Abstract
Objectives: COVID-19 has a varied clinical presentation. Elderly patients with comorbidities are more vulnerable to severe disease. This study identifies specific symptoms and comorbidities predicting severe COVID-19 and intensive care unit (ICU) admission.
Methods: A literature search identified studies indexed in MEDLINE, EMBASE and Global Health before 5th March 2020. Two reviewers independently screened the literature and extracted data. Quality appraisal was performed using STROBE criteria. Random effects meta-analysis identified symptoms and comorbidities associated with severe COVID-19 or ICU admission.
Results: Seven studies (including 1813 COVID-19 patients) were included. ICU patients were older (62.4 years) than non-ICU (46 years), with a greater proportion of males. Dyspnoea was the only symptom predictive for severe disease (pOR 3.70, 95% CI 1.83–7.46) and ICU admission (pOR 6.55, 95% CI 4.28–10.0). COPD was the strongest predictive comorbidity for severe disease (pOR 6.42, 95% CI 2.44–16.9) and ICU admission (pOR 17.8, 95% CI 6.56–48.2), followed by cardiovascular disease and hypertension.
Conclusions: Dyspnoea was the only symptom predictive for severe COVID-19 and ICU admission. Patients with COPD, cardiovascular disease and hypertension were at higher risk of severe illness and ICU admission.
Original language | English |
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Pages (from-to) | 533-546 |
Number of pages | 14 |
Journal | International Journal of Public Health |
Volume | 65 |
Issue number | 5 |
Early online date | 25 May 2020 |
DOIs | |
Publication status | Published - 1 Jun 2020 |
Bibliographical note
Funding Information: The authors received no specific funding for this work.Open Access: Free to read, but no Open Access licence
Publisher Copyright: © 2020, Swiss School of Public Health (SSPH+).
Citation: Jain, V., Yuan, JM. Predictive symptoms and comorbidities for severe COVID-19 and intensive care unit admission: a systematic review and meta-analysis. Int J Public Health 65, 533–546 (2020).
DOI: https://doi.org/10.1007/s00038-020-01390-7
Keywords
- COVID-19
- Disease severity
- Epidemiology
- Novel coronavirus
- Public health
- Risk factors