ObjectiveTo investigate the prevalence rate of chronic non-communicable diseases （NCDs） and the association with quality of life in middle-aged and elderly patients with HIV/AIDS. MethodsThis cross-sectional study surveyed 432 patients with HIV/AIDS （aged≥45 years） in the Infectious Disease Center in Guangzhou Eighth People’s Hospital of Guangzhou Medical University， and 366 participants were included in the analysis after quality control. A questionnaire and the EuroQol 5-Dimensional 3-level version （EQ-5D-3L） were used to investigate NCDs and quality of life and Tobit regression model was used to estimate the association between chronic diseases and quality of life. ResultsAmong the 366 participants， 29（7.9%） had cardiovascular disease， 45（12.3%） had hypertension， 122（33.3%） had hyperglycemia， 151（41.3%）had hyperlipidemia，7（1.9%） had cancer， 17 （4.6%） had chronic kidney disease， 38 （10.4%） had chronic liver disease， 21（5.7%） had musculoskeletal disorders， and 253（69.1%） suffered from at least one type of chronic diseases. The median （lower and upper quartiles） of EQ-5D utility index was 1.000（0.964~1.000）. Multivariate Tobit regression results of the total population showed that cancer ［b_a=-0.08，95%CI （-0.15，-0.01），P=0.036］， chronic kidney disease ［b_a=-0.07， 95%CI （-0.12，-0.02），P=0.006］， musculoskeletal disease ［b_a=-0.09， 95%CI （-0.13， -0.05），P<0.001］， and ≥3 types of chronic diseases［b_a=-0.05， 95%CI（-0.08，-0.01），P=0.013］ were negatively correlated with EQ-5D utility index. The stratified analysis results of different CD4+T cell levels showed that hypertension ［b_a=-0.07， 95%CI （-0.12， -0.02）， P=0.007］， chronic kidney disease ［b_a=-0.10，95%CI （-0.18，-0.03）， P=0.006］， musculoskeletal disease ［b_a=-0.15， 95%CI （-0.22，-0.07）， P<0.001］ and ≥3 types of chronic diseases ［b_a=-0.09， 95%CI （-0.09， -0.01）， P<0.001］ were negatively correlated with EQ-5D utility index in the group with CD4≤500 （cells/μL）， whereas cancer［b_a=-0.11， 95%CI （-0.20，-0.01）， P=0.031］ was negatively correlated with EQ-5D utility index in the group with CD4＞500（cells/μL）. ConclusionsThe prevalence rate of chronic non-communicable diseases in middle-aged and elderly patients with HIV/AIDS is relatively high. The classification of NCDs such as cancer or chronic kidney disease or other chronic diseases and the numbers of NCDs categories are negatively correlated with quality of life. However，this association varies among patients with HIV/AIDS of different CD4+T cell levels. It is suggested that we should try to prevent and identify NCDs at an early stage， strengthen linkages and integration of health services for AIDS and chronic NCDs， and jointly manage and control AIDS with chronic diseases to improve the quality of life among people living with HIV/AIDS.

Background/Aims: Distal mean nocturnal baseline impedance (MNBI) measuring via pH-impedance may be valuable in diagnosing patients with suspected laryngopharyngeal reflux (LPR). However, its wide adoption is hindered by cost and invasiveness. This study investigates whether baseline impedance measured during high-resolution impedance manometry (HRIM-BI) can predict pathological MNBI. Methods: A cross-sectional study in Taiwan included 74 subjects suspected of LPR, who underwent HRIM (MMS) and pH-impedance testing (Diversatek), after stopping proton pump inhibitors for more than 7 days. Subjects with grade C or D esophagitis or Barrett’s esophagus were excluded. The cohort was divided into 2 groups: those with concomitant typical reflux symptoms (CTRS, n = 28) and those with isolated LPR symptoms (ILPRS, n = 46). HRIM-BI measurements focused on both distal and proximal esophagi. Pathological MNBI was identified as values below 2065 Ω, measured 3 cm above the lower esophageal sphincter. Results: In all subjects, distal HRIM-BI values correlated weakly with distal MNBI(r = 0.34-0.39, P < 0.005). However, in patients with ILPRS, distal HRIM-BI corelated moderately with distal MNBI(r = 0.43-0.48, P < 0.005). The areas under the receiver operating characteristic curve was 0.78 (P = 0.001) with a sensitivity of 0.83 and a specificity of 0.68. No correlation exists between distal HRIM-BI and distal MNBI in patients with CTRS, and between proximal HRIM-BI and proximal MNBI in both groups. Conclusions Distal HRIM-BI from HRIM may potentially predict pathological MNBI in patients with ILPRS, but not in those with CTRS. Future outcome studies linked to the metric are warranted.

