To investigate the antimicrobial susceptibility and molecular characteristics of Bordetella pertussis (Bp)in Guizhou Province, in order to provide a scientific basis for pertussis prevention, control, and treatment strategy formulation.

Bp strains collected from Guizhou Province between 2017 and 2024 were isolated and identified, followed by antimicrobial susceptibility testing against 10 antibiotics, including erythromycin, azithromycin, and clarithromycin, using the E-test method. Based on next-generation sequencing, drug resistance gene locus detection and multilocus sequence typing（MLST）were performed. Pulsed field gel electrophoresis（PFGE）molecular typing was performed using the restriction enzyme XbaI.

Of the 36 collected Bp strains, the resistance rate to macrolide antibiotics was 83.3% (30/36), increasing from 40% (2/5)in 2017 to 100% (19/19)in 2024. All resistant isolates harbored the A2047G mutation in the 23S rRNA gene. The susceptibility rate to Sulfamethoxazole-Trimethoprim was 58.3% (21/36), while all strains (100%, 36/36)were susceptible to ceftriaxone, meropenem, ampicillin, ciprofloxacin, levofloxacin, and gentamicin. Multilocus sequence typing (MLST)identified all isolates as sequence type 2 (ST-2). Pulsed-field gel electrophoresis (PFGE)classified the strains into 21 pulsotypes and 5 clusters, with epidemic strains from 2023—2024 predominantly belonging to cluster C and exhibiting significant genetic divergence from earlier isolates.

Bp strains in Guizhou Province presents heterogeneous PFGE profiles, varying over time in genetic features and macrolide sensitivity, and differing molecularly from vaccine strains.

To analyze the epidemiological characteristics and influencing factors of repeated infections of hand-foot-and-mouth disease in Haikou City (2008-2024), and to provide reference for formulating prevention and control strategies.

Collect data through the national notifiable disease report system, Use descriptive statistics, logistic regression, and other methods for data analysis.

The recurrence rate of hand-foot-and-mouth disease in Haikou City (2008—2024) was 6.41%, and showed a fluctuating downward trend from 2016 onwards. The repeated infection epidemic season is from April to July and from September to November. The repeated infection rate in males (6.90%) is higher than that in females (5.62%). 95.18% of repeat infection patients are children aged 3 years and below, with repeat infection rates of 9.59%, 8.17%, 6.22%, and 4.95% in the age groups of <1、1-<2、2-<3 and 3-<4 years, respectively. The repeated infection rate among scattered children (7.32%) is higher than that of preschool children (4.14%) and students (0.96%). The repeated infection rate in rural areas (7.29%) is higher than that in urban areas (6.33%) and townships (5.50%). The median interval between repeated infections is 385 days, with 76.75% occurring within 2 years. The repeat infection rate of patients with severe symptoms (9.36%) is higher than that of patients with mild symptoms (6.39%). Male, 3 years old and under, scattered children and preschool children (compared with students), rural and urban areas (compared with towns), low incidence years, and severe first-time infections are risk factors for recurrent infections.

The repeated infection rate of hand-foot-and-mouth disease in Haikou City is showing a downward trend, but it is still necessary to continue to strengthen health education, pathogen monitoring and other prevention and control measures. The key prevention and control targets are scattered children aged 3 and below, and actively promote EV71 vaccination, which is conducive to controlling and reducing the occurrence of repeated infections.

To analyze the value of the C-reactive protein-albumin-lymphocyte (CALLY) index as a predictor of rheumatoid arthritis (RA) risk in the general population.

Data from 9 791 participants in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018 were included. The CALLY index was calculated, and multiple models were used to investigate and evaluate the association between CALLY and RA.

Compared to the lowest quartile (Q1) of the CALLY index, the odds ratio (OR) for RA were 0.71 (95% CI: 0.57-0.89) for Q2, 0.63 (95% CI: 0.49-0.80) for Q3, and 0.49 (95% CI: 0.37-0.65) for Q4. A significant non-linear relationship existed between the CALLY index and RA (P<0.001).

The CALLY index demonstrates a significant negative correlation with the risk of rheumatoid arthritis.

To evaluate the correlation between the albumin-bilirubin (ALBI) score and non-alcoholic fatty liver disease (NAFLD).

This study was based on data from the National Health and Nutrition Examination Survey (NHANES) 2017—2018 cycle. A total of 5 948 participants who underwent liver transient elastography with complete data were included, comprising 1 995 in the NAFLD group and 3 953 in the non-NAFLD group. Serum albumin and total bilirubin levels were measured using the Roche Cobas 6000 analyzer.

