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 explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

Objective:To analyze the epidemiological and clinical features of infectious diseases of the central nervous system (CNS).Methods:A cross-sectional study and analysis were conducted to summarize the epidemiological and clinical characteristics of 9 918 patients with CNS infectious diseases, who were diagnosed and treated at 29 hospitals across China from January 1, 2001 to December 31, 2020. Data collected included demographic data, clinical manifestations, health economic indicators, and prognostic outcomes.Results:Among the 9 918 collected cases of CNS infectious diseases, 5 559 were male (56.0%) and 4 359 were female (44.0%), with an onset age of 38 (25, 53) years. Education level: slightly more junior high school education (2 651 cases, 26.7%), and less elementary school education and below (2 181 cases, 22.0%) were found. Occupational distribution: farmers were found predominant (3 215 cases, 32.4%), followed by workers (1 826 cases, 18.4%) and students (1 633 cases, 16.5%). Clinical manifestations: headache (6 074 cases, 61.2%), fever (5 869 cases, 59.2%) and positive meningeal irritation signs (2 273 cases, 22.9%) were the 3 most common clinical manifestations, followed by nausea and (or) vomiting (2 095 cases, 21.1%), impaired consciousness (2 077 cases, 20.9%), psychiatric symptom (1 866 cases, 18.8%) and epilepsy (1 627 cases, 16.4%), etc., and cranial nerve involvement was found in 669 cases (6.7%). Major pathogens included viruses in 6 814 cases (68.7%), Mycobacterium tuberculosis in 1 677 cases (16.9%), common bacteria in 864 cases (8.7%), fungi in 254 cases (2.6%), spirochetes of syphilis in 183 cases (1.8%), parasites in 121 cases (1.2%), and rickettsiae in 5 cases (0.1%). Urban-rural distribution: slightly more cases were found in the countryside (5 418 cases, 54.6%) than in the towns (4 500 cases, 45.4%). Distribution of onset by season: 2 412 cases (24.3%) fell ill in spring, 2 835 cases (28.6%) in summer, 2 187 cases (22.1%) in fall, and 2 484 cases (25.0%) in winter. Health economics: the duration of hospitalization was 15 (8, 27) days, and the cost of hospitalization was 1.53 (0.91, 3.02)×10 000 yuan. Prognosis: 9 531 cases (96.1%) were cured or improved, and 92 cases (0.9%) died. Conclusions:The pathogens responsible for CNS infectious diseases are predominantly viruses. Although the incidence is slightly higher during the summer months, the overall seasonal pattern is not particularly pronounced. These infections are more commonly observed in young and middle-aged males and present with a diverse range of clinical manifestations, contributing to a significant disease burden.

Objective Using Meta-analysis to systematically evaluate the incidence and risk factors of pulmonary infection occurring in patients with acute ischemic stroke(AIS)after receiving mechanical thrombectomy.Methods A computerized retrieval of academic papers concerning the case-control study and cohort study of lung infection in patients with AIS after mechanical thrombectomy from the databases of PubMed,Web of Science,Embase,Cochrane Library,China Knowledge Network,Wanfang Data Knowledge Service Platform,and Wipro.com databases was conducted by two independent investigators.The retrieval time period was from the establishment of the database to December 2023.STAT A 16.0 software was used to make the Meta-analysis of the extracted literature.Results A total of 10 literature were included,with a combined sample size of 6 149 cases and 2 076 cases occurring lung infections.Meta-analysis revealed that the pulmonary infection in patients after mechanical thrombectomy for AIS showed a high degree of heterogeneity in the included studies(I2=97.87％,P＜0.001),and a random-effects model yielded an incidence of 31.8％for pulmonary infection.Risk factors for the occurrence of postoperative lung infection included atrial fibrillation(OR=1.33,95％CI:1.10-1.6,P=0.004),dysphagia(OR=3.83,95％CI:2.43-6.05,P＜0.001),high NIHSS score(OR=1.43,95％CI:1.05-1.94,P=0.023),impaired consciousness(OR=2.29,95％CI:1.38-3.81,P＜0.001),and intraoperative use of sedative drugs(OR=3.21,95％CI:2.91-3.54,P＜0.001).Conclusion The existing evidences indicate that patient's age ≥60 years,atrial fibrillation,dysphagia,impaired consciousness,high NIHSS score,and intraoperative use of sedative drugs are risk factors for the occurrence of pulmonary infection in AIS patients after receiving mechanical thrombectomy.In clinical practice,these risk factors should be highly valued,and these risk factors should be included in the postoperative comprehensive assessment and intervention strategies for patients so as to reduce the incidence of pulmonary infection.

