ObjectiveTo investigate the current status of assistive device use and unmet needs among persons with disabilities in Sichuan-Chongqing region, and to identify the key factors associated with satisfaction with these devices. MethodsFrom October, 2024 to February, 2025, quota sampling was adopted to recruit 1 040 persons with disabilities in Sichuan and 260 persons with disabilities in Chongqing. Telephone and online questionnaires were used to collect data on demographic characteristics, status of assistive device utilization and unmet assistive device needs, as well as satisfaction with assistive device use. Correlation analysis, multiple linear regression analysis and structural equation modeling were performed to identify key factors associated with satisfaction. ResultsA total of 1 186 valid responses were collected, of which 942 were from Sichuan Province and 244 from Chongqing Municipality. The utilization rate of assistive devices among persons with disabilities in Sichuan-Chongqing region was 61.9%, and the rate of unmet assistive device needs was 30.6%. The assistive device utilization rate of participants with agricultural household registration (57.98%) was lower than that of participants with non-agricultural household registration (66.86%). The utilization rate showed a J-shaped upward trend with the increase of educational attainment. Educational attainment (P = 0.002), perceived usefulness of assistive devices (P < 0.001), home living environment (P < 0.001), public environment (P < 0.001) and disability type (significant differences were found in visual and hearing disabilities compared with physical disability, P < 0.05) were key predictors of satisfaction with assistive device use. The impact of public environment on satisfaction was exerted through two indirect mediating paths: mediating effect via perceived usefulness of assistive devices (ind₁ = 0.357, 95%CI 0.279 to 0.437, P < 0.001), contributing approximately 70% of the total indirect effect; mediating effect via home living environment (ind₂ = 0.129, 95%CI 0.006 to 0.242, P = 0.038), contributing approximately 25% of the total indirect effect. ConclusionThere is a structural imbalance between assistive device use and demand in Sichuan-Chongqing region. People with psycho-intellectual disabilities are most likely to be excluded from the service chain because they neither perceive need nor access information. Education exerts a robust positive effect on both adoption and satisfaction, so training content must be tailored to different educational levels. Satisfaction is shaped by disability type, device usefulness and environmental factors. Future product development should therefore integrate functional and psychosocial dimensions. Priority should be given to micro-scale home-and-community accessibility retrofits before extending upward to public transportation and employment settings, to maximize the cost-effectiveness of limited funds.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

Objective To evaluate the characteristics, related therapeutic regimens, risk factors of cardiovascular adverse events (CVAEs) and prognosis in the current therapy of newly diagnosed multiple myeloma (NDMM) patients in China. Methods A retrospective observational study was performed on patients with NDMM treated at Zhongshan Hospital, Fudan University, from January 2013 to October 2021. The propensity score matching at a ratio of 1∶1 was employed to balance baseline confounders between the therapeutic group and the control group, and CVAEs incidences were compared between the corresponding groups. Independent risk factors for CVAEs were identified through Fine-Gray competing risk regression model. Kaplan-Meier survival curves and log-rank tests were used to assess overall survival and progression-free survival of patients. Results A total of 829 patients with NDMM were analyzed, with a median of 33.1 months of follow-up for survivors. CVAEs occurred in 65 patients (7.8%) during first-line treatment, and a total of 74 events were recorded, with 52.7% grade 3 or greater in severity. Arrhythmia (particularly atrial fibrillation), thrombotic event (TE), and heart failure were the most common types. The median time from treatment to the first occurrence of CVAEs was 26 days, while the medium occurrence time of TE was later than the other events (76 d vs 19 d, P＝0.003). The exposure to immunomodulatory drugs was related to a higher incidence of TEs, whereas other therapeutic regimens, including bortezomib, didn’t show the effect of cardiovascular toxicity. Results of multivariate analysis showed that Eastern Cooperative Oncology Group performance status ＞2, symptomatic heart diseases within three months before treatment, and estimated glomerular filtration rate≤50 mL·min⁻¹·(1.73 m²)⁻¹ were independent risk factors for CVAEs. Compared with patients without CVAE, patients who experienced CVAEs had significantly inferior progression-free survival and overall survival, and higher cardiovascular mortality (P＜0.001). Conclusions The incidence of CVAE is relatively high during first-line treatment in NDMM patients, and the prognosis of CVAE patients is poor. The risk of CVAE is significantly increased in patients with underlying cardiovascular diseases.

