Evidence map›Paper›PMID 42102173›Full record

ArticlePloS one2026

Cardiometabolic indices as predictors of clinical outcomes in palliative care patients.

Mete Ucdal, Evren Ekingen, Karya Yurtsever, Melike Elif Celik, Saniye Beyza Kuru

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Article in PloS one, 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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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

5 authors.

Mete UcdalDepartment of Internal Medicine, Etimesgut Şehit Sait Ertürk State Hospital, Ankara, Turkey.ORCID https://orcid.org/0000-0002-2321-2642
Evren EkingenDepartment of Emergency Medicine, Etimesgut Şehit Sait Ertürk State Hospital, Ankara, Turkey.
Karya YurtseverDepartment of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Melike Elif CelikDepartment of Internal Medicine, Etimesgut Şehit Sait Ertürk State Hospital, Ankara, Turkey.
Saniye Beyza KuruDepartment of Internal Medicine, Etimesgut Şehit Sait Ertürk State Hospital, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple cardiometabolic indices have been proposed for prognostic assessment, yet their comparative performance in palliative care remains unclear. The triglyceride-glucose body mass index (TyG-BMI) integrates metabolic dysfunction with adiposity, but whether it outperforms traditional lipid-based, inflammatory, and nutritional indices requires systematic evaluation. PURPOSE: To comprehensively compare TyG-BMI against eleven established cardiometabolic indices for predicting sepsis, mechanical ventilation requirement, and 30-day mortality in palliative care patients, with specific focus on performance in diabetic subpopulations. PATIENTS AND

methodsThis retrospective cohort included 318 palliative care patients. Twelve indices were calculated: TyG-BMI (primary); lipid-based (AIP, CRI-I, CRI-II, Non-HDL, TG/HDL); inflammatory (NLR, PLR, SII, MHR); and nutritional (PNI, CAR). ROC analysis compared discriminative ability for sepsis, mechanical ventilation, and 30-day mortality. Subgroup analyses stratified by diabetes mellitus status were performed with interaction testing.

resultsOf 318 patients (mean age 67.4 ± 14.8 years, 55% male), 121 (38.1%) had diabetes, 58 (18.2%) developed sepsis, 42 (13.2%) required mechanical ventilation, and 30 (9.4%) died within 30 days. TyG-BMI achieved the highest AUCs: 0.84 (95% CI 0.78-0.90) for sepsis, 0.82 (0.75-0.89) for ventilation, and 0.87 (0.82-0.92) for 30-day mortality-significantly superior to all comparator indices (p < 0.001). In multivariate analysis, TyG-BMI independently predicted mortality (OR 2.38 per SD, 95% CI 1.78-3.18, p < 0.001). In diabetic patients, TyG-BMI's discriminative ability was markedly enhanced (mortality AUC 0.92, 95% CI 0.87-0.97; OR 2.65, 95% CI 1.88-3.74, p < 0.001), while other indices showed minimal performance improvement (interaction p < 0.001).

conclusionTyG-BMI demonstrates superior prognostic performance compared to traditional cardiometabolic indices for predicting sepsis and 30-day mortality in palliative care, with exceptional discriminative ability in diabetic patients.

Indexed as

Palliative CareSepsisTriglyceridesAgedBlood GlucoseBody Mass IndexDiabetes MellitusFemaleHumansMaleMiddle AgedPrognosisRespiration, ArtificialRetrospective StudiesROC CurveBlood GlucoseTriglycerides

Identifiers

PMID42102173
PMCPMC13155664

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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 Socratic graph.