Objective: To investigate factors influencing perioperative blood transfusion in patients with scarred uterus during pregnancy undergoing cesarean section, construct and validate a transfusion risk prediction model, and provide evidence for preoperative assessment and blood management. Methods: Clinical data of 405 patients undergoing cesarean section for scarred uterus during pregnancy at the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to December 2024 were retrospectively collected. The dataset was randomly divided into a training set (n=284) and a validation set (n=121) at a 7∶3 ratio. Within the training set, Firth-penalized logistic regression was employed for multivariate analysis to identify independent factors influencing perioperative blood transfusion and construct a predictive model. Model performance was evaluated in the validation set. Results: Multivariate Firth regression analysis showed that severe placenta previa (OR=75.566, 95%CI: 8.603-9979.174) and placenta accreta (OR=4.591, 95%CI: 1.120-19.416) were independent risk factors for perioperative blood transfusion, while preoperative red blood cell count (OR=0.189, 95%CI: 0.083-0.405) and fibrinogen levels (OR=0.588, 95%CI: 0.395-0.855) were protective factors. The predictive model constructed based on these four variables demonstrated good discriminatory performance, with areas under the receiver operating characteristic curves of 0.803 (95%CI: 0.740-0.867) and 0.753 (95%CI: 0.644-0.862) in the training and validation sets, respectively. Conclusion: For patients with scarred uterus during pregnancy undergoing cesarean section, severe placenta previa and placenta accreta significantly increase the risk of transfusion, while higher preoperative red blood cell count and fibrinogen levels exert a protective effect. The predictive model established in this study facilitates the identification of patients requiring transfusion, thereby enabling preoperative blood preparation and optimized blood management.

Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Pharmacovigilance runs through the whole life cycle of drugs. This paper systematically sorts out the development course of pharmacovigilance in China， from the initial establishment of the adverse drug reaction reporting system to the gradual construction of a complete pharmacovigilance system aligned with international standards. It focuses on analyzing the evolutionary features of the organizational system， legal system and monitoring system during this process. On this basis， this paper further discusses the future development trends of pharmacovigilance in China. In general， remarkable progress has been achieved in both regulatory construction and practical implementation of China’s pharmacovigilance system. In the future， efforts should be continuously made to improve the pharmacovigilance system， such as accelerating the implementation of the “one-body with two-wings” working framework and strengthening the primary responsibility of marketing authorization holders. It is also necessary to cultivate and reserve professional talents and promote information-based construction， including optimizing the spontaneous reporting system and establishing active monitoring systems. These measures can provide more solid support for ensuring public drug safety and facilitating high-quality development of the pharmaceutical industry.

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

Objective To establish the reference interval of urine Alzheimer-associated neuronal thread protein(AD7c-NTP)for healthy adults in Mianyang area using the indirect method.Methods The detection results of urine AD7c-NTP from 5 093 healthy in-dividuals were collected from the information management database of Medical Laboratory Department of Sichuan Science City Hospital from March 2017 to March 2022.Skewness-kurtosis and Kolmogorov-Smirnov tests were used to determine whether the data followed a normal distribution.After removing outliers using the Box Plots method,the enrolled subjects were grouped by gender and age.The Mann-Whitney U or Kruska-Wallis H tests were used to analyze the between-group differences of urine AD7c-NTP in healthy individu-als with different genders and ages.The adjacent age groups without statistically significant difference(P＞0.05)were combined,and the indirect method(non-parametric test method)was used to calculate the reference intervals for different gender and age groups.Results Skewness-kurtosis and Kolmogorov-Smirnov tests showed that the data followed a non-normal distribution.After removing 293 outliers using the Box Plots method,a total of 4 800 subjects,including 3 199 males and 1 601 females,were enrolled.The enrolled subjects were grouped by gender and age,and the non-parametric test method were used to establish the reference intervals of urine AD7c-NTP in healthy populations with different genders.The Mann-Whitney U test confirmed that urine AD7c-NTP levels existed gen-der differences(Z=14.09,P＜0.01),and the reference intervals for males and females were≤1.10 ng/mL and≤1.40 ng/mL,re-spectively.There were also statistical differences in urine AD7c-NTP levels among different age groups of the same gender.After combi-ning adjacent age groups without statistically significant difference(P＞0.05),the reference intervals of urine AD7c-NTP in healthy populations with different genders and ages were established by the non-parametric test method,which were≤1.00 ng/mL for male 20-39 years old group,≤1.10 ng/mL for male 40-79 years old group,≤1.60 ng/mL for male≥80 years old group,≤1.30 ng/mL for female 20-69 years old group,and≤1.60 ng/mL for female≥70 years old group,respectively.The established reference intervals of urine AD7c-NTP were further verified by healthy individuals,and the results met the standards.Conclusion The reference intervals of urine AD7c-NTP in healthy populations with different genders and ages in Mianyang area are established successfully using the indi-rect method,which may help to predict the risk of Alzheimer's disease in clinical practice and provide support for the diagnosis and treatment of the disease.