Objective: To explore the independent risk factors of allogeneic blood transfusion during perioperative period of cytoreductive surgery in patients with ovarian cancer, and to construct a predictive model to facilitate clinical risk assessment and optimize perioperative blood management. Methods: Clinical data of 156 patients who underwent cytoreductive surgery for ovarian cancer in our hospital from January 2020 to December 2025 were retrospectively collected. The patients were divided into transfusion group (n=51) and non-transfusion group (n=105) according to whether they received allogeneic blood transfusion during perioperative period. The 1∶1 propensity score matching (PSM) was used to correct the confounding factors. Independent sample t test or Mann-Whitney U test was used for measurement data, and chisquare test was used for enumeration data. Variables with P<0.05 in univariate analysis were included in binary logistic regression for multivariate analysis to determine independent risk factors. A nomogram model for perioperative allogeneic blood transfusion risk prediction was constructed based on independent risk factors. Bootstrap method (100 samples) was used for internal calibration verification. ROC curve was used to evaluate the discrimination efficiency, and decision curve analysis (DCA) was used to evaluate the clinical net benefit of the model. Results: After propensity matching, the baseline data of the two groups were balanced and comparable. Multivariate logistic regression analysis showed that preoperative prothrombin time (PT) (OR=2.666, 95%CI 1.249~5.693, P=0.011), preoperative hemoglobin (Hb) (OR=0.953, 95%CI 0.923~0.984, P=0.003), intraoperative blood loss (OR=1.004, 95%CI 1.001-1.006, P=0.004), preoperative anemia grade (OR=3.052, 95%CI 1.007-9.252, P=0.049) were independent influencing factors of perioperative allogeneic blood transfusion. The nomogram model based on the above four factors was significant (LR χ =58.617, P<0.001), and the internal calibration curve showed that the predicted probability of the model was in good agreement with the actual probability (mean absolute error=0.042). The area under the ROC curve (AUC) was 0.890, indicating good discrimination efficiency. DCA showed that the clinical net benefit of the model was better than that of the unified transfusion/non-transfusion strategy in the 0-0.45 risk threshold range. Conclusion: Intraoperative blood loss, preoperative PT, preoperative Hb and preoperative anemia grade are independent risk factors for perioperative allogeneic blood transfusion in patients undergoing cytoreductive surgery for ovarian cancer. The nomogram model based on the above factors has good predictive efficacy and clinical hierarchical decision-making value, which can provide reference for clinical implementation of individualized blood management for high-risk patients and reduction of unnecessary blood transfusion rate.

Objective:To compare the significantly differentially expressed proteins in peripheral blood mononuclear cells between patients with different types of depressive disorders and normal participants and explore objective biomarkers with diagnostic significance.Methods:From March to May 2024, peripheral blood samples were collected from bipolar depression (BP), simple depression (DEP), persistent depressive disorder (PDD), and normal participants (NP) at the outpatient department of the Mental Health Center of Ningxia Medical University General Hospital. Using data-independent acquisition (DIA) quantitative proteomics technology, differentially expressed proteins were identified in the peripheral blood of patients with different types of depressive disorders and normal participants, conducting bioinformatics analysis to obtain candidate objective biomarkers, and finally identifying common and unique objective biomarkers for different types of depressive disorders. Data analysis was conducted using R software (version 4.0) and SPSS 27.0 software.Results:A total of 167 differentially expressed proteins were screened between BP and NP, 30 differentially expressed proteins were screened between DEP and NP, and 14 differentially expressed proteins were screened between PDD and NP.The differential proteins unique to the BP group were ARPC4 SPARC、MTPN、SNCA、YWHAH、MIF、COTL1, the differentially expressed proteins unique to the DEP group were RBBP9 APOF、S100A6, and the unique differential proteins in the PDD group were APOA5 CA1、IGLV3-25、APOC2.Conclusion:The objective biomarkers and signaling pathways obtained using DIA quantitative proteomics technology are of great significance for revealing the biological basis and diagnosing accurately of different types of depressive disorders.

