Objective To evaluate the relationship between the trend of glutamyl transpeptidase(GGT)change and newly developed metabolic syndrome(MS),and to explore the relationship between GGT and MS.Methods The study was a prospective cohort study,with baseline data sourced from the Beijing subcenter population of the"REACTION"study.A total of 6482 non-MS subjects was enrolled as the study subjects,and divided into four groups using the quartile method based on GGT level:G1(GGT<14.2 U/L,n=1613),G2(14.2≤GGT<18.6 U/L,n=1602),G3(18.6≤GGT<26.1 U/L,n=1639)and G4(GGT≥26.1 U/L,n=1628)group.Follow up was conducted 3.2 years later to analyze the correlation between baseline GGT and the trend of GGT changes with the risk of new MS.Results Baseline GGT was a risk factor for newly diagnosed MS.Compared with G1 group,the relative risk(RR)(95%CI)of newly diagnosed MS at follow-up in G2,G3,G4 group were 1.480(1.220～1.780,P<0.01),2.090(1.750～2.490,P<0.01),and 2.800(2.360～3.320,P<0.01),respectively.The increase in GGT is a risk factor for newly diagnosed MS during follow-up in this population.Compared with the group with decreased GGT,the RR(95%CI)of newly diagnosed MS during follow-up was 1.410(1.320～1.510)(P<0.01)in the group with increased GGT.In stratified subgroup analysis,the incidence of new-onset MS was[1.650(1.410～1.940)vs 1.510(1.310～1.750),P<0.01]respectively in female and middle-aged people in the GGT increase group compared with the GGT decrease group.There was no statistically significant difference in the risk of developing new MS in both male and elderly populations between the GGT increasing group and the decreasing group(P>0.05).Conclusions The increase in GGT is a risk factor for newly diagnosed MS,especially in female and middle-aged populations.

Objective To analyze the association between fatty liver index(FLI)and the risk of newly diagnosed diabetes mellitus(DM)in people with different glucose metabolism.Methods A retrospective cohort study was conducted,with baseline data sourced from the Beijing sub center population of the REACTION study.The follow-up was conducted 3.2 years later.A total of 6425 non DM subjects were included in this study,and divided into four groups using the quartile method based on FLI level:Q1(FLI＜11.68,n=1608),Q2(11.68≤FLI＜24.33,n=1607),Q3(24.33≤FLI＜44.73,n=1604)and Q4(FLI≥44.73,n=1606).Results During follow-up,a total of 556 new DM patients were found,with a cumulative incidence rate of 8.7%.Logistic regression analysis showed that FLI level was an independent risk factor for new DM patients,whether in non-DM people,NGT subgroups or IGR subgroups.In non DM population,the risk of developing new DM in the Q1,Q2,Q3 is 1.650 times(95%CI 1.200～2.290,P=0.002),2.040 times(95%CI 1.420～2.940,P＜0.001),and 2.950 times(95%CI 1.860～4.670,P＜0.001)higher than that in the Q1,respectively.In the NGT population,the risk of newly diagnosed DM in the Q3,Q4 is 1.670 times higher(95%CI 1.010～2.750,P=0.045)and 2.320 times higher(95%CI 1.410～3.800,P=0.001)than that in the first quartile,respectively.FLI level is an independent risk factor for newly diagnosed DM in the IGR population(P=0.012).The risk of newly diagnosed DM in the Q2,Q3,Q4 is 1.480 times(95%CI 1.080～2.020,P=0.015),1.620 times(95%CI 1.190～2.220,P=0.002),and 1.630 times(95%CI 1.180～2.250,P=0.003)higher than that in the Q1 respectively.Conclusions FLI is significantly associated with the risk of new onset DM in both NGT and IGR populations,and is an independent risk factor for newly diagnosed DM.

