Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To construct multimorbidity patterns among elderly individuals with chronic diseases and to explore the relationship between these patterns and frailty.Methods:A cross-sectional study was conducted involving 4, 706 elderly participants aged 60 years and older from selected prefecture-level cities in Shaanxi Province.Data were collected on general information, chronic diseases, and frailty status.The average age of the participants was 69.9±6.7 years, with males comprising 47.3%(2, 255 cases)and females comprising 52.7%(2, 481 cases)of the sample.Latent class analysis(LCA)was employed to identify multimorbidity patterns, while multivariate logistic regression analysis was utilized to examine the associations between these patterns and frailty.Results:The prevalence of multimorbidity within the study population was found to be 43.6%(2, 052 cases out of 4, 706 cases).The highest rates of multimorbidity were observed in anxiety and depression(100%, 23 cases out of 23 cases), dementia(100%, 6 cases out of 6 cases), and Parkinson's disease(100%, 11 cases out of 11 cases).Stroke followed closely with a rate of 96.8%(597 cases out of 617 cases), while rheumatoid arthritis exhibited the lowest rate of multimorbidity with other chronic diseases at 50%(4 cases out of 8 cases).Five distinct multimorbidity patterns were identified through LCA: the complex multimorbidity class(123 cases), the stroke-respiratory class(546 cases), the sleep disorders-osteoarticular class(488 cases), the cardiovascular-metabolic class(987 cases), and the relatively healthy class(2, 562 cases).When compared to the relatively healthy class, the complex multimorbidity class( OR=2.317, 95% CI: 1.573-3.412), stroke-respiratory class( OR=2.279, 95% CI: 1.862-2.788), sleep disorders-osteoarticular class( OR=1.370, 95% CI: 1.111-1.691), and cardiovascular-metabolic class( OR=1.185, 95% CI: 1.003-1.400)were all found to be significantly associated with frailty. Conclusions:The cardiovascular-metabolic class is the most prevalent among elderly individuals.Various patterns exhibit distinct associations with frailty, with the complex multimorbidity class and the stroke-respiratory class being the most significant, as they markedly elevate the risk of frailty.

Objectives:To analyze the epidemiological characteristics and incidence trends of chronic hepatitis B in Shenzhen from 2005 to 2023, develop a prediction models with performance evaluation, explore its associations with social demographic index (SDI) and inform targeted prevention strategy development.Methods:Based on surveillance data of infectious diseases, descriptive epidemiological methods were applied to analyze the spatiotemporal and population distribution characteristics. A multifactorial prediction model integrating the SDI was established, and its predictive performance was evaluated by using data from 2020-2023. Model accuracy was evaluated by using root mean square error and mean absolute percentage error ( MAPE). The association between SDI and incidence rates was assessed through generalized linear models. Results:A total of 235 703 chronic hepatitis B cases were reported cumulatively in Shenzhen from 2005-2023, with an annual average incidence rate of 98.84/100 000. Long-term trends revealed a significant increase in the incidence from 2005 to 2019. The incidence rate was 2.48 times higher in men than in women, and the majority of cases occurred in age group 20-50 years. The cases were mainly workers in manufacturing and services. Seasonal incidence peaks were observed in March and during May to November. The overall SDI exhibited a consistent upward trend, and the positive correlation between SDI and incidence rate was observed in central urban districts (Futian and Nanshan). In contrast, industrial zones (Guangming and Bao'an) saw a significant decline in incidence rates due to intensified prevention interventions despite the increase of SDI