Objective To investigate the effect and mechanism of melatonin in alleviating hypoxia-induced apoptosis in ovarian gra-nulosa cells.Methods Rat ovarian granulosa cells were isolated and divided into normoxic,hypoxic,and melatonin groups.Hypoxia-induced injury models were established in the hypoxic and melatonin groups,and granulosa cells in the melatonin group were treated with melatonin.A total of 24 rats were randomized into the control,model,and intervention groups(n=8 per group).Rat models of declining ovarian function induced by long-term hypoxia were established in the model and intervention groups.The rats in the intervention group were intraperitoneally injected with melatonin.Cell proliferation was measured using a CCK-8 assay,and lactate secretion and HIF-1αprotein with a specific kit,respectively.The levels of estradiol and progesterone in the cell supernatant and rat serum were detected using ELISA.Granulosa cell apoptosis was detected by flow cytometry,ovarian morphology by HE staining,and Bax and caspase-3 expression by Western blotting.Results Compared with the normoxic group,the hypoxic group exhibited decreased granulosa cell proliferation,increased apoptosis,elevated lactate and HIF-1α levels,and reduced estradiol and progesterone levels(P＜0.05).Compared with hypoxic group,these changes were significantly reversed in the molatonin group(P＜0.05).Compared with the control group,the model group showed increased lactate,HIF-1α,Bax,and caspase-3 levels,decreased estradiol and progesterone levels,and reduced follicles.Compared with the model group,all the indicators were ameliorated in the intervention group(P＜0.05).Conclusion Melatonin alleviated hypoxia-induced granulosa cell apoptosis and promoted the recovery of ovarian function.

Objective:To systematically synthesize the real experiences of women who have undergone emergency cesarean sections, providing evidence-based insights to inform the development of personalized care strategies.Methods:A comprehensive literature search was conducted across PubMed, Web of Science, Embase, CINAHL, Cochrane Library, PsycINFO, ProQuest, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc for qualitative and mixed-methods studies related to the psychological experiences of women who underwent emergency cesarean sections. The search covered all publications up to January 31, 2025. The methodological quality of included studies was appraised using the Joanna Briggs Institute Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research. The results were integrated using an aggregative synthesis approach.Results:A total of 16 studies were included, from which 78 findings were extracted and grouped into nine new categories. These were further synthesized into three overarching themes: shift in birth plan and emergence of dynamic emotional responses; desire for diversified external support and encouragement; emotional investment and character growth.Conclusions:Women undergoing emergency cesarean sections commonly experience intense negative emotions. It is essential for healthcare providers and family members to pay close attention to the physical and psychological well-being of postpartum women, offer timely emotional support, and help them recover from psychological trauma, thereby promoting maternal mental and physical health.

Objective To analyze effects of caragliflozin and empagliflozin on inflammatory markers,glucose and lipid metabolism and miR-144 expression in obese patients with type 2 diabetes mellitus(T2DM).Methods A total of 148 obese T2DM patients admitted to our hospital from June 2021 to May 2024 were selected and divided into the caragliflozin group and the empagliflozin group by random number table method.The two groups were treated with canagliflozin and empagliflozin on the basis of conventional treatment for 6 months.The inflammatory indicators,glucose metabolism indicators,lipid metabolism indicators,microRNA-144(miR-144)expression,body mass index(BMI),clinical efficacy and incidence of adverse reactions were compared between the two groups.Results After a total of 7 cases were excluded during the treatment period,there were 71 cases in the caragliflozin group and 70 cases in the empagliflozin group.After treatment,the levels of tumor necrosis factor-α,interleukin-6,C-reactive protein,fasting blood glucose(FBG),2 h postprandial blood glucose(2 h-PPG),glycosylated hemoglobin(HbA1c),triglyceride(TG),total cholesterol,low density lipoprotein cholesterol,BMI and miR-144 expression were lower than those before treatment in two groups of patients(P＜0.05),and the levels of FBG,2 h-PPG,HbA1c,TG and miR-144 expression were lower in the caragliflozin group than those of the empagliflozin group(P＜0.05).After treatment,high density lipoprotein cholesterol was higher than that before treatment in the two groups(P＜0.05),and that in the canagliflozin group was higher than the empagliflozin group(P＜0.05).There were no significant differences in the clinical efficacy and incidence of adverse reactions between the two groups after treatment(P＞0.05).Conclusion Both caragliflozin and empagliflozin have certain therapeutic efficacy and good safety for obese T2DM patients,and caragliflozin is more effective in improving glucose and lipid metabolism.

