Obesity as a predictor for adverse outcomes among COVID-19 patients : A meta-analysis
Background: This meta-analysis sought to determine the estimated association between obesity and adverse outcomes among COVID-19 patients.
Methods: We followed the recommended PRISMA guidelines. A systematic literature search was conducted in PubMed, Google Scholar, and ScienceDirect for published literature between December 1, 2019, and October 2, 2020. The data for the study were pooled from studies that contained the search terms "Obesity" AND (COVID-19 or 2019-nCoV or Coronavirus or SARS-CoV-2) AND ("ICU admission" OR "Hospitalization" OR "Disease severity" OR "Invasive mechanical ventilator" OR "Death" OR "Mortality"). All the online searches were supplemented by reference screening of retrieved studies for additional literature. The pooled odds ratio (OR) and confidence intervals (CI) from the retrieved studies were calculated using the random effect model (Inverse-Variance method).
Findings: Five studies with a combined sample size of 335,192 patients were included in the meta-analysis. The pooled OR from the final analysis showed that patients who are severely obese were more likely to experience adverse outcome (death or ICU admission or needing IMV or hospitalization) compared to the normal patients [OR = 2.81, 95% CI = 2.33 - 3.40, I 2 = 29%].
Conclusion: Severe obesity is a risk factor in developing adverse outcomes among COVID-19 patients. The finding of the study signifies promotive, preventive, and curative attention to be accorded patients diagnosed with severe obesity and COVID-19.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2020 |
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| Enthalten in: |
medRxiv : the preprint server for health sciences - (2020) vom: 30. Nov. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Das, Pranta [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Revised 19.10.2023 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1101/2020.11.27.20239616 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM325628335 |
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| 245 | 1 | 0 | |a Obesity as a predictor for adverse outcomes among COVID-19 patients |b A meta-analysis |
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| 500 | |a Date Revised 19.10.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Background: This meta-analysis sought to determine the estimated association between obesity and adverse outcomes among COVID-19 patients | ||
| 520 | |a Methods: We followed the recommended PRISMA guidelines. A systematic literature search was conducted in PubMed, Google Scholar, and ScienceDirect for published literature between December 1, 2019, and October 2, 2020. The data for the study were pooled from studies that contained the search terms "Obesity" AND (COVID-19 or 2019-nCoV or Coronavirus or SARS-CoV-2) AND ("ICU admission" OR "Hospitalization" OR "Disease severity" OR "Invasive mechanical ventilator" OR "Death" OR "Mortality"). All the online searches were supplemented by reference screening of retrieved studies for additional literature. The pooled odds ratio (OR) and confidence intervals (CI) from the retrieved studies were calculated using the random effect model (Inverse-Variance method) | ||
| 520 | |a Findings: Five studies with a combined sample size of 335,192 patients were included in the meta-analysis. The pooled OR from the final analysis showed that patients who are severely obese were more likely to experience adverse outcome (death or ICU admission or needing IMV or hospitalization) compared to the normal patients [OR = 2.81, 95% CI = 2.33 - 3.40, I 2 = 29%] | ||
| 520 | |a Conclusion: Severe obesity is a risk factor in developing adverse outcomes among COVID-19 patients. The finding of the study signifies promotive, preventive, and curative attention to be accorded patients diagnosed with severe obesity and COVID-19 | ||
| 650 | 4 | |a Preprint | |
| 700 | 1 | |a Samad, Nandeeta |e verfasserin |4 aut | |
| 700 | 1 | |a Seidu, Abdul-Aziz |e verfasserin |4 aut | |
| 700 | 1 | |a Aboagye, Richard Gyan |e verfasserin |4 aut | |
| 700 | 1 | |a Tetteh, Justice Kanor |e verfasserin |4 aut | |
| 700 | 1 | |a Ahinkorah, Bright Opoku |e verfasserin |4 aut | |
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