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）］

The occurrence and progression of diseases constitute a complex dynamic process, and cross-sectional data from a single time point are insufficient to fully characterize their evolutionary patterns. In contrast, longitudinal time-series data can capture the dynamic evolution of diseases over time, which is key to achieving precise disease prediction. In recent years, breakthroughs in deep learning have driven significant progress in intelligent predictive models based on longitudinal time-series data. However, challenges inherent to such data-including irregular sampling, high missing rates, and heterogeneity-also impose specific requirements on model design. This paper provides a systematic review of research advances in intelligent models for disease prediction based on time-series data. We conduct an in-depth analysis from three perspectives: data processing and representation, representative model architectures, and time-series modeling strategies, aiming to provide a reference for building more efficient and robust longitudinal disease prediction models.

Objective:To analyze the influencing factors of China′s DRG payment system reform(DRG reform) and its hierarchical relationship, for references for the in-depth promotion of China′s medical insurance payment reform.Methods:Relevant literature on DRG reform in China from databases such as CNKI, Wanfang Database, Pubmed, etc, were obtained. Content analysis method was used to extract the influencing factors of DRG reform. The correlation between each influencing factor was determined through expert discussion. An interpretive structural model(ISM) was constructed to analyze the hierarchical relationship of factors influencing DRG reform.Results:After analysis, the influencing factors(12) of DRG reform in China were included such as medical level, hospital management, and medical staff′s cognition and behavior. Among them, the local situation was the deep-level factor affecting DRG reform, 9 factors such as data quality assurance and policy design/implementation were the middle-level factors, and patients′ interests/needs and disease grouping were the surface-level factors.Conclusions:There were many influencing factors on the reform of China′s DRG payment system. It was suggested that relevant management departments in various regions should focus on the actual situation of the locality, take data quality and policy design and implementation as the key points of reform, formulate a scientific and reasonable DRG grouping scheme, safeguard the interests of patients, so as to promote the deepening of DRG reform.

Objective To investigate the effects of different administration times on the efficacy and safety of subcutaneous immunotherapy using dual mite extracts in patients with allergic rhinitis(AR).Methods This study was designed as a retrospective cohort analysis.Thirty-nine mite-sensitized AR patients who completed three years of standardized dual-mite subcutaneous immunotherapy(SCIT)were included.Based on self-selected and consistently maintained injection schedules,patients were non-randomly assigned to either a morning dosing group(MD group,8:00-12:00,n=19)or an afternoon dosing group(AD group,14:00-18:00,n=20),with further subgroup stratification conducted at 2-hour intervals.Nasal and ocular symptoms were evaluated before and after treatment using the visual analog scale(VAS),and all adverse reactions were systematically recorded.Results The AD group exhibited significantly greater improvement in nasal itching compared to the MD group(median difference:-2 vs.0,U=118.5,P=0.04,effect size r=0.33).The AD group also demonstrated favorable trends toward improved sneezing,nasal congestion,rhinorrhea,and total VAS score,although these differences did not reach statistical significance.In the subgroup analysis by 2-hour intervals,the 16:00-18:00 subgroup showed greater symptom relief than the 8:00-10:00 subgroup,though the difference was not statistically significant.No significant differences were observed between the two groups in the incidence of total,local,or systemic adverse reactions(P>0.05),and no moderate or severe systemic adverse events occurred.Conclusions This preliminary retrospective analysis indicates that afternoon administration of dual-mite SCIT,particularly between 16:00 and 18:00,may enhance the improvement of nasal symptoms without elevating safety concerns.The timing of SCIT administration could therefore represent a promising avenue for treatment optimization.

In comparison with other malignancies,the diagnosis and treatment of primary breast cancer are relatively mature.However,the clinical management of breast cancer bone metastasis primarily relies on drugs,but this approach struggles to completely eliminate tumor cells and is often accompanied by drug resistance,leading to osteolytic destruction and aggressive tumor proliferation,severely compromising patients' quality of life and survival.Previous studies have focused primarily on breast cancer cells themselves,with less attention paid to how they exploit the protective mechanisms of the bone microenvironment to resist drug therapy.The study reviews the relevant literature to explore the role of the bone microenvironment in the development of drug resistance in breast cancer bone metastasis,hoping to provide new insights into the treatment of breast cancer bone metastasis.

OBJECTIVE: To compare the therapeutic efficacy of portal and tail vein transplantation of bone marrow-derived mesenchymal stem cells (BMSCs) against cholestatic liver fibrosis in mice. METHODS: BMSCs were isolated and co-cultured with starvation-activated hepatic stellate cells (HSCs). HSC activation markers were identified using immunofluorescence and qRT-PCR. BMSCs were injected into the liver tissues of bile duct ligation (BDL) mice via the tail and portal veins. Histomorphology, liver function, inflammatory cytokines, and the expression of key proteins were all determined in the liver tissues. RESULTS: BMSCs inhibited HSC activation by reducing α-SMA and collagen I expression. Compared to tail vein injection, DIL-labeled BMSCs injected through the portal vein maintained a high homing rate in the liver. Moreover, BMSCs transplanted through the portal vein resulted in greater improvement in liver color, hardness, and gallbladder size than did those transplanted through the tail vein. Furthermore, BMSCs injected by portal vein, but not tail vein, markedly ameliorated liver function, reduced the secretion of inflammatory cytokines, including TNF-α, IL-6, and IL-1β, and decreased α-SMA + hepatic stellate cell (HSC) activation and collagen fiber formation. CONCLUSION The therapeutic effect of BMSCs on cholestatic liver fibrosis in mice via portal vein transplantation was superior to that of tail vein transplantation. This comparative study provides reference information for further BMSC studies focused on clinical cholestatic liver diseases.
Animals ; Mice ; Mesenchymal Stem Cell Transplantation ; Liver Cirrhosis/etiology* ; Male ; Cholestasis/therapy* ; Mice, Inbred C57BL ; Hepatic Stellate Cells ; Mesenchymal Stem Cells