Objective To investigate the impact of high-frequency repetitive transcranial magnetic stimula-tion(rTMS)combined with biofeedback-assisted dry swallowing training on treating dysphagia following a stroke.Methods A total of 152 patients with dysphagia after stroke,admitted to the hospital from January 2022 to January 2024,were randomly divided into four groups using a random number table,with 38 cases in each group.The biofeedback group received biofeedback-assisted dry swallowing training,the magnetic stimulation group received high-frequency rTMS on the unaffected side,the combined group received both biofeedback-assisted dry swallowing training and high-frequency rTMS on the unaffected side,and the placebo group received conventional swallowing training and sham rTMS.All interventions lasted for 4 weeks.Clinical efficacy was recorded,and pre-and post-treatment assessments of the upper esophageal sphincter(UES)opening time,opening degree,and pharyngeal contraction duration were performed using multifunctional esophageal manometry.Additionally,swallowing func-tion,nutritional status,neurological function,and quality of life were compared.Results The clinical efficacy of the combined group was higher than that of the biofeedback and magnetic stimulation groups.Post-treatment UES opening time,opening degree,and pharyngeal contraction duration were(205.33±29.01)ms,(1.14±0.34)cm,and(559.19±63.48)ms,respectively,which were significantly better than those in the other 3 groups(P<0.05).The swallowing function scores of the combined group were(6.04±0.83)and(20.03±3.26)points,and significant improvements were observed in swallowing function,nutritional status,neurological function,and quality of life(P<0.05).Conclusion High-frequency rTMS combined with biofeedback-based dry swallowing training signifi-cantly improves the efficacy in the treatment of dysphagia after stroke.

Objective:To compare the significantly differentially expressed proteins in peripheral blood mononuclear cells between patients with different types of depressive disorders and normal participants and explore objective biomarkers with diagnostic significance.Methods:From March to May 2024, peripheral blood samples were collected from bipolar depression (BP), simple depression (DEP), persistent depressive disorder (PDD), and normal participants (NP) at the outpatient department of the Mental Health Center of Ningxia Medical University General Hospital. Using data-independent acquisition (DIA) quantitative proteomics technology, differentially expressed proteins were identified in the peripheral blood of patients with different types of depressive disorders and normal participants, conducting bioinformatics analysis to obtain candidate objective biomarkers, and finally identifying common and unique objective biomarkers for different types of depressive disorders. Data analysis was conducted using R software (version 4.0) and SPSS 27.0 software.Results:A total of 167 differentially expressed proteins were screened between BP and NP, 30 differentially expressed proteins were screened between DEP and NP, and 14 differentially expressed proteins were screened between PDD and NP.The differential proteins unique to the BP group were ARPC4 SPARC、MTPN、SNCA、YWHAH、MIF、COTL1, the differentially expressed proteins unique to the DEP group were RBBP9 APOF、S100A6, and the unique differential proteins in the PDD group were APOA5 CA1、IGLV3-25、APOC2.Conclusion:The objective biomarkers and signaling pathways obtained using DIA quantitative proteomics technology are of great significance for revealing the biological basis and diagnosing accurately of different types of depressive disorders.