scholarly journals Gestational diabetes and long-term risk for dyslipidemia: a population-based historical cohort study

2020 ◽  
Vol 8 (1) ◽  
pp. e000870 ◽  
Author(s):  
Gabriel Chodick ◽  
Yaara Tenne ◽  
Yael Barer ◽  
Varda Shalev ◽  
Uriel Elchalal

ObjectivesTo assess the course of lipid levels over time in postpartum women according to gestational diabetes status, taking into account potential confounders, such as comorbid conditions and body weight.MethodsThe data for the present analysis were collected from a 2.3 million member integrated care provider in Israel. Included were all female members aged 15–50 years who performed a 50 g glucose challenge test (GCT) between March 1995 and May 2009. We collected all follow-up lipid consecration tests performed from date of delivery following the GCT (index date) until April 2017. Data analysis was performed for each lipid component individually (triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)) and the effects of the several risk factors (history of gestational diabetes mellitus (GDM), age at delivery, obesity status and smoking status) were investigated using general linear model taking into account potential confounders.ResultsA total of 160 527 women (6.1 million person-years of actual follow-up) were eligible for the analysis, including 10 234 women with GDM (6.4% of the entire cohort). During the study follow-up period, a total of 2.1 million lipid tests were performed. When adjusting for follow-up time, age at index date, body mass index status, and smoking status, GDM was associated with a 1.8-fold risk (95% CI 1.73 to 1.88) for dyslipidemia defined by TG, 1.45-fold risk (95% CI 1.38 to 1.52) for dyslipidemia defined by LDL-C, and 1.44-fold risk (95% CI 1.39 to 1.50) for dyslipidemia defined by HDL-C.DiscussionThe results of this retrospective cohort analysis indicate that gestational diabetes confers added risk for developing hyperlipidemia post partum, particularly dyslipidemia defined by TG, as compared with women with normal glucose tolerance.

2020 ◽  
Vol 8 (2) ◽  
pp. e001229
Author(s):  
Sylvia H Ley ◽  
Jorge E Chavarro ◽  
Stefanie N Hinkle ◽  
Mengying Li ◽  
Michael Y Tsai ◽  
...  

IntroductionLonger duration of lactation is associated with lower cardiometabolic disease risk, but pathogenic pathways involved in the disease progression are unclear, especially among high-risk women. We aimed to examine the associations of lifetime lactation duration with cardiometabolic biomarkers among middle-aged women with a history of gestational diabetes (GDM).Research design and methodsWomen with a history of GDM participating in the Nurses’ Health Study II, a prospective cohort study, were identified and followed through biennial questionnaires beginning in 1991. Lactation history was asked in three follow-up questionnaires to calculate lifetime duration. In 2012–2014, fasting blood samples were collected through the Diabetes & Women’s Health Study to measure inflammatory (C-reactive protein (CRP), interleukin (IL) 6), liver enzyme (alanine aminotransferase, aspartate aminotransferase, and gamma-glutamyl transferase), and lipid biomarkers (total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol).ResultsAt follow-up blood collection, women were at median age 58.2 (95% CI 51 to 65) years and 26.3 (95% CI 15.7 to 34.1) years since GDM index pregnancy. After multiple adjustment including prepregnancy body mass index (BMI), longer duration of lactation was significantly associated with lower CRP (least squares (LS) mean 1.90 mg/L (95% CI 1.47 to 2.45) for 0-month lactation, 1.98 mg/L (95% CI 1.68 to 2.32) for up to 12-month lactation, 1.67 mg/L (95% CI 1.42 to 1.97) for 12–24 month lactation, and 1.39 mg/L (95% CI 1.19 to 1.62) for >24-month lactation; p trend=0.003) and IL-6 (1.25 pg/L (95% CI 0.94 to 1.68), 1.19 pg/L (95% CI 0.99 to 1.42), 1.04 pg/L (95% CI 0.87 to 1.25), and 0.93 pg/L (95% CI 0.78 to 1.11); p trend=0.04). Longer duration of lactation was associated with lower risk for chronic inflammation using CRP 3 mg/L cut-off in middle-aged women (OR 0.81 (95% CI 0.69 to 0.940 per 1-year increase) with multiple adjustment.ConclusionsLonger lifetime duration of lactation was associated with favorable inflammatory biomarker concentrations in middle-aged women with a history of GDM. Chronic inflammatory pathways may be responsible for previously reported associations between lactation and long-term risk for cardiometabolic diseases.


