Usefulness of the CONUT index upon hospital admission as a potential prognostic indicator of COVID-19 health outcomes.

Autor:	Bengelloun AK; Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain., Ortega GJ; Unidad de Análisis de Datos, Instituto de Investigación Sanitaria del Hospital de la Princesa, Madrid, Spain., Ancochea J; Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.; Servicios de Neumología, Admisión y Documentación Clínica, Cuidados Intensivos y Nutrición y Dietética; Hospital Universitario de La Princesa, Madrid, Spain.; Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, España, Spain., Sanz-Garcia A; Unidad de Análisis de Datos, Instituto de Investigación Sanitaria del Hospital de la Princesa, Madrid, Spain., Rodríguez-Serrano DA; Servicios de Neumología, Admisión y Documentación Clínica, Cuidados Intensivos y Nutrición y Dietética; Hospital Universitario de La Princesa, Madrid, Spain., Fernández-Jiménez G; Servicios de Neumología, Admisión y Documentación Clínica, Cuidados Intensivos y Nutrición y Dietética; Hospital Universitario de La Princesa, Madrid, Spain., Girón R; Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.; Servicios de Neumología, Admisión y Documentación Clínica, Cuidados Intensivos y Nutrición y Dietética; Hospital Universitario de La Princesa, Madrid, Spain.; Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, España, Spain., Ávalos E; Servicios de Neumología, Admisión y Documentación Clínica, Cuidados Intensivos y Nutrición y Dietética; Hospital Universitario de La Princesa, Madrid, Spain., Soriano JB; Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.; Servicios de Neumología, Admisión y Documentación Clínica, Cuidados Intensivos y Nutrición y Dietética; Hospital Universitario de La Princesa, Madrid, Spain.; Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, España, Spain., de Ulíbarri JI; Servicios de Neumología, Admisión y Documentación Clínica, Cuidados Intensivos y Nutrición y Dietética; Hospital Universitario de La Princesa, Madrid, Spain.
Jazyk:	angličtina
Zdroj:	Chinese medical journal [Chin Med J (Engl)] 2021 Oct 26; Vol. 135 (2), pp. 187-193. Date of Electronic Publication: 2021 Oct 26.
DOI:	10.1097/CM9.0000000000001798
Abstrakt:	Background: In-hospital mortality in patients with coronavirus disease 2019 (COVID-19) is high. Simple prognostic indices are needed to identify patients at high-risk of COVID-19 health outcomes. We aimed to determine the usefulness of the CONtrolling NUTritional status (CONUT) index as a potential prognostic indicator of mortality in COVID-19 patients upon hospital admission. Methods: Our study design is of a retrospective observational study in a large cohort of COVID-19 patients. In addition to descriptive statistics, a Kaplan-Meier mortality analysis and a Cox regression were performed, as well as receiver operating curve (ROC). Results: From February 5, 2020 to January 21, 2021, there was a total of 2969 admissions for COVID-19 at our hospital, corresponding to 2844 patients. Overall, baseline (within 4 days of admission) CONUT index could be scored for 1627 (57.2%) patients. Patients' age was 67.3 ± 16.5 years and 44.9% were women. The CONUT severity distribution was: 194 (11.9%) normal (0-1); 769 (47.2%) light (2-4); 585 (35.9%) moderate (5-8); and 79 (4.9%) severe (9-12). Mortality of 30 days after admission was 3.1% in patients with normal risk CONUT, 9.0% light, 22.7% moderate, and 40.5% in those with severe CONUT (P < 0.05). An increased risk of death associated with a greater baseline CONUT stage was sustained in a multivariable Cox regression model (P < 0.05). An increasing baseline CONUT stage was associated with a longer duration of admission, a greater requirement for the use of non-invasive and invasive mechanical ventilation, and other clinical outcomes (all P < 0.05). The ROC of CONUT for mortality had an area under the curve (AUC) and 95% confidence interval of 0.711 (0.676-0746). Conclusion: The CONUT index upon admission is potentially a reliable and independent prognostic indicator of mortality and length of hospitalization in COVID-19 patients. (Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license.)
Databáze:	MEDLINE
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