhosis patients (OR = 1.70, p = 0.005), as well as hepatic encephalopathy, ascites, and bacterial infection.ConclusionThis study clearly demonstrated that there was a high prevalence of HBV reactivation in CHB patients, which was mainly triggered by discontinued antiviral treatment. The HBV reactivation strongly increased the risk of developing hepatic failure, ACLF and short-term death in HBV-related cirrhotic patients, which may suggest that HBV reactivation would be a new challenge in achieving the WHO target of 65% reduction in mortality from hepatitis B by 2030.
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Affiliation(s)
- Ying Zhu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Therapy of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Hepatology, Hwamei Hospital, Ningbo No.2 Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Yubao Zheng
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Yunjie Dan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Shuning Sun
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sumeng Li
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Therapy of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Therapy of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Chunyan Liu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Liujuan Ji
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Baoyan Xu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
| | - Rentao Yu
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
- Wenting Tan,
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- Chongqing Key Laboratory for Research of Infectious Disease, Chongqing, China
- *Correspondence: Guohong Deng,
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Wang T, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Yan H, Zheng Y, Zhang W, Yin S, Gu W, Zhang Y, Dong F, Wei J, Deng G, Xiang X, Zhou Y, Hou Y, Zhang Q, Xiong S, Liu J, Long L, Chen R, Chen J, Jiang X, Luo S, Chen Y, Jiang C, Zhao J, Ji L, Mei X, Li J, Li T, Zheng R, Zhou X, Ren H, Shi Y, Li H. Role of precipitants on transition of acute decompensation to acute-on-chronic liver failure in patients with HBV-related cirrhosis. JHEP Rep 2022; 4:100529. [PMID: 36052222 PMCID: PMC9424579 DOI: 10.1016/j.jhepr.2022.100529] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/14/2022] [Indexed: 12/13/2022] Open
Abstract
Background & Aims Pre-acute-on-chronic liver failure (ACLF) is a distinct intermediate stage between acute decompensation (AD) and ACLF. However, identifying patients with pre-ACLF and predicting progression from AD to ACLF is difficult. This study aimed to identify pre-ACLF within 28 days, and to develop and validate a prediction model for ACLF in patients with HBV-related decompensated cirrhosis. Methods In total, 1,736 patients with HBV-related cirrhosis and AD were enrolled from 2 large-scale, multicenter, prospective cohorts. ACLF occurrence within 28 days, readmission, and 3-month and 1-year outcomes were collected. Results Among 970 patients with AD without ACLF in the derivation cohort, the 94 (9.6%) patients with pre-ACLF had the highest 3-month and 1-year LT-free mortality (61.6% and 70.9%, respectively), which was comparable to those with ACLF at enrollment (57.1% and 67.1%); the 251 (25.9%) patients with unstable decompensated cirrhosis had mortality rates of 22.4% and 32.1%, respectively; while the 507 (57.9%) patients with stable decompensated cirrhosis had the best outcomes (1-year mortality rate of 2.6%). Through Cox proportional hazard regression, specific precipitants, including hepatitis B flare with HBV reactivation, spontaneous hepatitis B flare with high viral load, superimposed infection on HBV, and bacterial infection, were identified to be significantly associated with ACLF occurrence in the derivation cohort. A model that incorporated precipitants, indicators of systemic inflammation and organ injuries reached a high C-index of 0.90 and 0.86 in derivation and validation cohorts, respectively. The optimal cut-off value (0.22) differentiated high-risk and low-risk patients, with a negative predictive value of 0.95. Conclusions Three distinct clinical courses of patients with AD are validated in the HBV-etiology population. The precipitants significantly impact on AD-ACLF transition. A model developed by the precipitant–systemic inflammation–organ injury framework could be a useful tool for predicting ACLF occurrence. Clinical trial number NCT02457637 and NCT03641872. Lay summary It was previously shown that patients with decompensated cirrhosis could be stratified into 3 groups based on their short-term clinical prognoses. Herein, we showed that this stratification applies to patients who develop cirrhosis as a result of hepatitis B virus infection. We also developed a precipitant-based model (i.e. a model that incorporated information about the exact cause of decompensation) that could predict the likelihood of these patients developing a very severe liver disease called acute-on-chronic liver failure (or ACLF). Three distinct clinical trajectories were validated in patients with HBV-related cirrhosis. Specific precipitants were associated with an increased risk of developing ACLF. Models incorporating precipitants performed better for the prediction of ACLF development.
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Wang H, Liu H, Zhang Q, Lu X, Li D, Zhang H, Wang YA, Zheng R, Zhang Y, Fu Z, Lin K, Qiu C, Wang YO, Gu Y, Ai J, Zhang W. Natural History of and Dynamic Changes in Clinical Manifestation, Serology, and Treatment of Brucellosis, China. Emerg Infect Dis 2022; 28:1460-1465. [PMID: 35731038 PMCID: PMC9239867 DOI: 10.3201/eid2807.211766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In China, 13.3% of human brucellosis cases progressed to chronic disease; serum agglutination test might cause treatment elongation. Serum agglutination test plus exposure history were used to diagnose most cases of human brucellosis in 2 China provinces. After appropriate treatment, 13.3% of acute brucellosis cases progressed to chronic disease; arthritis was an early predictor. Seropositivity can persist after symptoms disappear, which might cause physicians to subjectively extend therapeutic regimens.
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Yan Y, Zheng R, Liu H, Wu Z, Hao M, Ma L, Wang L, Gao J, Yang Y, Liu D, Lu X. Identifying Japanese Encephalitis Virus Using Metatranscriptomic Sequencing, Xinjiang Province, China. Emerg Infect Dis 2022; 28:1298-1300. [PMID: 35608868 PMCID: PMC9155892 DOI: 10.3201/eid2806.210616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
The treat of infectious disease epidemics has increased the critical need for continuous broad-ranging surveillance of pathogens with outbreak potential. Using metatranscriptomic sequencing of blood samples, we identified several cases of Japanese encephalitis virus infection from Xinjiang Uyghur Autonomous Region, China. This discovery highlights the risk for known viral diseases even in nonendemic areas.
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Kamarajah SK, Evans RPT, Nepogodiev D, Hodson J, Bundred JR, Gockel I, Gossage JA, Isik A, Kidane B, Mahendran HA, Negoi I, Okonta KE, Sayyed R, van Hillegersberg R, Vohra RS, Wijnhoven BPL, Singh P, Griffiths EA, Kamarajah SK, Hodson J, Griffiths EA, Alderson D, Bundred J, Evans RPT, Gossage J, Griffiths EA, Jefferies B, Kamarajah SK, McKay S, Mohamed I, Nepogodiev D, Siaw-Acheampong K, Singh P, van Hillegersberg R, Vohra R, Wanigasooriya K, Whitehouse T, Gjata A, Moreno JI, Takeda FR, Kidane B, Guevara Castro R, Harustiak T, Bekele A, Kechagias A, Gockel I, Kennedy A, Da Roit A, Bagajevas A, Azagra JS, Mahendran HA, Mejía-Fernández L, Wijnhoven BPL, El Kafsi J, Sayyed RH, Sousa M M, Sampaio AS, Negoi I, Blanco R, Wallner B, Schneider PM, Hsu PK, Isik A, Gananadha S, Wills V, Devadas M, Duong C, Talbot M, Hii MW, Jacobs R, Andreollo NA, Johnston B, Darling G, Isaza-Restrepo A, Rosero G, Arias-Amézquita F, Raptis D, Gaedcke J, Reim D, Izbicki J, Egberts JH, Dikinis S, Kjaer DW, Larsen MH, Achiam MP, Saarnio J, Theodorou D, Liakakos T, Korkolis DP, Robb WB, Collins C, Murphy T, Reynolds J, Tonini V, Migliore M, Bonavina L, Valmasoni M, Bardini R, Weindelmayer J, Terashima M, White RE, Alghunaim E, Elhadi M, Leon-Takahashi AM, Medina-Franco H, Lau PC, Okonta KE, Heisterkamp J, Rosman C, van Hillegersberg R, Beban G, Babor R, Gordon A, Rossaak JI, Pal KMI, Qureshi AU, Naqi SA, Syed AA, Barbosa J, Vicente CS, Leite J, Freire J, Casaca R, Costa RCT, Scurtu RR, Mogoanta SS, Bolca C, Constantinoiu S, Sekhniaidze D, Bjelović M, So JBY, Gačevski G, Loureiro C, Pera M, Bianchi A, Moreno Gijón M, Martín Fernández J, Trugeda Carrera MS, Vallve-Bernal M, Cítores Pascual MA, Elmahi S, Halldestam I, Hedberg J, Mönig S, Gutknecht S, Tez M, Guner A, Tirnaksiz MB, Colak E, Sevinç B, Hindmarsh A, Khan I, Khoo D, Byrom R, Gokhale J, Wilkerson P, Jain P, Chan D, Robertson K, Iftikhar S, Skipworth R, Forshaw M, Higgs S, Gossage J, Nijjar R, Viswanath YKS, Turner P, Dexter S, Boddy A, Allum WH, Oglesby S, Cheong E, Beardsmore D, Vohra R, Maynard N, Berrisford R, Mercer S, Puig S, Melhado R, Kelty C, Underwood T, Dawas K, Lewis W, Bryce G, Thomas M, Arndt AT, Palazzo F, Meguid RA, Fergusson J, Beenen E, Mosse C, Salim J, Cheah S, Wright T, Cerdeira MP, McQuillan P, Richardson M, Liem H, Spillane J, Yacob M, Albadawi F, Thorpe T, Dingle A, Cabalag C, Loi K, Fisher OM, Ward S, Read M, Johnson M, Bassari R, Bui H, Cecconello I, Sallum RAA, da Rocha JRM, Lopes LR, Tercioti Jr V, Coelho JDS, Ferrer JAP, Buduhan G, Tan L, Srinathan S, Shea P, Yeung J, Allison F, Carroll P, Vargas-Barato F, Gonzalez F, Ortega J, Nino-Torres L, Beltrán-García TC, Castilla L, Pineda M, Bastidas A, Gómez-Mayorga J, Cortés N, Cetares C, Caceres S, Duarte S, Pazdro A, Snajdauf M, Faltova H, Sevcikova M, Mortensen PB, Katballe N, Ingemann T, Morten B, Kruhlikava I, Ainswort AP, Stilling NM, Eckardt J, Holm J, Thorsteinsson M, Siemsen M, Brandt B, Nega B, Teferra E, Tizazu A, Kauppila JH, Koivukangas V, Meriläinen S, Gruetzmann R, Krautz C, Weber G, Golcher H, Emons G, Azizian A, Ebeling M, Niebisch S, Kreuser N, Albanese G, Hesse J, Volovnik L, Boecher U, Reeh M, Triantafyllou S, Schizas D, Michalinos A, Balli E, Mpoura M, Charalabopoulos A, Manatakis DK, Balalis D, Bolger J, Baban C, Mastrosimone A, McAnena O, Quinn A, Ó Súilleabháin CB, Hennessy MM, Ivanovski I, Khizer H, Ravi N, Donlon N, Cervellera M, Vaccari S, Bianchini S, Asti E, Bernardi D, Merigliano S, Provenzano L, Scarpa M, Saadeh L, Salmaso B, De Manzoni G, Giacopuzzi S, La Mendola R, De Pasqual CA, Tsubosa Y, Niihara M, Irino T, Makuuchi R, Ishii K K, Mwachiro M, Fekadu A, Odera A, Mwachiro E, AlShehab D, Ahmed HA, Shebani AO, Elhadi A, Elnagar FA, Elnagar HF, Makkai-Popa ST, Wong LF, Tan YR, Thannimalai S, Ho CA, Pang WS, Tan JH, Basave HNL, Cortés-González R, Lagarde SM, van Lanschot JJB, Cords C, Jansen WA, Martijnse I, Matthijsen R, Bouwense S, Klarenbeek B, Verstegen M, van Workum F, Ruurda JP, van der Sluis PC, de Maat M, Evenett N, Johnston P, Patel R, MacCormick A, Smith B, Ekwunife C, Memon AH, Shaikh K, Wajid A, Khalil N, Haris M, Mirza ZU, Qudus SBA, Sarwar MZ, Shehzadi A, Raza A, Jhanzaib MH, Farmanali J, Zakir Z, Shakeel O, Nasir I, Khattak S, Baig M, Noor MA, Ahmed HH, Naeem A, Pinho AC, da Silva R, Bernardes A, Campos JC, Matos H, Braga T, Monteiro C, Ramos P, Cabral F, Gomes MP, Martins PC, Correia AM, Videira JF, Ciuce C, Drasovean R, Apostu R, Ciuce C, Paitici S, Racu AE, Obleaga CV, Beuran M, Stoica B, Ciubotaru C, Negoita V, Cordos I, Birla RD, Predescu D, Hoara PA, Tomsa R, Shneider V, Agasiev M, Ganjara I, Gunjić D, Veselinović M, Babič T, Chin TS, Shabbir A, Kim G, Crnjac A, Samo H, Díez del Val I, Leturio S, Ramón JM, Dal Cero M, Rifá S, Rico M, Pagan Pomar A, Martinez Corcoles JA, Rodicio Miravalles JL, Pais SA, Turienzo SA, Alvarez LS, Campos PV, Rendo AG, García SS, Santos EPG, Martínez ET, Fernández Díaz MJ, Magadán Álvarez C, Concepción Martín V, Díaz López C, Rosat Rodrigo A, Pérez Sánchez LE, Bailón Cuadrado M, Tinoco Carrasco C, Choolani Bhojwani E, Sánchez DP, Ahmed ME, Dzhendov T, Lindberg F, Rutegård M, Sundbom M, Mickael C, Colucci N, Schnider A, Er S, Kurnaz E, Turkyilmaz S, Turkyilmaz A, Yildirim R, Baki BE, Akkapulu N, Karahan O, Damburaci N, Hardwick R, Safranek P, Sujendran V, Bennett J, Afzal Z, Shrotri M, Chan B, Exarchou K, Gilbert T, Amalesh T, Mukherjee D, Mukherjee S, Wiggins TH, Kennedy R, McCain S, Harris A, Dobson G, Davies N, Wilson I, Mayo D, Bennett D, Young R, Manby P, Blencowe N, Schiller M, Byrne B, Mitton D, Wong V, Elshaer A, Cowen M, Menon V, Tan LC, McLaughlin E, Koshy R, Sharp C, Brewer H, Das N, Cox M, Al Khyatt W, Worku D, Iqbal R, Walls L, McGregor R, Fullarton G, Macdonald A, MacKay C, Craig C, Dwerryhouse S, Hornby S, Jaunoo S, Wadley M, Baker C, Saad M, Kelly M, Davies A, Di Maggio F, McKay S, Mistry P, Singhal R, Tucker O, Kapoulas S, Powell-Brett S, Davis P, Bromley G, Watson L, Verma R, Ward J, Shetty V, Ball C, Pursnani K, Sarela A, Sue Ling H, Mehta S, Hayden J, To N, Palser T, Hunter D, Supramaniam K, Butt Z, Ahmed A, Kumar S, Chaudry A, Moussa O, Kordzadeh A, Lorenzi B, Wilson M, Patil P, Noaman I, Bouras G, Evans R, Singh M, Warrilow H, Ahmad A, Tewari N, Yanni F, Couch J, Theophilidou E, Reilly JJ, Singh P, van Boxel G, Akbari K, Zanotti D, Sanders G, Wheatley T, Ariyarathenam A, Reece-Smith A, Humphreys L, Choh C, Carter N, Knight B, Pucher P, Athanasiou A, Mohamed I, Tan B, Abdulrahman M, Vickers J, Akhtar K, Chaparala R, Brown R, Alasmar MMA, Ackroyd R, Patel K, Tamhankar A, Wyman A, Walker R, Grace B, Abbassi N, Slim N, Ioannidi L, Blackshaw G, Havard T, Escofet X, Powell A, Owera A, Rashid F, Jambulingam P, Padickakudi J, Ben-Younes H, Mccormack K, Makey IA, Karush MK, Seder CW, Liptay MJ, Chmielewski G, Rosato EL, Berger AC, Zheng R, Okolo E, Singh A, Scott CD, Weyant MJ, Mitchell JD. Textbook outcome following oesophagectomy for cancer: international cohort study. Br J Surg 2022. [DOI: https://doi.org/10.1093/bjs/znac016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Background
Textbook outcome has been proposed as a tool for the assessment of oncological surgical care. However, an international assessment in patients undergoing oesophagectomy for oesophageal cancer has not been reported. This study aimed to assess textbook outcome in an international setting.
