Characteristics of each prospective cohort of clinical cases, analysis and main findings on post-COVID-19 respiratory outcomes

PopulationFollow upAnalysisMain findings
Vigeland TV, et al. [9]103 patients across 6 medical centers in Norway3 months (~90 days) after admissionDescriptive analysis of patients based on ICU admission. Univariate logistic model for severity indices and respiratory outcomes. Multivariate logistic model for respiratory outcomes related to ICU stay.Approximately 50% patients presented persistent dyspnoea on exertion, and 25% reduced diffusion lung capacity for carbon monoxide (DLCO). Participants admitted to ICU during hospitalisation presented more CT abnormalities and reported more problems in daily-life activities, but similar lung function and self-reported dyspnoea to those not admitted to ICU.
Sonnweber T, et al. [10]145 patients across 4 medical centers in Austria.60, and 100 days after admissionOverall and subgroup descriptive analyses for time-related differences. Secondary analyses using adjusted generalised linear models to account for time-series.Major improvement of symptoms over time, however, 41% patients presented symptoms after 100 days: most frequently dyspnoea (36%), and impaired lung function (21%). Small proportion of patients with cardiac impairment or pulmonary hypertension. Frequent finding in CT scans of lung pathologies (63%) without fibrosis
Guler SA, et al. [11]113 patients across 9 medical centers in Switzerland4 months (~120 days) after dischargeDescriptive analysis of patient's outcomes stratified into mild and severe cases. Adjusted logistic models for radiological features related to disease severityDLCO-percent predicted identified as the single most important factor associated with severe/critical COVID-19 translated to reduced walking distance and oxygen desaturation on exercise. Presence of mosaic hypoattenuation on chest CT at follow-up was significantly associated with previous severe/critical COVID-19