OBJECTIVE To systematically review medication-related risk factors for falls in older adults， to provide references for ensuring medication safety among older adults. METHODS A systematic search was conducted in PubMed， Embase， Web of Science， and CNKI for relevant literature published from database inception to November 1， 2025. Relevant studies on medication-related falls in older adults， both domestic and international， were included. Drug factors influencing falls in older adults were summarized and analyzed. RESULTS A total of 22 studies were included. Four major classes of fall-risk-increasing drugs were identified： psychotropic medications [12 studies， odds ratio （OR） range 1.500-5.790]， cardiovascular system drugs （5 studies， OR range 1.236-4.784）， analgesics （3 studies， OR range 1.500-4.490）， and hypoglycemic agents （3 studies， OR range 2.070-2.751）. Additionally， anticholinergic burden （1 study， OR was 2.610） and polypharmacy （7 studies， OR range 2.902-25.897 for the use of ≥4 medications） were identified as significant risk factors for falls. CONCLUSIONS Falls in older adults are significantly associated with psychotropic medications， cardiovascular system drugs， analgesics， and hypoglycemic agents， among which psychotropic medications pose the highest risk. Anticholinergic burden and polypharmacy are also important risk factors. In clinical practice， interventions should be implemented through deprescribing and risk monitoring to effectively reduce the risk of falls in older adults.

Objective To explore the number of peripheral blood regulatory T cells (Treg) in patients with chronic kidney disease (CKD) and its correlation with vascular calcification. Methods This was a single-center, cross-sectional, and observational study. Non-dialysis patients with CKD treated at Zhongshan Hospital, Fudan University from March 2021 to March 2022 were enrolled. Abdominal aortic calcification (AAC) was assessed using lateral abdominal X-ray. Number of Treg and cytokine levels were measured by flow cytometry. Logistic regression analysis was performed to evaluate the related factors for AAC in CKD patients. Results A total of 83 patients were included, aged 17–86 years, with 57 males (68.7%). The distribution of CKD stages was as follows: stage G1 in 7 patients (8.4%), stage G2 in 17 patients (20.5%), stage G3 in 21 patients (25.3%), stage G4 in 19 patients (22.9%), and stage G5 in 19 patients (22.9%). No AAC was observed in patients with stages G1 and G2, while the prevalence of AAC in patients with stages G3, G4, and G5 was 23.8%, 21.1%, and 26.3%, respectively. Compared with stage G1 patients, those with stages G3–5 showed decreased number of peripheral blood Treg and elevated levels of interleukin (IL)-6 and IL-17F (P＜0.05). The area under the receiver operating characteristic curve for number of peripheral blood Treg in predicting AAC in CKD patients was 0.766 (95%CI 0.652–0.879, P＝0.002). Logistic regression analysis showed that decreased number of Treg was related factor for AAC in CKD patients (OR＝0.957, 95%CI 0.922–0.992, P＝0.018). Conclusion As CKD progresses, number of peripheral blood Treg significantly decreases, which is correlated with AAC in CKD patients.