Methods
Patients undergoing curative resection for oesophageal cancer were identified from the international Oesophagogastric Anastomosis Audit (OGAA) from April 2018 to December 2018. Textbook outcome was defined as the percentage of patients who underwent a complete tumour resection with at least 15 lymph nodes in the resected specimen and an uneventful postoperative course, without hospital readmission. A multivariable binary logistic regression model was used to identify factors independently associated with textbook outcome, and results are presented as odds ratio (OR) and 95 per cent confidence intervals (95 per cent c.i.).
Results
Of 2159 patients with oesophageal cancer, 39.7 per cent achieved a textbook outcome. The outcome parameter ‘no major postoperative complication’ had the greatest negative impact on a textbook outcome for patients with oesophageal cancer, compared to other textbook outcome parameters. Multivariable analysis identified male gender and increasing Charlson comorbidity index with a significantly lower likelihood of textbook outcome. Presence of 24-hour on-call rota for oesophageal surgeons (OR 2.05, 95 per cent c.i. 1.30 to 3.22; P = 0.002) and radiology (OR 1.54, 95 per cent c.i. 1.05 to 2.24; P = 0.027), total minimally invasive oesophagectomies (OR 1.63, 95 per cent c.i. 1.27 to 2.08; P < 0.001), and chest anastomosis above azygous (OR 2.17, 95 per cent c.i. 1.58 to 2.98; P < 0.001) were independently associated with a significantly increased likelihood of textbook outcome.
Conclusion
Textbook outcome is achieved in less than 40 per cent of patients having oesophagectomy for cancer. Improvements in centralization, hospital resources, access to minimal access surgery, and adoption of newer techniques for improving lymph node yield could improve textbook outcome.
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Kamarajah SK, Evans RPT, Nepogodiev D, Hodson J, Bundred JR, Gockel I, Gossage JA, Isik A, Kidane B, Mahendran HA, Negoi I, Okonta KE, Sayyed R, van Hillegersberg R, Vohra RS, Wijnhoven BPL, Singh P, Griffiths EA, Kamarajah SK, Hodson J, Griffiths EA, Alderson D, Bundred J, Evans RPT, Gossage J, Griffiths EA, Jefferies B, Kamarajah SK, McKay S, Mohamed I, Nepogodiev D, Siaw-Acheampong K, Singh P, van Hillegersberg R, Vohra R, Wanigasooriya K, Whitehouse T, Gjata A, Moreno JI, Takeda FR, Kidane B, Guevara Castro R, Harustiak T, Bekele A, Kechagias A, Gockel I, Kennedy A, Da Roit A, Bagajevas A, Azagra JS, Mahendran HA, Mejía-Fernández L, Wijnhoven BPL, El Kafsi J, Sayyed RH, Sousa M M, Sampaio AS, Negoi I, Blanco R, Wallner B, Schneider PM, Hsu PK, Isik A, Gananadha S, Wills V, Devadas M, Duong C, Talbot M, Hii MW, Jacobs R, Andreollo NA, Johnston B, Darling G, Isaza-Restrepo A, Rosero G, Arias-Amézquita F, Raptis D, Gaedcke J, Reim D, Izbicki J, Egberts JH, Dikinis S, Kjaer DW, Larsen MH, Achiam MP, Saarnio J, Theodorou D, Liakakos T, Korkolis DP, Robb WB, Collins C, Murphy T, Reynolds J, Tonini V, Migliore M, Bonavina L, Valmasoni M, Bardini R, Weindelmayer J, Terashima M, White RE, Alghunaim E, Elhadi M, Leon-Takahashi AM, Medina-Franco H, Lau PC, Okonta KE, Heisterkamp J, Rosman C, van Hillegersberg R, Beban G, Babor R, Gordon A, Rossaak JI, Pal KMI, Qureshi AU, Naqi SA, Syed AA, Barbosa J, Vicente CS, Leite J, Freire J, Casaca R, Costa RCT, Scurtu RR, Mogoanta SS, Bolca C, Constantinoiu S, Sekhniaidze D, Bjelović M, So JBY, Gačevski G, Loureiro C, Pera M, Bianchi A, Moreno Gijón M, Martín Fernández J, Trugeda Carrera MS, Vallve-Bernal M, Cítores Pascual MA, Elmahi S, Halldestam I, Hedberg J, Mönig S, Gutknecht S, Tez M, Guner A, Tirnaksiz MB, Colak E, Sevinç B, Hindmarsh A, Khan I, Khoo D, Byrom R, Gokhale J, Wilkerson P, Jain P, Chan D, Robertson K, Iftikhar S, Skipworth R, Forshaw M, Higgs S, Gossage J, Nijjar R, Viswanath YKS, Turner P, Dexter S, Boddy A, Allum WH, Oglesby S, Cheong E, Beardsmore D, Vohra R, Maynard N, Berrisford R, Mercer S, Puig S, Melhado R, Kelty C, Underwood T, Dawas K, Lewis W, Bryce G, Thomas M, Arndt AT, Palazzo F, Meguid RA, Fergusson J, Beenen E, Mosse C, Salim J, Cheah S, Wright T, Cerdeira MP, McQuillan P, Richardson M, Liem H, Spillane J, Yacob M, Albadawi F, Thorpe T, Dingle A, Cabalag C, Loi K, Fisher OM, Ward S, Read M, Johnson M, Bassari R, Bui H, Cecconello I, Sallum RAA, da Rocha JRM, Lopes LR, Tercioti Jr V, Coelho JDS, Ferrer JAP, Buduhan G, Tan L, Srinathan S, Shea P, Yeung J, Allison F, Carroll P, Vargas-Barato F, Gonzalez F, Ortega J, Nino-Torres L, Beltrán-García TC, Castilla L, Pineda M, Bastidas A, Gómez-Mayorga J, Cortés N, Cetares C, Caceres S, Duarte S, Pazdro A, Snajdauf M, Faltova H, Sevcikova M, Mortensen PB, Katballe N, Ingemann T, Morten B, Kruhlikava I, Ainswort AP, Stilling NM, Eckardt J, Holm J, Thorsteinsson M, Siemsen M, Brandt B, Nega B, Teferra E, Tizazu A, Kauppila JH, Koivukangas V, Meriläinen S, Gruetzmann R, Krautz C, Weber G, Golcher H, Emons G, Azizian A, Ebeling M, Niebisch S, Kreuser N, Albanese G, Hesse J, Volovnik L, Boecher U, Reeh M, Triantafyllou S, Schizas D, Michalinos A, Balli E, Mpoura M, Charalabopoulos A, Manatakis DK, Balalis D, Bolger J, Baban C, Mastrosimone A, McAnena O, Quinn A, Ó Súilleabháin CB, Hennessy MM, Ivanovski I, Khizer H, Ravi N, Donlon N, Cervellera M, Vaccari S, Bianchini S, Asti E, Bernardi D, Merigliano S, Provenzano L, Scarpa M, Saadeh L, Salmaso B, De Manzoni G, Giacopuzzi S, La Mendola R, De Pasqual CA, Tsubosa Y, Niihara M, Irino T, Makuuchi R, Ishii K K, Mwachiro M, Fekadu A, Odera A, Mwachiro E, AlShehab D, Ahmed HA, Shebani AO, Elhadi A, Elnagar FA, Elnagar HF, Makkai-Popa ST, Wong LF, Tan YR, Thannimalai S, Ho CA, Pang WS, Tan JH, Basave HNL, Cortés-González R, Lagarde SM, van Lanschot JJB, Cords C, Jansen WA, Martijnse I, Matthijsen R, Bouwense S, Klarenbeek B, Verstegen M, van Workum F, Ruurda JP, van der Sluis PC, de Maat M, Evenett N, Johnston P, Patel R, MacCormick A, Smith B, Ekwunife C, Memon AH, Shaikh K, Wajid A, Khalil N, Haris M, Mirza ZU, Qudus SBA, Sarwar MZ, Shehzadi A, Raza A, Jhanzaib MH, Farmanali J, Zakir Z, Shakeel O, Nasir I, Khattak S, Baig M, Noor MA, Ahmed HH, Naeem A, Pinho AC, da Silva R, Bernardes A, Campos JC, Matos H, Braga T, Monteiro C, Ramos P, Cabral F, Gomes MP, Martins PC, Correia AM, Videira JF, Ciuce C, Drasovean R, Apostu R, Ciuce C, Paitici S, Racu AE, Obleaga CV, Beuran M, Stoica B, Ciubotaru C, Negoita V, Cordos I, Birla RD, Predescu D, Hoara PA, Tomsa R, Shneider V, Agasiev M, Ganjara I, Gunjić D, Veselinović M, Babič T, Chin TS, Shabbir A, Kim G, Crnjac A, Samo H, Díez del Val I, Leturio S, Ramón JM, Dal Cero M, Rifá S, Rico M, Pagan Pomar A, Martinez Corcoles JA, Rodicio Miravalles JL, Pais SA, Turienzo SA, Alvarez LS, Campos PV, Rendo AG, García SS, Santos EPG, Martínez ET, Fernández Díaz MJ, Magadán Álvarez C, Concepción Martín V, Díaz López C, Rosat Rodrigo A, Pérez Sánchez LE, Bailón Cuadrado M, Tinoco Carrasco C, Choolani Bhojwani E, Sánchez DP, Ahmed ME, Dzhendov T, Lindberg F, Rutegård M, Sundbom M, Mickael C, Colucci N, Schnider A, Er S, Kurnaz E, Turkyilmaz S, Turkyilmaz A, Yildirim R, Baki BE, Akkapulu N, Karahan O, Damburaci N, Hardwick R, Safranek P, Sujendran V, Bennett J, Afzal Z, Shrotri M, Chan B, Exarchou K, Gilbert T, Amalesh T, Mukherjee D, Mukherjee S, Wiggins TH, Kennedy R, McCain S, Harris A, Dobson G, Davies N, Wilson I, Mayo D, Bennett D, Young R, Manby P, Blencowe N, Schiller M, Byrne B, Mitton D, Wong V, Elshaer A, Cowen M, Menon V, Tan LC, McLaughlin E, Koshy R, Sharp C, Brewer H, Das N, Cox M, Al Khyatt W, Worku D, Iqbal R, Walls L, McGregor R, Fullarton G, Macdonald A, MacKay C, Craig C, Dwerryhouse S, Hornby S, Jaunoo S, Wadley M, Baker C, Saad M, Kelly M, Davies A, Di Maggio F, McKay S, Mistry P, Singhal R, Tucker O, Kapoulas S, Powell-Brett S, Davis P, Bromley G, Watson L, Verma R, Ward J, Shetty V, Ball C, Pursnani K, Sarela A, Sue Ling H, Mehta S, Hayden J, To N, Palser T, Hunter D, Supramaniam K, Butt Z, Ahmed A, Kumar S, Chaudry A, Moussa O, Kordzadeh A, Lorenzi B, Wilson M, Patil P, Noaman I, Bouras G, Evans R, Singh M, Warrilow H, Ahmad A, Tewari N, Yanni F, Couch J, Theophilidou E, Reilly JJ, Singh P, van Boxel G, Akbari K, Zanotti D, Sanders G, Wheatley T, Ariyarathenam A, Reece-Smith A, Humphreys L, Choh C, Carter N, Knight B, Pucher P, Athanasiou A, Mohamed I, Tan B, Abdulrahman M, Vickers J, Akhtar K, Chaparala R, Brown R, Alasmar MMA, Ackroyd R, Patel K, Tamhankar A, Wyman A, Walker R, Grace B, Abbassi N, Slim N, Ioannidi L, Blackshaw G, Havard T, Escofet X, Powell A, Owera A, Rashid F, Jambulingam P, Padickakudi J, Ben-Younes H, Mccormack K, Makey IA, Karush MK, Seder CW, Liptay MJ, Chmielewski G, Rosato EL, Berger AC, Zheng R, Okolo E, Singh A, Scott CD, Weyant MJ, Mitchell JD. Textbook outcome following oesophagectomy for cancer: international cohort study. Br J Surg 2022; 109:439-449. [PMID: 35194634 DOI: 10.1093/bjs/znac016] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/08/2021] [Accepted: 01/04/2022] [Indexed: 11/14/2022]
Abstract
BACKGROUND Textbook outcome has been proposed as a tool for the assessment of oncological surgical care. However, an international assessment in patients undergoing oesophagectomy for oesophageal cancer has not been reported. This study aimed to assess textbook outcome in an international setting. METHODS Patients undergoing curative resection for oesophageal cancer were identified from the international Oesophagogastric Anastomosis Audit (OGAA) from April 2018 to December 2018. Textbook outcome was defined as the percentage of patients who underwent a complete tumour resection with at least 15 lymph nodes in the resected specimen and an uneventful postoperative course, without hospital readmission. A multivariable binary logistic regression model was used to identify factors independently associated with textbook outcome, and results are presented as odds ratio (OR) and 95 per cent confidence intervals (95 per cent c.i.). RESULTS Of 2159 patients with oesophageal cancer, 39.7 per cent achieved a textbook outcome. The outcome parameter 'no major postoperative complication' had the greatest negative impact on a textbook outcome for patients with oesophageal cancer, compared to other textbook outcome parameters. Multivariable analysis identified male gender and increasing Charlson comorbidity index with a significantly lower likelihood of textbook outcome. Presence of 24-hour on-call rota for oesophageal surgeons (OR 2.05, 95 per cent c.i. 1.30 to 3.22; P = 0.002) and radiology (OR 1.54, 95 per cent c.i. 1.05 to 2.24; P = 0.027), total minimally invasive oesophagectomies (OR 1.63, 95 per cent c.i. 1.27 to 2.08; P < 0.001), and chest anastomosis above azygous (OR 2.17, 95 per cent c.i. 1.58 to 2.98; P < 0.001) were independently associated with a significantly increased likelihood of textbook outcome. CONCLUSION Textbook outcome is achieved in less than 40 per cent of patients having oesophagectomy for cancer. Improvements in centralization, hospital resources, access to minimal access surgery, and adoption of newer techniques for improving lymph node yield could improve textbook outcome.
