Objective To construct a prediction model for the population with hypertension and diabetes to assess the risk of chronic kidney disease (CKD), and to provide a scientific basis for formulating targeted CKD prevention and control measures. Methods Based on physical examination data from community residents aged 60 years and above in Nanjing in 2022, 10 221 patients with hypertension and diabetes were selected as the study subjects. Variables associated with CKD prevalence were screened using univariate analysis, and further variable selection was performed using LASSO regression. Finally, a CKD risk prediction model was constructed based on logistic regression. The model's performance was evaluated using the ROC curve and calibration curve. Results The prevalence rate of CKD in the study population was 22.71%, with a mean age of 71.66 years. LASSO regression identified seven variables associated with CKD: age, blood urea nitrogen (BUN), hemoglobin, uric acid, triglyceride-glucose (TyG) index, urine protein-to-creatinine ratio (UPCR), and medical insurance type. The final logistic regression model incorporated six variables: age [OR=1.067 (95% CI: 1.058-1.076)], BUN [OR=1.377 (95% CI: 1.338-1.418)], hemoglobin [OR=0.992 (95% CI: 0.989-0.995)], uric acid [OR=1.004 (95% CI: 1.003-1.004)], TyG index [OR=1.445 (95% CI: 1.324-1.577)], and self-payment medical insurance [OR=1.732 (95% CI: 1.542-1.945)]. The model had an AUC of 0.759 (95% CI: 0.747-0.770) and a Brier score of 0.140 (95% CI: 0.136-0.145), indicating good predictive performance. The calibration curve showed good agreement between the predicted risk and the observed value. Conclusion The constructed LASSO-logistic regression risk prediction model in this study can effectively assess the risk of CKD in elderly individuals aged 60 years and above with hypertension and diabetes, providing a basis for early identification of high-risk individuals and the formulation of targeted CKD prevention and control measures.

Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.

Objective To describe the clinical characteristics and nutritional management status of hospitalized elderly patients with multimorbidity in a tertiary hospital's geriatric center in 2024, and to analyze the correlation between nutritional status and hospitalization outcomes, thereby providing a basis for optimizing nutritional management pathways for this population. Methods A retrospective study was conducted, including 2 937 elderly patients with multimorbidity. Data on general information, clinical indicators, nutritional risk screening and assessment, nutritional therapy, and costs were collected for descriptive analysis. The relationship between nutritional status (based on BMI and serum albumin levels) and hospitalization outcomes was explored. Results The average age of the patients was (77.45±10.70) years, with 57.17% being male. The average number of chronic diseases diagnosed was (11.56±5.08) per patient, and 26.01% were critically ill. The nutritional risk screening rate was 80.40%, with a screening positivity rate of 33.44%. The nutritional assessment rate was 31.63%, and the malnutrition prevalence was 23.08%. The low BMI group had the longest median hospital stay [15 (9.75, 22) days] and the highest hospitalization costs [15 057.2 (8 980.48, 28 160.46) CNY]. Serum albumin levels were negatively correlated with hospital stay duration (rs=-0.276, P< 0.01) and hospitalization costs (rs=-0.276, P<0.01). Conclusion Hospitalized elderly patients with multimorbidity are characterized by multiple comorbidities and high healthcare resource consumption. While the nutritional risk screening rate is relatively high, there remains room for improvement in nutritional assessment and therapy. It is necessary to strengthen standardized management throughout the entire process. Nutritional status is a significant variable affecting hospital stay duration and costs, with poorer nutritional status significantly associated with prolonged hospitalization and higher costs, suggesting that it may be an important factor influencing hospitalization outcomes.

