Literature DB >> 30826600

C-reactive protein for predicting cardiovascular and all-cause mortality in type 2 diabetic patients: A meta-analysis.

Ran Tian1, Mao Tian2, Liang Wang1, Hao Qian1, Shuyang Zhang1, Haiyu Pang3, Zhenyu Liu1, Ligang Fang1, Zhujun Shen4.   

Abstract

AIMS: There is interest in using blood C-reactive protein (CRP) to predict adverse prognosis outcomes patients with type 2 diabetes. This meta-analysis aimed to investigate the association between elevated baseline CRP level and unfavorable outcomes in type 2 diabetes patients. MATERIALS/
METHODS: PubMed and Embase databases were systematically searched for studies on the association of elevated baseline CRP level with cardiovascular mortality and all-cause mortality from their inception to July 2018. Pooled risk ratio (RR) with 95% confidence intervals (CI) was calculated for the highest versus the lowest CRP level.
RESULTS: Six prospective cohort studies and two post hoc analyses of randomized controlled trials involving 22,322 type 2 diabetes patients were included. Meta-analysis indicated that type 2 diabetes patients with the highest CRP level had a greater risk of all-cause mortality (RR 2.03; 95% CI 1.49-2.75) and cardiovascular mortality (RR 1.76; 95% CI 1.46-2.13). Subgroups analysis indicated that the increased cardiovascular and all-cause mortality risk was consistently found in different study design, follow-up duration or patients with or without cardiovascular risk/established cardiovascular disease subgroups.
CONCLUSIONS: This meta-analysis indicates that elevated baseline serum CRP level is independently associated with future cardiovascular and all-cause mortality in type 2 diabetes patients.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  All-cause mortality; C-reactive protein; Cardiovascular mortality; Meta-analysis; Type 2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 30826600     DOI: 10.1016/j.cyto.2019.02.005

Source DB:  PubMed          Journal:  Cytokine        ISSN: 1043-4666            Impact factor:   3.861


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