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Feng TF, Yao DM, Zheng R, Jiang DS, Zhang LL, Xing Q, Li L. [Effect of RBP2 gene silencing on proliferation, migration and invasion of ovarian epithelial cancer SKOV3/DDP cells and its mechanism]. Zhonghua Zhong Liu Za Zhi 2022; 44:139-146. [PMID: 35184457 DOI: 10.3760/cma.j.cn112152-20200612-00555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the effect of down-regulation of retinol binding protein 2 (RBP2) expression on the biological characteristics of ovarian cancer cells and its mechanism. Methods: Knockdown of RBP2 and cisplatin (DDP)-resistant ovarian cancer cell line SKOV3/DDP-RBP2i was established, the negative control group and blank control group were also set. Cell counting kit 8 (CCK-8) was used to detect the cell proliferation ability, flow cytometry was used to detect cell apoptosis, scratch test and Transwell invasion test were used to detect cell migration and invasion ability, real-time fluorescent quantitative polymerase chain reaction (RT-qPCR) and western blot were used to detect the expressions of molecular markers related to epithelial-mesenchymal transition (EMT). The effect of RBP2 on the growth of ovarian cancer was verified through experiment of transplanted tumors in nude mice, and the relationships between RBP2 expression and tumor metastasis and patient prognosis were analyzed using the clinical data of ovarian cancer in TCGA database. Results: After down-regulating the expression of RBP2, the proliferation ability of SKOV3/DDP cell was significantly reduced. On the fifth day, the proliferation activities of SKOV3/DDP-RBP2i group, negative control group and blank control group were (56.67±4.16)%, (84.67±3.51) and (87.00±4.00)% respectively, with statistically significant difference (P<0.001). The apoptosis rate of SKOV3/DDP-RBP2i group was (14.19±1.50)%, higher than (8.77±0.75)% of the negative control group and (7.48±0.52)% of the blank control group (P<0.001). The number of invasive cells of SKOV3/DDP-RBP2i group was (55.20±2.39), lower than (82.60±5.18) and (80.80±7.26) of the negative control group and the blank control group, respectively (P<0.001). The scratch healing rate of SKOV3/DDP-RBP2i group was (28.47±2.72)%, lower than (50.58±4.06)% and (48.92±4.63)% of the negative control group and the blank control group, respectively (P<0.001). The mRNA and protein expressions of E-cadherin in the SKOV3/DDP-RBP2i group were higher than those in the negative control group (P=0.015, P<0.001) and the blank control group (P=0.006, P<0.001). The mRNA and protein expression of N-cadherin in SKOV3/DDP-RBP2i group were lower than those in the negative control group (P=0.012, P<0.001) and the blank control group (P=0.005, P<0.001). The mRNA and protein expressions of vimentin in SKOV3/DDP-RBP2i group were also lower than those in the negative control group (P=0.016, P=0.001) and the blank control group (P=0.011, P=0.001). Five weeks after the cells inoculated into the nude mice, the tumor volume of SKOV3/DDP-RBP2i group, negative control group and blank control group were statistically significant different. The tumor volume of SKOV3/DDP-RBP2i group was smaller than those of negative control group and blank control group (P=0.001). Bioinformatics analysis showed that the expression of RBP2 in patients with metastatic ovarian cancer was higher than that without metastasis (P=0.043), and the median overall survival of ovarian cancer patients with high RBP2 expression was 41 months, shorter than 69 months of low RBP2 expression patients (P<0.001). Conclusion: Downregulation of the expression of RBP2 in SKOV3/DDP cells can inhibit cell migration and invasion, and the mechanism may be related to the inhibition of EMT.
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Affiliation(s)
- T F Feng
- Department of Gynecology, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China
| | - D M Yao
- Department of Gynecology, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China
| | - R Zheng
- Department of Gynecology, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China
| | - D S Jiang
- Department of Traditional Chinese Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China
| | - L L Zhang
- Department of Gynecology, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China
| | - Q Xing
- Department of Gynecology, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, China
| | - L Li
- Key Laboratory of High-incidence Tumor Prevention and Treatment, Ministry of Education, Guangxi Medical University, Nanning 530021, China
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29
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Mei X, Li H, Deng G, Wang X, Zheng X, Huang Y, Chen J, Meng Z, Gao Y, Liu F, Lu X, Shi Y, Zheng Y, Yan H, Zhang W, Qiao L, Gu W, Zhang Y, Xiang X, Zhou Y, Sun S, Hou Y, Zhang Q, Xiong Y, Zou C, Chen J, Huang Z, Li B, Jiang X, Zhong G, Wang H, Chen Y, Luo S, Gao N, Liu C, Li J, Li T, Zheng R, Zhou X, Ren H, Yuan W, Qian Z. Prevalence and clinical significance of serum sodium variability in patients with acute-on-chronic liver diseases: a prospective multicenter study in China. Hepatol Int 2022; 16:183-194. [PMID: 35037228 PMCID: PMC8761510 DOI: 10.1007/s12072-021-10282-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/22/2021] [Indexed: 12/31/2022]
Abstract
Background No reports exist regarding the prevalence of different Na levels and their relationship with 90-day prognosis in hospitalized patients with acute-on-chronic liver disease (AoCLD) in China. Therefore, the benefit of hyponatremia correction in AoCLD patients remains unclear. Methods We prospectively collected the data of 3970 patients with AoCLD from the CATCH-LIFE cohort in China. The prevalence of different Na levels (≤ 120; 120–135; 135–145; > 145) and their relationship with 90-day prognosis were analyzed. For hyponatremic patients, we measured Na levels on days 4 and 7 and compared their characteristics, based on whether hyponatremia was corrected. Results A total of 3880 patients were involved; 712 of those developed adverse outcomes within 90 days. There were 80 (2.06%) hypernatremic, 28 (0.72%) severe hyponatremic, and 813 (20.95%) mild hyponatremic patients at admission. After adjusting for all confounding factors, the risk of 90-day adverse outcomes decreased by 5% (odds ratio [OR] 0.95; 95% confidence interval [CI] 0.93–0.97; p < 0.001), 24% (OR 0.76; 95% CI 0.70–0.84; p < 0.001), and 42% (OR 0.58; 95% CI 0.49–0.70; p < 0.001) as Na level increased by 1, 5, and 10 mmol/L, respectively. Noncorrection of hyponatremia on days 4 and 7 was associated with 2.05-fold (hazard ratio [HR], 2.05; 95% CI, 1.50–2.79; p < 0.001) and 1.46-fold (HR 1.46; 95% CI 1.05–2.02; p = 0.028) higher risk of adverse outcomes. Conclusions Hyponatremia was an independent risk factor for a poor 90-day prognosis in patients with AoCLD. Failure to correct hyponatremia in a week after admission was often associated with increased mortality. (ClinicalTrials.gov number: NCT02457637, NCT03641872). Clinical Trial Numbers This study is registered at Shanghai www.clinicaltrials.org (NCT02457637 and NCT03641872). Supplementary Information The online version contains supplementary material available at 10.1007/s12072-021-10282-8.
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Affiliation(s)
- Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre (Fudan University), 2901 Cao Lang Road, Jinshan District, Shanghai, 201508, China
| | - Hai Li
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China
- National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Yubao Zheng
- Department of Infectious Diseases, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Huadong Yan
- Department of Hepatology, Number 2 Hospital, Ningbo, China
| | - Weituo Zhang
- Clinical Research Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Liang Qiao
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenyi Gu
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Yan Zhang
- Department of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Digestive Disease, Key Laboratory of Gastroenterology and Hepatology, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Shuning Sun
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Congcong Zou
- Department of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guotao Zhong
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Haiyu Wang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuanyuan Chen
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Sen Luo
- Department of Infectious Diseases, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Chunyan Liu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haotang Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Hangzhou, China
- National Clinical Research Center of Infectious Disease, Hangzhou, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre (Fudan University), 2901 Cao Lang Road, Jinshan District, Shanghai, 201508, China.
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre (Fudan University), 2901 Cao Lang Road, Jinshan District, Shanghai, 201508, China.
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30
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Zheng R, Yan MY, Li C, Yin SQ, Chen WD, Gao GY, Yan JM, Chai Y. Pyroelectric effect mediated infrared photoresponse in Bi 2Te 3/Pb(Mg 1/3Nb 2/3)O 3-PbTiO 3 optothermal ferroelectric field-effect transistors. Nanoscale 2021; 13:20657-20662. [PMID: 34878474 DOI: 10.1039/d1nr06863f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The responses of material properties to multi-field stimulation are often exploited to construct new types of multi-functional devices. Here, we demonstrate electrical, optical and thermal modulation of the electronic properties of optothermal ferroelectric field-effect transistors (FeFETs) which are fabricated by growing Bi2Te3 films on (111)-oriented 0.71Pb(Mg1/3Nb2/3)O3-0.29PbTiO 3 (PMN-PT) ferroelectric single-crystal substrates. Using the electric field to switch the polarization direction of PMN-PT, the carrier density and resistance of Bi2Te3 films are in situ, reversibly, and nonvolatilely modulated via the ferroelectric field effect. Moreover, through infrared light illumination on the bottom of PMN-PT substrates, the resistance of Bi2Te3 films in two polarization states could be further modulated, which is ascribed to the decreased polarization intensity at higher temperature due to the pyroelectric effect. Taking advantage of these two effects, the Bi2Te3/PMN-PT optothermal FeFETs exhibit multiple responses to optical and electric field stimulation at room temperature. Our work provides a strategy to design optoelectronic devices with both photodetector and memory functionalities.
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Affiliation(s)
- R Zheng
- School of Physics and Materials Science, Guangzhou University, Guangzhou 510006, China.
| | - M Y Yan
- National Laboratory of Solid State Microstructures, College of Engineering and Applied Science & Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing 210093, China
| | - C Li
- School of Physics and Materials Science, Guangzhou University, Guangzhou 510006, China.
| | - S Q Yin
- School of Physics and Materials Science, Guangzhou University, Guangzhou 510006, China.
| | - W D Chen
- School of Physics and Materials Science, Guangzhou University, Guangzhou 510006, China.
| | - G Y Gao
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - J M Yan
- Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, China.
| | - Y Chai
- Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, China.
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31
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Wang Y, Dong F, Sun S, Wang X, Zheng X, Huang Y, Li B, Gao Y, Qian Z, Liu F, Lu X, Liu J, Ren H, Zheng Y, Yan H, Deng G, Qiao L, Zhang Y, Gu W, Xiang X, Zhou Y, Xu B, Hou Y, Zhang Q, Xiong Y, Zou C, Chen J, Huang Z, Jiang X, Qi T, Luo S, Chen Y, Gao N, Liu C, Yuan W, Mei X, Li J, Li T, Zheng R, Zhou X, Zhang W, Li H, Meng Z. Increased INR Values Predict Accelerating Deterioration and High Short-Term Mortality Among Patients Hospitalized With Cirrhosis or Advanced Fibrosis. Front Med (Lausanne) 2021; 8:762291. [PMID: 34869468 PMCID: PMC8637055 DOI: 10.3389/fmed.2021.762291] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 10/18/2021] [Indexed: 12/12/2022] Open
Abstract
Background and Objective: An increase in the international normalized ratio (INR) is associated with increased mortality in patients with cirrhosis and other chronic liver diseases, while little is known about the quantitative relationship. This study aimed to investigate the quantitative relationship between the INR and short-term prognosis among patients hospitalized with cirrhosis or advanced fibrosis and to evaluate the role of the INR as a risk factor for short-term liver transplant (LT)-free mortality in these patients. Patients and Methods: This study prospectively analyzed multicenter cohorts established by the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study. Cox regression was used to describe the relationship between the INR and independent risk factors for short-term LT-free mortality. Forest plots were used in the subgroup analysis. Generalized additive models (GAMs) and splines were used to illustrate the quantitative curve relationship between the INR and the outcome and inflection point on the curve. Results: A total of 2,567 patients with cirrhosis and 924 patients with advanced fibrosis were included in the study. The 90-day LT-free mortality of patients with cirrhosis and advanced fibrosis was 16.7% (428/2,567) and 7.5% (69/924), respectively. In the multivariable Cox regression analysis, the increase in the INR was independently associated with the risk of 90-day LT-free mortality both in patients with cirrhosis (HR, 1.06; 95% CI, 1.04–1.07, p < 0.001) and in patients with advanced fibrosis (HR, 1.09; 95% CI, 1.06–1.12, p < 0.001). An INR of 1.6/1.7 was found to be the starting point of coagulation dysfunction with a rapid increase in mortality in patients with cirrhosis or in patients with advanced fibrosis, respectively. A 28-day LT-free mortality of 15% was associated with an INR value of 2.1 in both cirrhosis and advanced fibrosis patients. Conclusions: This study was the first to quantitatively describe the relationship between the INR and short-term LT-free mortality in patients with cirrhosis or advanced fibrosis. The starting points of INR indicating the rapid increase in mortality and the unified cutoff value of coagulation failure in cirrhosis and advanced fibrosis, will help clinicians accurately recognize early disease deterioration.
