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.

ObjectiveTo screen and identify uridine diphosphate （UDP）-rhamnose synthase （RHM） genes from Ornithogalum saundersiae and verify their UDP-rhamnose （UDP-Rha） biosynthetic functions， thereby providing reliable candidate genes for the efficient biosynthesis of neohesperidin and other rhamnoside natural products. MethodsBased on previously reported plant RHM sequences， two candidate RHM genes， OsRHM1 and OsRHM2， were identified from O. saundersiae through transcriptome screening and sequence alignment. The two genes were cloned and subjected to bioinformatics analysis and multiple sequence alignment. An in vitro RHM-Cm1，2RhaT cascade reaction was established， and the ability of OsRHM1 and OsRHM2 to catalyze the conversion of UDP-glucose （UDP-Glc） to UDP-Rha was evaluated based on neohesperidin production. Real-time fluorescence quantitative polymerase chain reaction PCR （Real-time PCR） was performed to analyze the relative expression levels of the two genes in roots， bulbs， and leaves. ResultsThe open reading frame （ORF） of OsRHM1 was 2 076 bp and encoded 692 amino acids， with a predicted protein molecular mass of 77.97 kDa and a theoretical isoelectric point of 7.25. The ORF of OsRHM2 was 2 019 bp and encoded 673 amino acids， with a predicted protein molecular mass of 75.82 kDa and a theoretical isoelectric point of 7.24. Multiple sequence alignment showed that OsRHM1 and OsRHM2 contained the typical conserved motifs GxxGxxG/A and YxxxK of the plant RHM family and shared high amino acid sequence identity with previously reported RHMs. The in vitro cascade reaction demonstrated that both OsRHM1 and OsRHM2 were capable of catalyzing the conversion of UDP-Glc to UDP-Rha. The neohesperidin production in the OsRHM2 cascade reaction system was approximately 2.58-fold that in the OsRHM1 system. Real-time PCR analysis showed that the relative expression levels of OsRHM1 and OsRHM2 were higher in roots than in bulbs and leaves. ConclusionOsRHM2 exhibited a relatively high capacity for UDP-Rha supply and may serve as a candidate enzyme resource for the subsequent biosynthesis of rhamnoside natural products and the construction of UDP-Rha supply systems.

ObjectiveTo improve the quality of artificial cultivation of the source plant of Fritillariae Cirrhosae Bulbus （FCB）， an XGBoost regression model was constructed based on the Group-Lasso method to screen the characteristic variables. The key factors affecting the quality formation of the source plant were then analyzed. MethodsFirstly， with the total alkaloid content （TAC） of FCB as the dependent variable， explanatory characteristic variables were screened from the influencing factors of TAC in the literature studying FCB quality from 2010 to 2024 based on the Group-Lasso regression algorithm. The screening results were verified by ten-fold cross-validation. Secondly， the present study established an XGBoost regression model to analyze the influencing factors of the quality formation of the source plant， and calculated the importance score of the explanatory characteristic variables. ResultsGroup-Lasso regression removed 2 numerical independent variables and retained the remaining 5 categorical variables and 6 numerical variables； cross-validation also showed that the number of screening variables is 11， with the corresponding optimal λ parameter value of 0.000 515 225 1. The results of XGBoost regression model confirmed the geographical origin as the most critical factor affecting the quality formation of source plants， followed by growth status and soil type， and then by mean temperature of the warmest month， original plant type， mean annual temperature， and altitude. Climate type， precipitation， frost-free period and relative humidity of the geographical origin exerted little effect. ConclusionThe prediction tools of Group-Lasso and XGBoost regression analysis models were preliminarily established for the quality formation of FCB. These models overcame the multicollinearity among numerical independent variables， and explored the geographical distribution of TAC and its key driving factors. The suitable cultivation areas can be selected or wild-tending bases established based on these key factors， thereby effectively avoiding blind introduction and cultivation. Finally， the present study provided a reference for the development and utilization of FCB， a theoretical basis for the market expansion and quality regulation， and a direction for the sustainable development and protection of new and efficient FCB resources.

Objective To investigate the effects of ulinastatin(UTI)combined with somatostatin(SOM)on intestinal damage in acute pancreatitis(AP)rats and the possible mechanisms of action.Methods The rats were randomly divided into sham-operated(sham)group,AP group,UTI group,UIT+SOM group and UIT+SOM+JAK2 activator(CA1)group,15 rats/group,respectively.Twelve hours after administration,the intestinal permeability,serum biochemical indicators,and inflammatory factor of rats were detected.HE staining was applied to observe the pathological changes in pancreatic and intestinal tissues.TUNEL method was applied to detect apoptosis in intestinal tissue.Western blot was applied to detect the expression of JAK2/STAT3 signaling pathway proteins.Results Compared with the sham group,the pancreatic tissue of rats in the AP group showed obvious inflammatory cell infiltration,edema and bleeding,while the intestinal mucosa showed inflammatory cell infiltration,irregular villi,shedding and necrosis of intestinal epithelial cells in the intestinal tissue.The intestinal permeability,serum amylase(AMY),lipase(LIPA)activities,diamine oxidase(DAO)activities,tumor necrosis factor α(TNF-α),interleukin-6(IL?6)level,pancreatic and intestinal histopathological scores,intestinal tissue cell apoptosis rate,and p?JAK2/JAK2,p?STAT3/STAT3 ratio all significantly increased(P<0.05).Compared with the AP group,the pancreatic and intestinal tissue injury of rats in the UTI group and UIT+SOM group was reduced,and inflammatory cell infil?tration was reduced.The intestinal permeability,serum AMY,LIPA activities,DAO activities,TNF?α,IL?6 level,pancreatic and intestinal histopathological scores,intestinal tissue cell apoptosis rate and p?JAK2/JAK2,p?STAT3/STAT3 ratio were all decreased(P<0.05).The pancreatic and intestinal tissue injury of rats in the UIT+SOM+CA1 group were more severe,and the trends of the above indicators were opposite to those found in UIT+SOM group(P<0.05).Conclusions The combination of UTI and SOM attenuated intestinal injury in AP rats,and potential mechanism may involve in the inhibition of the JAK2/STAT3 signaling pathway.

