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Pérez-Cruz E, Howlet-Caballero LC, Villanueva XJ. Association of albumin, neutrophil-lymphocyte ratio and lymphocytes with clinical stage in cervical cancer patients. Clin Transl Oncol 2024:10.1007/s12094-024-03575-5. [PMID: 39002067 DOI: 10.1007/s12094-024-03575-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 06/17/2024] [Indexed: 07/15/2024]
Abstract
OBJECTIVE To determinate the association between of albumin, neutrophil-lymphocyte ratio and lymphocytes (NLR) with clinical stage in cervical cancers. METHODS Design a retrospective cross-sectional study of consecutive subjects diagnosed with cervical cancer for the first time. The Bethesda system was used for histological diagnosis and the subjects were stratified with the FIGO system, considering stages IA to IIB as localized; while, IIIA and IVB as advanced stages. Albumin, NLR and lymphocytes were evaluated as inflammatory biomarkers and the cut-off points generated by the ROC curves were albumin < 3 mg/dL, NLR ≥ 2.0 and lymphocytes < 1.2 103/ul. The association was calculated by Odds Ratios (OR) with 95% confidence intervals. RESULTS A total of 152 patients were analyzed, with mean age of 49.3 ± 14.0 years. Epidermoid cancer was the most frequent in 70.6% and 51.3% were classified as advanced clinical stages. A bivariate analysis showed significant relationships between advanced clinical stages and albumin < 3 mg/dL with OR 5.72 (CI95% 2.62-12.4; p < 0.001); for NLR ≥ 2.0 an OR 2.53 (CI95% 1.34-4.89; p = 0.005) and for lymphocytes < 1.2 103/ul of OR 3.39 (CI95% = 1.73-6.65; p < 0.001). CONCLUSIONS Albumin levels < 3 mg/dL, NLR ≥ 2.0 and lymphocytes < 1.2 103/ul, were associated with advanced stages in subjects with cervical cancer.
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Affiliation(s)
- Elizabeth Pérez-Cruz
- Department Metabolic Unit and Nutritional Support, Hospital Juárez de México, Av. Instituto Politécnico Nacional Núm. 5160, Col. Magdalena de las Salinas, C.P. 07760, Del Gustavo A. Madero, Mexico City, México.
- Obesity Clinic, Hospital Juárez de México, Mexico City, México.
- School of Medicine, National Autonomous University of Mexico, Mexico City, México.
| | | | - Xicoténcatl Jiménez Villanueva
- School of Medicine, National Autonomous University of Mexico, Mexico City, México
- Department Oncology, Hospital Juárez de México, Mexico City, México
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2
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Zou J, Li H, Deng G, Wang X, Zheng X, Chen J, Meng Z, Zheng Y, Gao Y, Qian Z, Liu F, Lu X, Shi Y, Shang J, Huang Y, Chen R. A novel prognostic nomogram for older patients with acute-on-chronic liver diseases (AoCLD): a nationwide, multicentre, prospective cohort study. Age Ageing 2023; 52:6974854. [PMID: 36626326 PMCID: PMC9831261 DOI: 10.1093/ageing/afac313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 11/03/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND the incidence of acute-on-chronic liver disease (AoCLD) is increasing. OBJECTIVE to investigate the clinical features and risk factors of AoCLD and construct an effective prognostic nomogram model for older patients with AoCLD. METHODS data from 3,970 patients included in the CATCH-LIFE study were used, including 2,600 and 1,370 patients in the training and validation sets, respectively. Multivariate Cox regression analyses were performed to identify predictive risk factors in older individuals, and an easy-to-use nomogram was established. Performance was assessed using area under the curve, calibration plots and decision curve analysis (DCA). RESULTS of the 3,949 patients with AoCLD, 809 were older with a higher proportion of autoimmune-related abnormalities, hepatitis C viral infection and schistosomiasis. In the older patient group, the incidence of cirrhosis, hepatic encephalopathy (HE), infection, ascites and gastrointestinal bleeding; neutrophil-to-lymphocyte ratio (NLR), aspartate-to-alanine transaminase ratio (AST/ALT), creatinine and blood urea nitrogen levels were higher, whereas incidence of acute-on-chronic liver failure, white blood cell, platelet and haemoglobin levels; albumin, total bilirubin (TB), AST and ALT levels; international normalised ratio (INR), estimated glomerular filtration rate and blood potassium levels were lower than in the younger group. The final nomogram was developed based on the multivariate Cox analysis in training cohort using six risk factors: ascites, HE grades, NLR, TB, INR and AST/ALT. Liver transplantation-free mortality predictions were comparable between the training and validation sets. DCA showed higher net benefit for the nomograph than the treat-all or treat-none strategies, with wider threshold probabilities ranges. CONCLUSIONS our analysis will assist clinical predictions and prognoses in older patients with AoCLD.
