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Hu C. Nomogram: A better method for evaluating MVD risk. Int J Cardiol 2024; 411:132283. [PMID: 38906422 DOI: 10.1016/j.ijcard.2024.132283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/14/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024]
Affiliation(s)
- Chunsong Hu
- Department of Cardiovascular Medicine, Nanchang University, Hospital of Nanchang University, Jiangxi Academy of Medical Science, No. 461 Bayi Ave, Nanchang 330006, Jiangxi, China.
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Ding X, Liu J, Chen X, Zhang XH. Exploring the mechanism of luteolin improving immune and inflammatory responses in systemic sclerosis based on systems biology and cell experiments. Int Immunopharmacol 2024; 138:112587. [PMID: 38972211 DOI: 10.1016/j.intimp.2024.112587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 06/13/2024] [Accepted: 06/26/2024] [Indexed: 07/09/2024]
Abstract
There is a growing trend of applying traditional Chinese medicine (TCM) to treat immune diseases. This study reveals the possible mechanism of luteolin, an active ingredient in the core prescription of TCM, in alleviating systemic sclerosis (SSc) inflammation. Bibliometrics was performed to retrieve the core keywords of SSc inflammation. The key inflammatory indicators in the serum samples of 50 SSc patients were detected by ELISA. Data mining was applied for correlation analysis, association rule analysis, and binary logistic regression analysis on the clinical indicators and medication of 50 SSc patients before and after treatment to determine the core prescription. Network pharmacology was used for identifying candidate genes and pathways; molecular docking was conducted to determine the core monomer components of the prescription, providing a basis for subsequent in vitro molecular mechanism research. The effect of luteolin on SSc-human dermal fibroblasts (HDF) viability and inflammatory factors was evaluated by means of ELISA, RT-PCR, and Western blot. The role of TNF in inflammation was explored by using a TNF overexpression vector, NF-κB inhibitor (PKM2), and SSc-HDF. The involvement of TNF/NF-κB pathway was validated by RT-PCR, Western blot, and immunofluorescence. TCM treatment partially corrected the inflammatory changes in SSc patients, indicating its anti-inflammatory effects in the body. Atractylodes, Yam, Astragalus root, Poria cocos, Pinellia ternata, Salvia miltiorrhiza, Safflower, Cassia twig, and Angelica were identified as the core prescriptions for improving inflammatory indicators. Luteolin was the main active ingredient in the prescription and showed a strong binding energy with TNF and NF-κB. Luteolin exerted anti-inflammatory effects in vitro by reducing inflammatory cytokines in SSc-HDF and inhibiting the activation of TNF/NF-κB. Mechanistically, luteolin inhibited the activation of the TNF/NF-κB pathway in SSc-HDF, as manifested by an increase in extranuclear p-P65 and TNF but a decrease in intranuclear p-P65. Interestingly, the addition of PKM2 augmented the therapeutic function of luteolin against inflammation in SSc-HDF. Our study showed the TCM alleviates the inflammatory response of SSc by inhibiting the activation of the TNF/NF-κB pathway and is an effective therapeutic agent for the treatment of SSc.
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Affiliation(s)
- Xiang Ding
- First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230031, PR China; Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China
| | - Jian Liu
- Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China; Institute of Rheumatology, Anhui University of Chinese Medicine, Hefei, Anhui 230012, PR China.
| | - Xiaolu Chen
- First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230031, PR China; Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China
| | - Xian-Heng Zhang
- First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230031, PR China; Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China
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Ahmadirad H, Pourghadamyari H, Hadizadeh M, Ali-Kheyl M, Eslami O, Afgar A, Sayadi AR, Mahmoodi M, Kesharwani P, Sahebkar A. Differential expression of long non-coding RNAs in colon cancer: Insights from transcriptomic analysis. Pathol Res Pract 2024; 261:155477. [PMID: 39067175 DOI: 10.1016/j.prp.2024.155477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 06/11/2024] [Accepted: 07/16/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Colon Cancer (CC) incidence has sharply grown in recent years. Long non-coding RNAs (lncRNA) are produced by a group of non-protein-coding genes, and have important functions in controlling gene expression and impacting the biological features of various malignancies including CC. METHODS Our research focused on examining the function of lncRNAs in the development of colon cancer. To this end, we selected and analyzed a dataset (GSE104836) from the GEO database, which contained information about the expression of mRNAs and lncRNAs in both colon cancer tissues and normal adjacent paired tumor tissues. The DESeq2 R package in Bioconductor was used to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) that showed differences in expression levels. Next, by literature review of previous studies, we chose two lncRNAs (FENDRR and LINC00092) for additional studies. To validate our findings, a series of tests were performed on a total of 31 tumor tissues and normal paired adjacent tumor tissues. The lncRNA expression levels were assessed in tumor tissues as well as in surrounding normal tumor tissues. RESULTS The data confirmed that just two particular lncRNAs, FENDRR and LINC00092, had considerably decreased expression levels throughout all stages of cancer. In addition, the survival assay was conducted using the GEPIA2 software, revealing that a reduced expression of FENDRR is correlated with a reduced overall survival. Furthermore, our investigation using receiver operating characteristic (ROC) methodology revealed that these two lncRNAs had significant discriminatory ability between colon cancer and normal tissues. To determine the cause of the decrease in the activity of these two long non-coding RNAs (lncRNAs), we used methylation-specific PCR (MSP) to examine the methylation pattern of their promoter regions. Our investigation revealed hypermethylation in the promoter regions of FENDRR and LINC00092 within tumor tissues compared to normal adjacent tumor tissues. CONCLUSION Taken together, our findings revealed the lncRNAs signatures as potential therapeutic targets and molecular diagnostic biomarkers in colon cancer. Furthermore, the evidence provided substantiates the important role of promoter methylation in regulating the expression levels for both of these lncRNAs.
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Affiliation(s)
- Hadis Ahmadirad
- Department of Clinical Biochemistry, Afzalipour School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Hossein Pourghadamyari
- Department of Clinical Biochemistry, Afzalipour School of Medicine, Kerman University of Medical Sciences, Kerman, Iran; Applied Cellular and Molecular Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Morteza Hadizadeh
- Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Masoud Ali-Kheyl
- Department of Clinical Biochemistry, Afzalipour School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Omid Eslami
- Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | - Ali Afgar
- Research Center for Hydatid Disease in Iran, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Ahmadreza Reza Sayadi
- Social Determinants of Health Research Center, Department of Psychiatric Nursing, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Mehdi Mahmoodi
- Department of Clinical Biochemistry, Afzalipour School of Medicine, Kerman University of Medical Sciences, Kerman, Iran; Molecular Medicine Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Science, Rafsanjan, Iran.
| | - Prashant Kesharwani
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India
| | - Amirhossein Sahebkar
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Applied Biomeical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Huang JN, Yu H, Xia X, Ming WK, Wu S, Cheng LN, ALice Yu Ying L, Zhang J, Jiang Y, Chen W, Zhao Q, Lyu J, Deng L. High cardiovascular mortality risk among older merkel cell carcinoma patients. BMC Geriatr 2024; 24:670. [PMID: 39123101 PMCID: PMC11312700 DOI: 10.1186/s12877-024-05222-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 07/15/2024] [Indexed: 08/12/2024] Open
Abstract
OBJECTIVE Previous research has primarily focused on the incidence and mortality rates of Merkel cell carcinoma (MCC), neglecting the examination of cardiovascular mortality (CVM) risk among survivors, particularly older patients. This study aims to assess the risk of CVM in older individuals diagnosed with MCC. METHODS Data pertaining to older MCC patients were obtained from the Surveillance, Epidemiology, and End Results database (SEER). CVM risk was measured using standardized mortality ratio (SMR) and cumulative mortality. Multivariate Fine-Gray's competing risk model was utilized to evaluate the risk factors contributing to CVM. RESULTS Among the study population of 2,899 MCC patients, 465 (16.0%) experienced CVM during the follow-up period. With the prolongation of the follow-up duration, the cumulative mortality rate for CVM reached 27.36%, indicating that cardiovascular disease (CVD) became the second most common cause of death. MCC patients exhibited a higher CVM risk compared to the general population (SMR: 1.69; 95% CI: 1.54-1.86, p < 0.05). Notably, the SMR for other diseases of arteries, arterioles, and capillaries displayed the most significant elevation (SMR: 2.69; 95% CI: 1.16-5.29, p < 0.05). Furthermore, age at diagnosis and disease stage were identified as primary risk factors for CVM, whereas undergoing chemotherapy or radiation demonstrated a protective effect. CONCLUSION This study emphasizes the significance of CVM as a competing cause of death in older individuals with MCC. MCC patients face a heightened risk of CVM compared to the general population. It is crucial to prioritize cardiovascular health starting from the time of diagnosis and implement personalized CVD monitoring and supportive interventions for MCC patients at high risk. These measures are essential for enhancing survival outcomes.
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Affiliation(s)
- Jia-Nan Huang
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
- Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, 517000, China
| | - Hai Yu
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
| | - Xichun Xia
- Institute of Biomedical Transformation, Jinan University, Guangzhou, China
- Department of Dermatology, Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai, China
| | - Wai-Kit Ming
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China
| | - Shuai Wu
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
- Department of Meterials Science and Engineering, Jinan University, Guangzhou, China
| | - Leong Nga Cheng
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
- Department of Dermatology, Kiang wu hospital, Macau, Macau SAR, China
| | - Lee ALice Yu Ying
- Hong Kong Medical and Education Training Limited, Kowloon, Hong Kong SAR, China
| | - Jinrong Zhang
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
| | - Yuzhen Jiang
- Royal Free Hospital & University College London, London, UK
| | - Wenhui Chen
- Shanghai Aige Medical Beauty Clinic Co., Ltd.(Agge), Shanghai, China
| | - Qiqi Zhao
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China.
- Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, 517000, China.
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
| | - Liehua Deng
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China.
- Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, 517000, China.
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Liu P, Chen M, Zeng Q, Zhu Y, Li X, Wang X, Zhang M, Tao L, Hang J, Lu G, Li Y, Yu H. External validation of the iScore, ASTRAL score, DRAGON score, and THRIVE score and development of a nomogram to predict outcome in patients with large vessel occlusion-acute ischemic stroke. J Stroke Cerebrovasc Dis 2024; 33:107919. [PMID: 39127181 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107919] [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: 01/08/2024] [Revised: 07/12/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024] Open
Abstract
OBJECTIVE This study aimed to validate the iScore, ASTRAL score, DRAGON score, and THRIVE score for assessing large vessel occlusion-acute ischemic stroke (AIS-LVO) and establish a predictive model for AIS-LVO patients that has better performance to guide clinical practice. METHODS We retrospectively included 439 patients with AIS-LVO and collected baseline data from all of them. External validation of the iScore, ASTRAL score, DRAGON score, and THRIVE score was performed. All variables were compared between groups via univariate analysis, and the results are expressed as ORs and 95 % CIs. Independent variables with P < 0.25 were included in the multivariate logistic analysis, and statistically significant differences (P < 0.05) were identified as risk factors for prognosis in AIS-LVO patients. Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) were used to evaluate the predictive value of our model. RESULTS Our external validation resulted in an iScore under the curve (AUC) of 0.8475, an ASTRAL AUC of 0.8324, a DRAGON AUC of 0.8196, and a THRIVE AUC of 0.8039. In our research, multivariate Cox regression revealed 8 independent predictors. We used a nomogram to visualize the results of the data analysis. The AUC for the training cohort was 0.8855 (95 % CI, 0.8487-0.9222), and that in the validation cohort was 0.8992 (95 % CI, 0.8496-0. 9488). CONCLUSIONS In this study, we verified that the above scores have excellent efficacy in predicting the prognosis of AIS-LVO patients. The nomogram we developed was able to predict the prognosis of AIS-LVO more accurately and may contribute to personalized clinical decision-making and treatment for future clinical work.
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Affiliation(s)
- Peipei Liu
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China; Department of Neurology, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China
| | - Mingmei Chen
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China; The Yangzhou School of Clinical Medicine of Dalian Medical University, Yangzhou, 225001, China
| | - Qingping Zeng
- The Yangzhou University School of Nursing School of Public Health,Yangzhou, 225001, China
| | - Yan Zhu
- Department of Neurology, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China
| | - Xiang Li
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China
| | - Xuan Wang
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China
| | - Mengling Zhang
- Department of Neurology, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China
| | - Luhang Tao
- Department of Neurology, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China
| | - Jing Hang
- Department of Neurology, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China
| | - Guangyu Lu
- The Yangzhou University School of Nursing School of Public Health,Yangzhou, 225001, China
| | - Yuping Li
- Department of Neuro Intensive Care Unit, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China
| | - Hailong Yu
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China; Department of Neurology, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China; Department of Neuro Intensive Care Unit, Northern Jiangsu People' s Hospital, Yangzhou, 225001, China.
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Guo Y, Yu F, Jiang FF, Yin SJ, Jiang MH, Li YJ, Yang HY, Chen LR, Cai WK, He GH. Development and validation of novel interpretable survival prediction models based on drug exposures for severe heart failure during vulnerable period. J Transl Med 2024; 22:743. [PMID: 39107765 PMCID: PMC11302109 DOI: 10.1186/s12967-024-05544-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Severe heart failure (HF) has a higher mortality during vulnerable period while targeted predictive tools, especially based on drug exposures, to accurately assess its prognoses remain largely unexplored. Therefore, this study aimed to utilize drug information as the main predictor to develop and validate survival models for severe HF patients during this period. METHODS We extracted severe HF patients from the MIMIC-IV database (as training and internal validation cohorts) as well as from the MIMIC-III database and local hospital (as external validation cohorts). Three algorithms, including Cox proportional hazards model (CoxPH), random survival forest (RSF), and deep learning survival prediction (DeepSurv), were applied to incorporate the parameters (partial hospitalization information and exposure durations of drugs) for constructing survival prediction models. The model performance was assessed mainly using area under the receiver operator characteristic curve (AUC), brier score (BS), and decision curve analysis (DCA). The model interpretability was determined by the permutation importance and Shapley additive explanations values. RESULTS A total of 11,590 patients were included in this study. Among the 3 models, the CoxPH model ultimately included 10 variables, while RSF and DeepSurv models incorporated 24 variables, respectively. All of the 3 models achieved respectable performance metrics while the DeepSurv model exhibited the highest AUC values and relatively lower BS among these models. The DCA also verified that the DeepSurv model had the best clinical practicality. CONCLUSIONS The survival prediction tools established in this study can be applied to severe HF patients during vulnerable period by mainly inputting drug treatment duration, thus contributing to optimal clinical decisions prospectively.