2020 ◽  
Vol 55 (5) ◽  
pp. 531-539
Author(s):  
Kyueun Lee ◽  
Jihye Kim

Abstract Aims The joint effects of chronic alcohol consumption and smoking on dyslipidemia remain unclear in a prospective design. This study examined the effect of smoking on the association between long-term alcohol consumption and risk of incident dyslipidemia. Methods A total of 4467 participants (1866 men and 2601women) aged 40–69 years without dyslipidemia were recruited at baseline. Alcohol consumption was assessed biennially using a questionnaire and classified as light, moderate or heavy drinker. Smoking status was examined at baseline and categorized into non-smokers and current smokers. Dyslipidemia was defined as the presence of one or more of following: hypertriglyceridemia (triglyceride ≥200 mg/dL), hypercholesterolemia (total cholesterol ≥240 mg/dL), low high-density lipoprotein-cholesterol (HDL-C) < 40 mg/dL, or high low-density lipoprotein cholesterol ≥160 mg/dL. Results During a follow-up period of 12 years, 2872 (64.3%) participants developed dyslipidemia. In non-smoking men, light or moderate alcohol consumption was associated with a lower risk of incident dyslipidemia such as hypertriglyceridemia and hypercholesterolemia, whereas this association was not observed in current smoking men. Unlike non-smokers, the duration of alcohol drinking > 10 years was associated with a higher risk of hypertriglyceridemia in current smoking men (hazard ratio = 1.57, 95% confidence interval: 1.07–2.30, P = 0.020). In addition, alcohol consumption was inversely associated with low HDL-C regardless of smoking status. In women, alcohol consumption was inversely associated with dyslipidemia hypercholesterolemia and low HDL-C regardless of alcohol amount. Conclusion Smoking crucially confounds the association between long-term alcohol consumption and dyslipidemia, particularly in hypertriglyceridemia and hypercholesterolemia.


2011 ◽  
Vol 19 (3) ◽  
pp. 551-557 ◽  
Author(s):  
Josepha Joseph ◽  
Johan Svartberg ◽  
Inger Njølstad ◽  
Henrik Schirmer

Aims: To investigate changes in cardiovascular risk factors over 14 years in relation to diabetes status. Methods: The study is based on 10,327 subjects who attended the Tromsø Study in 1994 and were screened again in 2007–8. At baseline there were 79 prevalent cases, and 397 incident cases of type 2 diabetes mellitus (DM2) were diagnosed between 1994 and 2008. Results: Cases with DM2 had decreasing levels of high-density lipoprotein cholesterol (HDL-C), total cholesterol and blood pressure (BP) and increasing levels of triglycerides, body mass index (BMI), and anti-hypertensive treatment during 14 years of follow-up. Despite decreasing BP, more than 75% of the treated cases had BP above 135/80 at the end of follow-up. Similarly, less than 35% of incident cases using statins had low-density lipoprotein cholesterol (LDL-C) below the recommended threshold value of 2.6 mmol/l. Conclusions: Despite greater relative reduction in cardiovascular risk factors among people with DM2 compared to those without, treatment targets were met in less than 50% of subjects with DM2. Thirteen percent reached the combined targets for glucose, BP and LDL-C control. This indicates a need for more effective strategies to control cardiovascular risk factors especially among individuals with DM2.


2021 ◽  
Vol 10 (15) ◽  
pp. 3400
Author(s):  
Cathy Degroote ◽  
Roland von Känel ◽  
Livia Thomas ◽  
Claudia Zuccarella-Hackl ◽  
Jens C. Pruessner ◽  
...  

