Objective: To investigate the prevalence, awareness, treatment and control rates of diabetes among residents in Fangshan District, Bejing Municipality, so as to provide reference for strengthening the prevention and control of diabetes. Methods: The residents aged 18 to 79 years were selected in Fangshan District using multistage stratified cluster sampling method from March to June 2023. Demographic information, lifestyle, body mass index, fasting blood glucose, and blood lipid were collected through questionnaire surveys, physical examinations and laboratory tests. The prevalence, awareness, treatment and control rates of diabetes among residents were analyzed and their influencing factors were identified using a multivariable logistic regression model. Results: A total of 4 438 residents were enrolled, including 2 367 males (53.33%) and 2 071 females (46.67%), and had a mean age of (44.99±14.90) years. The prevalence, awareness, treatment and control rates of diabetes were 15.75%, 57.37%, 56.22% and 22.90%, respectively. Multivariable logistic regression analysis showed that age (aged 30 to 39 years, OR=1.624, 95%CI: 1.011-2.609; aged 40 to 49 years, OR=3.469, 95%CI: 2.163-5.561; aged 50 to 59 years, OR=4.202, 95%CI: 2.595-6.803; aged 60 to 69 years, OR=7.229, 95%CI: 4.406-11.862; aged 70 to 79 years, OR=7.929, 95%CI: 4.665-13.479), obesity (OR=1.368, 95%CI: 1.071-1.748), hypertension (OR=1.943, 95%CI: 1.601-2.359) and dyslipidemia (OR=2.754, 95%CI: 2.287-3.317) were the factors affecting the prevalence of diabetes. Sex (women, OR=1.529, 95%CI: 1.019-2.293), age (aged 40 to 49 years, OR=4.971, 95%CI: 1.681-14.698; aged 50 to 59 years, OR=6.070, 95%CI: 2.045-18.020; aged 60 to 69 years, OR=6.902, 95%CI: 2.287-20.832; aged 70 to 79 years, OR=6.954, 95%CI: 2.191-22.070) and hypertension (OR=1.906, 95%CI: 1.337-2.718) were the factors affecting the awareness of diabetes. Age (aged 40 to 49 years, OR=4.699, 95%CI: 1.594-13.855; aged 50 to 59 years, OR=5.990, 95%CI: 2.023-17.732; aged 60 to 69 years, OR=7.134, 95%CI: 2.370-21.470; aged 70 to 79 years, OR=6.639, 95%CI: 2.102-20.964) and hypertension (OR=1.857, 95%CI: 1.304-2.645) were the factors affecting the treatment of diabetes. Age (aged 40 to 49 years, OR=2.948, 95%CI: 1.349-6.438; aged 60 to 69 years, OR=2.344, 95%CI: 1.049-5.234) was the factor affecting the control of diabetes. Conclusions The prevalence rate of diabetes among residents in Fangshan District was high, and the improvements of awareness rate, treatment rate and control rate were not obvious. Health education and management of diabetes should be strengthened for elderly, hypertensive and dyslipidemic residents.

Objective:The principal components (PC) of venous-to-arterial carbon dioxide content diference [C(v-a)CO 2] were extraceted in septic shock patients, in orter to compare the contribution of the principal components to C(v-a)CO 2. Methods:Septic shock patients monitored by Swan Ganz floating catheter in the Medical Intensive Care Unit of Peking Union Medical College Hospital were included in the retrospective study. All pairs of arterial and mixed-venous blood gases within 1 h before and after a flood challenge were included in the analyses. The principal component method was used to extract the components of C(v-a)CO 2. Spearman correlation analysis was used to evaluate the correlation between the components and C(v-a)CO 2, and the correlation between the components and cardiac output. The differences of the components beween the 28-day survival group and 28-day death group were analyzed by univariate analysis. Results:A total of 504 pairs of blood gases in 104 septic shock patients were included in the analyses. The median age of patients was 62 years ( IQR, 48 to 71), and 59.6% (62/104) were men. Four principal components were extracted and the components account for 77.7% of variance. PC1 included PaO 2, PvO 2, SaO 2 and SvO 2. PC2 included pHa and pHv. PC3 included Hb and Hct. PC4 included PaCO 2 and PvCO 2. There was a significant difference in PC4 between the two group. PC4 could weakly predict the 28-day death (AUROC 0.634, 95% CI 0.527-0.741, P=0.015). Conclusions:In patients with infectious shock, arteriovenous [C(v-a)CO 2] consists of principal components of four dimensions: oxygenation, pH, Hb, and CO 2 partial pressure difference.Arterial CO 2 partial pressure difference [P(v-a)CO2] weakly predicts 28-d morbidity and mortality.