Background/Aims: Distal mean nocturnal baseline impedance (MNBI) measuring via pH-impedance may be valuable in diagnosing patients with suspected laryngopharyngeal reflux (LPR). However, its wide adoption is hindered by cost and invasiveness. This study investigates whether baseline impedance measured during high-resolution impedance manometry (HRIM-BI) can predict pathological MNBI. Methods: A cross-sectional study in Taiwan included 74 subjects suspected of LPR, who underwent HRIM (MMS) and pH-impedance testing (Diversatek), after stopping proton pump inhibitors for more than 7 days. Subjects with grade C or D esophagitis or Barrett’s esophagus were excluded. The cohort was divided into 2 groups: those with concomitant typical reflux symptoms (CTRS, n = 28) and those with isolated LPR symptoms (ILPRS, n = 46). HRIM-BI measurements focused on both distal and proximal esophagi. Pathological MNBI was identified as values below 2065 Ω, measured 3 cm above the lower esophageal sphincter. Results: In all subjects, distal HRIM-BI values correlated weakly with distal MNBI(r = 0.34-0.39, P < 0.005). However, in patients with ILPRS, distal HRIM-BI corelated moderately with distal MNBI(r = 0.43-0.48, P < 0.005). The areas under the receiver operating characteristic curve was 0.78 (P = 0.001) with a sensitivity of 0.83 and a specificity of 0.68. No correlation exists between distal HRIM-BI and distal MNBI in patients with CTRS, and between proximal HRIM-BI and proximal MNBI in both groups. Conclusions Distal HRIM-BI from HRIM may potentially predict pathological MNBI in patients with ILPRS, but not in those with CTRS. Future outcome studies linked to the metric are warranted.

Background/Aims: Distal mean nocturnal baseline impedance (MNBI) measuring via pH-impedance may be valuable in diagnosing patients with suspected laryngopharyngeal reflux (LPR). However, its wide adoption is hindered by cost and invasiveness. This study investigates whether baseline impedance measured during high-resolution impedance manometry (HRIM-BI) can predict pathological MNBI. Methods: A cross-sectional study in Taiwan included 74 subjects suspected of LPR, who underwent HRIM (MMS) and pH-impedance testing (Diversatek), after stopping proton pump inhibitors for more than 7 days. Subjects with grade C or D esophagitis or Barrett’s esophagus were excluded. The cohort was divided into 2 groups: those with concomitant typical reflux symptoms (CTRS, n = 28) and those with isolated LPR symptoms (ILPRS, n = 46). HRIM-BI measurements focused on both distal and proximal esophagi. Pathological MNBI was identified as values below 2065 Ω, measured 3 cm above the lower esophageal sphincter. Results: In all subjects, distal HRIM-BI values correlated weakly with distal MNBI(r = 0.34-0.39, P < 0.005). However, in patients with ILPRS, distal HRIM-BI corelated moderately with distal MNBI(r = 0.43-0.48, P < 0.005). The areas under the receiver operating characteristic curve was 0.78 (P = 0.001) with a sensitivity of 0.83 and a specificity of 0.68. No correlation exists between distal HRIM-BI and distal MNBI in patients with CTRS, and between proximal HRIM-BI and proximal MNBI in both groups. Conclusions Distal HRIM-BI from HRIM may potentially predict pathological MNBI in patients with ILPRS, but not in those with CTRS. Future outcome studies linked to the metric are warranted.

