Objective: To investigate the urban and rural differences in adverse outcomes of pulmonary tuberculosis (PTB) in patients with pulmonary tuberculosis-diabetes mellitus comorbidity (PTB-DM), so as to provide insights into improving the prevention and treatment measures for PTB-DM. Methods: Patients with PTB-DM who were admitted and discharged from 14 designated tuberculosis hospitals in Hangzhou City from 2018 to 2022 were selected. Basic information, and history of diagnosis and treatment were collected through hospital information systems. The adverse outcomes of PTB were defined as endpoints, and the proportions of adverse outcomes of PTB in urban and rural patients with PTB-DM were analyzed. Factors affecting the adverse outcomes of PTB were identified using a multivariable Cox proportional hazards regression model. Results: A total of 823 patients with PTB-DM were enrolled, including 354 (43.01%) urban and 469 (56.99%) rural patients. There were 112 (13.61%) patients with adverse outcomes of PTB. The proportions of adverse outcomes of PTB in urban and rural patients were 14.41% and 13.01%, respectively, with no statistically significant difference (P>0.05). Multivariable Cox proportional hazards regression analysis identified first diagnosed in county-level hospitals or above (HR=2.107, 95%CI: 1.181-3.758) and drug resistance (HR=3.303, 95%CI: 1.653-6.600) as the risk factors for adverse outcomes of PTB in urban patients with PTB-DM, while the treatment/observed management throughout the process (HR=0.470, 95%CI: 0.274-0.803) and fixed-dose combinations throughout the process (HR=0.331, 95%CI: 0.151-0.729) as the protective factors for adverse outcomes in rural patients with PTB-DM. Conclusions There are differences in influencing factors for adverse outcomes of PTB in urban and rural patients with PTB-DM. The adverse outcomes of PTB are associated with first diagnosed hospitals and drug resistance in urban patients, and are associated with the treatment/observed management and fixed-dose combinations throughout the process in rural patients.

Objective To systematically search the research literature related to the application of machine learning models in hospice care,with a view to providing references for clinical practice.Methods A systematic search of Wanfang database,CNKI,VIP database,China Biomedical Literature Database,PubMed,Embase,Scopus,Cochrane Library,Web of Science,and CINAHL was conducted in accordance with the methodology of the scoping review as a guideline,with the timeframe of searching from the establishment of the database to August 30,2024,and the included literature was screened,summarized,extracted,and analyzed.Results Totally 17 studies were included.Analysis revealed that supervised machine learning algorithms(including random forest,decision tree,and neural networks)predominated in palliative care applications.Data sources and collection methods varied widely,with models applied across diverse scenarios.Model functions include assessing hospice needs,predicting a patient's risk of death,assisting with symptom management,analyzing hospice communication content,and more.Conclusion Machine learning models in palliative care demonstrate considerable utility and broad applicability.Future research should enhance data quality,optimize model development workflows,and improve model performance.

Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*

BACKGROUND: China has made significant progress in medical accessibility and quality over the past decades, and quality improvements in gastroenterology and digestive endoscopy have been consistent. The study aimed to describe the status quo of gastroenterology and digestive endoscopy in the Chinese mainland based on the data from the National Clinical Improvement System (NCIS) and the Hospital Quality Monitoring System (HQMS). METHODS: Data were extracted from the NCIS and the HQMS. Data analysis included general information from the Department of Gastroenterology and Endoscopy centers, management of inpatients and outpatients, and annual volume and quality indicators of digestive endoscopy. Acute pancreatitis, gastrointestinal bleeding, inflammatory bowel disease, and cirrhosis were identified as priority diseases and were subjected to detailed analysis. RESULTS: Data from 4620 and 7074 hospitals were extracted from the NCIS and HQMS, respectively. In 2023, 9.6 gastroenterologists, 6.7 endoscopists, and 37.3 gastroenterology beds per hospital nationwide were observed, achieving 19,252.4 outpatient visits, 1615.2 hospitalizations (97.0 for acute pancreatitis, 146.1 for gastrointestinal bleeding, 40.2 for inflammatory bowel disease, and 111.4 for cirrhosis), and 9432.7 digestive endoscopic procedures per hospital. Overall, the quality of practice improved significantly. The proportion of early cancer among gastrointestinal cancers increased from 11.1% in 2015 to 23.4% in 2023, and the adenoma detection rate during colonoscopy increased from 19.3% in 2019 to 26.9% in 2023. Regarding priority diseases, hospitalizations increased, and 31-day unplanned readmission rates decreased between 2019 and 2023. The median hospitalization costs and median proportion of medication costs decreased for acute pancreatitis, gastrointestinal bleeding, and cirrhosis. However, it increased for inflammatory bowel disease. CONCLUSION This report evaluates the status quo and development of gastroenterology and digestive endoscopy in the Chinese mainland, providing guidance for future quality improvements.
Humans ; China ; Gastroenterology/statistics & numerical data* ; Gastrointestinal Hemorrhage ; Endoscopy, Gastrointestinal/statistics & numerical data* ; Endoscopy, Digestive System/statistics & numerical data*