Objective:To analyze the blood-transition prototype components and metabolites of Fengliaoxing Fengshi Dieda medicinal liquor.Methods:Ultra-high performance liquid chromatographyquadrupole/electrostatic field orbital trap high resolution mass spectrometry (UHPLC-Q Exactive Focus MS/MS) technique was used to compare the chromatogram differences of Fengliaoxing Fengshi Dieda medicinal liquor extract, blank serum and drug-containing serum. According to the retention time, relative molecular weight and the ratio with primary and secondary ion fragments provided by MS, the prototype components and metabolites of Fengliaoxing Fengshi Dieda medicinal liquor extract were analyzed in serum of rats after oral administration. The detection conditions were as follows: the mobile phase of methanol (A)-0.1% formic acid solution (B) for elution gradient (0-5 min, 5%A; 5-60 min, 5%-95%A; 60-65 min, 95%A), the flow rate of 0.3 ml/min, heated electrospray ionization, detection range of m/z 80-1 200, positive and negative ion scanning modes.Results:A total of 31 transitional components were detected in the serum, of which 9 were prototype components and 22 were metabolites. The 9 prototype components were identified as phenylacetaldehyde, baogongteng C/ erycibellin, p-coumaric acid, 5-Hydroxymethylfurfural, quinic acid, paeonol, 3-Hydroxybenzaldehyde, salicylic acid, and isourecumenol. The 22 metabolites mainly consist of 11 organic acid components, 3 indole components, 2 organic phenolic components, 2 alkaloid components, 1 nucleoside component, 1 amino acid component, 1 lactone component, and 1 sulfonic component. The metabolic pathways were mainly glucuronidation, sulfation and others, which by phase Ⅱ metabolism.Conclusion:Organic phenols and organic acids are the main components that enter the body of Fengliaoxing Fengshi Dieda Medicinal Liquor, while alkaloid compounds and organic acid components may be potential active ingredients for its pharmacological effects.

Osteoarthritis (OA) causes chronic pain that significantly impairs quality of life, with current treatments often proving insufficient and accompanied by adverse effects. Recent research has identified the dorsal root ganglion (DRG) and its resident macrophages as crucial mediators of chronic OA pain through neuroinflammation driven by macrophage polarization. We present a novel injectable thermo-sensitive hydrogel system, KAF@PLEL, designed to deliver an anti-inflammatory peptide (KAF) specifically to the DRG. This biodegradable hydrogel enables sustained KAF release, promoting the reprogramming of DRG macrophages from pro-inflammatory to anti-inflammatory phenotypes. Through comprehensive in vitro and in vivo studies, we evaluated the hydrogel's biocompatibility, effects on macrophage polarization, and therapeutic efficacy in chronic OA pain management. The system demonstrated significant capabilities in preserving macrophage mitochondrial function, suppressing neuroinflammation, alleviating chronic OA pain, reducing cartilage degradation, and improving motor function in OA rat models. The sustained-release properties of KAF@PLEL enabled prolonged therapeutic effects while minimizing systemic exposure and side effects. These findings suggest that KAF@PLEL represents a promising therapeutic approach for improving outcomes in OA patients through targeted, sustained treatment.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To evaluate the effect of different doses of esketamine combined with propofol medium and long chain fat emulsion in painless gastroenteroscopy.Methods 144 patients who were scheduled to receive painless gastroenteroscopy from January 2022 to December 2023 were randomly divided into four groups with 36 cases in each group.The load dose of esketamine in group A,group B and group C was 0.2,0.3 and 0.4 mg/kg respectively,and group D was treated with equivalent normal saline instead of esketamine as the control.All the patients were administrated with propofol medium and long chain fat emulsion during the examination.Heart rate(HR),mean arterial pressure(MAP)and percutaneous arterial oxygen saturation(SpO2)were recorded immediately after electrocardiograph monitoring was established(T0),immediately before examination(T1),immediately after gastroscopy placement(T2),immediately before colonoscopy(T3),immediately after colonoscopy implantation(T4)and immediately after examination(T5).The dosage of propofol medium and long chain fat emulsion,recovery time and discharge time were compared among the four groups.Patients were assessed with quality of recovery-40 questionnaire(QoR-40)at T0 and at wake time(T6).The adverse reactions of the four groups were compared.Results There were statistically significant differences in the temporal effects of HR,MAP and SpO2 among the 4 groups(F=3.91,21.65,6.17,P＜0.05);There were statistically significant differences in the intergroup effects of HR,MAP and SpO2 among the 4 groups(F=14.57,7.14,30.34,P＜0.05).The variation trend of SpO2 in groups A,B,C and D was statistically significant(F=2.88,P＜0.05).The first and total dosage of propofol medium and long chain fat emulsion,and the recovery time of the four groups were statistically significant(P＜0.05).The initial dosage and total dosage of propofol medium and long chain fat emulsion in group A,group B and group C were significantly lower than those in group D(P＜0.05),and group B and group C were significantly lower than group A(P＜0.05),but there was no significant difference between group B and group C(P＞0.05).The recovery time of group A and group B were significantly shorter than that of group C and group D(P＜0.05),and group C was significantly longer than that of group D(P＜0.05),and there was no significant difference between group A and group B(P＞0.05).There was no significant difference in the time of get discharged from the hospital among the four groups(P＞0.05).The total scores of QoR-40 in four group at T6 were significantly lower than those at T0 respectively(P＜0.05).T6 QoR-40 total score:group B was significantly higher than group A,Group C and group D(P＜0.05),group A and group C were significantly higher than group D(P＜0.05),and there was no significant difference between group A and group C(P＞0.05).There were significant differences in the incidence of hypoxemia,hypotension,bradycardia,tachycardia,body movement and dizziness among the four groups(P＜0.05).The incidence of hypoxemia,hypotension and bradycardia in group B and group C was significantly lower than that in group D(P＜0.083),and the incidence of dizziness in group C was significantly higher than that in group D(P＜0.0083).Among them,1 case in group A and 3 cases in group D needed mask pressure ventilation due to hypoxemia.There was no significant difference in the incidence of nausea and vomiting among the four groups(P＞0.05).Conclusion During painless gastroenteroscopy,the application of 0.3 mg/kg esketamine combined with propofol medium and long chain fat emulsion can help maintain the hemodynamic stability,alleviate the respiratory and circulatory inhibition caused by propofol medium and long chain fat emulsion,accelerate recovery,and reduce adverse reactions in patients.