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Affiliation(s)
- Yu Guo
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
- College of Pharmacy, Dali University, Dali, 671000, China
- Yunnan Baiyao Group Limited Ltd, Kunming, 650500, China
| | - Fang Yu
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
| | - Fang-Fang Jiang
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
- College of Pharmacy, Dali University, Dali, 671000, China
| | - Sun-Jun Yin
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
| | - Meng-Han Jiang
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
- College of Pharmacy, Dali University, Dali, 671000, China
| | - Ya-Jia Li
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
- College of Pharmacy, Dali University, Dali, 671000, China
| | - Hai-Ying Yang
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
- College of Pharmacy, Dali University, Dali, 671000, China
| | - Li-Rong Chen
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China
- College of Pharmacy, Dali University, Dali, 671000, China
| | - Wen-Ke Cai
- Department of Cardiothoracic Surgery, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China.
| | - Gong-Hao He
- Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, 212 Daguan Rd, Kunming, 650032, China.
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Su H, Xie S, Lyu J, Liu Y, Zhang Y. Secular trends in incidence and mortality of non-Hodgkin's lymphoma in China, 1990-2019, and predictions to 2030: Outlook for the future burden of disease. TUMORI JOURNAL 2024:3008916241261166. [PMID: 39096014 DOI: 10.1177/03008916241261166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
BACKGROUND The aim of this study was to analyze the trend of non-Hodgkin's lymphoma incidence and mortality in China from 1990 to 2019, along with assessing the effects of age, period, and cohort, as well as to predict future trends. MATERIAL AND METHODS Using data from the Global Burden of Disease Study 2019 we calculated the estimated annual percentage changes in the incidence and mortality of non-Hodgkin's lymphoma. Age-period-cohort analysis was used to assess the independent effects of these elements. Incidence and mortality until 2030 were predicted using a Bayesian age-period-cohort approach. RESULTS During 1990-2019, there was a significant increase in the age-standardized incidence and mortality rate in non-Hodgkin's lymphoma. Strong effects of birth cohort and period on non-Hodgkin's lymphoma incidence and mortality were observed. In terms of prediction, future non-Hodgkin's lymphoma incidence and mortality in China will continue to increase, while the mortality rate will decrease; for women, both the rates are projected to rise, but they will remain lower than men. CONCLUSIONS Currently, the non-Hodgkin's lymphoma burden is high in China, and it is expected to continue increasing in the future. Policymakers need to prioritize addressing the factors contributing to sex differences in disease burden, including variations in environmental exposures and lifestyles among men and women.
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Affiliation(s)
- Hongbo Su
- School of Physical Education, Shanxi University, No. 92, Wucheng Road, Taiyuan 030006, China
- Department of Breast Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, China
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Shuping Xie
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, China
| | - Yan Liu
- Department of Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yanbo Zhang
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
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Song L, Zhao F, Zhang L, Zhao Z, Jin L, Zhao Y, Zhao J. Analyzing risk factors for second malignancies in early gastric carcinoma from the SEER database. Sci Rep 2024; 14:17761. [PMID: 39085575 PMCID: PMC11291716 DOI: 10.1038/s41598-024-68776-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 07/29/2024] [Indexed: 08/02/2024] Open
Abstract
This retrospective study analyzed a large population of gastric cancer (GC) patients treated between 2010 and 2015 to investigate the clinical features and predictive risk factors for developing secondary primary malignancies (SPMs). The cumulative incidence of SPM was assessed using Kaplan-Meier analysis. Competing risk analyses adjusted for mortality were conducted using stratified Cox proportional hazard regression models and multivariate analyses to identify independent predictors of SPM. A total of 3289 out of 167,747 GC patients were included in the analytic cohort, with 155 patients diagnosed with SPM. Patients whose histologic type other than adenocarcinomas (AC) and signet ring cell carcinoma (SRCC) emerged as an independent risk factor for developing SPM (hazard ratio [HR] 2.262, 95% confidence interval [CI] 1.146-4.465, P = 0.019) in multivariate Cox regression analysis. The surgical method, including biopsy/local excision (HR 2.3, [CI] 1.291-4.095, P = 0.005) and subtotal/total resection ([HR] 1.947, [CI] 1.028-3.687, P = 0.041), chemotherapy ([HR] 1.527, [CI] 1.006-2.316, P = 0.047), and histologic type ([HR] 2.318, [CI] 1.193-4.504, P = 0.013)), were identified as independent risk factors in the competitive risk model. Subgroup analyses, stratified by chemotherapy, revealed an increased risk of SPM among older patients. Furthermore, a nomogram was developed and internally validated to predict the cumulative incidence of SPM in GC patients (C-index = 0.73 for 72 months). These findings suggested that in specific histologic types of GC, the lymph node infiltration region missed after local surgical resection, and concomitant chemotherapy would have an increased risk of SPM for cancer survivors.
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Affiliation(s)
- Lei Song
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, State Ethnic Affairs Commission, Northwest Minzu University, Lanzhou, China
- Health Science Center, Northwest Minzu University, Lanzhou, China
| | - Fei Zhao
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, State Ethnic Affairs Commission, Northwest Minzu University, Lanzhou, China
| | - Lijing Zhang
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, State Ethnic Affairs Commission, Northwest Minzu University, Lanzhou, China
| | - Zhifang Zhao
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, State Ethnic Affairs Commission, Northwest Minzu University, Lanzhou, China
| | - Long Jin
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, State Ethnic Affairs Commission, Northwest Minzu University, Lanzhou, China
| | - Yu Zhao
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, State Ethnic Affairs Commission, Northwest Minzu University, Lanzhou, China
| | - Jin Zhao
- Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas, State Ethnic Affairs Commission, Northwest Minzu University, Lanzhou, China.
- Health Science Center, Northwest Minzu University, Lanzhou, China.
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Huang T, Lu F. Prognostic nomogram for predicting the overall survival rate of patients with uterine clear-cell carcinoma: Based on SEER database. Int J Gynaecol Obstet 2024; 166:707-717. [PMID: 38444201 DOI: 10.1002/ijgo.15456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVE To evaluate the risk factors for uterine clear-cell carcinoma (UCCC) and construct nomograms predicting 1-, 3-, and 5-year overall survival rates of patients with UCCC. METHODS The demographic and clinical information of 1674 patients diagnosed with UCCC between 2004 and 2015, including age, race, marital status, tumor size, American Joint Committee on Cancer (AJCC) stage, and details of surgery and radiotherapy/chemotherapy, was collected from the Surveillance, Epidemiology, and End Results (SEER) database. After excluding patients with unknown AJCC stage, race, marital status, or lymph node information, 1469 patients remained. Risk factors were determined using univariate and multivariate analyses, and nomograms were developed to predict 1-, 3-, and 5-year overall survival of UCCC. Various indicators were used to evaluate the performance of the nomogram, such as the C-index, net classification improvement (NRI) and decision curve analysis (DCA). RESULTS Age, log odds of positive lymph nodes, AJCC stage, surgery status, and chemotherapy status were independent risk factors for UCCC. The C-indexes of the training group and AJCC stage groups were 0.771 and 0.697, respectively. The results for the area under the receiver operating characteristics curve, NRI, and calibration curves indicated that the nomogram had good predictive ability. DCA revealed that the nomogram had greater clinical applicability than AJCC stage alone. Internal validation using the validation cohort also demonstrated that this nomogram had good predictive performance. CONCLUSION A new nomogram comprising a combination of demographic and clinical characteristics provided better survival predictions than the AJCC staging system alone, which will facilitate prognostic assessments and clinical decision-making.
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Affiliation(s)
- Ting Huang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Fan Lu
- Emergency Department, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
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10
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Zheng S, He H, Zheng J, Zhu X, Lin N, Wu Q, Wei E, Weng C, Chen S, Huang X, Jian C, Guan S, Yang C. Machine learning-based screening and validation of liver metastasis-specific genes in colorectal cancer. Sci Rep 2024; 14:17679. [PMID: 39085446 PMCID: PMC11291988 DOI: 10.1038/s41598-024-68706-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 07/26/2024] [Indexed: 08/02/2024] Open
Abstract
Colorectal liver metastasis (CRLM) is challenging in the clinical treatment of colorectal cancer. Limited research has been conducted on how CRLM develops. RNA sequencing data were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Four machine learning algorithms were used to screen the hub CRLM-specific genes, including Least Absolute Shrinkage and Selection Operator (Lasso), Random forest, SVM-RFE, and XGboost. The model for identifying CRLM was developed using stepwise logistic regression and was validated using internal and independent datasets. The prognostic value of hub CRLM-specific genes was assessed using the Lasso-Cox method. The in vitro experiments were performed using SW620 cells. The CRLM identification model was developed based on four CRLM-specific genes (SPP1, ZG16, P2RY14, and PRKAR2B), and the model efficacy was validated using GSE41258 and three external cohorts. Five CRLM-specific prognostic hub genes, SPP1, ZG16, P2RY14, CYP2E1, and C5, were identified using the Lasso-Cox algorithm, and a risk score was constructed. The risk score was validated using the GSE39582 cohort. Three genes have both efficacy in identifying CRLM and prognostic value: ZG16, P2RY14, and SPP1. Immune infiltration and enrichment analyses demonstrated that SPP1 was associated with M2 macrophage polarization and extracellular matrix remodeling. In vitro experiments indicated that SPP1 may act as a cancer-promoting factor. The hub CRLM-specific gene SPP1 can help determine the diagnosis, prognosis, and immune infiltration of patients with CRLM.
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Affiliation(s)
- Shiyao Zheng
- Department of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Hongxin He
- Department of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Jianfeng Zheng
- Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Xingshu Zhu
- Department of General Surgery, 900TH Hospital of Joint Logistics Support Force, Fuzhou, 350025, People's Republic of China
| | - Nan Lin
- Department of General Surgery, 900TH Hospital of Joint Logistics Support Force, Fuzhou, 350025, People's Republic of China
- Fuzong Clinical Medical College of Fujian Medical University, Department of General Surgery, 900th Hospital of Joint Logistics Support Force, PLA, Fuzhou, 350025, People's Republic of China
| | - Qing Wu
- Department of Oncology, Molecular Oncology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, People's Republic of China
| | - Enhao Wei
- Department of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Caiming Weng
- Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, 350002, People's Republic of China
| | - Shuqian Chen
- Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China
| | - Xinxiang Huang
- Department of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Chenxing Jian
- School of Clinical Medicine, Fujian Medical University, Fuzhou, 350108, People's Republic of China.
- Department of Anorectal Surgery, Afliated Hospital of Putian University, Putian, 351106, People's Republic of China.
| | - Shen Guan
- Department of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China.
| | - Chunkang Yang
- Department of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China.
- Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, 350014, People's Republic of China.
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Hou S, Li L, Hou H, Zhou T, Zhou H. Establishment of nomogram to predict overall survival and cancer-specific survival of local tumor resection in patients with colorectal cancer liver metastasis with unresectable metastases: a large population-based analysis. Discov Oncol 2024; 15:315. [PMID: 39073708 PMCID: PMC11286894 DOI: 10.1007/s12672-024-01182-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 07/20/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND AND PURPOSE The tumour-node metastasis (TNM) classification is a common model for evaluating the prognostic value of tumour patients. However, few models have been used to predict the survival outcomes of patients with colorectal cancer liver metastasis (CRLM) with unresectable metastases who received the primary local surgery. Thus, we utilized the Surveillance, Epidemiology, and End Results (SEER) database to establish novel nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of these patients. METHODS Extracted primary data on CRLM patients by local surgery from SEER database. All prognostic factors of OS and CSS were determined by Cox regression analysis. The concordance index (C-index), receiver operating characteristic (ROC) curves and calibration curves were used to further evaluate the accuracy and discrimination of these nomograms. Decision curve analysis (DCA) was executed to evaluate the nomograms for the clinical net benefit. Risk stratification analysis (RSA) was used to evaluate the reliability of them in clinical. RESULTS 3622 eligible patients were screened and assigned to training cohort (1812) or validation cohort (1810). The age, chemotherapy, tumour grade, primary tumour site, tumour size, lymph node positive rate (LNR), marital status, and carcinoembryonic antigen (CEA) were independent prognostic factors of OS. Additionally, the age, chemotherapy, tumour grade, primary tumour site, tumour size, LNR, and CEA were independent prognostic factors of CSS. The results of C-indexes and ROC curves indicated that the established nomograms exhibited better discrimination power than TNM classification. The calibration curves demonstrated excellent agreement between the predicted and actual survival rates for 1-, 3-, and 5 year OS and CSS. Meanwhile, the validation cohort demonstrated similar results. Background the clinic context, the DCA showed that these nomograms have higher net benefits, and the RSA showed that patients were further divided into low risk, medium risk, and high risk groups according to the predicted scores from nomograms. And, the Kaplan-Meier curve and log-rank test showed that the survival differences among the three groups are statistically significant. CONCLUSIONS The prognostic nomograms showed very high accuracy, identifiability, and clinical practicality in predicting the OS and CSS of CRLM patients with unresectable metastases treated by local surgery at 1-, 3-, and 5 years, which might improve individualized predictions of survival risks and help clinicians formulate treatment plans.
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Affiliation(s)
- Songlin Hou
- The Second Department of Gastrointestinal Surgery, The Affiliated Hospital of North Sichuan Medical College, 1 Maoyuan South Road, Nanchong, 637000, Sichuan, People's Republic of China
- Institute of Hepatobiliary, Pancreatic and Intestinal Disease, North Sichuan Medical College, Nanchong, 637000, Sichuan, People's Republic of China
| | - Lifa Li
- The Second Department of Gastrointestinal Surgery, The Affiliated Hospital of North Sichuan Medical College, 1 Maoyuan South Road, Nanchong, 637000, Sichuan, People's Republic of China
- Institute of Hepatobiliary, Pancreatic and Intestinal Disease, North Sichuan Medical College, Nanchong, 637000, Sichuan, People's Republic of China
| | - Huafang Hou
- The Second Department of Gastrointestinal Surgery, The Affiliated Hospital of North Sichuan Medical College, 1 Maoyuan South Road, Nanchong, 637000, Sichuan, People's Republic of China
| | - Tong Zhou
- The Second Department of Gastrointestinal Surgery, The Affiliated Hospital of North Sichuan Medical College, 1 Maoyuan South Road, Nanchong, 637000, Sichuan, People's Republic of China
- Institute of Hepatobiliary, Pancreatic and Intestinal Disease, North Sichuan Medical College, Nanchong, 637000, Sichuan, People's Republic of China
| | - He Zhou
- The Second Department of Gastrointestinal Surgery, The Affiliated Hospital of North Sichuan Medical College, 1 Maoyuan South Road, Nanchong, 637000, Sichuan, People's Republic of China.
- Institute of Hepatobiliary, Pancreatic and Intestinal Disease, North Sichuan Medical College, Nanchong, 637000, Sichuan, People's Republic of China.
