scholarly journals Association of evaluated glomerular filtration rate and incident diabetes mellitus: a secondary retrospective analysis based on a Chinese Cohort Study

2020 ◽  
Author(s):  
Haofei Hu ◽  
Mijie Guan ◽  
Zhuangsen Chen ◽  
Yang Wu ◽  
Qijun Wan
Keyword(s):  
Blood Pressure ◽  
Family History ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Incident Diabetes ◽  
Family History Of Diabetes ◽  
Drinking Status ◽  
History Of ◽  
The Relationship

Abstract Background: Previous studies have revealed that chronic kidney disease (CKD) is one of major risk factors of insulin resistance and diabetes. However, there are few investigations of the correlations between the estimated glomerular filtration rate (eGFR) and incident diabetes, especially in Chinese population. This study was taken to explore the relationship between eGFR and incident diabetes in a large cohort in Chinese community population. Methods: The present study was a retrospective cohort study. A total of 199,435 adults from Rich Healthcare Group in China, which includes all medical records for participants who received a health check from 2010 to 2016. The target independent variable and the dependent variable were eGFR measured at baseline and incident diabetes mellitus appeared during follow-up respectively. Covariates involved in this study included age, gender, body mass index, diastolic blood pressure, systolic blood pressure, fasting plasma glucose, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglyceride, alanine aminotransferase, aspartate aminotransferase, smoking and drinking status and family history of diabetes. Cox proportional-hazards regression was used to investigate the association between eGFR and incident diabetes. Generalized additive model was used to identify non-linear relationships. Additionally, we also performed a subgroup analysis. It was stated that the data had been uploaded to the DATADRYAD website. Result: After adjusting gender, body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglyceride, alanine aminotransferase, aspartate aminotransferase, smoking and drinking status and family history of diabetes, result showed eGFR was negatively associated with incident diabetes (HR=0.987, 95%CI (0.984, 0.989)). A J shape relationship was detected between eGFR and incident diabetes, which had an inflection point of eGFR was 97.967 mL/min-1·(1.73 m2)-1. The effect sizes and the confidence intervals on the left and right sides of the inflection point were 0.999 (0.994,1.004) and 0.977 (0.974,0.981), respectively. Subgroup analysis showed, the stronger association can be found in the population with FPG<6.1mmol/L, BMI<24kg/m2, SBP<140mmHg, DBP<90mmHg, HDL in middle level and family history without diabetes. The same trend was also seen in men and in the population with never or ever smoking. Conclusion: eGFR is independently associated with incident diabetes. The relationship between eGFR and incident diabetes is also non-linear. eGFR was strong negatively related to incident diabetes when eGFR is above 97.967 mL/min-1·(1.73 m2)-1.

scholarly journals Genetic Predisposition to Low-Density Lipoprotein Cholesterol May Increase Risks of Both Individual and Familial Alzheimer's Disease

2022 ◽  
Vol 8 ◽  
Author(s):  
Jiang-Shan Tan ◽  
Meng-Jin Hu ◽  
Yan-Min Yang ◽  
Yue-Jin Yang
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Family History ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
History Of ◽  
Mr Study

Background: Previous observational studies provided conflicting results on the association between low-density lipoprotein cholesterol (LDL-C) level and the risk of Alzheimer's disease (AD).Objective: We used two-sample Mendelian randomization (MR) study to explore the causal associations between LDL-C level and the risks of individual, paternal, maternal, and family history of AD.Methods: Summary-level genetic data for LDL-C were acquired from results of the UK Biobank GWAS. Corresponding data for paternal, maternal, and family history of AD were obtained from the NHGRI-EBI Catalog of human genome-wide association studies. Data for individual AD were obtained from the MR-Base platform. A two-sample MR study was performed to explore the causal association between LDL-C level and the risks of individual, paternal, maternal, and family history of AD.Results: Genetically predicted LDL-C was positively associated with individual [Odds ratio (OR) = 1.509, 95% confidence interval (CI) = 1.140–1.999; P = 4.0 × 10−3], paternal [OR = 1.109, 95% CI = 1.053–1.168; P = 9.5 × 10−5], maternal [OR = 1.132, 95% CI = 1.070–1.199; P = 2.0 × 10−5], and family history of AD [OR = 1.124, 95% CI = 1.070–1.181; P = 3.7 × 10−6] in inverse variance weighted analysis. After performing weighted median and MR-Egger analysis, consistent results were observed. There was no horizontal pleiotropy in the two-sample MR analysis.Conclusions: High level of LDL-C may increase the risks of both individual and familial AD. Decreasing the LDL-C to a reasonable level may help to reduce the related risk.

