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Obesity and Dysmetabolic Factors among Deceased COVID-19 Adults under 65 Years of Age in Italy: A Retrospective Case-Control Study

4Citations signalées — pas une note de qualité
7Institutions déclarées
1Pays d’affiliation déclarés

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BACKGROUND: Italy has witnessed high levels of COVID-19 deaths, mainly at the elderly age. We assessed the comorbidity and the biochemical profiles of consecutive patients ≤65 years of age to identify a potential risk profile for death. METHODS: We retrospectively analyzed clinical data from consecutive hospitalized-for-COVID-19 patients ≤65 years, who were died (593 patients) or discharged (912 patients) during February-December 2020. Multivariate logistic regression identified the mortality risk factors. RESULTS: Overweight (adjusted odds ratio (adjOR) 5.53, 95% CI 2.07-14.76), obesity (adjOR 8.58, CI 3.30-22.29), dyslipidemia (adjOR 10.02, 95% CI 1.06-94.22), heart disease (adjOR 17.68, 95% CI 3.80-82.18), cancer (adjOR 13.28, 95% CI 4.25-41.51) and male sex (adjOR 5.24, 95% CI 2.30-11.94) were associated with death risk in the youngest population. In the older population (46-65 years of age), the overweight and obesity were also associated with the death risk, however at a lower extent: the adjORs varyied from 1.49 to 2.36 for overweight patients and from 3.00 to 4.07 for obese patients. Diabetes was independently associated with death only in these older patients. CONCLUSION: Overweight, obesity and dyslipidemia had a pivotal role in increasing young individuals' death risk. Their presence should be carefully evaluated for prevention and/or prompt management of SARS-CoV2 infection in such high-risk patients to avoid the worst outcomes.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Obesity and Dysmetabolic Factors among Deceased COVID-19 Adults under 65 Years of Age in Italy: A Retrospective Case-Control Study
Date Crossref
07/09/2022
Éditeur
MDPI AG
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Sujets associés

COVID-19 Clinical Research StudiesNutrition and Health in AgingLong-Term Effects of COVID-19

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