RESUMO
Objectives: Initial reports indicate a high incidence of abnormal aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels in patients with COVID-19 and possible association with acute kidney injury (AKI). We aimed to investigate clinical features of elevated transaminases on admission, its association with AKI, and outcomes in patients with COVID-19. Methods: A retrospective analysis of the registered data of hospitalized patients with laboratory-confirmed COVID-19 and assessment of the AST and ALT was performed. Multinomial logistic regression was used to determine factors associated with community-acquired AKI (CA-AKI) and hospital-acquired AKI (HA-AKI). Results: The subjects comprised 828 patients (mean age = 65.0±16.0 years; 51.4% male). Hypertension was present in 70.3% of patients, diabetes mellitus in 26.0%, and chronic kidney disease in 8.5%. In-hospital mortality was 21.0%. At admission, only 41.5% of patients had hypertransaminasemia. Patients with elevated transaminases at admission were younger, had higher levels of inflammatory markers and D-dimer, and poorer outcomes. The AKI incidence in the study population was 27.1%. Patients with hypertransaminasemia were more likely to develop AKI (33.5% vs. 23.3%, p = 0.003). Patients with predominantly elevated AST (compared to elevated ALT) were more likely to have adverse outcomes. Multinomial logistic regression found that hypertension, chronic kidney disease, elevated AST, and hematuria were associated with CA-AKI. Meanwhile, age > 65 years, hypertension, malignancy, elevated AST, and hematuria were predictors of HA-AKI. Conclusions: Elevated transaminases on admission were associated with AKI and poor outcomes. Patients with elevated AST were more likely to have adverse outcomes. Elevated AST on admission was associated with CA-AKI and was a predictor of HA-AKI.
RESUMO
BACKGROUND: Lung ultrasound (LUS) is a bedside imaging tool that has proven useful in identifying and assessing the severity of pulmonary pathology. The aim of this study was to determine LUS patterns, their clinical significance, and how they compare to CT findings in hospitalized patients with coronavirus infection. METHODS: This observational study included 62 patients (33 men, age 59.3±15.9 years), hospitalized with pneumonia due to COVID-19, who underwent chest CT and bedside LUS on the day of admission. The CT images were analyzed by chest radiographers who calculated a CT visual score based on the expansion and distribution of ground-glass opacities and consolidations. The LUS score was calculated according to the presence, distribution, and severity of anomalies. RESULTS: All patients had CT findings suggestive of bilateral COVID-19 pneumonia, with an average visual scoring of 8.1±2.9%. LUS identified 4 different abnormalities, with bilateral distribution (mean LUS score: 26.4±6.7), focal areas of non-confluent B lines, diffuse confluent B lines, small sub-pleural micro consolidations with pleural line irregularities, and large parenchymal consolidations with air bronchograms. LUS score was significantly correlated with CT visual scoring (rho = 0.70; p<0.001). Correlation analysis of the CT and LUS severity scores showed good interclass correlation (ICC) (ICC =0.71; 95% confidence interval (CI): 0.52-0.83; p<0.001). Logistic regression was used to determine the cut-off value of ≥27 (area under the curve: 0.97; 95% CI: 90-99; sensitivity 88.5% and specificity 97%) of the LUS severity score that represented severe and critical pulmonary involvement on chest CT (CT: 3-4). CONCLUSION: When combined with clinical data, LUS can provide a potent diagnostic aid in patients with suspected COVID-19 pneumonia, reflecting CT findings.