Background/Aims: The pathophysiology of refractory gastroesophageal reflux disease (RGERD), which differs from proton pump inhibitor dependent gastroesophageal reflux disease (DGERD), remains incompletely elucidated. This study aims to compare esophageal motility patterns, transdiaphragmatic pressure gradients (TPG), and reflux profiles between RGERD and DGERD patients, and to delineate dynamic pressure gradient-esophagogastric junction (EGJ) interactions in these patients. Methods: In this retrospective study, 274 patients who underwent 24-hour impedance-pH monitoring and high-resolution manometry, along with an assessment of proton pump inhibitor responsiveness, were classified as RGERD (32.5%), DGERD (54.4%), or non-GERD (13.1%). Clinical characteristics, TPG, esophageal motility, and reflux metrics were compared between RGERD and DGERD patients. Subgroup analysis excluding hiatal hernia (HH) was conducted to investigate the pathophysiology of RGERD. Results: The RGERD group exhibited a significantly higher proportion of chest pain compared to the DGERD group. Regarding reflux profiles, RGERD patients without HH (RGERDHH- group) experienced increased weakly acidic reflux (P < 0.001) and prolonged bolus exposure (P = 0.006) compared to their counterparts (DGERDHH- group). Mechanistically, the RGERDHH- group showed reduced lower esophageal sphincter basal pressure (P = 0.010) and EGJ contractile integral (P = 0.005). Notably, following a wet-swallow, the RGERDHH- group experienced the significant elevation in gastric pressure and TPG. Correlation analyses revealed weakly acidic reflux and bolus exposure were positively correlated with gastric pressure variation, and inversely correlated with lower esophageal sphincter basal pressure. Conclusions Transient gastric pressure elevation and compromised EGJ barrier function drive weakly acidic reflux and esophageal bolus exposure. This pressure gradient-barrier mismatch underpins the refractoriness of RGERD.

ObjectiveTo investigate the patterns of chronic disease comorbidity among permanent elderly residents in Xuhui District of Shanghai, and to analyze the impact of different comorbidity patterns on the elderly’s ability to perform activities of daily living. MethodsBased on data from the 2015 and 2021 Surveys on Health Status and Health Service Utilization among Permanent Residents in Xuhui District of Shanghai, the study included permanent residents who fully participated in both surveys, were aged 60 years or older at the 2015 survey, self-reported having a chronic disease, and reported no significant changes in their chronic disease status between the two surveys. A prospective cohort study design was adopted, using the 2015 data as the baseline and the 2021 survey data as follow-up data. Physical examinations and questionnaire surveys were conducted by the Shanghai Xuhui District Center for Disease Control and Prevention in the subdistricts and towns within the jurisdiction from April to July in both 2015 and 2021. Latent class analysis (LCA) was used to classify comorbidity patterns across 11 types of chronic diseases. The smaller the values of the Akaike information criterion (AIC), the Bayesian information criterion (BIC), and the sample-corrected Bayesian information criterion (aBIC), the better the model fits. The Barthel index (BI) and the Lawton and Brody Instrumental Activities of Daily Living Scale (LB-IADL) were used to assess the participants’ activities of daily living (ADL) and instrumental activities of daily living (IADL). Multiple linear regression and multivariate logistic regression models were used to analyze the association between different comorbidity patterns and ADL and IADL. ResultsA total of 1 608 study participants were enrolled. Among them, 671 (41.73%) self-reported having no chronic diseases. The prevalence of 11 types of chronic diseases was as follows: hypertension in 743 participants (46.21%), heart disease in 148 participants (9.20%), cerebrovascular disease in 37 participants (2.30%), diabetes or abnormal blood glucose in 310 participants (19.28%), other endocrine system diseases (non-diabetic) in 39 participants (2.43%), malignant tumors in 37 participants (2.30%), chronic lung disease in 16 participants (1.00%), gout in 8 participants (0.50%), musculoskeletal disorders in 34 participants (2.11%), gastric or digestive system diseases in 27 participants (1.68%), and dyslipidemia in 15 participants (0.93%). LCA was used to classify comorbidity patterns of chronic diseases among older adults into 1 to 9 latent category combinations. Model 5 (i.e., 5 latent categories) had the lowest BIC (7 112.69) and aBIC (6 909.38), with a relatively low AIC (6 768.20), indicating the best model fit; thus, five latent categories represented the optimal combination in this study. The five latent categories (and their respective proportions of study participants) were the healthy control group (41.73%), the hypertension group (31.28%), the diabetes-hypertension group (19.28%), the severe illness group (5.29%), and the other metabolic diseases group (2.43%). According to multiple linear regression analyses, compared with the healthy control group, the diabetes-hypertension group had significantly lower BI-20 scores (b=-0.952, 95%CI: -1.317‒ -0.587, P<0.001) and lower IADL scores (b=-0.744, 95%CI: -0.999‒ -0.489, P<0.001); the severe illness group (b=-0.644, 95%CI: -1.072‒ -0.217, P=0.003) and the hypertension group (b=-0.344, 95%CI: -0.562‒ -0.125, P=0.002) had lower IADL scores. According to multivariate logistic regression analyses, compared with the healthy control group, older adults in the diabetes-hypertension group had a higher risk of disability (OR=2.835, 95%CI: 1.392‒5.774), impaired ADL function (OR=2.470, 95%CI: 1.637‒3.726), and impaired IADL function (OR=1.739, 95%CI: 1.264‒2.392); older adults in the severe illness group had a higher risk of impaired ADL function (OR=2.206, 95%CI: 1.171‒4.155). ConclusionAmong the elderly participating in the Survey on Health Status and Health Service Utilization of Permanent Residents in Xuhui District of Shanghai, diabetes-hypertension is one of the key chronic disease comorbidity combinations and has adverse effects on both ADL and IADL. Community health management should prioritize the elderly with diabetes-hypertension comorbidity, and strengthen early screening and comprehensive interventions to slow the decline in ADL and IADL.

Objective:To explore the application value of problem-based learning (PBL) combined with mini-clinical evaluation exercise (Mini-CEX) in the development of post competency for interns in the Department of Neurology.Methods:A total of 56 interns rotating at the Department of Neurology of The First Affiliated Hospital of Chongqing Medical University from June 2023 to January 2024 were enrolled as the study subjects. They were randomly divided into a control group and an experiment group using the random number table method, with 28 interns in each group. The control group received traditional methods including small lectures and teaching rounds, while the experimental group received the PBL teaching method combined with Mini-CEX. The teaching effectiveness was evaluated through theoretical assessments, practical skill evaluations, teacher and student satisfaction surveys, and Mini-CEX scale assessments conducted at the beginning, middle, and end of the rotation for the experimental group. The data were analyzed using SPSS 23.0 software. For continuous data, the independent-samples t test or Mann-Whitney U test was used for comparison between groups. The chi-square test was used for categorical data and the Kruskal-Wallis H test for repeated-measurement data. Results:The theoretical scores [(45.36±2.67) vs. (42.00±4.29), P<0.01] and practical skill scores [(45.11±2.53) vs. (42.39±4.53), P<0.01] were significantly higher in the experimental group compared to the control group. The Mini-CEX score of the experimental group at the end of the rotation was notably higher than that at the beginning of rotation ( P<0.05), and their abilities improved continuously. The satisfaction rates of teachers and students in the experimental group were 71.43% (20/28) and 67.86% (19/28), respectively, which were significantly higher than those in the control group [39.29% (11/28) and 35.71% (10/28), P<0.05]. Conclusions:The teaching model integrating PBL and Mini-CEX can effectively enhance the post competency of interns in the Department of Neurology, thus offering a new perspective for clinical undergraduate teaching.