scholarly journals Prediction of subclinical coronary atherosclerosis in patients with high and very high cardiovascular risk

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
N Pogosova ◽  
NP Kachanova ◽  
YM Yufereva ◽  
OY Sokolova ◽  
IE Koltunov ◽  
...  
Keyword(s):  
Family History ◽  
Ct Angiography ◽  
Coronary Atherosclerosis ◽  
Subclinical Atherosclerosis ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Diagnostic Model ◽  
History Of ◽  
Hs Crp ◽  
Very High

Abstract Funding Acknowledgements Type of funding sources: None. Background Coronary atherosclerosis has a long subclinical period. It’s early detection may offer a possibility of timely initiation of preventive interventions Purpose To develop a diagnostic rule for detection of patients (pts) with high probability of subclinical atherosclerosis among those with high or very high cardiovascular (CV) risk. Methods This cross-sectional study enrolled 52 pts (32 men [62%]), aged 40 to 65 years [mean age 54.6 ± 8.0]) with high or very high CV risk (5-9 and ≥10% by The Systematic Coronary Risk Estimation Scale [SCORE], respectively). All participants underwent cardiac computed tomography (CT) angiography and calcium scoring. Traditional risk factors (RFs) (family history of premature CVD, smoking, overweight/obesity and abdominal obesity, hypertension, type 2 diabetes mellitus, lipids parameters (total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides) and lipids-related markers (apolipoprotein A1, apolipoprotein B, ApoB/ApoA1 ratio), biomarkers of inflammation (high-sensitivity C-reactive protein [hs CRP], fibrinogen), indicator carbohydrate metabolism (glucose),  ankle-brachial index,  stress-test, carotid plaques according to ultrasound were evaluated in all pts. Psychological RFs were evaluated using Hospital Anxiety and Depression Scale and DS-14 for type D personality. Results All pts were divided into 2 groups according to the CT angiography results: pts in the main group (n = 21) had any non-obstructive lesions or calcium score &gt;0, pts in the control group (n = 31) had intact coronary arteries. The groups did not differ in age or gender. 26 multiple linear logistic models for any subclinical atherosclerosis were developed based on obtained diagnostic features. Taking into account R-square = 0.344 (p = 0.0008), the best fitting model was follows:  subclinical coronary atherosclerosis= -1.576 + 0.234 x SCORE ≥5%  + 0.541 x hs CRP &gt;2 g/l + 0.015 x heart rate  (bpm) + 0.311 family history of premature CVD.  The developed algorithm had sensitivity of 63% and  specificity of 80%. Conclusions The created diagnostic model diagnostic model suggests the presence of subclinical coronary atherosclerosis in patients with high / very high CV risk with a high degree of probability. This easy-to-use method can be used in routine clinical practice to improve risk stratification and management choices in high-risk pts.

Migraine in Children: Association With Primary and Familial Dyslipoproteinemias

PEDIATRICS ◽  
1986 ◽  
Vol 77 (3) ◽  
pp. 316-321
Author(s):  
Charles J. Glueck ◽  
Stephen R. Bates
Keyword(s):  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Degree Relative ◽  
Presumptive Diagnosis ◽  
History Of ◽  
Premature Myocardial Infarction ◽  
Disproportionate Number ◽  
Severe Migraine ◽  
Cerebral Vascular

