Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

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*

OBJECTIVE: To analyze the occurrence of arterial events and platelet parameters in patients with polycythemia vera (PV) and essential thrombocythemia (ET), and to explore the characteristics of platelet parameters in patients with PV and ET and their relationship with arterial complications. METHODS: The clinical and laboratory data of newly diagnosed PV and ET patients who visited the Department of Hematology, Beijing Anzhen Hospital, Capital Medical University from August 2017 to August 2022 were retrospectively analyzed. RESULTS: 86 MPN patients (46 males and 40 females) were enrolled, including 44 PV patients and 42 ET patients, with an median age of 61(23-83) years. The mutation rate of JAK2V617F gene, the number of megakaryocytes in bone marrow, the incidence of splenomegaly, and the levels of white blood cell count (WBC), hemoglobin (HGB), hematocrit (HCT), platelet distribution width (PDW), mean platelet volume (MPV), platelet-large cell ratio (P-LCR) in PV patients were significantly higher than those in ET patients (P < 0.05), while the levels of PLT and PCT were significantly lower than those in ET patients (P < 0.01). 22 cases (50%) of PV patients were complicated with arterial events, of which 12 had arterial stenosis in≥2 locations. Among arterial events, the PDW of PV patients with ischemic stroke was greater than that of PV patients without ischemic stroke (P =0.003), and the PDW of PV patients with arterial stenosis in≥2 locations was greater than that of PV patients with arterial stenosis in≤1 location (P =0.037). 23 cases (54.8%) of ET patients were complicated with arterial events, and 7 cases had arterial stenosis in≥2 locations. In arterial events, the PCT of ET patients complicated with ischemic stroke was greater than that of ET patients without ischemic stroke (P =0.037), and the PCT of ET patients with≥2 locations of arterial stenosis was greater than that of ET patients with≤1 location of arterial stenosis (P =0.049). The binary logistic regression analysis showed that elevated PDW and PCT were risk factors for ischemic stroke in PV and ET patients, respectively (P < 0.05). CONCLUSION The platelet parameters of PV and ET patients exhibit significantly different characteristics. Elevated PDW and PCT can predict a higher risk of ischemic stroke in PV and ET patients, respectively.
Humans ; Middle Aged ; Female ; Male ; Aged ; Retrospective Studies ; Adult ; Thrombocythemia, Essential/blood* ; Myeloproliferative Disorders/complications* ; Aged, 80 and over ; Polycythemia Vera/blood* ; Blood Platelets ; Platelet Count ; Young Adult ; Mean Platelet Volume

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.

Objective To develop a damage control operation(DCO)simulation training platform for traumatic brain injury(TBI)in wartime based on mixed reality to open up a new path for surgical skills training of military surgeons.Methods The platform mainly consisted of wartime TBI DCO simulation training software,a surgical manikin and a HoloLens 2 MR device.The simulating training software was developed with C# language and the technologies of MR,basic gestures,spatial scanning positioning and etc on the basis of constructed surgical decision-making training system,virtual surgical environment and functional modules.The surgical manikin was customized with reference to the standard body type of an adult male with a height of 180 cm,and an electronic chip was developed and placed inside the head of the manikin to execute data matching with the simulation training software.The simulation training software was installed and run in the HoloLens 2 MR device to realize TBI DCO simulation training on the virtual reality interactive model.Results The platform developed implemented the functions of virtual reality interactive model reset positioning,operation simulation training,examination and on-site demonstration,which gained advantages in stimulating learning interest and facilitating risk-free,time-and space-indepen-dent,immersive and interactive learning and was generally recognized by the trainees.Conclusion The simulation training platform can be a supplementary to other training means to improve the ability of military surgeons in damage control operation.[Chinese Medical Equipment Journal,2024,45(2):17-21]