Objective:To study the relationship between hemoglobin glycation index (HGI) and blood lipid indices such as low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and plasma atherogenic index (AIP).Methods:This cross-sectional study included 16 049 participants from the Beijing Apple Garden community between December 2011 and August 2012. The subjects were divided into three groups based on the HGI quartile: low ( n=5 388), medium ( n=5 249), and high ( n=5 412). The differences in blood lipid indicators between different HGI groups were compared and multivariate logistic regression model was established to analyze the association between HGI and dyslipidemia. And multivariate logistic regression model was established to analyze the relationship between HGI and blood lipid indicators in different glucose metabolism populations. Results:There were 16 049 participants in all (mean age: 56 years), including 10 452 women (65.1%). They were classified into normal glucose tolerance (9 093 cases), prediabetes (4 524 cases), and diabetes (2 432 cases) based on glucose tolerance status. In the general population, with the increase of HGI, LDL-C, non-HDL-C, and AIP gradually increased (all P values for trends were <0.05), and the proportion of abnormalities increased significantly ( χ2=101.40, 42.91, 39.80; all P<0.001). A multivariate logistic regression model was established, which suggested a significant correlation between HGI and LDL-C, non-HDL-C, and AIP (all P<0.05), after adjusting for factors such as age, sex, fasting blood glucose, hypertension, body mass index, smoking, and alcohol consumption. In the overall population, normal glucose tolerance group, and diabetes group, HGI had the highest correlation with non-HDL-C ( OR values of 1.325, 1.678, and 1.274, respectively); in the prediabetes group, HGI had a higher correlation with LDL-C ( OR value: 1.510); and in different glucose metabolism groups, AIP and HGI were both correlated ( OR: 1.208-1.250), but not superior to non-HDL-C and LDL-C. Conclusion:HGI was closely related to LDL-C, non HDL-C, and AIP in the entire population and people with different glucose metabolism, suggesting that HGI may be a predictor of atherosclerotic cardiovascular disease.

Objective:To analyze the correlation between fatty liver index (FLI) and myocardial remodeling.Methods:For cross-sectional study, cluster sampling was used to conduct a follow-up study of “Risk evaluation of cancers in Chinese diabetic individuals: A longitudinal (REACTION) study” among communities of Gucheng and Pingguoyuan of Beijing from April 2015 to September 2015. According to the inclusion and exclusion criteria, 8 848 participants were selected. Biochemical indicators such as body mass index, waist circumference, triglycerides, and γ-glutamyl transpeptidase were detected to calculate the FLI. The correlation between FLI and myocardial remodeling was analyzed. Interventricular septal thickness (IVS), left atrial diameter (LAD), left ventricular end diastolic diameter (LVEDD), and the presence of diastolic dysfunction were measured by color doppler ultrasound. The participants were divided into Q1 group (FLI<30, 4 529 cases), Q2 group (30≤FLI<60, 2 762 cases), and Q3 group (FLI≥60, 1 557 cases) based on FLI levels. Single factor analysis of variance was used for inter-group comparison, logistic regression analysis was used to analyze the correlation between FLI and myocardial remodeling.Results:A total of 8 848 subjects were selected for the study (3 110 male and 5 738 female, mean age: 59.96 years). The IVS of Q1, Q2, and Q3 groups were (9.35±1.08), (9.73±1.22), and (10.07±1.31) mm, respectively. The LAD were (30.94±3.90), (33.37±4.12), and (34.98±4.47) mm, respectively. The LVEDD were (42.51±5.05), (44.43±5.10), and (46.06±5.52) mm, respectively. All increased with the increase of FLI (all P<0.001). FLI was an independent risk factor for IVS thickening, LAD increase, LVEDD increase, and diastolic function decrease. The respective risks for IVS thickening, LAD increase, LVEDD increase, and diastolic function decrease in a population with intermediate and higher FLI levels was 1.62 times (95% CI 1.39-1.89) and 2.53 times (95% CI 2.13-3.00); 2.71 times (95% CI 2.39-3.06) and 5.00 times (95% CI 4.12-6.08); 2.36 times (95% CI 1.85-3.00) and 4.33 times (95% CI 3.33-5.62); and 1.90 times (95% CI 1.63-2.19) and 1.95 times (95% CI 1.60-2.37) than those with lower FLI levels. Conclusion:There is a certain relevance between FLI and myocardial remodeling.

