Objective To investigate the association between lifestyle and risk of heart disease and diabetes in the elderly population in Xi'an City. Methods From January 2021 to January 2024, a staged cluster sampling method was used to investigate the lifestyle and the occurrence of heart disease and diabetes in elderly population aged 60 years and above in the communities of Xi'an. Multivariate logistic regression was used to analyze the relationship between lifestyle and the risk of heart disease and diabetes. Results A total of 413 elderly people were investigated, of which 31.96% had heart disease, 27.12% had diabetes, and 10.90% had diabetes with heart disease. Multivariate logistic regression analysis revealed that age, BMI, family history, sweet food preference, smoking, and sitting and lying for a long time were risk factors for diabetes in the elderly population (P<0.05). Age, BMI, family history, history of diabetes, preference for salted products, smoking, drinking, and sitting and lying for a long time were risk factors for heart disease in the elderly population (P<0.05). Conclusion The incidence rates of heart disease and diabetes are high in the elderly population in Xi'an City. The risk of diabetes is related to unhealthy lifestyles such as sweet food preference, smoking, and sitting and lying for a long time, while heart disease is related to unhealthy lifestyles such as preference for salted products, smoking, drinking, and sitting and lying for a long time.

Objective To investigate the association between lifestyle and risk of heart disease and diabetes in the elderly population in Xi'an City. Methods From January 2021 to January 2024, a staged cluster sampling method was used to investigate the lifestyle and the occurrence of heart disease and diabetes in elderly population aged 60 years and above in the communities of Xi'an. Multivariate logistic regression was used to analyze the relationship between lifestyle and the risk of heart disease and diabetes. Results A total of 413 elderly people were investigated, of which 31.96% had heart disease, 27.12% had diabetes, and 10.90% had diabetes with heart disease. Multivariate logistic regression analysis revealed that age, BMI, family history, sweet food preference, smoking, and sitting and lying for a long time were risk factors for diabetes in the elderly population (P<0.05). Age, BMI, family history, history of diabetes, preference for salted products, smoking, drinking, and sitting and lying for a long time were risk factors for heart disease in the elderly population (P<0.05). Conclusion The incidence rates of heart disease and diabetes are high in the elderly population in Xi'an City. The risk of diabetes is related to unhealthy lifestyles such as sweet food preference, smoking, and sitting and lying for a long time, while heart disease is related to unhealthy lifestyles such as preference for salted products, smoking, drinking, and sitting and lying for a long time.

Objective To develop and validate a deep learning model for automatic identification of liver CT contrast-enhanced phases.Methods A total of 766 patients with liver CT contrast-enhanced images were retrospectively collected.A three-phase classification model and an arterial phase(AP)classification model were developed,so as to automatically identify liver CT contrast-enhanced phases as early arterial phase(EAP)or late arterial phase(LAP),portal venous phase(PVP),and equilibrium phase(EP).In addition,221 patients with liver CT contrast-enhanced images in 5 different hospitals were used for external validation.The annotation results of radiologists were used as a reference standard to evaluate the model performances.Results In the external validation datasets,the accuracy in identifying each enhanced phase reached to 90.50%-99.70%.Conclusion The automatic identification model of liver CT contrast-enhanced phases based on residual network may provide an efficient,objective,and unified image quality control tool.

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 investigate the effect and molecular mechanism of tRF-1:30-Gln-CTG-4(tRF-1:30)on the expression of inflammatory factors in high glucose(HG)-induced renal tubular epithelial cells(RTECs).Methods RTECs were divided into the control group,the HG group,the HG+tRF-1:30 mimic group,the HG+tRF-1:30 negative control(NC)group,the HG+si-IKZF2 group and the HG+si-NC group.Real-time quantitative polymerase chain reaction(RT-qPCR)was used to detect the expression levels of tRF-1:30,tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),monocyte chemoattractant protein-1(MCP-1)and IKAROS family zinc finger protein 2(IKZF2).Enzyme-linked immunosorbent assay(ELISA)was used to detect levels of TNF-α,IL-6 and MCP-1.Protein expression of IKZF2 was detected by Western blot assay.Dual-luciferase reporter assay was used to detect the targeting relationship between tRF-1:30 and IKZF2.Results The expression levels of inflammatory factors were elevated in HG-induced RTECs,and the expression level of tRF-1:30 was decreased(P＜0.05).Overexpression of tRF-1:30 significantly decreased expression levels of inflammatory factors in HG-induced RTECs(P＜0.05),and the expression level of IKZF2 was significantly increased(P＜0.05).Further knockdown of IKZF2 can inhibit the release of inflammatory factors,and the expression level of IKZF2 was down-regulated after overexpression of tRF-1:30.Double luciferase reporting experiment further verified the possible targeting relationship between tRF-1:30 and IKZF2.Conclusion Overexpression of tRF-1:30 inhibits the expression of inflammatory factors in HG-induced RTECs by target binding and negatively regulating the expression of IKZF2.