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Tang Y, Li X, Cheng H, Tan S, Ling Y, Ming WK, Lyu J. Braden score predicts 30-day mortality risk in patients with ischaemic stroke in the ICU: A retrospective analysis based on the MIMIC-IV database. Nurs Crit Care 2024. [PMID: 39030917 DOI: 10.1111/nicc.13125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/15/2024] [Accepted: 06/26/2024] [Indexed: 07/22/2024]
Abstract
BACKGROUND Ischaemic stroke remains a significant global health challenge, associated with high mortality rates. While the Braden Scale is traditionally employed to assess pressure ulcer risk, its potential to predict mortality among the intensive care unit (ICU) patients with ischaemic stroke has not been thoroughly investigated. AIM/S This study evaluates the predictive value of the Braden Scale for 30-day mortality among patients with ischaemic stroke admitted to ICU. STUDY DESIGN We conducted a retrospective analysis of 4710 adult patients with ischaemic stroke from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The association between the Braden Scale scores and 30-day mortality was assessed using receiver operating characteristic (ROC) curve analysis, Cox regression models and Kaplan-Meier survival estimates. RESULTS Patients with Braden Scale scores ≤ 15.5 showed significantly higher 30-day mortality rates (p-value < 0.001; hazard ratio (HR): 2.08, 95% confidence interval (CI): 1.71-2.53). The area under the ROC curve (AUC) was 0.71, demonstrating good predictive performance. Multivariate analysis confirmed the Braden Scale as an independent predictor of mortality, after adjusting for age, gender and comorbidities. CONCLUSIONS The Braden Scale effectively identifies high-risk ischaemic stroke patients in ICU settings, endorsing its integration into routine assessments to facilitate early intervention strategies. RELEVANCE TO CLINICAL PRACTICE Integrating the Braden Scale into routine ICU evaluations can enhance mortality risk stratification and improve patient care tailoring.
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Affiliation(s)
- Yonglan Tang
- School of Nursing, Jinan University, Guangzhou, China
| | - Xinya Li
- School of Nursing, Jinan University, Guangzhou, China
| | - Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, China
| | - Shanyuan Tan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Wai-Kit Ming
- Department of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Guangdong Provincial Department of Science and Technology, Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China
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Qiu Y, Li M, Song X, Li Z, Ma A, Meng Z, Li Y, Tan M. Predictive nomogram for 28-day mortality risk in mitral valve disorder patients in the intensive care unit: A comprehensive assessment from the MIMIC-III database. Int J Cardiol 2024; 407:132105. [PMID: 38677334 DOI: 10.1016/j.ijcard.2024.132105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/18/2024] [Accepted: 04/24/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Mitral valve disorder (MVD) stands as the most prevalent valvular heart disease. Presently, a comprehensive clinical index to predict mortality in MVD remains elusive. The aim of our study is to construct and assess a nomogram for predicting the 28-day mortality risk of MVD patients. METHODS Patients diagnosed with MVD were identified via ICD-9 code from the MIMIC-III database. Independent risk factors were identified utilizing the LASSO method and multivariate logistic regression to construct a nomogram model aimed at predicting the 28-day mortality risk. The nomogram's performance was assessed through various metrics including the area under the curve (AUC), calibration curves, Hosmer-Lemeshow test, integrated discriminant improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). RESULTS The study encompassed a total of 2771 patients diagnosed with MVD. Logistic regression analysis identified several independent risk factors: age, anion gap, creatinine, glucose, blood urea nitrogen level (BUN), urine output, systolic blood pressure (SBP), respiratory rate, saturation of peripheral oxygen (SpO2), Glasgow Coma Scale score (GCS), and metastatic cancer. These factors were found to independently influence the 28-day mortality risk among patients with MVD. The calibration curve demonstrated adequate calibration of the nomogram. Furthermore, the nomogram exhibited favorable discrimination in both the training and validation cohorts. The calculations of IDI, NRI, and DCA analyses demonstrate that the nomogram model provides a greater net benefit compared to the Simplified Acute Physiology Score II (SAPSII), Acute Physiology Score III (APSIII), and Sequential Organ Failure Assessment (SOFA) scoring systems. CONCLUSION This study successfully identified independent risk factors for 28-day mortality in patients with MVD. Additionally, a nomogram model was developed to predict mortality, offering potential assistance in enhancing the prognosis for MVD patients. It's helpful in persuading patients to receive early interventional catheterization treatment, for example, transcatheter mitral valve replacement (TMVR), transcatheter mitral valve implantation (TMVI).
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Affiliation(s)
- Yuxin Qiu
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Menglei Li
- College of Life Science and Technology, Jinan University, Guangzhou 510630, China
| | - Xiubao Song
- Department of Recovery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zihao Li
- Department of Pharmacy, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ao Ma
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhichao Meng
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanfei Li
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Minghui Tan
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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Zhou S, Wu S, Li Z, Wang X. Construction and Validation of Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Patients with Primary Anaplastic Oligodendroglioma. World Neurosurg 2024; 187:e472-e484. [PMID: 38677647 DOI: 10.1016/j.wneu.2024.04.111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/29/2024]
Abstract
OBJECTIVE Anaplastic oligodendroglioma (AOD) is a rare high-grade central nervous system tumor. The current research on prognostic prediction of AOD remains limited. This study aimed to identify prognostic factors and establish the nomograms to predict overall survival (OS) and cancer-specific survival (CSS) for patients with AOD. METHODS Patients diagnosed with AOD between 1992 and 2020 were extracted from the Surveillance, Epidemiology, and End Result database. We performed univariate and multivariate Cox regression analyses to identify independent prognostic factors based on the training group. Kaplan-Meier survival curves were used to compare the impact of various independent factors on patient prognosis. For OS and CSS, the nomograms were constructed and verified by the validation group. Harrell''s concordance index, receiver operating characteristic curves, calibration curves, and decision curve analyses were used to assess the discrimination, consistency, and clinical value of the nomograms. RESULTS A total of 1202 AOD patients were enrolled, being randomly divided into training (n = 841) and validation (n = 361) groups (7:3 ratio). Univariate and multivariate Cox analysis identified 4 significant independent factors (tumor site, age, surgery, and chemotherapy). For OS and CSS, Harrell''s concordance index were 0.731 (0.705-0.757) and 0.728 (0.701-0.754) in the training group, 0.688 (0.646-0.731) and 0.684 (0.639-0.729) in the validation group, respectively. Receiver operating characteristic curves and Calibration curves showed good discrimination and consistency, respectively. In addition, the decision curve analyses curves showed the nomograms have good clinical benefits. CONCLUSIONS We successfully established the nomograms to predict the OS and CSS for AOD patients. The nomograms showed good performance in prognostic prediction, assisting clinicians in evaluating patient prognosis and personalizing treatment plans.
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Affiliation(s)
- Shuoming Zhou
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shuaishuai Wu
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhaoming Li
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xiangyu Wang
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
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Ma W, Guo B. Construction of neural network model for exercise load monitoring based on yoga training data and rehabilitation therapy. Heliyon 2024; 10:e32679. [PMID: 38988578 PMCID: PMC11233948 DOI: 10.1016/j.heliyon.2024.e32679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 06/04/2024] [Accepted: 06/06/2024] [Indexed: 07/12/2024] Open
Abstract
The Internet of Things is based on the traditional Internet and its purpose is to achieve information exchange between users and devices, as well as between devices. The rapid development of sensor technology, communication network technology, and computer technology has enriched the coverage of the Internet of Things, including a wide range of intelligent applications such as healthcare, smart cities, and smart homes. The development of high-performance computing and machine learning technologies has promoted the wide application of intelligent auxiliary systems in sports medicine. With the rapid development of yoga in the field of sports, athletes can play the various functions of yoga, improve their physical strength and quality, and improve their strength, flexibility, etc., cultivate positive, optimistic, and healthy emotions, and these are conducive to rehabilitation treatment after sports injuries. Therefore, it is feasible and feasible to introduce yoga training into the monitoring of the exercise load of athletes. In this paper, neural network technology was used to break the traditional training method based on experience. Based on yoga training data, through experimental exercise research, it could explore a new effective way to monitor exercise load and rehabilitation treatment, and build an exercise load monitoring model of the Ant Colony Optimization (ACO) neural network. By sorting out the data, statistics and analysis of the data, this article confirmed the effect of yoga training on reducing fatigue after exercise. The experimental results showed that the prediction value obtained by the ACO neural network model was 9.106, and the error was only -0.003 compared to the actual detection value of 9.109. This result showed that the ACO neural network model can perfectly fit the functional relationship between yoga training level and exercise load and has high prediction accuracy. This also marked that the development of high-performance computing systems has entered a new journey in the field of sports and health.
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Affiliation(s)
- Wenhui Ma
- College of Physical Education, China Three Gorges University, Yichang, 443002, Hubei, China
- Graduate School, Philippine Christian University, Malate, Manila, 1004, Philippines
| | - Bin Guo
- School of Physical Education, DaLian University, DaLian, 116622, Liaoning, China
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Fan R, Li S, Xue Z, Yang R, Lyu J, He H. Age-specific differences in association of glycosylated hemoglobin levels with the prevalence of cardiovascular diseases among nondiabetics: the National Health and Nutrition Examination Survey 2005-2018. BMC Cardiovasc Disord 2024; 24:310. [PMID: 38898403 PMCID: PMC11186280 DOI: 10.1186/s12872-024-03978-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 06/14/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Previous research has supported the presence of an association between high glycated hemoglobin (HbA1c) levels and cardiovascular disease (CVD). The objective of the present study was to determine whether increased HbA1c levels are associated with high CVD prevalence among nondiabetics. Furthermore, we aimed to explore the possible interaction of HbA1c levels and age in regard to CVD. METHODS This cross-sectional study analyzed data of 28,534 adult participants in the National Health and Nutrition Examination Survey 2005-2018. The association between HbA1c and CVD was assessed using univariate and multivariate logistic regression models. Propensity score matching was used to reduce selection bias. Subgroup analysis and restricted cubic spline (RCS) were used to further characterize the association between HbA1c levels and CVD. We modeled additive interactions to further assess the relationship between HbA1c levels and age. RESULTS In the multivariate logistic regression model, a positive association was found between CVD and increased HbA1c levels (highest quartile [Q4] vs. lowest quartile [Q1]: odds ratio [OR] = 1.277, 95% confidence interval [CI] = 1.111-1.469, P = 0.001). In the stratified analyses, the adjusted association between HbA1c and CVD was significant for those younger than 55 years (Q4 vs. Q1: OR = 1.437, 95% CI = 1.099-1.880, P = 0.008). RCS did not reveal a nonlinear relationship between HbA1c levels and CVD among nondiabetics (P for nonlinearity = 0.609). Additionally, a high HbA1c level was favorably connected with old age on CVD, with a synergistic impact. CONCLUSIONS Increased HbA1c levels were associated with high CVD prevalence among nondiabetics. However, we still need to carefully explain the effect of age on the relationship between HbA1c and CVD in nondiabetic population. Given the correlations of HbA1c with CVDs and CV events, HbA1c might be a useful indicator for predicting CVDs and CV events in the nondiabetic population.
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Affiliation(s)
- Ruihan Fan
- Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Shuna Li
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Tianhe District, 613 W. Huangpu Avenue, Guangzhou, Guangdong, 510632, People's Republic of China
| | - Zihan Xue
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Ruida Yang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Tianhe District, 613 W. Huangpu Avenue, Guangzhou, Guangdong, 510632, People's Republic of China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, China.
| | - Hairong He
- Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
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Cheng H, Ling Y, Li Q, Li X, Tang Y, Guo J, Li J, Wang Z, Ming W, Lyu J. Association between modified frailty index and postoperative delirium in patients after cardiac surgery: A cohort study of 2080 older adults. CNS Neurosci Ther 2024; 30:e14762. [PMID: 38924691 PMCID: PMC11199331 DOI: 10.1111/cns.14762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 06/28/2024] Open
Abstract
AIM To evaluate the association between frailty and postoperative delirium (POD) in elderly cardiac surgery patients. METHODS A retrospective study was conducted of older patients admitted to the intensive care unit after cardiac surgery at a tertiary academic medical center in Boston from 2008 to 2019. Frailty was measured using the Modified Frailty Index (MFI), which categorized patients into frail (MFI ≥3) and non-frail (MFI = 0-2) groups. Delirium was identified using the confusion assessment method for the intensive care unit and nursing notes. Logistic regression models were used to examine the association between frailty and POD, and odds ratios (OR) with 95% confidence intervals (CI) were calculated. RESULTS Of the 2080 patients included (median age approximately 74 years, 30.9% female), 614 were frail and 1466 were non-frail. The incidence of delirium was significantly higher in the frail group (29.2% vs. 16.4%, p < 0.05). After adjustment for age, sex, race, marital status, Acute Physiology Score III (APSIII), sequential organ failure assessment (SOFA), albumin, creatinine, hemoglobin, white blood cell count, type of surgery, alcohol use, smoking, cerebrovascular disease, use of benzodiazepines, and mechanical ventilation, multivariate logistic regression indicated a significantly increased risk of delirium in frail patients (adjusted OR: 1.61, 95% CI: 1.23-2.10, p < 0.001, E-value: 1.85). CONCLUSIONS Frailty is an independent risk factor for POD in older patients after cardiac surgery. Further research should focus on frailty assessment and tailored interventions to improve outcomes.
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Affiliation(s)
- Hongtao Cheng
- School of NursingJinan UniversityGuangzhouChina
- Department of Clinical ResearchThe First Affiliated Hospital of Jinan UniversityGuangzhouChina
| | - Yitong Ling
- Department of NeurologyThe First Affiliated Hospital of Jinan UniversityGuangzhouChina
| | - Qiugui Li
- School of NursingJinan UniversityGuangzhouChina
| | - Xinya Li
- School of NursingJinan UniversityGuangzhouChina
| | | | - Jiayu Guo
- School of Public HealthShanxi University of Chinese MedicineXianyangChina
| | - Jing Li
- School of Public HealthShanxi University of Chinese MedicineXianyangChina
| | - Zichen Wang
- Department of Clinical ResearchThe First Affiliated Hospital of Jinan UniversityGuangzhouChina
| | - Wai‐kit Ming
- Department of Infectious Diseases and Public HealthCity University of Hong KongHong KongChina
| | - Jun Lyu
- Department of Clinical ResearchThe First Affiliated Hospital of Jinan UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine InformatizationGuangzhouChina
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Cheng H, Ling Y, Li Q, Tang Y, Li X, Liang X, Huang X, Su L, Lyu J. ICU admission Braden score independently predicts delirium in critically ill patients with ischemic stroke. Intensive Crit Care Nurs 2024; 82:103626. [PMID: 38219301 DOI: 10.1016/j.iccn.2024.103626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 12/08/2023] [Accepted: 01/05/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Delirium is a common and severe complication in intensive care unit (ICU) patients with acute ischemic stroke, exacerbating cognitive and physical impairments. It prolongs hospitalization, increases healthcare costs, and raises mortality risk. Early prediction is crucial because it facilitates prompt interventions that could possibly reverse or alleviate the detrimental consequences of delirium. Braden scores, traditionally used to assess pressure injury risk, could also signal frailty, providing an early warning of delirium and aiding in prompt and effective patient management. OBJECTIVE To examine the association between the Braden score and delirium. METHODS A retrospective analysis of adult ischemic stroke patients in the ICU of a tertiary academic medical center in Boston from 2008 to 2019 was performed. Braden scores were obtained on admission for each patient. Delirium, the primary study outcome, was assessed using the Confusion Assessment Method for Intensive Care Unit and a review of nursing notes. The association between Braden score and delirium was determined using Cox proportional hazards modeling, with hazard ratios (HR) and 95% confidence intervals (CI) calculated. RESULTS The study included 3,680 patients with a median age of 72 years, of whom 1,798 were women (48.9 %). The median Braden score at ICU admission was 15 (interquartile range 13-17). After adjustment for demographics, laboratory tests, severity of illness, and comorbidities, the Braden score was inversely associated with the risk of delirium (adjusted HR: 0.94, 95 % CI: 0.92-0.96, P < 0.001). CONCLUSIONS The Braden score may serve as a convenient and simple screening tool to identify the risk of delirium in ICU patients with ischemic stroke. IMPLICATION FOR CLINICAL PRACTICE The use of the Braden score as a predictor of delirium in ischemic stroke patients in the ICU allows early identification of high-risk patients. This facilitates timely intervention, thereby improving patient outcomes and potentially reducing healthcare costs.