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To study the pharmacokinetics of dihydralazine sulfate,triamterene,hydrochlorothiazide and reserpine in compound reserpine and triamterene in rats.Methods SD rats were randomly divided into three groups.Compound reserpine and triamterene was given at dose of 3.6,10.8 and 32.4 mg·kg-1 by single oral gavage,respectively.HPLC-MS was used to measure the blood concentrations of dihydralazine sulfate,triamterene,hydrochlorothiazide,and reserpine at various time points.DAS software was used to compute the pharmacokinetic parameters.Results After a single oral gavage of 3.6,10.8 and 32.4 mg·kg-1 of compound reserpine tablets triamterene,the tmax of dihydralazine sulfate in rat plasma were 1.50,1.33,and 1.42 h,and the Cmax of dihydralazine sulfate were 12.30,38.31 and 120.52 μg·L-1,respectively.The tmax of triamterene were 1.33,1.33,and 1.42 h,and the Cmax of triamterene were 20.93,67.36,and 168.64 μg·L-1,respectively.The tmax of hydrochlorothiazide were 2.00,2.00,and 1.75 h,and the Cmax of hydrochlorothiazide were 19.89,57.58,and 160.78 μg·L-1,respectively.Risperdal was found at very low levels in rat plasma,and only trace amounts were detected at 1.00 and 1.50 h of 32.4 mg·kg-1 administration.Conclusions Dihydralazine sulfate,triamterene,and hydrochlorothiazide can be eliminated quickly after compound reserpine and triamterene was given orally to rats,and their oral absorption is basically linear.The greater the dosage,the better the absorption of effective components.

IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.

Objective:To compare postoperative anal function recovery between laparoscopic subtotal colectomy with antiperistaltic cecorectal anastomosis and laparoscopic total colectomy with ileorectal anastomosis for slow transit constipation.Methods:This multicenter retrospective cohort study enrolled patients meeting the following criteria: (1) severe constipation symptoms (<2 bowel movements/week), absent or insignificant defecation urge, abdominal distension, requiring laxatives to maintain bowel movements or laxatives being ineffective; (2) constipation symptoms for over 5 years, ineffective after >2 years of medical treatment, with strong desire for surgery; (3) significantly prolonged colon transit time (>72 hours) without significant gastric or small intestinal transit dysfunction; (4) no organic colonic lesions confirmed by colonoscopy and abdominal CT. Exclusion criteria: (1) patients undergoing open surgery; (2) exclusion of outlet obstruction constipation (e.g., rectocele, rectal prolapse, puborectalis spasm) by functional defecation MRI; (3) comorbid psychiatric disorders; (4) missing clinical data or loss to follow-up (postoperative follow-up <24 months). Based on these criteria, clinical and follow-up data were collected from 220 patients who underwent either laparoscopic subtotal colectomy with antiperistaltic cecorectal anastomosis (LSC group, n = 115) or laparoscopic total colectomy with ileorectal anastomosis (LTC group, n = 105) for slow transit constipation between January 2013 and December 2022. Subjective anal function (Constipation Severity Score and Wexner Fecal Incontinence Score) and objective anal function (positive rate of rectoanal inhibitory reflex [RAIR] and anorectal manometry) were observed preoperatively and at 6, 12, and 24 months postoperatively. Results:No significant differences were found in baseline characteristics between the two groups (all P >0.05). All surgeries were completed successfully without major significant complications. Subjective anal function assessment: At 24 months postoperatively, Constipation Severity Scores decreased significantly compared to preoperative scores in both groups [LSC group: (25.2±2.8) vs. (2.9±1.8), P <0.001; LTC group: (25.8±2.9) vs. (2.8±1.9), P<0.001]. No significant differences were found between the groups at 6, 12, and 24 months postoperatively (all P>0.05). Wexner Fecal Incontinence Scores at 24 months were significantly lower than those at 6 months in both groups [LSC group: (12.9±1.8) vs. (3.9±2.5), P<0.001; LTC group: (12.6±1.8) vs. (5.4±2.4), P<0.001]. Although no significant difference was found at 6 months ( P = 0.190), the LSC group had significantly lower Wexner scores than the LTC group at 12 and 24 months postoperatively (both P < 0.001). Objective anal function assessment: (1) Positive RAIR rate: Preoperative positive RAIR rates were 33.0% (38/115) in the LSC group and 25.7% (27/105) in the LTC group ( P > 0.05). At 24 months, positive rates increased significantly in both groups [LSC: 66.1% (76/115); LTC: 63.8% (67/105)] compared to preoperative rates (both P<0.001), but no significant differences were found between groups at 6, 12, and 24 months (all P>0.05). (2) Resting pressure (RP) and squeeze pressure (SP): No significant differences were found in preoperative RP and SP between groups (all P>0.05). The LSC group had significantly higher RP and SP than the LTC group at 6 and 12 months postoperatively (all P<0.05), but no significant differences were found at 24 months ( P>0.05). Conclusion:Both laparoscopic subtotal colectomy with antiperistaltic cecorectal anastomosis and laparoscopic total colectomy with ileorectal anastomosis are safe for patients with slow transit constipation. However, laparoscopic subtotal colectomy with antiperistaltic cecorectal anastomosis offers superior postoperative anal function recovery.

IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.

Objective To systematically search the research literature related to the application of machine learning models in hospice care,with a view to providing references for clinical practice.Methods A systematic search of Wanfang database,CNKI,VIP database,China Biomedical Literature Database,PubMed,Embase,Scopus,Cochrane Library,Web of Science,and CINAHL was conducted in accordance with the methodology of the scoping review as a guideline,with the timeframe of searching from the establishment of the database to August 30,2024,and the included literature was screened,summarized,extracted,and analyzed.Results Totally 17 studies were included.Analysis revealed that supervised machine learning algorithms(including random forest,decision tree,and neural networks)predominated in palliative care applications.Data sources and collection methods varied widely,with models applied across diverse scenarios.Model functions include assessing hospice needs,predicting a patient's risk of death,assisting with symptom management,analyzing hospice communication content,and more.Conclusion Machine learning models in palliative care demonstrate considerable utility and broad applicability.Future research should enhance data quality,optimize model development workflows,and improve model performance.