Objective:To analyze the correlation between fatty liver index (FLI) and the outcomes of individuals with high normal blood pressure.Methods:In this retrospective cohort study, data from the follow-up population of the Beijing branch of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal (REACTION) study conducted from December 2011 to August 2012 were selected. Obtain indicators such as height, weight, waist circumference, fasting blood glucose, 2-h postprandial blood glucose, triglycerides, high-density lipoprotein cholesterol, and glutamyl transpeptidase were measured, and the FLI was calculated. The population with high normal blood pressure was divided into the FLI<30 group (1 822 cases); 30≤FLI<60 group (1 026 cases); and FLI≥60 group (473 cases) based on FLI levels. The blood pressure outcome data from the follow-up survey of this population from April 2015 to September 2015 were collected. Single factor analysis of variance was used for intergroup comparison, and logistic regression was used to analyze the correlation between FLI and the outcome of high normal blood pressure in the population.Results:The FLI was an independent influencing factor for their conversion to normal blood pressure (all P<0.01). Among all observed populations, the likelihood of conversion to normal blood pressure in the 30≤FLI<60 group and FLI≥60 group was 0.63 (95% CI 0.51-0.78) and 0.61 (95% CI 0.45-0.82) of the FLI<30 group, respectively. In the population of 40≤age<60 years, this likelihood was 0.60 (95% CI 0.47-0.76) and 0.57 (95% CI 0.41-0.79), respectively. FLI is not an independent influencing factor for the conversion to normal blood pressure in individuals aged over 60 years ( P=0.161). FLI is an independent risk factor for hypertension (all P<0.05). Among all observed populations and population of 40≤age<60 years and age>60 years, the risk of hypertension in the 30≤FLI<60 group and FLI≥60 group was 1.49 times (95% CI 1.23-1.80) and 1.54 times (95% CI 1.19-1.98); 1.41 times (95% CI 1.13-1.75) and 1.38 times (95% CI 1.04-1.83); and 1.75 times (95% CI 1.22-2.53) and 2.10 times (95% CI 1.24-3.58) of the FLI<30 group, respectively. Conclusions:There is a correlation between FLI levels and future outcomes of individuals with normal high blood pressure. Although people with higher FLI are more likely to develop hypertension, those with higher FLI are also less likely to develop normal blood pressure in the 40≤age<60-year group.

Objective:The study retrospectively analyzed the etiology, clinical manifestations, emergency treatment and etiological treatment of a large sample of cases with hypercalcemic crisis.Methods:The clincial data of patients with hypercalcaemia cirisis who were administered in First Medical Center of Chinese PLA General Hospital from January 2009 to July 2022 were analyzed, inculding the general data, clinical manifestations, etiology, photographic examination, emergency treatment, etiological treatment, serological examination before and after treatment, pathological immunohistochemical findings and prognosis.Results:A total of 143 hypercalcaemia crisis patients(84 males and 59 females) with a mean age of 53.51±16.60 were enrolled. The most common disease was hyperparathyroidism(62/143), followed by solid malignancy(57/143) and multiple myeloma(12/143). Patients presented with digestive system symptoms at 76.91%, followed by neurological symptoms at 63.60%, urinary system symptoms at 58.76%, musculoskeletal symptoms at 55.23%, and cardiovascular system symptoms at 32.91%. After emergency calcium-lowering treatment, the remission rate of hypercalcemic crisis in 143 patients was 100%(143/143), and after etiological treatment, the remission rate of hypercalcemia was 85.31%(122/143).Conclusion:Early identification, emergency treatment and etiology treatment of hypercalcaemia crisis are essential. Effective treament with comprehensive calcium reduction can quickly relieve clinical symptoms and create opportunities for treatment for the cause. Targeted etiological interventions can lead to the correction or long-term remission of hypercalcemia.

