Objective To explore factors associated with early postoperative hormonal remission in patients with prolactinoma and to develop prediction models based on clinical and radiological features. Methods Data from 107 patients with prolactinoma who underwent transsphenoidal surgery at The First People’s Hospital of Huai’an, Nanjing Medical University between January 2020 and December 2024 was collected, included general clinical characteristics, preoperative laboratory indicators, and imaging features. Based on whether early postoperative prolactin (PRL) levels normalized, patients were divided into a remission group (n=76) and a non-remission group (n=31). Univariate logistic regression was used for preliminary evaluation of candidate variables, followed by LASSO regression for feature selection. Multiple machine learning models were constructed, including logistic regression, random forest, support vector machine, K-nearest neighbors, naive Bayes, decision tree, neural network, and gradient boosting decision tree (GBDT). All models were trained and evaluated using ten-fold cross-validation, with comprehensive assessment of model performance based on the area under the ROC curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. Results The maximum diameter of tumors in the non remission group was larger than that in the remission group (P=0.019), and the incidence of tumor stroke and preoperative PRL levels were significantly higher than those in the remission group (P＜0.001). Univariate analysis showed that sex, maximum tumor diameter, tumor stroke, and preoperative PRL levels were influencing factors for early postoperative hormone response in patients with prolactinoma (P＜0.05). The comparison results of machine learning models show that the neural network model performs the best (AUC=0.921) and has good clinical application value, followed by the GBDT model (AUC=0.893) and the support vector machine model (AUC=0.884). Other models also show certain predictive ability. Conclusions Sex, preoperative PRL levels, maximum tumor diameter, Hounsfield unit value, and tumor stroke are important factors affecting early hormone response after prolactinoma surgery. The machine learning model constructed based on the above variables has good predictive performance, and performs the best and has good clinical application value.

Objective To investigate the current status of sleep disorders in patients with Alzheimer’s disease (AD) and its relationship with physical activity, and analyze the intervention effect of light therapy. Methods A total of 345 patients with AD admitted to the First Affiliated Hospital of Air Force Medical University from June 2020 to June 2025 were included. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep disorders, and the Physical Activity Scale for the Elderly (PASE) was applied to evaluate the physical activity. Pearson correlation analysis model was adopted to analyze the correlation between PSQI and PASE in patients with AD. 345 patients with AD were treated with light therapy intervention for 4 weeks. The changes of PSQI and PASE scores were compared before and after intervention. Results Among the 345 patients with AD, 251 cases had sleep disorders, accounting for 72.75% (251/345), and the PSQI score was (9.87±2.95) points. The scores of leisure activity, housework and occupation-related activity of PASE were (25.81±6.12) points, (78.15±12.93) points, and (45.31±8.74) points, respectively. Pearson correlation analysis model revealed that the leisure activity score of PASE was negatively correlated with the PSQI score (P<0.05), and the scores of housework and occupation-related activity were not significantly correlated with the PSQI score (P>0.05). After 4 weeks of light therapy intervention, the score of leisure activity of patients was increased significantly (P<0.05), while the scores of housework and occupation-related activity did not change significantly (P>0.05), and the PSQI scores were decreased significantly (P<0.05). Conclusion There is a correlation between sleep disorders and leisure time and physical activity in patients with Alzheimer's disease. The implementation of light therapy intervention can effectively improve sleep disorders in AD patients.

OBJECTIVE To investigate the clinical efficacy of integrating pharmacists into family health teams （FHTs） for long-term medication therapeutical management （MTM） in stroke patients， and empirically evaluate the service model. METHODS A pharmacist team， jointly established by clinical and community pharmacists from the Affiliated Suzhou Hospital of Nanjing Medical University （hereinafter referred to as “our hospital”）， developed a pharmacist-supported MTM model integrated into FHTs. Using a prospective randomized controlled design， 170 stroke patients discharged from our hospital （July 2022-December 2023） and enrolled in FHTs at Suzhou Runda Community Hospital were randomly divided into trial group （88 cases） and control group （82 cases） according to random number table. The control group received routine FHTs care （without pharmacist involvement in the team collaboration）， while the trial group xhz8405@126.com received 12-month MTM services supported by pharmacists via an information platform. These services specifically included innovative interventions such as personalized medication regimen optimization based on the MTM framework， dynamic medication adherence management， medication safety monitoring， a home medication assessment system， and distinctive service offerings. Outcomes of the 2 grousp were compared before and after intervention， involving medication adherence （adherence rate， adherence score）， compliance rates for stroke recurrence risk factors [blood pressure， low-density lipoprotein cholesterol （LDL-C）]， and incidence of adverse drug reactions （ADR）. RESULTS After 12 months， the trial group exhibited significantly higher medication adherence rates， improved adherence scores， higher compliance rates for blood pressure and LDL-C targets compared to the control group （P＜0.05）. The incidence of ADR in the trial group （4.55%） was significantly lower than that in the control group （8.11%）， though the difference was not statistically significant （P＞ 0.05）. CONCLUSIONS Pharmacist involvement in FHTs to deliver MTM services significantly enhances medication adherence and optimizes risk factor for stroke recurrence， offering practical evidence for advancing pharmaceutical care in chronic disease management under the family doctor system.

