BACKGROUND: Epidemiological data on chronic diarrhea in the Chinese population are lacking, and the association between obesity and chronic diarrhea in East Asian populations remains inconclusive. This study aimed to investigate the prevalence of chronic diarrhea and its association with obesity in a representative community-dwelling Chinese population. METHODS: This cross-sectional study was based on a multistage, randomized cluster sampling involving 3503 residents aged 20-69 years from representative urban and rural communities in Beijing. Chronic diarrhea was assessed using the Bristol Stool Form Scale (BSFS), and obesity was determined based on body mass index (BMI). Logistic regression analysis and restricted cubic splines were used to evaluate the relationship between obesity and chronic diarrhea. RESULTS: The standardized prevalence of chronic diarrhea in the study population was 12.88%. The average BMI was 24.67 kg/m 2 . Of all the participants, 35.17% (1232/3503) of participants were classified as overweight and 16.13% (565/3503) as obese. After adjustment for potential confounders, individuals with obesity had an increased risk of chronic diarrhea as compared to normal weight individuals (odds ratio = 1.58, 95% confidence interval: 1.20-2.06). A nonlinear association between BMI and the risk of chronic diarrhea was observed in community residents of males and the overall participant group ( P  = 0.026 and 0.017, respectively). CONCLUSIONS This study presents initial findings on the prevalence of chronic diarrhea among residents of Chinese communities while offering substantiated evidence regarding the significant association between obesity and chronic diarrhea. These findings offer a novel perspective on gastrointestinal health management.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Body Mass Index ; China/epidemiology* ; Chronic Disease/epidemiology* ; Cross-Sectional Studies ; Diarrhea/epidemiology* ; Obesity/complications* ; Prevalence ; East Asian People/statistics & numerical data*

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To explore the genetic background and clinical features of patients with long QT syndrome type 3 (LQT3).Methods:This retrospective cohort included patients diagnosed with LQT3 at the Department of Cardiology, Renmin Hospital of Wuhan University from January 1998 to December 2022. Patients were categorized into compound type group and single type group based on the presence of a single SCN5A mutation. The two groups were followed up and the differences in baseline characteristics, electrocardiograms, and clinical events between the two groups and probands were compared. Kaplan-Meier curves were used for survival analysis, and the log-rank test was employed to compare the event-free survival rates of first cardiac events between the groups and probands.Results:A total of 97 LQT3 patients were enrolled, including 59 probands. The age at diagnosis was (23.45±19.86) years, with 46 patients (47.4%) being male. Among them, 89 patients were classified as single type group, while 8 patients were classified as compound type group. Genetic testing identified 49 SCN5A mutations, with missense mutations being the majority (91.8%), primarily located in transmembrane regions (40.8%, n=20), interdomain linker regions (28.6%, n=14), and C-terminus (22.4%, n=11). The first cardiac event occurred in 44 patients (45.4%), with an onset age of (13.82±12.50) years. The main trigger was identified as rest or sleep (54.5%, n=24). Compared with patients in single type group, patients in compound type group were younger at diagnosis ((10.35±10.28) years vs. (24.63±20.13) years, P=0.040), had a significantly higher proportion of syncope (87.5% (7/8) vs. 33.7% (30/89), P=0.009), aborted cardiac arrest (62.5% (5/8) vs. 11.2% (10/89), P=0.001), and a lower incidence of event-free survival rates of first cardiac events (12.5% (1/8) vs.58.4% (52/89), log-rank P=0.001). The probands in compound type group had a significantly higher proportion of aborted cardiac arrest comparing to probands in single type group (62.5% (5/8) vs. 17.6% (9/51), P=0.020), while the difference in the incidence rate of event-free survival rates of first cardiac events between the probands in two groups was not statistically significant (12.5% (1/8) vs. 39.2% (20/51), log-rank P=0.08). Conclusion:Compound type LQT3 patients are not uncommon. Such patients are diagnosed at a younger age and exhibit more severe phenotypes, requiring close follow-up and proactive intervention strategies.

