To explore the application of integrated clustering methods in identifying low-grade glioma subtypes and prognostic prediction.

A comprehensive clustering algorithm (MOVICS), which pools ten clustering algorithms, was used to integrate the multi-omics data of LGG patients downloaded from TCGA to obtain cluster subtypes; prognostic factors of LGG were analyzed by multifactorial Cox regression. A random forest classification prediction model was constructed using mRNA data to evaluate the classification performance and externally validated with the CGGA dataset.

LGG patients were clustered into two subtypes, and the difference in survival between the two groups was statistically significant (χ²=54.410, P<0.001). The results of multifactorial Cox regression analysis showed that age (HR=1.053，95%CI: 1.037-1.069), cancer grade (HR=2.733，95%CI: 1.836-4.069) and cluster typing (HR=3.210，95%CI: 2.216-4.650) were all prognostic factors for LGG, and the results of Nomogram plots, calibration curves and ROC curves indicated good predictive performance of the model. The average prediction accuracy of the ten-fold cross-validated RF model was 87.81%, and the C-indexes of the training set, the internal validation set, and the two external validation sets were 0.717, 0.721, 0.574, and 0.572, and the Brier scores were 0.044, 0.066, 0.179, and 0.128, and the differences in the survival of the two external validation datasets were all statistically significance (P<0.05).

The comprehensive clustering method can effectively identify LGG subtypes, which are prognostic factors for LGG patients, and has been validated in an external dataset, CGGA, which can provide an important theoretical basis for clinical personalized treatment of LGG.

To analyze the epidemiological characteristics, spatial clustering, and influencing factors of tuberculosis recurrence in Kashgar within three years after successful treatment to provide a scientific basis for tuberculosis recurrence management.

Taking the tuberculosis patients successfully treated in Kashgar from 2013 to 2020 as the research object, we observed the recurrence epidemic characteristics, conducted spatial analysis to understand the recurrence clustering, and used the Cox regression model to explore the influencing factors.

Among the 104 899 objects,14 180 experienced recurrences within three years, with a cumulative recurrence rate of 13.52%. Spatial analysis showed a positive spatial correlation of tuberculosis recurrence, with recurrence hotspots mainly concentrated in Shache, Yingjisha, and Bachu counties. The Cox model showed that male (aHR=1.155, 95%CI: 1.118-1.195), Uyghur (aHR=2.186, 95%CI: 1.786-2.681), 45-<60 age groups (aHR=1.631, 95%CI: 1.061-2.507) and ≥60 age groups (aHR=1.782, 95%CI: 1.160-2.738), farmers and herdsmen (aHR=1.104, 95%CI: 1.039-1.173), re-treatment (aHR=1.086, 95%CI: 1.036-1.138), positive aetiology result (aHR=1.377, 95%CI: 1.324-1.432), positive sputum smear after two months of treatment (aHR=1.699, 95%CI: 1.501-1.924), total delay ≥30 days (aHR=1.129, 95%CI: 1.088-1.171) and living in hotspots (aHR=1.470, 95%CI: 1.413-1.530) were independent risk factors for recurrence after successful treatment.

Priority should be given to improving the monitoring and management of patients in hotspot regions and those at high risk of relapse after treatment to ensure early detection of TB relapse and standardized care.

To systematically analyze randomized controlled trials (RCT) on improving the coordination of care in emergency medical services (EMS), and to mainly focus on sequential intervention that aimed to achieve seamless care between difference service settings, as well as to provide evidence-based suggestion for improving the integration of emergency medical system.

Using keyword and Mesh-term search, Embase, PubMed, CNKI, Wanfang Database and other eight databases were searched to identify related studies, and then the interventions were confirmed by study screening and quality evaluation. Effectiveness of the interventions were assessed according to treatment time, patient outcomes and satisfaction.

In total, 19 articles were included. Sequential intervention maximumly could shorten pre-hospital time and in-hospital time by 68.7 minutes and 79.8 minutes, respectively. The incidence of adverse events could be reduced by from 3.8% to 16.7%. There were significant reductions in the rates of readmission (20%), mortality (17%) and complication (28.9%). The functional status and satisfaction of the patients in the intervention group were better than that in the control group.

Interventions aiming to improve coordination of care in EMS play a positive role in shortening treatment time and improving patient outcome. Given the quality of the included studies, study locations and study sample, future studies should pay more attention to the rigorousness of their study design and the completeness of their outcome report.

To investigate the causal relationship between immune cell mediated liposomes and non-small cell lung cancer (NSCLC) using two-sample Mendelian randomization and two-step analysis.

