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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
2.
PLoS One ; 16(10): e0258095, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34610034

RESUMO

INTRODUCTION: Several studies have described typical clinical manifestations, including fever, cough, diarrhea, and fatigue with COVID-19 infection. However, there are limited data on the association between the presence of neurological manifestations on hospital admission, disease severity, and outcomes. We sought to investigate this correlation to help understand the disease burden. METHODS: We delivered a multi-center retrospective study of positive laboratory-confirmed COVID-19 patients. Clinical presentation, laboratory values, complications, and outcomes data were reported. Our findings of interest were Intensive Care Unit (ICU) admission, intubation, mechanical ventilation, and in-hospital mortality. RESULTS: A total of 502 patients with a mean age of 60.83 ± 15.5 years, of them 71 patients (14.14%) presented with altered mental status, these patients showed higher odds of ICU admission (OR = 2.06, 95%CI = 1.18 to 3.59, p = 0.01), mechanical ventilation (OR = 3.28, 95%CI = 1.86 to 5.78, p < 0.001), prolonged (>4 days) mechanical ventilation (OR = 4.35, 95%CI = 1.89 to 10, p = 0.001), acute kidney injury (OR = 2.18, 95%CI = 1.28 to 3.74, p = 0.004), and mortality (HR = 2.82, 95%CI = 1.49 to 5.29, p = 0.01). CONCLUSION: This cohort study found that neurological presentations are associated with higher odds of adverse events. When examining patients with neurological manifestations, clinicians should suspect COVID-19 to avoid delayed diagnosis or misdiagnosis and lose the chance to treat and prevent further transmission.


Assuntos
COVID-19/psicologia , Transtornos Mentais/patologia , Injúria Renal Aguda/etiologia , Adulto , Idoso , COVID-19/mortalidade , COVID-19/patologia , COVID-19/virologia , Estudos de Coortes , Feminino , Mortalidade Hospitalar , Hospitalização , Humanos , Unidades de Terapia Intensiva , Tempo de Internação , Masculino , Transtornos Mentais/etiologia , Pessoa de Meia-Idade , Razão de Chances , Modelos de Riscos Proporcionais , Respiração Artificial , Estudos Retrospectivos , Fatores de Risco , SARS-CoV-2/isolamento & purificação
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