The clinical data, laboratory test, and gene mutations were collected from a family with Liddle syndrome. Literatures on Liddle syndrome published in domestic and abroad since 1994 were reviewed and the types of gene mutations were summarized. The proband was diagnosed with hypertension at the age of 24. Laboratory test showed that serum potassium was 3.65 mmol/L, plasma renin was <0.5 mU/L, and plasma aldosterone was 1.5 ng/dL. Proband′s father was diagnosed with hypertension at the age of 34 with the serum potassium 3.34 mmol/L, plasma renin 3.72 mU/L, and plasma aldosterone 6.04 ng/dL. A nonsense mutation(1724G>A, p.Trp575*) in exon 13 of SCNN1G gene was detected in the proband and his father. In 288 cases from 107 families reported in the review of domestic and foreign literature, the incidence of hypertension, hypokalemia, and low renin/low aldosterone were 95.1%, 55.2%, and 49.6%, respectively. This case suggests that the clinical phenotype of Liddle syndrome is heterogeneous. Patients with early-onset hypertension, regardless of whether they are accompanied by hypokalemia, should be screened for renin-angiotensin-aldosterone and genetic testing related to Liddle syndrome should be further detected in patients with low plasma renin/aldosterone.

Objective:Development and validation of a nomogram for predicting the 4-year incidence of type-2 diabetes mellitus (T2DM) in a Chinese population was attempted.Methods:This prospective cohort study was conducted in Shijingshan District Pingguoyuan Community (Beijing, China) from December 2011 to April 2012 among adults aged≥40 years not suffering from T2DM. Finally, 8 058 adults free of T2DM were included with a median duration of follow-up of 4 years. Participants were divided into a modeling group and verification group using simple random sampling at a ratio of 7∶3. Univariate and multivariate Cox proportional risk models were applied to identify the independent risk predictors in the modeling group. A nomogram was constructed to predict the 4-year incidence of T2DM based on the results of multivariate analysis. The Concordance Index and calibration plots were used to evaluate the differentiation and calibration of the nomogram in both groups.Results:A total of 5 641 individuals were in the modeling group and 2 417 people were in the validation group, of which 265 and 106 had T2DM, respectively, at 4-year follow-up. In the modeling group, age ( HR=1.349, 95% CI 1.011-1.800), body mass index ( HR=1.347, 95% CI 1.038-1.746), hyperlipidemia ( HR=1.504, 95% CI 1.133-1.996), fasting blood glucose ( HR=4.189, 95% CI 3.010-5.830), 2-h blood glucose level according to the oral glucose tolerance test ( HR=3.005, 95% CI 2.129-4.241), level of glycosylated hemoglobin ( HR=3.162, 95% CI 2.283-4.380), and level of γ-glutamyl transferase ( HR=1.920, 95% CI 1.385-2.661) were independent risk factors for T2DM. Validation of the nomogram revealed the Concordance Index of the modeling group and validation group to be 0.906 (95% CI 0.888-0.925) and 0.844 (95% CI 0.796-0.892), respectively. Calibration plots showed good calibration in both groups. Conclusion:These data suggest that our nomogram could be a simple and reliable tool for predicting the 4-year risk of developing T2DM in a high-risk Chinese population.