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Affiliation(s)
- Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, China; Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qiugui Li
- School of Nursing, Jinan University, Guangzhou, China
| | - Yonglan Tang
- School of Nursing, Jinan University, Guangzhou, China
| | - Xinya Li
- School of Nursing, Jinan University, Guangzhou, China
| | - Xin Liang
- School of Nursing, Jinan University, Guangzhou, China
| | - Xiaxuan Huang
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ling Su
- College of Pharmacy, Jinan University, Guangzhou, China.
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China; Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
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Cheng H, Huang X, Yuan S, Song S, Tang Y, Ling Y, Tan S, Wang Z, Zhou F, Lyu J. Can admission Braden skin score predict delirium in older adults in the intensive care unit? Results from a multicenter study. J Clin Nurs 2024; 33:2209-2225. [PMID: 38071493 DOI: 10.1111/jocn.16962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 04/23/2024]
Abstract
AIMS AND OBJECTIVES To investigate whether a low Braden Skin Score (BSS), reflecting an increased risk of pressure injury, could predict the risk of delirium in older patients in the intensive care unit (ICU). BACKGROUND Delirium, a common acute encephalopathy syndrome in older ICU patients, is associated with prolonged hospital stay, long-term cognitive impairment and increased mortality. However, few studies have explored the relationship between BSS and delirium. DESIGN Multicenter cohort study. METHODS The study included 24,123 older adults from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and 1090 older adults from the eICU Collaborative Research Database (eICU-CRD), all of whom had a record of BSS on admission to the ICU. We used structured query language to extract relevant data from the electronic health records. Delirium, the primary outcome, was primarily diagnosed by the Confusion Assessment Method for the ICU or the Intensive Care Delirium Screening Checklist. Logistic regression models were used to validate the association between BSS and outcome. A STROBE checklist was the reporting guide for this study. RESULTS The median age within the MIMIC-IV and eICU-CRD databases was approximately 77 and 75 years, respectively, with 11,195 (46.4%) and 524 (48.1%) being female. The median BSS at enrollment in both databases was 15 (interquartile range: 13, 17). Multivariate logistic regression showed a negative association between BSS on ICU admission and the prevalence of delirium. Similar patterns were found in the eICU-CRD database. CONCLUSIONS This study found a significant negative relationship between ICU admission BSS and the prevalence of delirium in older patients. RELEVANCE TO CLINICAL PRACTICE The BSS, which is simple and accessible, may reflect the health and frailty of older patients. It is recommended that BSS assessment be included as an essential component of delirium management strategies for older patients in the ICU. NO PATIENT OR PUBLIC CONTRIBUTION This is a retrospective cohort study, and no patients or the public were involved in the design and conduct of the study.
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Affiliation(s)
- Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, China
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xiaxuan Huang
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Simeng Song
- School of Nursing, Jinan University, Guangzhou, China
| | - Yonglan Tang
- School of Nursing, Jinan University, Guangzhou, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shanyuan Tan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zichen Wang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China
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Ruan T, Wu Y, Liu C, Xu M, Yu J. Prognostic role of urinary ketone body in patients with sepsis-associated encephalopathy without hepatic failure: a retrospective cohort study. Intern Emerg Med 2024; 19:983-991. [PMID: 38480612 DOI: 10.1007/s11739-024-03563-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/11/2024] [Indexed: 06/20/2024]
Abstract
Sepsis-associated encephalopathy (SAE) is defined as a dysfunction of the central nervous system experienced during sepsis with variable clinical features. The study aims to identify the prognostic role of urinary ketone bodies in relation to clinical outcomes in patients with SAE. The Medical Information Mart for Intensive Care III (MIMIC-III) database was used to conduct a retrospective cohort study. We recruited 427 patients with SAE admitted to the intensive care unit (ICU) from the MIMIC-III database. Patients with SAE were divided into a survival group (380 patients) and a non-survival group (47 patients). We used the Wilcoxon signed-rank test and the multivariate logistic regression analysis to analyze the relationship between the level of urinary ketone bodies and the clinical prognosis in patients with SAE. The primary outcome was the relationship between urinary ketone body levels and 28-day mortality of SAE. The secondary outcomes were the relationship between urinary ketone body levels and length of ICU stays, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment (SOFA), Glasgow Coma Scale, mechanical ventilation, renal replacement therapy, and the use of vasopressors. The 28-day mortality of patients with SAE was 11.0%. Urinary ketone body levels were not significantly associated with the 28-day mortality of patients with SAE. Urinary ketone body levels were associated with SOFA score and the use of vasopressors in patients with SAE. The SOFA score was an independent risk factor for the 28-day mortality in patients with SAE. Urinary ketone body levels were significantly associated with SOFA score and the use of vasopressors in patients with SAE. Furthermore, the SOFA score can predict the prognosis of short-term outcomes of patients with SAE. Therefore, we should closely monitor the changes of urinary ketone bodies and SOFA score and intervene in time.
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Affiliation(s)
- Tian Ruan
- Department of Critical Care Medicine, Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, 300100, China
| | - Ya Wu
- Department of Critical Care Medicine, Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, 300100, China
| | - Chuanning Liu
- Department of Anesthesiology, Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, 300100, China
| | - Mu Xu
- Department of Anesthesiology, Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, 300100, China
| | - Jianbo Yu
- Department of Critical Care Medicine, Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, 300100, China.
- Department of Anesthesiology, Tianjin Nankai Hospital, Tianjin Medical University, Tianjin, 300100, China.
- Department of Anesthesiology and Critical Care Medicine, Tianjin Nankai Hospital, Tianjin Medical University, 6 Changjiang Road, Nankai District, Tianjin, 300100, China.
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Wang Z, Wang W, Wang M, He Q, Xu J, Zou K, Kang Y, Sun X. Blood Urine Nitrogen Trajectories of Acute Pancreatitis Patients in Intensive Care Units. J Inflamm Res 2024; 17:3449-3458. [PMID: 38828047 PMCID: PMC11143994 DOI: 10.2147/jir.s460142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/14/2024] [Indexed: 06/05/2024] Open
Abstract
Objective To identify subclasses of acute pancreatitis (AP) patients in the intensive care unit (ICU) by analyzing blood urea nitrogen (BUN) trajectories. Methods AP patients in West China Hospital System (development cohort) and three public databases in the United States (validation cohort) were included. Latent class trajectory modelling was used to identify subclasses based on BUN trajectories within the first 21 days after ICU admission. Clinical characteristics and outcomes were compared, and results were externally validated. Results The study comprised 2971 and 930 patients in the development and validation cohorts, respectively, with five subclasses: Class 1 ("Moderate-azotemia, slow decreasing"), Class 2 ("Non-azotemia"), Class 3 ("Severe-azotemia, slow decreasing"), Class 4 ("Moderate-azotemia, rapid increasing"), and Class 5 ('Moderate-azotemia, slow increasing) identified. Azotemia patients showed significantly higher 30-day mortality risk in development and validation cohorts. Specifically, Class 4 patients exhibited notably highest mortality risk in both the development cohort (HR 5.32, 95% CI 2.62-10.82) and validation cohort (HR 6.23, 95% CI 2.93-13.22). Regarding clinical characteristics, AP patients in Class 4 showed lower mean arterial pressure and a higher proportion of renal disease. We also created an online early classification model to further identify Class 4 patients among all patients with moderate azotemia at baseline. Conclusion This multinational study uncovers heterogeneity in BUN trajectories among AP patients. Patients with "Moderate-azotemia, rapid increasing" trajectory, had a higher mortality risk than patients with severe azotemia at baseline. This finding complements studies that solely rely on baseline BUN for risk stratification and enhanced our understanding of longitudinal progression of AP.
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Affiliation(s)
- Zichen Wang
- Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China
| | - Wen Wang
- Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China
| | - Mingqi Wang
- Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China
| | - Qiao He
- Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China
| | - Jiayue Xu
- Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China
| | - Kang Zou
- Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China
| | - Yan Kang
- Intensive Care Unit, West China Hospital of Sichuan University, Chengdu, 610041, People’s Republic of China
| | - Xin Sun
- Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, People’s Republic of China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, People’s Republic of China
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Yu H, Zhu L, Zhang J, Zheng S, Ming WK, Ip CC, Jiang Y, Chen W, Wu S, Lyu J, Deng L. Joinpoint regression analysis of recent trends in desmoplastic malignant melanoma incidence and mortality: 15-year multicentre retrospective study. Arch Dermatol Res 2024; 316:273. [PMID: 38796649 DOI: 10.1007/s00403-024-02928-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 02/18/2024] [Accepted: 04/26/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND Recent data reveal a marked rise in the detection and mortality rates of Desmoplastic Malignant Melanoma (DMM). This trend underscores the imperative for an in-depth analysis of DMM's epidemiology, which is crucial for the formulation of precise medical and public health strategies. This investigation seeks to elucidate the variations in the incidence and mortality of DMM over a 15-year period (2005-2019). METHODS Data on DMM patients was sourced from the Surveillance, Epidemiology, and End Results (SEER) database. Both incidence and incidence-based mortality rates (IBM) were directly extracted from the SEER database. Joinpoint regression was used to analyze and calculate the average annual percent change (AAPC) and its 95% confidence interval (CI). RESULTS Between 2005 and 2019, 3,384 DMM cases were identified, boasting an age-adjusted incidence rate of 36.3 cases per 1000,000 person-years (95% CI 3.51-3.76) and an IBM of 1.65cases per 1000,000 person-years (95% CI 1.57-1.74). Of these, 2,353 were males (69.53%) and 1,031 were females (30.47%). There were 1894 patients (55.97%) who were over 70 years old. Predominantly, DMM lesions manifested in exposed areas: Limbs (955, 28.22%), Face (906, 26.77%), and Scalp and Neck (865, 25.56%). The incidence of DMM increased significantly at a rate of APC = 0.9% during 2005-2019, while the incidence-based mortality showed a significant upward trend (APC = 7%) during 2005-2012, and slowly increasing trend (APC = 0.6%) during 2012-2019. In contrast to the modest upward trajectory in female incidence and mortality, male incidence initially surged, later declining, while male mortality peaked and stabilized post-2012. The primary sites for incidence and mortality were chronically sun-exposed areas: Face, Scalp and Neck, and Limbs. CONCLUSIONS In recent years, the incidence and incidence-based mortality of DMM have significantly increased. Each subgroup analysis has different trends, and these trends can provide better support for our exploration of DMM.
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Affiliation(s)
- Hai Yu
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, 510630, Guangdong, China
| | - Linna Zhu
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, 510630, Guangdong, China
| | - Jinrong Zhang
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, 510630, Guangdong, China
| | - Suzheng Zheng
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, 510630, Guangdong, China
| | - Wai-Kit Ming
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
| | | | - Yuzhen Jiang
- Royal Free Hospital & University College London, London, UK
| | - Wenhui Chen
- Shanghai Aige Medical Beauty Clinic Co., Ltd. (Agge), Shanghai, China
| | - Shi Wu
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, 510630, Guangdong, China.
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, Guangdong, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
| | - Liehua Deng
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, 510630, Guangdong, China.
- Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China.
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Li X, You L, Liu Q, He W, Cui X, Gong W. A nomogram for predicting survival in patients with gastrointestinal stromal tumor: a study based on the surveillance, epidemiology, and end results database. Front Med (Lausanne) 2024; 11:1403189. [PMID: 38846147 PMCID: PMC11153714 DOI: 10.3389/fmed.2024.1403189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/06/2024] [Indexed: 06/09/2024] Open
Abstract
Purpose The objective of this investigation was to construct and validate a nomogram for prognosticating cancer-specific survival (CSS) in patients afflicted with gastrointestinal stromal tumor (GIST) at 3-, 5-, and 8-years post-diagnosis. Methods Data pertaining to patients diagnosed with GIST were acquired from the Surveillance, Epidemiology, and End Results (SEER) database. Through random selection, a training cohort (70%) and a validation cohort (30%) were established from the patient population. Employing a backward stepwise Cox regression model, independent prognostic factors were identified. Subsequently, these factors were incorporated into the nomogram to forecast CSS rates at 3-, 5-, and 8-years following diagnosis. The nomogram's performance was assessed using indicators such as the consistency index (C-index), the area under the time-dependent receiver operating characteristic curve (AUC), the net reclassification improvement (NRI), the integrated discrimination improvement (IDI), calibration curves, and decision-curve analysis (DCA). Results This investigation encompassed a cohort of 3,062 GIST patients. By analyzing the Cox regression model within the training cohort, nine prognostic factors were identified: age, sex, race, marital status, AJCC (American Joint Committee on Cancer) stage, surgical status, chemotherapy status, radiation status, and income status. The nomogram was subsequently developed and subjected to both internal and external validation. The nomogram exhibited favorable discrimination abilities, as evidenced by notably high C-indices and AUC values. Calibration curves confirmed the nomogram's reliability. Moreover, the nomogram outperformed the AJCC model, as demonstrated by enhanced NRI and IDI values. The DCA curves validated the clinical utility of the nomogram. Conclusion The present study has successfully constructed and validated the initial nomogram for predicting prognosis in GIST patients. The nomogram's performance and practicality suggest its potential utility in clinical settings. Nevertheless, further external validation is warranted.