OBJECTIVE: This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies. METHODS: Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model. RESULTS: A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide. CONCLUSION High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology* ; China/epidemiology* ; Humans ; Risk Factors ; Spatio-Temporal Analysis ; Air Pollutants/analysis* ; Socioeconomic Factors ; Bayes Theorem ; Female ; Male ; Middle Aged

Objective To investigate the effects of different administration times on the efficacy and safety of subcutaneous immunotherapy using dual mite extracts in patients with allergic rhinitis(AR).Methods This study was designed as a retrospective cohort analysis.Thirty-nine mite-sensitized AR patients who completed three years of standardized dual-mite subcutaneous immunotherapy(SCIT)were included.Based on self-selected and consistently maintained injection schedules,patients were non-randomly assigned to either a morning dosing group(MD group,8:00-12:00,n=19)or an afternoon dosing group(AD group,14:00-18:00,n=20),with further subgroup stratification conducted at 2-hour intervals.Nasal and ocular symptoms were evaluated before and after treatment using the visual analog scale(VAS),and all adverse reactions were systematically recorded.Results The AD group exhibited significantly greater improvement in nasal itching compared to the MD group(median difference:-2 vs.0,U=118.5,P=0.04,effect size r=0.33).The AD group also demonstrated favorable trends toward improved sneezing,nasal congestion,rhinorrhea,and total VAS score,although these differences did not reach statistical significance.In the subgroup analysis by 2-hour intervals,the 16:00-18:00 subgroup showed greater symptom relief than the 8:00-10:00 subgroup,though the difference was not statistically significant.No significant differences were observed between the two groups in the incidence of total,local,or systemic adverse reactions(P>0.05),and no moderate or severe systemic adverse events occurred.Conclusions This preliminary retrospective analysis indicates that afternoon administration of dual-mite SCIT,particularly between 16:00 and 18:00,may enhance the improvement of nasal symptoms without elevating safety concerns.The timing of SCIT administration could therefore represent a promising avenue for treatment optimization.

In comparison with other malignancies,the diagnosis and treatment of primary breast cancer are relatively mature.However,the clinical management of breast cancer bone metastasis primarily relies on drugs,but this approach struggles to completely eliminate tumor cells and is often accompanied by drug resistance,leading to osteolytic destruction and aggressive tumor proliferation,severely compromising patients' quality of life and survival.Previous studies have focused primarily on breast cancer cells themselves,with less attention paid to how they exploit the protective mechanisms of the bone microenvironment to resist drug therapy.The study reviews the relevant literature to explore the role of the bone microenvironment in the development of drug resistance in breast cancer bone metastasis,hoping to provide new insights into the treatment of breast cancer bone metastasis.

Objective To investigate the expression of Excision repair cross-complementation group 6-like(ERCC6L)in non-small cell lung cancer(NSCLC),and evaluate its prognostic value.Methods From September 2016 to 2019,144 cases of NSCLC tissues and adjacent tissues(non-tumor tissues at least 5 cm away from cancerous tissues)were admitted.The expression of ERCC6L protein in NSCLC tissues and their adjacent tissues were detected using immunohistochemistry(IHC)method.The clinicopathological data of patients with high and low expression of ERCC6L were compared,and the Kaplan-Meier curves and Cox proportional hazards regression model were used to evaluate the relationship between ERCC6L expression and overall survival(OS)of NSCLC patients.Results The data of IHC staining showed that high expression of ERCC6L was detected in 42.4％(61/144)of NSCLC tissues,which was higher than in their adjacent tissues(37.7,％,37/144)(x2=8.909,P＜0.05).High expression of ERCC6L was frequently detected in poorly differentiated carcinoma(x2=38.660,P＜0.001),T2/T3 stage(x2=6.528,P=0.011)and TNM stage Ⅲ(x2=12.522,P＜0.05).In addition,patients with high expression of ERCC6L had higher rates of lymph node metastasis(x2=5.802,P＜0.05),lymphovascular invasion(x2=29.899,P＜0.05)and pleural invasion(x2=7.942,P＜0.05)than those with low expression(P＜0.05).Survival analysis revealed that patients with high expression of ERCC6L had a worse prognosis than those with low expression,and the 5-year overall survival(OS)rate of two patient groups was 44.8％and 70.5％,respectively(x2=15.919,P＜0.05).Univariate and multivariate Cox regression analysis demonstrated that high expression of ERCC6L(HR=2.106,95％CI=1.087-4.079,P＜0.05)was an independent prognostic factor for NSCLC patients.Conclusion High expression of ERCC6L is closely correlated to tumor aggressive features,and it might be a valuable prognostic biomarker for NSCLC patients.