Objective To investigate the association between plasma atherogenic index of plasma(AIP)and metabolism-associated steatotic liver disease(MASLD),and to evaluate the potential value of AIP as a predictive marker for MASLD risk.Methods We enrolled a total of 4 850 health check-up participants from The Second Affiliated Hospital of Xi'an Jiaotong University between June 2021 and May 2023.The participants were divided into quartiles(Q1-Q4)according to their AIP level.Biochemical indicators and MASLD prevalence were compared across groups.Logistic regression,subgroup analysis,and restricted cubic splines(RCS)were used to explore the relationship between AIP and MASLD.Results Among the 4 850 participants,the prevalence of MASLD was 26.08％(1 265/4 850).MASLD prevalence increased across AIP quartiles:4.0％,13.8％,30.8％,and 55.6％in Q1-Q4,respectively(P＜0.001).Compared with Q1,Q2-Q4 groups showed higher proportions of males,BMI,smokers,overweight/obesity,central obesity,prediabetes,hypertension,serum uric acid,and fatty liver index(FLI)(all P＜0.001).Lipid profiles worsened with increased AIP:total cholesterol,triglycerides,and LDL-C increased,while HDL-C decreased(P＜0.001).RCS analysis demonstrated a significant linear relationship between AIP and MASLD risk.After adjusting for confounders,the participants in Q4 had an 8.71-fold higher risk of MASLD than those in Q1(OR:8.71,95％CI:6.20-12.23,P＜0.001).A composite model incorporating AIP,BMI,and FLI showed superior discriminative performance(AUC:0.883,95％CI:0.873-0.892).Interaction analysis suggested that AIP had significant interactions with BMI,hypertension,and prediabetes(P＜0.05).In individuals without these metabolic abnormalities,the association between AIP and MASLD was more pronounced.Conclusion Elevated AIP was significantly associated with an increased risk of MASLD,with a stronger association observed in individuals with normal BMI,blood pressure,and blood glucose levels,suggesting that AIP may serve as a potential indicator for early screening of MASLD.

Objective:To evaluate the effect of lifestyle interventions based on mobile health technolo-gy on gestational weight gain among overweight or obese pregnant women,to explore the influencing fac-tors of the intervention effect,and to provide scientific evidence for weight management during pregnan-cy.Methods:The randomized controlled trial(RCT)design was used.From April 2024 to August 2024,200 singleton overweight or obese pregnant women aged 18-40 years in early pregnancy were re-cruited and stratified block-randomized according to body mass index(BMI)categories,age,and parity.The control group received routine prenatal care,while the intervention group received lifestyle interven-tions based on mobile health technology,which included biweekly face-to-face or telephone sessions;weekly recording of dietary behavior goals with personalized feedback on WeChat public account;6 000 steps per day and 150 minutes of brisk walking per week;and weekly weight recording with personalized feedback.Based on the intention-to-treat principle,generalized linear mixed models were used to analyze the effects on weight gain and weight gain rate up to 24-28 gestational weeks,gestational diabetes melli-tus(GDM),and dietary and physical activity behaviors.Additionally,subgroup analysis and interaction analysis were conducted to explore whether intervention effects on weight gain varied by different maternal characteristics.Results:The mean age of the women in the intervention and control groups was(30.49±3.99)years and(29.83±3.95)years,respectively,with gestational weeks at enrollment being(11.35±1.61)weeks and(11.26±1.52)weeks.No statistically significant differences were observed in the baseline characteristics between the two groups(P＞0.05).In the study,10 and 12 participants were lost to the follow-up in the intervention and control groups,respectively,with 178 women comple-ting the midterm follow-up.At the midterm follow-up(24-28 weeks),the weight gain in the interven-tion and control groups was(5.00±3.72)kg and(6.57±4.28)kg,respectively.After adjusting for age,parity,gravidity,region,pre-pregnancy BMI categories,and socioeconomic status,the between-group difference was-1.63 kg(95％CI:-2.80 to-0.46;P=0.007).The adjusted between-group difference in weight gain rate was-0.07 kg/week(95％CI:-0.11 to-0.02;P=0.005).Com-pared with the control group,the intervention group had lower fasting blood glucose at the oral glucose tolerance test(OGTT)by 0.19 mmol/L(95％CI:0.04 to0.33;P=0.013).No significant difference was observed in GDM incidence between the two groups.Among different subgroups based on characteris-tics,such as age,region,socioeconomic status,and parity,there was no statistically significant dif-ference in the effect on weight gain.Conclusion:The lifestyle interventions based on mobile health tech-nology effectively controlled weight gain up to 24-28 gestational weeks among overweight or obese women and improved fasting blood glucose level.This has significant public health implications for impro-ving the health of overweight or obese pregnant women in China.