Objective To explore the value of magnetic resonance relaxation time quantitative imaging in predicting molecular subtypes of invasive ductal carcinoma(IDC)of breast.Methods A total of 79 IDC patients underwent routine magnetic resonance imaging(MRI)scanning and relaxation time quantitative imaging.According to immunohistochemical results of lesions,patients were divided into different immunohistochemical index groups and molecular subtype groups.The differences in MRI signs,T1 values and T2 values of lesions were statistically compared between each group.Patient operating characteristic(ROC)curve was used to evaluate values of T1 and T2 alone and the combination of them in differential diagnosis of IDC molecular subtypes.Results There were 82 samples of lesion in 79 patients,in which,Luminal A type 16(19.51%),Luminal B1 type 11(13.41%),Luminal B2 type 27(32.93%),tyrosine kinase receptor-2 overexpression type(Erb-B2)14(17.07%)and TNBC 14(17.07%).There were no significant differences in patient age,lesion distribution,maximum diameter,morphology,margin and enhancement performance between patients with various molecular subtypes(P>0.05).Among the immunohistochemical indexes,only the Ki-67 positive group had higher T1 value than the negative group(P<0.05).In ROC analysis,the critical T1 value of Ki-67 positive lesions was 2 145 ms,Yoden index was 0.368,the sensitivity was 53.47%,the specificity was 83.33%and the area under the curve(AUC)was 0.640(95%CI:0.527-0.744).There were no significant differences in T1 and T2 values between Luminal A,Luminal B1,Luminal B2,Erb-B2 enriched and TNBC subtypes(P<0.05).T1 and T2 values were lower in Luminal type lesion than those of TNBC type lesion(P＜0.05).ROC curve analysis showed that the combined T1 and T2 values were more effective in differentiating Luminal/TNBC type than those of T1 and T2 values alone.Conclusion T1 mapping can be used as one of the methods to predict the high or low expression levels of Ki-67 in IDC tumors.The combination of T1 and T2 values can improve the ability to predict Luminal/TNBC subtypes.

Venous thromboembolism(VTE)is a prevalent complication in orthopedics.In recent years,machine learning has been widely applied in orthopedics.The essence of machine learning lies in utilizing algorithms to analyze vast amounts of data and construct risk prediction models that can accurately forecast unknown clinical outcomes.By integrating high-risk factors,machine learning aids medical professionals in precisely identifying and screening individuals with a high risk of VTE and offering them timely individualized interventions.This article reviews the concept and classification of machine learning,the advantages of machine learning in enhancing model prediction ability,and the current application status of machine learning in constructing risk prediction models for patients with VTE.

AIM:To explore the impact of histidine triad nucleotide-binding protein 2(HINT2)on atheroscle-rosis(AS),and to elucidate its underlying mechanisms.METHODS:Peripheral blood mononuclear cells(PBMCs)were isolated from patients with chest pain and induced to differentiate into macrophages for assessing HINT2 expression.In vitro,RAW264.7 mouse macrophages were cultured to evaluate inflammatory cytokine levels and cell death in superna-tants.An apolipoprotein E gene knockout(apoE-/-)mouse model of AS was developed to analyze plaque formation,lipid metabolism and macrophage foaminess in the aortic root.Pyroptosis-related protein expression in cultured RAW264.7 cells and the aorta of apoE-/-mice was determined by RT-qPCR and Western blot.RESULTS:Significantly reduced HINT2 expression was observed in PBMCs from patients with acute coronary syndrome,which was negatively correlated with pro-inflammatory and positively correlated with anti-inflammatory serum factors,suggesting HINT2's potential role in mitigating AS-related inflammation.In vitro experiments demonstrated that HINT2 overexpression inhibited lipid accumu-lation and foam cell formation in macrophages induced by oxidized low-density lipoprotein(ox-LDL).It also reduced se-cretion of inflammatory cytokines,including interleukin-6(IL-6),IL-1β,IL-18 and tumor necrosis factor-α,and de-creased cell death and pyroptosis-related protein expression.In vivo experiments in apoE-/-mice confirmed that HINT2 overexpression lessened plaque burden in the aortic root,reduced macrophage foaminess,and inhibited the expression of pyroptosis-related proteins such as nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3),caspase-1,gasdermin D(GSDMD),IL-1β and IL-18.CONCLUSION:HINT2 potentially inhibits ox-LDL-induced macrophage pyroptosis,attenuates inflammatory responses in AS,and may slow the progression of this disease.

Objective:To explore the current status of medication adherence to immunosuppressants in lung transplant recipients and to analyze its correlation with medication beliefs and perceived social support.Methods:This was a cross-sectional study. From June 2022 to April 2023, totally 233 lung transplant recipients who were followed up in the Department of Lung Transplantation at China-Japan Friendship Hospital were selected by convenience sampling. The Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS), the Chinese version of the Beliefs about Medicines Questionnaire, and the Perceived Social Support Scale (PSSS) were used for the survey. Multiple linear regression analysis was conducted to explore the correlation between medication adherence to immunosuppressants, medication beliefs, and perceived social support in these lung transplant recipients.Results:A total of 233 questionnaires were distributed, with 213 valid responses received (91.42%). The incidence of non-adherence to immunosuppressants among the 213 transplant recipients was 41.78% (89/213), with the most common issue being not taking medication on time (27.23%, 58/213). Multiple linear regression analysis showed that age and perceived social support were influencing factors of medication adherence ( P<0.05) . Conclusions:The current level of medication adherence to immunosuppressants in lung transplant recipients is relatively poor. Medication adherence is correlated with age and the level of perceived social support. Healthcare providers should pay attention to medication adherence in younger patients and enhance their perceived social support to increase adherence to immunosuppressive medications.