OBJECTIVE To analyze trends in the burden of disease associated with falls from 1990 to 2023， identify risk factors for falls， and provide a reference for the development of measures to reduce the burden of disease associated with falls and the formulation of public health policies. METHODS Based on the data of 2023 from the Global Burden of Disease （GBD） database， the changes in fall-related prevalence， mortality， disability-adjusted life years （DALYs） and incidence in China and globally from 1990 to 2023 were analyzed， and the stratified analyses by gender， age and socio-demographic index （SDI） were conducted. The risk factors related to falls in 2023 were systematically analyzed， and the impact of multimorbidity and polypharmacy on the occurrence of falls by combining relevant literature evidence was explored. RESULTS & CONCLUSIONS Globally， the percentage changes in age-standardized rates of fall-related prevalence， mortality， DALYs and incidence from 1990 to 2023 were －2.4% （95%UI： －4.8% to －0.3%）， －7.8% （95%UI： －20.5% to 10.9%）， －10.6% （95%UI： －16.5% to －4.3%）， and －4.6% （95%UI： －8.1% to －0.8%）， respectively. However， in some regions， the percentage changes in age-standardized rates for these indicators were greater than 0 （e.g.， prevalence， mortality and DALYs in Australasia， and incidence in Andean Latin America）. In China， the percentage changes in age-standardized rates of fall-related mortality and DALYs from 1990 to 2023 were －18.3% （95%UI： －56.7% to 32.3%） and 1.9% （95%UI： －10.1% to 12.4%）， while the percentage changes in age-standardized rates of prevalence and incidence were 25.9% （95%UI： 20.2% to 32.0%） and 35.7% （95%UI： 28.5% to 44.1%）， respectively. Globally， in regions with high and medium-to-high SDI levels， the percentage changes in age-standardized rates of fall-related prevalence and incidence showed an upward trend， while DALYs showed a downward trend； however， the trend in mortality was unclear. In regions with a middle SDI level， the percentage changes in age-standardized rates of fall-related prevalence and incidence both showed an upward trend， while the trends in mortality and DALYs were unclear. In regions with low-to-medium SDI level， the percentage changes in age-standardized rate of fall-related prevalence， DALYs and incidence all showed a downward trend， while the trend in mortality was unclear； in regions with low SDI level， the trends for all above indicators were unclear. Correlation analyses of the burden of fall-related diseases in China and globally indicated that the risk of fall-related diseases was higher among younger and middle-to-older adult male populations， while women were concentrated in older age groups. Meanwhile， as the SDI levels increase， the percentage change in age-standardized rate of DALYs for fall-related diseases showed a clear upward trend， and this trend was more pronounced in high-SDI regions. Tobacco use， alcohol consumption， low bone density， and occupational risks were risk factors for falls， with low bone density and occupational risks contributing significantly （exceeding 20% in some regions）； multimorbidity and polypharmacy could also significantly increase the risk of falls. It is recommended that clinical settings establish a list of fall-risk increasing drugs and a warning system， improve medication reviews， strengthen medication education and adherence management， foster multidisciplinary collaboration， and develop medication strategies for specific patient populations to reduce the incidence of falls and alleviate the burden of disease.

ObjectiveThis study explores the methods of lung tissue extraction and fixation required for pathological studies of fetal rats, based on the unique physiological structure of fetal rat lung tissue and existing lung tissue fixation techniques for adult rats. MethodsSix pregnant adult SD rats at 20.5 days of gestation were subjected to cesarean section to obtain fetal rats. Four healthy fetal rats with similar body weight, vital signs, and respiratory status were selected from each pregnant rat, and they were randomly divided into the following groups using a random number table: direct lung infiltration group, lung infiltration group after intratracheal infusion, whole-body infiltration group of fetal rats, and whole-body infiltration group after intratracheal infusion of fetal rats. To systematically compare and analyze the anatomical morphology under different fixation methods, lung tissues from four groups of fetal rats were harvested, perfused, and fixed, and the gross morphology of lung tissues in each group was observed. Paraffin sections were prepared and stained with Hematoxylin-Eosin (H&E). The histological morphology of the whole lung, alveoli, and bronchi was further examined under optical microscopy. ResultsIn the direct lung infiltration group, the hilar structures were unclear, lung lobation was indistinct, the shape was irregular, lung cavities were small, and alveoli and bronchi were shrunken. In the lung infiltration group after intratracheal infusion, the hilar structures were clear, lobation was pronounced, the shape was regular, lung cavities were large, and alveoli and bronchi were full. Both the whole-body infiltration group and whole-body infiltration group after intratracheal infusion of fetal rats exhibited visible lungs, hearts, skins, and other organs. The lung tissues of both groups showed obvious lobulation, irregular shape, and damage at the margins of lung lobes. In the whole-body infiltration group, the thoracic cavities of the fetus were flattened, lung cavities were small, and alveoli and bronchi were shrunken. In the whole-body infiltration group after intratracheal infusion of fetal rats, the fetal thoracic cavities were full, lung cavities were large, and alveoli and bronchi were relatively full. ConclusionThe lung infiltration after intratracheal infusion method for fetal rat lung tissue fixation outperforms direct lung infiltration, whole-body infiltration of fetal rats, and whole-body infiltration after intratracheal infusion of fetal rats in terms of preservation of the lung tissue's original morphology, paraffin sectioning, staining, and pathological observation and analysis. The embedding, sectioning, and staining processes are also simple and save consumables. Therefore, intratracheal infusion followed by lung infiltration method is recommended for fixation in histopathological observation of fetal rat lung tissue.