We studied lipids and lipoprotein cholesterols in 39 children (26 boys, 13 girls) with severe migraine, to examine the hypothesis that primary and familial lipoprotein abnormalities might be associated with or predispose children to the migraine syndrome. Each of the children, 4 to 20 years of age, had severe migraine, leading to pediatric neurologic referral and therapy. Twenty-five of the 39 probands (64%) had a first degree relative with severe migraine, and 18% had a second degree relative with severe migraine. In 11 of the 39 kindreds (28%), there was a family history of premature myocardial infarction and/or cerebral vascular accident (&lt;age 55 years), involving one grandparent from each of ten kindreds and one parent in the 11th kindred. In nine of the 26 boys, low-density lipoprotein cholesterol (LDL-C) levels were greater than or equal to the age-, sex-, race-specific 90th percentile, and in three of these nine children, there was at least one additional first degree relative also having a primary top decile LDL-C level, consistent with the presumptive diagnosis of familial hypercholesterolemia. The finding of more than three times as many boys with migraine headache having top decile LDL-C than expected (9 v 2.6) was significant (x2 = 17.5, P &lt;.01). Also, there were six boys having bottom decile levels of high-density lipoprotein cholesterol (HDL-C); all six came from kindreds with at least one first degree relative also having bottom decile HDL-C. The finding of more than two times as many boys with migraine having bottom decile HDL-C than expected (6 v 2.6) was significant (x2 = 4.94, P &lt; .05). Of the 13 female pediatric probands, two had top decile LDL-C and two had bottom decile HDL-C and came from families with at least one additional first degree family relative also having a primary and similar dyslipoproteinemia. Our observations suggest that the clinical diagnosis of severe migraine in childhood should lead to measurement of lipids and lipoprotein cholesterols, particularly in boys, because they represent a cohort with a disproportionate number of hyper-β- and hypo-α-lipoproteinemic subjects. We speculate that primary and familial lipoprotein abnormalities, particularly those involving high levels of LDL-C and/or low levels of HDL-C, may be etiologically related to migraine, perhaps related to platelet hyperaggregability, and/or increased likelihood of cerebral vascular instability.

Association of Triglyceride-glucose Index and the Risk of Incident Diabetes: a Secondary Analysis Based on a Chinese Cohort Study

2020 ◽  
Author(s):  
Xiaoli Li ◽  
Guilong Li ◽  
Tiantian Cheng ◽  
Jing Liu ◽  
Guangyao Song ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Incident Diabetes ◽  
Family History Of Diabetes ◽  
Tyg Index ◽  
Fasting Plasma ◽  
Increased Risk ◽  
The Relationship

Abstract BackgroundTriglyceride-glucose index (TyG index) has been regarded as a reliable alternative marker of insulin resistance. However, study on the relationship between TyG index and incident diabetes remains limited. This study aimed to investigate the association between TyG index and incident diabetes in a large cohort of Chinese population.MethodsThe present study was a retrospective cohort study using healthy screening programme data in China. A total of 201,298 subjects free of baseline diabetes were included who received a health check with all medical records from 2010 to 2016. TyG index was calculated as Ln[fasting triglyceride level (mg/dl) x fasting plasma glucose (mg/dl)/2]. Diagnosis of diabetes was based on fasting plasma glucose ≥ 7.00 mmol/L and/or self-reported diabetes. Cox proportion-hazard model was used to assess the relationship between TyG index at baseline and the risk of incident diabetes. It should be noted that the data was uploaded to the DATADRYAD website, and we only used this data for secondary analysis.ResultsDuring a mean follow-up of 3.12 years of 201,298 individuals aged ≥ 20 years old, 3389 subjects developed diabetes. After adjusting for age, sex, body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, low density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, serum creatinine, smoking, drinking and family history of diabetes, multivariate cox hazards regression analysis indicated that TyG index was positive correlation with the risk of developing diabetes in Chinese population (HR, 3.34; 95% CI, 3.11 to 3.60). The risk of incident diabetes increased with increasing TyG index. Subjects with TyG index in the fourth quartile were 6.26 times more likely to develop diabetes than the lowest quartile (P trend < 0.001). Subgroup analysis showed the stronger association was observed in the population with age < 40, BMI (≥ 18.5, < 24 kg/m2), SBP < 140 mmHg or females (all P for interaction < 0.0001).Conclusions TyG index was independently correlated with the increased risk of diabetes in Chinese adults, suggesting that TyG index may be a useful marker for identifying individuals at high risk of developing diabetes.

Sign in / Sign up

Export Citation Format

Share Document