Hyperreactivity to stress may be one explanation for the increased risk of cardiovascular disease (CVD) in individuals with essential hypertension. We investigated blood lipid reactivity to the Montreal Imaging Stress Task (MIST), a psychosocial stressor, in hypertensive and normotensive men and tested for prospective associations with biological risk factors. Fifty-six otherwise healthy and medication-free hypertensive and normotensive men underwent the MIST. We repeatedly measured cortisol and blood lipid profiles (total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG)) immediately before and up to 1 h after stress. Lipid levels were corrected for stress hemoconcentration. Thirty-five participants completed follow-up assessment 2.9 ± 0.12 (SEM) years later. CVD risk was assessed by prospective changes in TC/HDL-C ratio, IL-6, D-dimer, and HbA1c from baseline to follow-up. The MIST induced significant changes in all parameters except TC (p-values ≤ 0.043). Compared with normotensives, hypertensives had higher TC/HDL-C-ratio and TG (p-values ≤ 0.049) stress responses. Blood lipid stress reactivity predicted future cardiovascular risk (p = 0.036) with increases in HbA1c (ß = 0.34, p = 0.046), IL-6 (ß = 0.31, p = 0.075), and D-dimer (ß = 0.33, p = 0.050). Our results suggest that the greater blood lipid reactivity to psychosocial stress in hypertensives, the greater their future biological CVD risk. This points to lipid stress reactivity as a potential mechanism through which stress might increase CVD risk in essential hypertension.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Sheila M Manemann ◽  
Suzette J Bielinski ◽  
Ethan D Moser ◽  
Jennifer L St. Sauver ◽  
Paul Y Takahashi ◽  
...  

Background: Larger within-patient variability of lipid levels has been associated with an increased risk of cardiovascular disease (CVD). However, measures of lipid variability are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record (EHR)-based population cohort and assessed associations with incident CVD. Methods: We identified all individuals ≥40 years of age who resided in Olmsted County, MN on 1/1/2006 (index date) without prior CVD. CVD was defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention or stroke. Patients with ≥3 measurements of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and/or triglycerides during the 5 years before the index date were retained in the analyses. Lipid variability was calculated using variability independent of the mean (VIM). Patients were followed through 9/30/2017 for incident CVD (including CVD death). Cox regression was used to investigate the association between quintiles of lipid VIMs and incident CVD. Results: We identified 18,642 individuals (mean age 60; 55% female) who were free of CVD at baseline and VIM calculated for at least one lipid measurement. After adjustment, those in the highest VIM quintiles of total cholesterol had a 25% increased risk of CVD (Q5 vs. Q1 HR: 1.25, 95% CI: 1.08-1.45; Table). We observed similar results for LDL-C (Q5 vs. Q1 HR: 1.20, 95% CI: 1.04-1.39) and HDL-C (Q5 vs. Q1 HR: 1.25, 95% CI: 1.09-1.43). There was no association between triglyceride variability quintiles and CVD risk. Conclusion: In a large EHR-based population cohort, high variability in total cholesterol, HDL-C and LDL-C was associated with an increased risk of CVD, independently of traditional risk factors, suggesting it may be a target for intervention. Lipid variability can be calculated in the EHR environment but more research is needed to determine its clinical utility.


2020 ◽  
Author(s):  
Yu Yu ◽  
Minghui Li ◽  
Xiao Huang ◽  
Wei Zhou ◽  
Tao Wang ◽  
...  

