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 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: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.

A 38-year-old female presented with irregular menstruation and hirsutism that started at age of 16 and diagnosed with polycystic ovary syndrome at age of 29 with elevated testosterone. When treated with ethinestradiol cyproterone tablets, her menstruation returned to normal and androgen levels was not changed. At age of 38 she was referred to the hospital with infertility, a diagnosis of nonclassical 21-hydroxylase deficiency was confirmed using 17-hydroxyprogesterone, dehydroepiandrosterone-sulfate, a cosyntropin-stimulation test and genetic test. This case suggested that nonclassical congenital adrenal hyperplasia should be considered when a patient is presented with oligomenorrhea, hirsutism with hyperandrogenemia and infertility.

Humans ; Cytomegalovirus ; Cytomegalovirus Infections ; Antigens, Viral ; Immunity ; Autoimmune Diseases ; CD8-Positive T-Lymphocytes

BACKGROUND: The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin (HbA1c) bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACEs) by performing a large multicenter cohort study in China. METHODS: A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study (the REACTION study) were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. RESULTS: The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors ( χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (ORs) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. CONCLUSIONS We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.
Humans ; Cohort Studies ; Longitudinal Studies ; Diabetes Mellitus, Type 2/diagnosis* ; Maillard Reaction ; Glycated Hemoglobin ; Cardiovascular Diseases

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.