Summary data of GWAS for plasma liposomes were obtained from the GWAS Catalog as exposure data. Summary data of GWAS for 731 types of immune cells were selected as potential mediators, and NSCLC data from the ninth release of the FinnGen database were used as outcome data. Inverse-variance weighted (IVW) was used for two-step. Two-sample Mendelian randomization analysis was used to investigate the causal relationship between liposomes and NSCLC and the mediating role of immune cells in the lipid-NSCLC association. Weighted median and MR-Egger methods were used as supplements, along with pleiotropy and heterogeneity tests to ensure result stability.

The IVW method identified 36 liposomes associated with NSCLC, with no evidence of reverse causation. A total of 47 immune cell types were strongly associated with NSCLC. Notably, triglyceride (TG) (58:8) had a causal effect on NSCLC (OR=1.183, 95%CI: 1.061-1.319). The mediation effect mediated by Effector Memory CD8+ T cell %CD8+ T cell was 0.003 (95%CI: -0.007-0.013), accounting for 1.94% of the total effect, while the mediation effect mediated by CD8+ and CD8dim T cell %leukocyte was 0.012 (95%CI: -0.004-0.028), accounting for 7.24% of the total effect.

This study suggests a causal relationship between liposomes and NSCLC, identifying TG as a risk factor for NSCLC progression. Effector Memory CD8+ T cell %CD8+ T cell and CD8+ CD8dim T cell %leukocyte play a mediating role in this process.

To understand the trends and factors associated with newly reported HIV and syphilis infections among men who have sex with men (MSM) in Nanning city, and provide a reference for developing targeted prevention strategies for the MSM population.

A questionnaire survey was conducted among MSM people in Nanning, Guangxi from 2019 to 2023, and venous blood samples were collected to detect HIV, HCV and syphilis. The trend chi-square test was used to analyze the trends of newly reported HIV,syphilis, and self-reported sexually transmitted infections prevalence. Logistic regression was employed to identify factors associated with newly reported HIV and syphilis infection.

A total of 1,954 MSM participated in the survey. The prevalence of newly reported HIV and syphilis were 3.8% and 4.6%. Respectively, there was a significant decline in newly reported HIV prevalence, from 6.8% in 2019 to 2.5% in 2023 (，trend P<0.05), while newly reported syphilis prevalence increased from 1.8% to 11.1% during the same period (, trend P<0.05). The study identified several factors associated with newly reported HIV infection, including lower education levels (aOR=1.70,95%CI:1.04-2.77) and inconsistent condoms use during anal intercourse (aOR=10.11, 95%CI: 5.94-16.89). Lower education levels (aOR=2.74, 95%CI: 1.71-4.38), a history of drug use (aOR=6.96, 95%CI: 1.42-34.19), and a history of self-reported sexually transmitted diseases (aOR=10.37, 95%CI:5.79-19.89) were found to be associated with newly reported syphilis infection. aged ≥30 (aOR=0.50, 95%CI:0.31-0.81)was identified as a protective factor against syphilis infection.

The prevalence of newly reported HIV was a downward trend, but the trend of newly reported syphilis prevalence showed an upward trend among MSM in Nanning, 2019-2023. The study suggests that relevant health departments need to take targeted intervention measures for the MSM population in conjunction with the internet, improve the usage rate of condoms, and strengthen the regulation of drugs and pharmaceuticals.

To identify the influencing factors of stroke in elderly patients with hypertension based on community health survey, and establish a nomogram prediction model according to the influencing factors.

In 2022, the multi-stage sampling method was used to select the residents of Zhengzhou City, Henan province who lived for more than half a year for community health survey, and univariate and multivariate analysis was used to screen the influential factors of elderly hypertension patients complicated with stroke, and a nomogram prediction model was constructed. ROC curve, calibration curve and DCA decision curve are used to verify the accuracy and stability of the nomogram model.

A total of 15 995 elderly patients with hypertension were included in this study. The original data set was randomly divided into a training set and a validation set at 7:3. Model construction: The results of binary logistics analysis of the training set showed that age, gender, waist circumference, blood pressure control, overweight or obesity, exercise, smoking, drinking, balanced diet, dyslipidemia and heart disease were independent influencing factors for stroke. A nomogram model was constructed according to the results of multi-factor analysis. Model validation: the area under the ROC curve of the training set and the verification set is 0.748\0.779 respectively, and the calibration curve is well fitted, indicating that the model has good predictive value.

In this study, we established a nomogram prediction model for elderly hypertensive patients with stroke, including demographic characteristics, health status and lifestyle. The model is accurate and stable, which can help to screen high-risk individuals, provide clinical decision-making and prevention recommendations.

To conduct a comparative analysis of the research topics on home and international chronic disease management from 2013 to 2023, aiming to provide valuable insights for future studies.