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 prepare hollow mesoporous silicon nanoparticles ( HMSNs) loaded with allicin—diallyl trisulfide (DATS) , and to study their feasibility as a therapeutic agent for ischemic injury of lower limbs . Methods: HMSNs were synthesized by selective etching , and their microstructure was observed by scanning and transmis- sion electron microscopy. Their physical and chemical properties were analyzed by X-ray diffraction and dynamic light scattering (DLS) . Their biological safety was tested by erythrocyte hemolysis and cytotoxicity experiments . DATS was loaded into HMSNs by adsorption to obtain DATS sustained release nanoparticles (DATS-HMSNs) , and the cumulative release curve of DATS was calculated and produced by ultraviolet spectrophotometry. C57BL/6 mice were randomly divided into four groups (sham operation group , normal saline group , DATS group , and DATS-HM- SNs group) . Lower limb ischemia models were made by femoral artery ligation and resection . The exercise ability and the contents of tumor necrosis factor alpha (TNF-α ) , interleukin-6 (IL-6) , monocyte chemoattractant protein- 1 (MCP-1) , reactive oxygen species (ROS) , platelet-endothelial cell adhesion molecule (CD31) , alpha smooth muscle actin ( α-SMA) , basic fibroblast growth factor (bFGF) and vascular endothelial growth factor (VEGF) in muscles of mice in each group before and after limb ischemia were tested . Results : Scanning and transmission e- lectron microscope observation showed that the prepared HMSNs were hollow , spherical and uniform in particle size . DLS results showed that the particle size was (226. 5 ± 11 . 8) nm. The results of red blood cell hemolysis test and cytotoxicity test showed that HMSNs had good biocompatibility. The maximum drug loading rate of HMSNs on DATS was 27. 89% , the cumulative release rate of DATS in 7 days was about 80. 12% , and could reach 97. 27% in 21 days . Compared with the control group , after DATS-HMSNs were applied to mice with lower limb ischemia , immunohistochemical staining showed that the levels of CD31 , α-SMA , bFGF and VEGF increased ( P < 0. 05) . Elisa test showed that the levels of TNF-α , IL-6 , MCP-1 and ROS decreased (P < 0. 05) , and the exercise ability of mice recovered satisfactorily after ischemia. Conclusion DATS-HMSNs can release DATS slowly and continu- ously , providing protection against ischemic injury of lower limbs .

A self-supervised super-resolution reconstruction method based on scale adaptive and coordinate encoding is proposed to realize super-resolution reconstruction of anisotropic brain magnetic resonance images with different slice thicknesses even in the absence of paired isotropic brain magnetic resonance images.Firstly,an image encoding module that integrates super-resolution scale information is used to learn the specific features of images with different slice thicknesses.Subsequently,a coordinate encoding module is employed to facilitate the deep fusion of coordinate information and image features.Finally,an overall loss function comprising reconstruction loss and brain tissue edge perception loss is adopted to optimize the recovery of edge high-frequency information,while global residual learning is introduced to enhance network training.Experimental results on the HCP-1200 and OASIS-1 datasets demonstrate that the proposed method outperforms other self-supervised super-resolution reconstruction methods.