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Affiliation(s)
| | | | | | | | | | | | - Zhongji Meng
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, 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
| | - 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 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
| | - Yu Shi
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, 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
| | - Jia Shang
- Chinese Chronic Liver Failure (CLIF) Consortium, Shanghai, China,Department of Infectious Diseases, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Yan Huang
- Address correspondence to: 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.
| | - Ruochan Chen
- Address correspondence to: 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.
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Wu J, Shi C, Sheng X, Xu Y, Zhang J, Zhao X, Yu J, Shi X, Li G, Cao H, Li L. Prognostic Nomogram for Patients with Hepatitis E Virus-related Acute Liver Failure: A Multicenter Study in China. J Clin Transl Hepatol 2021; 9:828-837. [PMID: 34966646 PMCID: PMC8666371 DOI: 10.14218/jcth.2020.00117] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 03/14/2021] [Accepted: 04/16/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND AIMS Timely and effective assessment scoring systems for predicting the mortality of patients with hepatitis E virus-related acute liver failure (HEV-ALF) are urgently needed. The present study aimed to establish an effective nomogram for predicting the mortality of HEV-ALF patients. METHODS The nomogram was based on a cross-sectional set of 404 HEV-ALF patients who were identified and enrolled from a cohort of 650 patients with liver failure. To compare the performance with that of the model for end-stage liver disease (MELD) scoring and CLIF-Consortium-acute-on-chronic liver failure score (CLIF-C-ACLFs) models, we assessed the predictive accuracy of the nomogram using the concordance index (C-index), and its discriminative ability using time-dependent receiver operating characteristics (td-ROC) analysis, respectively. RESULTS Multivariate logistic regression analysis of the development set carried out to predict mortality revealed that γ-glutamyl transpeptidase, albumin, total bilirubin, urea nitrogen, creatinine, international normalized ratio, and neutrophil-to-lymphocyte ratio were independent factors, all of which were incorporated into the new nomogram to predict the mortality of HEV-ALF patients. The area under the curve of this nomogram for mortality prediction was 0.671 (95% confidence interval: 0.602-0.740), which was higher than that of the MELD and CLIF-C-ACLFs models. Moreover, the td-ROC and decision curves analysis showed that both discriminative ability and threshold probabilities of the nomogram were superior to those of the MELD and CLIF-C-ACLFs models. A similar trend was observed in the validation set. CONCLUSIONS The novel nomogram is an accurate and efficient mortality prediction method for HEV-ALF patients.