his cross-sectional study employed convenience sampling to enroll 1 994 community-dwelling older adults (aged ≥65 years) undergoing health examinations at a Guangzhou community hospital between January and December 2024, aiming to investigate associations between blood lipid profiles and cognitive impairment. Cognitive function was assessed using the AD8 scale, with demographic characteristics (age, sex, education, occupation), health status (hypertension, diabetes mellitus), and lifestyle factors (smoking/alcohol use) collected via questionnaires. Fasting blood samples quantified triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Propensity score matching (PSM) balanced baseline characteristics between lipid-level groups. Pre-PSM analyses revealed significant intergroup differences: TG groups differed in sex, BMI, alcohol use, hypertension, and self-rated health ( P<0.05); TC groups in sex, age, occupation, diabetes, and hypertension; LDL-C groups in sex, age, occupation, diabetes, hypertension, and daily living ability; HDL-C groups in sex, age, education, occupation, BMI, smoking, diabetes, and hypertension. Post-PSM adjustment eliminated baseline differences ( P>0.05). Multivariable logistic regression adjusted for demographic, clinical, and lifestyle factors demonstrated that elevated TG levels conferred a 48% reduced risk of cognitive dysfunction [ OR (95% CI): 0.52 (0.29-0.94)], whereas TC, LDL-C, and HDL-C showed no significant associations (all P>0.05). These findings suggest an inverse association between higher triglyceride levels and cognitive dysfunction risk in older adults, highlighting TG′s potential protective role in cognitive health.

[Purpose]To analyze the changes in the incidence trend of thyroid cancer from 1990 to 2021,and to predict the future incidence from 2022 to 2030.[Methods]We collected data related to the incidence of thyroid cancer among Chinese residents from 1990 to 2021 in the Global Bur-den of Disease 2021(GBD 2021)study,analyzed the trend of thyroid cancer incidence using the Joinpoint regression model,and constructed a Bayesian age-period-cohort(BAPC)model to pre-dict the future incidence of thyroid cancer during the years of 2022-2030,based on the inci-dence data during the years of 1990-2021.[Results]From 1990 to 2021,the age-standardized incidence rate(ASIR)of thyroid cancer in China showed a fluctuating upward trend,and the ASIR of thyroid cancer in China in 2021 was 2.47/105,slightly lower than the global average(2.91/105)in the same year.In 2021,there were significant differences in new cases and incidence rate of thyroid cancer between men and women,with the incidence rate of women being higher than that of men.Among them,the number of new cases in women was 27 915,the crude incidence rate was 4.02/105,and the ASIR was 2.87/105;in men,the number of new cases was 20 189,the crude incidence rate was 2.77/105,and the ASIR was 2.11/105.Between 1990 and 2021,the increase in the number of new cases,the crude incidence rate,and the ASIR of men in China was much larger than that of women.The ASIR of thyroid cancer in both male and female showed an in-creasing trend,while the average annual percentage change(AAPC)in female was lower than that in male.There were significant gender differences in the age-specific incidence rates of thyroid cancer.In 2021,the incidence rate of women was higher than that of men in the Chinese population＜75 years old,whereas the incidence rate of men was higher than that of women in the population≥75 years old.From 1990 to 2021,the incidence rates of the Chinese male population aged 45～59 years old and ≥75 years old increased significantly;and the incidence rate of the Chinese fe-male popu-lation aged 50～74 years old increased significantly.Projections showed that the ASIR of overall,male and female standardized incidence rates in 2030 increased to 2.90/105,2.44/105 and 3.26/105 respectively.[Conclusion]The incidence rate of thyroid cancer in China is on the rise,with the incidence rate of women being higher than that of men,but the incidence rate of men has increased more than that of women,and the gap between the incidence rates is narrow-ing,and the peak age of incidence of men is mostly in the senior age group.

