PURPOSE: We carried out the study aiming to explore and analyze the risk factors, the distribution of pathogenic bacteria, and their antibiotic-resistance characteristics influencing the occurrence of surgical site infection (SSI), to provide valuable assistance for reducing the incidence of SSI after traumatic fracture surgery. METHODS: A retrospective case-control study enrolling 3978 participants from January 2015 to December 2019 receiving surgical treatment for traumatic fractures was conducted at Tangdu Hospital of Air Force Medical University. Baseline data, demographic characteristics, lifestyles, variables related to surgical treatment, and pathogen culture were harvested and analyzed. Univariate analyses and multivariate logistic regression analyses were used to reveal the independent risk factors of SSI. A bacterial distribution histogram and drug-sensitive heat map were drawn to describe the pathogenic characteristics. RESULTS: Included 3978 patients 138 of them developed SSI with an incidence rate of 3.47% postoperatively. By logistic regression analysis, we found that variables such as gender (males) (odds ratio (OR) = 2.012, 95% confidence interval (CI): 1.235 - 3.278, p = 0.005), diabetes mellitus (OR = 5.848, 95% CI: 3.513 - 9.736, p < 0.001), hypoproteinemia (OR = 3.400, 95% CI: 1.280 - 9.031, p = 0.014), underlying disease (OR = 5.398, 95% CI: 2.343 - 12.438, p < 0.001), hormonotherapy (OR = 11.718, 95% CI: 6.269 - 21.903, p < 0.001), open fracture (OR = 29.377, 95% CI: 9.944 - 86.784, p < 0.001), and intraoperative transfusion (OR = 2.664, 95% CI: 1.572 - 4.515, p < 0.001) were independent risk factors for SSI, while, aged over 59 years (OR = 0.132, 95% CI: 0.059 - 0.296, p < 0.001), prophylactic antibiotics use (OR = 0.082, 95% CI: 0.042 - 0.164, p < 0.001) and vacuum sealing drainage use (OR = 0.036, 95% CI: 0.010 - 0.129, p < 0.001) were protective factors. Pathogens results showed that 301 strains of 38 species of bacteria were harvested, among which 178 (59.1%) strains were Gram-positive bacteria, and 123 (40.9%) strains were Gram-negative bacteria. Staphylococcus aureus (108, 60.7%) and Enterobacter cloacae (38, 30.9%) accounted for the largest proportion. The susceptibility of Gram-positive bacteria to Vancomycin and Linezolid was almost 100%. The susceptibility of Gram-negative bacteria to Imipenem, Amikacin, and Meropenem exceeded 73%. CONCLUSION Orthopedic surgeons need to develop appropriate surgical plans based on the risk factors and protective factors associated with postoperative SSI to reduce its occurrence. Meanwhile, it is recommended to strengthen blood glucose control in the early stage of admission and for surgeons to be cautious and scientific when choosing antibiotic therapy in clinical practice.
Humans ; Surgical Wound Infection/epidemiology* ; Male ; Female ; Risk Factors ; Retrospective Studies ; Middle Aged ; Adult ; Case-Control Studies ; Fractures, Bone/surgery* ; Aged ; Drug Resistance, Bacterial ; Logistic Models ; Anti-Bacterial Agents/therapeutic use* ; Incidence ; Bacteria/drug effects*

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Objective:To examine frailty in residents aged over 50 in the Chengdu community, investigate the risk factors linked to frailty, and analyze the impact of exercise habits on frailty.Methods:This retrospective study utilized a stratified whole-sample method to select Chengdu residents aged over 50 from 6 communities.Relevant information was collected through face-to-face interactions using a self-developed frailty questionnaire between May 2022 and May 2023.Exercise habits were defined as engaging in physical activity more than three times a week for at least 30 minutes per session, consistently maintained for a minimum of five years prior to the survey.The frailty index(FI)was established based on the multiple-deficit cumulative model.Respondents were classified into categories of no frailty(FI<0.1), mild frailty(0.1 ≤ FI<0.2), and moderate-severe frailty(FI≥0.2).Univariate and multivariate logistic regression analyses were conducted to investigate the factors influencing frailty and to compare the prevalence and progression of frailty among individuals with and without exercise habits across different age groups.Results:A total of 999 participants, comprising 483(48.3%)males and 516(51.7%)females, were enrolled in the study.The average age of the participants was 65.70±9.61 years.Among them, 346(34.6%)were classified as having mild frailty, while 107(10.7%)had moderate-severe frailty.Univariate analysis revealed that age, gender, marital status, education, smoking, alcohol consumption, and exercise habits were potential factors influencing frailty( P<0.05).Multifactorial logistic regression models indicated that individuals aged 70-79 and 80-85 were predictors of mild and moderate-severe frailty, respectively.Being female was identified as an independent risk factor for both mild frailty( OR: 1.196; 95% CI: 1.262-3.073)and moderate-severe frailty( OR: 2.721; 95% CI: 1.282-5.774).Additionally, not engaging in regular exercise was associated with an increased risk of mild frailty( OR: 1.588; 95% CI: 1.149-2.193)and moderate-severe frailty( OR: 3.186; 95% CI: 1.819-5.583).Statistical analysis revealed significant differences in frailty distribution and frailty index changes between individuals with and without exercise habits over the age of 60( P<0.05). Conclusions:Age and gender were found to be closely associated with frailty, with the impact of exercise habits on frailty becoming more pronounced after the age of 60.Encouraging middle-aged and older individuals to adopt regular exercise routines can play a significant role in promoting healthy aging in China.

