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Abdominal obesity phenotype predicts covid-19 chest x-ray severity score better than general obesity
Obesity Facts ; 14(SUPPL 1):79, 2021.
Article in English | EMBASE | ID: covidwho-1255683
ABSTRACT

Introduction:

Chest x-ray (CXR) severity score and obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score is not 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 had significantly higher CXR severity scores (Figure 1A) and higher rates of these scores than those without abdominal obesity (P<0.001;P=0.001, respectively) while there were no significant differences between BMI classes (P=0.104;P=0.271, respectively) (Figure 1B). Waist circumference and waist-to-height ratio correlated more closely with CXR severity score than BMI (r=0.43, P<0.001;r=0.41, P<0.001;r=0.17, P=0.012, respectively). The AUCs for waist circumference and WHtR were significantly higher than those for BMI for distinguishing 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) (Figure 2). Multivariable 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 predictors of a high CXR severity score.

Conclusion:

Abdominal obesity might predict a high CXR severity score better than general obesity in hospitalized patients with COVID-19. Therefore, in hospital clinical practice waist circumference should be assessed and patients with abdominal obesity should be monitored closely.

Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Obesity Facts Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Obesity Facts Year: 2021 Document Type: Article