OBJECTIVE To form an expert consensus addressing clinical issues regarding the use of parenteral direct thrombin inhibitors （DTIs） in special populations. METHODS Led by the Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital（the Affiliated Hospital of UESTC）， a multidisciplinary working group was formed comprising experts from multiple fields， including clinical pharmacy， cardiac surgery， obstetrics， pediatrics and evidence-based medicine. Through literature review and the Delphi method， clinical questions regarding the efficacy and safety of parenteral DTIs used in special populations were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” （PICO） framework；systematic searches were conducted in CJFD， PubMed， Embase and other databases. Relevant evidence from randomized controlled trials，cohort studies and systematic reviews were included and synthesized. Evidence quality was assessed using the Grading of Recommendations Assessment，Development and Evaluation （GRADE） approach， and recommendations were formulated through three rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven clinical questions were ultimately selected （with a consensus rate exceeding 90%）， resulting in the formulation of seven recommendations on the use of parenteral DTIs in special populations， including children， pregnant women， patients with hepatic or renal impairment， patients with mesenteric venous thrombosis， and individuals with thrombophilia. These recommendations clarify the preferred agents， dosing ranges， monitoring parameters， and safety management strategies for parenteral DTIs in these special populations. This expert consensus， which is formulated based on the best available evidence， provides evidence-based guidance for standardized and individualized use of parenteral DTIs in special populations.

Chemical constituents of n-butanol fraction of ethanol extract from the leaves of Cyclocarya paliurus (Batalin) Iljinskaja were studied. Ten compounds were purified by silica gel, MCI, ODS, Sephadex LH-20 column chromatography and semi-preparative high-performance liquid chromatography. Based on the physicochemical properties and spectroscopic data, these compounds were identified as (4S)-4,8-dihydroxy-α-tetralone-5-[6′-(3′′,5′′-dimethoxy-(E)-p-coumaroyl)]-β-D-glucopyranoside (1), (4S)-4,8-dihydroxy-α-tetralone-5-[6′-(E)-feruloyl]-β-D-glucopyranoside (2), (1S,3R,4S,5R)-4,5-di-O-caffeoyl quinic acid methyl ester (3), (1R,3R,4S,5R)-3,4-di-O-caffeoyl quinic acid methyl ester (4), (3R,5R)-3,4,5-tri-O-caffeoylquinic acid methyl ester (5), (1R,3R,4S,5R)-3-O-caffeoyl-5-O-p-coumaroyl quinic acid methyl ester (6), (1R,3R,4S,5R)-3-O-p-coumaroy-4-O-caffeoyl quinic acid methyl ester (7), (1R,3R,4S,5R)-3-O-caffeoyl-4-O-p-coumaroy quinic acid methyl ester (8), (3R,5R)-3,5-di-O-caffeoyl quinic acid methyl ester (9) and (1S,3R,4R,5R)-4-O-caffeoyl-5-O-feruloyl quinic acid methyl ester (10). Among them, compound 1 was a new compound, and compounds 3–10 were isolated from the genus Cyclocarya for the first time.

Objective:To analyze the application value of information-motivation-behavior(IMB)application model in patients with coronary heart disease(CHD).Methods:This randomized controlled study enrolled 110 CHD patients admit-ted to the Second Affiliated Hospital of Chinese PLA Air Force Military Medical University between March 2021 and March 2023.They were divided into intervention group(n=55,IMB model intervention)and control group(n=55,rou-tine management intervention).Both groups were intervened for 2 months.The aerobic exercise indicators,heart func-tion,coagulant function,self-management behavior,quality of life and medical compliance were compared between the two groups.Results:Compared with patients in control group,those in intervention group had significant higher 6min walking distance(6MWD)[(459.17±32.08)m vs.(429.88±37.25)m],maximal oxygen uptake(VO2max)[(69.89±3.71)L/minvs.(63.91±4.56)L/min],prothrombin time(PT)[(16.79±3.40)s vs.(13.26±3.21)s],dimensional scores of emotional management[(18.25±2.05)points vs.(14.70±1.73)points],daily life management[(48.52±3.09)points vs.(40.55±3.05)points],medical management of disease[(30.36±2.57)points vs.(25.21±2.40)points]of coronary self-management scale(CSMS)and quality of life questionnaire core 30(QLQ-C30)score[(87.89±4.73)points vs.(75.78±4.91)points](P＜0.001 all),and significant lower left ventricular end-systolic volume in-dex(LVESVI)[(35.66±0.76)ml/m2 vs.(39.80±0.79)ml/m2],left ventricular end-diastolic volume index(LV-EDVI)[(45.66±1.64)ml/m2 vs.(56.29±2.10)ml/m2],Ddimer(D-D)[(373.47±23.20)g/L vs.(494.03±26.10)g/L],fibrinogen(Fg)[(2.70±0.81)mg/dl vs.(3.71±0.89)mg/dl](P＜0.001 all).Medical compliance rate(89.09％vs.63.64％)in intervention group was significantly higher than that of control group(P=0.002).Conclu-sion:IMB model could significantly improve heart function and coagulation function,and significantly improve self-man-agement behavior,quality of life and compliance in CHD patients.