As individuals age, the desire to address skin aging in the face and neck becomes increasingly prevalent among those interested in enhancing their appearance.Microfocused ultrasound offers a non-invasive approach to address concerns such as wrinkles and sagging skin.This article presents a thorough examination of the mechanisms and principles underlying microfocused ultrasound technology, its effectiveness in combating signs of aging in various regions of the face and neck, its potential synergies with other treatment modalities, and its benefits and possible side effects.The objective is to provide guidance for healthcare professionals in utilizing microfocused ultrasound for facial and neck rejuvenation.

Mendelian Randomization Analysis ; Bone Density ; Genome-Wide Association Study ; Minerals ; Life Expectancy ; Polymorphism, Single Nucleotide

Objective To explore the effect of Yunnan specialty rice products on blood sugar by measuring the glycemic index of 5 Yunnan special rice foods:rice noodles,rice cakes,rice rolls,sour rice noodles and dry rice noodles.Methods Following the national standard method to determine the carbohydrate content of 5 Yunnan specialty rice products,and the target amount of the test substance was calculated.Food Glycemic Index Determination Method was used to determine the glycemic index of 5 Yunnan specialty rice products and observe their impact on blood sugar.Results The GI value of Yunnan specialty food rice noodle is 63,rice cake is 64,rice roll is 46,sour rice noodles is 38,and dry rice noodles is 33.Conclusion Yunnan specialty foods rice noodle and rice cake belong to medium GI foods,and diabetes patients should reduce consumption;rice roll,sour rice noodles,and dry rice noodles belong to low GI foods and can be a better staple food source for diabetes patients.

Objective To explore the rules of acupoint selection and manipulation application of Tuina in the treatment of diabetes peripheral neuropathy(DPN)with data mining technology.Methods The clinical research literature of Tuina for DPN from October 2022 was selected by searching four Chinese databases that CNKI,WanFang,VIP and Chinese Biomedical Literature Database.Using the traditional Chinese medicine inheritance assistance platform software,analyze and summarize the rules of selecting acupoints and applying manipulations in the treatment of DPN with Tuina.Results A total of 110 articles were included,including 65 acupoints and 33 manipulations.The acupoints with the highest frequency are Zusanli(ST 36),Sanyinjiao(SP 6),Taixi(KI 3),Yongquan(KI 1),Taichong(LR 3),Yanglingquan(GB 34),etc.The meridians mainly include Taiyin Spleen Meridian of Foot,Yangming Stomach Meridian of Foot,Taiyang Bladder Meridian of Foot and Shaoyin Kidney Meridian of Foot.Five-shu Points,Lower He-sea Points and Yuan-primary Points are commonly used specific points.The acupoints are mostly distributed in the lower limbs.The categories of Tuina manipulations mainly include squeezing-pressing manipulations,pushing rolling manipulations and composite manipulations.The Tuina manipulations mainly include kneading manipulation,pressing manipulation,point-pressing manipulation,pressing-kneading manipulation and twisting manipulation with both palms.Conclusion The acupoint selection and manipulation application of Tuina in treating DPN have certain rules,and the main treatment principles are to regulate the organs and dredge collaterals,and to replenish qi and promote blood circulation,which can provide objective basis for clinical treatment.

