BackgroundObstructive sleep apnea （OSA） represents a prevalent sleep disordered breathing condition characterized by complex pathophysiology. The arousal threshold （ArTH）， a core non-anatomical contributor to OSA pathogenesis， is intimately tied to the disease severity and clinical phenotypes. To date， research regarding factors associated with ArTH has yielded inconsistent findings， and ArTH profiles and disparities across populations with different genetic backgrounds are not fully elucidated. ObjectiveTo explore the differences of ArTH in OSA patients with different genetic backgrounds and analyze the key factors affecting ArTH， thereby providing evidence for understanding OSA pathophysiology and formulating targeted treatment regimens. MethodsA total of 285 patients who met the diagnostic criteria for OSA， as defined by the Multidisciplinary Diagnosis and Treatment Guidelines for Adult Obstructive Sleep Apnea， were retrospectively enrolled in this study. All participants underwent overnight polysomnography （PSG） at the Sleep Medicine Center of Inner Mongolia Mental Health Center from December 2022 to May 2024. Based on the study design， the cohort was stratified into two distinct genetic background subgroups （group A and group B）. Demographic and clinical characteristics， the Epworth Sleepiness Scale （ESS） score， and overnight PSG data were collected. The apnea hypopnea index （AHI）， the lowest pulse oxygen saturation （LSpO₂）， and fraction of hypopneas （F_Hypopneas） were utilized as surrogate indicators to estimate ArTH in OSA patients. The influencing factors of low ArTH were tested by binary Logistic regression analysis. ResultsAmong the 285 OSA patients， there were 227 cases （79.65%） in group A and 58 cases （20.35%） in group B. Comparisons between the two genetic background subgroups revealed no statistically significant differences in the proportion of low ArTH， ESS score， PSG parameters， and the three markers for low ArTH （AHI<30 events/h， LSpO₂>82.5%， F_Hypopneas>58.3%） （P>0.05）. Binary Logistic regression analysis identified sex （OR=2.421， 95% CI： 1.070–5.478）， BMI （OR=0.847， 95% CI： 0.770–0.932）， N1 sleep duration （OR=0.974， 95% CI： 0.963–0.985）， and hypertension （OR=0.348， 95% CI： 0.143–0.848） as independent factors associated with low ArTH in the total cohort. Stratified analysis by genetic backgrounds revealed that sex（OR=3.799， 95% CI： 1.389–10.392）， BMI（OR=0.819， 95% CI：0.723–0.929）， and N1 sleep duration（OR=0.973， 95% CI： 0.961–0.986） were independent factors of low ArTH in group A. In contrast， only N1 sleep duration （OR=0.951， 95% CI： 0.911–0.993） remained a significant factor in group B. ConclusionArthur may have conservative characteristics in patients with OSA with different genetic backgrounds， but the pathophysiological mechanism of OSA may have population heterogeneity. ［Funded by Inner Mongolia Autonomous Region Natural Science Fundation Project （number， 2024QN08050）； Intra-institutional Scientific Research Project of Inner Mongolia Mental Health Center （number， 2022QNWN0010）］

Objective:To construct a questionnaire to measure parents′ behavioral and social drivers (BeSD) in administering rotavirus vaccine to their children, and to test the reliability and validity of the questionnaire.Methods:A questionnaire was constructed to investigate the BeSD of rotavirus vaccination among parents based on the WHO BeSD questionnaire. A survey was conducted among parents of children aged 0-3 years old in vaccination clinics from 15 community health service centers in Nanjing City of Jiangsu Province, Yuhuan and Kaihua Counties of Zhejiang Province, Anqing City of Anhui Province, and Yangpu District of Shanghai City from April to May in 2024. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to analyze the reliability (internal consistency reliability, combination reliability and split half reliability) and validity (structural validity, convergence validity and discriminative validity) of the questionnaire.Results:A total of 850 questionnaires were collected, of which 614 were valid, with an effective response rate of 72.20%. The EFA resulted in the refinement of the rotavirus vaccine BeSD questionnaire from 37 to 35 items (including 24 core items), and suggested a five-factor structure including the perceptions of vaccine, confidence in vaccine, social process of vaccination, motivation for vaccination, and practical problems of vaccination. The cumulative variance contribution rate reached 56.27%. The CFA confirmed an ideal five-factor model fit (GFI=0.82,CFI=0.86,PNFI=0.67,RMSEA=0.07). The AVE of each dimension was greater than 0.50. The AVE square root of each dimension of the questionnaire was greater than its correlation coefficient. The Cronbach′s α coefficient of the total questionnaire was 0.79.Conclusion:The developed BeSD questionnaire of rotavirus vaccine has good reliability and validity, and can be used to measure parents′ behavioral and social factors in administering rotavirus vaccine to their children.