The ALBI score in the NAFLD group was significantly higher than that in the non-NAFLD group (Z=-7.217, P<0.001). After adjusting for covariates including age, sex, race, marital status, education level, poverty income ratio (PIR), body mass index (BMI), smoking, alcohol consumption, hypertension, and diabetes, participants in the highest quartile (Q4) of ALBI score had a significantly increased risk of NAFLD (OR=1.763, 95% CI: 1.476-1.987). Further analysis showed a significant dose-response relationship between ALBI score and NAFLD risk (P<0.001), with no evidence of nonlinearity (P for nonlinearity=0.318). Stratified analysis revealed a significant interaction with age: among participants younger than 60 years, each quartile increase in ALBI score was associated with a 57.6% higher risk of NAFLD (OR=1.576, 95% CI: 1.396-1.848, P<0.05).

The ALBI score is independently and significantly positively associated with the risk of NAFLD, suggesting its potential application in risk assessment of metabolic-related liver disease.

To assess the effectiveness of 12 different teaching methods in teaching medical statistics courses.

CNKI, Wanfang, VIP, China Biological Data Platform, PUBMED and other databases were searched to collect research on teaching methods of medical statistics from the establishment of the database to June 2025. After literature screening, quality assessment and data extraction, Bayesian network Meta-analysis was used to evaluate the effect of each teaching method. The main evaluation indicators were final scores and teaching satisfaction.

A total of 71 articles were included, with a sample size of 12 558 for analysis. Results showed that the final grade and teaching satisfaction of the hybrid teaching (MD=9.874, 95% CI: 7.490-12.230), PBL+CBL (MD=9.460, 95% CI: 5.934-12.998), PBL (MD=8.275, 95% CI: 6.174-10.345), CBL+roll class (MD=7.568, 95% CI: 3.451-11.726), and online+roll class (MD=6.428, 95% CI2.836-10.086), CBL (MD=5.557, 95% CI: 3.126-8.006) had an increase compared with the traditional teaching method. The teaching satisfaction of online+flipped classroom (OR=4.801, 95% CI: 1.083-24.451), CBL+flipped classroom (OR=5.036, 95% CI: 2.297-10.511), blended teaching (OR=5.011, 95% CI: 3.202-7.957), PBL (OR=2.973, 95% CI: 2.121-4.441), CBL (OR=2.653, 95% CI: 1.800-3.977), and PBL+CBL (OR=4.815, 95% CI: 2.709-9.003) had improved. In the ranking of grade probability, The possibility that the flipped classroom and the online+flipped classroom had the best teaching effect was the greatest.

Compared to traditional instructional methods, teaching models such as the flipped classroom, online+flipped classroom, blended learning, and PBL+CBL, CBL+flipped classroom have demonstrated advantages in final exam scores and student satisfaction. Tailoring these innovative teaching strategies to the specific circumstances of the course is expected to effectively enhance the quality of teaching in medical statistics.

This study aims to explore the association between the Life’s Essential 8(LE8) and the prevalence of Metabolic-associated fatty liver disease(MAFLD) and its different subtypes.

Based on the baseline data of Chinese Cohort of Working Adults(CCWA), study subjects were selected through systematic random sampling. Sociodemographic characteristics and lifestyle behaviors were obtained via questionnaires, and physical examination data were collected. MAFLD was diagnosed based on the physical examination information, and the LE8 score was used to assess LE8. A total of 21 614 participants with complete data were included. A multivariate logistic regression model was employed to analyze the relationship between LE8 scores and the risk of MAFLD.

In the study population, the prevalence of MAFLD was 25.50%. The total population’s LE8 score was 72.81±13.78. Individuals with MAFLD exhibited a significantly lower mean LE8 score (64.59±12.89)compared to those without MAFLD (75.63±12.92). Notably, the lowest LE8 score was observed among patients with diabetic MAFLD (54.60±12.00). Each one-point increment in LE8 was associated with a 7% reduction in the risk of MAFLD occurrence(OR=0.93, 95% CI: 0.92-0.93). Specifically, the risk decreased by 5% for overweight/obese MAFLD (OR=0.95, 95% CI: 0.94-0.95), 2% for metabolic dysfunction/lean MAFLD (OR=0.98, 95% CI: 0.97-0.99), and 10% for diabetic MAFLD (OR=0.90, 95% CI: 0.90-0.91). Furthermore, compared to individuals with a high LE8 score, those with a medium LE8 score had a 4.44-fold increased risk of developing MAFLD (OR=4.44, 95% CI: 4.03-4.89), while those with a low LE8 score had a 13.63-fold increased risk (OR=13.63, 95% CI: 11.67-15.94).

