Title |
Cardiac troponin and C-reactive protein for predicting all-cause and cardiovascular mortality in patients with chronic kidney disease: A meta-analysis
|
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Published in |
Clinics, April 2015
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DOI | 10.6061/clinics/2015(04)14 |
Pubmed ID | |
Authors |
Wei-Jie Li, Xu-Miao Chen, Xiao-Ying Nie, Jing Zhang, Yun-Jiu Cheng, Xiao-Xiong Lin, Su-Hua Wu |
Abstract |
Elevated serum levels of cardiac troponin and C-reactive protein are associated with all-cause and cardiovascular mortality in patients with end-stage renal disease. However, the relationship between these two biomarker levels and mortality in patients with chronic kidney disease remains unclear. We conducted a meta-analysis to quantify the association of cardiac troponin and C-reactive protein levels with all-cause and cardiovascular mortality in patients with chronic kidney disease. Relevant studies were identified by searching the MEDLINE database through November 2013. Studies were included in the meta-analysis if they reported the long-term all-cause or cardiovascular mortality of chronic kidney disease patients with abnormally elevated serum levels of cardiac troponin or C-reactive protein. Summary estimates of association were obtained using a random-effects model. Thirty-two studies met our inclusion criteria. From the pooled analysis, cardiac troponin and C-reactive protein were significantly associated with all-cause (HR 2.93, 95% CI 1.97-4.33 and HR 1.21, 95% CI 1.14-1.29, respectively) and cardiovascular (HR 3.27, 95% CI 1.67-6.41 and HR 1.19, 95% CI 1.10-1.28, respectively) mortality. In the subgroup analysis of cardiac troponin and C-reactive protein, significant heterogeneities were found among the subgroups of population for renal replacement therapy and for the proportion of smokers and the C-reactive protein analysis method. Elevated serum levels of cardiac troponin and C-reactive protein are significant associated with higher risks of all-cause and cardiovascular mortality in patients with chronic kidney disease. Further studies are warranted to explore the risk stratification in chronic kidney disease patients. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Postgraduate | 6 | 14% |
Student > Bachelor | 6 | 14% |
Other | 5 | 12% |
Student > Master | 5 | 12% |
Researcher | 4 | 10% |
Other | 7 | 17% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
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Nursing and Health Professions | 7 | 17% |
Social Sciences | 2 | 5% |
Unspecified | 1 | 2% |
Computer Science | 1 | 2% |
Other | 3 | 7% |
Unknown | 13 | 31% |