Hypothermia is a clinical syndrome characterized by core body temperature<35℃,caused by significant heat loss from body surface in cold environment.As a systemic cold injury,it can be lethal if treatment is delayed.Emergent diagnosis and treatment of hypothermia are expected to improve the prognosis of patients.In 2005,the U.S.Army Research Institute of Environmental Medicine(USARIEM)issued guidelines for the prevention and management of cold injuries,but there has been no corresponding standard in China.Therefore,Emergency Branch of Chinese Medical Rescue Association,Emergency Medical Equipment Society of China Association of Medical Equipment,Integrated Rehabilitation Medical Branch of Chinese Medical Rescue Association,and Pre-Hospital Emergency Care Working Committee of Chinese Aging Well Association jointly developed the Chinese Expert Consensus on Emergent Treatment of Hypothermia(2025 edition).The consensus covers the pathophysiology,etiology and epidemiology,diagnosis and severity grading,prehospital treatment,and in-hospital treatment of hypothermia,including 15 recommendations in total,aiming to provide guidance for the relevant clinical rescue work.

Objective To establish an initial diagnostic method for β-thalassemia (BT) using a double antibody sandwich ELISA approach. Methods The hybridoma producing monoclonal antibodies against anti-HbF were screened using a trailing count method. The mAbs were evaluated through ELISA,modified immunocytochem-istry,and Western blot analysis. A double antibody-sandwich ELISA assay was established by labeling the pairs of mAbs with ALP using the glutaral method,and this detection system was used to analyze 40 serum samples. Results The results demonstrate the successful generation of nine hybridoma cell lines capable of secreting highly active anti-HbF monoclonal antibodies (mAbs). Specifically,four mAbs (3F7,4G1,6C1,and 9H7) exhibited exclusive reactivity towards HbF without any cross-reactivity with hemoglobin variants (HbA and HbA2). These four HbF-specific mAbs displayed exceptional specificity and sensitivity,with a maximum titer of 1:256000 and the highest affinity constant (Ka) recorded at 2.36×108 L/mol. Among these mAbs,optimal antibody pairing was achieved using capture antibody 3F7 in conjunction with ALP-4G1 for the development of a sandwich ELISA detec-tion method. By employing this approach,fetal and healthy human blood samples were successfully quantified for HbF levels with an impressive detection sensitivity reaching up to 80％. Conclusion This sandwich ELISA dem-onstrated precise quantification of HbF levels,making it suiTab.for both research and diagnostic purposes in the field of β-thalassemia.

Objective:To evaluate the effect of preoperative oral carbohydrate intake on postoperative nausea and vomiting (PONV) in elderly patients undergoing gynecological laparoscopic surgery.Methods:This study was a randomized controlled trial. One hundred elderly patients, aged≥65 yr, with a body mass index of 18-30 kg/m 2, with American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, who underwent gynecological laparoscopic surgery at the Baoding First Central Hospital from March 2023 to June 2024, were selected. Stratification was conducted by age (65-74 yr/≥75 yr) using an online randomization tool, and the patients were randomly divided into conventional fasting group (group C) and oral carbohydrate group (group P), with 50 cases in each group. Patients took oral carbohydrate drinks of 4 ml/kg at 2 h before operation, with total amount ≤400 ml in group P, while patients received conventional preoperative fasting protocols in group C. The occurrence and severity of PONV within 48 h postoperatively were observed. The visual analogue scale scores for hunger and thirst, State-Trait Anxiety Inventory scale scores, length of stay in the postanesthesia care unit, duration of hospital stay, time to first flatus, time to first ambulation, and patient′s satisfaction were recorded in the two groups. Results:Compared with group C, the incidence and severity of PONV were significantly decreased within 48 h after surgery, the visual analogue scale scores for hunger and thirst and State-Trait Anxiety Inventory scale scores were significantly decreased after entering the operating room, the length of stay in the postanesthesia care unit, time to first flatus and time to first ambulation were significantly shortened, and the patient′s satisfaction was significantly increased in group P ( P<0.05). Conclusions:Oral carbohydrate intake before operation can effectively reduce the occurrence and severity of PONV and improve the quality of postoperative recovery in elderly patients undergoing gynecological laparoscopic surgery.

