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1.
Eat Weight Disord ; 27(1): 345-359, 2022 Feb.
Artículo en Inglés | MEDLINE | ID: covidwho-1169065

RESUMEN

PURPOSE: Chest X-ray (CXR) severity score and BMI-based obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score has not yet been fully explored. METHODS: This retrospective cohort study analyzed the association of different adiposity indexes, including waist circumference and body mass index (BMI), with CXR severity score in 215 hospitalized patients with COVID-19. RESULTS: Patients with abdominal obesity showed significantly higher CXR severity scores and had higher rates of CXR severity scores ≥ 8 compared to those without abdominal obesity (P < 0.001; P = 0.001, respectively). By contrast, patients with normal weight, with overweight and those with BMI-based obesity showed no significant differences in either CXR severity scores or in the rates of CXR severity scores ≥ 8 (P = 0.104; P = 0.271, respectively). Waist circumference and waist-to-height ratio (WHtR) correlated more closely with CXR severity scores than BMI (r = 0.43, P < 0.001; r = 0.41, P < 0.001; r = 0.17, P = 0.012, respectively). The area under the curves (AUCs) for waist circumference and WHtR were significantly higher than that for BMI in identifying a high CXR severity score (≥ 8) (0.68 [0.60-0.75] and 0.67 [0.60-0.74] vs 0.58 [0.51-0.66], P = 0.001). A multivariate analysis indicated abdominal obesity (risk ratio: 1.75, 95% CI: 1.25-2.45, P < 0.001), bronchial asthma (risk ratio: 1.73, 95% CI: 1.07-2.81, P = 0.026) and oxygen saturation at admission (risk ratio: 0.96, 95% CI: 0.94-0.97, P < 0.001) as the only independent factors associated with high CXR severity scores. CONCLUSION: Abdominal obesity phenotype is associated with a high CXR severity score better than BMI-based obesity in hospitalized patients with COVID-19. Therefore, when visiting the patient in a hospital setting, waist circumference should be measured, and patients with abdominal obesity should be monitored closely. Level of evidence Cross-sectional descriptive study, Level V.


Asunto(s)
COVID-19 , Obesidad Abdominal , Índice de Masa Corporal , Estudios Transversales , Humanos , Obesidad/complicaciones , Obesidad/diagnóstico por imagen , Obesidad Abdominal/complicaciones , Obesidad Abdominal/diagnóstico por imagen , Fenotipo , Estudios Retrospectivos , Factores de Riesgo , SARS-CoV-2 , Circunferencia de la Cintura , Rayos X
2.
Clin Nutr ; 40(4): 2420-2426, 2021 04.
Artículo en Inglés | MEDLINE | ID: covidwho-893701

RESUMEN

BACKGROUND & AIMS: Coronavirus disease 2019 (COVID-19) may associate with clinical manifestations, ranging from alterations in smell and taste to severe respiratory distress requiring intensive care, that might associate with weight loss and malnutrition. We aimed to assess the incidence of unintentional weight loss and malnutrition in COVID-19 survivors. METHODS: In this post-hoc analysis of a prospective observational cohort study, we enrolled all adult (age ≥18 years) patients with a confirmed diagnosis of COVID-19 who had been discharged home from either a medical ward or the Emergency Department of San Raffaele University Hospital, and were re-evaluated after remission at the Outpatient COVID-19 Follow-Up Clinic of the same Institution from April 7, 2020, to May 11, 2020. Demographic, anthropometric, clinical and biochemical parameters upon admission were prospectively collected. At follow-up, anthropometrics, the mini nutritional assessment screening and a visual analogue scale for appetite were assessed. RESULTS: A total of 213 patients were included in the analysis (33% females, median age 59.0 [49.5-67.9] years, 70% overweight/obese upon initial assessment, 73% hospitalised). Sixty-one patients (29% of the total, and 31% of hospitalised patients vs. 21% of patients managed at home, p = 0.14) had lost >5% of initial body weight (median weight loss 6.5 [5.0-9.0] kg, or 8.1 [6.1-10.9]%). Patients who lost weight had greater systemic inflammation (C-reactive protein 62.9 [29.0-129.5] vs.48.7 [16.1-96.3] mg/dL; p = 0.02), impaired renal function (23.7% vs. 8.7% of patients; p = 0.003) and longer disease duration (32 [27-41] vs. 24 [21-30] days; p = 0.047) as compared with those who did not lose weight. At multivariate logistic regression analysis, only disease duration independently predicted weight loss (OR 1.05 [1.01-1.10] p = 0.022). CONCLUSIONS: COVID-19 might negatively impact body weight and nutritional status. In COVID-19 patients, nutritional evaluation, counselling and treatment should be implemented at initial assessment, throughout the course of disease, and after clinical remission. CLINICALTRIALS. GOV REGISTRATION: NCT04318366.


Asunto(s)
COVID-19/epidemiología , Desnutrición/epidemiología , Estado Nutricional , Pérdida de Peso , Adulto , Anciano , Atención Ambulatoria/estadística & datos numéricos , Antropometría , Estudios de Cohortes , Femenino , Hospitalización/estadística & datos numéricos , Humanos , Italia/epidemiología , Masculino , Persona de Mediana Edad , Estudios Prospectivos , SARS-CoV-2
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