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Affiliation(s)
| | | | | | | | | | - Wei Gong
- Department of Gastroenterology, Shenzhen Hospital of Southern Medicine University, Shenzhen, China
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Bu F, Cheng HT, Wang ZL, Hou YS, Zhuang Z, Li CY, Wang YQ, Zhang Y, Lyu J, Lyu QY. Effect of a fall within three months of admission on delirium in critically Ill elderly patients: a population-based cohort study. Aging Clin Exp Res 2024; 36:111. [PMID: 38743351 PMCID: PMC11093843 DOI: 10.1007/s40520-024-02740-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 03/18/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Delirium is common among elderly patients in the intensive care unit (ICU) and is associated with prolonged hospitalization, increased healthcare costs, and increased risk of death. Understanding the potential risk factors and early prevention of delirium is critical to facilitate timely intervention that may reverse or mitigate the harmful consequences of delirium. AIM To clarify the effects of pre-admission falls on ICU outcomes, primarily delirium, and secondarily pressure injuries and urinary tract infections. METHODS The study relied on data sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Statistical tests (Wilcoxon rank-sum or chi-squared) compared cohort characteristics. Logistic regression was employed to investigate the association between a history of falls and delirium, as well as secondary outcomes, while Kaplan-Meier survival curves were used to assess short-term survival in delirium and non-delirium patients. RESULTS Study encompassed 22,547 participants. Delirium incidence was 40%, significantly higher in patients with a history of falls (54.4% vs. 34.5%, p < 0.001). Logistic regression, controlling for confounders, not only confirmed that a history of falls elevates the odds of delirium (OR: 2.11; 95% CI: 1.97-2.26; p < 0.001) but also showed it increases the incidence of urinary tract infections (OR:1.50; 95% CI:1.40-1.62; p < 0.001) and pressure injuries (OR:1.36; 95% CI:1.26-1.47; p < 0.001). Elderly delirium patients exhibited lower 30-, 180-, and 360-day survival rates than non-delirium counterparts (all p < 0.001). CONCLUSIONS The study reveals that history of falls significantly heighten the risk of delirium and other adverse outcomes in elderly ICU patients, leading to decreased short-term survival rates. This emphasizes the critical need for early interventions and could inform future strategies to manage and prevent these conditions in ICU settings.
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Affiliation(s)
- Fan Bu
- School of Nursing, Jinan University, Room 1015, Guangzhou, China
| | - Hong-Tao Cheng
- School of Nursing, Jinan University, Room 1015, Guangzhou, China
| | - Zi-Lin Wang
- School of Nursing, Jinan University, Room 1015, Guangzhou, China
| | - Yu-Shan Hou
- Department of Geriatric Psychology, Shandong Daizhuang Hospital, Jining, China
| | - Zhuang Zhuang
- School of Nursing, Jinan University, Room 1015, Guangzhou, China
| | - Can-Yang Li
- School of Nursing, Jinan University, Room 1015, Guangzhou, China
| | - Ya-Qi Wang
- School of Nursing, Jinan University, Room 1015, Guangzhou, China
| | - Yue Zhang
- School of Nursing, Jinan University, Room 1015, Guangzhou, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
| | - Qi-Yuan Lyu
- School of Nursing, Jinan University, Room 1015, Guangzhou, China.
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Di Y, Song J, Song Z, Wang Y, Meng L. Prognostic nomogram to predict cancer-specific survival with small-cell carcinoma of the prostate: a multi-institutional study. Front Oncol 2024; 14:1349888. [PMID: 38800400 PMCID: PMC11116562 DOI: 10.3389/fonc.2024.1349888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 04/24/2024] [Indexed: 05/29/2024] Open
Abstract
Objective The aim of this study is to examine the predictive factors for cancer-specific survival (CSS) in patients diagnosed with Small-Cell Carcinoma of the Prostate (SCCP) and to construct a prognostic model. Methods Cases were selected using the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan-Meier method was utilized to calculate survival rates, while Lasso and Cox regression were employed to analyze prognostic factors. An independent prognostic factor-based nomogram was created to forecast CSS at 12 and 24 months. The model's predictive efficacy was assessed using the consistency index (C-index), calibration curve, and decision curve analysis (DCA) in separate tests. Results Following the analysis of Cox and Lasso regression, age, race, Summary stage, and chemotherapy were determined to be significant risk factors (P < 0.05). In the group of participants who received training, the rate of 12-month CSS was 44.6%, the rate of 24-month CSS was 25.5%, and the median time for CSS was 10.5 months. The C-index for the training cohort was 0.7688 ± 0.024. As for the validation cohort, it was 0.661 ± 0.041. According to the nomogram, CSS was accurately predicted and demonstrated consistent and satisfactory predictive performance at both 12 months (87.3% compared to 71.2%) and 24 months (80.4% compared to 71.7%). As shown in the external validation calibration plot, the AUC for 12- and 24-month is 64.6% vs. 56.9% and 87.0% vs. 70.7%, respectively. Based on the calibration plot of the CSS nomogram at both the 12-month and 24-month marks, it can be observed that both the actual values and the nomogram predictions indicate a predominantly stable CSS. When compared to the AJCC staging system, DCA demonstrated a higher level of accuracy in predicting CSS through the use of a nomogram. Conclusion Clinical prognostic factors can be utilized with nomograms to forecast CSS in Small-Cell Carcinoma of the Prostate (SCCP).
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Affiliation(s)
- Yupeng Di
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China
| | - Jiazhao Song
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China
| | - Zhuo Song
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China
| | - Yingjie Wang
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China
| | - Lingling Meng
- Department of Radiation Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China
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Mhlanga D. The role of big data in financial technology toward financial inclusion. Front Big Data 2024; 7:1184444. [PMID: 38774056 PMCID: PMC11106479 DOI: 10.3389/fdata.2024.1184444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 04/22/2024] [Indexed: 05/24/2024] Open
Abstract
In the rapidly evolving landscape of financial technology (FinTech), big data stands as a cornerstone, driving significant transformations. This study delves into the pivotal role of big data in FinTech and its implications for financial inclusion. Employing a comprehensive literature review methodology, we analyze diverse sources including academic journals, industry reports, and online articles. Our findings illuminate how big data catalyzes the development of novel financial products and services, enhances risk management, and boosts operational efficiency, thereby fostering financial inclusion. Particularly, big data's capability to offer insightful customer behavior analytics is highlighted as a key driver for creating inclusive financial services. However, challenges such as data privacy and security, and the need for ethical algorithmic practices are also identified. This research contributes valuable insights for policymakers, regulators, and industry practitioners, suggesting a need for balanced regulatory frameworks to harness big data's potential ethically and responsibly. The outcomes of this study underscore the transformative power of big data in FinTech, indicating a pathway toward a more inclusive financial ecosystem.
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Affiliation(s)
- David Mhlanga
- College of Business and Economics, University of Johannesburg, Johannesburg, South Africa
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Li S, Zhang L, Yin H, Zhang G, Tan M, Cai Z, Huang T, Lin H, Lyu J. Venous thromboembolism prophylaxis and mortality in patients with spinal fractures in ICUs. Nurs Crit Care 2024; 29:564-572. [PMID: 37041106 DOI: 10.1111/nicc.12915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 03/20/2023] [Accepted: 03/20/2023] [Indexed: 04/13/2023]
Abstract
BACKGROUND Spinal fracture is a common traumatic condition in orthopaedics, accounting for 5%-6% of total body fractures, and is a high-risk factor for venous thromboembolism (VTE), which seriously affects patient prognosis. AIM The aim of this study was to determine the impact of VTE prophylaxis on the prognosis of patients with spinal fractures in intensive care units (ICUs) and to provide a scientific basis for clinical treatment and nursing. DESIGN A retrospective study of patients with spinal fractures from the multicenter eICU Collaborative Research Database. METHOD The outcomes of this study were ICU mortality and in-hospital mortality. Patients were divided into the VTE prophylaxis (VP) and no VTE prophylaxis (NVP) groups according to whether they had undergone VTE prophylaxis during their ICU admission. The association between groups and outcomes were analysed using Kaplan-Meier (KM) survival curve, log-rank test and the Cox proportional-hazards regression model. RESULTS This study included 1146 patients with spinal fractures: 330 in the VP group and 816 in the NVP group. KM survival curves and log-rank tests revealed that both ICU and in-hospital survival probabilities in the VP group were significantly higher than in the NVP group. After the Cox model was adjusted for all covariates, the hazard ratio for ICU mortality in the VP group was 0.38 (0.19-0.75); the corresponding value for in-hospital mortality in the VP group was 0.38 (0.21-0.68). CONCLUSIONS VTE prophylaxis is associated with reduced ICU and in-hospital mortality in patients with spinal fractures in ICUs. More research is necessary to further define specific strategies and optimal timing for VTE prophylaxis. RELEVANCE TO CLINICAL PRACTICE This study provides the basis that VTE prophylaxis may be associated with improved prognosis in patients with spinal fractures in ICUs. In clinical practice, an appropriate modality should be selected for VTE prophylaxis in such patients.
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Affiliation(s)
- Shaojin Li
- Department of Orthopaedics, The first affiliated hospital of Jinan University Guangzhou, Guangzhou, China
| | - Luming Zhang
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Haiyan Yin
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Guowei Zhang
- Department of Orthopaedics, The first affiliated hospital of Jinan University Guangzhou, Guangzhou, China
| | - Minghui Tan
- Department of Orthopaedics, The first affiliated hospital of Jinan University Guangzhou, Guangzhou, China
| | - Zhenbin Cai
- Department of Orthopaedics, The first affiliated hospital of Jinan University Guangzhou, Guangzhou, China
| | - Tao Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Hongsheng Lin
- Department of Orthopaedics, The first affiliated hospital of Jinan University Guangzhou, Guangzhou, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
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Wu X, Zhou M, Lyu J, Chen L. Competing risk nomogram predicting cause-specific mortality in older patients with testicular germ cell tumors. Front Med (Lausanne) 2024; 11:1327485. [PMID: 38695022 PMCID: PMC11061386 DOI: 10.3389/fmed.2024.1327485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 03/20/2024] [Indexed: 05/04/2024] Open
Abstract
Background Testicular germ cell tumor (TGCT) is the most common type of malignancy in young men, but rarely in older adults. We aimed to construct a competing risk model to predict the prognosis for older patients with TGCT. Methods We collected TGCT patients aged 50 years or older diagnosed between 2004 and 2015 from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database. We estimated the cumulative incidences of cause-specific death (CSD) and other causes of death and established a nomogram predicting cause-specific mortality in older patients with TGCT by Fine-Gray competing risk regression. The concordance index (C-index), calibration curves, area under the receiver operating characteristic curve (AUC), and decision analysis curves (DCA) were used to evaluate the differentiation, accuracy, and clinical significance of the nomogram. Results A total of 2,751 older TGCT patients were included in the study. The 3-, 5-, and 10-year cumulative incidences were 4.4, 5.0 and 6.1%, respectively, for cause-specific death, and 3.8, 6.2, 13.1%, respectively, for other causes of death. Predictors of cause-specific mortality in older TGCT included age, marital status, annual household income, histology, tumor size, stage and surgery. In the training and validation sets, the C-indexes were greater than 0.8, indicating that the nomogram had good discrimination. The AUC revealed the same result. The calibration curves showed good agreement between the predicted and observed results of the nomogram. DCA curves indicated that the nomogram had more clinical significance than the conventional American Joint Committee on Cancer (AJCC) staging. Based on the total nomogram score of each case, all patients were categorized into low-risk and high-risk groups, and risk categorization allowed the identification of cases with a high risk of death. Conclusion We established a competing risk nomogram with good performance that may help clinicians accurately predict the prognosis of older TGCT patients.
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Affiliation(s)
- Xiaoying Wu
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Mingfei Zhou
- Drug Clinical Trial Institution, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Lin Chen
- Drug Clinical Trial Institution, The First Affiliated Hospital of Jinan University, Guangzhou, China
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Ling Y, Yuan S, Huang X, Tan S, Cheng H, Xu A, Lyu J. Associations of Folate/Folic Acid Supplementation Alone and in Combination With Other B Vitamins on Dementia Risk and Brain Structure: Evidence From 466 224 UK Biobank Participants. J Gerontol A Biol Sci Med Sci 2024; 79:glad266. [PMID: 38029284 PMCID: PMC10957129 DOI: 10.1093/gerona/glad266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Indexed: 12/01/2023] Open
Abstract
Previous researchers have tried to explore the association between folate/folic acid intake and dementia incidence, but the results remain controversial. We evaluated the associations of folate/folic acid supplementation alone and in combination with other B vitamins on dementia risk and brain structure. A total of 466 224 UK Biobank participants were investigated. Cox proportional hazards models were used to assess the associations between folate/folic acid supplementation status and the risk of Alzheimer's disease (AD) and vascular dementia (VD). Multivariable linear regression models were employed to evaluate the association between folate/folic acid supplementation status and brain structure. In the final model, folate/folic acid supplementation alone was significantly associated with a higher risk of AD (hazard ratio [HR] = 1.34, 95% confidence interval [CI] = 1.06-1.69, p = .015) and VD (HR = 1.61, 95% CI = 1.21-2.13, p = .001). Folate/folic acid supplementation alone was associated with a reduction in the hippocampus (β = -95.25 mm3, 95% CI = -165.31 to -25.19 mm3, p = .014) and amygdala (β = -51.85 mm3, 95% CI = -88.02 to -15.68 mm3, p = .012). The risk of AD and VD, as well as brain structure, in the group with combined folate/folic acid supplementation and other B vitamins did not show a statistically significant difference compared to the reference group (all p > .05). Folate/folic acid supplementation alone is significantly associated with a higher risk of AD and VD, as well as adverse alterations in brain structure. However, when combined with other B vitamins, these detrimental effects can be counteracted.
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Affiliation(s)
- Yitong Ling
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Shiqi Yuan
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Xiaxuan Huang
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Shanyuan Tan
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Anding Xu
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Jun Lyu
- Department of Clinical Research, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, China
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Yan T, Ma Y, Wang Z, Lyu J, Wu S, Zhang C, Wei W, Zeng J, Ma Z, Xu K. Calcium administration appears not to benefit acute pancreatitis patients with hypocalcemia. JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES 2024; 31:273-283. [PMID: 38058277 DOI: 10.1002/jhbp.1397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 10/07/2023] [Accepted: 10/27/2023] [Indexed: 12/08/2023]
Abstract
OBJECTIVE Hypocalcemia occurs commonly among patients with acute pancreatitis (AP) in the intensive care unit (ICU). Calcium therapy could be used to correct hypocalcemia and maintain calcium levels, but its impact on the prognosis has not been demonstrated. Our study aimed to determine whether calcium therapy could benefit the multiple outcomes of AP patients with hypocalcemia. METHODS We extracted 807 AP patients with hypocalcemia from the Beth Israel Deaconess Medical Center (MIMIC-IV) database and performed retrospective analyses. The outcomes were in-hospital, 28 days, ICU mortality, and the length of stay (LOS) in the hospital and ICU. We performed propensity matching (PSM) and inverse probability weighting (IPTW) to balance the baseline differences and conducted multivariate regression to investigate the impact of calcium therapy. RESULTS A total of 620 patients (76.8%) received calcium treatment (calcium group) during hospitalization, while 187 patients (non-calcium group) did not. Patients in the calcium group did not present significant survival differences between groups before and after matching. After including covariates, calcium administration had no association with patients' in-hospital (HR: 1.03, 95% Cl: 0.47-2.27, p = .942), 28 days and ICU mortality and was significantly associated with prolonged length of stay in the hospital (effect estimate: 6.18, 95% Cl: 3.27-9.09, p < .001) and ICU (effect estimate: 1.72, 95% Cl: 0.24-3.20, p < .001). Calcium therapy could not benefit patients in subgroups with exclusive parenteral infusion, early calcium therapy (<48 h), or various degrees of hypocalcemia. CONCLUSION AP patients with hypocalcemia could not benefit from calcium administration, which has no association with multiple mortality and is significantly associated with prolonged LOS in the hospital and ICU.