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Affiliation(s)
- Jian Wu
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Laboratory Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Cuifen Shi
- Department of Infectious Disease, The Second People’s Hospital of Yancheng City, Yancheng, Jiangsu, China
| | - Xinyu Sheng
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yanping Xu
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jinrong Zhang
- Department of Laboratory Medicine, The People’s Hospital of Dafeng City, Yancheng, Jiangsu, China
| | - Xinguo Zhao
- Department of Respiration, The Fifth People’s Hospital of Wuxi, Wuxi, Jiangsu, China
| | - Jiong Yu
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xinhui Shi
- Department of Laboratory Medicine, The First People’s Hospital of Yancheng City, Yancheng, Jiangsu, China
| | - Gongqi Li
- Department of Clinical Laboratory, Linyi Traditional Hospital, Linyi, Shandong, China
| | - Hongcui Cao
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Zhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, Hangzhou, Zhejiang, China
- Correspondence to: Hongcui Cao, State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou, Zhejiang 310003, China. ORCID: https://orcid.org/0000-0002-6604-6867. Tel: +86-571-87236451, Fax: +86-571-87236459, E-mail:
| | - Lanjuan Li
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Yang J, Xue R, Wu J, Jia L, Li J, Yu H, Zhu Y, Dong J, Meng Q. Development and Validation of a Nomogram for 90-day Outcome in Patients with Hepatitis B Virus-related Acute-on-chronic Liver Failure. J Clin Transl Hepatol 2021; 10:458-466. [PMID: 35836768 PMCID: PMC9240246 DOI: 10.14218/jcth.2021.00202] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 06/30/2021] [Accepted: 09/15/2021] [Indexed: 12/04/2022] Open
Abstract
Background and Aims It is challenging to predict the 90-day outcomes of patients infected with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) via prevailing predictive models. This study aimed to develop an innovative model to enhance the analytical efficacy of 90-day mortality in HBV-ACLF. Methods In this study, 149 HBV-ACLF patients were evaluated by constructing a death risk prediction nomogram. Bootstrap resampling and an independent validation cohort comprising 31 patients from June 2019 to February 2020 were assessed for model confirmation. Results The nomogram was constructed by entering and identifying five factors (age, total bilirubin, prothrombin activity (PTA), lymphocyte (L)%, and monocyte (M)%. Healthy refinement was achieved from the nomogram analysis, where the area under the receiver operating characteristic curve was 0.864 for the training cohort and 0.874 was achieved for the validation cohort. There was admirable concordance between the predicted and true results in the equilibrium curve. The decision curve assessment revealed the useful clinical application of the nomogram. Conclusions We constructed an innovative nomogram and validated it for the prediction of 90-day HBV-ACLF patient outcomes. This model might help develop optimized treatment protocol recommendations for HBV-ACLF patients.
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Affiliation(s)
- Jun Yang
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Ran Xue
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Phase I Clinical Trial, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jing Wu
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Lin Jia
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Juan Li
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Hongwei Yu
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yueke Zhu
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jinling Dong
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Qinghua Meng
- Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University, Beijing, China
- Correspondence to: Qinghua Meng, Department of Critical Care Medicine of Liver Disease, Beijing Youan Hospital, Capital Medical University. No. 8 Xi Tou Tiao, You An Men Wai Street, Fengtai District, Beijing 100069, China. ORCID: https://orcid.org/0000-0001-9967-6403. Tel: +86-10-8399-7160, Fax: +86-10-6329-3371, E-mail:
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Chen JF, Weng WZ, Huang M, Peng XH, He JR, Zhang J, Xiong J, Zhang SQ, Cao HJ, Gao B, Lin DN, Gao J, Gao ZL, Lin BL. Derivation and Validation of a Nomogram for Predicting 90-Day Survival in Patients With HBV-Related Acute-on-Chronic Liver Failure. Front Med (Lausanne) 2021; 8:692669. [PMID: 34222294 PMCID: PMC8241917 DOI: 10.3389/fmed.2021.692669] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 05/17/2021] [Indexed: 12/22/2022] Open
Abstract
Background: Conventional prognostic models do not fully reflect the severity of hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF). This study aimed to establish an effective and convenient nomogram for patients with HBV-related ACLF. Methods: A nomogram was developed based on a retrospective cohort of 1,353 patients treated at the Third Affiliated Hospital of Sun Yat-sen University from January 2010 to June 2016. The predictive accuracy and discriminatory ability of the nomogram were determined by a concordance index (C-index) and calibration curve, and were compared with current scoring systems. The results were validated using an independent retrospective cohort of 669 patients consecutively treated at the same institution from July 2016 to March 2018. This study is registered at ClinicalTrials.gov (NCT03992898). Results: Multivariable analysis of the derivation cohort found that independent predictors of 90-day survival were age, white blood cell (WBC) count, hemoglobin (Hb), aspartate aminotransferase (AST), total bilirubin (TBil), international normalized ratio, serum creatinine (Cr), alpha fetoprotein (AFP), serum sodium (Na), hepatic encephalopathy (HE), pre-existing chronic liver disease(PreLD), and HBV DNA load. All factors were included in the nomogram. The nomogram calibration curve for the probability of 90-day survival indicated that nomogram-based predictions were in good agreement with actual observations. The C-index of the nomogram was 0.790, which was statistically significantly greater than those for the current scoring systems in the derivation cohort (P < 0.001). The results were confirmed in the validation cohort. Conclusions: The proposed nomogram is more accurate in predicting the 90-day survival of patients with HBV-related ACLF than current commonly used methods.
