دورية أكاديمية
أعرض في EDS

Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes.

التفاصيل البيبلوغرافية
العنوان: Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes.
المؤلفون: Nanda S; Mayo Clinic, Rochester, MN, USA., Chacin Suarez AS; Mayo Clinic, Rochester, MN, USA., Toussaint L; Luther College, Decorah, IA, USA., Vincent A; Mayo Clinic, Rochester, MN, USA., Fischer KM; Mayo Clinic, Rochester, MN, USA., Hurt R; Mayo Clinic, Rochester, MN, USA., Schroeder DR; Mayo Clinic, Rochester, MN, USA., Medina Inojosa JR; Mayo Clinic, Rochester, MN, USA., O'Horo JC; Mayo Clinic, Rochester, MN, USA., DeJesus RS; Mayo Clinic, Rochester, MN, USA., Abu Lebdeh HS; Mayo Clinic, Rochester, MN, USA., Mundi MS; Mayo Clinic, Rochester, MN, USA., Iftikhar S; Mayo Clinic, Rochester, MN, USA., Croghan IT; Mayo Clinic, Rochester, MN, USA.
المصدر: Journal of primary care & community health [J Prim Care Community Health] 2021 Jan-Dec; Vol. 12, pp. 21501327211018559.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Sage Publications Country of Publication: United States NLM ID: 101518419 Publication Model: Print Cited Medium: Internet ISSN: 2150-1327 (Electronic) Linking ISSN: 21501319 NLM ISO Abbreviation: J Prim Care Community Health Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Thousand Oaks, CA : Sage Publications
مواضيع طبية MeSH: COVID-19/*mortality , Hospitalization/*statistics & numerical data , Obesity/*epidemiology, Body Mass Index ; COVID-19/complications ; COVID-19 Testing ; Comorbidity ; Female ; Humans ; Male ; Morbidity ; Obesity/complications ; Pandemics ; Prognosis ; Proportional Hazards Models ; Retrospective Studies ; Risk Factors ; SARS-CoV-2 ; Severity of Illness Index
مستخلص: Purpose: The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes.
Patients: Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens.
Measures: Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death.
Results: Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P  < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P  = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes.
Conclusion: Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.
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فهرسة مساهمة: Keywords: BMI; COVID-19; Risk Score; comorbidity; obesity; pandemic
تواريخ الأحداث: Date Created: 20210524 Date Completed: 20210615 Latest Revision: 20210615
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC8150439
DOI: 10.1177/21501327211018559
PMID: 34024181
قاعدة البيانات: MEDLINE
الوصف
تدمد:2150-1327
DOI:10.1177/21501327211018559