Evidence map›Paper›PMID 42075062›Full record

Observational studyNutrients2026

Incremental Prognostic Value of the CONUT Score for In-Hospital Mortality and Length of Stay in Hospitalized Patients.

Jose M Romero-Márquez, Cristina Novo-Rodríguez, María Hayón-Ponce, María Novo-Rodríguez, Araceli Muñoz-Garach, Victoria Luna-López, Carmen Tenorio-Jiménez

Abstract readObservational Study
In one paragraph

Observational study in Nutrients, 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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2 · The registry

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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

7 authors.

Jose M Romero-MárquezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.ORCID 0000-0001-7033-969X
Cristina Novo-RodríguezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.ORCID 0000-0002-7765-6695
María Hayón-PonceDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.ORCID 0009-0005-6442-9521
María Novo-RodríguezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Araceli Muñoz-GarachDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.ORCID 0000-0002-1867-1158
Victoria Luna-LópezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Carmen Tenorio-JiménezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.ORCID 0000-0002-1773-6036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease-related malnutrition is highly prevalent among hospitalized patients and is associated with increased mortality, complications, and prolonged hospital stays. Early identification of patients at nutritional risk is therefore essential to improve clinical outcomes. The Controlling Nutritional Status (CONUT) score is an objective prognostic immunometabolic marker derived from serum albumin, total cholesterol, and lymphocyte count. This study aimed to evaluate the prognostic value of the CONUT score for in-hospital mortality and length of hospital stay (LOS) in hospitalized patients with moderate-to-severe nutritional risk and to determine whether incorporating CONUT improves the predictive performance of a clinical model based on routine admission variables.

methodsA retrospective observational cohort study was conducted, including 671 adult patients admitted to a tertiary university hospital with CONUT ≥ 6. Multivariable logistic regression was used to assess predictors of in-hospital mortality, while LOS was analyzed using multivariable linear regression. Model discrimination was evaluated using receiver operating characteristic (ROC) curve analysis and comparison of the area under the curve (AUC).

resultsHigher CONUT scores were independently associated with increased in-hospital mortality. Each one-point increase in CONUT was associated with 28% higher odds of death (OR 1.28; 95% CI 1.13-1.46;

conclusionsthe CONUT score is independently associated with in-hospital mortality and prolonged hospitalization. While its incremental discriminative improvement is modest, its automated calculation from routine laboratory data makes it a practical and scalable tool for early risk stratification.

Indexed as

Hospital MortalityLength of StayMalnutritionNutritional StatusNutrition AssessmentAgedAged, 80 and overBiomarkersCholesterolFemaleHospitalizationHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsBiomarkersCholesterolSerum AlbuminCONUT scorehospital outcomesimmunometabolic markerin-hospital mortalitylength of stayprognostic biomarkersrisk stratification

Identifiers

PMID42075062
PMCPMC13118508

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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.