ABSTRACT
Aim: The nationwide impact of the coronavirus disease (COVID-19) pandemic on major trauma in Japan is unknown. The nationwide registry-based data of the Japanese Trauma Data Bank were analyzed to elucidate the impact of COVID-19 on the epidemiology, treatment, and outcomes of major trauma patients. Methods: Among patients transported directly from the injury site by ambulance with an Injury Severity Score of ≥16, we compared patients managed from April to December in 2019 to those managed from April to December in 2020. Results: In total, 9792 patients were included in this study (2019, n = 5194; 2020, n = 4598). There were no significant differences in age or sex, but there were significant differences between 2019 and 2020 in the rates of "self-injury (suicide)", "motor vehicle accident", "fall from height", "fall down", and "fall to the ground", which are factors associated with patient age. Injury severity in 2019 and 2020 did not differ to a statistically significant extent, but the rate of major spinal injury increased. The time of prehospital care significantly increased in 2020 compared to 2019. There was no noticeable change in hospital treatment or in-hospital mortality between 2019 and 2020. Conclusion: This study suggests that the COVID-19 pandemic might have altered the injuries of major trauma; however, medical services for major trauma were well supplied in Japan in 2020.
ABSTRACT
The spread of abnormal opacity on chest computed tomography (CT) has been reported as a predictor of coronavirus disease 2019 (COVID-19) severity; however, the relationship between CT findings and prognosis in patients with severe COVID-19 remains unclear. The objective of this study was to evaluate the extent of abnormal opacity on chest CT and its association with prognosis in patients with COVID-19 in a critical care medical center, using a simple semi-quantitative method. This single-center case-control study included patients diagnosed with severe COVID-19 pneumonia who were admitted to a critical care center. The diagnosis of COVID-19 was based on positive results of a reverse transcription polymerase chain reaction test. All patients underwent non-contrast whole-body CT upon admission. Six representative axial chest CT images were selected for each patient to evaluate the extent of lung lesions. The percentage of the area involved in the representative CT images was visually assessed by 2 radiologists and scored on 4-point scale to obtain the bedside CT score, which was compared between patients who survived and those who died using the Mann-Whitney U test. A total of 63 patients were included in this study: 51 survived and 12 died after intensive treatment. The inter-rater reliability of bedside scores between the 2 radiologists was acceptable. The median bedside CT score of the survival group was 12.5 and that of the mortality group was 16.5; the difference between the 2 groups was statistically significant. The degree of opacity can be easily scored using representative CT images in patients with severe COVID-19 pneumonia, without sophisticated software. A greater extent of abnormal opacity is associated with poorer prognosis. Predicting the prognosis of patients with severe COVID-19 could facilitate prompt and appropriate treatment.
Subject(s)
COVID-19 , Pneumonia , COVID-19/diagnostic imaging , Case-Control Studies , Critical Care , Humans , Reproducibility of Results , Tomography, X-Ray Computed/methodsABSTRACT
The spread of abnormal opacity on chest computed tomography (CT) has been reported as a predictor of coronavirus disease 2019 (COVID-19) severity;however, the relationship between CT findings and prognosis in patients with severe COVID-19 remains unclear. The objective of this study was to evaluate the extent of abnormal opacity on chest CT and its association with prognosis in patients with COVID-19 in a critical care medical center, using a simple semi-quantitative method. This single-center case-control study included patients diagnosed with severe COVID-19 pneumonia who were admitted to a critical care center. The diagnosis of COVID-19 was based on positive results of a reverse transcription polymerase chain reaction test. All patients underwent non-contrast whole-body CT upon admission. Six representative axial chest CT images were selected for each patient to evaluate the extent of lung lesions. The percentage of the area involved in the representative CT images was visually assessed by 2 radiologists and scored on 4-point scale to obtain the bedside CT score, which was compared between patients who survived and those who died using the Mann–Whitney U test. A total of 63 patients were included in this study: 51 survived and 12 died after intensive treatment. The inter-rater reliability of bedside scores between the 2 radiologists was acceptable. The median bedside CT score of the survival group was 12.5 and that of the mortality group was 16.5;the difference between the 2 groups was statistically significant. The degree of opacity can be easily scored using representative CT images in patients with severe COVID-19 pneumonia, without sophisticated software. A greater extent of abnormal opacity is associated with poorer prognosis. Predicting the prognosis of patients with severe COVID-19 could facilitate prompt and appropriate treatment.