Objective To establish a method of LC-MS/MS for determining cordycepin(Cor)and 3′-deoxyinosine(3′-Deo)concentration in rat plasma,and to study their pharmacokinetics in rats.Methods Protein was precipitated with methanol using 2-chloadenosine(2-Chl)as an internal standard.The chromatography was performed on Kinetex C18(3 mm×100 mm,2.6 μm,Phenomenex,USA)with gradient elution in aqueous(5 mmol·L-1 ammonium acetate)-methanol solution as mobile phase.ESI ion source was used for mass spectrometry,and positive ion multiple reaction monitoring(MRM)was used for scanning detection.The pharmacokinetics of Cor and 3′-Deo after oral administration of Cor(10 mg·kg-1)were studied in rats.Results Cor at 0.5-100 ng·mL-1 and 3′-Deo at 1-200 ng·mL-1 had good linearity,and the lower limits of quantification were 0.5 and 1 ng·mL-1,respectively.After oral administration of Cor in rats,the plasma concentration of Cor was low,which was mainly converted into the metabolite 3′-Deo.The Cmax of Cor and 3′-Deo were(5.4±3.4)and(142.0±50.0)ng·mL-1,and AUC0-360min min were(658.4±459.3)and(18 034.9±4 981.1)ng·min·mL-1,respectively.Conclusion The method is simple,sensi-tive,and accurate,which is suitable for determining Cor and 3′-Deo concentration in plasma and the pharmacokinetic study.

Objective:To examine the correlation between serum Klotho levels and frailty in elderly people.Methods:In this cross-sectional study, 150 community-dwelling elderly people aged 65 years and over were enrolled.Subjects were divided into a frail(n=50, 33.3%), a pre-frail(n=47, 31.3%)and a non-frail(n=53, 35.3%)group based on the Fried phenotype.General participant data, routine laboratory test results, short physical performance battery(SPPB)results and human body composition data were collected.Serum Klotho protein levels were measured by an enzyme-linked immunosorbent assay.The relationship between serum Klotho protein levels and frailty was analyzed by using Spearmen's correlation analysis and Logistic regression analysis.Results:Klotho protein levels were lower in the frail group than in the non-frail group( P=0.001), whereas differences between the frail group and the pre-frail group and between the pre-frail group and the non-frail group were not statistically significant(all P>0.05).When Klotho protein levels were classified into four quartiles, i.e., Q 1, Q 2, Q 3, and Q 4, using three cut-off vales(2.28, 3.52, and 5.09 mg/L), the prevalences of frailty were 51.4%(19/37), 39.5%(15/38), 24.3%(9/37)and 18.4%(7/38), respectively.The prevalence of frailty decreased with increasing Klotho protein levels( χ2=11.204, P=0.011).Spearman correlation analysis showed that the Klotho protein level was negatively correlated with frailty( r=-0.310, P<0.001).Multivariate Logistic regression analysis results showed that age( OR=1.109, 95% CI: 1.011-1.217, P=0.028)and sarcopenia( OR=6.511, 95% CI: 1.279-33.147, P=0.024)were risk factors for frailty, while walking( OR=0.104, 95% CI: 0.033-0.326, P<0.001), a high SPPB score( OR=0.780, 95% CI: 0.627-0.970, P=0.026), and a high Klotho protein level( OR=0.752, 95% CI: 0.581-0.974, P=0.031)were protective factors against frailty. Conclusions:The serum Klotho protein level may be used as a parameter for the assessment of frailty.It is negatively correlated with frailty, suggesting that elderly people with low serum Klotho protein levels are at high risk of developing frailty.

Objective:To explore the relevant risk factors and prognosis of patients with intrahepatic cholangiocarcinoma (ICC) who experienced recurrence within 6 months after surgeryMethods:This retrospective study included a total of 259 patients with ICC a treated at He'nan Provincial People's Hospital and He'nan Cancer Hospital from Jan 2018 to Jan 2020. The clinical and pathological data ,differences between the group with recurrence within 6 months and the group without recurrence within 6 months were compared using the chi-square test. Logistic regression analysis was used to determine the relevant risk factors for recurrence within 6 months. Kaplan-Meier method was used to construct survival and recurrence curves, and survival rates were calculated.Results:The overall survival and recurrence-free survival of patients in the group with recurrence within 6 months were significantly shorter. CA19-9, tumor longitudinal diameter, microvascular invasion, and neural invasion were identified as independent risk factors for recurrence within 6 months after ICC surgery ( P<0.001). Conclusion:The patient population experiencing recurrence within 6 months after ICC surgery has an extremely poor prognosis and possesses a specific tumor microenvironment. CA19-9, tumor longitudinal diameter, microvascular invasion, and neural invasion were identified as independent risk factors for recurrence within 6 months after ICC surgery.

