Objective: To evaluate the operational efficiency of a single-center platelet genotype database in HLA genotype-matched platelet search and applcation, and to compare the efficiency among different matching strategies, hospitals, and between first-time versus repeat application modes. Methods: Data on platelet genotype-based matching applications from December 1, 2025, to May 31, 2026, at our center were collected. Four time intervals were defined according to the workflow: the time from clinical hospital application to blood center receipt confirmation (Δt ); the time from blood center confirmation to completion of platelet gene database search (Δt ); the time from completion of database searching to availability of compatible platelet products (Δt ); and the time from clinical hospital application to availability of compatible platelet products (Δt ). Applications were classified as first-time or repeat based on application history, and as speed-priority matching strategy or classical matching strategy based on matching approach, with efficiency differences compared across the groups. Results: A total of 1 051 valid matching applications were included. The median values of Δt , Δt , Δt , and Δt were 6.2 h, 0.1 h, 0.2 h, and 11.5 h, respectively. Overall, 55.9% of genotype-based matches resulted in compatible platelets being available on the same day. The median Δt of the speed-priority strategy was significantly shorter than that of the classical strategy (5.2 h vs 39.6 h, P<0.001). Median Δt differed significantly among hospitals (P<0.001), with the shortest being 4.4 h. The median Δt for repeat applications was 6.9 h, significantly shorter than that for first-time applications (27.7 h, P<0.001). Conclusion: The platelet gene database demonstrates sufficient efficiency in HLA genotype-matched platelet searching and application to meet clinical demands. Optimizing matching strategies and hospital application workflows may shorten the time for obtaining compatible platelets.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

Objective: To evaluate and compare the accuracy of responses to pediatric preventive dentistry-related questions between the domestic large language model, ChatGLM-6B, and the international large language model, ChatGPT-3.5, in order to provide insights for further research and development of domestic language models in the field of oral medicine. Methods: A total of 100 common pediatric preventive dentistry questions of varying difficulty levels [basic (n = 35), intermediate (n = 35), and advanced (n = 30) ] were provided by pediatric preventive dentistry experts. Two doctors independently registered these questions with ChatGPT-3.5 and ChatGLM-6B and collected the answers. A cohort of 16 dentists assessed responses generated by ChatGLM-6B and ChatGPT-3.5 using a predefined 3-point Likert scale. The average score of the ratings from 16 doctors was taken as the answer score. If the answer score was higher than 2.8, it was accepted as a accurate answer; if the score was lower than 1.4, it was accepted as an inaccurate answer; if the score was between 1.4 and 2.8, it was accepted as a partially accurate answer. Comparative analysis was conducted on the accuracy rates and evaluation outcomes between the two groups. Consistency analysis of the ratings was conducted Results: The answer accuracy rates of ChatGPT-3.5 and ChatGLM-6B for 100 pediatric preventive dentistry questions were comparable: ChatGPT-3.5 demonstrated 68% accurate, 30% partially accurate, and 2% inaccurate responses, while ChatGLM-6B showed 67% accurate, 31% partially accurate, and 2% inaccurate responses, with no statistically significant differences (P>0.05). Both models exhibited equivalent accuracy across questions of varying difficulty levels (basic, intermediate, advanced), showing no statistical differences (P>0.05). The overall average scores for ChatGPT3.5 and ChatGLM-6B in answering all questions were both 2.65, with no statistically significant difference (P>0.05). For questions of different difficulty levels, ChatGPT3.5 had an average score of 2.66 for basic questions while ChatGLM-6B had an average score of 2.70. For intermediate questions, ChatGPT3.5 had an average score of 2.63 and ChatGLM-6B had an average score of 2.64. For advanced questions, ChatGPT3.5 had an average score of 2.68, and ChatGLM-6B had an average score of 2.61. No statistically significant differences were observed across any difficulty category (P>0.05). The consistency of the experts’ grading ranged from fair to moderate. Conclusion This study demonstrates the potential of both ChatGLM-6B and ChatGPT-3.5 in answering pediatric preventive dentistry questions. ChatGLM-6B performed similarly to ChatGPT-3.5 in this field, but the accuracy rates of both models fell short of expectations and are not suitable for clinical use. Future efforts should focus on improving the accuracy and consistency of large language models in providing medical information, as well as developing specialized medical models for the field of oral medicine.

