Purpose: The hypothesis of the study was that a multidisciplinary approach involving experienced specialists in diffuse parenchymal lung disease might improve the diagnosis of patients with COVID-19 pneumonia. Methods: Two pulmonologists, two radiologists, and two pathologists reviewed 27 patients affected by severe COVID-19 pneumonia as the main diagnosis made by non-pulmonologists. To evaluate whether the contribution of specialists, individually and/or in combination, might modify the original diagnosis, a three-step virtual process was planned. The whole lung examination was considered the gold standard for the final diagnosis. The probability of a correct diagnosis was calculated using a model based on generalized estimating equations. The effectiveness of a multidisciplinary diagnosis was obtained by comparing diagnoses made by experienced pulmonologists with those made by non-pulmonologists. Results: In 19% of cases, the diagnosis of COVID-19-related death was mainly incorrect. The probability of a correct diagnosis increased strikingly from an undedicated clinician to an expert specialist. Every single specialist made significantly more correct diagnoses than any non-pulmonologist. The highest level of accuracy was achieved by the combination of 3 expert specialists ( p = 0.0003). Conclusion: The dynamic interaction between expert specialists may significantly improve the diagnostic confidence and management of patients with COVID-19 pneumonia.
【저자키워드】 COVID-19, SARS-CoV-2, COVID-19 pneumonia, multidisciplinary approach, diagnostic yield, 【초록키워드】 Severe COVID-19 pneumonia, Pneumonia, Diagnosis, lung, Lung disease, Probability, Accuracy, management, Patient, Effectiveness, diagnose, Combination, Interaction, Hypothesis, Radiologists, clinician, pathologist, gold standard, Final, COVID-19-related death, approach, IMPROVE, highest, affected, evaluate, significantly more, significantly, calculated, modify, was obtained, diagnostic confidence, estimating equations, parenchymal, patients with COVID-19, 【제목키워드】 yield,