Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) in neck, shoulders and lower back among power grid workers. Methods A total of 371 workers from a power grid enterprise in Guangdong Province were selected as the research subjects using the convenience sampling method. A cross-sectional survey of WMSDs in the neck, shoulders and waist of the workers was conducted using the modified Musculoskeletal Disorders Questionnaire. Results The overall prevalence of WMSDs among the power grid workers was 62.8%, with prevalence of 37.2%, 33.7% and 32.1% for WMSDs in neck, shoulders and lower back, respectively. Binary logistic regression analysis showed that power grid workers who did not maintain a good sitting posture or were unable to maintain good sitting posture over prolonged periods had a higher risk of neck WMSDs than those who maintained a good sitting posture (both P<0.01). A higher frequency of head-down posture during work was associated with an increased risk of neck WMSDs (both P<0.05). Female workers had a higher risk of shoulder WMSDs than male workers (P<0.05). A higher frequency of early awakening with inability to fall back asleep, as well as a higher frequency of head-down posture during work, were both associated with an increased risk of shoulder WMSDs (all P<0.05). Workers with a sedentary habit had a higher risk of shoulder WMSDs than those without (P<0.01). Workers with insufficient rest time had a higher risk of shoulder WMSDs than those with sufficient rest time (P<0.01). Both maintenance workers and managers had a higher risk of lower back WMSDs than workers in other occupational categories (all P<0.05). Workers who experienced nocturnal awakening with difficulty falling back asleep at frequency of several times per year, ≥1 time /month, ≥1 time /week, had higher risk of lower back WMSDs than those who never experienced such problem (all P<0.05). Workers with a sedentary habit and those uncertain about having a sedentary habit both had a higher risk of lower back WMSDs than those without (both P<0.05). Greater forward neck flexion during work was associated with an increased risk of lower back WMSDs (both P<0.05). Workers who occasionally tilted their necks to the side while working had a higher risk of lower back WMSDs than those who did not (P<0.05). Conclusion WMSDs are highly prevalent among power grid workers, particularly affecting the neck, shoulder, and waist. Influencing factors include individual characteristics, behavioral habits, work organization, work posture, and workload. Maintaining proper posture and adequate rest may reduce the risk of WMSDs.

Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.

ObjectiveTo analyze the impact of diabetes-related deaths on the probability of premature mortality and life expectancy in Minhang District of Shanghai from 2004 to 2023, and to provide reference data for the optimization of targeted prevention and control strategies. MethodsAll death cases involving diabetes among the registered residents of Minhang District from 2004 to 2023 were collected. The probability of premature mortality and life expectancy was computed using the abridged life table method. The average annual percent change (AAPC) was calculated with Joinpoint 4.9.0.0. The Arriaga decomposition method was employed for statistical analyses of the influence of cause-specific and age-specific mortality related to diabetes on life expectancy. ResultsThe total number of diabetes-related mortality, crude mortality, and standardized mortality for both males and females in Minhang District from 2004 to 2023 exhibited an increasing trend (P<0.001). The primary causes of death among diabetes-related cases were cardiovascular disease (37.68%), diabetes mellitus (31.95%), and malignant tumor (17.80%). From 2004 to 2023, probability of premature mortality to diabetes-related diseases demonstrated a rising trend (P<0.001), contrasting with the declining trend observed in the overall population (P=0.001). Males showed a significant upward trajectory (P<0.001), while females displayed a stable pattern. Among the diseases exerting considerable influence, cardiovascular disease and malignant tumor revealed a marked increase over time (P<0.001), whereas diabetes mellitus maintained a stable trend; both factors negatively impacted the reduction in probability of premature mortality. From 2004 to 2023, diabetes-related mortality reduced life expectancy among residents by an average of 1.22 years (-49.89%), indicating a negative impact; the reduction was 1.41 years in males and 0.90 years in females. The age groups exhibiting greater negative contributions differed by genders, namely males aged 50‒54 years and females aged 70‒74 years. Cardiovascular disease, diabetes mellitus, and malignant tumor contributed significantly to this decline (-0.46 years, -0.42 years, -0.20 years, respectively), with male experiencing higher negative contributions than females. ConclusionIn Minhang District, the rising mortality associated with diabetes-related diseases negatively impact both the reduction of the probability of premature mortality and the increase in life expectancy. This trend is primarily attributed to the rapid escalation of mortality and younger age demographic of male residents, which warrants significant attention. It is recommended that, based on the enhancement of case management, efforts should be directed towards the targeted prevention and control of risk factors and high-risk populations.

