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BACKGROUND: Biliary atresia (BA) is a rare fatal liver disease in children, and the aim of this study was to develop a method to diagnose BA early. METHODS: We determined serum levels of matrix metalloproteinase-7 (MMP-7), the results of 13 liver tests, and the levels of 20 bile acids, and integrated computational models were constructed to diagnose BA. RESULTS: Our findings demonstrated that MMP-7 expression levels, as well as the results of four liver tests and levels of ten bile acids, were significantly different between 86 BA and 59 non-BA patients (P < 0.05). The computational prediction model revealed that MMP-7 levels alone had a higher predictive accuracy [area under the receiver operating characteristic curve (AUC) = 0.966, 95% confidence interval (CI): 0.942, 0.989] than liver test results and bile acid levels. The AUC was 0.890 (95% CI 0.837, 0.943) for liver test results and 0.825 (95% CI 0.758, 0.892) for bile acid levels. Furthermore, bile levels had a higher contribution to enhancing the predictive accuracy of MMP-7 levels (AUC = 0.976, 95% CI 0.953, 1.000) than liver test results. The AUC was 0.983 (95% CI 0.962, 1.000) for MMP-7 levels combined with liver test results and bile acid levels. In addition, we found that MMP-7 levels were highly correlated with gamma-glutamyl transferase levels and the liver fibrosis score. CONCLUSION: The innovative integrated models based on a large number of indicators provide a noninvasive and cost-effective approach for accurately diagnosing BA in children. Video Abstract (MP4 142103 KB).
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PURPOSE: Blood transfusion is a common and life-saving procedure in congenital heart surgery (CHS), and it is critical for patients to identify risk factors prior to surgery. Our objective is to conduct an analysis of the preoperative factors that influence blood use during CHS and to offer guidance on preoperative blood preparation. METHODS: A total of 1550 cases were retrospectively analyzed in our institution between May 2019 and June 2020. We determined whether to employ red blood cells (RBCs), platelets, and plasma as dependent variables; we treated the data from characteristics and laboratory tests as binary data, except for the Risk Adjustment for Congenital Heart Surgery (RACHS) methods as multinomial data, and finally taken into binary logistic regression analysis. RESULTS: The total amounts of transfused RBCs, platelets, and plasma were 850.5 U (N = 713, 46%), 159 U (N = 21, 1.4%), and 1374.2 U (N = 953, 61.5%), respectively. Multivariate analysis found age (OR 0.142, 95% CI 0.099-0.203, P < 0.001), weight (0.170, 0.111-0.262, P < 0.001) RACHS method (RACHS2 vs. RACHS1, 3.444, 2.521-4.704, P < 0.001; RACHS3 vs. RACHS1, 9.333, 4.731-18.412, P < 0.001; RACHS4 vs. RACHS1, 31.327, 2.916-336.546, P = 0.004), and hemoglobin (0.524, 0.315-0.871, P = 0.013) to be independent risk predictors of RBC transfused volume; age (9.911, 1.008-97.417, P = 0.049), weight (0.029, 0.003-0.300, P = 0.029), RACHS method (RACHS3 vs. RACHS1, 13.001, 2.482-68.112, P = 0.002; RACHS4 vs. RACHS1, 59.748, 6.351-562.115, P < 0.001) to be platelets; and age (0.488, 0.352-0.676, P < 0.001), weight (0.252, 0.164-0.386, P < 0.001), RACHS method (RACHS2 vs. RACHS1, 2.931, 2.283-3.764, P < 0.001; RACHS3 vs. RACHS1, 10.754, 4.751-24.342, P < 0.001), APTT (1.628, 1.058-2.503, P = 0.027), and PT (2.174, 1.065-4.435, P = 0.033) to be plasma. CONCLUSION: Although patients' age, weight, routine blood test, coagulation function, and protein levels should all be considered for preparing blood before CHS, the RACHS method is the most important factor influencing intraoperative blood transfused volume and should be considered first in clinical blood preparation.