level. Model predictions indicated that the multivariate long short-term memory (LSTM) deep learning model integrating SDI parameters outperformed both the spatiotemporal covariate- enhanced model and the augmented Bayesian structural time series model, with MAPE of 4.71%, 7.66% and 10.30%, respectively. Conclusion:SDI is a key social determinant associated with hepatitis B transmission risks, and dynamic thresholds can be established to develop tiered early warning mechanisms. It is suggested to integrate multisource SDI data into the LSTM framework, implement targeted interventions such as "rapid antibody screening in key areas + vaccination boosters for high-risk populations" and improve the timeliness of epidemic response through hybrid models to reduce disease burden level.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To explore the relationship between obesity indicators and DNA methylation clocks acceleration,and to analyze their temporal sequence.Methods:Data were obtained from two sur-veys conducted in 2013 and 2017-2018 by the Chinese National Twin Registry.Peripheral blood DNA methylation data were measured using the Illumina Infinium Human Methylation 450K BeadChip and EPIC BeadChip.DNA methylation clocks/acceleration metrics(GrimAA,PCGrimAA and Dunedin-PACE)were calculated using the DNA methylation online tool(https://dnamage.genetics.ucla.edu/)or R code provided by researchers.Obesity indicators included weight,body mass index(BMI),waist circumference,waist-hip ratio,and waist-height ratio.A total of 1 070 twin individuals were included in the cross-sectional analysis,comprising 378 monozygotic(MZ)twin pairs and 155 dizygotic(DZ)twin pairs for within-pair analysis.Mixed-effects models were used to examine the associations between obesity indicators and DNA methylation clocks,as well as their acceleration measures.The longitudinal analysis included 314 twin individuals,comprising 95 MZ twin pairs and 62 DZ twin pairs for within-pair analy-sis.Cross-lagged panel models were applied to further explore the temporal relationships between obesity and DNA methylation clock indicators.All analyses were conducted both in the full twin sample and separately within MZ and DZ twin pairs.Results:In the cross-sectional analysis population,monozygotic twins accounted for 71.0％,males for 68.0％,and the mean chronological age was(49.9±12.1)years.In the longitudinal analysis population,monozygotic twins accounted for 60.5％,males for 60.8％,with a mean baseline chronological age of(50.4±10.2)years and a mean follow-up duration of(4.6±0.6)years.Except for the waist-to-hip ratio,which was significantly higher at follow-up com-pared with baseline,no statistically significant differences were observed in the means of other obesity in-dicators between baseline and follow-up.Correlation analysis revealed that weight,BMI,waist circumfe-rence,waist-hip ratio(WHR),and waist-height ratio(WHtR)were positively correlated with Dunedin-PACE in all the twins,with WHtR showing the strongest association(β=0.21,95％CI:0.11 to 0.31).Weight and BMI were negatively associated with GrimAA(β=-0.03,95％CI:-0.05 to-0.01;β=-0.07,95％CI:-0.12 to-0.02),while weight was negatively associated with PCGrim-AA(β=-0.02,95％CI:-0.03 to 0.00).However,within-twin-pair analyses showed no statistically significant correlations.Cross-lagged panel model analysis indicated that higher baseline weight might lead to increased GrimAA at follow-up,while elevated baseline weight,BMI,and waist circumference might increase PCGrimAA.Higher baseline WHR was associated with increased DunedinPACE at follow-up.Conclusion:Obesity indicators correlate with DNA methylation clock acceleration metrics.Baseline obesity may influence changes in certain DNA methylation clock indicators over time,suggesting that obesity could exert long-term health effects by accelerating DNA methylation aging.However,these associations may be confounded by shared genetic or environmental factors among the twins.