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Affiliation(s)
- Ying Wang
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
| | - Fuchen Dong
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shuning Sun
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Chinese Chronic Liver Failure Consortium, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Chinese Chronic Liver Failure Consortium, China.,Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Chinese Chronic Liver Failure Consortium, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yanhang Gao
- Chinese Chronic Liver Failure Consortium, China.,Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Zhiping Qian
- Chinese Chronic Liver Failure Consortium, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Chinese Chronic Liver Failure Consortium, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Junping Liu
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Henan Provincial People's Hospital, Henan, China
| | - Haotang Ren
- Chinese Chronic Liver Failure Consortium, China.,State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yubao Zheng
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Hwamei Hospital, Ningbo No. 2 Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Guohong Deng
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Liang Qiao
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhang
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wenyi Gu
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomei Xiang
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Zhou
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Baoyan Xu
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Chinese Chronic Liver Failure Consortium, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Chinese Chronic Liver Failure Consortium, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Congcong Zou
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Chinese Chronic Liver Failure Consortium, China.,Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Chinese Chronic Liver Failure Consortium, China.,Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Xiuhua Jiang
- Chinese Chronic Liver Failure Consortium, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Tingting Qi
- Chinese Chronic Liver Failure Consortium, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
| | - Na Gao
- Chinese Chronic Liver Failure Consortium, China.,Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Chunyan Liu
- Chinese Chronic Liver Failure Consortium, China.,Department of Hepatology, The First Hospital of Jilin University, Jilin, China
| | - Wei Yuan
- Chinese Chronic Liver Failure Consortium, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Chinese Chronic Liver Failure Consortium, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Chinese Chronic Liver Failure Consortium, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Chinese Chronic Liver Failure Consortium, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Chinese Chronic Liver Failure Consortium, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Weituo Zhang
- Chinese Chronic Liver Failure Consortium, China.,Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Li
- Chinese Chronic Liver Failure Consortium, China.,Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Zhongji Meng
- Department of Infectious Disease, Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China.,Chinese Chronic Liver Failure Consortium, China
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Evans RPT, Kamarajah SK, Bundred J, Nepogodiev D, Hodson J, van Hillegersberg R, Gossage J, Vohra R, Griffiths EA, Singh P, Evans RPT, Hodson J, Kamarajah SK, Griffiths EA, Singh P, Alderson D, Bundred J, Evans RPT, Gossage J, Griffiths EA, Jefferies B, Kamarajah SK, McKay S, Mohamed I, Nepogodiev D, Siaw- Acheampong K, Singh P, van Hillegersberg R, Vohra R, Wanigasooriya K, Whitehouse T, Gjata A, Moreno JI, Takeda FR, Kidane B, Guevara Castro R, Harustiak T, Bekele A, Kechagias A, Gockel I, Kennedy A, Da Roit A, Bagajevas A, Azagra JS, Mahendran HA, Mejía-Fernández L, Wijnhoven BPL, El Kafsi J, Sayyed RH, Sousa M, Sampaio AS, Negoi I, Blanco R, Wallner B, Schneider PM, Hsu PK, Isik A, Gananadha S, Wills V, Devadas M, Duong C, Talbot M, Hii MW, Jacobs R, Andreollo NA, Johnston B, Darling G, Isaza-Restrepo A, Rosero G, Arias-Amézquita F, Raptis D, Gaedcke J, Reim D, Izbicki J, Egberts JH, Dikinis S, Kjaer DW, Larsen MH, Achiam MP, Saarnio J, Theodorou D, Liakakos T, Korkolis DP, Robb WB, Collins C, Murphy T, Reynolds J, Tonini V, Migliore M, Bonavina L, Valmasoni M, Bardini R, Weindelmayer J, Terashima M, White RE, Alghunaim E, Elhadi M, Leon-Takahashi AM, Medina-Franco H, Lau PC, Okonta KE, Heisterkamp J, Rosman C, van Hillegersberg R, Beban G, Babor R, Gordon A, Rossaak JI, Pal KMI, Qureshi AU, Naqi SA, Syed AA, Barbosa J, Vicente CS, Leite J, Freire J, Casaca R, Costa RCT, Scurtu RR, Mogoanta SS, Bolca C, Constantinoiu S, Sekhniaidze D, Bjelović M, So JBY, Gačevski G, Loureiro C, Pera M, Bianchi A, Moreno Gijón M, Martín Fernández J, Trugeda Carrera MS, Vallve-Bernal M, Cítores Pascual MA, Elmahi S, Hedberg J, Mönig S, Gutknecht S, Tez M, Guner A, Tirnaksiz TB, Colak E, Sevinç B, Hindmarsh A, Khan I, Khoo D, Byrom R, Gokhale J, Wilkerson P, Jain P, Chan D, Robertson K, Iftikhar S, Skipworth R, Forshaw M, Higgs S, Gossage J, Nijjar R, Viswanath YKS, Turner P, Dexter S, Boddy A, Allum WH, Oglesby S, Cheong E, Beardsmore D, Vohra R, Maynard N, Berrisford R, Mercer S, Puig S, Melhado R, Kelty C, Underwood T, Dawas K, Lewis W, Al-Bahrani A, Bryce G, Thomas M, Arndt AT, Palazzo F, Meguid RA, Fergusson J, Beenen E, Mosse C, Salim J, Cheah S, Wright T, Cerdeira MP, McQuillan P, Richardson M, Liem H, Spillane J, Yacob M, Albadawi F, Thorpe T, Dingle A, Cabalag C, Loi K, Fisher OM, Ward S, Read M, Johnson M, Bassari R, Bui H, Cecconello I, Sallum RAA, da Rocha JRM, Lopes LR, Tercioti V, Coelho JDS, Ferrer JAP, Buduhan G, Tan L, Srinathan S, Shea P, Yeung J, Allison F, Carroll P, Vargas-Barato F, Gonzalez F, Ortega J, Nino-Torres L, Beltrán-García TC, Castilla L, Pineda M, Bastidas A, Gómez-Mayorga J, Cortés N, Cetares C, Caceres S, Duarte S, Pazdro A, Snajdauf M, Faltova H, Sevcikova M, Mortensen PB, Katballe N, Ingemann T, Morten B, Kruhlikava I, Ainswort AP, Stilling NM, Eckardt J, Holm J, Thorsteinsson M, Siemsen M, Brandt B, Nega B, Teferra E, Tizazu A, Kauppila JS, Koivukangas V, Meriläinen S, Gruetzmann R, Krautz C, Weber G, Golcher H, Emons G, Azizian A, Ebeling M, Niebisch S, Kreuser N, Albanese G, Hesse J, Volovnik L, Boecher U, Reeh M, Triantafyllou S, Schizas D, Michalinos A, Baili E, Mpoura M, Charalabopoulos A, Manatakis DK, Balalis D, Bolger J, Baban C, Mastrosimone A, McAnena O, Quinn A, Súilleabháin CBÓ, Hennessy MM, Ivanovski I, Khizer H, Ravi N, Donlon N, Cervellera M, Vaccari S, Bianchini S, Sartarelli L, Asti E, Bernardi D, Merigliano S, Provenzano L, Scarpa M, Saadeh L, Salmaso B, De Manzoni G, Giacopuzzi S, La Mendola R, De Pasqual CA, Tsubosa Y, Niihara M, Irino T, Makuuchi R, Ishii K, Mwachiro M, Fekadu A, Odera A, Mwachiro E, AlShehab D, Ahmed HA, Shebani AO, Elhadi A, Elnagar FA, Elnagar HF, Makkai-Popa ST, Wong LF, Yunrong T, Thanninalai S, Aik HC, Soon PW, Huei TJ, Basave HNL, Cortés-González R, Lagarde SM, van Lanschot JJB, Cords C, Jansen WA, Martijnse I, Matthijsen R, Bouwense S, Klarenbeek B, Verstegen M, van Workum F, Ruurda JP, van der Veen A, van den Berg JW, Evenett N, Johnston P, Patel R, MacCormick A, Young M, Smith B, Ekwunife C, Memon AH, Shaikh K, Wajid A, Khalil N, Haris M, Mirza ZU, Qudus SBA, Sarwar MZ, Shehzadi A, Raza A, Jhanzaib MH, Farmanali J, Zakir Z, Shakeel O, Nasir I, Khattak S, Baig M, Noor MA, Ahmed HH, Naeem A, Pinho AC, da Silva R, Matos H, Braga T, Monteiro C, Ramos P, Cabral F, Gomes MP, Martins PC, Correia AM, Videira JF, Ciuce C, Drasovean R, Apostu R, Ciuce C, Paitici S, Racu AE, Obleaga CV, Beuran M, Stoica B, Ciubotaru C, Negoita V, Cordos I, Birla RD, Predescu D, Hoara PA, Tomsa R, Shneider V, Agasiev M, Ganjara I, Gunjić D, Veselinović M, Babič T, Chin TS, Shabbir A, Kim G, Crnjac A, Samo H, Díez del Val I, Leturio S, Díez del Val I, Leturio S, Ramón JM, Dal Cero M, Rifá S, Rico M, Pagan Pomar A, Martinez Corcoles JA, Rodicio Miravalles JL, Pais SA, Turienzo SA, Alvarez LS, Campos PV, Rendo AG, García SS, Santos EPG, Martínez ET, Fernández Díaz MJ, Magadán Álvarez C, Concepción Martín V, Díaz López C, Rosat Rodrigo A, Pérez Sánchez LE, Bailón Cuadrado M, Tinoco Carrasco C, Choolani Bhojwani E, Sánchez DP, Ahmed ME, Dzhendov T, Lindberg F, Rutegård M, Sundbom M, Mickael C, Colucci N, Schnider A, Er S, Kurnaz E, Turkyilmaz S, Turkyilmaz A, Yildirim R, Baki BE, Akkapulu N, Karahan O, Damburaci N, Hardwick R, Safranek P, Sujendran V, Bennett J, Afzal Z, Shrotri M, Chan B, Exarchou K, Gilbert T, Amalesh T, Mukherjee D, Mukherjee S, Wiggins TH, Kennedy R, McCain S, Harris A, Dobson G, Davies N, Wilson I, Mayo D, Bennett D, Young R, Manby P, Blencowe N, Schiller M, Byrne B, Mitton D, Wong V, Elshaer A, Cowen M, Menon V, Tan LC, McLaughlin E, Koshy R, Sharp C, Brewer H, Das N, Cox M, Al Khyatt W, Worku D, Iqbal R, Walls L, McGregor R, Fullarton G, Macdonald A, MacKay C, Craig C, Dwerryhouse S, Hornby S, Jaunoo S, Wadley M, Baker C, Saad M, Kelly M, Davies A, Di Maggio F, McKay S, Mistry P, Singhal R, Tucker O, Kapoulas S, Powell-Brett S, Davis P, Bromley G, Watson L, Verma R, Ward J, Shetty V, Ball C, Pursnani K, Sarela A, Sue Ling H, Mehta S, Hayden J, To N, Palser T, Hunter D, Supramaniam K, Butt Z, Ahmed A, Kumar S, Chaudry A, Moussa O, Kordzadeh A, Lorenzi B, Wilson M, Patil P, Noaman I, Willem J, Bouras G, Evans R, Singh M, Warrilow H, Ahmad A, Tewari N, Yanni F, Couch J, Theophilidou E, Reilly JJ, Singh P, van Boxel G, Akbari K, Zanotti D, Sgromo B, Sanders G, Wheatley T, Ariyarathenam A, Reece-Smith A, Humphreys L, Choh C, Carter N, Knight B, Pucher P, Athanasiou A, Mohamed I, Tan B, Abdulrahman M, Vickers J, Akhtar K, Chaparala R, Brown R, Alasmar MMA, Ackroyd R, Patel K, Tamhankar A, Wyman A, Walker R, Grace B, Abbassi N, Slim N, Ioannidi L, Blackshaw G, Havard T, Escofet X, Powell A, Owera A, Rashid F, Jambulingam P, Padickakudi J, Ben-Younes H, McCormack K, Makey IA, Karush MK, Seder CW, Liptay MJ, Chmielewski G, Rosato EL, Berger AC, Zheng R, Okolo E, Singh A, Scott CD, Weyant MJ, Mitchell JD. Postoperative outcomes in oesophagectomy with trainee involvement. BJS Open 2021; 5:zrab132. [PMID: 35038327 PMCID: PMC8763367 DOI: 10.1093/bjsopen/zrab132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/15/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The complexity of oesophageal surgery and the significant risk of morbidity necessitates that oesophagectomy is predominantly performed by a consultant surgeon, or a senior trainee under their supervision. The aim of this study was to determine the impact of trainee involvement in oesophagectomy on postoperative outcomes in an international multicentre setting. METHODS Data from the multicentre Oesophago-Gastric Anastomosis Study Group (OGAA) cohort study were analysed, which comprised prospectively collected data from patients undergoing oesophagectomy for oesophageal cancer between April 2018 and December 2018. Procedures were grouped by the level of trainee involvement, and univariable and multivariable analyses were performed to compare patient outcomes across groups. RESULTS Of 2232 oesophagectomies from 137 centres in 41 countries, trainees were involved in 29.1 per cent of them (n = 650), performing only the abdominal phase in 230, only the chest and/or neck phases in 130, and all phases in 315 procedures. For procedures with a chest anastomosis, those with trainee involvement had similar 90-day mortality, complication and reoperation rates to consultant-performed oesophagectomies (P = 0.451, P = 0.318, and P = 0.382, respectively), while anastomotic leak rates were significantly lower in the trainee groups (P = 0.030). Procedures with a neck anastomosis had equivalent complication, anastomotic leak, and reoperation rates (P = 0.150, P = 0.430, and P = 0.632, respectively) in trainee-involved versus consultant-performed oesophagectomies, with significantly lower 90-day mortality in the trainee groups (P = 0.005). CONCLUSION Trainee involvement was not found to be associated with significantly inferior postoperative outcomes for selected patients undergoing oesophagectomy. The results support continued supervised trainee involvement in oesophageal cancer surgery.
