Evidence map›Paper›PMID 42192313›Full record

ArticleBMC cardiovascular disorders2026

Predictive value of monocyte-to-high-density lipoprotein cholesterol ratio for acute kidney injury following coronary artery bypass grafting.

Xingping Lv, Chen Li, Tuo Shen, Wei Zhou, Feng Zhu

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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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5 authors.

Xingping Lv *Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Chen Li *Department of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Tuo ShenDepartment of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Wei ZhouDepartment of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Feng ZhuDepartment of Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. alexzhufeng@tongji.edu.cn.

Funding

National Key R&D Program of China 2024YFC3505700
6 · The paper itself

Abstract

objectiveTo evaluate the predictive value of preoperative monocyte-to-high-density lipoprotein cholesterol ratio (MHR) for acute kidney injury (AKI) after coronary artery bypass grafting (CABG).

methodsThis retrospective single-center study enrolled 280 patients undergoing CABG at Shanghai East Hospital between January and December 2024. Eligible patients were aged ≥ 18 years, lacked prior chronic kidney disease, and had complete perioperative data. Preoperative MHR was calculated, and postoperative AKI was defined according to KDIGO criteria. Multivariate logistic regression identified independent predictors of AKI, with MHR standardized via Z-score transformation. Predictive performance was assessed using receiver operating characteristic (ROC) curves and 10-fold cross-validation; model calibration was evaluated using binned calibration plots and the Hosmer-Lemeshow test. The optimal MHR cutoff was determined by the Youden index, and patients were stratified accordingly. Postoperative serum creatinine trajectories were compared using linear mixed-effects models with Holm-adjusted pairwise tests.

resultsAKI occurred in 104 patients (37.1%). Multivariate regression revealed that preoperative MHR (per 1-SD increase: OR = 2.56, 95% CI: 1.77-3.80, p < 0.001), triglycerides (OR = 1.81, 95% CI: 1.23-2.73, p = 0.003), and blood glucose (OR = 1.21, 95% CI: 1.04-1.41, p = 0.015) were independent risk factors for post-CABG AKI. MHR yielded an AUC of 0.743 (95% CI: 0.682-0.804), outperforming triglycerides (AUC = 0.681) and glucose (AUC = 0.626). A combined model incorporating MHR, triglycerides, and glucose achieved a superior AUC of 0.782 (95% CI: 0.726-0.839), which was significantly better than individual predictors (all DeLong p < 0.05). Cross-validation confirmed robust performance (combined model AUC = 0.769), and calibration was excellent (mean absolute error = 0.006; Hosmer-Lemeshow p = 0.8149). Using the optimal cutoff (MHR > 0.658), the high-MHR group exhibited a significantly higher AKI incidence (64.29% vs. 22.53%, p < 0.001) and persistently elevated creatinine levels across all postoperative time points (CrH0-CrH72, all adjusted p ≤ 0.030). Subgroup analyses confirmed consistent associations between MHR and AKI across strata of age, cardiac function, hypertension, and diabetes, with no significant interaction effects.

conclusionsPreoperative MHR is a strong independent predictor of post-CABG AKI, with improved performance when combined with triglycerides and blood glucose.

Indexed as

Acute Kidney InjuryCholesterol, HDLCoronary Artery BypassCoronary Artery DiseaseMonocytesAgedBiomarkersChinaFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsBiomarkersCholesterol, HDLAcute kidney injuryCoronary artery bypass graftingHigh-density lipoprotein cholesterolMonocyte

Identifiers

PMID42192313
PMCPMC13393732

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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.