Drug-induced immune hemolytic anemia (DIIHA) is a rare cytopenia caused by damage to RBCs by drug-induced antibodies or non-immune protein adsorption (NIPA). The drugs associated with DIIHA and the mechanistic hypotheses that are thought to be involved have been controversial, with complex serological tests often required by specialized Immune Hematology laboratories for diagnosis. It is necessary to know the clinical manifestation and laboratory diagnosis of DIIHA in order to distinguish the immuno-hematological abnormality caused by drugs from other causes. How to improve the diagnostic ability of DIIHA and establish a scientific and reasonable idea of DIIHA serological examination is urgent to help clinical diagnosis and correct treatment.

Objective:To investigate the value of ultrasonography in diagnosis of transposition of great arteries of the fetus at 11-13 + 6 weeks gestation. Methods:A prospective study was conducted on fetuses screened by ultrasound in the first trimester in Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region between January 2015 and March 2022. Fetal heart structure was screened by three-section screening method. Fetuses with suspected transposition of the great arteries at 11-13 + 6 weeks gestation underwent followed-up ultrasound examination, chromosome and gene test results. The ultrasound characteristics and prognosis pregnancy outcomes were summarized. Results:Twenty-one cases of transposition of the great arteries were detected by ultrasonography, including complete transposition of great arteries (20 cases) and congenitaly corrected transposition of the great arteries (1 case). Two cases were miss diagnosed. Twenty-one cases showed parallel signs of two major arteries on grayscale outflow section at 11-13 + 6 weeks gestation. There were 6 cases with aneuploid ultrasonographic soft markers abnormality, 2 cases with extracardiac malformation. Chromosome and microarray analysis were performed in 13 cases. 4 cases with chromosomal abnormality. Four cases of chromosomal abnormalities were associated with ultrasonographic soft markers abnormality, and 1 case with extracardiac malformation.In the 23 cases, 20 cases were induced, 1 miscarried, and 2 delivered to term. Among the fetuses delivered at term, 1 case died before neonatal operation and 1 case survived. Conclusions:Standardized ultrasound scan at 11-13 + 6 weeks has high accuracy in diagnosis of transposition of the great arteries. And the incidence of chromosomal abnormality is high with ultrasonographic soft markers abnormality or extracardiac malformation.

【Objective】 To strengthen the management of transfusion adverse events, so as to reduce the occurrence of medical damage and accidents, and guarantee the safety of blood transfusion. 【Methods】 The adverse events of blood transfusion reported in our hospital from July 2016 to December 2022 were collected, the reasons were tracked, and continuous improvements were made. 【Results】 From 2016 to 2022, a total of 315 transfusion adverse events were reported, including 233(73.97%, 233/315) cases of transfusion reactions and 82(26.03%, 82/315) transfusion adverse events. There were 271 328 transfusion cases in the same period, and the incidence of transfusion reactions was 0.858 7‰(233/271 328). The number of transfusion application was 129 887, and the incidence of transfusion adverse event is 0.631 3‰(82/129 887). Sixty-eigtht(82.93%, 68/82) cases of transfusion adverse events were caused by human factors, while the other 14(17.07%, 14/82) cases were non-human factors. According to the linear regression analysis, we have concluded that the year is a significant indicator for transfusion reaction rates (P<0.05), but not for transfusion adverse event rates (P>0.05). 【Conclusion】 Strengthening the management of reporting adverse events in clinical blood transfusion, monitoring the incidence, analyzing and improving different types of adverse events by management tools can reduce the medical risks of blood transfusion and help to guarantee the safety of clinical blood transfusion.