Objective:To explore the trajectories of breastfeeding social support and postpartum depression from childbirth through 6 months postpartum in postpartum women.Methods:A longitudinal survey method was adopted. Using convenience sampling method, postpartum women who were hospitalized and delivered in the First Affiliated Hospital of University of Science and Technology of China from June to July 2023 were selected. The Hughes Breastfeeding Support Scale (HBSS) and Edinburgh Postpartum Depression Scale (EPDS) were used to collect data at three times including departure (T1), 42 days postpartum (T2), and 6 months postpartum (T3). Repeated analysis of variance was used to explore the trajectories of breastfeeding social support and postpartum depression at different times, and LSD test was used for pairwise comparison. Pearson correlation analysis was used to analyze the relationship between the HBSS and EPDS.Results:Finally, 435 postpartum women completed the survey. There were 171 cases aged 20-29 years old, 237 cases aged 30-39 years old, and 27 cases aged ≥ 40 years old.The rate of exclusive breastfeeding for 6 months after delivery was 41.1%(179/435). The total score of HBSS in parturients was at a high level at T1, with a score of (84.08 ± 14.14) points, but at T2 and T3, it was at a moderate level with scores of (77.45 ± 15.29), (78.42 ± 15.97) points, respectively, and the difference was statistically significant at different time points ( F=36.59, P<0.01). The total score of EPDS in parturients at T1, T2, and T3, were (8.53 ± 4.81), (8.29 ± 5.52), (7.71 ± 5.02) points, respectively, and the difference was statistically significant at different time points ( F=6.44, P<0.01). The scores of HBSS were negatively correlated with the scores of EPDS at three times ( r=-0.345, -0.458, -0.578, all P<0.01). Conclusions:The level of breastfeeding social support and postpartum depression showed a dynamic change trend, and these two variables were negatively related. Nursing staff should strengthen the construction of social support network for breastfeeding, and implement personalized intervention measures according to the psychological characteristics of postpartum women in different stages to improve the current situation of breastfeeding.

Objective To explore relationship between glucose metabolism and neonatal weight in high-risk gestational diabetes melli-tus(GDM).Method A retrospective study was conducted on 779 pregnant women who underwent prenatal examinations at Tongzhou Maternity and Child Health Care Hospital in Beijing from March to June 2022.The data on pre-pregnancy weight,mid-and late-preg-nancy glycated albumin(GA)and glycated hemoglobin(HbA1c),pre-delivery weight,gestational weight gain,and neonatal birth weight were collected.A GDM risk assessment model was established using multivariate logistic regression to classify pregnant women into high-risk and low-risk groups for GDM,followed by separate management strategies.Regression discontinuity(RD)analysis was applied to evaluate the relationship between gestational glucose metabolism status and neonatal birth weight.Results Among the 779 pregnant women,the overall incidence of macrosomia was 7.32％.The high-risk GDM group exhibited significantly higher pre-pregnan-cy weight,late-pregnancy HbA1c,and GA levels compared to the low-risk group(all P＜0.001).Neonatal birth weight in the high-risk group was significantly higher than that in the low-risk group(P＜0.05),with a significantly increased macrosomia incidence(13.55％vs 5.77％,P＜0.05).RD analysis revealed a jump reduction of 199.59 g(P=0.029)in neonatal birth weight at the risk score thresh-old.Conclusion Lifestyle glucose metabolism management in high-risk GDM pregnant women may effectively reduce neonatal birth weight,mitigated the trend of excessive gestational weight gain,and improved late-pregnancy HbA1c and GA levels,providing evi-dence-based support for maternal and child health services.

lumbar fusion surgery is one of the commonly used surgical interventions and treatments for lumbar degenerative diseases.A small proportion of patients still experience complications such as low back pain after lumbar fusion surgery.Spinal-pelvic parameters are closely related to the occurrence of complications in patients after lumbar fusion surgery.This article reviews the commonly used lumbar fixation and fusion surgical techniques and mainstream sagittal spinal-pelvic parameters.Additionally,it summarizes the research progress and current status regarding the relationship between sagittal spinal-pelvic parameters and various postoperative complications,including low back pain.

