ObjectiveTo construct a prediction model for high responsiveness to short-term aerobic training in patients with Parkinson's disease (PD) based on dual-task gait assessment, and to provide evidence for identifying individuals who are most likely to benefit from such interventions. MethodsA total of 42 patients with PD who visited the outpatient clinic of Tianjin Huanhu Hospital between August 29, 2023 and December 19, 2024 were enrolled. All participants completed a 4-week home-based aerobic cycling training program and underwent dual-task gait assessments pre- and post-training. Patients were classified into high-response group (n = 12) and low-response group (n = 30) according to whether the improvement in gait speed reached the minimal clinically important difference of 0.1 m/s. The clinical validity of this grouping was verified by comparing differences in cardiopulmonary exercise testing parameters and dual-task gait indicators between the two groups pre- and post-training. Based on baseline characteristics, Firth's penalized maximum likelihood logistic regression was applied to construct a predictive model for high responsiveness, and the discriminative performance of the model was assessed preliminarily. ResultsThe high-response group showed significantly greater improvement in gait speed, step length, cadence and the anaerobic threshold to maximal oxygen uptake ratio after training compared with the low-response group (P < 0.05), confirming the clinical validity of the grouping. The baseline anaerobic threshold to maximal oxygen uptake ratio (OR = 3.348), body mass index (OR = 2.229) and age (OR = 0.428) demonstrated certain discriminative ability in the present sample. The area under the receiver operating characteristic curve was 0.831, with an overall prediction accuracy of 81.0%, specificity of 83.3% and sensitivity of 75.0%. Robustness of the model was confirmed via internal validation using the Bootstrap method, which suggested that the results were informative, but further validation was still required. ConclusionThe anaerobic threshold/maximal oxygen uptake ratio, body mass index and age may predict the response to short-term aerobic training in patients with PD.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） constitution and factors associated with hyperuricemia （HUA） in the HUA population， providing a reference for persona-lized prevention and management of HUA. MethodsA cross-sectional study was conducted among individuals who had completed both serum uric acid （SUA） testing and TCM constitution identification during health examinations. According to SUA levels， participants were divided into a hyperuricemia group and a normal SUA group； according to the constitution identification results， participants were classified into balanced constitution， single biased constitution， and mixed constitution. The distribution characteristics of TCM constitution were compared between the two groups； participants in the hyperuricemia group were stratified by sex and age （≥18 years and ＜40 years， ≥40 years）， and the distribution characteristics of TCM constitution were compared across different sex and age groups. Logistic regression was used to analyze factors associated with HUA， with further stratified analyses by sex and age. ResultsA total of 10 920 participants were included， comprising 4170 cases （38.19%） in the hyperuricemia group and 6750 cases （61.81%） in the normal serum uric acid group. According to TCM constitution， there were 420 cases （3.85%） with balanced constitution， 6108 cases （55.93%） with single biased constitution， and 4392 cases （40.22%） with mixed constitution. In the hyperuricemia group， there were 80 cases （19.05%） with balanced constitution； 2275 cases （37.25%） with single biased constitution， among which damp-heat constitution （1205 cases， 52.97%）， phlegm-dampness constitution （500 cases， 21.98%）， and qi-stagnation constitution （181 cases， 7.96%） accounted for relatively high proportions； and 1815 cases （41.33%） with mixed constitution， among which mixed constitution involving phlegm-dampness （51.35%， 932 cases）， mixed constitution involving blood stasis （47.00%， 853 cases）， and mixed constitution involving damp-heat （41.21%， 748 cases） accounted for relatively high proportions. Logistic regression showed that qi-stagnation constitution （OR=1.68）， mixed constitution involving qi-stagnation （OR=1.53）， mixed constitution involving phlegm-dampness （OR=1.55）， and mixed constitution involving blood stasis （OR=1.50） were independently associated with HUA （P＜0.05）. Sex-stratified analysis showed that mixed constitution involving phlegm-dampness was positively associated with HUA risk in females； age-stratified analysis showed that， among individuals aged ≥18 and ＜40 years， qi-stagnation constitution， mixed constitution involving qi stagnation， and mixed constitution involving phlegm-dampness were positively associated with HUA risk （all P＜0.05）. ConclusionThe prevalence of HUA differs markedly by sex and age. Mixed constitution accounts for a higher proportion of HUA patients. Qi-stagnation constitution， mixed constitution involving qi stagnation， mixed constitution involving phlegm-dampness， and mixed constitution involving blood stasis are associated with HUA. Notably， the specific association of mixed constitution involving phlegm-dampness in females and qi-stagnation constitution in young adults is particularly prominent.

