Objective:To analyze the epidemiological and clinical characteristics of pertussis cases identified through active surveillance.Methods:Active surveillance for pertussis was conducted in three sentinel hospitals in Yiwu, Zhejiang Province, and Yongcheng, Henan Province. The study population included cases that met the surveillance case definition and sought medical care at outpatient/emergency departments or were hospitalized between June 1, 2021, and May 31, 2022. Samples were collected for bacterial culture and PCR detection. Case information and clinical data were collected. Differences in rates were assessed using the chi-square test or Fisher's exact probability test, and the differences in cough time were compared using the Mann-Whitney U test. Results:Among 1 423 cases of pertussis surveillance, the positive rate of pertussis was 28.11% (400/1 423), with a median age of 5 years (interquartile range: 2, 8). The positive rate in Yongcheng, Henan Province, and Yiwu, Zhejiang Province were 39.27% (216/550) and 21.08% (184/873), respectively; the positive rate of pertussis was highest in July 2021, and the highest positive rate of pertussis was among those aged 10-14. The positive rate of pertussis in hospitalized cases was higher than in outpatient/emergency cases (26.68%) ( χ2=4.16, P=0.041). Among the 400 laboratory test-positive cases, the highest proportion of atypical symptom cases was in adults aged 20-59 (43.33%, 13/30). The specificity rates of apnea and worsening nocturnal cough in monitored cases under 3 months of age were 100.00% and 73.81%, respectively. Among monitored cases aged 3 months to 9 years, the proportions of symptoms including worsening nighttime cough (63.00%) and night sweats (4.59%) in test-positive cases were significantly higher than those in the test-negative group (47.77% and 0.56%, respectively), with statistically significant differences (both P<0.05). The specificity rates of worsened nighttime coughing and night sweats were 52.23% and 99.44%, respectively. Conclusions:The active surveillance results for pertussis showed that the 10-14 age group exhibited the highest positivity rate. Active surveillance enhanced the detection rate of pertussis. Among laboratory-confirmed cases, the proportion of atypical symptoms was the highest in adults, suggesting that laboratory testing should be combined to diagnose programs of pertussis. For infants under 3 months, worsening nighttime cough and apnea increase the diagnostic specificity, while for individuals aged 3 to 9 years old, worsening nighttime cough and night sweats increase the diagnostic specificity.

Objective:To investigate the correlation between membranous urethral length (MUL) and early urinary continence recovery after robot-assisted radical prostatectomy (RARP).Methods:A retrospective analysis was conducted on 71 prostate cancer patients who underwent RARP by a single surgeon at the PLA General Hospital between January 2020 and December 2023. Patient characteristics included: age of (65.32±6.04) years, BMI (25.21 ± 2.59) kg/m 2, prostate volume 32.41 (24.75, 44.40) ml, PSA 11.67 (8.22, 22.66) ng/ml. Gleason score [6/7/8/9-10: 15 (21.2%)/29 (40.8%)/16 (22.5%)/11 (15.5%)], Clinical stage [cT 1/cT 2/cT 3: 4 (5.6%)/61 (85.9%)/6 (8.5%)]. Measured MUL using multiparametric prostate MRI, median MUL was 13.25 (10.41-14.99) mm. Neurovascular bundle (NVB) preservation in 13 (18.3%) cases. Patients were grouped based on continence recovery at 1 and 3 months post-catheter removal. Age, BMI, prostate volume, PSA, Gleason score, clinical stage, NVB preservation, pathological stage, catheter indwelling time, and MUL were compared between groups. Multivariate analysis identified independent predictors of continence recovery. Results:All 71 surgeries were successful, pathological stage [pT 2/pT 3-4: 47 (66.2%)/24 (33.8%)], and catheter indwelling time 2.7 (2.0, 3.0) weeks. Follow-up data at 2 months were available for 71 patients, at 1 month, 42 patients achieved continence (continence group) and 29 had incontinence (incontinence group).No significant differences were observed between continence and incontinence groups in age [(64.93±6.48)years vs. (65.79±5.89) years], BMI [(26.26±2.52)kg/m 2 vs. (24.52±2.42) kg/m 2], prostate volume [32.00 (24.12, 41.11)ml vs. 33.00 (25.27, 47.97) ml], PSA [12.55 (8.31, 24.00) ng/ml vs. 11.30 (7.92, 20.65) ng/ml], Gleason score [6/7/8/9-10: 6 (14.2%)/18 (42.9%)/12 (28.6%)/6 (14.3%) vs. 9 (31.0%)/11 (37.9%)/4 (13.8%)/5 (17.3%)], clinical stage [cT 1/cT 2/cT 3: 2 (4.8%)/35 (83.3%)/5 (11.9%) vs. 2 (6.9%)/26 (89.7%)/1 (3.4%)], NVB preservation [7 (16.7%) vs. 6 (20.7%)], pathological stage [pT 2/pT 3-4: 27 (64.3%)/15 (35.7%) vs. 20 (69.0%)/9 (31.0%)], or catheter indwelling time [2.6(2.0, 3.0) weeks vs. 2.9 (2.0, 3.4) weeks]. However, MUL was significantly longer in the continence group [13.77 (11.70, 15.32) mm vs. 10.32 (9.65, 13.57) mm, P<0.01]. Follow-up data at 3 months were available for 69 patients, At 3 months, 61 patients achieved continence (continence group) and 8 remained incontinent (incontinence group). No significant differences were observed in age [(64.89±6.25)years vs. (68.13±4.09) years], BMI [(25.34±2.64)kg/m 2 vs. (24.36±2.49) kg/m 2], prostate volume [32.41 (24.44, 44.16)ml vs. 36.13 (27.48, 48.26) ml], PSA [12.50 (8.28, 22.76)ng/ml vs. 13.34 (5.88, 23.39) ng/ml], Gleason score [6/7/8/9-10: 12 (19.7%)/25 (41.0%)/14 (23.0%)/10 (16.3%) vs. 3 (37.5%)/3 (37.5%)/2 (25.0%)/0], clinical stage [cT 1/cT 2/cT 3: 3 (4.9%)/52 (85.2%)/6 (9.8%) vs. 1 (12.5%)/7 (87.5%)/0], NVB preservation [9 (14.8%) vs. 3 (37.5%)], pathological stage [pT 2/pT 3-4: 41 (67.2%)/20 (32.8%) vs. 5 (62.5%)/9 (31.0%)], or catheter indwelling time [2.7(2.0, 3.0)weeks vs. 3.0 (2.3, 3.7) weeks]. MUL remained significantly longer in the continence group [13.57 (10.57, 15.10)mm vs. 10.12 (9.36, 10.42) mm, P=0.002]. Multivariate logistic regression incorporating age, BMI, prostate volume, MUL, NVB preservation, and catheter indwelling time identified MUL as an independent protective factor for continence recovery at both 1 month [ OR=0.62, 95 CI 0.49-0.79, P<0.01] and 3 months [ OR=0.61, 95 CI 0.41-0.92, P=0.017]. Conclusions:MUL is independently associated with early urinary continence recovery after RARP, serving as a protective predictor at both 1 and 3 months after catheter removal.

Objective:This study investigated the independent risk factors for lymph node metastasis（LNM）in high-risk prostate cancer（HRPCa）patients undergoing robot-assisted radical prostatectomy（RARP），and constructed a nomogram model based on clinical data to improve the accuracy and clinical practicality of preoperative prediction of LNM.Methods:A retrospective analysis was conducted on the clinical data of 218 HRPCa patients who received RARP treatment at the First Medical Center of the PLA General Hospital from January 2020 to March 2025 as the modeling group. The age of the modeling group was（66.91±6.94）years old. 75 cases（34.40%）had a history of smoking，and 48 cases（22.02%）had a history of drinking. There were a body mass index（BMI）of 25.55（23.58，27.00）kg/m 2，a total prostate-specific antigen（tPSA）of 20.59（10.42，30.61）ng/ml，a free prostate-specific antigen（fPSA）of 1.87（1.04，3.26）ng/ml，a prostate volume（PV）of（41.19±21.00）ml，a prostate-specific antigen density（PSAD）of 0.52（0.30，0.84）ng/ml 2. Among the patients，60 cases（27.52%）had a preoperative biopsy Gleason score >8，and the percentage of positive biopsy cores（PPBC）was 50%（31%，80%）. Thirty-one patients（14.22%）were staged clinically as >T 2c. The diagnostic criteria for high-risk prostate cancer（HRPCa）were defined as meeting any one of the following：PSA >20 ng/ml，Gleason score on prostate biopsy ≥8，or clinical stage ≥T 3. Among the 218 patients in the modeling cohort，67 cases（30.73%）met two of the criteria，and 7 cases（3.21%）met all three criteria. All 218 patients underwent RARP，and based on postoperative pathology，they were divided into the LNM group and the non-LNM group. The relationship between the number of diagnostic criteria met and the occurrence of LNM was analyzed. An external validation cohort included 42 HRPCa patients who underwent RARP at the Third，Fifth Medical Centers of the PLA General Hospital between January 2023 and May 2025. Their mean age was（66.79±5.92）years. Eighteen patients（42.86%）had a smoking history，and nine（21.43%）had a history of alcohol consumption. The median BMI was 26.00（23.80，27.13）kg/m 2. The median tPSA level was 17.34（8.97，27.30）ng/ml. The median fPSA was 1.51（0.83，2.52）ng/ml，and the median PV was（35.57 ± 15.25）ml. The median PSAD was 0.57（0.23，0.87）ng/ml 2，and the median PPBC was 58%（36%，71%）. Three patients（7.14%）had a clinical stage >T 2c，and 12 patients（28.57%）had a Gleason score >8 on preoperative biopsy. Univariate and multivariate binary logistic regression analyses were used to identify independent risk factors for LNM，and a nomogram model was constructed based on these factors. The predictive performance of the model was evaluated using receiver operating characteristic（ROC）curves and calibration plots，and the model was validated in the external cohort. Result:According to postoperative pathology，45 patients were classified into the LNM group，and 173 into the non-LNM group. The probability of LNM increased proportionally with the number of diagnostic criteria met for HRPCa（meeting two criteria： OR = 4.762，95% CI 2.323-9.761， P < 0.01；meeting three criteria： OR = 10.667，95% CI 2.187-52.025， P=0.003）. Binary logistic regression analysis revealed that age（ OR=0.913，95% CI 0.859-0.971， P = 0.004），tPSA（ OR=1.039，95% CI 1.018-1.061， P<0.01），PPBC（ OR = 5.656，95% CI 1.101-29.056， P = 0.038），and clinical T stage（T 2c stage： OR=2.945，95% CI 0.888-9.769， P=0.077；>T 2c stage OR = 18.351，95% CI 4.790-70.306， P < 0.01）were independent risk factors for postoperative LNM in HRPCa patients after RARP. The ROC curve of the nomogram model based on these factors showed an area under the curve（AUC）of 0.853（95% CI 0.790-0.917）. In the external validation cohort，the nomogram achieved an AUC of 0.743（95% CI 0.556-0.929）. The calibration plots demonstrated good agreement between the predicted probabilities and actual observations. Conclusions:Age，tPSA，PPBC，and clinical T stage were independent predictors of postoperative LNM in HRPCa patients undergoing RARP. The greater the number of HRPCa diagnostic criteria met，the higher the likelihood of postoperative LNM. The nomogram developed in this study could effectively predict the risk of LNM in HRPCa patients after RARP.

Urinary incontinence is a common complication after radical prostatectomy，which seriously affects the quality of life of patients. As a simple and convenient reconstruction technique，the anterior suspension stitch technique can improve the early recovery of urinary continence by providing anterior support and stabilizing the urethral position. This article will review the proposal，innovative development of this technique and the application of the emerging suspension stitch technique in radical prostatectomy.

Objective:To investigate the risk factors for positive surgical margins（PSM）after robot-assisted radical prostatectomy（RARP），and to develop and validate a predictive nomogram.Methods:We retrospectively analyzed the clinicopathological data of 874 prostate cancer patients who underwent RARP performed by a single surgeon at the First Medical Center of Chinese PLA General Hospital between January 2012 and December 2018. Patients were divided into positive surgical margin（n=327）and negative surgical margin（n=547）groups based on postoperative margin status.The PSM group had significantly higher preoperative median tPSA［31.200（19.050，54.400）ng/ml vs. 15.050（9.840，27.590）ng/ml， P<0.01］，higher proportion of patients with PSAD>1 ng/ml 2［49.5%（162/327）vs. 21.2%（116/547）， P<0.01］，biopsy Gleason score ≥8［33.3%（109/327）vs. 21.2%（116/547）， P<0.01］，ISUP grade 4-5［33.3%（109/327）vs. 21.2%（116/547）， P<0.01］，clinical T stage ≥cT 3［11.3%（37/327）vs. 4.2%（23/547）， P<0.01］，and high-risk classification［82.3%（269/327）vs. 55.9%（306/547）， P<0.01］compared to the negative surgical margin group. Conversely，the PSM group had a lower prevalence of hypertension［29.7%（97/327）vs. 40.2%（220/547）， P=0.002］.Patients were randomly split into a training cohort（n=656，75%）and an internal validation cohort（n=218，25%）. An external validation cohort included 71 patients who underwent RARP by different surgeons between January 2014 and December 2016. No significant differences in baseline characteristics were observed between cohorts（ P>0.05）.Univariate and multivariate logistic regression analyses identified independent predictors of PSM，which were incorporated into a nomogram. Predictive performance was assessed using receiver operating characteristic（ROC）curves，decision curve analysis（DCA），and calibration curve. Internal and external validations were performed. Results:The PSM group had longer postoperative hospitalization［6（5，8）vs. 6（5，7）days， P=0.028］，higher rates of pathologic Gleason score ≥8［41.5%（115/277）vs. 24.9%（111/446）， P<0.01］，ISUP grade 4-5［41.5%（115/277）vs. 24.9%（111/446）， P<0.01］，pT 3 stage［52.3%（171/327）vs. 17.4%（95/547）， P<0.01］，pN 1 stage［12.8%（42/327）vs. 3.8%（21/547）， P<0.01］，extracapsular extension［52.3%（171/327）vs. 17.4%（95/547）， P<0.01］，and seminal vesicle invasion［34.6%（113/327）vs. 9.1%（50/547）， P<0.01］.Multivariate analysis identified elevated tPSA（ OR=1.014，95% CI 1.004—1.024，P=0.006）and PSAD ≥0.15 ng/（ml/g）（ OR=11.638，95% CI 1.450—93.396，P=0.021）as independent risk factors for PSM. The area under the ROC curve（AUC）of the nomogram constructed based on the above variables was 0.770（95% CI 0.735—0.805）. The AUC values for the internal and external validation sets were 0.698（95% CI 0.630—0.767）and 0.643（95% CI 0.513—0.774），respectively. The calibration curve demonstrated good agreement between the predicted and observed outcomes，and the DCA indicated that the predictive model has potential clinical utility in decision-making. Conclusion:tPSA and PSAD were identified as independent risk factors for PSM. The nomogram constructed based on these two independent predictive variables effectively predicted PSM after RARP.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Myelodysplastic syndrome (MDS), a myeloid tumor derived from the malignant clones of hematopoietic stem cells, has an annually increasing incidence. The contemporary research direction has shifted to analyzing the synergistic effect of immune surveillance collapse and abnormal bone marrow microenvironment in the pathological process of MDS. Against this backdrop, the immune checkpoint molecule TIM3 has emerged as a key target because of its persistently high expression on the surface of important immune cells such as T and NK cells. The abnormal activation of the TIM3 pathway is the mechanism by which solid tumors and hematological malignancies achieve immune escape and is a key hub in the formation of immune exhaustion phenotypes. This work integrates the original discoveries of our team with the latest international progress, systematically demonstrating the bidirectional regulatory network of TIM3 between the malignant clone proliferation of MDS and the immunosuppressive microenvironment. Integrating the evidence from emerging clinical trials allows us to consider the clinical significance of TIM3-targeted blocking for MDS, providing a transformative path to overcome the resistance of traditional treatments and marking a new chapter in the active immune reconstitution of MDS treatment.

Objective: To explore the influencing factors for implementation of weight management services in primary medical and healthcare institutions, so as to provide references for implementing sustainable services of weight management. Methods: From May to June 2025, Pinghu City, Zhejiang Province was selected as the survey site. Personnel responsible for weight management in primary medical and healthcare institutions were selected as the survey subjects using a combined method of purposive sampling and snowball sampling. Based on the five core domains of the consolidated framework for implementation research (CFIR), a semi-structured interview outline for weight management services in primary medical and healthcare institutions was designed. Original data was collected through face-to-face semi-structured interviews. Interview data was organized and analyzed using framework analysis. Factors affecting weight management services were quantitatively analyzed by referencing CFIR's structural rating criteria. Results: A total of 21 participants completed interviews, covering positions in nutrition, endocrinology, traditional Chinese medicine, general practice, maternal health, and public health. There were 9 males and 12 females. Fifteen participants (71.43%) were aged 35 years and above, 18 (85.71%) held a bachelor's degree or higher, and 15 (71.43%) were frontline medical staff. Fifteen factors affecting weight management services were identified across five domains: innovation, outer setting, inner setting, individuals, and implementation process. Six barrier factors were identified: difficulties in policy implementation, time-consuming interventions, limited incentive measures, lack of professional skills, unclear weight-loss plans and goal setting, and imperfect follow-up and evaluation mechanisms. Three neutral factors were identified: the development and refinement of policies and regulations, the implementation of weight management training, and the optimization of the referral process within integrated healthcare systems (medical alliances / communities). Six facilitating factors were identified: the relatively significant advantages of lifestyle interventions, collaboration and coordination across multiple departments, cooperative communication among different units within the institution, the inherent convenience of primary care settings, a strong sense of professional responsibility, and the establishment of multidisciplinary teams. Conclusions The delivery of weight management services in primary medical and healthcare institutions is influenced by a wide array of factors across multiple domains. It requires policy support, multi-department coordination, a practice-oriented training system, optimized team resource allocation, incentives, and improved professional skills of medical staff to jointly promote long-term implementation.

Following the core outcome set standards for development(COS-STAD), this study aims to construct core outcome set(COS) for clinical research on traditional Chinese medicine(TCM) treatment of simple obesity. Firstly, a comprehensive review was conducted on the randomized controlled trial(RCT) and systematic review(SR) about TCM treatment of simple obesity that were published in Chinese and English databases to collect reported outcomes. Additional outcomes were obtained through semi-structured interviews with patients and open-ended questionnaire surveys for clinicians. All the collected outcomes were then merged and organized as an initial outcome pool, and then a preliminary list of outcomes was formed after discussion by the working group. Subsequently, two rounds of Delphi surveys were conducted with clinicians, methodology experts, and patients to score the importance of outcomes in the list. Finally, a consensus meeting was held to establish the COS for clinical research on TCM treatment of simple obesity. A total of 221 RCTs and 12 SRs were included, and after integration of supplementary outcomes, an initial outcome pool of 141 outcomes were formed. Following discussions in the steering advisory group meeting, a preliminary list of 33 outcomes was finalized, encompassing 9 domains. Through two rounds of Delphi surveys and a consensus meeting, the final COS for clinical research on TCM treatment of simple obesity was determined to include 8 outcomes: TCM symptom scores, body mass index(BMI), waist-hip ratio, waist circumference, visceral fat index, body fat rate, quality of life, and safety, which were classified into 4 domains: TCM-related outcomes, anthropometric measurements, quality of life, and safety. This study has preliminarily established a COS for clinical research on TCM treatment of simple obesity. It helps reduce the heterogeneity in the selection and reporting of outcomes in similar clinical studies, thereby improving the comparability of research results and the feasibility of meta-analysis and providing higher-level evidence support for clinical practice.
Humans ; Obesity/therapy* ; Medicine, Chinese Traditional ; Randomized Controlled Trials as Topic ; Treatment Outcome ; Drugs, Chinese Herbal/therapeutic use*

PURPOSE: To analyze risk factors for severe trauma and establish a nomogram for early risk prediction, to improve the early identification of severe trauma. METHODS: This study was conducted on the patients treated in 81 trauma treatment institutions in Gansu province from 2020 to 2022. Patients were grouped by year, with 5364 patients from 2020 to 2021 as the training set and 1094 newly admitted patients in 2020 as the external validation set. Based on the injury severity score (ISS), patients in the training set were classified into 2 subgroups of the severe trauma group (n = 478, ISS scores ≥25) and the non-severe trauma group (n = 4886, ISS scores <25). Univariate and binary logistic regression analyses were employed to identify independent risk factors for severe trauma. Subsequently, a predictive model was developed using the R software environment. Furthermore, the model was subjected to internal and external validation via the Hosmer-Lemeshow test and receiver operating characteristic curve analysis. RESULTS: In total, 6458 trauma patients were included in this study. Initially, this study identified several independent risk factors for severe trauma, including multiple traumatic injuries (polytrauma), external hemorrhage, elevated shock index, elevated respiratory rate, decreased peripheral oxygen saturation, and decreased Glasgow coma scale score (all p < 0.05). For internal validation, the area under the receiver operating characteristic curve was 0.914, with the sensitivity and specificity of 88.4% and 87.6%, respectively; while for external validation, the area under the receiver operating characteristic curve was 0.936, with the sensitivity and specificity of 84.6% and 93.7%, respectively. In addition, a good model fitting was observed through the Hosmer-Lemeshow test and calibration curve analysis (p > 0.05). CONCLUSION This study establishes a nomogram for early risk prediction of severe trauma, which is suitable for primary healthcare institutions in underdeveloped western China. It facilitates early triage and quantitative assessment of trauma severity by clinicians prior to clinical interventions.
Humans ; Nomograms ; Male ; Female ; Wounds and Injuries/diagnosis* ; Risk Factors ; Middle Aged ; Adult ; Injury Severity Score ; Risk Assessment ; ROC Curve ; Aged ; Logistic Models ; China ; Glasgow Coma Scale