Objective:To establish the quality standard of the standard decoction of wine-processed Coptidis Rhizoma by studying the extraction rate, fingerprint and component quantitative analysis.Methods:ccording to the Technical Requirements for Quality Control and Standard Formulation of Chinese Medicine Formula Granules, 15 batches of the standard decoction of wine-processed Coptidis Rhizoma were prepared, and the paste rate was determined; HPLC fingerprints of 15 batches of standard decoction of wine-processed Coptidis Rhizoma were established, and evaluated by combining similarity evaluation, clustering analysis, principal component analysis and orthogonal partial least squares discriminant analysis; the contents of berberine, epiberberine, pamadine, and safranine in the samples of the 15 batches were determined and analyzed their transfer rates.Results:A total of 15 batches of standard decoction samples were calibrated with 11 common peaks, referring to the recognition of 8 components. The similarity between the samples and the control product was greater than 0.900; the clustering analysis could cluster the 15 batches of samples into 2 classes; the results of the principal component analysis showed that the cumulative variance contribution rate of the 3 principal component factors was 89.388%; the OPLS-DA screened out the 3 components of the quality difference; the 15 batches of samples out of the paste rate was 15.7% -20.8%, and the mass fractions of berberine, epiberberine, safranine, and palmatine were 18.47%-24.38%, 2.82%-3.49%, 5.08%-6.69%, and 4.84%-6.68%, respectively, with transfer rates of 41.7%-61.7%, 46.9%-68.7%, 39.8%-61.5%, and 43.8%-65.2%.Conclusion:The fingerprint and content determination method established in this study is accurate, stable, simple, and can be used for the quality control and evaluation of the standard decoction of wine-processed Coptidis Rhizoma.

Objective To explore the impact of seasonal and temperature variations on fasting blood glucose(FPG)in patients with type 2 diabetes(T2DM).Methods A retrospective analysis was conducted on clinical data of 31 994 T2DM patients managed by community health service center in Minhang District,Shanghai,from January 1,2020 to October 31,2023.The effect of seasonal and temperature variations on FPG levels and blood glucose control was investigated in T2DM patients.Results A total of 72 334 FPG tests were conducted in 31 994 T2DM patients,with an average of 2.26 tests per person.The number of tests conducted in spring,summer,autumn and winter were 15 558,34 018,21 929 and 829,respectively.The FPG levels of T2DM patients were lower in summer and autumn compared to those of winter and spring(P<0.05),while the FPG control rates were higher in summer and autumn compared to those of winter and spring(Bonferroni-corrected,P<0.008).There were no significant differences in FPG levels and blood glucose control rates between spring and winter,or between summer and autumn.The results of the multilevel mixed-effect Logistic model analysis with FPG control status as the dependent variable revealed that the risk of uncontrolled FPG in T2DM patients during winter and spring was 47%(aOR=1.465,95%CI:1.156-1.855)and 51%(aOR=1.510,95%CI:1.384-1.645),respectively,which was higher than that of autumn.The levels of FPG and the incidence of FPG abnormalities reached peak in February and reached the trough in September.Both the FPG levels and the incidence of FPG abnormal exhibited a trend of increasing with the decrease of temperature,and with a lag effect observed.Spearman rank correlation test indicated that there was a negative correlation between FPG levels and incidence of abnormal FPG and the monthly average daily temperature one month lagged(rs=-0.951,P＜0.001 and rs=-0.944,P＜0.001).Conclusion FPG levels of T2DM patients exhibit a pronounced seasonal pattern of elevation during winter and spring,accompanied by a reduction in blood glucose control rates.FPG levels and the prevalence of abnormal FPG exhibit a negative correlation with the monthly average daily temperature,and there is a lag effect.

Objective:To investigate the impact of preoperative sarcopenia on chronic postsurgical pain(CPSP)after cardiac surgery in elderly patients.Methods:Elderly patients undergoing elective open-chest cardiac surgery at the Affiliated Hospital of Xuzhou Medical University from September 2022 to May 2024 were collected.According to the updated diagnostic criteria and revised by the Asian Working Group for Sarcopenia(AWGS2019)in 2019, patients were classified into sarcopenia and non-sarcopenia groups Elderly patients were divided into two groups based on the occurrence of chronic pain at 3 months postoperatively: CPSP group and non-CPSP group.Indicators with statistically significant differences in univariate regression analysis were included in multifactorial regression to analyze the influencing factors of chronic pain after cardiac surgery in elderly patients.The receiver operating characteristic(ROC)curve was plotted and the area under the curve(AUC)was calculated to compare the predictive efficacy of sarcopenia, commonly used clinical pain assessment tools(gender+ acute postoperative pain), and(gender+ acute postoperative pain+ sarcopenia)in predicting CPSP after cardiac surgery in elderly patients.Results:The study ultimately included 379 patients, consisting of 238 males(62.8%), with an average age of(66.6 ± 5.3)years.Among them, 83 patients had sarcopenia, and 119 patients developed CPSP.Univariate regression analysis showed that gender, history of atrial fibrillation, acute postoperative pain, American Society of Anesthesiologists(ASA)Physical Status Classification System, New York Heart Association(NYHA)Classification of Cardia Function, sarcopenia, and duration of extracorporeal circulation were associated with the occurrence of CPSP after cardiac surgery in elderly patients.However, after adjusting for all possible confounders, multifactorial regression analysis showed that gender, acute postoperative pain, and sarcopenia were independent risk factors for CPSP after cardiac surgery in elderly patients(all P<0.05), with sarcopenia patients having a 2.913-fold risk of developing CPSP compared with non-sarcopenia patients.The AUCs of the ROC curves for commonly used clinical perioperative pain assessment tools and those with the addition of sarcopenia determination were 0.731 and 0.802, respectively. Conclusions:Preoperative sarcopenia is an independent risk factor for the development of chronic pain after cardiac surgery in elderly patients, and the inclusion of sarcopenia determination in commonly used clinical pain assessment tools can significantly improve the predictive efficacy for chronic pain.