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Affiliation(s)
- Jun-feng Chen
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wei-zhen Weng
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Miao Huang
- Department of Nursing, Guangzhou Red Cross Hospital, Fourth Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xiao-hua Peng
- Department of Gastroenterology, Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Jian-rong He
- Department of Obstetrics and Gynecology, Green Templeton College, University of Oxford, London, United Kingdom
| | - Jing Zhang
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jing Xiong
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shao-quan Zhang
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hui-juan Cao
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Bin Gao
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Deng-na Lin
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Juan Gao
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhi-liang Gao
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
| | - Bing-liang Lin
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Liver Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong, China
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Wu W, Sun S, Wang Y, Zhao R, Ren H, Li Z, Zhao H, Zhang Y, Sheng J, Chen Z, Shi Y. Circulating Neutrophil Dysfunction in HBV-Related Acute-on-Chronic Liver Failure. Front Immunol 2021; 12:620365. [PMID: 33717119 PMCID: PMC7947208 DOI: 10.3389/fimmu.2021.620365] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/18/2021] [Indexed: 12/14/2022] Open
Abstract
Background and Aims Acute-on-chronic liver failure (ACLF) is characterized by systemic inflammation accompanied by defective anti-bacterial immunity. The role of neutrophils in immune derangement of ACLF has not been fully elucidated. This study is aimed to characterize the role of circulating neutrophils in HBV-related ACLF patients. Methods Quantitative, phenotypic, transcriptomic, and functional alterations of circulating neutrophils were compared in ACLF and non-ACLF subjects and analyzed for associations with short-term outcomes. Interventional experiments were performed to test the impact on ACLF-patient neutrophil function in vitro. Results Circulating absolute neutrophil count was significantly increased in patients with ACLF and was an independent risk factor for 28-day mortality. ACLF-patient neutrophils differentially expressed a panel of surface markers (include TLR-1, TLR-2, TLR-4, CEACAM-1 and FPR1), as well as a distinct transcriptomic signature. ACLF-neutrophils displayed significantly impaired phagocytosis but an increased capacity to form neutrophil extracellular traps (NETs), which was more pronounced in patients with poor outcome. Healthy neutrophils mimicked functional characteristics of ACLF counterpart after co-cultured with plasma from ACLF patients. The oxidative burst and cytokine production capacities remained unchanged. Plasma GM-CSF, IL-6, IL-8, IL-10, and IP-10 levels, as well as lipopolysaccharide (LPS) concentration, were markedly elevated in ACLF patients but not DAMP molecules HMGB-1 and HSP70. Finally, a glycolysis inhibitor, 2-deoxy-glucose, reduced NET formation of ACLF patients’ neutrophils. Conclusions Circulating ACLF-patient neutrophils exhibit alterations in number, phenotype, gene expression and function, which was associated with poor outcome and shaped by the ACLF circulatory environment. Inhibiting glycolysis can reverse neutrophil dysfunction in ACLF patients.
