Objective: To evaluate the safety and efficacy of therapeutic whole blood exchange combined with lymphoplasmapheresis in the treatment of refractory autoimmune hemolytic anemia (AIHA). Methods: A retrospective analysis was performed on the clinical data of AIHA patients who underwent therapeutic whole blood exchange combined with lymphoplasmapheresis at our hospital from March 2022 to May 2025. Efficacy was assessed by comparing changes in hemoglobin, platelet count, and bilirubin levels before and after treatment. Safety was evaluated by analyzing vital signs before and after the procedure, parameters during the exchange, and adverse reactions. Results: A total of 12 AIHA patients were enrolled, completing 19 exchange procedures. The number of procedures per patient ranged from 1 to 3. The median treatment duration was 67 (65-73) minutes, with a median exchange volume of 2 025 (1 851-2 121) mL, comprising 4.5 (4-6) units of red blood cells and 1 350 (1 200-1 400) mL of plasma. Ten patients achieved partial remission, one achieved complete remission, and one showed no response, yielding an response rate of 91% (11/12). After a single session, hemoglobin increased significantly by 17.58±9.85 g/L (P<0.01), while platelets counts decreased by 45 (17.5, 79)×10 /L (P<0.05), and both systolic and diastolic blood pressure showed a significant elevation (P<0.05). However, no statistically significant differences were observed in total bilirubin, indirect bilirubin, white blood cell count, or heart rate. During the procedures, 4 adverse reactions occurred in 3 patients: one child experienced severe heart rate fluctuation twice consecutively, and two adults developed plasma allergies. All reactions resolved spontaneously without pharmacological intervention. Conclusion: The combination of therapeutic whole blood exchange and lymphoplasmapheresis appears to be a safe and effective treatment for refractory AIHA patients.

Objectives:To investigate the effect of non-optimal temperature exposure during pregnancy on the risk for preterm birth and identify the susceptible exposure window. At the same time, the interaction between non-optimal temperature and pollutants exposure during pregnancy on preterm birth was analyzed, in order to provide strong clues for the influence of non-optimal temperature exposure during pregnancy on the risk for preterm birth.Methods:A total of 1 852 pregnant women were recruited from September 2021 to June 2023 in Fujian Provincial Maternal and Child Health Care Center. Questionnaire survey was conducted, and their health records were analyzed. The permanent address of each pregnant woman was matched with Fifth Generation European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis of the Global Climate and a geo-statistical combination model based on satellite remote sensing data collection, then follow-up for pregnancy outcome was conducted. Distributed lag nonlinear model was used to assess the association between exposure to non-optimal temperature during pregnancy and the risk for preterm birth and a multiplicative interaction model was used to assess the interaction between exposure to pollutants and non-optimal temperatures during pregnancy on the risk for preterm birth.Results:After adjusting for potential confounders such as maternal age, occupation, Gross Domestic Product of the region, pre-pregnancy preconception BMI, newborn sex, the weekly susceptibility windows of extreme low temperature ( P1, P3, P5) were week 1-22 , and the weekly susceptibility windows of extreme high temperature ( P95, P97, P99) were week 27 and week 32-36. Extreme low temperature [ P1 ( OR=1.147, 95% CI: 1.041-1.265), P5 ( OR=1.284, 95% CI: 1.035-1.501)] and extreme high temperature [ P97 ( OR=1.146, 95% CI: 1.039-1.263), P99 ( OR=1.216, 95% CI: 1.099-1.345)] exhibited multiplicative interaction with PM 2.5. Conclusions:Exposure to non-optimal temperature during pregnancy was associated with an increased risk for preterm birth. The susceptible exposure windows of extreme low temperature were mainly in early and mid-pregnancy, and the susceptible exposure windows of extreme high temperature were mainly in late-pregnancy. Exposure to non-optimal temperatures and pollutants during pregnancy was associated with an increased risk for preterm birth.