The Chinese databases selected for this study were CNKI, Wanfang Database, and Sinomed, while the English database chosen was Web of Science core dataset. EndNote 20 software was utilized to gather literature on "chronic disease management", and visual analysis was conducted using VOSviewer and CiteSpace software.

A total of 6 621 Chinese articles and 4 096 English articles met the inclusion criteria. Over the course of the decade, there was a consistent upward trend in the number of articles pertaining to home-based chronic disease management both domestically and internationally. According to the co-occurrence cluster analysis, six clusters were identified in China for the management of chronic diseases, including community-based comprehensive disease management, common chronic disease management, self-management of chronic diseases, pharmaceutical care for chronic disease management, health education for chronic disease management, and traditional Chinese medicine-based prevention and treatment of chronic diseases. Abroad, there were also 6 cluster themes identified: Health-care of chronic diseases, Regional trends and management of chronic diseases, The impact of emergencies, Major chronic diseases, Quality of life for patients with chronic diseases, Multiple chronic diseases.

Foreign research is more sensitive to current affairs and frontier hotspots. Domestic research is based on domestic specific forms, which is more in line with the national conditions and has localized characteristics. Chronic disease management in China should continue to deepen the research on basic chronic disease management and chronic diseases in the elderly and other topics that fit the reality, and further develop the prevention and treatment of traditional Chinese medicine to form unique local advantages. At the same time, it keeps up with international research hotspots and supplements scientific research on digital health, mental health, multiple chronic diseases, etc.

To understand the epidemiological characteristics and trends of infant deaths due to perinatal diseases in China from 2012 to 2021, in order to provide a reference for the development of related prevention measures and policies.

An epidemiological analysis was conducted on the data of infant deaths due to perinatal diseases from 0-year-old group in the "Chinese Cause of Death Surveillance Dataset" for the years 2012-2021. The average annual percent change (AAPC) in mortality rates was analyzed using the Joinpoint regression model.

The overall mortality rate of infants due to perinatal diseases in China showed a downward trend from 2012 to 2021 (AAPC=-11.89, P<0.001). A declining trend was observed in both male and female infants, as well as urban and rural infants, with AAPCs of -11.73%, -11.98%, -18.70%, and -18.50%, respectively. There was a turning point in the trend for urban infants (APC=-5.20, P=0.124 for 2012-2016 and APC=-18.70, P<0.001 for 2016-2021). The annual average mortality rate due to perinatal diseases was higher in male infants (1.79 per thousand) than in female infants (1.36 per thousand) (χ²=776.474, P<0.001), and higher in rural infants (1.55 per thousand) than in urban infants (0.46 per thousand) (χ²=75.394, P<0.001). The overall mortality rates of "low birth weight, birth trauma and asphyxia, and others" showed a downward trend (AAPCs of -14.10%, -11.10%, and -9.60%, respectively, P<0.001), with differences between urban and rural areas observed in all three perinatal diseases (P<0.001 for each).

The mortality rate of infants due to perinatal diseases in China shows a general downward trend from 2012 to 2021, but the situation of deaths caused by perinatal diseases remains severe. The gap between urban and rural areas is significant, and priority should be given to the perinatal preventive health care of male infants and rural infants.

To investigate the association between lifestyle and the incidence and development trajectory of cardiometabolic multimorbidity.

Based on the China Health and Retirement Longitudinal Study(CHARLS) from 2011 to 2020, a total of 8 202 individuals aged 45 years and older were included. A Multi-state Markov model (MSM) was applied to analyze the effects of lifestyle on the trajectories of cardiometabolic multimorbidity.

The disease progression trajectories mainly involved transitions from health to first cardiometabolic diseases (FCMD), health to cardiometabolic multimorbidity (CMM) and FCMD to CMM. During the follow-up period, 2 962 participants developed FCMD, 687 participants developed CMM, and 699 participants died. The results indicated that transitioning from health to FCMD, being overweight or obese, having longer nighttime sleep duration, and lacking a habit of daytime naps were positively associated with FCMD, which were 1.40(95%CI: 1.30-1.52) times, 1.16(95%CI: 1.02-1.32) times, and 1.21(95%CI: 1.06-1.39) times higher than those of healthy lifestyle people, respectively. During the transition from health to CMM, being overweight or obese was positively associated with the increased incidence of CMM (HR=1.42,95%CI: 1.06-1.90). Transitioning from FCMD to CMM, only overweight or obesity was observed as a risk factor (HR=1.44,95%CI: 1.17-1.78).

Lifestyle may increase the risk of cardiometabolic diseases and multimorbidity, emphasizing the importance of lifestyle interventions in health management practices.