Objective This study aimed to adapt the data-driven Palliative Care Outcomes Collaboration(PCOC)model to the local context and evaluate its feasibility and preliminary effectiveness in a palliative care unit in China,with the goal of informing its broader integration into national palliative care practice.Methods Based on international experience,a localized implementation protocol for the PCOC model was developed through expert con-sultations and a pilot study.The protocol incorporated key elements including organizational and managerial sup-port,team training and capacity building,information system integration,supervision and feedback mechanisms,pro-cess optimization,and data-driven decision-making.From June to December 2023,the protocol was piloted in the palliative care unit of a tertiary cancer hospital in Changsha,China.Implementation outcomes were assessed by comparing patients' urgent care response rates,symptom stability rates,and symptom improvement rates between the first 1～3 months and 4～6 months after implementation.Results During the study period,a total of 355 inpatients were enrolled,with the PCOC assessment achieving full coverage(100％)and a completion rate of 97.78％.There was no statistically significant difference in the urgent needs response rate between the first 1～3 months and the 4～6 months after the implementation of the PCOC model(P=0.533).However,compared to the first 1～3 months af-ter implementation,patients in the 4～6 months period showed significantly higher symptom stability rates for pain,psychological/spiritual issues,and family/caregiver problems,as well as a higher improvement rate for pain(P＜0.05).Conclusion The localized PCOC implementation protocol facilitates standardized assessment and symptom manage-ment,and its application can enhance the quality of palliative care.

Objective:To construct a questionnaire to measure parents′ behavioral and social drivers (BeSD) in administering rotavirus vaccine to their children, and to test the reliability and validity of the questionnaire.Methods:A questionnaire was constructed to investigate the BeSD of rotavirus vaccination among parents based on the WHO BeSD questionnaire. A survey was conducted among parents of children aged 0-3 years old in vaccination clinics from 15 community health service centers in Nanjing City of Jiangsu Province, Yuhuan and Kaihua Counties of Zhejiang Province, Anqing City of Anhui Province, and Yangpu District of Shanghai City from April to May in 2024. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to analyze the reliability (internal consistency reliability, combination reliability and split half reliability) and validity (structural validity, convergence validity and discriminative validity) of the questionnaire.Results:A total of 850 questionnaires were collected, of which 614 were valid, with an effective response rate of 72.20%. The EFA resulted in the refinement of the rotavirus vaccine BeSD questionnaire from 37 to 35 items (including 24 core items), and suggested a five-factor structure including the perceptions of vaccine, confidence in vaccine, social process of vaccination, motivation for vaccination, and practical problems of vaccination. The cumulative variance contribution rate reached 56.27%. The CFA confirmed an ideal five-factor model fit (GFI=0.82,CFI=0.86,PNFI=0.67,RMSEA=0.07). The AVE of each dimension was greater than 0.50. The AVE square root of each dimension of the questionnaire was greater than its correlation coefficient. The Cronbach′s α coefficient of the total questionnaire was 0.79.Conclusion:The developed BeSD questionnaire of rotavirus vaccine has good reliability and validity, and can be used to measure parents′ behavioral and social factors in administering rotavirus vaccine to their children.

Objective This study aimed to adapt the data-driven Palliative Care Outcomes Collaboration(PCOC)model to the local context and evaluate its feasibility and preliminary effectiveness in a palliative care unit in China,with the goal of informing its broader integration into national palliative care practice.Methods Based on international experience,a localized implementation protocol for the PCOC model was developed through expert con-sultations and a pilot study.The protocol incorporated key elements including organizational and managerial sup-port,team training and capacity building,information system integration,supervision and feedback mechanisms,pro-cess optimization,and data-driven decision-making.From June to December 2023,the protocol was piloted in the palliative care unit of a tertiary cancer hospital in Changsha,China.Implementation outcomes were assessed by comparing patients' urgent care response rates,symptom stability rates,and symptom improvement rates between the first 1～3 months and 4～6 months after implementation.Results During the study period,a total of 355 inpatients were enrolled,with the PCOC assessment achieving full coverage(100％)and a completion rate of 97.78％.There was no statistically significant difference in the urgent needs response rate between the first 1～3 months and the 4～6 months after the implementation of the PCOC model(P=0.533).However,compared to the first 1～3 months af-ter implementation,patients in the 4～6 months period showed significantly higher symptom stability rates for pain,psychological/spiritual issues,and family/caregiver problems,as well as a higher improvement rate for pain(P＜0.05).Conclusion The localized PCOC implementation protocol facilitates standardized assessment and symptom manage-ment,and its application can enhance the quality of palliative care.