Objective:To investigate the value of atrioventricular valve regurgitation in predicting atrioventricular septal defect (AVSD) in the first trimester.Methods:Fetuses were examined prospectively by ultrasound at 11-13 + 6 weeks in Maternity & Child Healthcare Hospital of Guangxi Zhuang Autonomous Region between February 2016 and February 2021. Congenital heart disease was screened and atrioventricular valve regurgitation was observed in fetuses of gestational age 11 to 13 + 6 weeks using color Doppler in four-chamber view and three vessels and trachea view. Results:Totally 43 549 fetuses of gestational age 11 to 13 + 6 weeks were screened by echocardiography, of whom 37 cases were screened out with AVSD, including complete atrioventricular septal defect (31 cases), partial atrioventricular septal defect(3 cases) and intermediate atrioventricular septal defect(1 cases), 2 cases were misdiagnosed, and ultrasonic scanning in the second trimester found 2 missed cases of intermediate atrioventricular septal defect. Atrioventricular valve regurgitation was observed in 91.89% of atrioventricular septal defects (34/37) in the first trimester, 59.46% (22/37) nuchal translucency greater than 95th percentile, 29.73% (11/37) absence of nasal bone, 32.43% (12/37) ductus venosus A wave inversion, and 40.54% (15/37) had tricuspid regurgitation. The sensitivity of common atrioventricular valve regurgitation in predicting atrioventricular septal defect is better than other ultrasonic indexes. Conclusions:Atrioventricular regurgitation can be used as a clue to predict atrioventricular septal defect in the first trimester, which is beneficial to detect atrioventricular septal defect in the first trimester.

【Objective】 To investigate the factors influencing the length of hospital stays of the acute fatty liver of pregnancy (AFLP) patients, so as to establish the prediction model. 【Methods】 A total of 49 patients diagnosed as AFLP)in ShenZhen People’s Hospital between January 2008 and January 2023 were retrospectively analyzed. According to the median length of hospital stays, the patients were divided into two groups: Group A(n=21)and Group B(n=28). Preoperative general laboratory data, clinical features and postpartum adverse outcomes in both groups were analyzed. Multivariate binary logistic regression was used to analyze the independent factors affecting the length of hospital stays for AFLP, and a prediction model for hospitalization time was established. 【Results】 Comparison between Group B and Group A were as follows: hospital stays(d)(15.5 vs 8), preoperative icterus(%)[16(57.1%)vs 3(14.3%)], thrombin time(TT)(s)(24.2 vs 21.3), prothrombin time(PT)(s)(16.8 vs 15.3), activated partial thromboplastin time(APTT)(s)(52.3 vs 40.7), total bilirubin(TBIL)(μmol/L)(77.2 vs 45.2), indirect bilirubin(IBIL)(μmol/L)(21.2 vs 10), creatinine(Cre)(μmol/L)[(171.97±53.34) vs (131.81±45.06]), TT extension(%)[24(85.7%)vs 11(52.4%)], APTT extension(%)[27(96.4%)vs 7(33.3%)], IBIL elevation(%)[19(67.9%)vs 4(19%)], Cre concentration rise(%)[21(75%)vs 8(38%)], number of postpartum plasma exchange sessions(%)[23(82.1%)vs 5(23.8%)], postpregnancy co-infection phenomenon(%)[21(75%)vs 4(19%)], with Group B significantly higher than Group A. The preoperative platelet count(×10⁹/L)(128 vs 221)and the concentration of fibrinogen(g/L)[0.9 vs 1.6] in Group B were significantly lower than those in Group A. Univariate logistic regression analysis showed that preoperative icterus, postpregnancy co-infection phenomenon, number of postpartum plasma exchange sessions, preoperative TT extension, preoperative APTT extension, Cre concentration rise were influencing factors for the hospital stays of AFLP patients. According to the minimum result of Akaike information criterion, the multivariate binary logistic regression analysis (step-wise selection) showed that the number of postpartum plasma exchange sessions, icterus, preoperative APTT extension were the independent risk factor influencing the hospital stays of AFLP patients, and the logistic regression prediction model was established by incorporating the above three factors. Regularization techniques were further employed in linear regression to address and assess overfitting issues. Additionally, the confidence interval for the estimated effect sizes in each model have been acquired by bootstrapping techniques. 【Conclusion】 Preoperative icterus, preoperative APTT extension(APTT>43s)and the number of postpartum plasma exchange sessions were the independent risk factor influencing the hospital stays of AFLP patients and the logistic regression prediction model with high predictive effectiveness was established successfully.