Objectives:To investigate the effect of non-optimal temperature exposure during pregnancy on the risk for preterm birth and identify the susceptible exposure window. At the same time, the interaction between non-optimal temperature and pollutants exposure during pregnancy on preterm birth was analyzed, in order to provide strong clues for the influence of non-optimal temperature exposure during pregnancy on the risk for preterm birth.Methods:A total of 1 852 pregnant women were recruited from September 2021 to June 2023 in Fujian Provincial Maternal and Child Health Care Center. Questionnaire survey was conducted, and their health records were analyzed. The permanent address of each pregnant woman was matched with Fifth Generation European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis of the Global Climate and a geo-statistical combination model based on satellite remote sensing data collection, then follow-up for pregnancy outcome was conducted. Distributed lag nonlinear model was used to assess the association between exposure to non-optimal temperature during pregnancy and the risk for preterm birth and a multiplicative interaction model was used to assess the interaction between exposure to pollutants and non-optimal temperatures during pregnancy on the risk for preterm birth.Results:After adjusting for potential confounders such as maternal age, occupation, Gross Domestic Product of the region, pre-pregnancy preconception BMI, newborn sex, the weekly susceptibility windows of extreme low temperature ( P1, P3, P5) were week 1-22 , and the weekly susceptibility windows of extreme high temperature ( P95, P97, P99) were week 27 and week 32-36. Extreme low temperature [ P1 ( OR=1.147, 95% CI: 1.041-1.265), P5 ( OR=1.284, 95% CI: 1.035-1.501)] and extreme high temperature [ P97 ( OR=1.146, 95% CI: 1.039-1.263), P99 ( OR=1.216, 95% CI: 1.099-1.345)] exhibited multiplicative interaction with PM 2.5. Conclusions:Exposure to non-optimal temperature during pregnancy was associated with an increased risk for preterm birth. The susceptible exposure windows of extreme low temperature were mainly in early and mid-pregnancy, and the susceptible exposure windows of extreme high temperature were mainly in late-pregnancy. Exposure to non-optimal temperatures and pollutants during pregnancy was associated with an increased risk for preterm birth.

Objective:To investigate the changes in total radioactivity in patient body with differentiated thyroid carcinoma (DTC) after 131I treatment and the factors influencing its metabolism. Methods:The clinical data from 218 patients after DTC treatment in the Department of Nuclear Medicine, the Second Affiliated Hospital of Air Force Medical University from September 2021 to April 2022 were retrospectively analyzed. Based on administrated 131I dose, 171 patients were divided into low-dose group (≤ 3.7 GBq) and 47 into high-dose group (>3.7 GBq) . A whole body dynamic radiation monitoring system was used to measure the in vivo residual activity of 131I 24, 48 and 72 h after 131I administration and to explore their influencing factors. Results:24, 48 and 72 h after adimination of 131I, the residual activity of 131I in the low-dose group patients was significantly lower than in the high-dose group patients ( t= -7.46, -3.31, -2.01, P<0.05) . The discharge compliance rate at 24 and 48 h in the low-dose group was significantly higher than that in the high-dose group (21.0% vs. 4.3%, 98.2% vs. 89.4%, χ2 = 7.23, 5.91, P<0.05) , and all patients could meet the discharge criteria at 72 h. Univariate analysis showed that the residual 131I activity at 24 and 48 h was dependent on age, body mass index (BMI) , basal metabolism rate (BMR) and thyroid stimulating hormone (TSH) . As have been shown by multiple linear regression analysis, in the low-dose group, the older age, the higher BMR and the higher TSH level at 24 h tended to the higher 131I residual activity in the body. At 48 h, the higher BMI and the higher TSH level lead to the higher 131I residual activity in patient body. Meanwhile, in the high-dose group, the higher age and BMR at 24 h, tended to the higher in vivo131I residual activity. The influencing factors were analyzed in terms that 131I residual activity reaching 400 MBq in patient body at 24 and 36 h. The result showed that at 24 h the lower TSH level leaded to the lower 131I residual activity in patient body. At 36 h, the younger age, the lower TSH level, and the smaller 131I treatment dose tended to the lower in vivo131I residual activity. Conclusions:Age, BMI, BMR and TSH levels are the influencing factors for the change in total activity in patient body after 131I treatment of DTC. Radiation dose assessment based on the above indicators can provide a reference for adjusting the length of hospitalization time.