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Affiliation(s)
- Wei Wu
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Shanshan Sun
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Yijie Wang
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Ruihong Zhao
- 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, Zhejiang University School of Medicine, Hangzhou, 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhiwei Li
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University Cytometry, Hangzhou, China
| | - Hong Zhao
- 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, 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, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhi Chen
- 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, Zhejiang University School of Medicine, Hangzhou, 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, Zhejiang University School of Medicine, Hangzhou, China
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7
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Xiao C, Gong J, Zhu S, Zhang Z, Xi S, Chong Y, Jie Y, Zhang Q. Nomogram based on blood lipoprotein for estimation of mortality in patients with hepatitis B virus-related acute-on-chronic liver failure. BMC Gastroenterol 2020; 20:188. [PMID: 32539733 PMCID: PMC7294630 DOI: 10.1186/s12876-020-01324-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 06/01/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Acute-on-chronic liver failure (ACLF) is a clinic syndrome with substantial high short-term mortality. It is very important to stratify patients according to prognosis to decide management strategy. This study aimed to formulate and validate a nomogram model based on blood lipoprotein for prediction of 3-month mortality in patients with hepatitis B virus (HBV)-related ACLF. METHODS Data on 393 consecutive patients who were diagnosed as HBV-related ACLF at the Third Affiliated Hospital of Sun Yat-sen University between June 1, 2013, and February 1, 2015, were prospectively collected. Of these, 260 patients who were collected in an earlier period formed the training cohort for the development of nomogram, while 133 patients who were collected thereafter formed the validation cohort for confirming the performance of nomogram. RESULTS Multivariate analysis showed that low density lipoprotein cholesterol (LDL-C), age, prothrombin time, and creatinine were independently associated with 3-month mortality of patients with HBV-related ACLF. Kaplan-Meier survival analysis revealed that the high LDL-C (LDL-C ≥ 1.0 mmol/L, cut-off value) was significantly associated with elevated overall survival (P < 0.001). All independent factors for survival were selected into the nomogram. The calibration plot for the probability of survival showed good agreement between prediction by nomogram and actual observation. CONCLUSION This study highlighted that reduction of serum LDL-C level was an independent risk factor for the survival in patients with HBV-related ACLF, and the nomogram based on serum LDL-C was an accurate and practical model for predicting the 3-month mortality in patients with this disease.
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Affiliation(s)
- Cuicui Xiao
- Cell-gene Therapy Translational Medicine Research Center, Key Laboratory of Liver Disease of Guangdong Province, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jiao Gong
- Department of Laboratory Medicine, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Shuguang Zhu
- Department of Hepatic Surgery and Liver Transplantation Center, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Zhiwei Zhang
- Department of Infectious Diseases, Key Laboratory of Liver Disease of Guangdong Province, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Sujuan Xi
- Department of Infectious Diseases, Key Laboratory of Liver Disease of Guangdong Province, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Yutian Chong
- Department of Infectious Diseases, Key Laboratory of Liver Disease of Guangdong Province, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Yusheng Jie
- Department of Infectious Diseases, Key Laboratory of Liver Disease of Guangdong Province, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
| | - Qi Zhang
- Cell-gene Therapy Translational Medicine Research Center, Key Laboratory of Liver Disease of Guangdong Province, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
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Wang L, Wan G, Shen Y, Zhao Z, Lin L, Zhang W, Song R, Tian D, Wen J, Zhao Y, Yu X, Liu L, Feng Y, Liu Y, Qiang C, Duan J, Ma Y, Liu Y, Liu Y, Chen C, Ge Z, Li X, Chen Z, Fan T, Li W. A nomogram to predict mortality in patients with severe fever with thrombocytopenia syndrome at the early stage-A multicenter study in China. PLoS Negl Trop Dis 2019; 13:e0007829. [PMID: 31765414 PMCID: PMC6934327 DOI: 10.1371/journal.pntd.0007829] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 12/27/2019] [Accepted: 10/04/2019] [Indexed: 12/26/2022] Open
Abstract
Background Severe fever with thrombocytopenia syndrome (SFTS) caused by the SFTS virus is an emerging infectious disease that was first identified in the rural areas of China in 2011. Severe cases often result in death due to multiple organ failure. To date, there are still numerous problems remain unresolved in SFTS, including unclear pathogenesis, lack of specific treatment, and no effective vaccines available. Aim To analyze the clinical information of patients with early-stage SFTS and to establish a nomogram for the mortality risk. Methods Between April 2011 and December 2018, data on consecutive patients who were diagnosed with SFTS were prospectively collected from five medical centers distributed in central and northeastern China. Multivariable Cox analyses were used to identify the factors independently associated with mortality. A nomogram for mortality was established using those factors. Results During the study period, 429 consecutive patients were diagnosed with SFTS at the early stage of the disease (within 7 days of fever), among whom 69 (16.1%) died within 28 days. The multivariable Cox proportional hazard regression analysis showed that low lymphocyte percentage, early-stage encephalopathy, and elevated concentration of serum LDH and BUN were independent risk factors for fatal outcomes. Received-operating characteristic curves for 7-, 14-, and 28-days survival had AUCs of 0.944 (95% CI: 0.920–0.968), 0.924 (95% CI: 0.896–0.953), and 0.924 (95% CI: 0.895–0.952), respectively. Among low-risk patients, 6 patients died (2.2%). Among moderate-risk patients, 25 patients died (24.0%, hazard ratio (HR) = 11.957). Among high-risk patients, the mortality rate was 69.1% (HR = 57.768). Conclusion We established a simple and practical clinical scoring system, through which we can identify critically ill patients and provide intensive medical intervention for patients as soon as possible to reduce mortality. We established a SFTS nomogram scoring system, which is the first nomogram for this disease. According to this nomogram, patients were divided into three levels of mortality risk: low, moderate, and high. This scoring system is helpful to identify critically ill patients, allowing for early intervention and intensive care, which may contribute to reducing the mortality of SFTS.