Abstract Background: Low-density lipoprotein cholesterol/high-density lipoprotein- cholesterol (LDL-C/HDL-C) ratio is an excellent predictor of cardiovascular disease (CVD). However, previous studies linking LDL-C/HDL-C ratio to mortality have been inconsistent and limited by short follow-up. Therefore, the aim of the present study was to determine whether LDL-C/HDL-C ratio could be an effective predictor of all-cause mortality in elderly hypertensive patients.Methods: We selected 6,941 hypertensive patients aged 65 years or older and untreated with lipid-lowering drugs from the Chinese Hypertension Registry for analysis. The endpoint of the study was all-cause mortality. The relationship between LDL-C/HDL-C ratio and all-cause mortality by using multivariate cox proportional hazards regression, smoothing curve fitting (penalized spline method), subgroup analysis and Kaplan–Meier survival curve to address.Results: During a median follow-up of 1.72 years, 157 all-cause deaths occurred. A U-shaped association was found between LDL-C/HDL-C ratio and all-cause mortality. The LDL-C/HDL-C ratio was divided into five groups according to quintiles. Compared to the reference group (Q3: 1.67-2.10), both lower (Q1 and Q2) and higher (Q4 and Q5) LDL-C/HDL-C ratios were associated with higher all-cause mortality (<1.67: HR 1.81, 95% CI: 1.08-3.03; ≥2.10: HR 2.00, 95% CI: 1.18-3.39). Compare with lower and higher LDL-C/HDL-C ratio groups, patients with LDL-C/HDL-C ratio of 1.67-2.10 had a significant higher survival probability (log-rank P = 0.038).Conclusion: Our results suggested that there was a U-shaped association between LDL-C/HDL-C ratio and all-cause mortality. Both lower and higher LDL-C/HDL-C ratios were associated with increased all-cause mortality in elderly hypertensive patients.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ryuichi Kawamoto ◽  
Asuka Kikuchi ◽  
Taichi Akase ◽  
Daisuke Ninomiya ◽  
Teru Kumagi

Abstract Background Low-density lipoprotein cholesterol (LDL-C) independently impacts aging-related health outcomes and plays a critical role in cardiovascular diseases (CVDs). However, there are limited predictive data on all-cause mortality, especially for the Japanese community population. In this study, it was examined whether LDL-C is related to survival prognosis based on 7 or 10 years of follow-up. Methods Participants included 1610 men (63 ± 14 years old) and 2074 women (65 ± 12 years old) who participated in the Nomura cohort study conducted in 2002 (first cohort) and 2014 (second cohort) and who continued throughout the follow-up periods (follow-up rates: 94.8 and 98.0%). Adjusted relative risk estimates were obtained for all-cause mortality using a basic resident register. The data were analyzed by a Cox regression with the time variable defined as the length between the age at the time of recruitment and that at the end of the study (the age of death or censoring), and risk factors including gender, age, body mass index (BMI), presence of diabetes, lipid levels, renal function, serum uric acid levels, blood pressure, and history of smoking, drinking, and CVD. Results Of the 3684 participants, 326 (8.8%) were confirmed to be deceased. Of these, 180 were men (11.2% of all men) and 146 were women (7.0% of all women). Lower LDL-C levels, gender (male), older age, BMI under 18.5 kg/m2, and the presence of diabetes were significant predictors for all-cause mortality. Compared with individuals with LDL-C levels of 144 mg/dL or higher, the multivariable-adjusted Hazard ratio (and 95% confidence interval) for all-cause mortality was 2.54 (1.58–4.07) for those with LDL-C levels below 70 mg/dL, 1.71 (1.15–2.54) for those with LDL-C levels between 70 mg/dL and 92 mg/dL, and 1.21 (0.87–1.68) for those with LDL-C levels between 93 mg/dL and 143 mg/dL. This association was particularly significant among participants who were male (P for interaction = 0.039) and had CKD (P for interaction = 0.015). Conclusions There is an inverse relationship between LDL-C levels and the risk of all-cause mortality, and this association is statistically significant.


Author(s):  
Salim S Virani ◽  
Lechauncy D Woodard ◽  
Supicha Sookanan ◽  
Cassie R Landrum ◽  
Tracy H Urech ◽  
...  