BACKGROUND: The incidence and mortality rates of lung cancer remain on the rise, creating an urgent need for screening among high-risk populations and early prevention. This study aims to explore the association and interaction between multidimensional lifestyle, socioeconomic status, and the incidence of lung cancer, and to provide scientific evidence for screening high-risk populations and preventing lung cancer. METHODS: Healthy lifestyle score was constructed using information on smoking, alcohol consumption, exercise, diet and sleep obtained through a questionnaire survey. Socioeconomic status was evaluated based on information on education, employment, and family income, and genetic testing data were used to assess the risk of genetic variation. A proportional hazards assumption test was conducted, and the Cox proportional hazards model was applied to analyze the associations between healthy lifestyle scores, socioeconomic status, and lung cancer, as well as the interactions among various factors, after adjusting for the risk of genetic variation, age, gender, diabetes, hypertension and the living environment score. RESULTS: A total of 245,538 samples that entered the cohort from March, 2006 to October, 2010 were included and followed up until December 31, 2022. The participants were divided into the case group (n=1472) and the control group (n=244,066). The analysis results showed that after adjusting for covariates, there was still an association between the healthy lifestyle score, socioeconomic status, and the incidence of lung cancer: compared with participants with a high healthy lifestyle score, the risk of lung cancer in participants with medium and low healthy lifestyle scores was significantly increased, with hazard ratios (HR) of 2.12 (95%CI: 1.86-2.41) and 3.36 (95%CI: 2.82-3.99) respectively; compared with participants with high socioeconomic status, the risk of lung cancer in participants with medium and low socioeconomic status was significantly increased, with HR of 1.29 (95%CI: 1.13-1.48) and 1.67 (95%CI: 1.46-1.90) respectively. Moreover, there were interactions between smoking status and socioeconomic status (Pfor interaction=0.05), as well as the other four lifestyle factors (Pfor interaction=0.02). CONCLUSIONS This study identified the association between multidimensional lifestyle factors and socioeconomic status with the incidence of lung cancer, as well as interactions between smoking and socioeconomic status and four other lifestyle factors, providing a scientific basis for screening and prevention in high-risk populations for lung cancer.
Humans ; Lung Neoplasms/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Life Style ; Social Class ; Aged ; Adult ; Risk Factors

Pulmonary sarcoidosis is an immune system disease with an unclear etiology. Guided by the yang-reinforcing method， it is believed that the fundamental pathogenesis of pulmonary sarcoidosis lies in the disharmony between water and fire and the reckless movement of the ministerial fire. The failure of the spleen and stomach to maintain warmth， leading to the production of phlegm and blood stasis， is an important pathogenesis. The invasion of external pathogenic toxins， deeply penetrating into the interior， is considered a triggering factor for the disease. The treatment focuses on supplementing the yang， consolidating the kidney， drawing fire back to its source， warming the yang， benefiting the kidney， and nourishing the spleen to generate metal. It also emphasizes unblocking the yang， transforming turbidity， and eliminating phlegm and blood stasis.