BACKGROUND: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions. METHODS: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs). RESULTS: The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks. CONCLUSIONS DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans ; Global Burden of Disease ; Risk Factors ; Male ; Female ; Disability-Adjusted Life Years ; Diabetic Nephropathies/epidemiology* ; Middle Aged ; Diabetes Mellitus, Type 2/epidemiology* ; Adult ; Diabetes Mellitus, Type 1/complications* ; Aged ; Adolescent ; Young Adult ; Quality-Adjusted Life Years

Objective To analyze the value of heparin-binding protein(HBP)and interleukin-17A(IL-17A)levels in bronchoalveolar lavage fluid in predicting prognosis of elderly patients with se-vere pneumonia.Methods A total of 105 elderly patients with severe pneumonia in the hospital from May 2022 to May 2024 were selected and divided into death group(n=32)and survival group(n=73)based on their survival outcomes within 28 days after admission.The levels of HBP and IL-17A in bronchoalveolar lavage fluid were compared between the two groups;the Logistic regression analysis was conducted to explore the influencing factors for prognosis in elderly patients with severe pneumoni-a;the receiver operating characteristic(ROC)curve was plotted to analyze the predictive efficiencies of HBP and IL-17A in bronchoalveolar lavage fluid for the prognosis of elderly patients with severe pneumonia.Results The levels of HBP and IL-17A in bronchoalveolar lavage fluid in the death group were significantly higher than those in the survival group(P＜0.01).There were significant differ-ences in the Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score and blood lac-tate(Lac)level between the two groups(P＜0.01).Logistic regression analysis showed that HBP(OR=3.084,95％CI,1.326 to 4.694),IL-17A(OR=4.521,95％CI,2.164 to 7.841),APACHE Ⅱscore(OR=2.039,95％CI,1.069 to 2.859),and Lac(OR=2.627,95％CI,1.168 to 3.058)were influencing factors for the prognosis of elderly patients with severe pneumonia(P＜0.05).When the optimal cut-off values were set at 15.92 ng/mL for HBP and 109.34 pg/mL for IL-17A,the area under the curve(AUC)for the combined prediction of prognosis by HBP and IL-17A in bronchoalveolar lavage fluid was 0.852,with a 95％CI of 0.801 to 0.948.The AUC for the com-bined prediction of prognosis by HBP and IL-17A in bronchoalveolar lavage fluid was significantly higher than that for single tests(Z=2.906,2.416,P=0.007,0.014).Conclusion Increased levels of HBP and IL-17A in bronchoalveolar lavage fluid,decreased APACHE Ⅱ score,and in-creased Lac are influencing factors for the prognosis of elderly patients with severe pneumonia.Com-bined detection of HBP and IL-17A in bronchoalveolar lavage fluid has high sensitivity in predicting the prognosis of elderly patients with severe pneumonia.

