Evidence map›Paper›PMID 41852712›Full record

ArticleOpen medicine (Warsaw, Poland)2026

The C-reactive protein-to-body mass index ratio predicts prognosis in patients with different types of heart failure.

Tao Shi, Jianping Yang, Ningli Zhang, Dan Xu, Fazhi Yang, Sirui Yang, Lixing Chen

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tao ShiDepartment of Cardiology, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0002-0746-6706
Jianping YangCollege of Big Data, Yunnan Agricultural University, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0001-5431-3457
Ningli ZhangDepartment of Anesthesiology, the Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.ORCID https://orcid.org/0009-0008-1837-9174
Dan XuCentre of Clinical Research and Education, Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID https://orcid.org/0000-0001-6649-1111
Fazhi YangDepartment of Cardiology, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.ORCID https://orcid.org/0009-0002-3902-7334
Sirui YangDepartment of Cardiology, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.ORCID https://orcid.org/0009-0000-0254-2477
Lixing ChenDepartment of Cardiology, the First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

C-reactive protein-to-body mass index ratioejection fractionheart failureinflammationnutrition

Identifiers

PMID41852712
PMCPMC12995259

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.