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Affiliation(s)
- Tianao Yan
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Yifei Ma
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Zheng Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shuai Wu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Chun Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Wanzhen Wei
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Jiahui Zeng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Zhenhua Ma
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
| | - Kedong Xu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Pancreatic Disease Center of Xi'an Jiaotong University, Xi'an, China
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Chen J, Lin J, Weng J, Ju Y, Li Y. Association between trough serum vancomycin concentration and vancomycin-associated acute kidney injury and 30-day mortality in critically ill elderly adults. BMC Infect Dis 2024; 24:330. [PMID: 38509460 PMCID: PMC10953182 DOI: 10.1186/s12879-024-09227-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/14/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Vancomycin-associated acute kidney injury (VA-AKI) is the most clinically relevant side effect of vancomycin. The objective of this study was to investigate the association between VTC and VA-AKI as well as 30-day mortality in critically ill elderly adults. METHOD Elderly patients with trough serum vancomycin concentration records(VTC) in the Medical Information Mart-IV (MIMIC-IV) and eICU databases were retrospectively studied. RESULTS A total of 3,146 critically ill elderly adults were finally enrolled. The incidence of VA-AKI in the elderly population was 76.5%. Logistic regression analysis revealed significant relationships between VA-AKI and various factors, including VTC, comorbidities, and laboratory indicators, and SOFA, and GCS score. For each mg/L increase, the OR for VA-AKI increased by 2.5%. The association between VTC and 30-day mortality was found to be statistically significant (odds ratio (OR): 1.021, 95% CI: 1.010-1.031), P < 0.001). The Restricted cubic splines (RCS) curves revealed that VTC ranged of 19.67 to 35.72 mg/l for AKI and 19.17 to 42.86 mg/l for 30-day mortality exhibit OR with 95% CI above 1, indicating statistically significant associations with an increased risk of AKI and 30-day mortality, respectively. In the subgroup analysis, VTC was identified as a risk factor for VA-AKI in specific patient groups, including white individuals, female patients, those with shock, patients with SOFA > 6, patients with baseline creatinine > 1.2 mg/dl and patients with or without exposed to other nephrotoxic medications. CONCLUSION This study found the significant association between VTC and the incidence of VA-AKI and 30-day mortality in critically ill elderly adults. The RCS curves indicated concentration ranges for AKI (19.67-35.72 mg/L) and 30-day mortality (19.17-42.86 mg/L), signifying increased risk.
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Affiliation(s)
- Jialong Chen
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, the Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Lin
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- Department of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jianzhen Weng
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, the Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Yang Ju
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, the Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Yanming Li
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, the Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
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Lau WC, Huang L, Zheng X, Ming WK, Leong NC, Tak Wong Y, Yin Z, Yu H, Lyu J, Deng L. Prognostic nomograms for predicting long-term overall survival in spindle cell melanoma: a population-based study. Front Endocrinol (Lausanne) 2024; 15:1260966. [PMID: 38572477 PMCID: PMC10988970 DOI: 10.3389/fendo.2024.1260966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 03/06/2024] [Indexed: 04/05/2024] Open
Abstract
Background There are few research findings on the survival prognosis of spindle cell melanoma (SCM), which is an unusual kind of melanoma. The purpose of this study was to develop a thorough nomogram for predicting the overall survival (OS) of patients with SCM and to assess its validity by comparing it with the conventional American Joint Committee on Cancer (AJCC) staging system. Methods The Surveillance, Epidemiology, and End Results database was searched, and 2,015 patients with SCM were selected for the analysis. The patients were randomly divided into training (n = 1,410) and validation (n = 605) cohorts by using R software. Multivariate Cox regression was performed to identify predictive factors. A nomogram was established based on these characteristics to predict OS in SCM. The calibration curve, concordance index (C-index), area under the receiver operating characteristic curve, and decision-curve analysis were utilized to assess the accuracy and reliability of the model. The net reclassification improvement and integrated discrimination improvement were also applied in this model to evaluate its differences with the AJCC model. Results The developed nomogram suggests that race, AJCC stage, chemotherapy status, regional node examination status, marital status, and sex have the greatest effects on OS in SCM. The nomogram had a higher C-index than the AJCC staging system (0.751 versus 0.633 in the training cohort and 0.747 versus 0.650 in the validation cohort). Calibration plots illustrated that the model was capable of being calibrated. These criteria demonstrated that the nomogram outperforms the AJCC staging system alone. Conclusion The nomogram developed in this study is sufficiently reliable for forecasting the risk and prognosis of SCM, which may facilitate personalized treatment recommendations in upcoming clinical trials.
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Affiliation(s)
- Wai Chi Lau
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Liying Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xinkai Zheng
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
| | - Wai-kit Ming
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Nga Cheng Leong
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
- Department of Dermatology, Kiang Wu Hospital, Macau, China
| | - Yu Tak Wong
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
- SHENZHEN BeauCare Clinic, Shenzhen, China
| | - Zhinan Yin
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated with Jinan University, Zhuhai, China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, China
| | - Hai Yu
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China
| | - Liehua Deng
- Department of Dermatology, The First Affiliated Hospital of Jinan University & Jinan University Institute of Dermatology, Guangzhou, China
- Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China
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Wei F, Cheng H, He R, Yang X, Hu Z, Lyu J, Wang Y. Geriatric nutritional risk index independently predicts delirium in older patients in intensive care units: A multicenter cohort study. Arch Gerontol Geriatr 2024; 118:105288. [PMID: 38056103 DOI: 10.1016/j.archger.2023.105288] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Malnutrition is associated with clinical outcomes in several diseases. However, the role of malnutrition in the risk of delirium in elderly patients in intensive care units (ICU) remains unclear. This study aimed to elucidate the association between the Geriatric Nutritional Risk Index (GNRI) and the risk of delirium in elderly patients in the ICU. METHODS Elderly patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD) were included in this study, totaling 11,310 and 5,627, respectively. All subjects were stratified according to their GNRI score: those with no nutritional risk (GNRI > 98), mild nutritional risk (92 ≤ GNRI ≤ 98), moderate nutritional risk (82 ≤ GNRI ≤ 92), and severe nutritional risk (GNRI < 82). The primary outcome was delirium. RESULTS The GNRI in MIMIC-IV and eICU-CRD were 93.82 (84.88, 101.26) and 83.39 (75.95, 89.35), respectively. Compared to the cohort without nutritional risk, there was an increased risk of delirium in patients with mild nutritional risk (OR: 1.39, 95 % CI: 1.23-1.58), moderate nutritional risk (OR: 1.72, 95 % CI: 1.52-1.95), and severe nutritional risk (OR: 2.07, 95 % CI: 1.79-2.39). Inclusion of the GNRI score in the multivariate models improved the prediction of delirium. Similar results were found in the eICU-CRD database. CONCLUSIONS Nutritional assessment using the GNRI may be an independent predictor of the development of delirium in elderly patients in the ICU. The addition of the GNRI score to the delirium prediction model improves its predictive accuracy.
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Affiliation(s)
- Fangxin Wei
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Ruiyao He
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Xin Yang
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Ziqi Hu
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China; Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
| | - Yu Wang
- The Community Service Center of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.
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Bu Q, Lyu J, Zhao L, Cao S, Jia D, Pan Z. Editorial: Application of data mining in pharmaceutical research. Front Pharmacol 2024; 15:1388738. [PMID: 38495095 PMCID: PMC10940530 DOI: 10.3389/fphar.2024.1388738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 03/19/2024] Open
Affiliation(s)
- Qingting Bu
- Department of Genetics, Northwest Women’s and Children’s Hospital, Xi’an, Shaanxi, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Limei Zhao
- Department of Pathology and Pathophysiology, Sochoow University, Suzhou, Jiangsu, China
| | - Shiyi Cao
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Deyong Jia
- Department of Urology, University of Washington, Seattle, WA, United States
| | - Zhenyu Pan
- Department of Pharmacy, Xi’an Children’s Hospital, Xi’an, Shaanxi, China
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Nagy M, Sisk B, Lai A, Kodish E. Will artificial intelligence widen the therapeutic gap between children and adults? Pediatr Investig 2024; 8:1-6. [PMID: 38516139 PMCID: PMC10951493 DOI: 10.1002/ped4.12407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 10/31/2023] [Indexed: 03/23/2024] Open
Affiliation(s)
- Matthew Nagy
- Cleveland Clinic Lerner College of MedicineCase Western Reserve UniversityClevelandOhioUSA
| | - Bryan Sisk
- Department of PediatricsDivision of Hematology/OncologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of MedicineBioethics Research CenterWashington University School of MedicineSt. LouisMissouriUSA
| | - Albert Lai
- Institute for InformaticsWashington University School of MedicineSt. LouisMissouriUSA
| | - Eric Kodish
- Cleveland Clinic Lerner College of MedicineCase Western Reserve UniversityClevelandOhioUSA
- Department of Pediatric Hematology Oncology and Blood and Marrow TransplantationCleveland Clinic Children'sClevelandOhioUSA
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Jin J, Yu L, Zhou Q, Zeng M. Improved prediction of sepsis-associated encephalopathy in intensive care unit sepsis patients with an innovative nomogram tool. Front Neurol 2024; 15:1344004. [PMID: 38445262 PMCID: PMC10912324 DOI: 10.3389/fneur.2024.1344004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/02/2024] [Indexed: 03/07/2024] Open
Abstract
Background Sepsis-associated encephalopathy (SAE) occurs as a result of systemic inflammation caused by sepsis. It has been observed that the majority of sepsis patients experience SAE while being treated in the intensive care unit (ICU), and a significant number of survivors continue suffering from cognitive impairment even after recovering from the illness. The objective of this study was to create a predictive nomogram that could be used to identify SAE risk factors in patients with ICU sepsis. Methods We conducted a retrospective cohort study using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. We defined SAE as a Glasgow Coma Scale (GCS) score of 15 or less, or delirium. The patients were randomly divided into training and validation cohorts. We used least absolute shrinkage and selection operator (LASSO) regression modeling to optimize feature selection. Independent risk factors were determined through a multivariable logistic regression analysis, and a prediction model was built. The performance of the nomogram was evaluated using various metrics including the area under the receiver operating characteristic curve (AUC), calibration plots, Hosmer-Lemeshow test, decision curve analysis (DCA), net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Results Among the 4,476 sepsis patients screened, 2,781 (62.1%) developed SAE. In-hospital mortality was higher in the SAE group compared to the non-SAE group (9.5% vs. 3.7%, p < 0.001). Several variables were analyzed, including the patient's age, gender, BMI on admission, mean arterial pressure, body temperature, platelet count, sodium level, and use of midazolam. These variables were used to create and validate a nomogram. The nomogram's performance, assessed by AUC, NRI, IDI, and DCA, was found to be superior to the conventional SOFA score combined with delirium. Calibration plots and the Hosmer-Lemeshow test confirmed the accuracy of the nomogram. The enhanced NRI and IDI values demonstrated that our scoring system outperformed traditional diagnostic approaches. Additionally, the DCA curve indicated the practicality of the nomogram in clinical settings. Conclusion This study successfully identified autonomous risk factors associated with the emergence of SAE in sepsis patients and utilized them to formulate a predictive model. The outcomes of this investigation have the potential to serve as a valuable clinical resource for the timely detection of SAE in patients.
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Affiliation(s)
- Jun Jin
- Department of Intensive Care Unit, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Lei Yu
- Department of Intensive Care Unit, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Qingshan Zhou
- Department of Intensive Care Unit, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Mian Zeng
- Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Institute of Pulmonary Diseases Sun Yat-sen University, Guangzhou, Guangdong, China
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Huang Z, Liu C, Wu Z, Xiao X, Chen Z, Huang Q, Liu D, Deng Z. Elevated platelet count is associated with decreased mortality from hemorrhagic stroke in hospital: a multi-center retrospective cohort study. Sci Rep 2024; 14:3797. [PMID: 38360953 PMCID: PMC10869352 DOI: 10.1038/s41598-024-53956-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 02/07/2024] [Indexed: 02/17/2024] Open
Abstract
This study aimed to investigate the relationship between platelet count (PC) and mortality in patients with hemorrhagic stroke (HS). The research reviewed data from 10,466 patients hospitalized in 208 hospitals in the United States from January 1, 2014, to December 31, 2015. Of these, 3262 HS patients were included in the primary analysis for those admitted to the intensive care unit (ICU). The average age of these patients was 67.05 years, with 52.79% being male. The median PC was (221.67 ± 73.78) × 109/L. Multivariate logistic regression analysis revealed that PC was a protective factor for mortality in HS patients (OR = 0.98, 95% CI 0.97-1.00, P < 0.05). Additionally, a non-linear association between PC and mortality in HS patients was found using a generalized additive model (GAM) and smooth curve fitting (penalty spline method). For the first time, a recursive algorithm identified the inflection point of platelet count as 194 × 109/L. On the left side of the inflection point, for every increase of 10 units in platelet count, the mortality rate of HS patients decreases by 10%. The study demonstrates a non-linear relationship between PC and the risk of mortality in HS patients. A platelet counts higher than the inflection point (194 × 109/L) may be a significant intervention to reduce mortality in HS patients.
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Affiliation(s)
- Zhenhua Huang
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China
| | - Chenglin Liu
- Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Guangzhou Medical University, Shenzhen, 518035, China
| | - Zhanxing Wu
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China
| | - Xiaoyong Xiao
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China
| | - Zhongqin Chen
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China
| | - Qun Huang
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China
| | - Dehong Liu
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
| | - Zhe Deng
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
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Chen Y, Liu J, Cong C, Li Y, Hu Y. Traditional Chinese Medicine is Associated with the Reduction in Endpoint Events in Patients with Gouty Arthritis: Cohort Study and Association Rule Analysis. Int J Gen Med 2024; 17:525-539. [PMID: 38371521 PMCID: PMC10874188 DOI: 10.2147/ijgm.s451097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/06/2024] [Indexed: 02/20/2024] Open
Abstract
Objective This study aimed to evaluate the effect of traditional Chinese medicine (TCM) on endpoint events in patients with gouty arthritis (GA). Methods and Materials A total of 2091 hospitalized GA patients were followed up by telephone, and propensity score matching (PSM) was used to reduce potential bias in the study design. Cox proportional risk model and Kaplan-Meier survival curve were utilized to analyze the impact and time effect of factors on the readmission of GA patients. The differences of laboratory indexes before and after treatment between the low and high exposure groups were compared, and the types and frequencies of medicines in all patients were counted. Association rule analysis was performed to investigate the association between TCM and test indexes or endpoint events. Results After 1:1 PSM, 187 patients were enrolled in the TCM group and 187 patients in the non-TCM group. The incidence of readmission, new tophus, and all-cause death was lower in the TCM group than that in the non-TCM group (P < 0.05). Cox proportional risk regression analysis showed that TCM, NSAIDs and uric acid lowering drug were independent protective factors for GA readmission. The protective effect was enhanced by the prolongation of TCM treatment and the drug combinations. Kaplan-Meier survival curves indicated a significantly lower readmission rate in the high exposure group than in the low exposure group (P < 0.01). Compared with before treatment, NLR, hs-CRP, UA, TC and other laboratory indexes of the low and high exposure groups were improved after treatment (P < 0.01); The improvement of TG and TC in the high exposure group was more significant than the low exposure group (P < 0.01). The analysis of medicines used by all patients identified the top 20 Chinese herbal medicines and the top 2 Chinese patent medicines. The core drugs identified through association rule analysis that can improve test index and reduce the incidence of endpoint events include Yiyiren, Danshen, and HQC, among others. The network diagram of association rule analysis intuitively shows the relationship between core drugs and "improvement of indicators" and "the absence of endpoint events". Conclusion TCM is associated with a reduced incidence of endpoint events in patients with GA.