Objective:This study aimed to investigate the correlation between the ingested dose of amlodipine and the severity of shock in affected patients by analyzing clinical data from documented cases.Methods:This study respectively included adult patients treated for amlodipine poisoning-induced shock at the emergency department of Peking University Third Hospital between January 2018 and December 2022. Additionally, cases reported in the literature from January 1997 to December 2022 were also included. Patients were categorized into two groups: non-refractory shock and refractory shock. Statistical analysis was conducted on the data between the two groups.Results:This study included a total of 80 patients, with 37 experiencing non-refractory shock patients and 43 presenting with refractory shock patients. Significant differences were observed between the two groups in terms of sex distribution ( P=0.037) and the ingested amlodipine dose ( P=0.001). Through binary logistic regression analysis, the amlodipine dose was identified as an independent predictor of shock severity ( OR=1.43, 95% CI: 1.12-1.84, P=0.005). A subgroup analysis was performed on patients who were poisoned by ingesting amlodipine alone, further confirming the significant dose difference ( P=0.003) between the non-refractory shock and refractory shock categories. The area under the receiver operating characteristic curve (AUC) for predicting refractory shock in patients with amlodipine poisoning was 0.723 (95% CI: 0.613-0.833). The optimal cutoff dose for predicting refractory shock was 347.5 mg, with a sensitivity of 0.651 and a specificity of 0.784. Sensitivity analyses, excluding cases of mixed poisoning, yielded a higher AUC of 0.795 (95% CI: 0.634-0.956), with a slightly adjusted cutoff dose of 350 mg, a sensitivity of 0.867, and a specificity of 0.737. The dose-response relationship table between medication dosage and incidence of refractory shock shows that as the dosage increases, the proportion of refractory shock also increases. Conclusions:In adult patients with amlodipine poisoning, the severity of shock was correlated with the ingested dose of the drug. When the ingested amlodipine dose exceeds 347.5 mg, it is crucial to be cautious of the development of refractory shock.

Occupational pneumoconiosis remains the most common occupational disease in China, with occupational mineral dust exposure being its primary causative factor. Although national standards for online monitoring and early warning systems of coal mine dust concentrations have been established, national occupational health standards for rapid and online monitoring of dust concentration and particle size distribution in other industries are still limited. Among dust concentration sensor technologies, the light scattering method is the preferred choice for online dust monitoring owing to its wide measurement range and low cost. The beta-ray absorption method is mature but highly sensitive to humidity. The electrostatic induction method offers high sensitivity, simple structure, and low maintenance costs but exhibits high errors in low-concentration dust monitoring. The tapered element oscillating microbalance method is highly sensitive but costly. Multi-sensor data fusion technology can improve monitoring reliability, however, mature domestic products are not yet available. For monitoring dust particle size distribution, sieving and sedimentation methods are cumbersome. The aerodynamic method shows broad prospects in the online monitoring of respirable dust but has obvious measurement errors for larger dust particles. The use of optical measurement method is limited by dust morphology and is not suitable for monitoring coal dust particle size distribution. The electrical mobility method is primarily applicable to submicron dust. Future research should focus on promoting the application of monitoring technology for respirable dust particle size distribution in online monitoring of industrial dust. By integrating Internet of Things, data mining, and artificial intelligence technologies, along with multi-sensor data fusion and numerical simulation, dust concentration prediction models can be established to achieve accurate dust concentration monitoring and early warning of exceedances. The advancements of technologies will provide scientific support for the assessment of industrial dust hazards and the prevention and control of occupational pneumoconiosis.

Objective To construt and validate a risk prediction model for hepatocellular carcinoma(HCC)in patients with chronic liver disease based on age-male-ALBI-platelets(aMAP)score combined with RAR and PIV.Methods A total of 143 patients with chronic liver disease were divided into the HCC group(32 cases)and the non-HCC group(111 cases)according to whether HCC occurred.General clinical data,aMAP score and peripheral blood indicator level were compared between two groups.Multivariate Logistic regression was used to analyze influencing factors of HCC in inpatients with chronic liver disease.A nomogram risk prediction model was constructed and validated.Results Compared with the non-HCC group,there were higher age,higher proportion of males,higher levels of total bilirubin(TBIL),red blood cell distribution width(RDW),neutrophil count(NEU)and monocyte count(MON),lower levels of albumin(ALB)and lymphocyte count(LYM),higher levels of aMAP score,RDW to ALB(RAR)and pan-immune inflammation value(PIV)in the HCC group(P＜0.05).Multivariate Logistic regression showed that higher levels of aMAP score,RAR and PIV were independent risk factors for HCC in inpatients with chronic liver disease(P＜0.05).The area under receiver operator characteristic(ROC)curve(AUC)of the nomogram risk prediction model constructed based on above factors was 0.823(95%CI:0.747-0.899).The calibration curve showed that the predicted value was basically consistent with the actual observed value,and the Brier score was 0.125.The decision curve showed that the model had a clear positive net benefit.The AUC of internal validation of the prediction model by Bootstrap method was 0.823(95%CI:0.820-0.825),indicating that the model had a good degree of differentiation.Conclusion The nomogram risk prediction model based on aMAP score,RAR and PIV showed a good predictive performance of HCC in patients with chronic liver disease,which could benefits the individualized treatment and follow-up.