Objective:To find out whether the performance of a China-made high performance human centrifuge can satisfy the need of high G training by conducting physiological experiments.Methods:The dynamic physical performance of the anti-G equipment with the human centrifuge was tested before 5 subjects underwent the gradual-onset rate (GOR) run and rapid onset rate (ROR) run experiments. The G onset rate of GOR was 0.1 G/s. The relaxed G-tolerance under GOR (GOR tolerance 1) and the anti-G straining maneuver aided G-tolerance under GOR (GOR tolerance 2) were tested respectively. The G onset rate of ROR was 3 G/s, and the closed-loop mode and pre-programed mode were employed respectively. The closed-loop mode involved 5 G 10 s and 8 G 10 s, where the subjects were required to manipulate the joystick to ensure that the real-time curve of the load matched the target curve. In the pre-programmed mode, the subjects were exposed to 8 G 10 s passively, without any operation requirements. A subjective evaluation form was filled out by subjects after the experiments, in which the 14 indexes for evaluation were about the gondola facilities and environment, running processes, medical monitoring and overall assessment.Results:Both the oxygen mask and anti-G suit achieved full pressurization within 2.0 s. The GOR tolerance 1 was [4.0(3.8, 4.6)] G while the GOR tolerance 2 was (6.2±0.5) G, suggesting a statistically significant difference ( Z=-2.63, P=0.008). The HP anti-G straining maneuver effect was (2.0±0.6) G. All the 5 subjects finished the 5 G 10 s experiment in a closed-loop mode. Three of them attempted 8 G 10 s in the closed-loop mode (1 subject achieved only 7.6 G peak acceleration, and the other 2 achieved full 8 G 10 s exposure), while the remaining 2 completed the 8 G 10 s in the pre-programmed mode. In the closed-loop mode, it was found that the stick force was too strong, the guiding G and real time G curve were not easy to distinguish for some of the subjects because the curve colors were similar, and that the subjects could not see the G curves clearly in case of a grayout. Both seat comfort and the voice quality of communication got the highest subjective assessment score [5.0(4.0, 5.0)] while the sensation of tumble got the lowest score (2.8±0.8). The median or mean scores of other subjective evaluation indexes ranged from 3.0 to 4.6 points. The overall score of subjective assessment was [4.0(3.5, 4.0)] points. Conclusions:The China-made high performance human centrifuge can meet the requirements of 8.0 G high G training, which can be made more effective and comfortable if the strong stick force and feeling of tumble during stop running are overcome.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

Objective To investigate the metabolic characteristics of patients with early-onset type 2 diabetes mellitus(T2DM)and to develop a risk prediction model for microvascular complications.Methods A retrospective study was conducted on 980 T2DM patients admitted for treatment between April 2020 and April 2024.Based on age at diagnosis,the patients were divided into two groups,an early-onset T2DM group(age at diagnosis<40 years,n=265)and a late-onset T2DM group(age at diagnosis≥40 years,n=715).Differences in metabolic indicators between the two groups were compared.Patients in the early-onset group were further divided into a complication subgroup(n=142)and a non-complication subgroup(n=123)based on the presence or absence of microvascular complications.Data on baseline characteristics,metabolic parameters,and laboratory indicators were collected and compared between the two groups.Multivariate logistic regression analysis was used to identify independent risk factors for microvascular complications,and a nomogram prediction model was constructed.The model's discriminative performance was assessed using receiver operating characteristic(ROC)curves,and its calibration was evaluated using calibration curves and the Hosmer-Lemeshow test.Decision curve analysis(DCA)was also performed to assess the model's clinical utility.Results Compared with the late-onset group,patients in the early-onset group exhibited more pronounced metabolic abnormalities,including higher body mass index(BMI),proportion of family history of diabetes mellitus,glycated hemoglobin(HbA1c)levels,total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),triglyceride-glucose index(TyG),and lactate dehydrogenase(LDH)levels(all P<0.05),along with a shorter disease duration and lower levels of high-density lipoprotein cholesterol(HDL-C)(P<0.05).According to a multivariate analysis,systolic blood pressure(SBP),total bilirubin(TBIL),HDL-C,LDL-C,TyG,and LDH were identified as independent risk factors for microvascular complications in patients with early-onset T2DM.A predictive model based on these factors was established as the follows,Log(P)=-19.915+0.017×SBP-0.136×TBIL-1.241×HDL-C+0.684×LDL-C+0.769×TyG+0.050×LDH.The area under the ROC curve(AUC)was 0.864(95%CI,0.820-0.907),and the Hosmer-Lemeshow test indicated good model fit(χ2=10.286,P=0.246).The slope of the DCA curve was also close to 1.Conclusion The nomogram prediction model based on SBP,TBIL,HDL-C,LDL-C,TyG,and LDH demonstrates good predictive performance for microvascular complications and can provide a reference for clinical risk stratification and individualized intervention.