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Affiliation(s)
- Lin Wang
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Gang Wan
- Statistics Room, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yi Shen
- Department of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China
| | - Zhenghua Zhao
- Department of Infectious Disease, Taian City Central Hospital, Taian, China
| | - Ling Lin
- Department of Infectious Disease, Yantai City Hospital for Infectious Disease, Yantai, China
| | - Wei Zhang
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Rui Song
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Di Tian
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Jing Wen
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yongxiang Zhao
- Department of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China
| | - Xiaoli Yu
- Department of Infectious Diseases, Dandong Infectious Disease Hospital, Dandong, China
| | - Li Liu
- Department of Infectious Disease, Taian City Central Hospital, Taian, China
| | - Yang Feng
- Department of Infectious Disease, Taian City Central Hospital, Taian, China
| | - Yuanni Liu
- Department of Infectious Disease, Yantai City Hospital for Infectious Disease, Yantai, China
| | - Chunqian Qiang
- Department of Infectious Disease, Yantai City Hospital for Infectious Disease, Yantai, China
| | - Jianping Duan
- Department of Infectious Disease, Qing Dao No. 6 People's Hospital, Qingdao, China
| | - Yanli Ma
- Department of Infectious Disease, Qing Dao No. 6 People's Hospital, Qingdao, China
| | - Ying Liu
- Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yanan Liu
- Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Chong Chen
- Graduate School of Capital Medical University, Beijing, China
| | - Ziruo Ge
- Graduate School of Capital Medical University, Beijing, China
| | - Xingwang Li
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhihai Chen
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Tianli Fan
- Department of Infectious Disease, Qing Dao No. 6 People's Hospital, Qingdao, China
| | - Wei Li
- Interventional Therapy Oncology, Beijing Ditan Hospital, Capital Medical University, Beijing, China
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9
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Mao W, Wu J. Haematologic indices in hepatitis B virus-related liver disease. Clin Chim Acta 2019; 500:135-142. [PMID: 31654630 DOI: 10.1016/j.cca.2019.10.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 10/05/2019] [Accepted: 10/07/2019] [Indexed: 02/07/2023]
Abstract
Several markers and prognostic scores have been identified for predicting the development and progression of liver disease; among them, haematological parameters (the neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), red cell distribution width (RDW), RDW to platelet ratio (RPR), mean platelet volume (MPV), and mean corpuscular volume (MCV)) have recently gained significant interest. Compared with traditional prognostic factors, haematological indices are easy to obtain and relatively inexpensive. There is growing evidence that these haematological indices play a key role in HBV-related liver diseases and has been proposed as a predictive marker of adverse outcomes in these patients. This article focuses on discussing the diagnostic and prognostic value of the haematological indices in patients with HBV-related liver diseases.
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Affiliation(s)
- WeiLin Mao
- Department of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, PR China
| | - JianPing Wu
- Department of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, PR China.