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Zhang YQ, Dou XF, Zheng R, Sun XM, Li XT, Wang QY, He X, Sun XG. [Epidemiological characteristics of close contacts of COVID-19 cases and infection-related risk factors in Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1757-1762. [PMID: 34814608 DOI: 10.3760/cma.j.cn112338-20210419-00324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To analyze the epidemiological characteristics of close contacts of COVID-19 cases and infection-related risk factors in Beijing and provide evidences for COVID-19 prevention and control. Methods: A total of 20 681 close contacts of COVID-19 cases, who had exposures during January 6, 2020 to February 15, 2021, were traced in Beijing. The information about their demographic characteristics, exposure history, and quarantine outcomes were collected and analyzed with descriptive statistics. The logistic regression analysis was used to identify the risk factors for COVID-19. Results: The infection rate SARS-CoV-2 in close contacts was 2.16% (447/20 681). The age M(P25, P75) was 35 (27, 49) years. The majority of the close contacts were aged 20-59 years, accounting for 81.77% (16 912/20 681). Centralized isolation was the major type of medical observation, accounting for 82.15% (16 989/20 681). Among the exposure types, working and studying in the same room (16.06%, 3 322/20 681), sharing same transport vehicle (12.88%, 2 664/20 681), performing diagnosis and treatment nursing (7.80%,1 612/20 681), and living together (7.23%,1 495/20 681), accounting for 43.96% (9 093/20 681). The index cases included staff (19.34%, 3 999/20 681), the unemployed (17.34%, 3 586/20 681), people engaged in business service (13.85%, 2 864/20 681), people engaged in food service (10.77%, 2 228/20 681), their close contacts accounted for 61.30% (12 677/20 681). Multivariate logistic regression analysis showed that compared with other types of exposure, the risk factors for infection were having meal together (OR=3.96, 95%CI: 2.30-6.83) and living together (OR=6.41, 95%CI:4.48-9.17); Compared with the other occupations, the index case being engaged in food service (OR=3.06, 95%CI:1.29-7.25) and teacher (OR=4.94, 95%CI:1.43-17.08) were risk factors for the infection. Conclusions: The main environmental exposure types of SARS-CoV-2 infection in close contacts were having meal together and living together. Contact with the index case being engaged in food service and teacher increased the risk for COVID-19. Comprehensive prevention and control measures such as centralized isolation and vaccination should be continued.
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Affiliation(s)
- Y Q Zhang
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X F Dou
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - R Zheng
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X M Sun
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X T Li
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Q Y Wang
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X He
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X G Sun
- Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
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Zheng R, Guo D, Dong Y, Wang M, Hu M, Ren Y. Prognostic Factors and Prediction of Survival for Patients with Brain Metastases of Lung Adenocarcinoma. J NIPPON MED SCH 2021; 88:319-325. [PMID: 33455976 DOI: 10.1272/jnms.jnms.2021_88-410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND The study aimed to identify risk factors associated with overall survival (OS) of patients with lung adenocarcinoma (LACA) with brain metastasis and developed a prognostic tool (nomogram) for these patients. METHODS LACA patients with brain metastases between 2010 and 2013 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Kaplan-Meier analysis and a Cox regression model were used to assess the prognostic effect of variables on survival rate. A nomogram was developed to predict 3-, 6- and 9-month OS rates. RESULTS 2,631 LACA patients with brain metastases were studied. A nomogram was developed by using variables that affected OS and was validated by internal bootstrap resampling, which revealed that the nomogram had satisfactory discrimination. CONCLUSIONS The nomogram was able to predict 3-, 6- and 9-month OS for patients with LACA and brain metastases.
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Affiliation(s)
| | - Dina Guo
- Department of Pulmonology, Ningbo Yinzhou No 2. Hospital
| | - Yongquan Dong
- Department of Pulmonology, Ningbo Yinzhou No 2. Hospital
| | - Mingming Wang
- Department of Pulmonology, Ningbo Yinzhou No 2. Hospital
| | - Meiling Hu
- Cixi People's Hospital of Zhejiang Province
| | - Yifeng Ren
- Department of Pulmonology, Ningbo Yinzhou No 2. Hospital
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Long L, Li H, Deng G, Wang X, Lu S, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Ren H, Shang J, Li H, Wang S, Zheng Y, Yan H, Yin S, Tan W, Zhang Q, Zheng X, Chen J, Luo S, Zhao J, Yuan W, Li T, Zheng R, Liu J, Liu X, Gu W, Li S, Mei X, Chen R, Huang Y. Impact of Hepatic Encephalopathy on Clinical Characteristics and Adverse Outcomes in Prospective and Multicenter Cohorts of Patients With Acute-on-Chronic Liver Diseases. Front Med (Lausanne) 2021; 8:709884. [PMID: 34409052 PMCID: PMC8365160 DOI: 10.3389/fmed.2021.709884] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 07/07/2021] [Indexed: 12/18/2022] Open
Abstract
Importance: Hepatic encephalopathy is a severe complication, and its contribution to clinical adverse outcomes in patients with acute-on-chronic liver diseases from the East is unclear. Objective: We aimed to investigate the impact of hepatic encephalopathy on clinical characteristics and adverse outcomes in prospective and multicenter cohorts of patients with acute-on-chronic liver diseases. Design: We conducted a cohort study of two multicenter prospective cohorts. Setting: China. Participants: Acute-on-chronic liver disease patients with various etiologies. Exposure: The diagnosis and severity of hepatic encephalopathy were assessed using the West Haven scale. Main Outcome Measure: The correlation between clinical adverse outcomes and varying hepatic encephalopathy grades was analyzed in the target patients. Results: A total of 3,949 patients were included, and 340 of them had hepatic encephalopathy. The incidence of hepatic encephalopathy was higher in patients with alcohol consumption (9.90%) than in those with hepatitis B virus infection (6.17%). The incidence of 28- and 90-day adverse outcomes increased progressively from hepatic encephalopathy grades 1–4. Logistic regression analysis revealed that hepatic encephalopathy grades 3 and 4 were independent risk factors for the 28- and 90-day adverse outcome in the fully adjusted model IV. Stratified analyses showed similar results in the different subgroups. Compared to grades 1–2 and patients without hepatic encephalopathy, those with grade 3 hepatic encephalopathy had a significant increase in clinical adverse outcomes, independent of other organ failures. Conclusions and Relevance: Hepatic encephalopathy grades 3–4 were independent risk factors for 28- and 90-day adverse outcomes. Hepatic encephalopathy grade 3 could be used as an indicator of brain failure in patients with acute-on-chronic liver disease.
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Affiliation(s)
- Liyuan Long
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Hai Li
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China.,Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China
| | - Guohong Deng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xianbo Wang
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Sihong Lu
- Department of Infectious Diseases, Institute of Infection and Immunology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Hepatology, Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Haotang Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Hai Li
- Department of Infectious Diseases, Affiliated Hospital of Logistics University of People's Armed Police Force, Tianjin, China
| | - Shaoyang Wang
- Department of Infectious Diseases, Fuzhou General Hospital of Nanjing Military Command, Fuzhou, China
| | - Yubao Zheng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huadong Yan
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Hepatology, Ningbo No. 2 Hospital, Ningbo, China
| | - Shan Yin
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Department of Infectious Diseases, Institute of Infection and Immunology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jinjun Chen
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China.,Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Jinming Zhao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiaoxiao Liu
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Wenyi Gu
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health (Shanghai Jiao Tong University), Shanghai, China
| | - Sumeng Li
- Department of Infectious Diseases, Institute of Infection and Immunology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Ruochan Chen
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Huang
- Department of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, China.,Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China
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Qiao L, Tan W, Wang X, Zheng X, Huang Y, Li B, Meng Z, Gao Y, Qian Z, Liu F, Lu X, Shang J, Liu J, Yan H, Gu W, Zhang Y, Xiang X, Hou Y, Zhang Q, Xiong Y, Zou C, Chen J, Huang Z, Jiang X, Luo S, Chen Y, Gao N, Liu C, Yuan W, Mei X, Li J, Li T, Zheng R, Zhou X, Chen J, Deng G, Zhang W, Li H. Different Effects of Total Bilirubin on 90-Day Mortality in Hospitalized Patients With Cirrhosis and Advanced Fibrosis: A Quantitative Analysis. Front Med (Lausanne) 2021; 8:704452. [PMID: 34249983 PMCID: PMC8260970 DOI: 10.3389/fmed.2021.704452] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 12/22/2022] Open
Abstract
Introduction: Total bilirubin (TB) is a major prognosis predictor representing liver failure in patients with acute on chronic liver failure (ACLF). However, the cutoff value of TB for liver failure and whether the same cutoff could be applied in both cirrhotic and non-cirrhotic patients remain controversial. There is a need to obtain the quantitative correlation between TB and short-term mortality via evidence-based methods, which is critical in establishing solid ACLF diagnostic criteria. Methods: Patients hospitalized with cirrhosis or advanced fibrosis (FIB-4 > 1.45) were studied. TB and other variables were measured at baseline. The primary outcome was 90-day transplantation-free mortality. Multi-variable Cox proportional hazard model was used to present the independent risk of mortality due to TB. Generalized additive model and second derivate (acceleration) were used to plot the “TB-mortality correlation curves.” The mathematical (maximum acceleration) and clinical (adjusted 28-day transplantation-free mortality rate reaching 15%) TB cutoffs for liver failure were both calculated. Results: Among the 3,532 included patients, the number of patients with cirrhosis and advanced fibrosis were 2,592 and 940, respectively, of which cumulative 90-day mortality were 16.6% (430/2592) and 7.4% (70/940), respectively. Any increase of TB was found the independent risk factor of mortality in cirrhotic patients, while only TB >12 mg/dL independently increased the risk of mortality in patients with advanced fibrosis. In cirrhotic patients, the mathematical TB cutoff for liver failure is 14.2 mg/dL, with 23.3% (605/2592) patients exceeding it, corresponding to 13.3 and 25.0% adjusted 28- and 90-day mortality rate, respectively. The clinical TB cutoff for is 18.1 mg/dL, with 18.2% (471/2592) patients exceeding it. In patients with advanced fibrosis, the mathematical TB cutoff is 12.1 mg/dL, 33.1% (311/940) patients exceeding it, corresponding to 2.9 and 8.0% adjusted 28- and 90-day mortality rate, respectively; the clinical TB cutoff was 36.0 mg/dL, 1.3% (12/940) patients above it. Conclusion: This study clearly demonstrated the significantly different impact of TB on 90-day mortality in patients with cirrhosis and advanced fibrosis, proving that liver failure can be determined by TB alone in cirrhosis but not in advanced fibrosis. The proposed TB cutoffs for liver failure provides solid support for the establishment of ACLF diagnostic criteria.