Objective:To construct a hypoglycemia random forest prediction model for older adults with type 2 diabetes, and assess the model′s prognostication performance through internal and external verification.Methods:From August 2022 to January 2023, 300 older adults with type 2 diabetes in Beijing Hospital were selected. The demographic characteristics, medical history, laboratory tests, and other data of the patients were collected, and the data set was randomly divided into the training set and verification set in a ratio of 7∶3. The hypoglycemia prediction model for older adults with type 2 diabetes was constructed and optimized based on the random forest algorithm. The calibration curve was used to evaluate the model′s calibration, and the ROC was used to evaluate the model′s discrimination. The clinical applicability of the model was assessed by the decision curve analysis. The risk factors for hypoglycemia in the older adults were explored by prioritizing the contributions of variables in prediction. The Bootstrap method was used for internal validation, and the validation set was used for external validation.Results:Among the 300 older adults with type 2 diabetes, 128 cases (42.67%) experienced hypoglycemia within one week. The predictive contributions of risk factors in the model were ranked as follows: the number of episodes of hypoglycemia in one month, HDL-C, heart disease, diabetes knowledge and education, combination therapy, age, duration of diabetes, staple food restriction, glycosylated hemoglobin, and gender. The internal and external calibration curves of the hypoglycemia random forest model for the older adults with type 2 diabetes fluctuated around the diagonal, indicating that the calibration degree of the predictive model is good. The AUROC of internal verification was 0.823 (95% CI 0.752-0.894), the sensitivity and specificity were 0.867 and 0.698, respectively. The external verification was 0.859 (95% CI 0.817 - 0.902), and sensitivity and specificity were 0.789 and 0.804, respectively, showing that the overall discrimination of the prediction model was good. The DCA curves were far from the all-positive line and all-negative line, which indicated that the prediction model had good clinical applicability. Conclusions:The predictive effect of this model is good, and it is suitable for predicting the risk of hypoglycemia in older adults with type 2 diabetes, and it provides a reference for early hypoglycemia screening and predictive intervention for this kind of patients.

Objective:To summarize the ultrasound characteristics of incarceration of gravid uterus (IGU) for improving the diagnostic accuracy of IGU.Methods:Three cases of IGU patients were diagnosed in Peking University Third Hospital from May 2018 to May 2020. CNKI, Wanfang Data, China Science and Technology Journal Database and PubMed were searched using the search terms "incarcerate uterus" or "uterine incarceration" and "gravid" through January 2000 to July 2020, 53 IGU cases were found. The ultrasound data and outcomes of the 56 IGU patients were retrospectively analyzed. The display rate of various ultrasonic features were counted. Relevant literatures were reviewed and the experience were summarized.Results:Of the 56 cases with IGU, 45 cases (80.4%) had positive results, of which 34 cases (60.7%) were found abnormal cervix(elongated anteriorly and superiorly displaced cervix or poorly visualized cervix), 27 cases (48.2%) were found retroversion of the gravid uterus, 12 cases (21.4%) were found that the fundus of the uterus lay deeply in the Douglas pouch, 4 cases (7.1%) were found anteriorly and superiorly displaced bladder. There was statistically significant difference between the displaying rates of abnormal cervix and retroversion of the gravid uterus(χ 2=5.452, P<0.05). Conclusions:Abnormal cervix was the most common feature of IGU by ultrasound. Correct identification of the cervix is helpful to improve the detection rate of IGU.