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10
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Wu J, Zhang X, Liu H, Guo N, Pan Q, Wang Y. RDW, NLR and RLR in predicting liver failure and prognosis in patients with hepatitis E virus infection. Clin Biochem 2019; 63:24-31. [PMID: 30502317 DOI: 10.1016/j.clinbiochem.2018.11.012] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 10/24/2018] [Accepted: 11/28/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Hepatitis E virus (HEV) infection contributes to substantial proportion of acute liver injury. This study aims to evaluate the ability of red cell distribution width (RDW), neutrophil to lymphocyte ratio (NLR) and RDW to lymphocyte ratio (RLR) in predicating the development of liver failure following HEV infection and the prognosis. METHODS 93 healthy controls, 152 current/recent HEV infected patients without liver failure (HEV-non-LF) and 62 HEV patients who developed liver failure (HEV-LF) were enrolled in the study. The clinical and laboratory characteristics on admission, including RDW, neutrophil, lymphocyte, were recorded. Additional 24 HEV-LF patients and 24 HEV-non-LF patients were enrolled to validate the diagnostic efficacy of the three parameters. RESULTS RDW, NLR and RLR were higher in HEV patients developing liver failure, compared with HEV-non-LF patients. Positive associations of increased RDW, RLR, NLR and incidence of liver failure were found. The AUC of RLR for predicting HEV-related liver failure was 0.74, superior to NLR and RDW. The sensitivity and specificity of RLR for predicting HEV-related liver failure were 0.74 and 0.65 respectively, superior to NLR (0.66, 0.70) and RDW (0.58, 0.67). However, no correlation between any of the three parameters and prognosis of HEV-LF was found. In addition, the three parameters were correlated with ALB, TBIL and Child-Pugh score in HEV-non-LF subjects, other than in HEV-LF patients. CONCLUSION RDW, NLR and RLR are capable to predicate the development of liver failure in HEV patients, among which RLR showed the best sensitivity and specificity. These routinely available parameters shall be considered as new preliminarily diagnostic markers for fulminant hepatic damage in HEV patients.
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Affiliation(s)
- Jian Wu
- Department of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng 224005, Jiangsu, China; Department of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Rotterdam, 3015CE, the Netherlands
| | - Xueyan Zhang
- Department of Public Health, Jiangsu Vocational College of Medicine, Yancheng 224006, Jiangsu, China
| | - Hongyang Liu
- Department of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Rotterdam, 3015CE, the Netherlands
| | - Naizhou Guo
- Department of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng 224005, Jiangsu, China
| | - Qiuwei Pan
- Department of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Rotterdam, 3015CE, the Netherlands
| | - Yijin Wang
- Department of Pathology and Hepatology, Beijing 302 Hospital, Beijing, China.
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11
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Low Platelet to White Blood Cell Ratio Indicates Poor Prognosis for Acute-On-Chronic Liver Failure. BIOMED RESEARCH INTERNATIONAL 2018; 2018:7394904. [PMID: 29854786 PMCID: PMC5964479 DOI: 10.1155/2018/7394904] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 03/13/2018] [Accepted: 04/02/2018] [Indexed: 02/07/2023]
Abstract
Background. Platelet to white blood cell ratio (PWR) was an independent prognostic predictor for outcomes in some diseases. However, the prognostic role of PWR is still unclear in patients with hepatitis B related acute-on-chronic liver failure (ACLF). In this study, we evaluated the clinical performances of PWR in predicting prognosis in HBV-related ACLF. Methods. A total of 530 subjects were recruited, including 97 healthy controls and 433 with HBV-related ACLF. Liver function, prothrombin time activity (PTA), international normalized ratio (INR), HBV DNA measurement, and routine hematological testing were performed at admission. Results. At baseline, PWR in patients with HBV-related ACLF (14.03 ± 7.17) was significantly decreased compared to those in healthy controls (39.16 ± 9.80). Reduced PWR values were clinically associated with the severity of liver disease and the increased mortality rate. Furthermore, PWR may be an inexpensive, easily accessible, and significant independent prognostic index for mortality on multivariate analysis (HR = 0.660, 95% CI: 0.438-0.996, p = 0.048) as well as model for end-stage liver disease (MELD) score. Conclusions. The PWR values were markedly decreased in ACLF patients compared with healthy controls and associated with severe liver disease. Moreover, PWR was an independent prognostic indicator for the mortality rate in patients with ACLF. This investigation highlights that PWR comprised a useful biomarker for prediction of liver severity.
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