Objective:To explore the characteristics of the association between the triglyceride glucose (TyG) index and nonfatal cardio-cerebrovascular disease risk in a community population.Method:This was a prospective cohort study. From December 2011 to April 2012, the first investigation was conducted among subjects with more than 40-year old who were from Shijingshan district and Pingguoyuan community in Beijing. The second investigation was conducted from April to October 2015. All the subjects were divided into three groups according to the tertile of the TyG index at baseline. The multivariate Cox proportional risk regression model was established to explore the correlation between the TyG index and nonfatal cardio-cerebrovascular disease risk and the Kaplan-Meier survival curve of the TyG index group was drawn. Subgroup analyses were performed according to age, gender, body mass index, type 2 diabetes mellitus (T2DM), hypertension, and hyperlipidemia to determine the correlation characteristics between the TyG index and nonfatal cardio-cerebrovascular disease among subgroups.Results:A total of 9 577 subjects were finally included to analyze. The mean follow-up time of this study was (34.14±3.84) months. During the follow-up, 363 subjects (3.8%) occurred nonfatal cardio-cerebrovascular disease. The multivariate Cox regression analysis results showed that the hazard ratio ( HR) of nonfatal cardio-cerebrovascular disease in the high TyG index group was 1.54 (95% CI 1.19-1.98), 1.60 (95% CI 1.23-2.10), and 1.57 (95% CI 1.20-2.05) in the three models, compared with the low TyG index group. The Kaplan-Meier analysis showed that the risk of nonfatal cardio-cerebrovascular disease increased from the low-TyG index group to the high-TyG index group ( P=0.015). In the six subgroups analysis, only gender was shown to have a significant interaction effect with the TyG index and nonfatal cardio-cerebrovascular disease risk. In the female population, the risk of nonfatal cardio-cerebrovascular disease is significantly increased with the increase in the TyG index level ( P<0.001). Conclusions:A high TyG index is independently related to the increased risk of nonfatal cardio-cerebrovascular disease in the Beijing community population. Gender has a significant interaction with the TyG index and nonfatal cardio-cerebrovascular disease risk. Therefore, the TyG index may be a useful marker to predict the nonfatal cardio-cerebrovascular disease risk of a community population.

Objective:To summarize the correlation between anterior pituitary function and tumor size in patients with different hormone-secreting pituitary adenomas.Methods:This was a retrospective case series study. The clinical data of 1 946 patients with pituitary adenoma hospitalized in the First Medical Center of Chinese PLA General Hospital from January 1, 2005, to December 31, 2020, were collected. The correlation between tumor size and anterior pituitary hormone levels was analyzed using Spearman rank correlation analysis in different types of pituitary adenomas.Results:The median age of the 1 946 patients was 45.1 years, of which 857 (44.0%) were men. The maximum tumor diameter of the patients [ M ( Q1, Q3)] was 22 (14, 30) mm. Tumor size in nonfunctioning adenomas ( n=1 191) was negatively correlated with adrenocorticotropic hormone (ACTH) ( r=-0.11, P<0.001), growth hormone ( r=-0.13, P<0.001), and luteinizing hormone (men: r=-0.26, P<0.001, women: r=-0.31, all P<0.001). The tumor size of somatotropic adenomas ( n=297) was positively correlated with growth hormone ( r=0.46, P<0.001), but negatively correlated with male testosterone ( r=-0.41, P<0.001). The tumor size of ACTH-secreting pituitary adenomas ( n=155) was positively correlated with the ACTH level at 8∶00 AM ( r=0.25, P<0.001); however, no correlation was found with cortisol at 8∶00 AM ( P>0.05). The tumor size of prolactinomas ( n=303) was positively correlated with the prolactin level (men: r=0.34, P=0.001; women: r=0.13, P=0.070). Conclusions:The correlation between the function of the anterior pituitary and size of the tumor depends on the cellular origin of the pituitary adenoma and specific type of hormone secretion. In somatotroph adenomas, ACTH-secreting pituitary adenomas, and prolactinomas, there is a positive correlation between tumor size and level of hormones secreted by the corresponding tumors. In patients with nonfunctioning adenomas, the tumor size was negatively correlated with the hormone levels of the pituitary-adrenal and pituitary-growth hormone axes.