Background and Aims:Obesity is often accompanied by symptoms of disordered eating.Although bariatric metabolic surgery can alleviate these symptoms,there are significant individual differences in postoperative outcomes,and effective predictive indicators are lacking.Liver and kidney function,along with lipid profiles,are closely related to metabolic status and may serve as useful markers for preoperative risk stratification and prognosis prediction.This study was conducted to explore the relationship between preoperative metabolic indicators and symptoms of disordered eating,thereby identifying postoperative recovery patterns among obese patients to support individualized management strategies.Methods:A total of 41 obese patients who underwent sleeve gastrectomy at Shanghai Sixth People's Hospital between September 2020 and June 2023 were enrolled,along with 36 healthy volunteers recruited during the same period.Participants completed the Eating Disorder Inventory-2(EDI-2)questionnaire,and serum samples were collected to assess liver function,kidney function,and lipid levels prior to surgery.The Mantel test was used to analyze correlations between metabolic indicators and EDI-2 scores.Latent profile analysis(LPA)was conducted using the indicators significantly correlated with EDI-2 scores to identify subgroups within the obese cohort.Linear mixed models were then applied to examine the trajectories of postoperative symptom changes across subgroups.Results:Levels of cystatin C,cholinesterase,gamma-glutamyl transferase,triglycerides,and apolipoprotein E were significantly higher in the obese group compared to the healthy group(all P＜0.05),and EDI-2 total score was also significantly elevated(P＜0.05);the prealbumin level in the healthy group was significantly higher than that in the obese group(P＜0.05).These six indicators were positively correlated with EDI-2 score(all r＞0.20,P＜0.05).Based on these markers,the LPA classified the obese group into two subgroups,with subgroup 2 exhibiting higher levels of most metabolic indicators than subgroup 1.During the 18-month postoperative follow-up,both subgroups showed reductions in EDI-2 score,but symptom improvement in subgroup 2 occurred later(month 6)compared to subgroup 1(month 4).Conclusion:Preoperative levels of cholinesterase,gamma-glutamyl transferase,prealbumin,triglycerides,and apolipoprotein E may serve as predictive indicators for improvement in disordered eating symptoms.Recovery patterns after bariatric surgery vary among obese patients with different metabolic profiles,highlighting the need for tailored intervention strategies.

Background/Aims: Liver transplantation is the most effective treatment for the sickest patients with acute-on-chronic liver failure (ACLF). However, the influence of donor age on liver transplantation, especially in ACLF patients, is still unclear. Methods: In this study, we used the data of the Scientific Registry of Transplant Recipients. We included patients with ACLF who received liver transplantation from January 1, 2007, to December 31, 2017, and the total number was 13,857. We allocated the ACLF recipients by age intogroup I (donor age ≤17 years, n=647); group II (donor age 18–59 years, n=11,423); and group III (donor age ≥60 years, n=1,787). Overall survival (OS), graft survival, and mortality were com-pared among the three age groups and the four ACLF grades. Cox regression was also analyzed. Results: The 1-, 3-, and 5-year OS rates were 89.6%, 85.5%, and 82.0% in group I; 89.4%, 83.4%, and 78.2% in group II; and 86.8%, 78.4%, and 71.4% in group III, respectively (p<0.001).When we analyzed the different effects of donor age on OS with different ACLF grades, in groupsII and III, we observed statistical differences. Finally, the cubic spline curve told us that the relative death rate changed linearly with increasing donor age. Conclusions Donor age is related to OS and graft survival of ACLF patients after transplanta-tion, and poorer results were associated with elderly donors. In addition, different donor ages have different effects on recipients with different ACLF grades.