Objective To assess the effect of ultrasonic thyroid artificial intelligence(AI)-assisted diagnostic system(AI-assisted diagnostic system)for diagnosing medullary thyroid carcinoma(MTC)compared with different physicians and taken papillary thyroid carcinoma(PTC)as the controls.Methods Totally 63 MTC,70 PTC and 62 benign thyroid nodules confirmed by pathology were enrolled.AI-assisted diagnostic system was utilized to analyze thyroid nodules and identify the likelihood of malignancy,and the probability value threshold was set at ≥0.40.All thyroid nodules were retrospectively reviewed and categorized by 3 physicians(1 senior physician,1 attending physician and 1 junior physician)according to Chinese thyroid imaging reporting and data system(C-TIRADS).The efficacy of AI-assisted diagnostic system and physicians for diagnosing MTC and PTC were evaluated.Results AI-assisted diagnostic system showed lower sensitivity,specificity,positive predictive value,negative predictive value,accuracy,and area under the curve(AUC)for diagnosing MTC and PTC compared with physicians.Significant differences of AUC were found between senior physician and AI-assisted diagnostic system,as well as between attending physician and AI-assisted diagnostic system for diagnosing MTC and PTC(all P＜0.01),while no significant difference of AUC was between junior physicians and AI-assisted diagnostic system(both P＞0.05).The sensitivity,specificity,positive predictive value,negative predictive value,accuracy and AUC for AI-assisted diagnostic system for diagnosing MTC were all lower than those for diagnosing PTC,but the AUC was not significantly different(P＞0.05).Conclusion Ultrasonic thyroid AI-assisted diagnostic system had relatively high value for diagnosing MTC.

Objective To investigate the possible mechanism of action of Jinqi Qingshu granules(JQQSG)in the treatment of community-acquired pneumonia(CAP)by network pharmacology and molecular docking technology.Methods The TCMSP database and SwissTargetPrediction database were used to obtain and screen the active ingredients and targets of JQQSG,and GeneCards,OMIM,TTD,and DisGeNET databases were used to search for the predicted targets of CAP,and the two targets were mapped and then imported into STRING database to construct a PPI network to screen the key targets,and then the GO and KEGG pathway enrichment were analyzed by the DAVID database,and molecular docking was carried out by the AutoDock Tools software.Results 209 active ingredients and 1 041 targets of JQQSG were obtained after screening;312 targets were co-activated with CAP,and 64 core targets were obtained after PPI network screening.571 biological processes,68 cellular components,and 199 molecular functions were analyzed by GO enrichment,and 165 KEGG pathways were analyzed by KEGG pathway enrichment,mainly involved in protein action,apoptosis and MAPK signaling pathway.Molecular docking suggests that the core target and the core components all have good binding ability.Conclusion The mechanism of action of JQQSG in the treatment of CAP may be related to its regulation of Akt,MAPK signaling pathway,improvement of oxidative stress,and other pathways to exert anti-inflammatory and antioxidant effects,which could lay the foundation for further in-depth study of its specific mechanism of action.