The LE8 score is associated with MAFLD and different subtypes of MAFLD.A lower LE8 score significantly increases the risk of MAFLD and different subtypes of MAFLD. Improving LE8 may serve as an effective strategy for MAFLD prevention.

To explore the developmental trajectories of sarcopenia and its influencing factors in patients with chronic respiratory diseases.

The data from three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study (CHARLS) were used to screen patients with chronic respiratory diseases who had sarcopenia-related information. Group-based trajectory modeling was employed to fit the developmental trajectories of sarcopenia in these patients,and multinomial logistic regression was used to analyze the influencing factors.

A total of 1 138 chronic respiratory diseases patients with sarcopenia-related information were included in the study. Four developmental trajectories were identified:the low-risk stable group (38.66%, n=440), the high-risk declining group (15.29%, n=174), the U-shaped risk group (23.46%, n=267), and the high-risk stable group (22.58%, n=257). Multinomial logistic regression analysis indicated that age, gender,education level, body mass index (BMI), disease type, and hypertension were the influencing factors for the developmental trajectories of sarcopenia in patients with chronic respiratory diseases.

The progression of sarcopenia in patients with chronic respiratory diseases is characterized by dynamism and reversibility. Intervention should be preferentially carried out for the elderly, females, individuals with low education levels, low BMI, respiratory system comorbidities, and hypertension to improve muscle function and overall prognosis in patients with chronic respiratory diseases.

Based on biopsychosocial (BPS) perspective, this study explores the prevalence of dementia and related risk factors, providing a reference for the prevention and control of dementia.

Using the 2018 China Health and Retirement Longitudinal Study (CHARLS) data, a statistical analysis was conducted on individuals aged 60 and above. Lasso regression was employed to select variables, and binary logistic regression was used to analyze risk factors for dementia. The dataset was divided into a 7:3 ratio to construct a logistic nomogram prediction model for the risk of dementia, and the model was validated using receiver operating characteristic curve (ROC), decision curve analysis (DCA), and calibration curves.

A total of 3 464 study subjects were included, with 2 425 in the training set and 1 039 in the test set. The prevalence of dementia was 23.96%. Through lasso regression and logistic regression analysis, five risk factors were identified: gender (OR=3.918, P<0.001), age (OR=1.398, P<0.001), education level (OR=1.589, P<0.001), napping (OR=0.799, P=0.013), and life insurance (OR=0.613, P=0.016). The evaluation of the logistic nomogram prediction model for the risk of dementia showed that the area under the curve (AUC) for the training set was 0.729 (95% CI: 0.706-0.752) and the AUC for the test set was 0.713(95% CI: 0.677-0.749). The DCA threshold probability for the training set was 10%-84%, and the threshold probability for the test set was 15%-78%. The calibration curves for both the training and test sets showed good agreement with the prediction curve.

Gender, age, education level, napping, and life insurance are the main risk factors for dementia and society should focus on and effectively intervene in these factors. In addition, the constructed nomogram prediction model for the risk of dementia has good predictive performance and can be used for external prediction.

This study aims to identify latent subtypes of Chinese elderly patients with hypertension based on their health profiles, analyze underlying driving factors and provide scientific evidence for developing targeted health management strategies.

Using two waves (Wave 3 and Wave 4) of Harmonized CHARLS data, this study assessed the health status of Chinese elderly patients with hypertension across three dimensions, including physical condition, psychological condition and quality of life. Latent profile analysis identified health status subtypes, latent transition analysis explored inter-subtype transitions over time. Based on this, logistic regression and decision tree models were used to further investigate the key factors influencing the latent subtype transitions.

Four health status subtypes were identified: Comprehensive well-adapted,Multidimensional dysfunction, Low positive affect-driven, and High negative affect-sensitive. The Comprehensive well-adapted subtype had the highest stability (61.4%), while the Multidimensional dysfunction subtype had the lowest (4.10%). Gender,education, marital status, afternoon napping, physical exercise, social participation, sleep duration, and satisfaction with children and marriage were significantly associated with subtype transitions.

Elderly hypertensive patients exhibit high health status heterogeneity, necessitating targeted interventions. Priority should be given to solitary-living older women with lower education, and to promoting adequate sleep, physical exercise, and social engagement. Improved social support,community involvement and mental health services can enhance their quality of life.