2021
DOI: 10.1136/bmjopen-2020-044526
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The relationship between obesity, hemoglobin A1c and the severity of COVID-19 at an urban tertiary care center in New York City: a retrospective cohort study

Abstract: ObjectivesTo determine if obesity and diabetes are risk factors for severe outcomes in COVID-19 and to compare patient outcomes in those two conditions.DesignRetrospective cohort study.SettingUrban tertiary care center in New York City.Participants302 patients admitted in an inpatient setting, ≥18 years old, with a laboratory-confirmed diagnosis of COVID-19 via nasal PCR swab were randomly selected. Patients were separated into two cohorts based on their body mass index and hemoglobin A1c. 150 patients were pl… Show more

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Cited by 10 publications
(12 citation statements)
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“… 19 , 39 It may also reflect our real‐world cohort consisting of those presenting with an elevated BMI from suburban New York, which likely differs from previous study cohorts. 40 Furthermore, similar to other recently published cohorts of hospitalized COVID‐19 patients, 32 , 41 , 42 , 43 , 44 , 45 , 46 , 47 the present study did not demonstrate an association between BMI and poor COVID‐19 outcomes. This difference between earlier studies and more recent work may reflect better defined cohorts that enable a more nuanced analysis of the association between BMI and COVID‐19‐related outcomes such that the appropriate adjustments can be made for the effects of obesity‐related comorbidities.…”
Section: Discussionsupporting
confidence: 91%
“… 19 , 39 It may also reflect our real‐world cohort consisting of those presenting with an elevated BMI from suburban New York, which likely differs from previous study cohorts. 40 Furthermore, similar to other recently published cohorts of hospitalized COVID‐19 patients, 32 , 41 , 42 , 43 , 44 , 45 , 46 , 47 the present study did not demonstrate an association between BMI and poor COVID‐19 outcomes. This difference between earlier studies and more recent work may reflect better defined cohorts that enable a more nuanced analysis of the association between BMI and COVID‐19‐related outcomes such that the appropriate adjustments can be made for the effects of obesity‐related comorbidities.…”
Section: Discussionsupporting
confidence: 91%
“…Our search was limited by published full-text article in English language. Most studies investigating this association used BMI categories as the predictor variable [24][25][26][27][28][29][30][31][32][33][34][35][36][37]. Four cross-sectional studies did not specify the used classification of obesity [38][39][40][41] presumably using the WHO guidelines defining obesity as BMI of 30 or higher.…”
Section: Obesity and Covid-19 Disease Severitymentioning
confidence: 99%
“…Four cross-sectional studies did not specify the used classification of obesity [38][39][40][41] presumably using the WHO guidelines defining obesity as BMI of 30 or higher. Outcome variables included: hospitalization [36,38,42], ICU admission [31,35,37,38,[43][44][45], intubation [24,25,29,37,38], invasive mechanical ventilation [26,31,34], disease severity [27,28,30,33] and death [24][25][26][27][28][29]32,[38][39][40][41]. Of the eleven studies investigating the association between BMI and mortality in hospitalized COVID-19 patients, ten studies observed an increased mortality rate in patients that were overweight (BMI ≥ 25 to <30) [24,32], or suffering from obesity (BMI ≥ 30) [25,29,[38][39][40][41], or severe obesity (BMI ≥ 35) [26,…”
Section: Obesity and Covid-19 Disease Severitymentioning
confidence: 99%
“…From the beginning of the spread of SARS-CoV-2 infection, it was clear that people responded to the infection in different ways, from asymptomatic condition to severe multiple organ symptoms. From the very beginning, the presence of comorbidities was recognised as giving an increased risk of developing severe COVID-19, particularly for cardiovascular diseases, diabetes, and obesity [111][112][113][114]. Many reviews have been published on COVID-19 and comorbidities.…”
Section: What Makes the Difference Between Asymptomatic And Mild/severe Symptomatic Infected Patients?mentioning
confidence: 99%
“…Clinical and biochemical features involved in disease symptom severity in SARS-CoV-2 infected subjects. Above, the role of primary factors of risk (clinical features: age, diabetes, cardiovascular diseases, and obesity [111][112][113][114]125,150]) for severe disease are shown. Below, other factors (biochemical features: levels of vitamin D, statins, interferon activity, and G6PD [132][133][134]138,140,145]) that are suggested to be involved in COVID-19 severity are summarised.…”
Section: What Makes the Difference Between Asymptomatic And Mild/severe Symptomatic Infected Patients?mentioning
confidence: 99%