Selected article for: "association study and possible association"

Author: Stefano, Mancin; Andrea, Bertone; Daniela, Cattani; Emanuela, Morenghi; Lorena, Passadori; Daniela, Donizetti; Sökeland, Fanny; Azzolini, Elena; Beatrice, Mazzoleni
Title: Malnutrition risk as a negative prognostic factor in COVID-19 patients
  • Cord-id: rwj0fkd6
  • Document date: 2021_8_2
  • ID: rwj0fkd6
    Snippet: Background/Objective SARS CoV-2 infection is a disease, whose prevalence has drastically risen in the past year. The aim of this study is to examine a possible association between the risk of malnutrition, clinical outcomes following hospitalisation and morbidity at discharge. Methods This study has analysed the medical records of 652 patients hospitalised at Humanitas Research Hospital (Milan, Italy) between 01/03 and 30/04/2020. The risk of malnutrition was identified with the Malnutrition Uni
    Document: Background/Objective SARS CoV-2 infection is a disease, whose prevalence has drastically risen in the past year. The aim of this study is to examine a possible association between the risk of malnutrition, clinical outcomes following hospitalisation and morbidity at discharge. Methods This study has analysed the medical records of 652 patients hospitalised at Humanitas Research Hospital (Milan, Italy) between 01/03 and 30/04/2020. The risk of malnutrition was identified with the Malnutrition Universal Screening Tool (MUST). Results The cohort was composed of 515 patients. The MUST scale is significantly associated to malnutrition evaluating the morbidity at discharge (discharged 0.27±0.68, discharged with problems 0.40±0.93, deceased 0.64±0.93, p<0.001), and the clinical outcome following hospitalisation (HR 1.25, 95% CI 1.04-1.51, p=0.019) is maintained even after correction for age, treated hypertension, admission to an intensive care unit and oxygen therapy). A subgroup analysis addressing patients with a BMI ≥ 30 shows a significant association between comorbidities such as: arterial hypertension (HR 4.95, 95% CI 1.10-22.22, p=0.037), diabetes (HR 3.37, 95% CI 1.04-10.89, p=0.043) and renal failure (HR 3.94, 95% CI 1.36-11.36, p=0.011). Conclusions The results of this study suggest that the risk of malnutrition is a noteworthy indicator that impacts both the clinical outcomes and morbidity at discharge.

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