As an important setting for the administration of vaccinations, the reasonable setting up and standardized management of vaccination clinics will enhance immunization service quality, public satisfaction, and improve the vaccination rate to protect people′s health. In recent years, various provinces in China are continuously promoting the standardized construction and management of vaccination clinics. However, the level of standardization management remains unbalanced, and the capacity of vaccination services needs to be further improved. This paper reviews the standardized management process of vaccination clinics, summarizes the practice and achievements in various regions, and analyzes the challenges and issues during these processes, to provide reference for improving the standardized management level of vaccination clinics in the future.

Objective To explore the risk factors for noncontiguous spinal fractures(NSFs)in the elderly.Methods The clinical data of 614 elderly patients with spinal fracture from January 2013 to December 2019 were analyzed retrospectively.Patients were divided into the NSFs group and the Non-NSFs group according to whether NSFs occurred or not.Univariate analysis and multivariate Logistic regression analysis were used to screen the risk factors of NSFs.Results Univariate analysis showed that female(P=0.003),high-energy violent injury(P=0.032),osteoporosis(P=0.004),fracture in spring(P=0.020),and previous spinal fracture history(P<0.001)were associated with the occurrence of NSFs.Multivariate Logistic regression analysis showed that fracture in spring(P=0.024),previous spinal fracture history(P<0.001)and high-energy violent injury(P=0.038)were the independent risk factors for the occurrence of NSFs in the elderly.Conclusion High-energy violent injury,fracture in spring and previous spinal fracture history are the independent risk factors for the occurrence of NSFs in the elderly.Therefore,elderly patients with the above risk factors should be examined more carefully and comprehensively to avoid missed diagnosis and delayed diagnosis.In order to reduce the incidence of this disease,corresponding measures should be taken according to the preventable risk factors.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective:To establish and validate a multimodal model based on radiomics and deep learning for predicting acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS).Methods:Patients diagnosed with AP from The First Affiliated Hospital of Soochow University, Donghai County People's Hospital and Jintan Affiliated Hospital of Jiangsu University between January 2017 and December 2023 were enrolled. Based on the diagnosis of ARDS within 1 week after admission, the patients were classified into the ARDS group and the non-ARDS group. Patients in the First Affiliated Hospital of Soochow University ( n=406) was used as the training set (non-ARDS group n=212 vs ARDS group n=194), while Donghai and Jintan hospitals served as the test set ( n=175; non-ARDS group n=104 vs ARDS group n=71). Clinical data, laboratory tests and the occurrence of systemic inflammatory response syndrome (SIRS) within 24 hours after admission were collected. Scoring systems such as bedside index for severity in acute pancreatitis (BISAP), Ranson score and modified CT severity index (MCTSI) were calculated. Radiomics features were extracted from three-dimensional CT images to develop a radiomics model based on XGBoost algorithm. At the same time, a deep learning model was constructed using deep convolutional networks to extract deep features. Finally, clinical features and the predictions from the aforementioned models were integrated to establish a multimodal model based on XGBoost algorithm. To enhance model visualization, variable importance ranking and local interpretable visualization were used. The receiver operating characteristic (ROC) curves of the three models and the three scores including BISAP, Ranson and MCTSI were plotted and the area under the curves (AUCs) were calculated to evaluate the prediction performance for ARDS in AP patients, as well as sensitivity and specificity. Results:In the multimodal model for predicting ARDS in AP patients, predictions of the deep learning model and the radiomics model were the most important variables, followed by SIRS, C-reactive protein, procalcitonin, albumin, glucose, creatinine, neutrophil, and Ca 2+. In the training set, the multimodal model achieved an AUC of 0.933 for predicting ARDS in AP patients, higher than the radiomics model (0.727), the deep learning model (0.877), MCTSI (0.870), Ranson (0.620) and BISAP (0.898). In the test set, the model's AUC was 0.916 for predicting ARDS in AP patients, higher than the radiomics model (0.660), the deep learning model (0.864), MCTSI (0.851), Ranson (0.609), and BISAP (0.860). Conclusions:Based on clinical structured data, radiomics and deep learning features, the multimodal model could predict the risk of ARDS in AP patients at an early stage, whose performance is better than the single-modal models and the traditional scoring systems.