The special natural environment of the plateau brings about great difficulties and challenges to the field medical support.The serious injury treatment group of the field medical team is responsible for the early treatment of the critically injured,which is highly demanding and is more likely to be adversely affected by the plateau environment.Based on the real experiences and current reality,this paper outlines the priorities of work done by the serious injury treatment group on the plateau in terms of personnel selection,professional training,material preparation,site construction,treatment regimens and combat readiness in the hope of providing references for the medical support for China's the military on the plateau.

OBJECTIVE To evaluate the cost-effectiveness of finerenone combined with standard of care （SoC） in the treatment of heart failure with mildly reduced ejection fraction （HFmrEF） or preserved ejection fraction （HFpEF）. METHODS Based on a phase Ⅲ clinical trial， a Markov model was constructed from the perspective of China’s healthcare system to compare the treatment outcomes of finerenone combined with SoC regimen versus SoC regimen alone in the treatment of different cardiac functional statuses of HFmrEF/HFpEF. Using quality-adjusted life year （QALY） as the health output index， 3 times China’s per capita GDP in 2023 as the willingness-to-pay （WTP） threshold， a simulation was conducted with a 3-month cycle length and a 10- year time horizon， incorporating an annual discount rate of 5%. The dynamic changes across various stages of HFmrEF/HFpEF treated with finerenone combined with SoC versus SoC alone were simulated to evaluate the long-term effectiveness and costs of the two treatment strategies. Additionally， one-way sensitivity analysis and probabilistic sensitivity analysis were performed， to test the robustness of the results. RESULTS The incremental cost-effectiveness ratio （ICER） of the finerenone combined with SoC regimen versus SoC regimen alone was 179 504.75 yuan/QALY， which was below the WTP threshold set in this study， indicating that the finerenone combined with SoC regimen possessed certain economic advantages. The results of one-way sensitivity analysis showed that the utility value of NYHA Ⅱ status， the drug price of finerenone， the discount rate， and the probability of hospital transfer for both groups had a great influence on ICER， but did not affect the robustness of the model. The probabilistic sensitivity analysis also confirmed the robustness of the model. CONCLUSIONS Under the WTP threshold set in this study， finerenone combined with SoC is cost-effective in the treatment of HFmrEF/HFpEF， compared with the SoC regimen.

BACKGROUND: The American Heart Association recently released a new cardiovascular health (CVH) metric, Life's Essential 8 (LE8), for health promotion. However, the association between LE8 scores and the risk of chronic kidney disease (CKD) remains uncertain. We aimed to explore the association of LE8 scores with new-onset CKD and examine whether socioeconomic deprivation and genetic risk modify this association. METHODS: A total of 286,908 participants from UK Biobank and without prior CKD were included between 2006 and 2010. CVH was categorized using LE8 scores: low (LE8 scores <50), moderate (LE8 scores ≥50 but <80), and high (LE8 scores ≥80). The study outcome was new-onset CKD, ascertained by data linkage with primary care, hospital inpatient, and death data. Cox proportional hazard regression models were used to investigate the association between CVH categories and new-onset CKD. RESULTS: During a median follow-up of 12.5 years, 8857 (3.1%) participants developed new-onset CKD. Compared to the low CVH group, the moderate (adjusted hazards ratio [HR], 0.50; 95% confidence interval [CI]: 0.47-0.53) and high CVH (adjusted HR, 0.31; 95% CI: 0.27-0.34) groups had a significantly lower risk of developing new-onset CKD. The population-attributable risk associated with high vs. intermediate or low CVH scores was 40.3%. Participants who were least deprived ( vs.  most deprived; adjusted HR, 0.75; 95% CI: 0.71-0.79) and with low genetic risk of CKD ( vs.  high genetic risk; adjusted HR, 0.89; 95% CI: 0.85-0.94) had a significantly lower risk of developing new-onset CKD. However, socioeconomic deprivation and genetic risks of CKD did not significantly modify the relationship between LE8 scores and new-onset CKD (both P -interaction >0.05). CONCLUSION Achieving a higher LE8 score was associated with a lower risk of developing new-onset CKD, regardless of socioeconomic deprivation and genetic risks of CKD.
Humans ; Renal Insufficiency, Chronic/epidemiology* ; Male ; Female ; Middle Aged ; Genetic Predisposition to Disease/genetics* ; Aged ; Risk Factors ; Adult ; Proportional Hazards Models ; Socioeconomic Factors