Definitive treatment of lung cancer with radiotherapy is challenging, as respiratory motion and anatomical changes can increase the risk of severe off-target effects during radiotherapy. Online adaptive radiotherapy (ART) is an evolving approach that enables timely modification of a treatment plan during the interfraction of radiotherapy, in response to physiologic or anatomic variations, aiming to improve the dose distribution for precise targeting and delivery in lung cancer patients. The effectiveness of online ART depends on the seamless integration of multiple components: sufficient quality of linear accelerator-integrated imaging guidance, deformable image registration, automatic recontouring, and efficient quality assurance and workflow. This review summarizes the present status of online ART for lung cancer, including key technologies, as well as the challenges and areas of active research in this field.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods*

Smoking is a well-established risk factor for periodontitis, yet the precise mechanisms by which smoking contributes to periodontal disease remain poorly understood. Recent advances in spatial transcriptomics have enabled a deeper exploration of the periodontal tissue microenvironment at single-cell resolution, offering new opportunities to investigate these mechanisms. In this study, we utilized Visium HD single-cell spatial transcriptomics to profile gingival tissues from 12 individuals, including those with periodontitis, those with smoking-associated periodontitis, and healthy controls. Our analysis revealed that smoking disrupts the epithelial barrier integrity, induces fibroblast alterations, and dysregulates fibroblast-epithelial cell communication, thereby exacerbating periodontitis. The spatial analysis showed that endothelial cells and macrophages are in close proximity and interact, which further promotes the progression of smoking-induced periodontal disease. Importantly, we found that targeting the endothelial CXCL12 signalling pathway in smoking-associated periodontitis reduced the proinflammatory macrophage phenotype, alleviated epithelial inflammation, and reduced alveolar bone resorption. These findings provide novel insights into the pathogenesis of smoking-associated periodontitis and highlight the potential of targeting the endothelial-macrophage interaction as a therapeutic strategy. Furthermore, this study establishes an essential information resource for investigating the effects of smoking on periodontitis, providing a foundation for future research and therapeutic development for this prevalent and debilitating disease.
Humans ; Gingiva/cytology* ; Smoking/adverse effects* ; Male ; Periodontitis/pathology* ; Single-Cell Analysis ; Female ; Adult ; Middle Aged ; Macrophages ; Fibroblasts ; Endothelial Cells ; Case-Control Studies ; Chemokine CXCL12/metabolism*

Objective In order to offer a theoretical foundation for Cremastae Pseudobulbus/Pleiones Pseudobulbus original species scientific introduction and site selection for expansion.Methods We gathered sample distribution information for the original species of Cremastae Pseudobulbus/Pleiones Pseudobulbus nationwide by consulting various databases and conducting field investigations.A total of 257 effective distribution data were gathered.Altitude,temperature,solar radiation,precipitation,and water vapor pressure were among the 68 environment factors that were chosen from 5 categories.The ecological suitability of Cremastae Pseudobulbus/Pleiones Pseudobulbus original species was investigated using Maxent and ArcGIS.Results The investigation revealed that precipitation,solar radiation,and altitude were the core environment factors influencing the ecological suitability of Cremastae Pseudobulbus/Pleiones Pseudobulbus.The most important environment factors varied significantly between diverse original species.The most suitable potential areas for the growth of Cremastra appendicutata,Pleione bulbocodioides,and Pleione yunnanensis were concentrated in Taiwan,South China,and the adjacent areas of Yunnan and Sichuan,respectively.Conclusion Further ecological suitability levels were classified for their potential distribution areas,providing a scientific basis for the rational introduction,cultivation,and artificial stanhbzyydxdardized expansion of the Cremastae Pseudobulbus/Pleiones Pseudobulbus.