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Affiliation(s)
- Liang Qiao
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Wenting Tan
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaobo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Huang
- Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Beiling Li
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongji Meng
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yanhang Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Zhiping Qian
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Feng Liu
- Tianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China.,Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Xiaobo Lu
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jia Shang
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Junping Liu
- Department of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Huadong Yan
- Department of Infectious Diseases, Hwamei Hospital, Ningbo No. 2 Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Wenyi Gu
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhang
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomei Xiang
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yixin Hou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Qun Zhang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yan Xiong
- Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Congcong Zou
- Department of Infectious Diseases, Tongji Medical College, Institute of Infection and Immunology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Chen
- Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Zebing Huang
- Hunan Key Laboratory of Viral Hepatitis, Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, China
| | - Xiuhua Jiang
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sen Luo
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yuanyuan Chen
- Department of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Na Gao
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Chunyan Liu
- Department of Hepatology, The First Hospital of Jilin University, Changchun, China
| | - Wei Yuan
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Xue Mei
- Department of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China
| | - Jing Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Jinan, China
| | - Rongjiong Zheng
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xinyi Zhou
- Infectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jinjun Chen
- Hepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Guohong Deng
- Department of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Weituo Zhang
- Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai Li
- Department of Gastroenterology, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Chinese Ministry of Health, Shanghai Jiao Tong University, Shanghai, China
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Kamarajah S, Nepogodiev D, Bekele A, Cecconello I, Evans R, Guner A, Gossage J, Harustiak T, Hodson J, Isik A, Kidane B, Leon-Takahashi A, Mahendran H, Negoi I, Okonta K, Rosero G, Sayyed R, Singh P, Takeda F, van Hillegersberg R, Vohra R, White R, Griffiths E, Alderson D, Bundred J, Evans R, Gossage J, Griffiths E, Jefferies B, Kamarajah S, McKay S, Mohamed I, Nepogodiev D, Siaw- Acheampong K, Singh P, van Hillegersberg R, Vohra R, Wanigasooriya K, Whitehouse T, Gjata A, Moreno J, Takeda F, Kidane B, Guevara CR, Harustiak T, Bekele A, Kechagias A, Gockel I, Kennedy A, Da Roit A, Bagajevas A, Azagra J, Mahendran H, Mejía-Fernández L, Wijnhoven B, El Kafsi J, Sayyed R, Sousa M, Sampaio A, Negoi I, Blanco R, Wallner B, Schneider P, Hsu P, Isik A, Gananadha S, Wills V, Devadas M, Duong C, Talbot M, Hii M, Jacobs R, Andreollo N, Johnston B, Darling G, Isaza-Restrepo A, Rosero G, Arias- Amézquita F, Raptis D, Gaedcke J, Reim D, Izbicki J, Egberts J, Dikinis S, Kjaer D, Larsen M, Achiam M, Saarnio J, Theodorou D, Liakakos T, Korkolis D, Robb W, Collins C, Murphy T, Reynolds J, Tonini V, Migliore M, Bonavina L, Valmasoni M, Bardini R, Weindelmayer J, Terashima M, White R, Alghunaim E, Elhadi M, Leon-Takahashi A, Medina-Franco H, Lau P, Okonta K, Heisterkamp J, Rosman C, van Hillegersberg R, Beban G, Babor R, Gordon A, Rossaak J, Pal K, Qureshi A, Naqi S, Syed A, Barbosa J, Vicente C, Leite J, Freire J, Casaca R, Costa R, Scurtu R, Mogoanta S, Bolca C, Constantinoiu S, Sekhniaidze D, Bjelović M, So J, Gačevski G, Loureiro C, Pera M, Bianchi A, Moreno GM, Martín Fernández J, Trugeda Carrera M, Vallve-Bernal M, Cítores Pascual M, Elmahi S, Halldestam I, Hedberg J, Mönig S, Gutknecht S, Tez M, Guner A, Tirnaksiz M, Colak E, Sevinç B, Hindmarsh A, Khan I, Khoo D, Byrom R, Gokhale J, Wilkerson P, Jain P, Chan D, Robertson K, Iftikhar S, Skipworth R, Forshaw M, Higgs S, Gossage J, Nijjar R, Viswanath Y, Turner P, Dexter S, Boddy A, Allum W, Oglesby S, Cheong E, Beardsmore D, Vohra R, Maynard N, Berrisford R, Mercer S, Puig S, Melhado R, Kelty C, Underwood T, Dawas K, Lewis W, Al-Bahrani A, Bryce G, Thomas M, Arndt A, Palazzo F, Meguid R, Fergusson J, Beenen E, Mosse C, Salim J, Cheah S, Wright T, Cerdeira M, McQuillan P, Richardson M, Liem H, Spillane J, Yacob M, Albadawi F, Thorpe T, Dingle A, Cabalag C, Loi K, Fisher O, Ward S, Read M, Johnson M, Bassari R, Bui H, Cecconello I, Sallum R, da Rocha J, Lopes L, Tercioti V, Coelho J, Ferrer J, Buduhan G, Tan L, Srinathan S, Shea P, Yeung J, Allison F, Carroll P, Vargas-Barato F, Gonzalez F, Ortega J, Nino-Torres L, Beltrán-García T, Castilla L, Pineda M, Bastidas A, Gómez-Mayorga J, Cortés N, Cetares C, Caceres S, Duarte S, Pazdro A, Snajdauf M, Faltova H, Sevcikova M, Mortensen P, Katballe N, Ingemann T, Morten B, Kruhlikava I, Ainswort A, Stilling N, Eckardt J, Holm J, Thorsteinsson M, Siemsen M, Brandt B, Nega B, Teferra E, Tizazu A, Kauppila J, Koivukangas V, Meriläinen S, Gruetzmann R, Krautz C, Weber G, Golcher H, Emons G, Azizian A, Ebeling M, Niebisch S, Kreuser N, Albanese G, Hesse J, Volovnik L, Boecher U, Reeh M, Triantafyllou S, Schizas D, Michalinos A, Mpali E, Mpoura M, Charalabopoulos A, Manatakis D, Balalis D, Bolger J, Baban C, Mastrosimone A, McAnena O, Quinn A, Ó Súilleabháin C, Hennessy M, Ivanovski I, Khizer H, Ravi N, Donlon N, Cervellera M, Vaccari S, Bianchini S, Sartarelli L, Asti E, Bernardi D, Merigliano S, Provenzano L, Scarpa M, Saadeh L, Salmaso B, De Manzoni G, Giacopuzzi S, La Mendola R, De Pasqual C, Tsubosa Y, Niihara M, Irino T, Makuuchi R, Ishii K, Mwachiro M, Fekadu A, Odera A, Mwachiro E, AlShehab D, Ahmed H, Shebani A, Elhadi A, Elnagar F, Elnagar H, Makkai-Popa S, Wong L, Tan Y, Thannimalai S, Ho C, Pang W, Tan J, Basave H, Cortés-González R, Lagarde S, van Lanschot J, Cords C, Jansen W, Martijnse I, Matthijsen R, Bouwense S, Klarenbeek B, Verstegen M, van Workum F, Ruurda J, van der Sluis P, de Maat M, Evenett N, Johnston P, Patel R, MacCormick A, Young M, Smith B, Ekwunife C, Memon A, Shaikh K, Wajid A, Khalil N, Haris M, Mirza Z, Qudus S, Sarwar M, Shehzadi A, Raza A, Jhanzaib M, Farmanali J, Zakir Z, Shakeel O, Nasir I, Khattak S, Baig M, Noor M, Ahmed H, Naeem A, Pinho A, da Silva R, Bernardes A, Campos J, Matos H, Braga T, Monteiro C, Ramos P, Cabral F, Gomes M, Martins P, Correia A, Videira J, Ciuce C, Drasovean R, Apostu R, Ciuce C, Paitici S, Racu A, Obleaga C, Beuran M, Stoica B, Ciubotaru C, Negoita V, Cordos I, Birla R, Predescu D, Hoara P, Tomsa R, Shneider V, Agasiev M, Ganjara I, Gunjić D, Veselinović M, Babič T, Chin T, Shabbir A, Kim G, Crnjac A, Samo H, Díez del Val I, Leturio S, Ramón J, Dal Cero M, Rifá S, Rico M, Pagan Pomar A, Martinez Corcoles J, Rodicio Miravalles J, Pais S, Turienzo S, Alvarez L, Campos P, Rendo A, García S, Santos E, Martínez E, Fernández DMJ, Magadán ÁC, Concepción MV, Díaz LC, Rosat RA, Pérez SLE, Bailón CM, Tinoco CC, Choolani Bhojwani E, Sánchez D, Ahmed M, Dzhendov T, Lindberg F, Rutegård M, Sundbom M, Mickael C, Colucci N, Schnider A, Er S, Kurnaz E, Turkyilmaz S, Turkyilmaz A, Yildirim R, Baki B, Akkapulu N, Karahan O, Damburaci N, Hardwick R, Safranek P, Sujendran V, Bennett J, Afzal Z, Shrotri M, Chan B, Exarchou K, Gilbert T, Amalesh T, Mukherjee D, Mukherjee S, Wiggins T, Kennedy R, McCain S, Harris A, Dobson G, Davies N, Wilson I, Mayo D, Bennett D, Young R, Manby P, Blencowe N, Schiller M, Byrne B, Mitton D, Wong V, Elshaer A, Cowen M, Menon V, Tan L, McLaughlin E, Koshy R, Sharp C, Brewer H, Das N, Cox M, Al Khyatt W, Worku D, Iqbal R, Walls L, McGregor R, Fullarton G, Macdonald A, MacKay C, Craig C, Dwerryhouse S, Hornby S, Jaunoo S, Wadley M, Baker C, Saad M, Kelly M, Davies A, Di Maggio F, McKay S, Mistry P, Singhal R, Tucker O, Kapoulas S, Powell-Brett S, Davis P, Bromley G, Watson L, Verma R, Ward J, Shetty V, Ball C, Pursnani K, Sarela A, Sue LH, Mehta S, Hayden J, To N, Palser T, Hunter D, Supramaniam K, Butt Z, Ahmed A, Kumar S, Chaudry A, Moussa O, Kordzadeh A, Lorenzi B, Wilson M, Patil P, Noaman I, Willem J, Bouras G, Evans R, Singh M, Warrilow H, Ahmad A, Tewari N, Yanni F, Couch J, Theophilidou E, Reilly J, Singh P, van Boxel G, Akbari K, Zanotti D, Sgromo B, Sanders G, Wheatley T, Ariyarathenam A, Reece-Smith A, Humphreys L, Choh C, Carter N, Knight B, Pucher P, Athanasiou A, Mohamed I, Tan B, Abdulrahman M, Vickers J, Akhtar K, Chaparala R, Brown R, Alasmar M, Ackroyd R, Patel K, Tamhankar A, Wyman A, Walker R, Grace B, Abbassi N, Slim N, Ioannidi L, Blackshaw G, Havard T, Escofet X, Powell A, Owera A, Rashid F, Jambulingam P, Padickakudi J, Ben-Younes H, Mccormack K, Makey I, Karush M, Seder C, Liptay M, Chmielewski G, Rosato E, Berger A, Zheng R, Okolo E, Singh A, Scott C, Weyant M, Mitchell J. Mortality from esophagectomy for esophageal cancer across low, middle, and high-income countries: An international cohort study. Eur J Surg Oncol 2021; 47:1481-1488. [PMID: 33451919 DOI: 10.1016/j.ejso.2020.12.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 12/09/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND No evidence currently exists characterising global outcomes following major cancer surgery, including esophageal cancer. Therefore, this study aimed to characterise impact of high income countries (HIC) versus low and middle income countries (LMIC) on the outcomes following esophagectomy for esophageal cancer. METHOD This international multi-center prospective study across 137 hospitals in 41 countries included patients who underwent an esophagectomy for esophageal cancer, with 90-day follow-up. The main explanatory variable was country income, defined according to the World Bank Data classification. The primary outcome was 90-day postoperative mortality, and secondary outcomes were composite leaks (anastomotic leak or conduit necrosis) and major complications (Clavien-Dindo Grade III - V). Multivariable generalized estimating equation models were used to produce adjusted odds ratios (ORs) and 95% confidence intervals (CI95%). RESULTS Between April 2018 to December 2018, 2247 patients were included. Patients from HIC were more significantly older, with higher ASA grade, and more advanced tumors. Patients from LMIC had almost three-fold increase in 90-day mortality, compared to HIC (9.4% vs 3.7%, p < 0.001). On adjusted analysis, LMIC were independently associated with higher 90-day mortality (OR: 2.31, CI95%: 1.17-4.55, p = 0.015). However, LMIC were not independently associated with higher rates of anastomotic leaks (OR: 1.06, CI95%: 0.57-1.99, p = 0.9) or major complications (OR: 0.85, CI95%: 0.54-1.32, p = 0.5), compared to HIC. CONCLUSION Resections in LMIC were independently associated with higher 90-day postoperative mortality, likely reflecting a failure to rescue of these patients following esophagectomy, despite similar composite anastomotic leaks and major complication rates to HIC. These findings warrant further research, to identify potential issues and solutions to improve global outcomes following esophagectomy for cancer.
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38
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Fergusson J, Beenen E, Mosse C, Salim J, Cheah S, Wright T, Cerdeira MP, McQuillan P, Richardson M, Liem H, Spillane J, Yacob M, Albadawi F, Thorpe T, Dingle A, Cabalag C, Loi K, Fisher OM, Ward S, Read M, Johnson M, Bassari R, Bui H, Cecconello I, Sallum RAA, da Rocha JRM, Lopes LR, Tercioti V, Coelho JDS, Ferrer JAP, Buduhan G, Tan L, Srinathan S, Shea P, Yeung J, Allison F, Carroll P, Vargas-Barato F, Gonzalez F, Ortega J, Nino-Torres L, Beltrán-García TC, Castilla L, Pineda M, Bastidas A, Gómez-Mayorga J, Cortés N, Cetares C, Caceres S, Duarte S, Pazdro A, Snajdauf M, Faltova H, Sevcikova M, Mortensen PB, Katballe N, Ingemann T, Morten B, Kruhlikava I, Ainswort AP, Stilling NM, Eckardt J, Holm J, Thorsteinsson M, Siemsen M, Brandt B, Nega B, Teferra E, Tizazu A, Kauppila JS, Koivukangas V, Meriläinen S, Gruetzmann R, Krautz C, Weber G, Golcher H, Emons G, Azizian A, Ebeling M, Niebisch S, Kreuser N, Albanese G, Hesse J, Volovnik L, Boecher U, Reeh M, Triantafyllou S, Schizas D, Michalinos A, Mpali E, Mpoura M, Charalabopoulos A, Manatakis DK, Balalis D, Bolger J, Baban C, Mastrosimone A, McAnena O, Quinn A, Ó Súilleabháin CB, Hennessy MM, Ivanovski I, Khizer H, Ravi N, Donlon N, Cervellera M, Vaccari S, Bianchini S, Sartarelli L, Asti E, Bernardi D, Merigliano S, Provenzano L, Scarpa M, Saadeh L, Salmaso B, De Manzoni G, Giacopuzzi S, La Mendola R, De Pasqual CA, Tsubosa Y, Niihara M, Irino T, Makuuchi R, Ishii K, Mwachiro M, Fekadu A, Odera A, Mwachiro E, AlShehab D, Ahmed HA, Shebani AO, Elhadi A, Elnagar FA, Elnagar HF, Makkai-Popa ST, Wong LF, Yunrong T, Thanninalai S, Aik HC, Soon PW, Huei TJ, Basave HNL, Cortés-González R, Lagarde SM, van Lanschot JJB, Cords C, Jansen WA, Martijnse I, Matthijsen R, Bouwense S, Klarenbeek B, Verstegen M, van Workum F, Ruurda JP, van der Sluis PC, de Maat M, Evenett N, Johnston P, Patel R, MacCormick A, Young M, Smith B, Ekwunife C, Memon AH, Shaikh K, Wajid A, Khalil N, Haris M, Mirza ZU, Qudus SBA, Sarwar MZ, Shehzadi A, Raza A, Jhanzaib MH, Farmanali J, Zakir Z, Shakeel O, Nasir I, Khattak S, Baig M, Noor MA, Ahmed HH, Naeem A, Pinho AC, da Silva R, Matos H, Braga T, Monteiro C, Ramos P, Cabral F, Gomes MP, Martins PC, Correia AM, Videira JF, Ciuce C, Drasovean R, Apostu R, Ciuce C, Paitici S, Racu AE, Obleaga CV, Beuran M, Stoica B, Ciubotaru C, Negoita V, Cordos I, Birla RD, Predescu D, Hoara PA, Tomsa R, Shneider V, Agasiev M, Ganjara I, Gunjic´ D, Veselinovic´ M, Babič T, Chin TS, Shabbir A, Kim G, Crnjac A, Samo H, Díez del Val I, Leturio S, Díez del Val I, Leturio S, Ramón JM, Dal Cero M, Rifá S, Rico M, Pagan Pomar A, Martinez Corcoles JA, Rodicio Miravalles JL, Pais SA, Turienzo SA, Alvarez LS, Campos PV, Rendo AG, García SS, Santos EPG, Martínez ET, Fernández Díaz MJ, Magadán Álvarez C, Concepción Martín V, Díaz López C, Rosat Rodrigo A, Pérez Sánchez LE, Bailón Cuadrado M, Tinoco Carrasco C, Choolani Bhojwani E, Sánchez DP, Ahmed ME, Dzhendov T, Lindberg F, Rutegård M, Sundbom M, Mickael C, Colucci N, Schnider A, Er S, Kurnaz E, Turkyilmaz S, Turkyilmaz A, Yildirim R, Baki BE, Akkapulu N, Karahan O, Damburaci N, Hardwick R, Safranek P, Sujendran V, Bennett J, Afzal Z, Shrotri M, Chan B, Exarchou K, Gilbert T, Amalesh T, Mukherjee D, Mukherjee S, Wiggins TH, Kennedy R, McCain