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The C-reactive protein-to-body mass index ratio predicts prognosis in patients with different types of heart failure
Tao Shi1, Jianping Yang2,3, Ningli Zhang4
1Department of Cardiology, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Insights
The C-reactive protein-to-body mass index ratio (CBR) effectively predicts all-cause mortality in heart failure (HF) patients. A higher CBR indicates an increased risk of mortality, regardless of HF type or ejection fraction.
Area of Science:
- Cardiology
- Biomarkers
- Prognostics
Background:
- Heart failure (HF) is a complex syndrome with significant mortality.
- Identifying reliable prognostic markers is crucial for managing HF patients.
- The C-reactive protein-to-body mass index ratio (CBR) is a novel marker under investigation.
Purpose of the Study:
- To evaluate the predictive value of the CBR for all-cause mortality in HF patients.
- To assess the CBR's prognostic capability across different HF types and ejection fractions.
Main Methods:
- 1196 HF patients were analyzed.
- Patients were stratified into low and high CBR groups based on ROC curve analysis.
- Prognostic value was assessed using Kaplan-Meier curves, Cox regression, cubic spline plots, and ROC analyses.
Main Results:
- The high CBR group exhibited the highest cumulative incidence of all-cause mortality.
- CBR independently predicted all-cause mortality in all HF patient types.
- CBR demonstrated superior predictive performance compared to CRP or BMI alone for all-cause mortality.
Conclusions:
- The CBR is a robust predictor of all-cause mortality in HF patients.
- Elevated CBR levels are associated with increased mortality risk, irrespective of HF classification.
Objectives:
The aim of this study was to explore the predictive value of the C-reactive protein-to-body mass index ratio (CBR) in the prognosis of all-cause mortality in patients with heart failure (HF) with different ejection fractions.
Methods:
We included 1196 HF patients from the First Affiliated Hospital of Kunming Medical University after exclusion criteria. Based on the optimal cut-off value from the ROC curves, patients were categorised into low CBR group and high CBR group. The predictive value of the CBR for the prognosis of all-cause mortality in patients with different types of HF was assessed using Kaplan-Meier curves, Cox proportional hazards analyses, cubic spline plots and ROC curves analyses.
Results:
Kaplan‒Meier analyses showed that the high CBR group had the highest cumulative incidence of all-cause mortality regardless of the type of HF patients. Multivariate Cox regression analysis revealed that the CBR was an independent predictor of prognosis for all-cause mortality in patients with all types of HF. The cubic spline plots showed a roughly positive association between the CBR and all-cause mortality. The ROC curves showed that for all types of HF patients, the area under the curve for the CBR was the largest relative to individual CRP and BMI.
Conclusions:
Regardless of the type of HF patients, the CBR can be a good predictor of prognosis for all-cause mortality in patients with a higher CBR associated with a higher risk of all-cause mortality.
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