ObjectiveTo explore the impacts of material type and loading volume of rigid containers on the hydrogen peroxide low temperature plasma sterilization of thoracoscopic instruments, to identify the best rigid containers and loading volume of thoracoscopic instruments. MethodsThoracoscopic instruments sterilized by STERRAD^® 100NX hydrogen peroxide low temperature plasma in Shanghai Pulmonary Hospital affiliated to Tongji University from August to September 2024 were selected as the research items. According to the material of rigid containers, the instruments were divided into polyethylene case group (A), stainless steel case group (B) and silicone resin case group (C). In terms of the loading volume, the rigid containers were divided into (loading capacity <80%) groups of 8, 10 and 12 instruments. The results of physical monitoring, the first type of chemical indicator card monitoring, and the five types of card luminal chemical process challenge device (PCD) monitoring of the 9 groups of A8, A10, A12, B8, B10, B12, C8, C10 and C12 were compared and evaluated. ResultsCompared to A8, A10 A12, C8, C10 or C12 groups, the thoracoscope instruments in the stainless steel containers in B8, B10 or B12 group had higher hydrogen peroxide concentrations and shorter elapsed time in the pressure check phases 1 and phases 2, with the differences statistically significant (P<0.05), followed by the silicone resin case group and the polyethylene case group. The nine groups of physical parameter monitoring, the first type of chemical indicator monitoring, and the five types of chemical PCD monitoring for lumen sterilization achieved 100% qualification rates, and there were no significant differences in the qualified rates of sterilization among the 9 groups (P>0.05). ConclusionWhen using hydrogen peroxide low temperature plasma to sterilize thoracoscopic instruments, it is recommended to use stainless steel or silicone resin rigid containers with a controlled loading capacity (≤12) to ensure optimal sterilization quality.

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

OBJECTIVE: To explore the relationship between serum chloride levels and prognosis in patients with hepatic coma in the intensive care unit (ICU). METHODS: We analyzed 545 patients with hepatic coma in the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Associations between serum chloride levels and 28-day and 1-year mortality rates were assessed using restricted cubic splines (RCSs), Kaplan-Meier (KM) curves, and Cox regression. Subgroup analyses, external validation, and mechanistic studies were also performed. RESULTS: A total of 545 patients were included in the study. RCS analysis revealed a U-shaped association between serum chloride levels and mortality in patients with hepatic coma. The KM curves indicated lower survival rates among patients with low chloride levels (< 103 mmol/L). Low chloride levels were independently linked to increased 28-day and 1-year all-cause mortality rates. In the multivariate models, the hazard ratio ( HR) for 28-day mortality in the low-chloride group was 1.424 (95% confidence interval [ CI]: 1.041-1.949), while the adjusted hazard ratio for 1-year mortality was 1.313 (95% CI: 1.026-1.679). Subgroup analyses and external validation supported these findings. Cytological experiments suggested that low chloride levels may activate the phosphorylation of the NF-κB signaling pathway, promote the expression of pro-inflammatory cytokines, and reduce neuronal cell viability. CONCLUSION Low serum chloride levels are independently associated with increased mortality in patients with hepatic coma.
Humans ; Male ; Female ; Middle Aged ; Intensive Care Units ; Prognosis ; Chlorides/blood* ; Aged ; Coma/blood* ; Adult

PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors

To evaluate long-term survival and clinical outcomes of patients with knee osteo-arthritis undergoing total knee arthroplasty (TKA) through long-term follow-up.