Objective:To investigate the distribution characteristics of skeletal muscle mass and strength in the older adults over 65 years old in 18 longevity areas in China.Methods:The subjects were selected from the Healthy Aging and Biomarkers Cohort Study conducted in 18 longevity areas of China. A total of 4 662 older adults over 65 years old from a cross- sectional survey in 2021 were included in the study. The information about their sociodemographic characteristics, lifestyle, nutrient intake and other factors were collected through questionnaire surveys and physical examinations. Grip strength was measured by using professional electronic grip dynamometer. Total skeletal muscle mass (TSM) was measured using bioelectrical impedance analysis, and TSM was adjusted by height squared and BMI to obtain TSM Ht2 and TSM BMI. The proportion of individuals with low muscle mass and strength was determined according to the recommended method by the Asian Working Group for Sarcopenia (AWGS). Descriptive analysis was conducted on the population and regional distribution characteristics of people with different muscle mass and grip strength. A generalized additive model was used to analyze the age-related trends of muscle mass and grip strength. Results:The age of 4 662 study subjects was (82.69±10.54) years, men accounted for 46.85% (2 184 cases) and Han Chinese accounted for 96.27% (4 488 cases). The M( Q1, Q3) of TSM, TSM Ht2 and TSM BMI in men were 23.30 (20.50, 26.20) kg, 9.02 (8.13, 9.89) kg/m 2, and 1.01 (0.90, 1.13) kg·(kg/m 2) -1, respectively, which were all higher than those in women [TSM: 18.20 (15.70, 20.70) kg, TSM Ht2: 8.18 (7.42, 9.07) kg/m 2 and TSM BMI: 0.79 (0.69, 0.90) kg·(kg/m 2) -1], the differences were significant (all P<0.001). The grip strength of men [ M( Q1, Q3): 24.50 (17.80, 30.80) kg] was higher than that of women [ M( Q1, Q3): 15.60 (11.10, 19.90) kg], the difference was significant ( P<0.001). Southern elderly men had lower TSM and TSM Ht2 compared with northern elderly men (all P<0.001), while there was no significant regional difference in TSM BMI ( P>0.05). Southern elderly women had higher TSM Ht2 and TSM BMI compared with northern elderly women (all P<0.001), while there was no significant regional difference in TSM ( P>0.05). Furthermore, according to the method recommended by AWGS, the elderly with low muscle mass and grip strength were characterized by older age, illiteracy, being unmarried/divorced/widowed, poor chewing ability, impaired activity of daily living and living in southern region. Conclusion:There were population and regional differences in muscle mass and grip strength in the older adults over 65 years in 18 longevity areas of China, and these differences showed decreasing trends with age.

Objective:To develop a prediction tool for 6-year incident risk of frailty among Chinese older adults aged 65 years or above.Methods:Data from the Chinese Longitudinal Healthy Longevity Survey from 2002 to 2018 was used, including 13 676 older adults aged 65 years or above who were free of frailty at baseline. Key predictors of frailty were identified via the least absolute shrinkage and selection operator (LASSO) method, and were thereafter used to predict the incident frailty based on the Cox proportional hazards regression model. The model was internally validated by 2 000 Bootstrap resamples and evaluated for the performance of discrimination and calibration using the area under the receiver operating characteristic curve (AUC) and calibration curve, respectively. The net benefit of the developed prediction tool was evaluated by decision-curve analysis.Results:The M( Q1, Q3) age and follow-up time of the participants were 81.0 (71.0, 90.0) years and 6.0 (4.1, 9.2) years, respectively. A total of 4 126 older persons (30.2%) were recorded with frailty incidents during the follow-up, with the corresponding incidence density of 41.8/1 000 person-years. A total of 15 key predictors of frailty were selected by LASSO, namely, age, sex, race, education years, meat consumption, tea drinking, performing housework, raising domestic animals, playing cards or mahjong, and baseline status of visual function, activities of the daily living score, instrumental activities of the daily living score, hypertension, heart disease, and self-rated health. The prediction model was internally validated with an AUC of 0.802, with the max Youden's index of 0.467 at a risk threshold of 19.0%. The calibration curve showed high consistency between predicted probabilities and observed proportions of frailty events. The decision curve indicated that higher net benefits could be obtained via the prediction model than did strategies based on intervention in all or none participants for any risk threshold less than 59%, and the model-based net benefit was estimated to be 0.10 at a risk threshold of 19.0%. Conclusions:The herein developed 6-year incident risk prediction model of frailty, based on easily accessible questionnaires and physical examination variables, has good predictive performance. It has application potential in identifying populations at high risk of incident frailty.

With the development of population aging, the incidence of lower limb artery ischemic diseases is gradually increasing. Although various treatments such as medication and endovascular surgery are currently available, patients with compromised microcirculation in the distal limbs and poor outflow pathways often do not achieve satisfactory results. Additionally, these treatments can be costly, and long-term patency rates are not ideal. The amendment in situ autologous great saphenous vein arterialization surgery utilizes the patient′s great saphenous vein to provide arterial blood in a retrograde manner and re-establishes blood supply to the tissues through the venous microcirculation system in the distal foot. This approach can achieve good limb salvage results and long-term patency. Therefore, this article aims to elaborate on the methods and value of amendment in situ autologous great saphenous vein arterialization surgery.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.