Objective:To establish a predictive model for the risk of cognitive impairment in patients with hypertension.Methods:Data were obtained from the China Health and Retirement Longitudinal Study(CHARLS),and 17 indicators were analyzed,including demographic features,behavioral factors,and health status.The study cohort was randomly divided into a training set(n=2 918)and an internal validation set(n=1 249)at a ratio of 7∶3,and 1 457 patients with hypertension who were treated in Chongqing Traditional Chinese Medicine Hospital from January to December 2024 were included as an external validation set.The least absolute shrinkage and selection operator regression analysis was used to identify predictive variables,and 10-fold cross-validation was used to determine the optimal model.A logistic regression model was used to investigate the risk factors for cognitive impairment in patients with hypertension,and then a nomogram prediction model was established.The calibration curve was used to assess the accuracy of the model,and the area under the ROC curve(AUC)and the decision curve analysis were used to assess the predictive performance of the model.Results:A total of 4167 hypertensive patients aged≥45 years were included from the CHARLS database,among whom 668 had cognitive impairment.The multivariate logistic regression analysis showed that age(odds ratio[OR]=1.408,95%CI=1.040-1.056),sex(OR=0.570,95%CI=0.492-0.660),body mass index(OR=0.931,95%CI=0.914-0.948),educational level(OR=0.235,95%CI=0.200-0.277),place of residence(OR=1.674,95%CI=1.447-1.936),physi-cal activity(OR=0.459,95%CI=0.373-0.562),depression(OR=1.386,95%CI=1.198-1.604),and total cholesterol level(OR=0.997,95%CI=0.995-0.999)were predictive variables.The ROC curve analysis showed that the nomogram model had good performance,with an AUC of 0.814(95%CI=0.802-0.826)in the training set,0.817(95%CI=0.788-0.846)in the internal validation set,and 0.725(95%CI=0.699-0.752)in the external validation set.Conclusion:The nomogram model developed in this study can effectively predict the risk of cognitive impairment in Chinese patients with hyperten-sion and has a good application value.

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.

Objective:To analyze the short-term hospital-based transmission characteristics and gene variation of Carbapenem-Resistant Klebsiella pneumoniae (CRKP) by genome-wide technique to provide evidence for transmission control. Methods:The experimental strain was derived from all the CRKP isolated in Affiliated Hospital of North China University of Science and Technology from October 2022 to December 2023. Strain identification and drug susceptibility were tested with VITEK 2-Compact automatic bacterial identification drug susceptibility analyzer or disk method, and the results were interpreted through whole genome sequencing. The ST type, carbapenem resistance gene, virulence factor, and O serotype of the collected strains were analyzed.Results:Among the 115 strains of CRKP, 94 strains were isolated from the intensive care unit (ICU), accounting for 81.7%, and 21 strains were isolated from the non-intensive care unit (NICU), accounting for 18.3%. The 115 strains of CRKP can be divided into 11 ST types, of which ST11 type was the most (54.8%, 63/115), followed by ST15 type (22.6%, 26/115) and ST5492 type (15.7%, 18/115). Type ST5492 was a new clonal group in the region. The 115 strains of CRKP could be divided into 7 O serotypes, most of which were O2a type(32.2%,37/115), followed by O5 type(30.4%,35/115) and O1 type(27.8%,32/115). The resistance genes of carbapenem antibiotics showed that there were 107 strains carrying the blaKPC-2 gene, one strain with the blaNDM-1 gene, and one strain with both the blaKPC-2 and blaNDM-13 genes. Virulence genes were detected in 55 CRKP strains (47.8%, 55/115), among which six strains detected peg-344, iucA, iroB, rmpA, and rmpA2 virulence genes (5.2%, 6/115). Four virulence genes ( peg-344, iucA, rmpA, and rmpA2) were detected in 34 strains (29.6%, 34/115). Three virulence genes ( iucA, iroB and rmpA) were detected in two strains (1.7%, 2/115). Three virulence genes ( peg-344, iucA and rmpA) were detected in one strain (0.8%, 1/115). IucA and rmpA virulence genes were detected in 12 strains (10.4%, 12/115). KPC-2_ST11_O2a, KPC-2_ST15_O1 and KPC-2_ST5492_O5 were dominant clones, and their distribution was mainly in the intensive care unit. The whole genome sequence analysis showed that there were three dominant clones, among which ST11 clones were subdivided into three dominant O serotypes, all of which were mainly in the intensive care unit. Conclusion:The popular strain in the hospital of CRKP is a KPC-2_ST11 clone group carrying iucA, rmpA/rmpA2, with cross-department transmission and mutation. ST5492 is a newly-launched clone type. The intensive care unit of hvKP carrying five virulence genes, including peg-344, should be alert to the epidemic risk of CR-hvKP outbreak.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective:To analyze the carriage status, subtype distribution and flanking gene sequence characteristics of oxacillinases (OXA enzyme) in 241 clinical strains of Pseudomonas aeruginosa, and assess their roles in the drug resistance of Pseudomonas aeruginosa and ability to horizontally transfer across species. Methods:Clinical P. aeruginosa isolates were collected from four hospitals in Sanya, Tangshan, Zhangjiakou, and Beijing. The prevalence of oxacillinases and their flanking gene sequences was analyzed by whole-genome sequencing (NGS) and bioinformatic approaches. Results:A total of 241 isolates of P. aeruginosa were gathered, and 35 blaOXA subtypes were identified through screening of 252 blaOXA genes. These genes were classified into three subfamilies: blaOXA-50-like (241, 95.6%), blaOXA-1-like (9, 3.6%) and blaOXA-10-like (2, 0.8%). Among these, 11 subtypes (11, 31.4%) were novel blaOXA subtypes. Nine of these belonged to the blaOXA-50-like subfamily and were designated as blaOXA-1244, blaOXA-1245, blaOXA-1246, blaOXA-1250, blaOXA-1252, blaOXA-1253, blaOXA-1254, blaOXA-1255, and blaOXA-1256. The remaining two belonged to the blaOXA-10-like subfamily and were named blaOXA-1247 and blaOXA-1248. Compared to the amino acid sequence of OXA-10, the newly identified subtype OXA-1247 exhibited a mutation at position 117, where a valine was replaced by a leucine. This change was thought to improve the enzyme′s ability to hydrolyze carbapenems. In the analysis of the flanking sequences of the blaOXA genes, Class I integrons were identified in four bacterial strains. The variable regions of these integrons carried three distinct patterns of resistance gene cassettes: aac( 6′) -Ib-blaOXA-1247-ant( 3′′) -Ia, aac( 6′) -Ib-blaOXA-1248 and aac( 6′) -Ib- blaIMP-45-blaOXA-1-catB3. Among these, the strain BJ2326 carried a class I integron that was connected to the downstream IS CR1 element to form a composite class I integron structure, additionally carrying the resistance gene blaPER-1. Out of the 223 non-wild-type P. aeruginosa strains, 127 strains exhibited non-wild-type profiles to the four beta-lactam antibiotics MEM, CAZ, FEP, and TZP, with the combination of MEM+CAZ+FEP being the most prevalent, representing 57.0% of the total. Conclusions:The blaOXA genes in 241 clinical P. aeruginosa strains showed diversity. Some blaOXA genes had a co-transfer risk with the metallo-β-lactamase resistance gene blaIMP-45. Among the 11 newly discovered blaOXA subtypes, the new subtype OXA-1247 may have carbapenemase activity and potential for horizontal transfer.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

