title: Prediction of all-cause mortality with copeptin in cardio-cerebrovascular patients: A meta-analysis of prospective studies.
abstract: BACKGROUND
  Measurement of the biomarker copeptin may help identify disease severity and risk of mortality for a various diseases. This study sought to determine the relationship between copeptin and all-cause mortality of patients with cardio-cerebrovascular disease.
  
  
  METHODS
  Database of Medline and Web of Science were searched for studies with data involving the baseline copeptin levels and subsequent all-cause mortality outcomes. The pooled HRs of all-cause mortality were calculated and presented with 95%CIs. Subgroup analysis and sensitivity analysis were conducted to explore the possible sources of heterogeneity.
  
  
  RESULTS
  Data from 14,395 participants were derived from 28 prospective studies. Higher copeptin significantly increased the risk of all-cause mortality (per unit copeptin: HR=1.020, 95%CI=1.004-1.036; log unit copeptin: HR=2.884, 95%CI=1.844-4.512; categorical copeptin: HR=3.371, 95%CI=2.077-5.472). Subgroup analysis indicated that the risk of all-cause death was higher in cerebrovascular patients (per unit copeptin: HR=2.537, 95%CI=0.956-6.731; log unit copeptin: HR=3.419, 95%CI=2.391-4.888) than cardiovascular patients (per unit copeptin: HR=1.011, 95%CI=1.002-1.020; log unit copeptin: HR=2.009, 95%CI=1.119-3.608).
  
  
  CONCLUSIONS
  Copeptin is associated with all-cause mortality of patients with cardiovascular and cerebrovascular disease. Our study suggests that copeptin seems to be a promising novel biomarker for prediction of mortality in cardio-cerebrovascular patients, especially for cerebrovascular patients.
authors: Department of Clinical Epidemiology and Evidence-based Medicine, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Institute of Cardiovascular Diseases, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Center of Evidence Based Medicine, Liaoning Province & China Medical University, Shenyang 110001, China. Electronic address: ivy_071602@126.com.
authors: Hao
authors: H
authors: Sun
authors: Department of Clinical Epidemiology and Evidence-based Medicine, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Institute of Cardiovascular Diseases, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Center of Evidence Based Medicine, Liaoning Province & China Medical University, Shenyang 110001, China. Electronic address: 0314ls0930@163.com.
authors: Ting
authors: T
authors: Sun
authors: Department of Clinical Epidemiology and Evidence-based Medicine, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Institute of Cardiovascular Diseases, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Center of Evidence Based Medicine, Liaoning Province & China Medical University, Shenyang 110001, China. Electronic address: mabing081208@163.com.
authors: Bing
authors: B
authors: Ma
authors: Department of Clinical Epidemiology and Evidence-based Medicine, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Institute of Cardiovascular Diseases, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Center of Evidence Based Medicine, Liaoning Province & China Medical University, Shenyang 110001, China. Electronic address: damo_yang@sina.com.
authors: Bo-wen
authors: BW
authors: Yang
authors: Department of Clinical Epidemiology and Evidence-based Medicine, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Institute of Cardiovascular Diseases, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Center of Evidence Based Medicine, Liaoning Province & China Medical University, Shenyang 110001, China. Electronic address: zhangyao5102@126.com.
authors: Yao
authors: Y
authors: Zhang
authors: Department of Clinical Epidemiology and Evidence-based Medicine, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Institute of Cardiovascular Diseases, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Center of Evidence Based Medicine, Liaoning Province & China Medical University, Shenyang 110001, China. Electronic address: huangcheng8928@163.com.
authors: Dong-hui
authors: DH
authors: Huang
authors: Department of Clinical Epidemiology and Evidence-based Medicine, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Institute of Cardiovascular Diseases, First Affiliated Hospital, China Medical University, Shenyang 110001, China; Center of Evidence Based Medicine, Liaoning Province & China Medical University, Shenyang 110001, China. Electronic address: jingpushi56@yahoo.com.
authors: Jing-pu
authors: JP
authors: Shi
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D002318:Cardiovascular Diseases / Q000378:metabolism* / Q000401:mortality / Q000473:pathology; D002561:Cerebrovascular Disorders / Q000378:metabolism* / Q000401:mortality / Q000473:pathology; D006020:Glycopeptides / Q000378:metabolism*; D006801:Humans; D012307:Risk Factors
chemical_list: D015415:Biomarkers; D006020:Glycopeptides; C048197:copeptins
keywords: All-cause mortality; Cardiovascular; Cerebrovascular; Copeptin; Meta-analysis