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Age-Adjusted Risk Factors Associated with Mortality and Mechanical Ventilation Utilization Amongst COVID-19 Hospitalizations-a Systematic Review and Meta-Analysis.
Patel, Urvish; Malik, Preeti; Usman, Muhammad Shariq; Mehta, Deep; Sharma, Ashish; Malik, Faizan Ahmad; Khan, Nashmia; Siddiqi, Tariq Jamal; Ahmed, Jawad; Patel, Achint; Sacks, Henry.
  • Patel U; Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 USA.
  • Malik P; Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 USA.
  • Usman MS; Department of Internal Medicine, Dow University of Health Sciences, Karachi, Pakistan.
  • Mehta D; Clinical Research Program, Icahn School of Medicine at Mount Sinai, New York, NY USA.
  • Sharma A; Department of Internal Medicine, Yuma Regional Medicine, Yuma, AZ USA.
  • Malik FA; Department of Internal Medicine, Texas Tech University Health Sciences Center at Permian Basin, Odessa, TX USA.
  • Khan N; Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 USA.
  • Siddiqi TJ; Department of Internal Medicine, Dow University of Health Sciences, Karachi, Pakistan.
  • Ahmed J; Department of Internal Medicine, Dow University of Health Sciences, Karachi, Pakistan.
  • Patel A; Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 USA.
  • Sacks H; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA.
SN Compr Clin Med ; 2(10): 1740-1749, 2020.
Article in English | MEDLINE | ID: covidwho-740989
ABSTRACT
The increasing COVID-19 cases in the USA have led to overburdening of healthcare in regard to invasive mechanical ventilation (IMV) utilization as well as mortality. We aim to identify risk factors associated with poor outcomes (IMV and mortality) of COVID-19 hospitalized patients. A meta-analysis of observational studies with epidemiological characteristics of COVID-19 in PubMed, Web of Science, Scopus, and medRxiv from December 1, 2019 to May 31, 2020 following MOOSE guidelines was conducted. Twenty-nine full-text studies detailing epidemiological characteristics, symptoms, comorbidities, complications, and outcomes were included. Meta-regression was performed to evaluate effects of comorbidities, and complications on outcomes using a random-effects model. The pooled correlation coefficient (r), 95% CI, and OR were calculated. Of 29 studies (12,258 confirmed cases), 17 reported IMV and 21 reported deaths. The pooled prevalence of IMV was 23.3% (95% CI 17.1-30.9%), and mortality was 13% (9.3-18%). The age-adjusted meta-regression models showed significant association of mortality with male (r 0.14; OR 1.15; 95% CI 1.07-1.23; I 2 95.2%), comorbidities including pre-existing cerebrovascular disease (r 0.35; 1.42 (1.14-1.77); I 2 96.1%), and chronic liver disease (r 0.08; 1.08 (1.01-1.17); I 2 96.23%), complications like septic shock (r 0.099; 1.10 (1.02-1.2); I 2 78.12%) and ARDS (r 0.04; 1.04 (1.02-1.06); I 2 90.3%), ICU admissions (r 0.03; 1.03 (1.03-1.05); I 2 95.21%), and IMV utilization (r 0.05; 1.05 (1.03-1.07); I 2 89.80%). Similarly, male (r 0.08; 1.08 (1.02-1.15); I 2 95%), comorbidities like pre-existing cerebrovascular disease (r 0.29; 1.34 (1.09-1.63); I 293.4%), and cardiovascular disease (r 0.28; 1.32 (1.1-1.58); I 2 89.7%) had higher odds of IMV utilization. COVID-19 patients with comorbidities including cardiovascular disease, cerebrovascular disease, and chronic liver disease had poor outcomes. Diabetes and hypertension had higher prevalence but no association with mortality and IMV. Our study results will be helpful in right allocation of resources towards patients who need them the most.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: SN Compr Clin Med Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: SN Compr Clin Med Year: 2020 Document Type: Article