Evidence mapPaperPMID 41559581Full record

ArticleBMC cardiovascular disorders2026

The creatinine-to-body weight ratio predicts mortality in critically ill patients with heart failure: a retrospective cohort study of the MIMIC-IV database.

Dunlin Fang, Yanyi Huang, Jian Huang, Wanchun Hu, Changchang Zhang, Xing Liu, Zhenyu Shi

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Article in BMC cardiovascular disorders, 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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7 authors.

Dunlin Fang *The Fifth Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yanyi Huang *The Fifth Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jian HuangGuangzhou Red Cross Hospital of Jinan University, Guangzhou, China.
Wanchun HuGuangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, China.
Changchang ZhangThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Xing LiuGuangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, China.
Zhenyu ShiGuangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, China. 13560166258@163.com.

Funding

Thank you for your valuable advice. Based on your comments, we carefully revised the paper in the Methods section of the revised manuscript. The revised section explicitly states that its methodological framework was adapted from the established analysis protocol published by Huang et al. (2025) in BMC Nephrology, with modifications implemented to suit the specific heart failure patient populatio 20251029
6 · The paper itself

Abstract

backgroundHeart failure (HF) is a clinical syndrome with high global incidence and mortality, imposing a substantial economic burden. While creatinine (Cr) and body weight (BW) individually influence HF progression, the prognostic role of the creatinine-to-body weight ratio (CWR) remains unclear. This study investigates the association between CWR and mortality in HF patients, aiming to identify high-risk individuals and inform prognosis.

methodsPatient data were extracted from the MIMIC-IV database. Participants were first stratified into CWR index quartiles to categorize the cohort. The primary endpoints were 30- and 365-day all-cause mortality, while secondary endpoints included 90- and 180-day mortality. Kaplan-Meier curves with log-rank tests were then used to compare survival across quartiles. Next, Cox proportional hazards regression (with sequential model adjustment) and restricted cubic spline (RCS) analysis assessed the association between CWR and prognosis. Sensitivity analyses were subsequently conducted to examine the robustness of the non-linear relationship, and subgroup analyses explored potential effect modifications. Finally, time-dependent receiver operating characteristic (ROC) curve analyses compared the predictive performance of CWR against traditional markers.

resultsAmong 4,371 participants (median age: 75 years; 54.8% male), higher CWR index values were significantly associated with increased all-cause mortality risks at 30, 90, 180, and 365 days, as demonstrated by Kaplan-Meier survival curves (log-rank P < 0.01). Building on these results, Cox regression analysis further revealed that individuals in the highest CWR index quartile had an elevated risk of death compared to those in lower quartiles. Additionally, restricted cubic spline (RCS) analysis showed a robust biphasic nonlinear association between the CWR index and mortality, identifying 0.05 as a key threshold where the risk relationship changes. Specifically, for most patients (CWR ≤ 0.05), mortality risk increases with rising CWR values until it plateaus, whereas for those with CWR > 0.05 (n = 320), a distinct pathophysiological state may emerge, marked by a sharp increase in risk. The underlying mechanisms require further investigation.

conclusionCWR demonstrates a robust biphasic association with mortality, identifying 0.05 as a critical threshold separating a risk-plateau phase from extreme high-risk. Its stable prognostic value suggests CWR may integrate acute hemodynamic and chronic metabolic stress, though prospective validation is warranted.

Indexed as

Body WeightCreatinineHeart FailureAgedAged, 80 and overBiomarkersCause of DeathCritical IllnessDatabases, FactualFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesBiomarkersCreatinineAll-cause mortalityCreatinine-to-weight ratioHeart failureMIMIC-IV database

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PMID41559581
PMCPMC12905899

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