Objective: To investigate the distribution patterns and risk factors for multidrug-resistant bacterial pulmonary infections in patients with oral squamous cell carcinoma (OSCC) undergoing flap reconstruction surgery, and to provide evidence for infection prevention and treatment in this population. Methods: This study was approved by the institutional medical ethics committee. We retrospectively analyzed sputum culture results, antimicrobial susceptibility testing data, and clinical records of 109 OSCC patients undergoing flap reconstruction. Chi-square tests were employed to identify pathogens and risk factors for multidrug-resistant bacteria (MDR) in postoperative pulmonary infections. Multivariate logistic regression analysis was conducted to determine MDR risk factors and establish a nomogram prediction model. The model’s discriminatory power, accuracy, and clinical utility were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results: Among the 109 patients, 52 had negative sputum cultures and 57 tested positive, of whom 14 developed multidrug-resistant (MDR) pulmonary infections. Chi-square analysis revealed that blood transfusion, pre-existing pulmonary diseases, operation time ≥ 490 min, intraoperative blood loss ≥ 400 mL, and abnormal BMI were significant risk factors for postoperative MDR infections (P < 0.05). Multivariate logistic regression identified pre-existing pulmonary diseases, intraoperative blood loss ≥ 400 mL, abnormal BMI, and operative duration ≥ 490 min as independent risk factors for MDR infections (P < 0.05). The nomogram prediction model for MDR infections demonstrated an area under the ROC curve (AUC) of 0.874 (95% CI: 0.775-0.973). The calibration plot showed good agreement between predicted and observed outcomes. DCA indicated a net clinical benefit when the threshold probability for high-risk MDR infections ranged from 0.000 to 0.810. Common MDR pathogens included MDR Pseudomonas aeruginosa, MDR Klebsiella pneumoniae, carbapenem-resistant Acinetobacter baumannii (CRAB), and methicillin-resistant Staphylococcus aureus (MRSA). Conclusion Among OSCC patients undergoing flap reconstruction, MDR pulmonary infections were predominantly caused by gram-negative bacteria (including CRAB, MDR Pseudomonas aeruginosa, and MDR Klebsiella pneumoniae along with the gram-positive pathogen MRSA. Pre-existing pulmonary comorbidities, prolonged surgery duration (≥ 490 min), significant intraoperative blood loss (≥ 400 mL), and abnormal BMI were confirmed as independent risk factors for these MDR infections. The nomogram predictive model incorporating these four variables demonstrated clinically reliable accuracy in risk stratification for postoperative MDR pulmonary infections in this patient population.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

With the acceleration of population aging, issues such as multimorbidity, functional decline, and insufficient social support among elderly patients have become increasingly prominent.The traditional single-disease-centered medical model can no longer meet their complex health needs.This paper proposes a novel model of geriatric multidisciplinary service with goal-oriented care (GOC) as the core concept, comprehensive geriatric assessment (CGA) as the transformational hub, and geriatric interdisciplinary team (GIT) as the practical vehicle.Through hierarchical GOC setting, interdisciplinary resource integration, and dynamic goal regulation, it promotes a shift in healthcare paradigm from disease-centered treatment to function maintenance and quality of life improvement.However, the widespread clinical adoption of this model still faces multiple challenges, including lagging medical insurance payment policies, insufficient integration of health data, and a shortage of interdisciplinary compound talents.Future efforts should focus on policy innovation, technological empowerment, and talent cultivation to optimize the geriatric care service system, thereby providing a scientific and sustainable practical pathway towards healthy aging.