Objective:To investigate the changes of intestinal microecology in the early stage of sepsis rat model by 16S rDNA sequencing.Methods:Sixty male Sprague-Dawley (SD) rats were randomly divided into cecal ligation and puncture (CLP) group and sham operation group (Sham group), with 30 rats in each group. In the CLP group, sepsis rat model was reproduced by CLP method; the rats in the Sham group only underwent laparotomy without CLP. At 24 hours after the operation, the intestinal feces and serum samples of 8 rats in each group were collected. The survival rate of the rest rats was observed until the 7th day. The level of serum tumor necrosis factor-α (TNF-α) was detected by enzyme-linked immunosorbent assay (ELISA). Intestinal feces were sequenced by 16S rDNA sequencing technology. The operational taxonomic unit (OTU) data obtained after sequence comparison and clustering was used for α diversity and β diversity analysis, principal coordinate analysis and linear discriminant analysis effect size analysis (LEfSe) to observe the changes of intestinal microecology in early sepsis rats and excavate the marker flora.Results:At 24 hours after the reproduction of the model, the rats in the CLP group showed shortness of breath, scattered hair and other manifestations, and the level of serum TNF-α increased significantly as compared with that in the Sham group (ng/L: 43.95±9.05 vs. 11.08±3.27, P < 0.01). On the 7th day after modeling, the cumulative survival rate of the Sham group was 100%, while that of the CLP group was 31.82%. Diversity analysis showed that there was no significant difference in α diversity parameter between the Sham group and the CLP group (number of species: 520.00±52.15 vs. 492.25±86.61, Chao1 richness estimator: 707.25±65.69 vs. 668.93±96.50, Shannon index: 5.74±0.42 vs. 5.79±0.91, Simpson index: 0.93±0.03 vs. 0.94±0.05, all P > 0.05). However, the β diversity analysis showed that the difference between groups was greater than that within groups whether weighted according to OTU or not (abundance weighted matrix: R = 0.23, P = 0.04; abundance unweighted matrix: R = 0.32, P = 0.01). At the phylum level, the abundance of Proteobacteria and Candidatus_sacchari in the CLP group increased significantly as compared with the Sham group [18.100% (15.271%, 26.665%) vs. 6.974% (2.854%, 9.764%), 0.125% (0.027%, 0.159%)% vs. 0.018% (0.008%, 0.021%), both P < 0.05]. At the genus level, the abundance of opportunistic pathogen including Helicobacter, Ruthenium, Streptococcus, Clostridium ⅩⅧ in the CLP group was significantly higher than that in the Sham group [5.090% (1.812%, 6.598%) vs. 0.083% (0.034%, 0.198%), 0.244% (0.116%, 0.330%) vs. 0.016% (0.008%, 0.029%), 0.006% (0.003%, 0.010%) vs. 0.001% (0%, 0.003%), 0.094% (0.035%, 0.430%) vs. 0.007% (0.003%, 0.030%), all P < 0.05], and the abundance of probiotics such as Alloprevotella and Romboustia was significantly lower than that in the Sham group [7.345% (3.662%, 11.546%) vs. 22.504% (14.403%, 26.928%), 0.113% (0.047%, 0.196%) vs. 1.229% (0.809%, 2.29%), both P < 0.01]. LEfSe analysis showed that the probiotics belonging to Firmicutes were significantly enriched in the Sham group, and Romboustia was the most significantly enriched species. Opportunistic pathogens such as Helicobacter, Streptococcus and Clostridium ⅩⅧ were significantly enriched in the CLP group, Helicobacter_NGSU_ 2015 was the most significantly enriched species. Conclusion:In the early stage of sepsis, the intestinal microbiota structure of rats is significantly changed, which mainly shows that the abundance of Alloprevotella and other probiotics is significantly reduced, while that of Helicobacter and other opportunistic pathogens is significantly increased.

Objective:To prepare the control materials of point-of-care(POC) glucose testing and evaluate their homogeneity, stability and matrix effects.Methods:The high, medium and low concentration control materials were prepared from patient leftover whole blood, which was centrifuged, fixed, washed, filtered, and aliquoted. The homogeneity and stability of the control materials were evaluated according to CNAS (China National Accreditation Service for Conformity Assessment, CNAS) GL29:2010"Reference materials-General and statistical principles for certification". The control materials were used to evaluate the matrix effects in POC glucose detection systems by Deming regression, according to the Clinical and Laboratory Standards Institute (CLSI) EP14-A3. Meanwhile, these control materials were used as the internal quality control, and their coefficients of variation ( CV) were calculated. One-way ANOVA and t-Test were used to analyze the results. Results:The homemade materials at three concentrations showed good homogeneity[ F< F0.05(9, 20)]. When the control materials were stored at 2-8 ℃, the stable phases for the opened and closed bottles were 10 days and 15 days, respectively, and there was no statistically significant difference between the results of the first day( P>0.05). The control materials at three concentrations also showed good applicability and there were no matrix effects in 10 POC glucose systems. When the control materials were detected in the internal quality control, the CVs of the high, medium and low concentrations were 0.63%, 0.66% and 1.65%, respectively, which were all below 7.5%. Conclusions:The homemade human control materials of POC glucose testing showed good homogeneity, stability and applicability. They met the requirements of quality control in hospital settings, which provided a good application prospect of the quality management of POC glucose testing.