Objective To investigate the CT imaging manifestations of tumor-like proliferation of extramedullary hematopoiesis(EMH)in thalassemia(TM).Methods A retrospective analysis was conducted on the clinical data of 41 patients with tumor-like proliferation of EMH in TM.The CT imaging features of the patients were analyzed,including the location,lesion morphology,density,and degree of enhancement of the lesions.Results Lesions of varying sizes were identified on both sides of the thoracic vertebrae in all 41 cases,including 20 cases with lesions in the inner edge of the ribs and 1 case within the spinal epidural space.A total of 23 abdominal scans and 2 lumbar scans,lesions were found in the sacral region in 18 cases,primarily in the presacral area and sacral wings.Lesions adjacent to the thoracic paravertebral and in the sacral region were quasi-circular,while those on the ribs were quasi-circular or flat and mound-shaped,closely adhering to the inner edge of the ribs.Intraspinal epidural lesions were characterized by a longitudinal orientation,positioned adjacent to the posterior part of the thoracic spinal canal.Most lesions showed homogeneous moderate density.Bone erosion was observed in 14 rib lesions and 7 sacral region lesions,resulting in heterogeneous slightly high density shadow of the lesions.Small nodular high density shadow were identified in 4 cases,and small amounts of fatty density shadow were observed in 4 cases.20 cases showed mild-to-moderate enhancement on enhanced scan,and 11 cases showed"vascular traversal sign"in thoracic paravertebral lesions.Conclusion The CT manifestations of tumor-like proliferation of EMH in TM are characteristic.The combination of typical CT manifestations and medical history facilitates an accurate diagnosis.Indicators such as fat replacement,iron deposition nodules,bone erosion,and"vascular traversal sign"are valuable in the diagnosis of tumor-like proliferation of EMH.

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

his cross-sectional study employed convenience sampling to enroll 1 994 community-dwelling older adults (aged ≥65 years) undergoing health examinations at a Guangzhou community hospital between January and December 2024, aiming to investigate associations between blood lipid profiles and cognitive impairment. Cognitive function was assessed using the AD8 scale, with demographic characteristics (age, sex, education, occupation), health status (hypertension, diabetes mellitus), and lifestyle factors (smoking/alcohol use) collected via questionnaires. Fasting blood samples quantified triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Propensity score matching (PSM) balanced baseline characteristics between lipid-level groups. Pre-PSM analyses revealed significant intergroup differences: TG groups differed in sex, BMI, alcohol use, hypertension, and self-rated health ( P<0.05); TC groups in sex, age, occupation, diabetes, and hypertension; LDL-C groups in sex, age, occupation, diabetes, hypertension, and daily living ability; HDL-C groups in sex, age, education, occupation, BMI, smoking, diabetes, and hypertension. Post-PSM adjustment eliminated baseline differences ( P>0.05). Multivariable logistic regression adjusted for demographic, clinical, and lifestyle factors demonstrated that elevated TG levels conferred a 48% reduced risk of cognitive dysfunction [ OR (95% CI): 0.52 (0.29-0.94)], whereas TC, LDL-C, and HDL-C showed no significant associations (all P>0.05). These findings suggest an inverse association between higher triglyceride levels and cognitive dysfunction risk in older adults, highlighting TG′s potential protective role in cognitive health.