Objective To compare the clinical characteristics of pneumococcal meningitis in different age groups, and to provide a basis for early diagnosis of pneumococcal meningitis. Methods Cerebrospinal fluid and/or serum samples were collected from 1742 suspected cases of meningitis in Baoji, Shaanxi Province from August 2013 to July 2019. Streptococcus pneumoniae was detected by isolation culture and real-time fluorescence quantitative polymerase chain reaction. Retrospective analysis of clinical manifestations, biochemical indicators and other information of laboratory confirmed cases was conducted by χ² test or Fisher's exact test. Results A total of 1742 samples of encephalitis or meningitis cases were detected, and 41 cases were confirmed as laboratory-confirmed Streptococcus pneumoniae infection. Among them, there were 12 cases (29.27%) in the infant group, 14 cases (34.15%) in the child group, and 15 cases (36.59%) in the adult group. The proportion of the adults with headache was significantly higher than that of the infants (χ²=11.408，P＜0.017). The proportion of the adults with consciousness disorder, elevated white blood cells and elevated neutrophils were significantly higher than those in the infant and the child groups（Fisher's exact test, P＜0.017；χ² =6.428，P＜0.017；χ² =10.898，P＜0.017；χ² =6.421，P＜0.017；χ² =9.758，P＜0.017；χ² =7.744，P＜0.017). The proportion of the infants with cerebrospinal fluid turbidity was significantly higher than that of the children (Fisher's exact test，P＜0.017). The proportion of the infants with decreased white blood cells and reduced glucose in cerebrospinal fluid was significantly higher than that of the children group and the adult group（Fisher's exact test, P＜0.001；Fisher's exact test, P＜0.001；Fisher's exact test, P＜0.017; Fisher's exact test, P＜0.017). Conclusion Most adult patients with pneumococcal meningitis have headache and consciousness disorders, with significantly increased proportion of white blood cells and neutrophils. Infant patients tend to have cloudy appearance of cerebrospinal fluid, leukopenia in blood, and decreased glucose in cerebrospinal fluid.

Objective:To analyze the multimorbidity trends and influencing factors of internet addiction and depressive symptoms among middle school students in Zhejiang Province.Methods:From 2018 to 2023, a multistage stratified random cluster sampling method was used to select middle school students aged 12 to 18 in Zhejiang Province. Internet addiction and depression status were measured by the Internet Addiction Scale and the Center for Epidemiologic Studies Depression Scale. When both symptoms were present, it was defined as multimorbidity.The multivariate logistic regression model was used to analyze the influencing factors of multimorbidity among middle school students, and a trend Chi-square test was used to analyze the changing trends of internet addiction, depression and multimorbidity prevalence. Results:A total of 193 505 students were included in the study. From 2018 to 2023, the prevalence of multimorbidity of internet addiction and depressive symptoms among middle school students ranged from 2.7% to 3.5%. The prevalence of internet addiction ranged from 4.7% to 6.0%, while the prevalence of depressive symptoms ranged from 18.7% to 25.1%. Multivariate logistic regression showed that boarding students ( OR=1.34 , 95% CI: 1.26-1.42), low-frequency ( OR=1.59, 95% CI: 1.46-1.73), and high-frequency sugary drink consumption ( OR=3.91, 95% CI: 3.55-4.31) increased the risk of multimorbidity among middle school students. In contrast, higher frequencies of moderate-to-high-intensity exercise (medium: OR=0.54, 95% CI: 0.50-0.58; high: OR=0.49, 95% CI: 0.44-0.55) and sufficient sleep ( OR=0.52, 95% CI: 0.49-0.56) were protective factors. From 2018 to 2023, there was no significant change in the trend of multimorbidity prevalence among middle school students ( χ2trend=3.82, P=0.051). The prevalence of internet addiction showed an upward trend ( χ2trend=20.54, P<0.001), while depressive symptoms showed a downward trend ( χ2trend=181.41, P<0.001). Conclusion:The prevalence of internet addiction and depression symptoms among middle school students in Zhejiang Province remains stable from 2018 to 2023. The prevalence of internet addiction shows an upward trend, while the prevalence of depression symptoms shows a downward trend. The risk of multimorbidity is related to students′ boarding, consumption of sugary drinks, lack of exercise, and insufficient sleep.

