Blood Hemoglobin Substantially Modulates the Impact of Gender, Morbid Obesity, and Hyperglycemia on COVID-19 Death Risk: A Multicenter Study in Italy and Spain.

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2021-11-02

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Mayneris-Perxachs, Jordi
Russo, Maria Francesca
Ramos, Rafel
de Hollanda, Ana
Arxé, Arola Armengou
Rottoli, Matteo
Arnoriaga-Rodríguez, María
Comas-Cufí, Marc
Bartoletti, Michele
Verrastro, Ornella

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Abstract

Hyperglycemia and obesity are associated with a worse prognosis in subjects with COVID-19 independently. Their interaction as well as the potential modulating effects of additional confounding factors is poorly known. Therefore, we aimed to identify and evaluate confounding factors affecting the prognostic value of obesity and hyperglycemia in relation to mortality and admission to the intensive care unit (ICU) due to COVID-19. Consecutive patients admitted in two Hospitals from Italy (Bologna and Rome) and three from Spain (Barcelona and Girona) as well as subjects from Primary Health Care centers. Mortality from COVID-19 and risk for ICU admission were evaluated using logistic regression analyses and machine learning (ML) algorithms. As expected, among 3,065 consecutive patients, both obesity and hyperglycemia were independent predictors of ICU admission. A ML variable selection strategy confirmed these results and identified hyperglycemia, blood hemoglobin and serum bilirubin associated with increased mortality risk. In subjects with blood hemoglobin levels above the median, hyperglycemic and morbidly obese subjects had increased mortality risk than normoglycemic individuals or non-obese subjects. However, no differences were observed among individuals with hemoglobin levels below the median. This was particularly evident in men: those with severe hyperglycemia and hemoglobin concentrations above the median had 30 times increased mortality risk compared with men without hyperglycemia. Importantly, the protective effect of female sex was lost in subjects with increased hemoglobin levels. Blood hemoglobin substantially modulates the influence of hyperglycemia on increased mortality risk in patients with COVID-19. Monitoring hemoglobin concentrations seem of utmost importance in the clinical settings to help clinicians in the identification of patients at increased death risk.

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Adult
Aged
Aged, 80 and over
COVID-19
Comorbidity
Female
Glycated Hemoglobin
Hospital Mortality
Humans
Hyperglycemia
Incidence
Italy
Male
Middle Aged
Obesity, Morbid
Prognosis
Retrospective Studies
Risk
Sex Factors
Spain
Survival Rate

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Keywords

COVID-19, epidemiology, hemoglobin, hyperglycemia, machine learning, mortality, obesity

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