Military training represents one of the most essential activities for troops during peacetime,of which the prevention and treatment of training-induced injuries are a very important part.Recent findings of research suggest that cold atmospheric plasma(CAP)exhibits a distinctive and multifaceted superiority in terms of broad-spectrum sterilization,rapid blood coagulation and healing promotion for wounds.Consequently,CAP has good prospects of applications in diverse fields such as clinical medicine,emergency rescue and military medicine.Based on a review of the research progress in plasma medicine,the applicability of CAP in the prevention and treatment of military training injuries was discussed in this paper by focusing on the urgent issues related to military training injury,including the typical application scenarios and methods for CAP,the safety and effectiveness of plasma trauma prevention and treatment,and the key issues facing the prevention and treatment of military training injuries.

Objective:To analyze the incidence of surgical site infection (SSI) in patients undergoing colorectal cancer (CRC) surgery and to identify risk factors associated with SSI in an attempt to provide a reference for clinical prevention strategies.Methods:A retrospective cohort study was conducted. Clinical data were retrospectively collected from a total of 2,248 patients who underwent surgery for pathologically confirmed CRC between 2017 and 2022 at two centers: Huangshan Shoukang Hospital ( n=649) and Northern Jiangsu People's Hospital ( n=1 599). Inclusion criteria consisted of the following: (1) age >18 years; (2) pathologically confirmed CRC treated with curative resection, including extended resections (e.g. pelvic exenteration); (3) no surgical incisions other than abdominal or perineal; and (4) no use of prosthetic implants. The incidence of SSI was analyzed, and multivariate logistic regression was used to identify independent its risk factors. Results:A total of 121 patients (5.4%) developed SSI. Among them, 68 cases (56.2%) were organ/space infections, 35 cases (28.9%) were deep incisional infections, and 18 cases (14.9%) were superficial incisional infections. The median postoperative hospital stay was significantly longer in patients with SSI compared to those without (21.0 days vs. 13.0 days, U=65,754, P<0.001). The median hospitalization cost was also significantly higher in the SSI group (56,550 yuan vs. 43,645 yuan, U=72,008, P<0.001). Multivariate logistic regression analysis identified body mass index (BMI) ≤ 20 kg/m 2 (OR=4.25, 95%CI: 3.38-5.34, P<0.001), diabetes mellitus (OR=3.44, 95%CI: 1.89-6.24, P<0.001), open surgery (OR=4.23, 95%CI: 2.37-7.56, P<0.001), and colostomy or ileostomy (OR=1.67, 95% CI: 1.04-2.69, P=0.034) as independent risk factors for SSI. Conclusion:To prevent SSI following CRC surgery, attention should be given to optimizing body weight and glycemic control, promoting minimally invasive surgical approaches when feasible, and cautiously considering the necessity of colostomy or ileostomy.

Objective:To analyze the incidence of surgical site infection (SSI) in patients undergoing colorectal cancer (CRC) surgery and to identify risk factors associated with SSI in an attempt to provide a reference for clinical prevention strategies.Methods:A retrospective cohort study was conducted. Clinical data were retrospectively collected from a total of 2,248 patients who underwent surgery for pathologically confirmed CRC between 2017 and 2022 at two centers: Huangshan Shoukang Hospital ( n=649) and Northern Jiangsu People's Hospital ( n=1 599). Inclusion criteria consisted of the following: (1) age >18 years; (2) pathologically confirmed CRC treated with curative resection, including extended resections (e.g. pelvic exenteration); (3) no surgical incisions other than abdominal or perineal; and (4) no use of prosthetic implants. The incidence of SSI was analyzed, and multivariate logistic regression was used to identify independent its risk factors. Results:A total of 121 patients (5.4%) developed SSI. Among them, 68 cases (56.2%) were organ/space infections, 35 cases (28.9%) were deep incisional infections, and 18 cases (14.9%) were superficial incisional infections. The median postoperative hospital stay was significantly longer in patients with SSI compared to those without (21.0 days vs. 13.0 days, U=65,754, P<0.001). The median hospitalization cost was also significantly higher in the SSI group (56,550 yuan vs. 43,645 yuan, U=72,008, P<0.001). Multivariate logistic regression analysis identified body mass index (BMI) ≤ 20 kg/m 2 (OR=4.25, 95%CI: 3.38-5.34, P<0.001), diabetes mellitus (OR=3.44, 95%CI: 1.89-6.24, P<0.001), open surgery (OR=4.23, 95%CI: 2.37-7.56, P<0.001), and colostomy or ileostomy (OR=1.67, 95% CI: 1.04-2.69, P=0.034) as independent risk factors for SSI. Conclusion:To prevent SSI following CRC surgery, attention should be given to optimizing body weight and glycemic control, promoting minimally invasive surgical approaches when feasible, and cautiously considering the necessity of colostomy or ileostomy.