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Predictive role of C-reactive protein in sudden death: a meta-analysis of prospective studies
Ruhua Zhou1, Jingjing Xu2, Jiaochen Luan2
1The College of Nursing, Nanjing Medical University, Nanjing, Jiangsu, China.
Insights
C-reactive protein (CRP) predicts cardiovascular disease risk. This meta-analysis confirms CRP is an independent predictor of sudden death (SD), supporting its use in clinical risk assessment.
Area of Science:
- Cardiovascular Medicine
- Biomarkers
- Epidemiology
Background:
- C-reactive protein (CRP) is a known cardiovascular disease risk factor.
- The association between CRP and sudden death (SD) remains debated.
- A comprehensive evaluation is needed to clarify CRP's role in SD prediction.
Purpose of the Study:
- To conduct a meta-analysis evaluating the association between C-reactive protein (CRP) and sudden death (SD).
- To determine if CRP is an independent predictor of sudden death.
- To inform clinical practice regarding CRP measurement for SD risk assessment.
Main Methods:
- Systematic literature search across multiple databases (PubMed, Web of Science, Embase, etc.).
- Independent screening and data extraction by two researchers.
- Meta-analysis of prospective studies using Stata software.
Main Results:
- Twelve prospective studies with 36,646 patients were included.
- Higher CRP concentrations were associated with an increased risk of SD (HR, 1.19; 95% CI, 1.09-1.29).
- Multivariate analysis confirmed CRP as an independent predictor of SD (HR, 1.05; 95% CI, 1.03-1.07).
Conclusions:
- C-reactive protein (CRP) is confirmed as an independent predictor of sudden death (SD).
- These findings support the routine measurement of CRP for SD risk stratification in clinical settings.
Objective:
C-reactive protein (CRP) is a powerful predictor of and risk factor for cardiovascular disease. However, the relationship between CRP and sudden death (SD) is controversial. Therefore, we performed a meta-analysis to evaluate the association between CRP and SD.
Methods:
We conducted a comprehensive search of the databases of PubMed, Web of Science, Embase, Cochrane Library, Wanfang, CNKI, China Biology Medicine disc, and Weipu. Two researchers independently screened the literature, extracted data, and evaluated the data quality. The overall effect size was meta-analyzed using Stata software version 12.0 (StataCorp, College Station, TX, USA).
Results:
Twelve prospective studies involving 36,646 patients were included in the present meta-analysis. The data revealed that patients with higher CRP concentrations had a greater risk of SD (hazard ratio, 1.19; 95% confidence interval, 1.09-1.29). When the hazard ratio of SD was calculated by multivariate analysis of nine studies, CRP was confirmed to be an independent predictive factor for SD (hazard ratio, 1.05; 95% confidence interval, 1.03-1.07).
Conclusions:
This meta-analysis confirmed that CRP is an independent predictor of SD. These results support the recommendation of recording the CRP concentration for risk assessment of SD in clinical practice.
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