Objective To explore the effectiveness of the diffusion of innovation theory in com-bination with multidisciplinary nursing collaboration in intervention for patients with severe pneumonia complicated by heart failure.Methods A total of 120 patients with severe pneumonia complicated by heart failure admitted between April 2021 and April 2024 were enrolled and randomly divided into observation group(n=60)and control group(n=60)using a random black-and-white ball method.The control group received conventional nursing intervention,while the observation group received an intervention model combining the diffusion of innovations theory with multidisciplinary collaboration on top of the conventional nursing.Rehabilitation outcomes(time to control of pulmonary inflammation,time to resolution of cough and expectoration,length of hospital stay)and post-intervention cardiac function[left ventricular ejection fraction(LVEF),left ventricular end-systolic volume(LVESV)]were compared between the two groups.The Minnesota Living with Heart Failure Questionnaire(MLHFQ)was used to assess quality of life,and the Self-Care Heart Failure Index(SCHFI)was used to evaluate self-care behaviors.Complications were compared between the two groups,and cost-effectiveness was analyzed(patient medical expenses and re-hospitalization rates).Results The observation group had shorter time to resolution of cough and expectoration,control of pulmonary inflammation,and length of hospital stay compared with the control group,with statistically significant differences(P＜0.05).After intervention,LVEF increased in both groups compared with pre-intervention lev-els,and was higher in the observation group than in the control group,with a statistically significant difference(P＜0.05);ESV decreased in both groups compared with pre-intervention levels,and was lower in the observation group than in the control group,with a statistically significant difference(P＜0.05).After intervention,physiological,emotional,and social functioning scores in the MLHFQ decreased in both groups compared with pre-intervention levels,and were lower in the ob-servation group than in the control group,with statistically significant differences(P＜0.05).After intervention,scores for self-care maintenance,self-care management,and self-care confidence in the SCHFI increased in both groups,and were higher in the observation group than in the control group,with statistically significant differences(P＜0.05).There was no statistically significant difference in the incidence of complications between the two groups(P＞0.05).Conclusion The combination of the diffusion of innovations theory and multidisciplinary collaboration nursing model can accelerate the rehabilitation process in patients with severe pneumonia complicated by heart fail-ure,improve their quality of life,and effectively enhance their self-care abilities.

Patients with lacunar infarction (LI) have a higher risk of stroke recurrence compared to other types of stroke, and it is an important pathological basis for vascular dementia. Homocysteine (Hcy) is closely associated with the occurrence and development of LI. The mechanism by which Hcy causes LI involves multiple complex biological processes (including inflammation, oxidative stress, endothelial dysfunction, etc.) and synergistic effects with various risk factors (such as hypertension and hyperglycemia), but the specific mechanism is currently not fully elucidated.

The traditional diagnosis and treatment mode of ischemic stroke faces challenges such as limited diagnostic time window, insufficient drug targeting, and difficulty in penetrating the blood-brain barrier. Nanomaterials, with their unique physicochemical properties and biological effects, provide innovative solutions for precise diagnosis and treatment. In terms of diagnosis, targeted thrombus nanoprobes constructed from nanomaterials, combined with MRI or CT, can achieve high sensitivity and visual detection of thrombi. The development of nano-biosensors has significantly improved the detection efficiency and accuracy of specific biomarkers for ischemic stroke. In terms of treatment, nano-drug carrier systems can efficiently load thrombolytic drugs and promote their penetration of the blood-brain barrier, achieving targeted delivery. Biomimetic nanoparticles effectively promote angiogenesis and neurological function repair in ischemic brain regions by regulating inflammation and oxidative stress. This article systematically reviews the application progress of nanomaterials in the diagnosis and treatment of ischemic stroke, aiming to provide a basis for promoting the translation of nanotechnology from basic research to clinical practice, and to provide new ideas for precise diagnosis and treatment of ischemic stroke.

