Résumé
【Objective】 To analyze the causes of immune hemolytic transfusion reaction in one case, identify related antibodies, and explore transfusion compatibility testing. 【Methods】 ABO/Rh blood group identification, unexpected antibody identification of serum and diffusion fluid, direct antiglobulin test(DAT) and cross matching were conducted by saline method and/or microcolumn gel method. 【Results】 The patient′s blood group was O, and Rh phenotype was identified as DCCee. The DAT was negative, with strong anti-E antibody and weak anti-c antibody detected. Acute hemolytic transfusion reaction occurred in the patient after the last transfusion. 【Conclusion】 Currently, immune hemolytic transfusion reaction in China are mainly caused by Rh blood group system antibodies. The absence of unexpected antibody screening before blood transfusion and the weak anti-c antibody which resulted in missed detection of non compatibility in cross matching led to acute hemolytic transfusion reaction. It is recommended to conduct unexpected antibody screening before blood transfusion, and to collect blood sample for testing as soon as possible to improve the accuracy of DAT when acute hemolytic transfusion reaction is suspected.
Résumé
Objective:To assess the validity and reliability of the Chinese version of the eleven-item Kutcher Adolescent Depression Scale (KADS-11)in Chinese adolescents,calculate its optimal cut-off value and the sensi-tivity and specificity,and explore the possibility of providing a useful tool to assess the severity of adolescent de-pressive symptoms.Methods:Totally 3180 students aged 11 -17 years were selected from schools in 6 provinces and Shanghai.All of them were asked to complete the KADS-11 and Children Depression Inventory (CDI). Students whose CDI scores were above 19 (including 19)were diagnosed with the DSM-IV criteria of depressive disorder,73 students from Shanghai sample were assessed with KADS-11 and CDI to analyze the test-retest reliabil-ity 1 month later.Results:Exploratory factor analysis showed that KADS-11 had 2 factors,and confirmatory factor analysis tested proved the 2-factor model fit better than the one-factor model.The KADS-11 total scores were posi-tively correlated with CDI total scores (r =0.74,P <0.01 ),and the KADS-11 scores were higher in depressive group than those in non-depressive group.The mean area under the curve (AUC)of KADS-11was 0.94,the mean area under the curve of each item ranged from 0.7 to 0.9.The optimal cut-off point of KADS-11 was total score≥9,sensitivity and specificity were 89% and 90% respectively.The Cronbach's alpha coefficient of the KADS-11 was 0.84,the spilt-half reliability coefficient was 0.71 (P <0.01),and the test-retest coefficient was 0.77 (P <0.01).Conclusion:The KADS-11 is appropriate for Chinese adolescents because of its good validity,reliability and diagnosis accuracy,it could be used to assess depressive symptoms for adolescents.
Résumé
Objective To determine serum leptin levels and investigate its relatio nship with liver function, insulin resistance and nutritional parameters in pati ents with post-hepatitis liver cirrhosis. Methods Thirty-two ma le patients with post-hepatitis cirrhosis and fourteen male control subjects were enrolled in thi s study. Fasting blood samples were obtained, and serum leptin levels, fasting g lucose and insulin levels were determined in all subjects, and nutritional param e ters were determined in cirrhosis patients. The cirrhosis patients were divided into three groups according to Child-Pugh classification. Results Serum leptin l evels in male hepatic cirrhosis were significantly higher than those of healthy control. There was no significant difference in serum leptin levels among the th ree groups of patients with cirrhosis according to Child-Pugh classification. Se rum insulin levels in male cirrhosis were significantly higher than that of heal thy control. The insulin sensitivity index in cirrhotic patients was decreased c ompared with normal control group. Serum leptin levels in liver cirrhosis were s ignificantly correlated with BMI, TSF and fasting insulin levels, respectively ( r=0.343, 0.340 and 0.352, P