Objective:To explore the clinical application value of convolutional neural network（CNN）based on deep learning in the automatic measurement of dynamic pelvic floor ultrasound video parameters and the diagnosis and classification of cystocele.Methods:A retrospective analysis was conducted on dynamic pelvic floor ultrasound videos from 398 postpartum women who underwent examinations at the First People's Hospital of Foshan between June 2020 and June 2022. The lowest point of the posterior bladder wall（PWB），urethral rotation angle（URA），and retrovesical angle（RVA）were manually measured by a senior radiologist（R1）and a junior radiologist（R2），and cystocele was classified according to the Green standard. The CNN model was employed to automatically extract the above parameters and to diagnose and classify cystocele. Using R1 measurements as a reference，intraclass correlation coefficient（ICC）was used to evaluate the consistency between the CNN model and R1，as well as between R2 and R1. The Kappa value was used to assess the agreement between the CNN model，R2，and R1 in the diagnosis and classification of cystocele. Additionally，the time consumption of the three measurement methods was compared.Results:The CNN model showed good consistency with R1 in measuring PWB and URA（ICC = 0.983，0.894），while its consistency in measuring RVA was moderate（ICC = 0.614）. The ICC between R2 and R1 in measuring PWB，URA，and RVA was 0.979，0.815，and 0.627，respectively. In the measurement of PWB and URA，the consistency between the CNN model and R1 was superior to that between R2 and R1. For cystocele diagnosis，the Kappa value between the CNN model and R1 was 0.924，which was higher than that between R2 and R1（0.904）. In cystocele classification，the Kappa value between the CNN model and R1 was 0.503，also higher than that between R2 and R1（0.426）. The CNN model processed a single video in 2.5（0.6）s，significantly faster than R1［59.9（16.9）s］and R2［56.8（11.2）s］（all P < 0.001）. Conclusions:The CNN model demonstrates high accuracy and efficiency in the measurement，diagnosis，and classification of cystocele，outperforming a junior radiologist and showing potential for clinical application.

Objective:To evaluate the clinical feasibility and safety of uterine suture with tourniquet binding during cesarean delivery for placenta previa with placenta accreta spectrum (PAS) grades 2-3a.Methods:This retrospective cohort study included 62 patients with placenta previa and PAS grades 2-3a who underwent cesarean section at the First Affiliated Hospital of Kangda College of Nanjing Medical University (the First People's Hospital of Lianyungang) from June 2018 to June 2023. Participants were divided into two groups according to vascular occlusion method: 31 patients receiving uterine suture with aortic balloon and/or uterine artery embolization comprised the intervention group, while 31 patients undergoing uterine suture with rubber tourniquet binding constituted the tourniquet group. Clinical characteristics and outcomes were compared, including operative duration, 24-hour postoperative blood loss, postoperative hospitalization, costs (hospitalization and 24-hour transfusion), early complications (late postpartum hemorrhage, fever, disseminated intravascular coagulation, organ injury), and late complications (menstrual changes, pelvic pain, urinary tract infections within 6-12 months). Statistical analyses employed two independent t-tests, Mann-Whitney U tests, and Chi square tests. Results:(1) Baseline characteristics, including maternal age, gestational weeks at delivery, gravidity and parity, number of previous cesarean deliveries, hemoglobin levels within 24 hours before surgery, neonatal birth weight, or proportion of emergency surgeries, showed no significant differences between the two groups (all P>0.05). (2) The tourniquet group demonstrated shorter operative duration [(118.3±38.2) vs. (180.7±66.6) min, t=3.87, P<0.001] and postoperative hospitalization [(5.9±1.7) vs. (7.6±2.2) d, t=3.04, P=0.002], with lower hospitalization costs [20 000 (15 000-23 000) vs. 44 000 (34 000-52 000) CNY, Z=5.92, P<0.001] and 24-hour transfusion costs [1 300.0 (1 207.5-2 400.0) vs. 2 828.0 (1 634.5-5 657.7) CNY, Z=2.90, P=0.004]. Early complication rates were significantly reduced [6.5% (2/31) vs. 35.5% (11/31), χ2=7.88, P=0.005], while 24-hour blood loss [1 574.2 (900.0-2 000.0) vs. 1 990.3 (1 000.0-2 500.0) ml, Z=1.37, P=0.172] and late complication rates [25.8% (8/31) vs. 32.3% (10/31), χ2=0.48, P=0.399] showed no significant differences. Conclusion:For placenta previa with PAS grades 2-3a, tourniquet-binding uterine suture effectively controls hemorrhage, reduces operative time, hospitalization duration, and costs, representing a safe and efficient surgical approach.