AIM:This study aims to investigate the mechanisms underlying skeletal muscle mitochondrial damage associated with decline in exercise function during high-altitude de-adaptation,using a mouse model.METHODS:Twen-ty-four healthy male C57BL/6J mice were randomly assigned to two groups:a high-altitude de-adaptation group and a plain control group.The model group was exposed to a low-pressure,low-oxygen chamber simulating an altitude of 7 000 meters for two weeks,followed by eight days of rearing in a plain environment.The control group was maintained in a plain envi-ronment for the same duration.Grip strength and pole-climbing tests were conducted on the 1st,3rd,and 5th days post-re-turn to assess muscle strength and motor coordination.Treadmill exercises were performed on the 4th and 8th days to eval-uate exercise endurance.After the treadmill exercise on the 8th day,serum,liver,and skeletal muscle tissues were col-lected.Levels of lactic acid(LA),glucose(GLU),creatine kinase(CK),lactate dehydrogenase(LDH),alanine trans-aminase(ALT),and aspartate aminotransferase(AST)in serum,as well as glycogen levels in the liver and muscle,were analyzed.Additionally,the expression of proteins related to mitochondrial biogenesis,fission,fusion,and oxidative phos-phorylation in muscle tissues was assessed using Western blot.RESULTS:(1)The model group exhibited significant re-ductions in grip strength,increased pole-climbing T-turn and total times,and decreased total time and distance in the ex-haustion running test.(2)Serum levels of LA,CK,LDH,ALT,and AST were elevated,while GLU levels decreased,and glycogen levels in both the liver and muscle were reduced in the model group following the treadmill exercise.(3)Ab-normal indicators in the model group did not return to normal by the end of the de-adaptation period.(4)Western blot analysis revealed decreased expression of mitochondrial oxidative phosphorylation proteins(ATP6V1A and Mt-CO2)and mitochondrial biogenesis proteins(PGC-1α and FGF21),increased levels of mitochondrial fusion proteins(OPA1 and MFN1),and no significant changes in fission protein expression(FIS1 and DRP1)in muscle tissue from the model group.CONCLUSION:Exercise capacity in mice during the high-altitude de-adaptation period significantly declined,particu-larly in terms of muscle strength,motor coordination,and endurance.This decline is closely associated with abnormal pro-tein expression related to skeletal muscle mitochondrial energy metabolism and production.