Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

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.

ObjectiveTo verify the association between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis by constructing an in vitro co-culture system of testis. MethodsTesticular tissue blocks from 20-25-day-old male rats were placed in an in vitro culture system， and the culture medium was replaced every 2 to 3 days. PCR was used to verify the expression of marker genes of various spermatogenic cells. RNA interference technology was employed to verify the correlation between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis. ResultsThe co-culture system could be continuously cultured for more than 2.5 months in vitro. RT-PCR showed that specific marker genes of spermatogonia， spermatocyte and spermoblast were expressed. The RNA and protein expression of Trib3 and Akt changed after the knocking down of Ddit3 and Trib3， respectively. It demonstrated the existence of Ddit3-Trib3-Akt signaling pathway in rat spermatogenesis. ConclusionThe culture time of more than 2.5 months indicates that the culture system can temporarily maintain the proliferation and differentiation of stem cells， and simultaneously maintain and stabilize spermatogenesis in a simple system. The successful validation of the Ddit3-Trib3-Akt signaling pathway also confirms that this culture system can be used to study possible molecular mechanisms of spermatogenesis in vitro.

Objective To explore the application effect of a standardized management method based on failure mode and effect analysis （FMEA） in optimizing the whole-process quality control system of the intravenous admixture service （PIVAS）. Methods The quality control management system of the PIVAS was optimized by establishing six quality control groups led by the head nurse, with full participation of pharmacy, nursing, and logistical staff, ensuring comprehensive coverage and traceability of all quality control links. Each group conducted risk priority number （RPN） scoring for potential failure modes in their respective quality control processes, and targeted improvement measures were formulated based on the scoring results. The RPN values of failure modes and quality control-related evaluation indicators before and after implementation were compared to achieve closed-loop management. Results After one year of management, the RPN values of the six major failure modes significantly decreased compared to those before implementation （P<0.05）. The compounding error rate dropped to 0.13%, the dispensing error rate decreased to 0.95%, the compounding efficiency increased to 98%, the delivery time was shortened by 0.45 h per batch, the intervention rate for irrational prescriptions rose to 94.87%, satisfaction improved to 96.78%, and the participation rate of quality control personnel reached 95.36% （P<0.05）. Conclusion FMEA-based identification of potential failure modes in the whole-process quality control system of the IVAS, combined with risk quantification and targeted interventions, significantly reduced high-risk failure modes, improved compounding accuracy and efficiency, and ensured the safety of clinical intravenous medication and the effectiveness of healthcare quality management.

Objective To explore the application effect of a standardized management method based on failure mode and effect analysis （FMEA） in optimizing the whole-process quality control system of the intravenous admixture service （PIVAS）. Methods The quality control management system of the PIVAS was optimized by establishing six quality control groups led by the head nurse, with full participation of pharmacy, nursing, and logistical staff, ensuring comprehensive coverage and traceability of all quality control links. Each group conducted risk priority number （RPN） scoring for potential failure modes in their respective quality control processes, and targeted improvement measures were formulated based on the scoring results. The RPN values of failure modes and quality control-related evaluation indicators before and after implementation were compared to achieve closed-loop management. Results After one year of management, the RPN values of the six major failure modes significantly decreased compared to those before implementation （P<0.05）. The compounding error rate dropped to 0.13%, the dispensing error rate decreased to 0.95%, the compounding efficiency increased to 98%, the delivery time was shortened by 0.45 h per batch, the intervention rate for irrational prescriptions rose to 94.87%, satisfaction improved to 96.78%, and the participation rate of quality control personnel reached 95.36% （P<0.05）. Conclusion FMEA-based identification of potential failure modes in the whole-process quality control system of the IVAS, combined with risk quantification and targeted interventions, significantly reduced high-risk failure modes, improved compounding accuracy and efficiency, and ensured the safety of clinical intravenous medication and the effectiveness of healthcare quality management.

Objective Using cockroach surveillance data in Nanjing from 2017 to 2024, we have descriptively analyzed population characteristics and changes in insecticide resistance among Blattella germanica, and have established a seasonal Autoregressive Integrated Moving Average (ARIMA) model to predict monthly population densities in Nanjing spanning the year 2025. Methods B. germanica density and infestation rate were monitored using the sticky trap method, and insecticide resistance was assessed using the residual contact method. Our ARIMA model was applied to fit and estimate cockroach density fluctuations over time. Results From 2017 to 2024, B. germanica accounted for 94.90% of all cockroach specimens captured in Nanjing, with an average density of 0.37 cockroaches per trap and an average infestation rate of 5.56%. Significant differences in density and infestation rate were observed among different habitats (P＜0.001). Significant downward annual trends in both density and infestation rate were found (P＜0.05). ARIMA was found to be the optimal model for fitting the density data from 2017 to 2024 (0, 1, 1) × (0, 1, 1)1 2. Conclusions From 2017 to 2024, B. germanica was overwhelmingly the dominant cockroach species in Nanjing, with both its density and infestation rate declining annually. A positive correlation was observed between the amount and proportion of insecticide use and the development of insecticide resistance (P＜0.05). The established model demonstrated good performance in predicting monthly B. germanica densities in Nanjing throughout 2025, providing a valuable reference for future surveillance and control efforts.

Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

Objective:To examine the effect of cumulative hemoglobin A 1c (HbA 1c) levels and insulin dosage on insulin resistance (IR)-related metabolic disturbances in newly diagnosed patients with type 1 diabetes (T1D). Methods:This retrospective cohort study included T1D patients admitted to the Second Xiangya Hospital of Central South University from November 2015 to March 2023. Clinical data collected comprised age, sex, disease duration, insulin dosage, body mass index, waist circumference, blood pressure, HbA 1c levels, islet autoantibodies, and fasting blood lipid profiles. IR-related metabolic disturbances assessed were overweight, obesity, central obesity, hypertension, and dyslipidemia. Cox regression and cluster analyses were applied to assess the influence of cumulative HbA 1c and insulin dosage on these metabolic disturbances. Results:A total of 235 patients were included, with 97 males (41.3%) and 138 females (58.7%). The median age was 19.8 (13.3, 31.1) years, and the median follow-up duration was 30.8 (20.8, 45.6) months. During follow-up, 41.6% (72/173) of patients developed IR-related metabolic disturbances. Multivariate Cox regression analysis revealed that a cumulative HbA 1c ≥60 mmol/mol was an independent risk factor for any IR-related metabolic disturbance [ HR (95% CI): 1.739 (1.067-2.835) ] and for triglyceride abnormalities [ HR (95% CI): 3.277 (1.176-9.127)]. Additionally, a cumulative insulin dosage ≥0.5 U·kg -1·d -1 was identified as an independent risk factor for overweight, obesity, or central obesity [ HR (95% CI): 2.374 (1.059-5.323)]. Cluster analysis further identified that patients with higher levels of cumulative HbA 1c and insulin dosage, particularly those with adolescent-onset diabetes, had the highest likelihood of developing hypertension ( HR=2.460, 95% CI 1.008-6.005), overweight/obesity/central obesity ( HR=2.707, 95% CI 1.062-6.900), triglyceride abnormalities ( HR=5.495, 95% CI 1.842-16.391), high-density lipoprotein cholesterol abnormalities ( HR=11.054, 95% CI 4.107-29.751), and any IR-related metabolic disturbance ( HR=5.833, 95% CI 2.602-13.077). Conclusions:Elevated cumulative HbA 1c and insulin dosage levels in T1D patients are associated with an increased risk of developing IR-related metabolic disturbances. These findings underscore the urgent need for novel therapeutic strategies tailored to this population.

Objective:To analyze the immunization status of routine vaccines for children aged 0-7 years old with special health status in Tianhe District, Guangzhou City, from 2023 to 2024.Methods:From April 2023 to March 2024, 42 vaccination units in Tianhe District, Guangzhou, were organized to collect data on diseases and vaccination history of children with special health status. Vaccination rates were calculated, and multivariate logistic regression models were used to explore the impact of special health status on vaccination rates.Results:A total of 1 976 children aged 0-7 years old with special health status were included, with an average of (1.26±0.58) diseases per participant. The average number of vaccine doses administered for routine immunizations was (14.29±4.27), and the full vaccination coverage was 72.76%. The vaccination rate of 10 doses in the immunization program vaccine was less than 90.00%. The timely rate of the first dose of hepatitis B vaccine (HepB1) was 74.14%, and that of the first dose of measles vaccine (MCV1) was 63.93%. Compared with children with infectious diseases, those with neonatal diseases were more likely to miss the third dose of poliomyelitis vaccine (PV3), MCV1 and the second dose of Group A meningococcal polysaccharide vaccine (MPSV-A2). Those with neuromuscular system diseases were more likely to miss PV3, MPSV-A2 and the first dose of Japanese encephalitis vaccine, live (JE-L1). Those with congenital heart disease were more likely to miss PV3, the third dose of diphtheria tetanus-acellular pertussis vaccine (DTaP3), MCV1, MPSV-A2, and JE-L1. Those with hematological disorders were more likely to miss PV3, MCV1, MPSV-A2, and JE-L1. Those with genetic diseases were more likely to miss MPSV-A2. Those with comorbidities were more likely to miss MCV1 and MPSV-A2. Those with neonatal diseases, neuromuscular system diseases, congenital heart disease, hematopoietic system diseases, genetic diseases, or comorbidities had difficulties in completing the full vaccination process.Conclusion:Children with special health conditions have lower rates of routine immunization and timely vaccination. More measures are needed to improve vaccination rates.

AIM To study the chemical constituents from the bark of Toona sinensis(A.Juss.)Roem and their anti-inflammatory activity.METHODS Silica gel,RP-18 reverse phase silica gel and HPLC were used for isolation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their anti-inflammatory activity were evaluated by RAW264.7 model.RESULTS Sixteen compounds were isolated and identified as(9Z)-18-hydroxyo-ctadec-9-en-4,6-diyn-3-one(1),toonapolyyne C(2),(9S,10E,16R)-octadec-10-ene-12,14-diyne-1,9,16-triol(3),(9S,10E,16R)-9,16-dihydroxyoctadec-10-ene-12,14-diy-n-1-yl acetate(4),toonapolyyne A(5),toonasindiyne B(6),scopoletin(7),sco-parone(8),3-O-acetyl(-)-epicatechin(9),p-ethoxyacetanilide(10),kulonic acid(11),β-sitosterol-3-O-β-D-glucopyranoside(12),vanillic acid(13),cleomiscosin A(14),(-)-isolariciresinol(15),resveratrol(16).The IC50 values of compounds 3-4,6,11-13 for NO were 6.90,10.49,20.03,9.49,18.34,24.36 μmol/L,respectively.CONCLUSION Compound 1 is a new polyacetylene,8-16 are isolated from T.sinensis for the first time.Compounds 3-4,6,11-13 have good anti-inflammatory activity.