Objective To explore relationship between glucose metabolism and neonatal weight in high-risk gestational diabetes melli-tus(GDM).Method A retrospective study was conducted on 779 pregnant women who underwent prenatal examinations at Tongzhou Maternity and Child Health Care Hospital in Beijing from March to June 2022.The data on pre-pregnancy weight,mid-and late-preg-nancy glycated albumin(GA)and glycated hemoglobin(HbA1c),pre-delivery weight,gestational weight gain,and neonatal birth weight were collected.A GDM risk assessment model was established using multivariate logistic regression to classify pregnant women into high-risk and low-risk groups for GDM,followed by separate management strategies.Regression discontinuity(RD)analysis was applied to evaluate the relationship between gestational glucose metabolism status and neonatal birth weight.Results Among the 779 pregnant women,the overall incidence of macrosomia was 7.32％.The high-risk GDM group exhibited significantly higher pre-pregnan-cy weight,late-pregnancy HbA1c,and GA levels compared to the low-risk group(all P＜0.001).Neonatal birth weight in the high-risk group was significantly higher than that in the low-risk group(P＜0.05),with a significantly increased macrosomia incidence(13.55％vs 5.77％,P＜0.05).RD analysis revealed a jump reduction of 199.59 g(P=0.029)in neonatal birth weight at the risk score thresh-old.Conclusion Lifestyle glucose metabolism management in high-risk GDM pregnant women may effectively reduce neonatal birth weight,mitigated the trend of excessive gestational weight gain,and improved late-pregnancy HbA1c and GA levels,providing evi-dence-based support for maternal and child health services.

Objective:To explore the trajectories of breastfeeding social support and postpartum depression from childbirth through 6 months postpartum in postpartum women.Methods:A longitudinal survey method was adopted. Using convenience sampling method, postpartum women who were hospitalized and delivered in the First Affiliated Hospital of University of Science and Technology of China from June to July 2023 were selected. The Hughes Breastfeeding Support Scale (HBSS) and Edinburgh Postpartum Depression Scale (EPDS) were used to collect data at three times including departure (T1), 42 days postpartum (T2), and 6 months postpartum (T3). Repeated analysis of variance was used to explore the trajectories of breastfeeding social support and postpartum depression at different times, and LSD test was used for pairwise comparison. Pearson correlation analysis was used to analyze the relationship between the HBSS and EPDS.Results:Finally, 435 postpartum women completed the survey. There were 171 cases aged 20-29 years old, 237 cases aged 30-39 years old, and 27 cases aged ≥ 40 years old.The rate of exclusive breastfeeding for 6 months after delivery was 41.1%(179/435). The total score of HBSS in parturients was at a high level at T1, with a score of (84.08 ± 14.14) points, but at T2 and T3, it was at a moderate level with scores of (77.45 ± 15.29), (78.42 ± 15.97) points, respectively, and the difference was statistically significant at different time points ( F=36.59, P<0.01). The total score of EPDS in parturients at T1, T2, and T3, were (8.53 ± 4.81), (8.29 ± 5.52), (7.71 ± 5.02) points, respectively, and the difference was statistically significant at different time points ( F=6.44, P<0.01). The scores of HBSS were negatively correlated with the scores of EPDS at three times ( r=-0.345, -0.458, -0.578, all P<0.01). Conclusions:The level of breastfeeding social support and postpartum depression showed a dynamic change trend, and these two variables were negatively related. Nursing staff should strengthen the construction of social support network for breastfeeding, and implement personalized intervention measures according to the psychological characteristics of postpartum women in different stages to improve the current situation of breastfeeding.

lumbar fusion surgery is one of the commonly used surgical interventions and treatments for lumbar degenerative diseases.A small proportion of patients still experience complications such as low back pain after lumbar fusion surgery.Spinal-pelvic parameters are closely related to the occurrence of complications in patients after lumbar fusion surgery.This article reviews the commonly used lumbar fixation and fusion surgical techniques and mainstream sagittal spinal-pelvic parameters.Additionally,it summarizes the research progress and current status regarding the relationship between sagittal spinal-pelvic parameters and various postoperative complications,including low back pain.