Evidence map›Paper›PMID 41645106›Full record

ArticleBMC cardiovascular disorders2026

Predictive value of hemoglobin-to-red cell distribution width ratio for mortality in new-onset atrial fibrillation after cardiac surgery a machine learning study based on the MIMIC-IV database.

Jiazheng Li, Mei Han, Teng Cai, Shuo Sheng, Jiazheng Sun, Hongsheng Liu

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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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5 · Who and what money

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6 authors.

Jiazheng Li *Jining Medical University, Jining, 272013, China.
Mei Han *Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China.
Teng CaiDepartment of Cardiac Intensive Medicine, Affiliated Hospital of Jining Medical University, Jining, 272029, China.
Shuo ShengJining Medical University, Jining, 272013, China.
Jiazheng SunJining Medical University, Jining, 272013, China.
Hongsheng LiuDepartment of Cardiac Intensive Medicine, Affiliated Hospital of Jining Medical University, Jining, 272029, China. 15726599916@163.com.

Funding

the Key Research and Development Program of Jining City, China 2023YXNS078
6 · The paper itself

Abstract

backgroundPostoperative atrial fibrillation (POAF) is a common complication after cardiac surgery and is associated with increased mortality. Hemoglobin (Hb) and red cell distribution width (RDW), reflecting oxygen-carrying capacity and systemic stress, have prognostic relevance. The hemoglobin-to-RDW ratio (HRR) integrates these parameters, but its prognostic value in POAF after cardiac surgery remains underexplored.

methodThis retrospective study included patients from the Medical Information Mart for Intensive Care (MIMIC)-IV 3.1 database. The primary outcomes were 90-day, 180-day, and 360-day all-cause mortality among patients with POAF after cardiac surgery. Cox proportional hazards models and survival analyses were used to evaluate the association between HRR and mortality. Fully adjusted models excluded hemoglobin and RDW to avoid potential overadjustment. Machine learning models were further developed to assess the predictive performance of HRR.

resultsAmong 9384 patients undergoing cardiac surgery, 3315 developed postoperative atrial fibrillation. Lower HRR was independently associated with increased 90-day, 180-day, and 360-day all-cause mortality after adjustment for potential confounders. A nonlinear, L-shaped relationship between HRR and mortality was observed, with higher HRR values associated with improved survival. Among machine learning models, CatBoost demonstrated the best predictive performance, with area under the curve values of 0.871, 0.855, and 0.801 for 90-day, 180-day, and 360-day mortality, respectively.

conclusionLower HRR is independently associated with increased short- and long-term mortality in patients with POAF after cardiac surgery. As a simple and readily available biomarker, HRR may assist early postoperative risk stratification, although prospective multicenter studies are needed for further validation.

Indexed as

Atrial FibrillationCardiac Surgical ProceduresDecision Support TechniquesErythrocyte IndicesHemoglobinsMachine LearningAgedBiomarkersDatabases, FactualFemaleHumansMaleMiddle AgedPredictive Learning ModelsPredictive Value of TestsRetrospective StudiesBiomarkersHemoglobinsCardiac surgeryHemoglobin-to-red cell distribution width ratioMachine learningMIMIC-IVMortalityPostoperative atrial fibrillation

Identifiers

PMID41645106
PMCPMC12973892

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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.