In 2025,the International Association of Pancreatology(IAP),in collaboration with the American Pancreatic Association,European Pancreatic Club,Indian Pancreas Club,and Japan Pancreas Society,released the International Association of Pancreatology revised guidelines on acute pancreatitis 2025.This edition represents a comprehensive revision of the 2013 guidelines,based on high-quality evidence accumulated over the past decade,particularly randomized controlled trials.The guidelines encompass 18 key areas-including pain management,fluid therapy,nutritional support,management of infected necrosis,complication control,discharge and follow-up,and recurrence prevention-offering a total of 96 recommendations that emphasize individualized treatment.These updates provide important guidance for standardizing clinical practice and improving outcomes in acute pancreatitis,while also indicating future research directions such as the development of targeted therapies.However,some recommendations remain limited by lower evidence quality,uncertain applicability in specific clinical settings,and insufficient consideration of economic burden and cost-effectiveness.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To explore the impact of female body mass index (BMI) on pregnancy outcomes in artificial insemination with donor sperm (AID).Methods:A retrospective cohort study was conducted on 4 484 couples with 9 852 AID treatment cycles treated at Reproductive Center of Guangdong Institute of Reproductive Science from January 2011 to September 2024. Participants were divided into four groups based on BMI: low BMI group (BMI<18.5 kg/m 2), normal BMI group (18.5 kg/m 2≤BMI<24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), and obese group (BMI≥28.0 kg/m 2). General characteristics and pregnancy outcomes were compared across groups. Kaplan-Meier survival analysis was used to calculate cumulative pregnancy rates from one to six cycles. Generalized estimating equations (GEE), univariate and multivariate logistic and Cox regression analysis were performed, adjusting for age, basal follicle-stimulating hormone, basal luteinizing hormone, endometrial thickness, clinical diagnosis, and treatment protocol, to explore correlations between female BMI and clinical pregnancy rate, spontaneous abortion rate, and cumulative pregnancy rate. Results:1) There were no statistically significant differences in clinical pregnancy rate and spontaneous abortion rate among the low BMI group, the normal BMI group, the overweight group, and the obesity group (all P>0.05). 2) Cumulative pregnancy rates for AID cycles 1-6 were 17.60%, 31.60%, 43.08%, 54.37%, 61.83% and 73.68%, respectively. 3) Multivariate GEE analysis revealed that female age ( OR=0.962, 95% CI: 0.950-0.974, P<0.001), endometrial thickness ( OR=1.040, 95% CI:1.011-1.069, P=0.006), and natural cycles ( OR=1.171, 95% CI: 1.060-1.294, P=0.002) influenced clinical pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in clinical pregnancy rates of low BMI group, overweight group, and obese group (all P>0.05). Multivariate logistic analysis showed that female age ( OR=1.051, 95% CI: 1.012-1.091, P=0.010), endometrial thickness ( OR=0.920 , 95% CI: 0.847-1.000, P=0.049) and polycystic ovary syndrome ( OR=1.927, 95% CI: 1.044-3.556, P=0.036) influenced spontaneous abortion rates. Compared with the normal BMI group, there were no statistically significant differences in spontaneous abortion rates of low BMI group, overweight group and obese group (all P>0.05). 4) Cox regression analysis indicated that female age ( HR=0.939, 95% CI: 0.928-0.950, P<0.001), endometrial thickness ( HR=1.039, 95% CI: 1.013-1.066, P=0.003) and natural cycles ( HR=1.957, 95% CI: 1.785-2.146, P<0.001) influenced cumulative pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in cumulative pregnancy rates of low BMI group, overweight group and obese group (all P>0.05). Conclusion:Female BMI does not significantly affect clinical pregnancy rates, spontaneous abortion rates and cumulative pregnancy rates in AID.