OBJECTIVE: To compare the accuracy of five warfarin-dosing algorithms and warfarin stable dose model (2.5 mg/day) for Shandong population. METHODS: One hundred and twenty five patients who achieved stable warfarin dose were enrolled. Clinical and genetic data were used to evaluate the value of each algorithm by calculating the percentage of patients whose predicted warfarin dose was within 20% of the actual stable therapeutic dose and mean absolute error (MAE). RESULTS: The frequency of patients with CYP2C9*1/*1, CYP2C9*1/*3 and CYP2C9*1/*2 genotype was 92.00%, 7.20%, 0.80%, respectively. That of VKORC1-1639 AA, AG and GG genotype was 82.40%, 15.20%, 2.40%, respectively. CYP4F2*1/*1, *1/*3, *3/*3 genotype was 50.40%, 39.20%, 10.40%, respectively. With the same genotypes for other loci, patients who carried at least one VKORC1-16398G mutant allele had increased warfarin stable daily dose compared with VKORC1-1639AA. Compared with CYP4F2*1/*1, those carrying at least one CYP4F2*3 mutant allele had warfarin stable daily dose increased by 5.9%-13.00%. The percentage of ideal prediction calculated from IWPC model (59.20%), Huang model (57.60%) and Ohno model (52.80%) were higher than others. The MAE were 0.35 (95%CI: 0.11-0.49), 0.15 (95%CI: 0.10-0.32), 0.39 (95%CI: 0.12-0.51), respectively. CONCLUSION The polymorphisms of CYP2C9, VKORC1 and CYP4F2 genes can influence the stable dose of warfarin in Shandong population. IWPC algorithm is suitable for guiding the use of warfarin in this population.
Anticoagulants ; administration & dosage ; Aryl Hydrocarbon Hydroxylases ; Cytochrome P-450 CYP2C9 ; genetics ; Cytochrome P450 Family 4 ; genetics ; Dose-Response Relationship, Drug ; Genotype ; Humans ; Models, Theoretical ; Polymorphism, Genetic ; Vitamin K Epoxide Reductases ; genetics ; Warfarin ; administration & dosage

Objective To explore the prenatal ultrasound image features and clinical significance of fetal ductus venosus abormalities . Methods Fifteen fetuses with ductus venosus abormalities diagnosed by prenatal ultrasonography at Peking University T hird Hospital were retrospective review . T he prenatal findings ,umbilical shunting type ,perinatal outcomes ,and autopsy reports were analyzed . Results Fourteen fetuses were found with absence of ductus venosus . In 6 fetuses the umbilical vein connected to the portal vein ,5 fetuses the umbilical vein connected to the inferior vena cava and 3 fetuses the umbilical vein connected to the right atrium . T he remaining 1 fetus was found obliteration of ductus venosus . Absence of ductus venous showed no normal ductus venous and the umbilical vein almost always drained directly into portal vein ,inferior vena cava or right atrium . Obliteration of ductus venous showed normal ductus venous was replaced by a tiny echogenic string without blood flow . T hree cases had intracardiac and extracardiac abnormalities ; 4 cases had extracardiac abnormalities only ; 8 of these ,ductus venosus abormality were isolated . T wo cases had trisomy 21 syndrome . Four patients underwent legal termination of pregnancy ; 2 were intrauterine fetal death ; and 8 carried to term wit normal outcome ; the remaining one underwent operation due to extracardiac abnormality and postoperative course was uneventful . Conclusions Prenatal ultrasound can be used to diagnose fetal ductus venosus abormalities . Hemodynamic depends on umbilical venous drainage site and diameter . T he prognosis for this group of anomalies depends on the chromosomal abnormalities and additional findings . Chromosome and ultrasonic monitoring are suggested for following pregnancy .

Objective To analyze the ultrasonic features of gynecological emergency and severe cases.Methods To analyze 431 cases in clinical,ultrasonic images and examination data of gynecological emergency and severe patients in Peking University Third Hospital from September 2014 to September 2015,and to study clinical pathological and ultrasonic imaging examination.Results In 431 severe cases of gynecologic emergency,the clinical symptom were shown as acute abdominal pain or and vaginal bleeding.They were divided into seven types by clinical examination,operation or conservative treatment under dynamic observation.There were 137 cases of fracture disease,accounting for 31.8％,with corpus luteum rupture in 67 cases,ectopic pregnancy burst in 59 cases and tumor rupture in 11 cases.There were 114 cases of pelvic inflammatory disease,accounting for 26.5％,with hemorrhagic disease of department of gynaecology in 67 cases (15.5％),dysfunctional uterine bleeding in 39 cases,cervical cancer in 11 cases,submucosal myoma in 7 cases,endometrial carcinoma in 6 cases,carcinosarcoma in 4 cases.There were 58 cases of early pregnancy related diseases,accounting for 13.5％.Among them,32 cases were incomplete abortion,and 21 cases were inevitable abortion and 5 cases were hydatidiform mole.Forty-six cases were torsion of pedicle (10.6％).Five cases were genital tract malformation,accounting for 1.2％,with vaginal septum obliquumevery 4 cases and cervical atresia in one case.There were damages after the operation in 4 cases (0.9％),uterus perforation in 2 cases,abdominal wall hematoma in 1 case after cesarean section,and false aneurysm in 1 case after cesarean section.In the 431 cases,there was emergency surgery oroperation after symptomatic treatment in 329 cases,interventional treatment in one case and non-operative treatment in 101 cases.Conclusions There are corresponding typical ultrasonographic characteristics in different diseases of emergency and severe gynaecologic cases,combined with clinical symptoms and medical history.The right diagnosis can be made.Therefore,there are important clinical values of ultrasound in the treatment of emergency and severe gynecologic cases.