Prevalence of potential respiratory symptoms in survivors of hospital admission after coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.
Kevin Cares-MarambioYessenia Montenegro-JiménezRodrigo Torres-CastroRoberto Vera-UribeYolanda TorralbaXavier Alsina-RestoyLuis Vasconcello-CastilloJordi VilaróPublished in: Chronic respiratory disease (2021)
Knowledge on the sequelae of Coronavirus Disease 2019 (COVID-19) remains limited due to the relatively recent onset of this pathology. However, the literature on other types of coronavirus infections prior to COVID-19 reports that patients may experience persistent symptoms after discharge. To determine the prevalence of respiratory symptoms in survivors of hospital admission after COVID-19 infection. A living systematic review of five databases was performed in order to identify studies which reported the persistence of respiratory symptoms in COVID-19 patients after discharge. Two independent researchers reviewed and analysed the available literature, and then extracted and assessed the quality of those articles. Of the 1,154 reports returned by the initial search nine articles were found, in which 1,816 patients were included in the data synthesis. In the pooled analysis, we found a prevalence of 0.52 (CI 0.38-0.66, p < 0.01, I 2 = 97%), 0.37 (CI 0.28-0.48, p < 0.01, I 2 = 93%), 0.16 (CI 0.10-0.23, p < 0.01, I 2 = 90%) and 0.14 (CI 0.06-0.24, p < 0.01, I 2 = 96%) for fatigue, dyspnoea, chest pain, and cough, respectively. Fatigue, dyspnoea, chest pain, and cough were the most prevalent respiratory symptoms found in 52%, 37%, 16% and 14% of patients between 3 weeks and 3 months, after discharge in survivors of hospital admission by COVID-19, respectively.
Keyphrases
- coronavirus disease
- sars cov
- systematic review
- end stage renal disease
- healthcare
- ejection fraction
- newly diagnosed
- chronic kidney disease
- sleep quality
- emergency department
- prognostic factors
- respiratory syndrome coronavirus
- adverse drug
- machine learning
- risk assessment
- quality improvement
- depressive symptoms
- electronic health record
- physical activity
- big data