Objective This study aimed to stratify the early pneumonia trajectory on chest radiographs and compare patient characteristics in dyspneic patients with coronavirus disease 2019 (COVID-19). Materials and methods We retrospectively included 139 COVID-19 patients with dyspnea (87 men, 62.7±16.3 years) and serial chest radiographs from January to September 2020. Radiographic pneumonia extent was quantified as a percentage using a previously-developed deep learning algorithm. A group-based trajectory model was used to categorize the pneumonia trajectory after symptom onset during hospitalization. Clinical findings, and outcomes were compared, and Cox regression was performed for survival analysis. Results Radiographic pneumonia trajectories were categorized into four groups. Group 1 (n = 83, 59.7%) had negligible pneumonia, and group 2 (n = 29, 20.9%) had mild pneumonia. Group 3 (n = 13, 9.4%) and group 4 (n = 14, 10.1%) showed similar considerable pneumonia extents at baseline, but group 3 had decreasing pneumonia extent at 1–2 weeks, while group 4 had increasing pneumonia extent. Intensive care unit admission and mortality were significantly more frequent in groups 3 and 4 than in groups 1 and 2 ( P < .05). Groups 3 and 4 shared similar clinical and laboratory findings, but thrombocytopenia (<150×10 3 /μL) was exclusively observed in group 4 ( P = .016). When compared to groups 1 and 2, group 4 (hazard ratio, 63.3; 95% confidence interval, 7.9–504.9) had a two-fold higher risk for mortality than group 3 (hazard ratio, 31.2; 95% confidence interval, 3.5–280.2), and this elevated risk was maintained after adjusting confounders. Conclusion Monitoring the early radiologic trajectory beyond baseline further prognosticated at-risk COVID-19 patients, who potentially had thrombo-inflammatory responses.
【초록키워드】 COVID-19, coronavirus disease, Coronavirus disease 2019, Mortality, Inflammatory responses, Hospitalization, deep learning, Pneumonia, risk, outcome, Laboratory, survival, Characteristics, Clinical findings, clinical, Chest, Algorithm, Dyspnea, Patient, trajectory, monitoring, thrombocytopenia, group, Admission, Care, COVID-19 patients, intensive care unit admission, Analysis, Cox regression, survival analysis, COVID-19 patient, chest radiographs, symptom onset, higher risk, 95% confidence interval, hazard ratio, confounders, dyspneic, four groups, material, mild pneumonia, men, responses, objective, Result, radiologic, was used, significantly more, elevated, was performed, quantified, baseline, 【제목키워드】 Pneumonia, trajectory, radiologic, patients with COVID-19,