Microsurgery is a surgical technique that applies fine instruments to perform precise operations on tiny tissues and organs under optical magnification devices. Digital and intelligent technologies, such as digital imaging, virtual reality (VR), augmented reality (AR), mixed reality (MR), 3D design and reconstruction, 3D printing, digital navigation, mixed perception of multi-source heterogeneous information, automatic control, digital twins, Internet of Things, cloud computing, machine learning, deep learning, large-scale AI models, generative artificial intelligence and so on, have been enabling the innovative development in microsurgery. It will make significant changes in disease diagnosis and monitoring, treatment decision-making and surgical planning, precise and individualised surgery, doctor-patient interaction and healthcare, team collaboration and professional education, and will drive the innovative development in microsurgery.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To explore the impact of female body mass index (BMI) on pregnancy outcomes in artificial insemination with donor sperm (AID).Methods:A retrospective cohort study was conducted on 4 484 couples with 9 852 AID treatment cycles treated at Reproductive Center of Guangdong Institute of Reproductive Science from January 2011 to September 2024. Participants were divided into four groups based on BMI: low BMI group (BMI<18.5 kg/m 2), normal BMI group (18.5 kg/m 2≤BMI<24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), and obese group (BMI≥28.0 kg/m 2). General characteristics and pregnancy outcomes were compared across groups. Kaplan-Meier survival analysis was used to calculate cumulative pregnancy rates from one to six cycles. Generalized estimating equations (GEE), univariate and multivariate logistic and Cox regression analysis were performed, adjusting for age, basal follicle-stimulating hormone, basal luteinizing hormone, endometrial thickness, clinical diagnosis, and treatment protocol, to explore correlations between female BMI and clinical pregnancy rate, spontaneous abortion rate, and cumulative pregnancy rate. Results:1) There were no statistically significant differences in clinical pregnancy rate and spontaneous abortion rate among the low BMI group, the normal BMI group, the overweight group, and the obesity group (all P>0.05). 2) Cumulative pregnancy rates for AID cycles 1-6 were 17.60%, 31.60%, 43.08%, 54.37%, 61.83% and 73.68%, respectively. 3) Multivariate GEE analysis revealed that female age ( OR=0.962, 95% CI: 0.950-0.974, P<0.001), endometrial thickness ( OR=1.040, 95% CI:1.011-1.069, P=0.006), and natural cycles ( OR=1.171, 95% CI: 1.060-1.294, P=0.002) influenced clinical pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in clinical pregnancy rates of low BMI group, overweight group, and obese group (all P>0.05). Multivariate logistic analysis showed that female age ( OR=1.051, 95% CI: 1.012-1.091, P=0.010), endometrial thickness ( OR=0.920 , 95% CI: 0.847-1.000, P=0.049) and polycystic ovary syndrome ( OR=1.927, 95% CI: 1.044-3.556, P=0.036) influenced spontaneous abortion rates. Compared with the normal BMI group, there were no statistically significant differences in spontaneous abortion rates of low BMI group, overweight group and obese group (all P>0.05). 4) Cox regression analysis indicated that female age ( HR=0.939, 95% CI: 0.928-0.950, P<0.001), endometrial thickness ( HR=1.039, 95% CI: 1.013-1.066, P=0.003) and natural cycles ( HR=1.957, 95% CI: 1.785-2.146, P<0.001) influenced cumulative pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in cumulative pregnancy rates of low BMI group, overweight group and obese group (all P>0.05). Conclusion:Female BMI does not significantly affect clinical pregnancy rates, spontaneous abortion rates and cumulative pregnancy rates in AID.

Objective To investigate the relationship between platelet distribution width(PDW)and coronary artery calcification(CAC)in overweight and obese populations.Methods Clinical and chest CT data of 10 838 subjects with overweight or obesity(body mass index[BMI]≥24 kg/m2)were retrospectively analyzed.The subjects were divided into CAC group(n=4 237)and non-CAC group(n=6 601)based on CAC scores obtained from chest CT.The relationship between PDW and CAC in overweight and obese populations was analyzed after controlling confounding variables.A threshold effect analysis was conducted using a two-stage logistic model to find the non-linear inflection point.Subgroup analyses and interaction tests were conducted to validate the stability of the relationship between PDW and CAC.Results Non-linear relationship was observed between PDW and CAC risk in overweight and obese populations.The risk of CAC decreased with the increase of PDW which ≤17.80％(OR=0.82),but increased with the increase of PDW(OR=1.04)which＞17.80％.Subgroup analysis showed that the relationship between PDW and CAC remained stable in subgroups of different genders,BMI(＜28 kg/m2,≥28 kg/m2)and hypertension(all P＞0.05).Compared with aged＜40 years or ≥60 years subgroups,under the same PDW,aged≥40 and＜60 years subgroups had higher risk of CAC(interaction P=0.015).Conclusion Nonlinear relationship existed between PDW and CAC in overweight and obese populations.Both excessively high and low PDW were risk factors of CAC.