Clinical symptoms, comorbidities and complications in severe and non-severe patients with COVID-19: A systematic review and meta-analysis without cases duplication.
Medicine (Baltimore)
; 99(48): e23327, 2020 Nov 25.
Artículo
en Inglés
| MEDLINE | ID: covidwho-944497
ABSTRACT
BACKGROUND:
The pandemic of COVID-19 poses a challenge to global healthcare. The mortality rates of severe cases range from 8.1% to 38%, and it is particularly important to identify risk factors that aggravate the disease.METHODS:
We performed a systematic review of the literature with meta-analysis, using 7 databases to identify studies reporting on clinical characteristics, comorbidities and complications in severe and non-severe patients with COVID-19. All the observational studies were included. We performed a random or fixed effects model meta-analysis to calculate the pooled proportion and 95% confidence interval (CI). Measure of heterogeneity was estimated by Cochran's Q statistic, I index and P value.RESULTS:
A total of 4881 cases from 25 studies related to COVID-19 were included. The most prevalent comorbidity was hypertension (severe 33.4%, 95% CI 25.4%-41.4%; non-severe 21.6%, 95% CI 9.9%-33.3%), followed by diabetes (severe 14.4%, 95% CI 11.5%-17.3%; non-severe 8.5%, 95% CI 6.1%-11.0%). The prevalence of acute respiratory distress syndrome, acute kidney injury and shock were all higher in severe cases, with 41.1% (95% CI 14.1%-68.2%), 16.4% (95% CI 3.4%-29.5%) and 19.9% (95% CI 5.5%-34.4%), rather than 3.0% (95% CI 0.6%-5.5%), 2.2% (95% CI 0.1%-4.2%) and 4.1% (95% CI -4.8%-13.1%) in non-severe patients, respectively. The death rate was higher in severe cases (30.3%, 95% CI 13.8%-46.8%) than non-severe cases (1.5%, 95% CI 0.1%-2.8%).CONCLUSION:
Hypertension, diabetes and cardiovascular diseases may be risk factors for severe COVID-19.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
COVID-19
Tipo de estudio:
Estudio observacional
/
Estudio pronóstico
/
Ensayo controlado aleatorizado
/
Revisiones
/
Revisión sistemática/Meta análisis
Límite:
Humanos
Idioma:
Inglés
Revista:
Medicine (Baltimore)
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
Md.0000000000023327
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