S, Harris A, Dobson G, Davies N, Wilson I, Mayo D, Bennett D, Young R, Manby P, Blencowe N, Schiller M, Byrne B, Mitton D, Wong V, Elshaer A, Cowen M, Menon V, Tan LC, McLaughlin E, Koshy R, Sharp C, Brewer H, Das N, Cox M, Al Khyatt W, Worku D, Iqbal R, Walls L, McGregor R, Fullarton G, Macdonald A, MacKay C, Craig C, Dwerryhouse S, Hornby S, Jaunoo S, Wadley M, Baker C, Saad M, Kelly M, Davies A, Di Maggio F, McKay S, Mistry P, Singhal R, Tucker O, Kapoulas S, Powell-Brett S, Davis P, Bromley G, Watson L, Verma R, Ward J, Shetty V, Ball C, Pursnani K, Sarela A, Sue Ling H, Mehta S, Hayden J, To N, Palser T, Hunter D, Supramaniam K, Butt Z, Ahmed A, Kumar S, Chaudry A, Moussa O, Kordzadeh A, Lorenzi B, Willem J, Bouras G, Evans R, Singh M, Warrilow H, Ahmad A, Tewari N, Yanni F, Couch J, Theophilidou E, Reilly JJ, Singh P, van Boxel G, Akbari K, Zanotti D, Sgromo B, Sanders G, Wheatley T, Ariyarathenam A, Reece-Smith A, Humphreys L, Choh C, Carter N, Knight B, Pucher P, Athanasiou A, Mohamed I, Tan B, Abdulrahman M, Vickers J, Akhtar K, Chaparala R, Brown R, Alasmar MMA, Ackroyd R, Patel K, Tamhankar A, Wyman A, Walker R, Grace B, Abbassi N, Slim N, Ioannidi L, Blackshaw G, Havard T, Escofet X, Powell A, Owera A, Rashid F, Jambulingam P, Padickakudi J, Ben-Younes H, Mccormack K, Makey IA, Karush MK, Seder CW, Liptay MJ, Chmielewski G, Rosato EL, Berger AC, Zheng R, Okolo E, Singh A, Scott CD, Weyant MJ, Mitchell JD. Comparison of short-term outcomes from the International Oesophago-Gastric Anastomosis Audit (OGAA), the Esophagectomy Complications Consensus Group (ECCG), and the Dutch Upper Gastrointestinal Cancer Audit (DUCA). BJS Open 2021; 5:zrab010. [PMID: 35179183 PMCID: PMC8140199 DOI: 10.1093/bjsopen/zrab010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 01/27/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The Esophagectomy Complications Consensus Group (ECCG) and the Dutch Upper Gastrointestinal Cancer Audit (DUCA) have set standards in reporting outcomes after oesophagectomy. Reporting outcomes from selected high-volume centres or centralized national cancer programmes may not, however, be reflective of the true global prevalence of complications. This study aimed to compare complication rates after oesophagectomy from these existing sources with those of an unselected international cohort from the Oesophago-Gastric Anastomosis Audit (OGAA). METHODS The OGAA was a prospective multicentre cohort study coordinated by the West Midlands Research Collaborative, and included patients undergoing oesophagectomy for oesophageal cancer between April and December 2018, with 90 days of follow-up. RESULTS The OGAA study included 2247 oesophagectomies across 137 hospitals in 41 countries. Comparisons with the ECCG and DUCA found differences in baseline demographics between the three cohorts, including age, ASA grade, and rates of chronic pulmonary disease. The OGAA had the lowest rates of neoadjuvant treatment (OGAA 75.1 per cent, ECCG 78.9 per cent, DUCA 93.5 per cent; P < 0.001). DUCA exhibited the highest rates of minimally invasive surgery (OGAA 57.2 per cent, ECCG 47.9 per cent, DUCA 85.8 per cent; P < 0.001). Overall complication rates were similar in the three cohorts (OGAA 63.6 per cent, ECCG 59.0 per cent, DUCA 62.2 per cent), with no statistically significant difference in Clavien-Dindo grades (P = 0.752). However, a significant difference in 30-day mortality was observed, with DUCA reporting the lowest rate (OGAA 3.2 per cent, ECCG 2.4 per cent, DUCA 1.7 per cent; P = 0.013). CONCLUSION Despite differences in rates of co-morbidities, oncological treatment strategies, and access to minimal-access surgery, overall complication rates were similar in the three cohorts.
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Zhou Y, Xie S, Zheng R, Dai Q, Xu Z, Zuo W, Ding J, Zhang Y. Brucellar reproductive system injury: A retrospective study of 22 cases and review of the literature. J Int Med Res 2021; 48:300060520924548. [PMID: 32552113 PMCID: PMC7303501 DOI: 10.1177/0300060520924548] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Objective We aimed to describe the clinical characteristics and prognosis of 22
patients with Brucella-induced reproductive system
injury. Methods We assessed 22 patients with reproductive system injury between 2010 and 2018
at The First Affiliated Hospital of Xinjiang Medical University. Results The disease is predominant in men. Male patients had orchitis, erectile
dysfunction, prostatitis, and urethral stricture, while female patients had
vaginitis and cervicitis. Some patients had laboratory abnormalities and
liver injury. Patients received combination therapy of rifampicin and
doxycycline. Doxycycline combined with levofloxacin or moxifloxacin was
administered to patients with rifampicin intolerance. All patients had
received antibiotic therapy for at least 6 weeks. One patient was lost to
follow-up, one patient relapsed because of osteoarthropathy, and one patient
had dysuria resulting from chronic prostatitis. The clinical symptoms
resolved in the other patients, and the overall patient prognosis was
good. Conclusion Clinicians should pay attention to brucellosis-induced reproductive system
damage. The two-drug regimen of rifampicin+doxycycline is recommended for
these patients. Doxycycline combined with levofloxacin or moxifloxacin
should be used in patients with brucellosis-induced reproductive system
damage who have rifampicin intolerance. The treatment course should be at
least 6 weeks.
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Affiliation(s)
- Yan Zhou
- Department of Infection Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Songsong Xie
- The First Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Rongjiong Zheng
- Department of Infection Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Qinqi Dai
- Department of Infection Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Zheng Xu
- Department of Infection Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Weize Zuo
- The First Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Jianbing Ding
- Department of Immunology, Basic Medical College, Xinjiang Medical University, Urumqi, China
| | - Yuexin Zhang
- Department of Infection Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.,Department of Immunology, Basic Medical College, Xinjiang Medical University, Urumqi, China
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Devin CL, Olson MA, Tastaldi L, Zheng R, Berger AC, Palazzo F. Surgical management of infected abdominal wall mesh: an analysis using the American Hernia Society Quality Collaborative. Hernia 2021; 25:1529-1535. [PMID: 33400028 DOI: 10.1007/s10029-020-02355-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 12/04/2020] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Several management strategies exist for the treatment of infected abdominal mesh. Using the American Hernia Society Quality Collaborative, we examined management patterns and 30-day outcomes of infected mesh removal with concomitant incisional hernia repair. METHODS All patients undergoing incisional hernia repair with removal of infected mesh were identified. A complete repair (CR) was defined as fascial closure with mesh; a partial repair (PR) was defined as fascial closure without mesh or no fascial closure with mesh. A two-tailed p value less than or equal to 0.05 was considered statistically significant. RESULTS A total of 282 patients were identified: 136 patients in CR group and 146 patients in PR group. Patients had similar comorbidities but differed in wound class (class IV: 55% CR vs 83% SR, p < 0.001) and incidence of associated concomitant colorectal procedures (5% CR vs 18% SR, p = 0.015). Sublay placement was used primarily in CR (94%) compared to PR (52% inlay, 48% sublay). When comparing CR to PR, length of stay (median 6, p = 0.69), complications (40% vs 44%, p = 0.44), surgical site infections (16% vs 21%, p = 0.27), surgical site occurrence (30% vs 35%, p = 0.45), and readmission within 30 days (9% vs. 13%) were not statistically different. CONCLUSIONS Analysis of data from a multicenter hernia registry comparing CR and PR during infected mesh removal and concurrent incisional hernia repair has not identified higher rates of short-term complications between groups in the presence of infection.
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Affiliation(s)
- C L Devin
- Department of Surgery, Sidney Kimmel Medical College, Thomas Jefferson University Hospital, 1100 Walnut Street-Suite 500, Philadelphia, PA, 19107, USA
| | - M A Olson
- Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, USA
| | - L Tastaldi
- Department of Surgery, University of Texas Medical Branch, Galveston, TX, USA
| | - R Zheng
- Department of Surgery, Sidney Kimmel Medical College, Thomas Jefferson University Hospital, 1100 Walnut Street-Suite 500, Philadelphia, PA, 19107, USA
| | - A C Berger
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - F Palazzo
- Department of Surgery, Sidney Kimmel Medical College, Thomas Jefferson University Hospital, 1100 Walnut Street-Suite 500, Philadelphia, PA, 19107, USA.
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Li M, Zheng R, Yuan FL. MiR-410 affects the proliferation and apoptosis of lung cancer A549 cells through regulation of SOCS3/JAK-STAT signaling pathway. Eur Rev Med Pharmacol Sci 2020; 24:11462. [PMID: 33275202 DOI: 10.26355/eurrev_202011_23747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Since this article has been suspected of research misconduct and the corresponding authors did not respond to our request to prove originality of data and figures, "MiR-410 affects the proliferation and apoptosis of lung cancer A549 cells through regulation of SOCS3/JAK-STAT signaling pathway, by M. Li, R. Zheng, F.-L. Yuan, published in Eur Rev Med Pharmacol Sci 2018; 22 (18): 5987-5993-DOI: 10.26355/eurrev_201809_15933-PMID: 30280781" has been withdrawn. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/15933.
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Affiliation(s)
- M Li
- Department of Respiration, Yantai Yeda Hospital, Yantai, Shandong, China
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Zheng R, Huang X, Chi P, Xu B. Prognostic Importance Of The Use Of Glucocorticoids And Antibiotics During The Neoadjuvant Radiotherapy Treatment In Locally Advanced Rectal Cancer: An Observational Study. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Wu Z, Zheng R, Zhang J, Wu S. Transcriptional profiling of Pseudomonas aeruginosa PAO1 in response to anti-biofilm and anti-infection agent exopolysaccharide EPS273. J Appl Microbiol 2020; 130:265-277. [PMID: 32619289 DOI: 10.1111/jam.14764] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 05/03/2020] [Accepted: 06/24/2020] [Indexed: 02/06/2023]
Abstract
AIMS Relatively, few anti-biofilm polysaccharides against Pseudomonas aeruginosa were done to investigate the underlying molecular mechanism. Exopolysaccharide EPS273 can clearly reduce biofilm formation and infection of P. aeruginosa. This study aims to investigate its anti-biofilm and anti-infection mechanism on transcriptional level. METHODS AND RESULTS Herein, we used an RNA-Seq transcriptomic approach to investigate the underlying anti-biofilm and anti-infection mechanism of EPS273. The expression levels of a large number of genes were changed after P. aeruginosa PAO1 was treated with EPS273. Especially, the genes related to biofilm formation, such as gene involved in production of extracellular matrix and virulence factor, genes involved in flagella and cell motility and genes involved in iron acquisition. Notably, the expression levels of genes involved in regulatory and signal transduction were markedly downregulated, such as two-component system PhoP-PhoQ and quorum sensing (QS) system LasI/LasR and RhlI/RhlR. Furthermore, when genes phoP and phoQ were disrupted, respectively, the reduction of biofilm formation and cell motility in mutant △phoP or △phoQ was also detected. CONCLUSION EPS273 may exert its anti-biofilm and anti-infection function by downregulating gene expression of two-component system PhoP-PhoQ and QS systems LasI/LasR and RhlI/RhlR of P. aeruginosa, which further regulated expression of genes involved in biofilm formation. SIGNIFICANCE AND IMPACT OF THE STUDY Our data will expand understanding of anti-biofilm mechanisms of polysaccharides on transcriptomic level.
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Affiliation(s)
- Z Wu
- College of Life Sciences, Qingdao University, Qingdao, Shandong, China
| | - R Zheng
- CAS Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, China
| | - J Zhang
- CAS Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, China
| | - S Wu
- College of Life Sciences, Qingdao University, Qingdao, Shandong, China
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Qiu HJ, Yuan LX, Huang XK, Zhou YQ, Wu QW, Zheng R, Yang QT. [Using the big data of internet to understand the characteristics of coronavirus disease 2019: a big data study]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 55:569-575. [PMID: 32186171 DOI: 10.3760/cma.j.cn115330-20200225-00128] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the symptom characteristics of Coronavirus Disease 2019(COVID-19) and to improve its prevention by using big data. Methods: Using Baidu Index Platform (http://index.baidu.com) and the website of Chinese Center for Disease Control and Prevention as data resources, we obtained the search volume (SV) of keywords for symptoms associated with COVID-19 from January 1 to February 20 in each year from 2017 to 2020, in Hubei province and other top 10 impacted provinces in China and the epidemic data. Data of 2020 were compared with the previous three years. Data of Hubei province were compared with confirmed cases. The differences and characteristics of the SV of COVID-19-related symptoms, and the correlation between the SV of COVID-19 and new confirmed or suspected cases were analyzed and the hysteresis effects were discussed. R3.6.2 software was used to analyze the data. Results: Compared the data from January 1 to February 20, 2020, with the SV for the same period of previous three years, Hubei's SV for cough, fever, diarrhea, chest tightness, dyspnea and other symptoms were significantly increased. The total SV of lower respiratory symptoms was significantly higher than that of upper respiratory symptoms (P<0.001). The SV of COVID-19 in Hubei province was significantly correlated with new confirmed or suspected cases (r(confirmed)=0.723, r(suspected)=0.863, all P<0.001). The results of the distributed lag model suggested that the patients who retrieved relevant symptoms on the internet may begin to see a doctor in 2-3 days later and be diagnosed in 3-4 days later. Conclusions: The total SV of lower respiratory symptoms is higher than that of upper respiratory symptoms, and the SV of diarrhea also increases significantly. It warns us to pay attention to not only the symptoms of lower respiratory tract, but also the gastrointestinal symptoms, especially diarrhea in patients with COVID-19. There is a relationship between internet retrieval behavior and the number of new confirmed or suspected cases. Big data have a certain role in the early warning of infectious diseases.