Objective:To explore the clinical application value of convolutional neural network（CNN）based on deep learning in the automatic measurement of dynamic pelvic floor ultrasound video parameters and the diagnosis and classification of cystocele.Methods:A retrospective analysis was conducted on dynamic pelvic floor ultrasound videos from 398 postpartum women who underwent examinations at the First People's Hospital of Foshan between June 2020 and June 2022. The lowest point of the posterior bladder wall（PWB），urethral rotation angle（URA），and retrovesical angle（RVA）were manually measured by a senior radiologist（R1）and a junior radiologist（R2），and cystocele was classified according to the Green standard. The CNN model was employed to automatically extract the above parameters and to diagnose and classify cystocele. Using R1 measurements as a reference，intraclass correlation coefficient（ICC）was used to evaluate the consistency between the CNN model and R1，as well as between R2 and R1. The Kappa value was used to assess the agreement between the CNN model，R2，and R1 in the diagnosis and classification of cystocele. Additionally，the time consumption of the three measurement methods was compared.Results:The CNN model showed good consistency with R1 in measuring PWB and URA（ICC = 0.983，0.894），while its consistency in measuring RVA was moderate（ICC = 0.614）. The ICC between R2 and R1 in measuring PWB，URA，and RVA was 0.979，0.815，and 0.627，respectively. In the measurement of PWB and URA，the consistency between the CNN model and R1 was superior to that between R2 and R1. For cystocele diagnosis，the Kappa value between the CNN model and R1 was 0.924，which was higher than that between R2 and R1（0.904）. In cystocele classification，the Kappa value between the CNN model and R1 was 0.503，also higher than that between R2 and R1（0.426）. The CNN model processed a single video in 2.5（0.6）s，significantly faster than R1［59.9（16.9）s］and R2［56.8（11.2）s］（all P < 0.001）. Conclusions:The CNN model demonstrates high accuracy and efficiency in the measurement，diagnosis，and classification of cystocele，outperforming a junior radiologist and showing potential for clinical application.

Objective:To evaluate the clinical feasibility and safety of uterine suture with tourniquet binding during cesarean delivery for placenta previa with placenta accreta spectrum (PAS) grades 2-3a.Methods:This retrospective cohort study included 62 patients with placenta previa and PAS grades 2-3a who underwent cesarean section at the First Affiliated Hospital of Kangda College of Nanjing Medical University (the First People's Hospital of Lianyungang) from June 2018 to June 2023. Participants were divided into two groups according to vascular occlusion method: 31 patients receiving uterine suture with aortic balloon and/or uterine artery embolization comprised the intervention group, while 31 patients undergoing uterine suture with rubber tourniquet binding constituted the tourniquet group. Clinical characteristics and outcomes were compared, including operative duration, 24-hour postoperative blood loss, postoperative hospitalization, costs (hospitalization and 24-hour transfusion), early complications (late postpartum hemorrhage, fever, disseminated intravascular coagulation, organ injury), and late complications (menstrual changes, pelvic pain, urinary tract infections within 6-12 months). Statistical analyses employed two independent t-tests, Mann-Whitney U tests, and Chi square tests. Results:(1) Baseline characteristics, including maternal age, gestational weeks at delivery, gravidity and parity, number of previous cesarean deliveries, hemoglobin levels within 24 hours before surgery, neonatal birth weight, or proportion of emergency surgeries, showed no significant differences between the two groups (all P>0.05). (2) The tourniquet group demonstrated shorter operative duration [(118.3±38.2) vs. (180.7±66.6) min, t=3.87, P<0.001] and postoperative hospitalization [(5.9±1.7) vs. (7.6±2.2) d, t=3.04, P=0.002], with lower hospitalization costs [20 000 (15 000-23 000) vs. 44 000 (34 000-52 000) CNY, Z=5.92, P<0.001] and 24-hour transfusion costs [1 300.0 (1 207.5-2 400.0) vs. 2 828.0 (1 634.5-5 657.7) CNY, Z=2.90, P=0.004]. Early complication rates were significantly reduced [6.5% (2/31) vs. 35.5% (11/31), χ2=7.88, P=0.005], while 24-hour blood loss [1 574.2 (900.0-2 000.0) vs. 1 990.3 (1 000.0-2 500.0) ml, Z=1.37, P=0.172] and late complication rates [25.8% (8/31) vs. 32.3% (10/31), χ2=0.48, P=0.399] showed no significant differences. Conclusion:For placenta previa with PAS grades 2-3a, tourniquet-binding uterine suture effectively controls hemorrhage, reduces operative time, hospitalization duration, and costs, representing a safe and efficient surgical approach.