Objective To evaluate the risk factors for pulmonary infection in patients with acute ischemic stroke after receiving mechanical thrombectomy and to construct a risk prediction model based on machine-learning algorithm technology.Methods A total of 315 patients with acute ischemic stroke,who received mechanical thrombectomy at the Kunming Yan'an Hospital and Kunming Municipal First People's Hospital,were enrolled in this study.The 315 patients who were admitted to the hospital between January 2019 and December 2023 were collected as the modeling group,and other 73 patients who were admitted to the hospital between January 2024 and September 2024 were collected as the validation group.The demographic materials and the clinical diagnosis and treatment data were collected within 24 h after admission,and the risk factors for pulmonary infection after mechanical thrombectomy were analyzed.A total of seven machine learning algorithms were employed to establish a predictive model for pulmonary infection in patients with large-vessel occlusive stroke after receiving mechanical thrombectomy.Based on the accuracy,recall,precision,F1 index,and area under the receiver operating characteristic curve(AUC),the performance of model was evaluated.Results The comprehensive performance in accuracy,recall,precision,F1 index and AUC of the gradient boosting classifier in both the modeling group and the validation group are all excellent.Conclusion The risk prediction model constructed on the basis of machine-learning algorithm technology can early identify lung infection and discover the risk factors in patients with acute ischemic stroke after receiving mechanical thrombectomy,therefore,the prevention and control measures can be promptly taken,the incidence of lung infection can be effectively decreased.

Objective:To investigate the incidence of common complications following vaginal delivery and analyze their influencing factors among women of reproductive age.Methods:This prospective cohort study consecutively enrolled women who delivered vaginally at two campuses of the Obstetrics and Gynecology Hospital of Fudan University between February and July 2023. Participants were categorized into groups according to complication occurrence: those with obstetric laceration versus those without, postpartum hemorrhage versus non-hemorrhage, and retained placenta/membranes without hemorrhage vs. non-retention. Data were collected using a self-developed questionnaire on risk factors for vaginal delivery complications. Group comparisons of demographics, obstetric history, intrapartum assessments, and delivery outcomes were performed using Chi-square test (or Fisher's exact test), independent samples t-test, and Mann-Whitney U test. Multivariate logistic regression identified risk factors for the three complication types. Results:Among 1 966 vaginal deliveries, the overall complication rate was 8.1% (159/1 966), with obstetric lacerations representing the most frequent complication at 4.6% (91/1 966), followed by postpartum hemorrhage at 2.7% (53/1 966) and retained placenta/membranes without hemorrhage at 1.4% (27/1 966). Multivariate logistic regression analysis identified distinct sets of independent risk factors for each complication. For obstetric lacerations, adequate gestational weight gain was associated with a reduced risk ( OR=0.547, 95% CI: 0.332-0.900, P=0.018), while precipitous labor ( OR=2.633, 95% CI: 1.321-5.248, P=0.006), shoulder dystocia ( OR=2.495, 95% CI: 1.093-5.691, P=0.030), poor maternal cooperation ( OR=1.887, 95% CI: 1.061-3.359, P=0.031), and specific perineal conditions—particularly reduced skin folds ( OR=2.341, 95% CI: 1.247-4.395, P=0.008) and tight/thick/edematous skin ( OR=2.511, 95% CI: 1.248-5.054, P=0.010)—emerged as significant risk factors. Regarding postpartum hemorrhage, conception through assisted reproductive technology ( OR=3.286, 95% CI: 1.189-9.076, P=0.022), presence of obstetric comorbidities ( OR=2.460, 95% CI: 1.070-5.656, P=0.034), elevated D-dimer levels ( OR=1.157, 95% CI: 1.049-1.277, P=0.004), reduced fibrinogen ( OR=0.521, 95% CI: 0.319-0.851, P=0.009), weak uterine contractions ( OR=20.175, 95% CI: 10.352-39.321, P<0.001), abnormal placentation ( OR=2.434, 95% CI: 1.167-5.078, P=0.018), and absence of early skin-to-skin contact ( OR=0.141, 95% CI: 0.067-0.295, P<0.001) were independently associated with increased risk. For retained placenta/membranes without hemorrhage, prolonged thrombin time ( OR=0.117, 95% CI: 0.034-0.318, P<0.001) and abnormal placentation ( OR=51.843, 95% CI: 14.988-179.324, P<0.001) were identified as primary risk factors. Conclusions:While the overall incidence of complications following vaginal delivery among women of reproductive age is relatively low, high-risk groups warrant particular attention. Precipitous labor, shoulder dystocia, poor maternal cooperation, and unfavorable perineal conditions increase laceration risk. Assisted conception, obstetric comorbidities, elevated D-dimer levels, uterine atony, and placental abnormalities elevate hemorrhage risk. Furthermore, placental abnormalities are strongly associated with retained placenta/membranes without hemorrhage.

Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.

Objective:To explore the prognostic value of serum free light chain in chronic lymphocytic leukemia patients.Methods:Retrospective cohort study was conducted. One hundred and fifty-six newly diagnosed chronic lymphocytic leukemia(CLL) patients in the first affiliated hospital of Nanjing Medical University from January 2016 to December 2020 were included in the retrospective analysis. Among them, there were 106 males and 50 females, with a median age of 60.7 (53.4, 66.0) years old.Serum sample was collected, serum free light chains were detected, and patients were divided into a treatment group (106 cases) and a follow-up group (50 cases) based on the presence of treatment indications.The threshold of serum free light chain(sFLC) was defined by the reference range of the instruction manual and ROC curve. Three indicators were used, including sFLCR, sFLC(κ+λ) and sFLC(κ-λ). Patients were divided into normal sFLCR group ( n=61)and abnormal group( n=95), as well as sFLC (κ+λ) low value group ( n=88) and high value group ( n=68), and sFLC (κ-λ) low value group ( n=64) and high value group ( n=92).The abnormal group and high value group were enrolled as the experimental group, while the normal group and low value group were enrolled as control group. Chi-square test and Fisher′s exact test were used to compare the clinical data, cytogenetics, and molecular biology characteristics of patients in two groups, Kaplan-Meier method was used to analyze the median treatment-free survival (TFS) of the patients, and Cox regression was used to screen the prognostic factors of the patients. Results:The proportion of Rai stage Ⅰ-Ⅳ ( χ2=8.16, P<0.05 and χ2=7.63, P<0.05 and χ2=5.45, P<0.05), Binet stage B-C( χ2=4.11, P<0.05 and χ2=9.43, P<0.05 and χ2=7.34, P<0.05), β 2-microglobulin>3.5 mg/L( χ2=5.13, P<0.05 and χ2=18.3, P<0.05 and χ2=12, P<0.05), ATM gene mutation rate( χ2=6.21, P<0.05 and χ2=4.88, P<0.05 and χ2=5.19, P<0.05), and immunoglobulin heavy chain variable region (IGHV) mutation free rate ( χ2=18.9, P<0.05 and χ2=24.6, P<0.05 and χ2=10.4, P<0.05)in the experimental group were significantly higher than that in control group 1 ( P<0.05). Multivariate analysis indicated that sFLC(κ+λ) ( HR=1.615,95% CI 1.012-2.576, P=0.044), β 2-microglobulin>3.5 mg/L( HR=2.103,95% CI 1.356-3.262, P=0.001) and TP53 deletion and/or mutation( HR=1.892,95% CI 1.082-3.308, P=0.025) were independent prognostic factors affecting the patients time to first treatment(TFT). Conclusions:Serum free light chains can predict the risk of early treatment and have good prognostic significance in newly diagnosed CLL patients.

Objective To explore the early detection value of estimated glucose disposal rate(eGDR)for non-alcoholic fatty liver disease(NAFLD),providing a simple tool for precise clinical intervention.Methods A cross-sectional analysis was conducted on totally 3 262 participants with complete data from the National Health and Nutrition Survey Database of the United States from 2007 to 2018.Univariate regression and multivariate logistic regression analyses were used to explore the correlation between the estimated glucose treatment rate and the incidence of non-alcoholic fatty liver disease.Subgroup analysis,restricted cubic spline and threshold effect analysis were conducted to investigate the potential factor influences and nonlinear relationships.Result Among all the included populations,948 cases(25.29%)were diagnosed with NAFLD,and the number gradually decreased with the increase of the estimated glucose treatment rate(P<0.001).Multivariate logistic regression showed that the estimated grape processing rate was negatively correlated with non-alcoholic fatty liver disease(OR=0.86,95%CI:0.83～0.88,P<0.001),and when the estimated glucose processing rate was≥10.246,it could significantly reduce the risk of non-alcoholic fatty liver disease(OR=0.20,95%CI:0.10～0.39,P<0.001),and stratified analysis further confirmed this result.Conclusion The eGDR is significantly associated with the incidence risk of NAFLD.A higher eGDR indicates a lower risk of NAFLD.This implies that in clinical practice,the risk of disease detection can be quantified through this indicator,thereby identifying potential patients earlier and initiating intervention.Countermeasures As decision-makers,they should strengthen public health education on non-alcoholic fatty liver disease,reduce health risks by promoting healthy diets and lifestyle interventions,and pay attention to the cardiovascular health of high-risk groups for non-alcoholic fatty liver disease.At the same time,promote the research and application of drugs,and dynamically adjust policies through continuous disease monitoring to comprehensively reduce the burden of non-alcoholic fatty liver disease.