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Affiliation(s)
- Yiming Chen
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, 230038, People’s Republic of China
- Anhui Key Laboratory of Application and Development of Internal medicine of Modern Chinese Medicine, Hefei, Anhui, 230038, People’s Republic of China
| | - Jian Liu
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, 230038, People’s Republic of China
- Anhui Key Laboratory of Application and Development of Internal medicine of Modern Chinese Medicine, Hefei, Anhui, 230038, People’s Republic of China
| | - Chengzhi Cong
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, 230038, People’s Republic of China
| | - Yang Li
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, 230038, People’s Republic of China
| | - Yuedi Hu
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, 230038, People’s Republic of China
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Su H, Xie S, Wang S, Huang L, Lyu J, Pan Y. New findings in prognostic factor assessment for adenocarcinoma of transverse colon: a comparison study between competing-risk and COX regression analysis. Front Med (Lausanne) 2024; 11:1301487. [PMID: 38357650 PMCID: PMC10864588 DOI: 10.3389/fmed.2024.1301487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024] Open
Abstract
Purpose Competing-risk analysis was used to accurately assess prognostic factors for cancer-specific death in patients with adenocarcinoma of transverse colon (ATC), and the results were compared with those from a conventional Cox regression analysis. Materials and Methods Patients diagnosed with ATC between 2000 and 2019 were selected from the Surveillance, Epidemiology, and End Results database. The crude mortality rates of patients with ATC were calculated and their differences were tested using the Gray's test, respectively. In performing multivariate analysis, the Cox regression model and the subdistribution hazard function (SD) in competing risk analysis were utilized, respectively. Results This study included 21,477 eligible patients. The SD model indicated that age, etc. are actual independent prognostic factors. In contrast to previous recognition, the results of the Cox regression showed false-positives for sex and Carcinoembryonic antigen, and underestimated point-estimates in the stage and American Joint Committee on Cancer stage due to competing events. A detailed comparison of treatment revealed that the larger surgical scopes were prognostic risk factors compared with the smaller scope of local tumor excision, partial colectomy, or segmental resection. Patients treated with external proton beam radiotherapy had an increased risk compared with those with no radiotherapy and internal radiotherapy. Conclusions After comparing the results of the two methods and mitigating the significant bias introduced by Cox regression, we found independent factors that really affect the prognosis of ATC. On the other hand, in terms of ATC, a larger surgical scope and external proton beam radiotherapy may not improve the long-term survival of patients. Therefore, when faced with ATC patients, these differences should be noted and treated differently from common colorectal cancer patients. Thus, clinicians are able to give more targeted treatment plans and prognostic assessments.
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Affiliation(s)
- Hongbo Su
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Shuping Xie
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Shanshan Wang
- Section of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Liying Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, China
| | - Yunlong Pan
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
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Cheng H, Song S, Tang Y, Yuan S, Huang X, Ling Y, Wang Z, Tian X, Lyu J. Does ICU admission dysphagia independently contribute to delirium risk in ischemic stroke patients? Results from a cohort study. BMC Psychiatry 2024; 24:65. [PMID: 38263028 PMCID: PMC10804594 DOI: 10.1186/s12888-024-05520-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 01/12/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Delirium is prevalent in ischemic stroke patients, particularly those in the intensive care unit (ICU), and it poses a significant burden on patients and caregivers, leading to increased mortality rates, prolonged hospital stays, and impaired cognitive function. Dysphagia, a common symptom in critically ill patients with ischemic stroke, further complicates their condition. However, the association between dysphagia and delirium in this context remains unclear. The objective of this study was to investigate the correlation between dysphagia and delirium in ICU patients with ischemic stroke. METHODS A retrospective analysis was conducted on adult patients diagnosed with ischemic stroke at a medical center in Boston. Ischemic stroke cases were identified using the ninth and tenth revisions of the International Classification of Diseases. Dysphagia was defined as a positive bedside swallowing screen performed by medical staff on the day of ICU admission, while delirium was assessed using the ICU Confusion Assessment Method and review of nursing notes. Logistic regression models were used to explore the association between dysphagia and delirium. Causal mediation analysis was employed to identify potential mediating variables. RESULTS The study comprised 1838 participants, with a median age of approximately 70 years, and 50.5% were female. Among the total study population, the prevalence of delirium was 43.4%, with a higher prevalence observed in the dysphagia group (60.7% vs. 40.8%, p < 0.001) compared to the non-dysphagia group. After adjusting for confounding factors including age, sex, race, dementia, depression, sedative medications, history of falls, visual or hearing deficit, sequential organ failure score, and Glasgow coma score, multifactorial logistic regression analysis demonstrated a significant association between dysphagia and an increased likelihood of delirium (odds ratio [OR]: 1.48; 95% confidence interval [CI]: 1.07-2.05; p = 0.018; E-value = 1.73). Causal mediation analysis revealed that serum albumin levels partially mediated the association between dysphagia and delirium in critically ill patients with ischemic stroke (average causal mediated effect [ACME]: 0.02, 95% CI: 0.01 to 0.03; p < 0.001). CONCLUSION ICU admission dysphagia may independently contribute to the risk of delirium in patients with ischemic stroke. Early identification and intervention in ischemic stroke patients with dysphagia may help mitigate the risk of delirium and improve patient prognosis.
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Affiliation(s)
- Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, China
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Simeng Song
- School of Nursing, Jinan University, Guangzhou, China
| | - Yonglan Tang
- School of Nursing, Jinan University, Guangzhou, China
| | - Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xiaxuan Huang
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zichen Wang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xiaoying Tian
- School of Nursing, Jinan University, Guangzhou, China.
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
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Gui Z, Yu L, Chen Y, Zhang M, He J, Hao Y. Study from the United States: increased prevalence of kidney stones in patients with high weight-adjusted waist index. Front Nutr 2024; 10:1171775. [PMID: 38299185 PMCID: PMC10828009 DOI: 10.3389/fnut.2023.1171775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 11/13/2023] [Indexed: 02/02/2024] Open
Abstract
Objective Using data from NHANES 2007-2018, to examine the association between WWI (weight-adjusted waist index) index and prevalence of kidney stones. Methods Using multiple logistic regression analysis of the National Health and Nutrition Examination Survey (NHANES) 2007-2018, we evaluated the association between WWI index and the prevalence of kidney stones, followed by subgroup analysis of sensitive populations. Smooth curve fitting was used to determine whether there was a non-linear relationship between the WWI index and kidney stone prevalence, and threshold effect analysis was used to test this relationship. Results Among 29,280 participants, 2,760 self-reported renal calculi. After adjustment for all confounders, there was a positive association between WWI and kidney stone prevalence (OR = 1.20, 95% CI: 1.12, 1.28), and this positive association was stronger with increasing WWI (and P = 0.01 for trend). Our results indicate a non-linear positive correlation between WWI index and kidney stones, with the saturation threshold effect analysis and the most important threshold value at 11.02. According to subgroup analysis, WWI showed the strongest association with kidney stone prevalence in participants aged 20-39 years, males, other US ethnic groups, and participants without hypertension and diabetes. Conclusion Increased WWI is positively associated with increased incidence of kidney stones, and increased WWI is a high risk for kidney stones that should be treated with caution. This association should be more pronounced in people between the ages of 20 and 39 years, in men, in other US ethnic populations, and in participants who do not have hypertension or diabetes.
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Affiliation(s)
- Zhaohua Gui
- Division of Life Sciences and Medicine, Department of Pathology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China
| | - Longshan Yu
- Division of Life Sciences and Medicine, Department of Emergency Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China
| | - Yan Chen
- Department of General Practice, Wuhu City Second People’s Hospital, Wuhu, China
| | - Mingxun Zhang
- Division of Life Sciences and Medicine, Department of Pathology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China
| | - Jie He
- Division of Life Sciences and Medicine, Department of Pathology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, China
| | - Yunwu Hao
- Department of Urology, Lu’an Hospital Affiliated of Anhui Medical University (Lu an City People’s Hospital), Lu’an, Anhui, China
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Seki T, Kawazoe Y, Ohe K. Clinical Feature Vector Generation using Unsupervised Graph Representation Learning from Heterogeneous Medical Records. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2024; 2023:618-623. [PMID: 38222342 PMCID: PMC10785854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
The diversity of patient information recorded on electronic medical records generally, presents a challenge for converting it into fixed-length vectors that align with clinical characteristics. To address this issue, this study aimed to utilize an unsupervised graph representation learning method to transform the unstructured inpatient information from electronic medical records into a fixed-length vector. Infograph, one of the unsupervised graph representation learning algorithms was applied to the graphed inpatient information, resulting in embedded vectors of fixed length. The embedded vectors were then evaluated for whether the clinical information was preserved in it. The results indicated that the embedded representation contained information that could predict readmission within 30 days, demonstrating the feasibility of using unsupervised graph representation learning to transform patient information into fixed-length vectors that retain clinical characteristics.
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Affiliation(s)
- Tomohisa Seki
- Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan
| | - Yoshimasa Kawazoe
- Artificial Intelligence in Healthcare, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuhiko Ohe
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Kaur H, Singh KJ, Sharma S, Das M, Albert V, Ojha AK, Singh G, Hallur V, Savio J, Pamidimukkala U, Karuna T, Nath R, Xess I, Gupta P, Shetty A. The Development of a Clinical Registry Digital Database on Invasive Fungal Infections in India: Advancing Epidemiological Understanding and Patient Care. J Fungi (Basel) 2024; 10:42. [PMID: 38248951 PMCID: PMC10817322 DOI: 10.3390/jof10010042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
A well-structured digital database is essential for any national priority project as it can provide real-time data analysis and facilitate quick decision making. In recent times, particularly after the COVID-19 pandemic, invasive fungal infections (IFIs) have emerged as a significant public health challenge in India, affecting vulnerable population, including immunocompromised individuals. The lack of comprehensive and well-structured data on IFIs has hindered efforts to understand their true burden and optimize patient care. To address this critical knowledge gap, the ICMR has undertaken a Pan-India pioneer initiative to develop a network of Advanced Mycology Diagnostic research centres in different geographical zones of the country (ICMR-MycoNet). Under the aegis of this project, a clinical registry on IFIs in the ICUs is initiated. This process paper presents a detailed account of the steps involved in the establishment of a web-based data entering and monitoring platform to capture data electronically, ensuring robust and secure data collection and management. This system not only allows participating ICMR-MycoNet centres to enter patient information directly into the database using standardized Case Report Form (CRF) but also includes data validation checks to ensure the accuracy and completeness of entered data. It is complemented by a real-time, web-based, and adaptable data visualization platform. This registry aims to provide crucial epidemiological insights, promote evidence-based hospital infection control programs, and ultimately improve patient outcomes in the face of this formidable healthcare challenge.
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Affiliation(s)
- Harleen Kaur
- ICMR-National Institute of Medical Statistics (ICMR-NIMS), New Delhi 110029, India; (H.K.); (K.J.S.)
| | - Kh. Jitenkumar Singh
- ICMR-National Institute of Medical Statistics (ICMR-NIMS), New Delhi 110029, India; (H.K.); (K.J.S.)
| | - Saurabh Sharma
- ICMR-National Institute of Medical Statistics (ICMR-NIMS), New Delhi 110029, India; (H.K.); (K.J.S.)
| | - Madhuchhanda Das
- Indian Council of Medical Research (ICMR), New Delhi 110029, India; (V.A.); (A.K.O.)
| | - Venencia Albert
- Indian Council of Medical Research (ICMR), New Delhi 110029, India; (V.A.); (A.K.O.)
| | - Anup Kumar Ojha
- Indian Council of Medical Research (ICMR), New Delhi 110029, India; (V.A.); (A.K.O.)
| | - Gagandeep Singh
- Department of Microbiology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India; (G.S.); (I.X.)
| | - Vinaykumar Hallur
- Department of Microbiology, All India Institute of Medical Sciences (AIIMS), Bhubaneswar 751019, India;
| | - Jayanthi Savio
- Department of Microbiology, St. John’s Medical College (SJMC), Bengaluru 560034, India;
| | - Umabala Pamidimukkala
- Department of Microbiology, Nizam’s Institute of Medical Sciences (NIMS), Hyderabad 500082, India;
| | - Tadepalli Karuna
- Department of Microbiology, All India Institute of Medical Sciences (AIIMS), Bhopal 462020, India;
| | - Reema Nath
- Department of Microbiology, Assam Medical College (AMC), Dibrugarh 786002, India;
| | - Immaculata Xess
- Department of Microbiology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India; (G.S.); (I.X.)
| | - Prashant Gupta
- Department of Microbiology, King George’s Medical University (KGMU), Lucknow 226003, India;
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Xie Y, Lei C, Ma Y, Li Y, Yang M, Zhang Y, Law KN, Wang N, Qu S. Prognostic nomograms for breast cancer with lung metastasis: a SEER-based population study. BMC Womens Health 2024; 24:16. [PMID: 38172874 PMCID: PMC10765699 DOI: 10.1186/s12905-023-02848-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Lung metastasis is a significant adverse predictor of prognosis in patients with breast cancer. Accurate estimation for the prognosis of patients with lung metastasis and population-based validation for the models are lacking. In the present study, we aimed to establish the nomogram to identify prognostic factors correlated with lung metastases and evaluate individualized survival in patients with lung metastasis based on SEER (Surveillance, Epidemiology, and End Results) database. METHODS We selected 1197 patients diagnosed with breast cancer with lung metastasis (BCLM) from the SEER database and randomly assigned them to the training group (n = 837) and the testing group (n = 360). Based on univariate and multivariate Cox regression analysis, we evaluated the effects of multiple variables on survival in the training group and constructed a nomogram to predict the 1-, 2-, and 3-year survival probability of patients. The nomogram were verified internally and externally by Concordance index (C-index), Net Reclassification (NRI), Integrated Discrimination Improvement (IDI), Decision Curve Analysis (DCA), and calibration plots. RESULTS According to the results of multi-factor Cox regression analysis, age, histopathology, grade, marital status, bone metastasis, brain metastasis, liver metastasis, human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), progesterone receptor (PR), surgery, neoadjuvant therapy and chemotherapy were considered as independent prognostic factors for patients with BCLM. The C-index in the training group was 0.719 and the testing group was 0.695, respectively. The AUC values of the 1-, 2-, and 3-year prognostic nomogram in the training group were 0.798, 0.790 and 0.793, and the corresponding AUC values in the testing group were 0.765, 0.761 and 0.722. The calculation results of IDI and NRI were shown. The nomograms significantly improved the risk reclassification for 1-, 2-, and 3-year overall mortality prediction compared with the AJCC 7th staging system. According to the calibration plot, nomograms showed good consistency between predicted and actual overall survival (OS) values for the patients with BCLM. DCA showed that nomograms had better net benefits at different threshold probabilities at different time points compared with the AJCC 7th staging system. CONCLUSIONS Nomograms that predicted 1-, 2-, and 3-year OS for patients with BCLM were successfully constructed and validated to help physicians in evaluating the high risk of mortality in breast cancer patients.