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Affiliation(s)
- H J Qiu
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - L X Yuan
- Department of Science and Research, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - X K Huang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Y Q Zhou
- Department of Pulmonary and Critical Care Medicine, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Q W Wu
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - R Zheng
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Q T Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
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Zheng R, Niu J, Wu S, Wang T, Wang S, Xu M, Chen Y, Dai M, Zhang D, Yu X, Tang X, Hu R, Ye Z, Shi L, Su Q, Yan L, Qin G, Wan Q, Chen G, Gao Z, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Mu Y, Xu Y, Li M, Lu J, Wang W, Zhao Z, Xu Y, Bi Y, Ning G. Gender and age differences in the association between sleep characteristics and fasting glucose levels in Chinese adults. Diabetes Metab 2020; 47:101174. [PMID: 32659495 DOI: 10.1016/j.diabet.2020.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/24/2020] [Accepted: 07/01/2020] [Indexed: 01/19/2023]
Abstract
AIM The present study examined the associations between night-time sleep duration, midday napping duration and bedtime, and fasting glucose levels, and whether or not such associations are dependent on gender and age. METHODS This study was a cross-sectional analysis of 172,901 adults aged≥40 years living in mainland China. Sleep duration was obtained by self-reports of bedtime at night, waking-up time the next morning and average napping duration at midday. Fasting plasma glucose (FPG)≥7.0mmol/L was defined as hyperglycaemia. Independent associations between night-time sleep duration, midday naptime duration and bedtime with hyperglycaemia were evaluated using regression models. RESULTS Compared with night-time sleep durations of 6-7.9h, both short (<6h) and long (≥8h) night-time sleep durations were significantly associated with an increased risk of hyperglycaemia in women [odds ratio (OR): 1.12, 95% confidence interval (CI): 1.01-1.29 and OR: 1.14, 95% CI: 1.08-1.21, respectively], and revealed a U-shaped distribution of risk in women and no significant association in men. Long midday nap durations (≥1h) were significantly but weakly associated with hyperglycaemia (OR: 1.04, 95% CI: 1.01-1.09) compared with no napping without interactions from gender or age, whereas the association between bedtime and fasting glucose levels did vary according to gender and age. CONCLUSION Night-time sleep duration, midday napping duration and bedtime were all independently associated with the risk of hyperglycaemia, and some of the associations between these sleep characteristics and hyperglycaemia were gender- and age-dependent.
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Affiliation(s)
- R Zheng
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - J Niu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - S Wu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - T Wang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - S Wang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - M Xu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Y Chen
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - M Dai
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - D Zhang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - X Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Tang
- First Hospital of Lanzhou University, Lanzhou, China
| | - R Hu
- Zhejiang Provincial Centre for Disease Control and Prevention, Zhejiang, China
| | - Z Ye
- Zhejiang Provincial Centre for Disease Control and Prevention, Zhejiang, China
| | - L Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Q Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - L Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - G Qin
- First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Q Wan
- Affiliated Hospital of Luzhou Medical College, Luzhou, China
| | - G Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Z Gao
- Dalian Municipal Central Hospital, Dalian Medical University, Dalian, China
| | - G Wang
- First Hospital of Jilin University, Changchun, China
| | - F Shen
- First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Z Luo
- First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Y Qin
- First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Y Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Q Li
- Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Y Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - C Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Y Wang
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - S Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - T Yang
- First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - H Deng
- First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - L Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Y Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Y Xu
- Clinical Trials Centre, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - J Lu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - W Wang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Z Zhao
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China.
| | - Y Xu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China.
| | - Y Bi
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China.
| | - G Ning
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
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Abstract
BACKGROUND This study aimed to identify risk factors affecting cancer-specific survival (CSS) and overall survival (OS) in patients with lung squamous cell carcinoma (LSCC) and to develop nomograms for prognostic prediction in these patients. METHODS Patients who received an LSCC diagnosis between 2007 and 2013 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic effect of each variable on survival was evaluated with Cox regression and Kaplan-Meier analysis, and nomograms were developed to predict 3-, 5-, and 7-year CSS and OS rates. RESULTS Data from 23,004 patients with LSCC were analyzed. Nomograms were first developed by using variables that were significantly associated with CSS and OS and then validated by using an internal bootstrap resampling approach, which showed that they had a sufficient level of discrimination, according to the C-index. CONCLUSIONS The nomograms satisfactorily predicted 3-, 5-, and 7-year CSS and OS rates for patients with LSCC.
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Affiliation(s)
| | - Xiaolong Gu
- Department of Pulmonology, Ningbo Yinzhou Second Hospital
| | - Mingming Wang
- Department of Pulmonology, Ningbo Yinzhou Second Hospital
| | - Meiling Hu
- Cixi People's Hospital of Zhejiang Province
| | - Haiqi Xu
- Department of Pulmonology, Ningbo Yinzhou Second Hospital
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Gao R, Li Y, Cao Y, Zheng R, Tang L, Yang J, Lu X. Glucocorticoid versus traditional therapy for hepatitis B virus-related acute-on-chronic liver failure: A systematic review and meta-analysis. Medicine (Baltimore) 2020; 99:e20604. [PMID: 32569189 PMCID: PMC7310991 DOI: 10.1097/md.0000000000020604] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE This meta-analysis aimed to assess the efficacy and safety of glucocorticoid versus traditional therapy for hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF). METHODS PubMed, Cochrane Central Register of Clinical Trials, and EMBASE were searched. All clinical studies, including randomized controlled studies and cohort studies, comparing glucocorticoids with traditional treatments (until November 1, 2018), were included. RESULTS A total of 3 randomized controlled trials and 5 cohort studies (including 3 retrospective cohort studies), involving 538 patients, were subjected to the meta-analysis. The total bilirubin levels before treatment were not significantly different (odds ratio [OR]: -0.97; 95% confidence interval [CI]: -2.56 to 0.62; P = .23), and, however, they were significantly reduced after treatment in the corticosteroid group compared with the traditional treatment group (OR: -8.83; 95% CI: -14.99 to 2.67; P = .005). Moreover, prothrombin time was significantly long before treatment in either group, with no significant differences (OR: 0.28; 95% CI: -0.79 to 1.34; P = 0.61). However, after treatment, prothrombin time was significantly shortened in the traditional treatment group (OR: 31.71; 95% CI: 3.62-59.81; P = .03). Furthermore, inpatient mortality (OR: 0.23; 95% CI: 0.08-0.67; P = .007) and ascites events (OR: 0.35; 95% CI: 0.18-0.67; P = .90) were significantly lower in the corticosteroid treatment group. CONCLUSIONS Glucocorticoid is more effective for reducing the T-bili level, significantly decreasing in-hospital mortality and ascites events in HBV-related ACLF patients. Moreover, bilirubin may play a pivotal role in the early stage of HBV-related ACLF progression to advanced liver failure.
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Affiliation(s)
| | | | - Yang Cao
- Department of First Aid Trauma Center
| | | | - Li Tang
- Department of First Aid Trauma Center
| | | | - Xiaobo Lu
- Infectious Disease Center, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
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Chen ZQ, Yu XS, Mao LJ, Zheng R, Xue LL, Shu J, Luo ZW, Pan JY. Prognostic value of neutrophil-lymphocyte ratio in critically ill patients with cancer: a propensity score matching study. Clin Transl Oncol 2020; 23:139-147. [PMID: 32472452 DOI: 10.1007/s12094-020-02405-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 05/14/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Neutrophil-lymphocyte ratio (NLR) has shown a good prognostic value in many different type of malignancies. The purpose of this study was to investigate the relationship between NLR and the outcome of critically ill patients with cancer. METHODS We performed a single-institution, retrospective study of 1317 adult critically ill patients with cancer and determined the optimal cut-off for NLR by X-tile software. Propensity score matching (PSM) and inverse probabilities of treatment weighting (IPTW) were performed to control confounders. Cox proportional hazards model was used to evaluate the relationship between NLR and 28-day, 6-month and 1-year all-cause mortality. Kaplan-Meier method, subgroup analysis, and receiver operating characteristics (ROC) analysis were applied to assess the prognostic value of NLR. RESULTS The cut-off value for NLR was 17.6. Cox proportional hazards model demonstrated that high NLR (> 17.6) was independently associated with 28-day, 6-month and 1-year all-cause mortality with hazard ratio (HR) of 1.58 (1.29, 1.94), 1.51 (1.28, 1.77) and 1.45 (1.25, 1.69), respectively. The results were consistent with survival analyses (p < 0.001, log-rank test). The ROC analyses showed that the discrimination abilities of NLR were better than other blood-based biomarkers. CONCLUSION NLR is a promising prognostic indicator of survival in unselected critical ill patients with cancer.
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Affiliation(s)
- Z-Q Chen
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - X-S Yu
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - L-J Mao
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - R Zheng
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - L-L Xue
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - J Shu
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Z-W Luo
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - J-Y Pan
- Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China.
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Yamamoto T, Fukuda K, Morita A, Kimura T, Morishima H, Goto R, Zheng R, Terui T. Efficacy of guselkumab in a subpopulation with pustulotic arthro-osteitis through week 52: an exploratory analysis of a phase 3, randomized, double-blind, placebo-controlled study in Japanese patients with palmoplantar pustulosis. J Eur Acad Dermatol Venereol 2020; 34:2318-2329. [PMID: 32173916 PMCID: PMC7586986 DOI: 10.1111/jdv.16355] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 02/18/2020] [Indexed: 12/11/2022]
Abstract
Background Previous studies of guselkumab have demonstrated clinical benefits in patients with plaque‐type psoriasis, generalized pustular psoriasis, erythrodermic psoriasis and palmoplantar pustulosis (PPP). Objective The aim of this exploratory analysis of a double‐blind, multicenter, placebo‐controlled, phase 3 study in Japanese patients with PPP was to evaluate the efficacy of guselkumab in the subset of patients with pustulotic arthro‐osteitis (PAO). Methods Patients were randomized to receive guselkumab 100 or 200 mg at weeks 0, 4, 12 and every 8 weeks, or placebo with cross‐over to guselkumab 100 or 200 mg at week 16 (placebo group). Efficacy endpoints were changes from baseline in magnetic resonance imaging (MRI) score, EuroQOL‐5 dimensions (EQ‐5D) index score, EQ‐5D pain/discomfort dimension score and C‐reactive protein (CRP, mg/L) level in all PAO patients through week 52. Data from both guselkumab groups were combined and presented as results for a single overall guselkumab group. Results Among 159 patients with PPP, 66 with PAO were randomized across treatment groups. For patients with MRI data for all regions assessed, the proportion of patients in the guselkumab group with PAO characterized as severe decreased from 23.8% (10/42) at baseline to 5.4% (2/42) at week 52. The mean (SD) change from baseline at week 52 in EQ‐5D index score was 0.20 (0.17) among PPP patients with PAO and 0.15 (0.17) among those without PAO in the guselkumab group. Among all PAO patients, the proportions with an EQ‐5D pain/discomfort dimension score of no or slight pain/discomfort in the guselkumab group increased from baseline to week 52 [33.3% (7/21) vs. 87.5% (35/40)]. The mean (SD) CRP levels decreased in all PAO patients in the guselkumab group at week 52 compared to baseline [−1.71 (8.16) mg/L]. Conclusion Guselkumab treatment showed beneficial outcomes for PAO signs and symptoms in Japanese patients with PPP.
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Affiliation(s)
- T Yamamoto
- Department of Dermatology, Fukushima Medical University, Fukushima, Japan
| | - K Fukuda
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - A Morita
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - T Kimura
- Janssen Pharmaceutical K.K, Tokyo, Japan
| | | | - R Goto
- Janssen Pharmaceutical K.K, Tokyo, Japan
| | - R Zheng
- Janssen Pharmaceutical K.K, Tokyo, Japan
| | - T Terui
- Department of Dermatology, Nihon University School of Medicine, Tokyo, Japan
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Li M, Zheng R, Yuan FL. MiR-410 affects the proliferation and apoptosis of lung cancer A549 cells through regulation of SOCS3/JAK-STAT signaling pathway. Eur Rev Med Pharmacol Sci 2020; 22:5987-5993. [PMID: 30280781 DOI: 10.26355/eurrev_201809_15933] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Janus kinase (JAK) - signal transducer and activator of transcription (STAT) signal pathway participates in regulating cell proliferation, differentiation, and apoptosis, and is correlated with non-small cell lung cancer (NSCLC) onset. Suppressors of cytokine signaling 3 (SOCS3) negatively regulates JAK-STAT pathway. SOCS3 is down-regulated in NSCLC tissues, with an elevation of miR-410 expression. This study thus intends to investigate if miR-410 plays a role in mediating NSCLC onset and underlying mechanism in this regulatory process. PATIENTS AND METHODS NSCLC patients were collected for tumor and adjacent tissues, among which, miR-410 and SOCS3 expression were measured. Dual luciferase reporter gene assay was employed to confirm the targeting relationship between miR-410 and SOCS3. Their expression levels were compared between A549 and BEAS-2B cells. Cultured A549 cells were treated with anti-miR-410 and/or SOCS3. Expression levels of SOCS3, p-JAK1/2, p-STAT3, and Bcl-2 were compared along with the apoptotic rate of cells. RESULTS Bioinformatics analysis revealed targeted binding site between miR-410 and 3'-UTR of SOCS3 mRNA. Compared to those in tumor tissues, a significant increase of miR-410 and reduction of SOCS3 were found in NSCLC tissue (p < 0.05). Dual luciferase reporter gene assay indicated that SOCS3 was targeted regulated by miR-410. Significantly higher miR-410 and lower SOCS3 levels were shown in A549 cells, compared to those in BEAS-2B cells. Transfection of anti-miR-410 and/or SOCS3 in A549 cells, SOCS3 expression and apoptosis were significantly induced, while JAK1, JAK2, and STAT3 phosphorylation were statistically decreased with the reduction of the Bcl-2 level (p < 0.05). CONCLUSIONS miR-410 level was increased while SOCS3 expression was declined in NSCLS tissues. MiR-410 induces the apoptosis of A549 cells through downregulating JAK/STAT3/SOCS3 signaling pathway, which provides new insights for the therapy of pulmonary carcinoma in clinic.
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Affiliation(s)
- M Li
- Department of Respiration, Yantai Yeda Hospital, Yantai, Shandong, China.
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