Evidence map›Paper›PMID 42239670›Full record

ArticleFrontiers in physiology2026

Predictive value of the C-reactive protein-to-lymphocyte ratio for prognosis in heart failure patients with acute kidney injury.

Supei Yin, Chengmei Shu, Dongli Huang, Zhihui Quan, Shuai Yang, Yin Wang

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Article in Frontiers in physiology, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Supei YinNephrology Department, Bishan Hospital of Chongqing, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Chengmei ShuNephrology Department, Bishan Hospital of Chongqing, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Dongli HuangNephrology Department, Bishan Hospital of Chongqing, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Zhihui QuanNephrology Department, Bishan Hospital of Chongqing, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Shuai YangDepartment of Emergency Intensive Care Unit, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, China.
Yin WangBishan Hospital of Chongqing, Bishan Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prognostic value of the C-reactive protein-to-lymphocyte ratio (CLR) in critical and inflammatory diseases is increasingly recognized. Nonetheless, its role in risk stratification for patients with congestive heart failure (CHF) who develop acute kidney injury (AKI) has not been thoroughly investigated. Research indicates that cardiorenal syndrome is mediated by a cytokine storm causing cardiac and renal injury, the extent of which can be quantified by the CLR and is significantly associated with adverse outcomes such as mortality and cardiovascular events. This study aims to elucidate the relationship between CLR and mortality in this patient population. Methods: Leveraging data from the MIMIC-IV database, we identified patients diagnosed with both CHF and AKI. We employed Cox models to gauge the link between CLR and near- and long-term (30-day/365-day) all-cause mortality, supplemented by Kaplan-Meier analysis across CLR quartiles. The non-linear dynamics of this relationship were mapped with restricted cubic splines (RCS). The model's predictive performance was appraised using ROC curves, and potential effect modifiers were probed through comprehensive subgroup analyses to elucidate the interplay of key factors. Results: Among 1605 patients, higher CLR quartiles were associated with significantly worse survival by Kaplan-Meier analysis (log-rank P < 0.001). After full multivariable adjustment, the risk of 365-day mortality increased progressively across CLR quartiles (Q2: HR 1.96 [1.33-2.90]; Q3: 2.19 [1.49-3.21]; Q4: 3.78 [2.63-5.43]; P-trend < 0.001). Similar trends were observed for 30-day mortality (Q4: 4.32 [2.19-8.53]; P-trend < 0.001), although the HRs for Q2 and Q3 did not reach statistical significance. Fully adjusted RCS confirmed linear LnCLR-mortality associations for 30-day (P for nonlinearity = 0.352) and 365-day outcomes (P for nonlinearity = 0.197). ROC analysis demonstrated fair discriminative ability of CLR for 30-day (AUC: 0.713) and 365-day mortality (AUC: 0.675). Subgroup analyses confirmed consistent prognostic effects (all P for interaction > 0.05). Conclusion: CLR independently is associated with both short- and long-term mortality in CHF-AKI patients, supporting its clinical utility for risk stratification in this high-risk population.

Indexed as

acute kidney injurycongestive heart failureC-reactive proteinC-reactive protein to lymphocyte ratioprognostic marker

Identifiers

PMID42239670
PMCPMC13225966

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