Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Base de dados
Assunto principal
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
J Asthma ; 59(5): 851-858, 2022 05.
Artigo em Inglês | MEDLINE | ID: mdl-33504226

RESUMO

OBJECTIVE: There are varying reports of the prevalence and effect of comorbid asthma in coronavirus disease-2019 (COVID-19) patients. We sought to conduct a meta-analysis comparing asthmatic and non-asthmatic patients to determine the clinical significance of preexisting asthma in COVID-19 patients. DATA SOURCES: Online databases PubMed, ScienceDirect, Web of Science, and Scopus, were searched up to July 15, 2020, for papers comparing asthma versus non-asthma COVID-19 patients. STUDY SELECTION: According to prespecified inclusion criteria, this analysis included eleven retrospective studies with 107,983 COVID-19 patients. Subgroup analysis was performed based on age groups. RESULTS: The mean age of the patients was 59.9 years (95%CI = 51.9-67.9). Across studies, the prevalence of asthma was 11.2% (95%CI: 9.1%-13.3%) among COVID-19 patients who attended the hospitals. Asthma patients were more likely to be younger (SMD = -0.36, 95%CI = -0.61 to -0.10, p = 0.005), and obese (OR = 1.98, 95%CI = 1.54-2.55, p < 0.001), there was no differential risk of hospitalization rate, ICU admission, or development of acute respiratory distress syndrome (ARDS) between asthmatic and non-asthmatic cohorts. However, asthmatic patients had increased risk of endotracheal intubation (RR = 1.27, 95%CI = 1.02-1.58, p = 0.030) especially patients aged <50 years (RR = 6.68, 95%CI = 1.76-11.13, p = 0.009). Despite this result, asthmatic patients had better recovery with a higher liability of being discharged and were less likely to die (RR = 0.80, 95%CI = 0.65-0.97, p = 0.026). CONCLUSION: To our knowledge, our meta-analysis is the largest to shed light on preexisting asthma as a predictor of intubation in COVID-19, especially in young and obese patients. Identifying high-risk groups is crucial for designing more effective intervention plans and optimization of efficient resource allocation.


Assuntos
Asma , COVID-19 , Asma/epidemiologia , COVID-19/epidemiologia , COVID-19/terapia , Humanos , Pessoa de Meia-Idade , Obesidade/epidemiologia , Estudos Retrospectivos , SARS-CoV-2
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA