Objective: To explore the diagnosis, treatment and prognosis of primary prostatic signet ring cell carcinoma (SRCC), so as to provide reference for the clinical diagnosis and treatment. Methods: A retrospective analysis was conducted on the clinical data of 6 patients with primary prostatic SRCC treated in Nanjing Drum Tower Hospital during Nov.2020 and Sep.2024.The clinical manifestations, imaging features, treatment methods, histological characteristics and prognosis were summarized. Results: The average age of the patients was (72.00±4.28) years.Varying degrees of dysuria occurred in 4 patients. All patients underwent multi-parametric magnetic resonance imaging (mpMRI) examination before surgery, and the results indicated typical prostate cancer.Preoperative biopsies showed high-grade (Gleason 8-10) prostate acinar adenocarcinoma.Postoperative pathological diagnoses were mixed types of prostate acinar adenocarcinoma and SRCC, and no metastasis was found in the pelvic lymph nodes.All patients were followed up for 1 to 46 months after surgery and are currently alive.Robot-assisted laparoscopic radical prostatectomy only was performed in 3 cases; apalutamide and leuprolide/triptorelin was administered after surgery in 2 cases; bicalutamide + goserelin was administered after surgery in 1 case, who developed bladder metastasis of prostate cancer 24 months later, and the serum prostate-specific antigen (PSA) concentration decreased to a safe level (<0.2 ng/mL) after the use of darolutamide with radiotherapy.No recurrence or metastasis was found in the remaining patients. Conclusion: Primary prostatic SRCC is a rare and highly aggressive malignant tumor of the prostate.The diagnosis depends on pathological examinations due to lack of specific imaging features and clinical manifestations.The prognosis is poor, and there is currently no standardized treatment.The combined use of surgery, hormonotherapy and radiotherapy can help improve the survival rate of patients.

Background::Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine learning (ML) plays a critical role in characterizing cardiovascular risks, predicting outcomes, and identifying biomarkers. This work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment models.Methods::This is a single-center retrospective study. Patients with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets. A total of 8 ML models, including random forest (RF), Na?ve Bayes, decision tree, K-nearest neighbors, logistic regression, multi-layer perceptron, support vector machine, and gradient boosting decision tree were developed based on the training set to diagnose APE. Thereafter, the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies, including the Wells score, revised Geneva score, and Years algorithm. Eventually, the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic (ROC) analysis.Results::The ML models were constructed using eight clinical features, including D-dimer, cardiac troponin T (cTNT), arterial oxygen saturation, heart rate, chest pain, lower limb pain, hemoptysis, and chronic heart failure. Among eight ML models, the RF model achieved the best performance with the highest area under the curve (AUC) (AUC = 0.774). Compared to the current clinical assessment strategies, the RF model outperformed the Wells score ( P = 0.030) and was not inferior to any other clinical probability assessment strategy. The AUC of the RF model for diagnosing APE onset in internal validation set was 0.726. Conclusions::Based on RF algorithm, a novel prediction model was finally constructed for APE diagnosis. When compared to the current clinical assessment strategies, the RF model achieved better diagnostic efficacy and accuracy. Therefore, the ML algorithm can be a useful tool in assisting with the diagnosis of APE.

Objectives:To investigate the association between social determinants of health(SDOH)and incident stroke and analyze the main risk factors for stroke among resident with different SDOH levels. Methods:From 2012 to 2015,30 036 residents(≥35 years old)from 30 districts in 14 provincial-level administrative divisions in China were enrolled this study based on stratified multi-stage-random-sampling method.The prevalence of cardiovascular diseases and related risk factors were investigated,and stroke events were followed up in 2018 to 2019.Principal component analysis was performed to establish SDOH scores based on 9 indicators related to socioeconomic and healthcare resources,participants were divided into low SDOH group(n=8 343)when it was≥-2.01 to<-1.14,middle SDOH group(n=7 257)when it was≥-1.14 to<0.10,and high SDOH group(n=8 457)when it was≥0.10 to≤5.79.Multivariate Cox regression was applied to estimate the association of SDOH levels with incident stroke.The random survival forest method was used to analyze the major risk factors in different SDOH levels. Results:A total of 24 057 participants were finally included,669(2.8%)participants developed stroke during a mean of(4.7±0.8)years follow-up.The incidence densities of stroke in the low,medium,and high SDOH groups were 468.39,628.85,and 700.39/100 000 person-years,respectively(Pdifference<0.05,Ptrend=0.01).Compared with individuals with low SDOH level group,fully HR for incident stroke among those with medium and high were 1.91(95%CI:1.54-2.36)and 1.59(95%CI:1.30-1.95),respectively(Ptrend<0.001).Advanced age is the primary risk factor for stroke in the population,especially in districts with high SDOH level.In districts with medium SDOH level,diabetes is an important risk factor for stroke.High blood pressure and alcohol consumption are important modifiable risk factors in low SDOH level districts. Conclusions:Present study shows that higher levels of SDOH are associated with increased risk of stroke.The main risk factors for stroke differ among participants with different SDOH level districts.Targeted interventions should be implemented to improve the prevention and treatment of stroke in populations with different levels of SDOH.

Objective:To describe the detail sampling design,weighting,instruments,filed procedures and quality control methods of the epidemiological survey on dementia among community residents in Tongliao City.Methods:A three-stage disproportionate probability sampling design was used to investigate the inhabitants aged 65 years and over in Tongliao City,Inner Mongolia Autonomous Region.The 10/66 Dementia Research Group(10/66 DRG)assessment instruments were used to diagnose dementia,using computer-assisted personal interview mode in the selected older people.Comprehensive quality control methods were implemented throughout the field-work.Results:A total of 166 villages or communities were sampled from nine counties or districts in Tongliao Cit-y.Totally 4 345 older people were interviewed with 96.2％response rate.By calculating sampling design weights,non-response adjustment weights and post-stratification adjustment weights,these weights were multiplied and per-formed trimming adjustment and standardization adjustment to generate final weights.The 171 interviewers were well-trained and qualified to carry out filed interview.Quality control methods included computer data check,audio record check,and telephone check in order to ensure the quality of the survey.Conclusion:This survey is imple-mented using a rigorous sampling design and timely quality control methods,and uses the 10/66 DRG assessment instruments with satisfactory international validity and reliability as survey instruments,which has international cross-cultural comparability.It provides a valid and feasible methodology of epidemiological survey on dementia for further studies in different regions in China.

Objective:To estimate the costs of dementia from a societal perspective in Tongliao City and ex-plore the influencing factors of these costs.Methods:Dementia was diagnosed using the 10/66 Dementia Research Group assessment instruments.Data on healthcare utilization,caregiver's care time or costs,and the distress due to caregiving were collected.The cost-proportion conversion method was used to estimate the per capita cost of health services based on data from the National Statistical Yearbook.The human capital approach was used to estimate the unit value of informal care time,and the willingness-to-pay method was used to measure the intangible costs of car-egivers.The total societal costs of dementia were calculated based on the reference year 2023,and a two-part model was employed to analyze the factors influencing the societal costs.Results:A total of 390 dementia patients were di-agnosed,with an average societal cost per capita of 117 877 Yuan.The largest cost component was informal care provided by unpaid family members,accounting for 73.1％of the total societal cost.The societal costs for female patients were 61 395 Yuan higher than those for male patients.Patients with comorbid stroke had a higher societal cost of 63 008 Yuan compared to patients without stroke,and each additional chronic disease added 5 868 Yuan to societal costs.Additionally,each non-memory dimension impairment in the Clinical Dementia Rating Scale in-creased the societal costs by 53 997 Yuan.Conclusion:Dementia poses a significant socio-economic burden,with informal care being the major component of this burden.

Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF). Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis. Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023–0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97–43.22; p < 0.01). Conclusion CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.

Objective:To explore the application value and treatment effects of multiple free anterolateral perforator flaps of calf for reconstruction of multiple digital wounds in single hand.Methods:From August 2020 to March 2022, 12 patients with soft tissue defects in 35 digits were treated in Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital. Ten patients were male and 2 were female, aged 25 to 58 years old. Of the patients, 1 had soft tissue defects in 5 digits, 3 in 4 digits, 2 in 3 digits and 6 in 2 digits. The size of defects was from 1.2 cm ×1.2 cm to 7.0 cm×3.5 cm after debridement. The vascular perforators discovered from intraoperative explorations were found originating from the superficial peroneal artery in 24 flaps, from the peroneal artery in 7 flaps and from the anterior tibial artery in 4 flaps. During surgery, the perforator artery and accompanying veins of the flaps were anastomosed with the proper digital artery and palmar or dorsal subcutaneous veins in the recipient site, respectively. The size of the flaps was from 1.5 cm×1.5 cm to 7.5 cm×4.0 cm. No nerve was affected in the surgery. The wound at donor sites in the calf was sutured directly. Regular postoperative follow-ups were conducted at outpatient clinics. The comprehensive evaluation scale of flap was used to assess the conditions of the donor and recipient sites.Results:In this study, all 35 soft tissue defects of digits in 12 patients were reconstructed by the anterolateral perforator flaps of calf. All the 35 flaps survived after surgery, with a 100% of survival rate. The patients were instructed to carry out early functional training after surgery. Follow-up lasted 6 to 24 months, with an average of 11 months. Twenty-five flaps were found in slightly swollen, and further flap thinning surgery were carried out 3 months after the primary surgery, while the rest of the flaps had good appearance and texture. At 6 months after surgery, all flaps recovered a partial deep and shallow sensory and sense of touch. All wound at donor sites in calf had one-stage healing without dysfunction. The comprehensive evaluation scale was excellent in 28 flaps and good in 7 flaps. The excellent and good rate was 100%.Conclusion:It is an effective method to use multiple free anterolateral perforator flaps of calf to reconstruct multiple digit defects in single hand. The flaps can be conveniently harvested and the multiple digital defects in single hand can be reconstructed in primary surgery with small damages to the donor sites and together with satisfactory clinical outcomes.

SWOT-PEST model was used to analyze the internal advantages and disadvantages,external,opportunities and challenges of tertiary public pediatric hospitals.Based on stakeholder theory,through the literature review method,policy analysis method,combined with the actual work,and summarize its main role and demands.Put forward the development strategy of three-level public pediatric specialty hospital.Through the analysis of interest demands of stakeholders of tertiary public pediat-ric specialty hospitals,the overall development is good at present,but there are still problems that need to be solved urgently.From the perspective of internal and external stakeholders,the optimization strategy involving multiple levels,multiple angles and multiple subjects is proposed to promote the comprehensive development of tertiary public pediatric specialty hospitals.

Osteoarthritis(OA)is the most common degenerative disease in clinical practice.Joint pain is the main manifestation of OA,and in severe cases,it can lead to joint deformity.The main pathological changes include destruction of articular cartilage,synovitis,thickening of subchondral bone,bone redundancy,degeneration of articular ligaments,and enlargement of articular periosteum.Clinicopathological changes and pain degrees in OA patients vary from person to person,and treatment options vary from person to person.Clinically,non-steroidal anti-inflammatory drugs are used to treat the pain of OA patients now,but the effect is not ideal,and long-term use of these drugs will bring obvious toxic and side effects.Traditional Chinese medicine obtains good results in relieving the pain of OA patients.Therefore,this paper reviews the research on traditional Chinese medicine treatment and pain mechanisms of OA,with a view to providing ideas and references for clinical relief of pain in OA patients.

Objective: To investigate the ability of radiological parameter canal bone ratio (CBR) to assess bone mineral density and to differentiate between patients with primary and multiple osteoporotic vertebral compression fracture (OVCF). Methods: A retrospective analysis was conducted on OVCF patients treated at our hospital. CBR was measured through full-spine x-rays. Patients were categorized into primary and multiple fracture groups. Receiver operating characteristic curve analysis and area under the curve (AUC) calculation were used to assess the ability of parameters to predict osteoporosis and multiple fractures. Predictors of T values were analyzed by multiple linear regression, and independent risk factors for multiple fractures were determined by multiple logistic regression analysis. Results: CBR showed a moderate negative correlation with dual-energy x-ray absorptiometry T values (r = -0.642, p < 0.01). Higher CBR (odds ratio [OR], -6.483; 95% confidence interval [CI], -8.234 to -4.732; p < 0.01) and lower body mass index (OR, 0.054; 95% CI, 0.023–0.086; p < 0.01) were independent risk factors for osteoporosis. Patients with multiple fractures had lower T values (mean ± standard deviation [SD]: -3.76 ± 0.73 vs. -2.83 ± 0.75, p < 0.01) and higher CBR (mean ± SD: 0.54 ± 0.07 vs. 0.46 ± 0.06, p < 0.01). CBR had an AUC of 0.819 in predicting multiple fractures with a threshold of 0.53. T values prediction had an AUC of 0.816 with a threshold of -3.45. CBR > 0.53 was an independent risk factor for multiple fractures (OR, 14.66; 95% CI, 4.97–43.22; p < 0.01). Conclusion CBR is negatively correlated with bone mineral density (BMD) and can be a novel opportunistic BMD assessment method. It is a simple and effective measurement index for predicting multiple fractures, with predictive performance not inferior to T values.