OBJECTIVE To provide medication reference for duloxetine use in clinical settings， particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set （196 cases） and test set （85 cases） in the ratio of 7∶3. Feature selection was performed by encapsulating random forests （RF） with recursive feature elimination. Four machine learning algorithms， namely support vector machine， RF， extreme gradient boosting （XGBoost） and artificial neural network， were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination （R2）， mean absolute error （MAE） and root mean squared error （RMSE）. The feature of the selected optimal model was explained by Shapley additive explanation method， and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected， including age， ethnicity， body mass index（BMI）， etc. XGBoost showed the highest R2 （0.808）， and the lowest MAE （7.644） and RMSE （10.808）. The ranking of feature importance for predicting the blood concentration of duloxetine was as follows： BMI＞age＞other 20 feature sets （including liver and kidney function and biochemical indicators）＞daily dosage＞comorbidities＞combination therapy＞ethnicity＞white blood cell count＞hemoglobin＞height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration； BMI and age have a greater impact on the prediction of duloxetine blood concentration.

Objective:To assess the trends in the burden of periodontal disease among individuals aged 60 years and above in China from 1990 to 2021, thereby providing a scientific foundation for the development of targeted prevention and control strategies for periodontal disease in the elderly.Methods:Utilizing data from the Global Burden of Disease Study 2021 (GBD 2021), key indicators including incidence, prevalence, and disability-adjusted life years (DALY) rates were analyzed. Age-standardized rates were determined using the global standard population. Trends in the disease burden of periodontal disease among the elderly population in China from 1990 to 2021 were analyzed using Joinpoint regression analysis, and an autoregressive integrated moving average (ARIMA) model was applied to forecast the disease burden from 2022 to 2036.Results:The annual average percentage changes (AAPC) in the number of incident cases, prevalent cases, and DALYs due to periodontal disease among individuals aged 60 years and above in China from 1990 to 2021 were 3.215% (95% CI: 3.149%-3.281%, P<0.05), 3.161% (95% CI:3.037%-3.286%, P<0.05), and 3.091%(95% CI: 2.887%-3.296%, P<0.05), respectively. The results indicated that the average annual change trends of the number of incident cases, number of prevalent cases, and number of DALYs were real upward trends. Compared with other age groups, the number of incident cases, prevalent cases, and DALYs were the highest among the population aged 60-69 years. The AAPC for age-standardized incidence rate, prevalence, and DALY rates were -0.012% (95% CI:-0.031%-0.008%, P>0.05), 0.023% (95% CI:-0.070%-0.116%, P>0.05), and 0.013% (95% CI:-0.089%-0.115%, P>0.05), respectively. This indicated that the average annual change trends of the age-standardized incidence rate, age-standardized prevalence rate, and age-standardized DALY rate might be caused by random fluctuations. Males exhibited higher prevalence and DALY rates than females across all age groups ( P<0.05), whereas the incidence rates showed minimal differences between males and females across all age groups. The ARIMA forecast model indicated that the age-standardized incidence rate among males in the elderly population in China was relatively stable, while that among females showed a downward trend; the age-standardized prevalence and DALY rates followed a pattern of "decline-rise-decline". Conclusions:The disease burden of periodontal disease among Chinese adults aged 60 and above showed an overall upward trend from 1990 to 2021, with males and individuals aged 60-69 identified as high-risk groups. With the exacerbation of aging, the prevention and control situation remains severe, necessitating the implementation of gender-differentiated interventions to reduce the disease burden.

Case managers, as a type of advanced practice nurses, can not only fully meet patient needs and improve patient outcomes, but also innovate nurses′ workplaces and provide nurses with new directions for career development. This article provides an overview of the origin and development of case managers at home and abroad, their practice models, role responsibilities, current training status, current certification status, and current application status, and puts forward suggestions such as the development of practice standards for case managers, and the establishment of a standardized training system and certification body, with a view to providing references for the development of case managers in China.