Acute amnestic syndrome manifests as transient or persistent symptoms of single amnesia,which may also be accompanied by other neurological symptoms,eventually leading to irreversible brain damage.The typical symptoms of acute ischemic stroke include hemiplegia,aphasia,sensory disturbances,and so forth.Acute amnesia is not a typical symptom of acute ischemic stroke,and it is easy to misdiagnose or delay diagnosis in the emergency department.The authors retrospectively analyzed the clinical data of a patient with acute cerebral infarction who started with acute amnesia syndrome,and combined with relevant literature,to explore its clinical characteristics and pathogenesis.The purpose of this article is to provide reference for emergency physician and neurologist in the diagnosis and treatment of similar cases.

Objective:To investigate the value of the venous-to-arterial CO 2 gap (Δ CO 2 gap) before and after the fluid challenge (FC) in determining the fluid responsivenessin septic shock patients. Methods:A total of 104 septic shock patients admitted to the Medical Intensive Care Unit (MICU) of Peking Union Medical College Hospital were included in the retrospective study. All patients were monitored by Swan Ganz floating catheter during the FC. Hemodynamics and blood gas indices were collected before FC (T0) and immediately (T1), 10 min (T2), 30 min (T3) and 60 min (T4) after FC. Responders were defined as patients with a > 10% increase in cardiac output (CO) after FC. Spearman correlation analysis was used to evaluate the correlation between CO 2 gap and CO. The value of ΔCO2 gap were calculated by the area under the receiver operating characteristic (AUROC) curve in the whole population. Results:Among 104 patients, the effective rates of FC at T1, T2, T3 and T4 were 59% (61/104), 72% (75/104), 73% (76/104), and 77% (80/104), respectively. CO of patients in the reactive group was lower than that in the non-reactive group at T2 [6.0 (4.7, 7.5) vs. 7.2 (6.4, 8.5) L/min, P=0.019], and there was no significant difference in CO 2 gap between the two groups before FC. Spearman correlation analysis showed that CO 2 gap was negatively correlated with CO, and the correlations between CO 2 content gap and CO was -0.34, and -0.33 of CO 2 pressure gap and CO, respectively (both P <0.05). ROC curve analysis showed that the ΔCO 2 gap at T1 could weakly judge the reactivity at T2, T3 and T4, but could not judge the reactivity at T1. The AUROC at T2 was 0.669 of ΔCO 2 content gap and 0.684 of ΔCO 2 pressure gap (both P <0.05). Conclusions:The evaluate time judging the effect of FC should be appropriately extended. The change value of CO 2 gap before and immediately after volume expansion in septic shock patients can judge the fluid responsiveness within 10 min after FC.

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 analyze the correlation between the expressions of ZEB1, androgen receptor (AR), E-cadherin (E-Ca), N-cadherin (N-Ca) and clinicopathological features of prostate cancer patients with different risk levels, and to explore their significance. 【Methods】 The clinical data of 47 patients with prostate cancer treated during Nov.2013 and Jun.2021 were retrospectively analzyed. The patients were divided into medium-low risk group and high-risk group. The expressions of ZEB1, AR, E-Ca and N-Ca in the prostate cancer tissues of the two groups were detected with immunohistochemical staining. The relationship between the expressions and Gleason grade, prostate-specific antigen (PSA) level and TNM stage was analyzed. 【Results】 The positive expression rate of ZEB1 increased with higher risk, Gleason score, and PSA level (P<0.01); the strong positive expression rate of AR decreased with higher risk and Gleason score (P<0.05); the positive expression rate of E-Ca decreased with increased risk, Gleason score, and PSA level (P<0.05); the positive expression rate of N-Ca increased with the increased risk and Gleason score (P<0.01); the positive expression rate of ZEB1 increased with higher tumor stage and TNM stage (all P<0.01); the strong positive expression rate of AR decreased only with increased TNM stage (P<0.05). Patients whose first surgical specimen showing a higher expression level of ZEB1 were more likely to develop into castration-resistant prostate cancer CRPC (P<0.05). 【Conclusion】 ZEB1 and N-Ca levels increase with increased tumor aggressiveness, while AR and E-Ca levels decrease. ZEB1, AR, E-Ca and N-Ca play important roles in prostate cancer progression. ZEB1 can not only affect prostate cancer through epithelial stromal transformation (EMT), but also through AR. ZEB1 may also be related to the development of CRPC.