TCM believes that the main pathogenesis of gastrointestinal dysfunction (GD) after laparoscopic cholecystectomy (LC) is spleen and stomach weakness, liver and stomach disharmony, liver depression and spleen deficiency, and intestinal depression. Moxibustion in the treatment of GD after LC can avoid the aggravation of gastrointestinal burden caused by oral drugs. The intervention methods mainly include suspension moxibustion, umbilical moxibustion, heat sensitive moxibustion, thunder fire moxibustion, warm acupuncture, partition moxibustion, etc. Moxibustion is often performed on the acupoints in liver meridian, spleen meridian, stomach meridian, small intestine meridian, large intestine meridian and Conception Vessel, such as Taichong (LR3), Ganshu (BL18), Yinlingquan (SP9), Zusanli (ST36), Tianshu (ST25), Wangu (SI4), Hegu (LI4), Zhongwan (CV12), Shenque (CV8) and Qihai (CV6). At present, most studies combined with moxibustion on the basis of conventional Western medicine treatment can significantly improve the efficacy, and have certain advantages in improving gastrointestinal motility decline, intestinal flora imbalance, first exhaust time, gastrointestinal hormone level disorder and intestinal mucosal barrier dysfunction. However, there are still some problems in the existing research: small sample size of clinical research, not perfect scoring scale, not unified treatment plan and operation standard, relatively scarce basic research, relatively simple acupoint research, lack of biochemical evaluation indicators, and the research of national moxibustion needs to be explored and improved in the future.

In order to cultivate high-level medical talents, introducing information technology into medical teaching, the teaching faculty of the "Medical Functional Experiment" course constructed and explored an online-offline hybrid experimental problem-based learning (PBL) model guided by hypoxia pathophysiology problems. We explore the teaching method, implementation process, assessment, and effect evaluation of the experimental PBL model from the aspects of teaching objects, online teaching platform setting, and offline application, and also discuss its academic innovation points and application value. We hope to provide ideas for integrating the PBL concept into experimental teaching and help cultivate excellent innovative medical talents.

[Purpose]To analyze cancer incidence and mortality in Liaoning cancer registration areas from 2016 to 2020 and the trends from 2006 to 2020.[Methods]Cancer data in cancer registra-tion areas in Liaoning Province from 2016 to 2020 were collected.The incidence and mortality,age-standardized rate,cumulative rate(0～74 years old),and age-specific rate were calculated.Age-standardized incidence and mortality rate were calculated by the Chinese standard popula-tion(ASIRC,ASMRC)and Segi world standard population(ASIRW,ASMRW).Joinpoint software was applied to analyze the trends of incidence and mortality.[Results]From 2016 to 2020,the crude incidence rate of cancer in Liaoning cancer registration areas was 422.30/105,the ASIRC and ASIRW were 215.67/105 and 209.52/105.The ASIRC was higher in urban areas(225.00/105)than that in rural areas(190.15/105),and higher in male(221.47/105)than that in female(213.03/105).The crude mortality rate was 254.22/105,the ASMRC and ASMRW were 113.26/105 and 112.91/105.The ASMRC in urban areas(113.12/105)was the same as that in rural areas(113.01/105),and higher in male(146.86/105)than that in female(83.46/105).The ASIRW of lung cancer was 46.13/105,and the ASMRW was 32.04/105,both ranking the first of all cancers.From 2006 to 2020,the crude incidence,ASIRC and ASIRW in urban areas showed an increasing trend(AAPC=3.921％,t=16.222,P＜0.05;AAPC=0.823％,t=2.409,P＜0.05;AAPC=0.875％,t=2.933,P＜0.05).The crude incidence,ASIRC and ASIRW in urban female were all rising(AAPC=4.151％,t=15.888,P＜0.05;AAPC=1.597％,t=4.819,P＜0.05;AAPC=1.514％,t=4.752,P＜0.05).During the same period,the cancer mortality in urban areas showed an increasing trend(AAPC=3.175％,t=14.745,P＜0.05),and the ASMRW showed a decreasing trend(AAPC=-0.908％,t=-2.273,P＜0.05).The crude mor-tality of both men and women showed an increasing trend(AAPC=3.010％,t=6.032,P＜0.05;AAPC=2.820％,t=5.921,P＜0.05),while the crude mortality and ASMRW for female showed a significant downward trend(AAPC=-1.487％,t=-2.437,P＜0.05;AAPC=-2.680％,t=-2.246,P＜0.05).From 2016 to 2020,the crude incidence,ASIRC and ASIRW in rural areas showed no significant change;however,the crude incidence in male was increasing(AAPC=2.025％,t=3.853,P＜0.05).In the same period,the crude mortality rate in rural areas increased(AAPC=3.577％,t=9.377,P＜0.05),while there was no significant change in the ASMRC and ASMRW.The crude mortality of both men and women showed an increasing trend(AAPC=3.377％,t=10.615,P＜0.05;AAPC=3.978％,t=7.245,P＜0.05),while there was no significant change in ASMRC and ASMRW.[Conclusion]The cancer burden in Liaoning from 2016 to 2020 was higher than the average level in China,can-cer prevention and control should be further strengthened in the provice.