Objective:To evaluate the impact of postoperative radiotherapy (RT) and associated risk factors on the prognosis of patients undergoing postmastectomy breast reconstruction (PMBR) for breast cancer.Methods:A retrospective analysis was conducted on 1593 breast cancer patients who underwent PMBR at Tianjin Medical University Cancer Institute & Hospital between January 2010 and October 2023. Patients were divided into an RT group ( n = 351) and a non-RT group ( n =1242) based on whether postoperative radiotherapy was administered. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoint was the incidence of revision surgery. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used for pairing. Continuous variables were compared between the two groups using the independent samples t-tests, while categorical variables were compared using chi-square tests, and survival analysis was performed using the Kaplan-Meier method. Cox proportional hazards model was used to analyze survival influencing factors, and include propensity factors with P<0.2 in univariate analysis into multivariate analysis. Results:In the RT group, there were 3 deaths (0.9%) and 21 cases of disease progression (6.0%); in the non-RT group, 7 patients died (0.56%) and 40 experienced disease progression (3.22%). The median OS was 20.1 months (range: 0.1-164.9), and the median PFS was 19.5 months (range: 0.1-160.9). Pregnancy-associated breast cancer and higher N stage were identified as significant risk factors for OS, while neoadjuvant therapy, absence of adjuvant chemotherapy or endocrine therapy, and higher T stage were significant risk factors affecting patients' PFS. Radiotherapy significantly reduced the survival risk for PMBR patients with pregnancy-associated breast cancer or those receiving neoadjuvant therapy ( P=0.019, 0.027). Compared with other reconstruction methods, implant-based reconstruction was associated with a lower incidence of postmastectomy revision surgery(10.5% vs. 17.0%, P<0.001). Even after radiotherapy, the revision surgery incidence for implant-based reconstruction remained lower than that of other methods (12.2% vs. 14.2%, P=0.591). Compared with other reconstruction types, expander-based reconstruction was associated with an increased incidence of revision surgery (31.9% vs. 10.9%, P<0.001). Conclusions:Postmastectomy radiotherapy can reduce survival risk in PMBR patients with pregnancy-associated breast cancer or who received neoadjuvant therapy, showing positive effects on OS and PFS in high-risk patients. Pregnancy, higher T/N stage, and specific treatment strategies are critical factors influencing the prognosis of PMBR patients. Implant-based reconstruction is associated with a lower incidence of revision surgery, which remains low even after RT, whereas expander-based reconstruction may increase the long-term risk of revision surgery.

Objectives:To analyze the epidemiological characteristics and incidence trends of chronic hepatitis B in Shenzhen from 2005 to 2023, develop a prediction models with performance evaluation, explore its associations with social demographic index (SDI) and inform targeted prevention strategy development.Methods:Based on surveillance data of infectious diseases, descriptive epidemiological methods were applied to analyze the spatiotemporal and population distribution characteristics. A multifactorial prediction model integrating the SDI was established, and its predictive performance was evaluated by using data from 2020-2023. Model accuracy was evaluated by using root mean square error and mean absolute percentage error ( MAPE). The association between SDI and incidence rates was assessed through generalized linear models. Results:A total of 235 703 chronic hepatitis B cases were reported cumulatively in Shenzhen from 2005-2023, with an annual average incidence rate of 98.84/100 000. Long-term trends revealed a significant increase in the incidence from 2005 to 2019. The incidence rate was 2.48 times higher in men than in women, and the majority of cases occurred in age group 20-50 years. The cases were mainly workers in manufacturing and services. Seasonal incidence peaks were observed in March and during May to November. The overall SDI exhibited a consistent upward trend, and the positive correlation between SDI and incidence rate was observed in central urban districts (Futian and Nanshan). In contrast, industrial zones (Guangming and Bao'an) saw a significant decline in incidence rates due to intensified prevention interventions despite the increase of SDI level. Model predictions indicated that the multivariate long short-term memory (LSTM) deep learning model integrating SDI parameters outperformed both the spatiotemporal covariate- enhanced model and the augmented Bayesian structural time series model, with MAPE of 4.71%, 7.66% and 10.30%, respectively. Conclusion:SDI is a key social determinant associated with hepatitis B transmission risks, and dynamic thresholds can be established to develop tiered early warning mechanisms. It is suggested to integrate multisource SDI data into the LSTM framework, implement targeted interventions such as "rapid antibody screening in key areas + vaccination boosters for high-risk populations" and improve the timeliness of epidemic response through hybrid models to reduce disease burden level.