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Affiliation(s)
- Yude Xie
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Chiseng Lei
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Yuhua Ma
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Yuan Li
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Mei Yang
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Yan Zhang
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Kin Nam Law
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Ningxia Wang
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Shaohua Qu
- Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
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Yan T, Zhang C, Ma Y, Xu K, Wu S, Xu F, Han Y, Wei W, Lyu J, Wang Z. Adverse Impact of Sodium Bicarbonate Administration on Multiple Outcomes in Acute Pancreatitis Patients With Hyperlactatemia. Pancreas 2024; 53:e62-e68. [PMID: 38258983 DOI: 10.1097/mpa.0000000000002275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
OBJECTIVE Hyperlactatemia is likely to occur among patients with acute pancreatitis (AP). Sodium bicarbonate (SB) therapy could be applied to correct potential detrimental acidic disturbances, but the exact impact of SB treatment is unknown. This study aims to investigate the impact of SB on AP patients complicated with hyperlactatemia. METHODS The study was conducted based on the database named Medical Information Mart for Intensive Care-IV (MIMIC-IV). Propensity matching (PSM) and inverse probability weighting (IPTW) were used to balance the baseline differences. Multivariate regression and marginal structural Cox models were performed to investigate the association between SB and multiple outcomes. RESULTS Three hundred fifty-three AP patients with hyperlactatemia (initial serum lactate, >2.0 mmol/L) were extracted from the MIMIC-IV database. We found that SB treatment was significantly associated with worse multi-outcomes of AP patients with hyperlactatemia (in-hospital mortality: hazard ratio, 2.46; 95% confidence interval, 1.38-4.39; P < 0.01). Further analysis through marginal structural Cox models showed that SB had adverse impact on in-hospital prognosis of patients with severe lactic acidosis (pH < 7.15,lactate > 2.0 mmol/L). CONCLUSION Sodium bicarbonate might not be an appropriate treatment for AP patients with hyperlactatemia (lactate > 2.0 mmol/L) or with severe lactic acidosis (pH < 7.15, lactate > 2.0 mmol/L).
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Affiliation(s)
| | | | | | | | | | - Fengshuo Xu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, People's Republic of China
| | | | | | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, People's Republic of China
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Yang X, Huang K, Yang D, Zhao W, Zhou X. Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review. GLOBAL CHALLENGES (HOBOKEN, NJ) 2024; 8:2300163. [PMID: 38223896 PMCID: PMC10784210 DOI: 10.1002/gch2.202300163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/20/2023] [Indexed: 01/16/2024]
Abstract
The explosive growth of biomedical Big Data presents both significant opportunities and challenges in the realm of knowledge discovery and translational applications within precision medicine. Efficient management, analysis, and interpretation of big data can pave the way for groundbreaking advancements in precision medicine. However, the unprecedented strides in the automated collection of large-scale molecular and clinical data have also introduced formidable challenges in terms of data analysis and interpretation, necessitating the development of novel computational approaches. Some potential challenges include the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues. This overview article focuses on the recent progress and breakthroughs in the application of big data within precision medicine. Key aspects are summarized, including content, data sources, technologies, tools, challenges, and existing gaps. Nine fields-Datawarehouse and data management, electronic medical record, biomedical imaging informatics, Artificial intelligence-aided surgical design and surgery optimization, omics data, health monitoring data, knowledge graph, public health informatics, and security and privacy-are discussed.
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Affiliation(s)
- Xue Yang
- Department of Pancreatic Surgery and West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Kexin Huang
- Department of Pancreatic Surgery and West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Dewei Yang
- College of Advanced Manufacturing EngineeringChongqing University of Posts and TelecommunicationsChongqingChongqing400000China
| | - Weiling Zhao
- Center for Systems MedicineSchool of Biomedical InformaticsUTHealth at HoustonHoustonTX77030USA
| | - Xiaobo Zhou
- Center for Systems MedicineSchool of Biomedical InformaticsUTHealth at HoustonHoustonTX77030USA
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Fan X, He W, Zhang Q, Zhang B, Dong L, Li L, Liu X. Evaluation and Prediction Analysis of 3- and 5-Year Relative Survival Rates of Patients with Cervical Cancer: A Model-Based Period Analysis. Cancer Control 2024; 31:10732748241232324. [PMID: 38408865 PMCID: PMC10898299 DOI: 10.1177/10732748241232324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 11/21/2023] [Accepted: 01/19/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Cervical cancer remains a threat to female health due to high mortality. Clarification of the long-term trend of survival rate over time and the associated risk factors would be greatly informative to improve the prognosis of cervical cancer patients. METHODS This retrospective study was based on data extracted from the Surveillance, Epidemiology, and End Results (SEER) database of the United States. The 3-year and 5-year overall survival rates of patients with cervical cancer during 2002-2006, 2007-2011, and 2012-2016 were analyzed. Period analysis was used to assess the variation in survival rate stratified by age, race, and socioeconomic status during the 15-year study period and then predicted the relative survival rate in the following period from 2017 to 2021. RESULTS During 2002-2016, the 3-year relative survival rate of cervical cancer patients increased from 73.1% to 73.5% with a high jump between 2007 and 2011. This upward trend is expected to continue to 74.3% between 2017 and 2021. Patients older than 60 years, black ethnicity, or medium and high poverty status were likely to have a lower relative survival rate. CONCLUSION This study confirmed the increased relative survival rate of cervical cancer patients over years and identified relevant risk factors. Targeted initiatives for elderly and socially underprivileged individuals may be able to mitigate inequality.
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Affiliation(s)
- Xiaodong Fan
- School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Wei He
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Qing Zhang
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Binjie Zhang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Li Dong
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Li Li
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong, China
| | - Xiaochun Liu
- School of Public Health, Shanxi Medical University, Taiyuan, China
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
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Bo W, Qianyu Z, Mo L. Global, Regional, and National Burden of Ectopic Pregnancy: A 30-Year Observational Database Study. Int J Clin Pract 2023; 2023:3927337. [PMID: 38146347 PMCID: PMC10749725 DOI: 10.1155/2023/3927337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 10/24/2023] [Accepted: 10/27/2023] [Indexed: 12/27/2023] Open
Abstract
Objective To estimate global, regional, and national trends due to ectopic pregnancy as part of the 2019 Global Burden of Disease study. Methods We systematically reviewed trends in ectopic pregnancy burden using data from the Global Burden of Disease (GBD) database, including 21 regions, 195 countries, and territories over the past 30 years. The trends of ectopic pregnancy-related incidence, mortality, and disability-adjusted life years (DALYs) attributable to all known risk factors were also analyzed. Age-standardized rates (ASRs) and their estimated annual percentage changes (EAPCs) were also calculated. Results Incident cases, deaths, and DALYs of ectopic pregnancy increased worldwide in the past 30 years. The age-standardized incidence rate (ASIR) was decreasing (EAPC = -1.14, 95% confidence interval (CI): -1.29 to -0.98), and the age-standardized death (EAPC = -0.9, 95% CI: -1.03 to -0.76) and DALY rate decreased generally (EAPC = -0.83, 95% CI: -0.98 to -0.68). In addition, the burden of ectopic pregnancy is lower in areas with higher socioeconomic development, and significant positive correlations between ASRs and sociodemographic index (SDI) were observed, especially among low-middle SDI, and low SDI quintiles carried the majority burden of ectopic pregnancy. Conclusion Globally, the incidence, mortality, and DALY rate of ectopic pregnancy had been decreasing from 1990 to 2019. Compared with lower and decreasing ASIR in the high SDI region, ASIR in the low SDI region was always high, indicating the need for ectopic pregnancy treatment improvement and the establishment of more targeted and specific strategies in low SDI countries to reduce the incidence of ectopic pregnancy.
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Affiliation(s)
- Wang Bo
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, China
| | - Zhang Qianyu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, China
| | - Li Mo
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, China
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Zhang M, Li R, Zhang J, Wang Y, Wang Y, Guo Y. Development and validation of a nomogram for predicting overall survival in patients with early-onset endometrial cancer. BMC Cancer 2023; 23:1230. [PMID: 38097995 PMCID: PMC10720131 DOI: 10.1186/s12885-023-11682-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND This study aimed to investigate the differences in the clinicopathological characteristics of younger and older patients with endometrial cancer (EC) and develop a nomogram to assess the prognosis of early onset EC in terms of overall survival. METHODS Patients diagnosed with EC from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015 were selected. Clinicopathological characteristics were compared between younger and older patients, and survival analysis was performed for both groups. Prognostic factors affecting overall survival in young patients with EC were identified using Cox regression. A nomogram was created and internal validation was performed using the consistency index, decision curve analysis, receiver operating characteristic curves, and calibration curves. External validation used data from 70 patients with early onset EC. Finally, Kaplan-Meier curves were plotted to compare survival outcomes across the risk subgroups. RESULTS A total of 1042 young patients and 12,991 older patients were included in this study. Younger patients were divided into training (732) and validation (310) cohorts in a 7:3 ratio. Cox regression analysis identified age, tumorsize, grade, FIGO stage(International Federation of Gynecology and Obstetrics) and surgery as independent risk factors for overall survival, and a nomogram was constructed based on these factors. Internal and external validations demonstrated the good predictive power of the nomogram. In particular, the C-index for the overall survival nomogram was 0.832 [95% confidence interval (0.797-0.844)] in the training cohort and 0.839 (0.810-0.868) in the internal validation cohort. The differences in the Kaplan-Meier curves between the different risk subgroups were statistically significant. CONCLUSIONS In this study, a nomogram for predicting overall survival of patients with early onset endometrial cancer based on the SEER database was developed to help assess the prognosis of patients and guide clinical treatment.
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Affiliation(s)
- Meng Zhang
- Department of Gynecology, Second Hospital of Lanzhou University, No.82 Cui Ying Gate, Cheng guan District, Lanzhou, Gansu, 730030, China
| | - Ruiping Li
- Department of Gynecology, Second Hospital of Lanzhou University, No.82 Cui Ying Gate, Cheng guan District, Lanzhou, Gansu, 730030, China
| | - Jiaxi Zhang
- Department of Gynecology, Second Hospital of Lanzhou University, No.82 Cui Ying Gate, Cheng guan District, Lanzhou, Gansu, 730030, China
| | - Yunyun Wang
- Department of Gynecology, Second Hospital of Lanzhou University, No.82 Cui Ying Gate, Cheng guan District, Lanzhou, Gansu, 730030, China
| | - Yunlu Wang
- Department of Gynecology, Second Hospital of Lanzhou University, No.82 Cui Ying Gate, Cheng guan District, Lanzhou, Gansu, 730030, China
| | - Yuzhen Guo
- Department of Gynecology, Second Hospital of Lanzhou University, No.82 Cui Ying Gate, Cheng guan District, Lanzhou, Gansu, 730030, China.
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Zheng S, Xie S, Yu H, Duan X, He Y, Ho C, Wan Y, Hang T, Chen W, Lyu J, Deng L. Competing-risks analysis for evaluating the prognosis of patients with microinvasive cutaneous squamous cell carcinoma based on the SEER database. BMC Med Res Methodol 2023; 23:286. [PMID: 38062392 PMCID: PMC10701925 DOI: 10.1186/s12874-023-02109-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 11/22/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Utilizing the traditional Cox regression model to identify the factors affecting the risk of mortality due to microinvasive cutaneous squamous cell carcinoma (micSCC) may produce skewed results. Since cause-specific mortality can guide clinical decision-making, this study employed the Fine-Gray model based on the Surveillance, Epidemiology, and End Results (SEER) database to identify significant predictive variables for the risk of micSCC-related mortality. METHODS This study used the information of patients with micSCC who were listed in the SEER database during 2000-2015. Cox regression and Fine-Gray models were utilized for the multivariable analysis, and Gray's test and the cumulative incidence function were used for the univariable analyses. RESULTS There were 100 patients who died from other reasons and 38 who died from micSCC among the 1259 qualified patients with micSCC. Most were female, white, married, had localized metastasis, etc. According to the univariable Gray's test (P < 0.05), the cumulative incidence rate for events of interest was strongly associated with age, sex, marital status, American Joint Committee on Cancer staging, radiation status, summary stage, chemotherapy status, surgery status, and tumor size. Multivariable Cox regression analysis and multivariable competing-risks analysis indicated that age, tumor size, and income were independent risk variables for the prognosis of patients with micSCC. In both age and tumor size variables, the competing-risks model showed a slight decrease in the hazard ratio and a slight narrowing of the 95% confidence interval compared with the Cox regression model. However, this pattern is not evident in the income variable. CONCLUSIONS This study established a Fine-Gray model for identifying the independent risk factors that influence the risk of mortality among patients with micSCC. This study uncovers that, in the context of competing risks, age, tumor size, and income serve as independent risk factors influencing the risk of mortality due to micSCC among patients. Our findings have the potential to provide more accurate risk assessments for patient outcomes and contribute to the development of individualized treatment plans.
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Affiliation(s)
- Suzheng Zheng
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China
| | - Shuping Xie
- School of Basic Medicine and Public Health, Jinan University, Guangzhou, China
| | - Hai Yu
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China
| | - Xi Duan
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China
- Department of Dermatology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yong He
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China
| | - Chichien Ho
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China
| | - Yang Wan
- Guangzhou Jnumeso Bio-Technology Co., Ltd, Guangzhou, China
| | - Tie Hang
- Chinese Academy of Inspection and Quarantine Greater Bay Area, Zhongshan, China
| | - Wenhui Chen
- Shanghai Aige Medical Beauty Clinic Co., Ltd. (Agge), Shanghai, China.
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
| | - Liehua Deng
- Department of Dermatology, The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology, Guangzhou, China.
- Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China.
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