Objective:To analyze the multimorbidity trends and influencing factors of internet addiction and depressive symptoms among middle school students in Zhejiang Province.Methods:From 2018 to 2023, a multistage stratified random cluster sampling method was used to select middle school students aged 12 to 18 in Zhejiang Province. Internet addiction and depression status were measured by the Internet Addiction Scale and the Center for Epidemiologic Studies Depression Scale. When both symptoms were present, it was defined as multimorbidity.The multivariate logistic regression model was used to analyze the influencing factors of multimorbidity among middle school students, and a trend Chi-square test was used to analyze the changing trends of internet addiction, depression and multimorbidity prevalence. Results:A total of 193 505 students were included in the study. From 2018 to 2023, the prevalence of multimorbidity of internet addiction and depressive symptoms among middle school students ranged from 2.7% to 3.5%. The prevalence of internet addiction ranged from 4.7% to 6.0%, while the prevalence of depressive symptoms ranged from 18.7% to 25.1%. Multivariate logistic regression showed that boarding students ( OR=1.34 , 95% CI: 1.26-1.42), low-frequency ( OR=1.59, 95% CI: 1.46-1.73), and high-frequency sugary drink consumption ( OR=3.91, 95% CI: 3.55-4.31) increased the risk of multimorbidity among middle school students. In contrast, higher frequencies of moderate-to-high-intensity exercise (medium: OR=0.54, 95% CI: 0.50-0.58; high: OR=0.49, 95% CI: 0.44-0.55) and sufficient sleep ( OR=0.52, 95% CI: 0.49-0.56) were protective factors. From 2018 to 2023, there was no significant change in the trend of multimorbidity prevalence among middle school students ( χ2trend=3.82, P=0.051). The prevalence of internet addiction showed an upward trend ( χ2trend=20.54, P<0.001), while depressive symptoms showed a downward trend ( χ2trend=181.41, P<0.001). Conclusion:The prevalence of internet addiction and depression symptoms among middle school students in Zhejiang Province remains stable from 2018 to 2023. The prevalence of internet addiction shows an upward trend, while the prevalence of depression symptoms shows a downward trend. The risk of multimorbidity is related to students′ boarding, consumption of sugary drinks, lack of exercise, and insufficient sleep.

Objective:To explore the relationship between glycosylated hemoglobin A 1c/high-density lipoprotein cholesterol ratio (HbA 1c/HDL-C) and urinary albumin-creatinine ratio (UACR) in Chinese adults. Methods:In this cross-sectional study, the clinical data of 43 820 community residents (age>40 years) from the Risk Evaluation of Cancers in Chinese Diabetic Individuals (REACTION study; March-December 2012) across eight centers (Liaoning, Guangdong, Shanghai, Gansu, Guangxi, Henan, Hubei, and Sichuan) in China were collected and analyzed. Participants were divided into three groups based on UACR levels:<10 mg/g, 10-30 mg/g, and >30 mg/g. The HbA 1c/HDL-C ratio was divided into four groups according to quartile division of the subjects: 1st quartile (Q1<3.79), 2nd quartile (3.79≤Q2<4.59), 3rd quartile (4.59≤Q3≤5.66), and 4th quartile (Q4>5.66). Multivariate ordinal logistic regression model was used to analyze the relationship between HbA 1c/HDL-C and UACR. Receiver operating characteristic (ROC) analysis was used to explore the predictive value of HbA 1c/HDL-C to UACR. Results:The 43 820 subjects included 13 452 (30.70%) male and 30 378 (69.30%) female patients, with an average age of (58.00±0.05) years. According to results of one-way analysis of variance analysis, the HbA 1c/HDL-C ratio was significantly associated with the risk of increased UACR ( F=495.73, P<0.001). After adjusting for clinically relevant confounding variables in logistic regression model, compared with participants with the lowest HbA 1c/HDL-C ratio (Q1), women with the highest HbA 1c/HDL-C ratio (Q4) had a 1.483-fold (95% CI 1.376-1.598, P<0.001) and men had a 1.161-fold (95% CI 1.019-1.323, P<0.001) increased risk of UACR. The ROC curve analysis showed that the area under the curve of HbA 1c/HDL-C for predicting increased UACR was 0.623 (95% CI 0.597-0.606), with a sensitivity of 60.18% and a specificity of 54.91%. The HbA 1c/HDL-C ratio showed the highest predictive value of all glycemic and lipidemic parameters. In individuals with well-controlled blood glucose (HbA 1c<6.5%) or lipid levels (HDL-C≥1.0 mmol/L), the HbA 1c/HDL-C ratio was still independently associated with the risk of increased UACR after adjusting for confounding variables [ OR(95% CI) of quartile 4: 1.563 (1.210-2.019, P=0.001) in participants with HbA 1c<6.5% and 1.822 (1.687-1.968, P<0.001) in participants with HDL-C≥1.0 mmol/L]. Conclusion:As a novel compound indicator for evaluating glucose homeostasis and dyslipidemia, the HbA 1c/HDL-C ratio was independently associated with increased UACR in the general population aged>40 years in China, which was superior to both glycemic and lipid parameters alone.

OBJECTIVE To review the application and development of automatic intelligent drug cabinet in hospitals at home and abroad. METHODS The relevant research articles published from 2010 to 2022 were retrieved from CNKI, Wanfang, VIP, PubMed and other databases. RESULTS The application of automatic intelligent drug cabinet could shorten the execution time of inpatient medical orders, improve the work efficiency of pharmacists and doctors and nurses, improve the quality of drug management in wards and promote the transformation of hospital pharmaceutical care. CONCLUSION The construction of decentralized dispensing mode with automated intelligent drug cabinets as the core has important theoretical guiding significance and broad application prospects for the automation, informatization, intelligence and whole process management of drugs in medical institutions, and also helps to improve the level of medical pharmacy service management.

Objective:To investigate the efficacy of different treatment modes for locoregional recurrence after nephrectomy in patients with renal cell carcinoma.Methods:A total of 106 patients with locoregional recurrence after nephrectomy without distant metastasis (77 males and 29 females) admitted to Sun Yat-sen University Cancer Center from October 2001 to July 2020 were retrospectively analyzed. The median age was 51 (40, 60) years old. Radical nephrectomy was performed in 90 patients with primary tumor and partial nephrectomy was performed in 16 patients. Pathological diagnosis showed that 54 cases were clear cell carcinoma and 52 cases were non-clear cell carcinoma. 53 cases were in stage T 1-2 and 53 cases in stage T 3-4. The median diameter of recurrent lesions was 3.2 (2.0, 6.3) cm, and the median number was 2 (1, 4). The recurrence sites were divided into renal fossa recurrence (33 cases), renal fossa±retroperitoneal lymph node recurrence (38 cases), and intra-abdominal spread (35 cases). The median duration from primary surgery to local recurrence was 14.8 (7.3, 35.8) months. Two treatment groups were identified as systemic therapy alone (Group A) and local therapy with or without systemic therapy (Group B). The Kaplan-Meier method was used to compare the progression free survival (PFS) and overall survival (OS) between Group A and Group B. The Cox model was used to perform univariate and multivariate analysis. Results:Of all the 106 patients, 33 patients were in Group A and 73 patients were in Group B. In Group A, 29 patients (87.9%) received targeted therapy, and 4 patients (12.1%) received targeted therapy combined with immunotherapy. In Group B, 34 patients (46.6%) received surgery or ablation and 39 patients (53.4%) received SBRT, of which 62 patients (84.9%) received concurrent systemic therapy. Among them, 58 patients (93.5%) received targeted therapy, and 4 patients (6.5%) received targeted therapy combined with immunotherapy. The median follow-up period was 29.0 (15.4, 45.9) months, 64 patients progressed on tumor including 28 patients died. The median PFS and OS were 15.6 (7.1, 35.2) months and 66.9 (37.8, not reached) months. The median PFS of Group A and Group B were 7.6(5.0, 17.2)months and 22.2(9.6, 63.9)months respectively ( P=0.001), median OS of Group A and Group B were 45.7 (23.4, 62.8)months and 71.0(50.6, not reached)months respectively, and the 2-year OS were 70.6% and 85.5% in Group A and Group B respectively ( P=0.023). The univariate analysis showed local therapy with or without systemic therapy was significantly reduced 56% risk of tumor progression ( HR=0.44, P=0.003) and reduced 60% risk of death ( HR=0.40, P=0.028). The multivariate analysis showed that the OS was associated with ECOG score( HR=10.20, 95% CI 4.13-25.30, P<0.001)and local therapy( HR=0.23, 95% CI 0.09-0.58, P=0.002). Conclusion:Compared with systemic therapy alone, local therapy with or without systemic therapy can effectively improve the PFS and OS of patients with locoregional recurrence after nephrectomy.