Lithium(Li)salts are commonly used as psychotropic medications for the treatment of major depressive disorders.However,long-term use of Li salts poses a high risk of toxicity,necessitating continuous monitoring of Li concentration in patient blood to ensure medication safety,which is crucial for clinical treatment.Laser-induced breakdown spectroscopy(LIBS),as a rapid analytical technique,has been widely applied in the elemental analysis of complex matrices in various practical scenarios.In this study,LIBS technology combined with partial least squares(PLS)was employed for quantitative analysis of Li elements in blood matrix.A total of 45 clinical blood samples were utilized,and the quantitative models for plasma and whole blood matrices were separately investigated.The number of latent variables in the PLS algorithm was optimized using a five-fold cross-validation method.Results revealed that the PLS quantitative model constructed on the basis of plasma matrix achieved a predictive determination coefficient(R2)of 0.992,a predictive root mean square error(RMSEP)of 0.204 μg/mL,and a relative standard error(RSD)of 2.14%.In contrast,for the PLS quantitative model constructed on the basis of whole blood matrix,the R2 was 0.984,the RMSEP was 0.728 μg/mL,and the RSD was 3.45%Consequently,the LIBS model constructed on the basis of plasma calibration values demonstrated superior performance in quantitative analysis of Li element in whole blood,and LIBS technology provided a new possibility for rapid assessment of blood Li levels in clinical practice,with promising prospects for application.

Atherosclerosis(AS) is an important pathological feature of cardiovascular diseases such as myocardial infarction,stroke and other highly fatal diseases. Phlegm and dampness are considered to be an important pathogenesis of AS,which is difficult to heal and can cause complications. The establishment of an animal model with AS and phlegm-dampness syndrome,which could reflect the features of traditional Chinese medicine(TCM),and objective evaluation system are an important element of modern integrated TCM and western medicine research on cardiovascular diseases. It is of great significance for TCM to prevent and treat cardiovascular diseases. This article summarizes the scientific connotations of traditional Chinese and western medicine for AS and phlegm-dampness syndrome,comprehensively summarizes the current status of construction and evaluation in experimental animal model,analyzes the problems of current model,and discusses the factors of model construction and evaluation. Our aim is to establish normalized and standardized animal model with AS of phlegm-dampness syndrome.

ObjectiveTo investigate the genetic polymorphism and structure of 47 autosomal microhaplotypes in the Han population in Changshu City, Jiangsu Province, and to evaluate the forensic efficiencies and forensic parameters. MethodsThe DNA library of unrelated individual samples was prepared according to MHSeqTyper47 kit manual and sequenced on the MiSeq FGx platform. Microhaplotype genotyping and sequencing depth statistics were processed using MHTyper. The genetic information of samples was then evaluated. The fixation index and genetic distance between the Jiangsu Changshu population and the reference populations in the 1000 Genomes Project phase 3 (1KG) were calculated, and forensic parameters were evaluated. ResultsThe fixation index and genetic distance between the Han population in Changshu, Jiangsu, and the CHB (Han Chinese in Beijing, China) reference population in 1KG were the lowest. The effective allele number (A_e) of each locus is also the closest between the two populations. The combined matching probability (CMP) of the Changshu Han population is close to the 5 populations of the East Asian reference super-population in 1KG, which is 1.25×10^-36, and the combined probability of exclusion reached 0.999 999 999 964 1. ConclusionThis study reported the genetic polymorphism and allele frequency of 47 microhaplotypes in a Han population in Changshu City, Jiangsu Province. This information provides a data basis for 47 microhaplotypes in forensic applications. In addition, the polymorphism differences between the 1KG reference population and the Han population in Changshu, Jiangsu were compared, and the genetic structure of 47 microhaplotypes in the Han population in Changshu, Jiangsu was revealed. In general, the reference data of the East Asian super-population in 1KG is more in line with the genetic characteristics of Han population in Changshu, Jiangsu.

Magnetic cell sorting technology is a highly specific and rapid cell sorting technology using superparamagnetic nanocomposites for cell sorting, which is widely used in immunology, stem cytology, oncology, clinical medicine and other fields. Magnetic cell sorting technology is divided into positive isolation, negative isolation/untouched cell isolation, depletion, multi-step isolation and automated cell separation systems. In this review, we firstly give a brief introduction to the classification and application of magnetic cell sorting technology, then discuss several new techniques and challenges based on magnetic cell sorting in recent years, such as improving the sorting efficiency by improving the structure of magnetic materials and magnetic field structure. The necessity of biological evaluation of magnetic cell sorting products was emphatically analyzed. Through the biological evaluation, the advantages and disadvantages of magnetic cell sorting products can be understood, and the research and development ability could be improved. Therefore, 10 biological evaluation technical parameters related to magnetic cell sorting products were proposed: yield, purity, sterility, cytotoxicity, cell morphology, viability, light scattering characteristics of cells, fluorescent antibody labeling ability of cells, cell activation and cell proliferation. The 10 biological evaluation technical parameters play an important role in promoting the standardized application of magnetic cell sorting.