ObjectiveTo investigate the genetic polymorphism and structure of 47 autosomal microhaplotypes in the Han population in Changshu City, Jiangsu Province, and to evaluate the forensic efficiencies and forensic parameters. MethodsThe DNA library of unrelated individual samples was prepared according to MHSeqTyper47 kit manual and sequenced on the MiSeq FGx platform. Microhaplotype genotyping and sequencing depth statistics were processed using MHTyper. The genetic information of samples was then evaluated. The fixation index and genetic distance between the Jiangsu Changshu population and the reference populations in the 1000 Genomes Project phase 3 (1KG) were calculated, and forensic parameters were evaluated. ResultsThe fixation index and genetic distance between the Han population in Changshu, Jiangsu, and the CHB (Han Chinese in Beijing, China) reference population in 1KG were the lowest. The effective allele number (A_e) of each locus is also the closest between the two populations. The combined matching probability (CMP) of the Changshu Han population is close to the 5 populations of the East Asian reference super-population in 1KG, which is 1.25×10^-36, and the combined probability of exclusion reached 0.999 999 999 964 1. ConclusionThis study reported the genetic polymorphism and allele frequency of 47 microhaplotypes in a Han population in Changshu City, Jiangsu Province. This information provides a data basis for 47 microhaplotypes in forensic applications. In addition, the polymorphism differences between the 1KG reference population and the Han population in Changshu, Jiangsu were compared, and the genetic structure of 47 microhaplotypes in the Han population in Changshu, Jiangsu was revealed. In general, the reference data of the East Asian super-population in 1KG is more in line with the genetic characteristics of Han population in Changshu, Jiangsu.

Objective:To explore the prognosis efficacy of psycho-cardiological therapy and management on patients with coronary atherosclerosis disease (CAD).Methods:This was a clinical randomized controlled study. This study included inpatients with CAD at the cardiology department in Beijing Anzhen Hospital, Capital Medical University from August 2021 to January 2024. The patients enrolled in this study were asked for basic information, and received measurements for depression, anxiety, sleep quality and living quality by the scales of Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder scale-7 (GAD-7), Athens Insomnia Scale (AIS), EuroQol 5-dimension 5-level (EQ-5D-5L) respectively. The patients were randomly grouped into a regular treatment group and a psycho-cardiological treatment group which included WeChat management or antidepressant/antianxiety medical therapy according to the situation. After the patients discharging from hospital for 2, 4, 12, 24, 48, 72, and 96 weeks, professional cardiovascular doctors would follow up by telephone, WeChat, and outpatient department, including scales (2-48 weeks), and cardiac events (2-96 weeks). Kaplan-Meier survival curve and multivariate Cox proportional hazards model were used for analyzing the association between psycho-cardiological treatment and cardiac events.Results:This study recruited a total of 552 patients with CAD, aged 61.0(54.0, 67.0) years, and 379 (68.7%) were male. There were 279(50.5%) in the regular treatment group and 273(49.5%) in the psycho-cardiological treatment group. After treatment for 4, 12 and 48 weeks, the PHQ-9 score in psycho-cardiological was significantly lower than the regular treatment group; After treatment for 12 weeks, the EQ-5D-5L effective value in psycho-cardiological group was higher than the regular treatment group; After treatment for 2, 4, 12, 24 and 48 weeks, the EQ-5D-5L VAS score in psycho-cardiological group was higher than the regular therapy group (all P<0.05). The Kaplan-Meier survival curve showed that, during the different follow-up periods, the rate of cardiac events in psycho-cardiological treatment group was lower than regular treatment group (log-rank P<0.001). The multivariate Cox proportional hazards model adjusted the factor of age, the psycho-cardiological treatment contributed to reducing the cardiac events rate by 80.3% ( HR=0.197, 95% CI: 0.067-0.582, P=0.003). Conclusion:Psycho-cardiological treatment is beneficial for improving psychological stress, living quality, and reducing cardiac events, and helps to improve prognosis and psycho-cardiological rehabilitation in CAD patients.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.