Objective To observe the correlations of chest CT quantitative parameters and one-year readmission in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD).Methods Totally 225 AECOPD patients were included and divided into the readmission group(group A,n=61)and non-readmission group(group B,n=164)according to whether readmitted due to acute exacerbation within one year or not.Quantitative CT parameters,including the percentage of low attenuation area volume to total lung volume(LAA％)and intrapulmonary vascular volume(IPVV)of the whole lung,left/right lung and each lobe,as well as the bronchial lumen area(LA)and percentage of bronchial wall area(WA％)of grades 3-8 were compared between groups.Spearman correlations were used to analyze the correlations between quantitative CT parameters and one-year readmission.Results LAA％of the whole lung,right lung,upper lobe of both lungs,middle lobe of the right lung,and lower lobe of the right lung in group A were higher than that in group B(all P＜0.05),which were weakly positively correlated with readmissions within one year(r=0.142-0.187,all P＜0.05).Significant differences of the upper lobe of right lung LAgrade 6,lower lobe of left lung LAgrade 6,lower lobe of left lung LAgrade 8,upper lobe of right lung WA％grade 5,upper lobe of right lung WA％grade 8 and lower lobe of left lung WA％grade 8 were found between groups,which were all correlated with readmissions within one year except for the lower lobe of the left lung LAgrade 6(all P＜0.05).Conclusion One-year readmission in AECOPD patients might be associated with severe airway remodeling and emphysema.

With the acceleration of population aging, issues such as multimorbidity, functional decline, and insufficient social support among elderly patients have become increasingly prominent.The traditional single-disease-centered medical model can no longer meet their complex health needs.This paper proposes a novel model of geriatric multidisciplinary service with goal-oriented care (GOC) as the core concept, comprehensive geriatric assessment (CGA) as the transformational hub, and geriatric interdisciplinary team (GIT) as the practical vehicle.Through hierarchical GOC setting, interdisciplinary resource integration, and dynamic goal regulation, it promotes a shift in healthcare paradigm from disease-centered treatment to function maintenance and quality of life improvement.However, the widespread clinical adoption of this model still faces multiple challenges, including lagging medical insurance payment policies, insufficient integration of health data, and a shortage of interdisciplinary compound talents.Future efforts should focus on policy innovation, technological empowerment, and talent cultivation to optimize the geriatric care service system, thereby providing a scientific and sustainable practical pathway towards healthy aging.

Objective To compare the colonoscopy results of patients with positive fecal SDC2,ADHFE1,and PPP2R5C gene methylation tests to those with positive fecal occult blood tests,and analyze the effectiveness of colorectal cancer(CRC)screening.This study aims to provide a scientific basis for risk assessment in CRC screening.Methods From December 2023 to May 2024,9 284 combined test kits for SDC2,ADHFE1,and PPP2R5C gene methylation were distributed to high-risk individuals aged 40～80 years.Among them,841 patients(9.1％)tested positive.These patients were encouraged via telephone to undergo colonoscopy,with colonoscopy combined with pathological diagnosis as the gold standard,a total of 495 positive patients completed electronic colonoscopy.Among them,the 251 patients who tested positive for fecal SDC2,ADHFE1,and PPP2R5C gene methylation and completed electronic colonoscopy were the observation group;concurrently,244 patients who tested positive for fecal occult blood tests and underwent electronic colonoscopy were selected as the control group.Compare two groups of patients with polyp,number,shape,pathological changes and pathological types.Results There was no statistically significant difference in number and lesion location of polyps between the two groups of patients(P>0.05).The proportion of Yamada type Ⅰ in the observation group was lower than that in the control group,while the proportion of Yamada type Ⅱ was higher than that in the control group.The difference was statistically significant(P<0.05).In the observation group,1 case(0.4％)of CRC,62 cases(24.7％)of advanced adenomas,78 cases(31.1％)of non-advanced adenomas,20 cases(8.0％)of hyperplastic polyps,and 90 cases(35.9％)with no dysplastic lesions were identified.In the control group,6 cases(2.5％)of CRC,38 cases(15.6％)of advanced adenomas,53 cases(21.7％)of non-advanced adenomas,19 cases(7.8％)of hyperplastic polyps,and 128 cases(52.5％)with no dysplastic lesions were identified.The proportions of non-advanced adenomas and advanced adenomas were lower in the control group than those in the observation group,while the no dysplastic lesions rate was higher in the control group,the differences were statistically significant(P<0.05).Conclusion The detection rate of colorectal non-advanced adenomas and advanced adenomas is higher with fecal SDC2,ADHFE1,and PPP2R5C gene methylation testing compared to the fecal occult blood test.