Background: Although current cholesterol performance measures define good quality as low density lipoprotein cholesterol (LDL-C) levels < 100mg/dl in cardiovascular disease (CVD) patients, they provide a snap shot at one time point and do not inform whether an appropriate action was taken to manage elevated LDL-C levels. We assessed frequency and predictors of this appropriate response (AR). Methods: We used administrative data to assess 22,902 CVD patients receiving care in a Veterans Affairs network of 7 hospitals and affiliated clinics. We determined the proportion of CVD patients at LDL-C goal <100 mg/dl, and the proportion of patients with uncontrolled LDL-C levels (>100 mg/dl) who had an AR [defined as the initiation or dosage increase of a lipid lowering medication (LLM), addition of a new LLM, receipt of maximum dosage or >1 LLM, or LDL-C reading <100 mg/dl] at 45 days follow-up. Logistic regression was performed to evaluate facility, provider and patient characteristics associated with AR. Results: LDL-C levels were at goal in 16,350 (71.4%) patients. An additional 2,110 (9.2%) had an AR at 45 days of follow-up. Controlling for clustering between facilities and patient's illness severity, history of diabetes (OR 1.18, 95% CI 1.03-1.35), hypertension (OR 1.21, 95% CI 1.02-1.44), patients showing good medication adherence (medication possession ratio > 0.8) [OR 2.29, 95% CI 1.99-2.64] were associated with AR. Older CVD patients (age >75 years) were less likely to receive AR (OR 0.60, 95% CI 0.52-0.70). Teaching vs. non-teaching facility (p=0.40), physician vs. non-physician provider (p=0.14), specialist vs. non-specialist primary care provider (p=0.12), and patient's race (p=0.12) were not predictors of AR. Conclusion: Among patients with CVD and LDL-C above guideline recommended levels, only one-third receive AR. Diabetic and hypertensive CVD patients are more likely to receive AR, whereas older Veterans with CVD receive AR less often likely reflecting providers' belief of lack of efficacy from treatment intensification in older CVD patients. Our findings are important for quality improvement and policy making initiatives as they provide more actionable information compared with isolated LDL-C goal attainment as a quality indicator.


Author(s):  
Iman Nazar Talib Al-Ani ◽  
Hadeer Akram AbdulRazzaq Al-Ani ◽  
Hanan Hussein ◽  
Syed Azhar Syed Sulaiman ◽  
Aseel Hadi Abdulameer Al-Hashimi ◽  
...  

Objective: is to assess the dyslipidemia control and demographic differences in lipid patterns among dyslipidemic cardiac patients. Method: data based a retrospective analysis of 504 persons (age mean 58.16 ± 11.119 years) was conducted in Malaysia which estimated the lipid abnormalities in statin-treated patients. Demographic data including age, race, alcoholic and smoking status were collected. Lipid profiles including triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured. Results: a desirable level of (TC) and (TG) were 62.2% and 54.4% respectively, optimal level of (LDL-C) was 66.5% and the normal level of (HDL-C) was 54.2%. Risk factor analysis of dyslipidemia was done with a primary focus on the possible impact of statin type, gender, race and dyslipidemia type. Atorvastatin was significantly more effective for primary dyslipidemia than simvastatin and lovastatin in HDL cholesterol ( p < 0.002), while in LDL cholesterol (p = 0.001) and total cholesterol (p < 0.03) simvastatin was significantly found more effective for primary dyslipidemia. A significant correlation emerged between gender and statin type in HDL cholesterol (p < 0.02) and total cholesterol TC (p < 0.001), atorvastatin is found more effective to be used by males than females. A correlation was also significant between gender and dyslipidemia type in HDL cholesterol (p < 0.01). Results for triglyceride reported a significant relationship between age, race and statin type (p < 0.001), atorvastatin was found to be more effective among Chinese while lovastatin was more effective among Indians. Finally 18.2% abnormality of HDL was explained by interactions of risk factors: first statin type and dyslipidemia type, second for gender and dyslipidemia type and the third was gender and statin type. Conclusions: more than 50% of cardiac outpatients were in an acceptable range of lipid profile evaluation. This could support the need for increasing attention to basic monitoring of cardiovascular risk factors in these dyslipidemic patients particularly in Asian population.


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