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Prognostic Value of Adipokines in Predicting Cardiovascular Outcome: Explaining the Obesity Paradox.

ABSTRACT: To evaluate the cardiovascular (CV) prognostic value of adipokines in a large prospective cohort of patients participating in the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial.The effects of the adipokine levels at baseline and change from baseline on the composite outcome (CV death, myocardial infarction, and stroke) were analyzed using unadjusted and fully adjusted Cox models in 2330 patients with type 2 diabetes and coronary artery disease who had participated in the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial (from January 1, 2001, through December 1, 2008).In a fully adjusted model, baseline leptin and change from baseline leptin were protective for CV events, whereas baseline adiponectin, baseline tumor necrosis factor ? (TNF-?), change from baseline TNF-?, baseline C-reactive protein (CRP), and change from baseline CRP were harmful. The effect of baseline leptin on CV events depended on the body mass index (BMI), such that the hazard ratios (HRs) varied between 0.6 and 1.4 across the BMI quintiles (interaction P=.03). The same was true for baseline adiponectin (HR varied from 0.7 to 1.7; interaction P=.01), change from baseline monocyte chemoattractant protein-1 (HR varied from 0.8 to 1.8; interaction P=.03), change from baseline TNF-? (HR varied from 0.9 to 1.4; interaction P=.02), and change from baseline IL-6 (HR varied from 0.7 to 1.8; interaction P=.005).Adipokines are independent predictors of CV events in patients with type 2 diabetes and coronary artery disease. The association between the specific adipokines and CV outcome varies depending on BMI. This reflects the complex pathophysiology of CV disease in obesity and may help explain the "obesity paradox."clinicaltrials.gov Identifier: NCT00006305.

SUBMITTER: Wolk R

PROVIDER: S-EPMC4935584 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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Prognostic Value of Adipokines in Predicting Cardiovascular Outcome: Explaining the Obesity Paradox.

Wolk Robert R Bertolet Marnie M Singh Prachi P Brooks Maria M MM Pratley Richard E RE Frye Robert L RL Mooradian Arshag D AD Rutter Martin K MK Calvin Andrew D AD Chaitman Bernard R BR Somers Virend K VK

Mayo Clinic proceedings 20160609 7

<h4>Objective</h4>To evaluate the cardiovascular (CV) prognostic value of adipokines in a large prospective cohort of patients participating in the Bypass Angioplasty Revascularization Investigation 2 Diabetes trial.<h4>Patients and methods</h4>The effects of the adipokine levels at baseline and change from baseline on the composite outcome (CV death, myocardial infarction, and stroke) were analyzed using unadjusted and fully adjusted Cox models in 2330 patients with type 2 diabetes and coronary ...[more]

PMID: 27289411

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Project description:BackgroundParental weight is studied as an important determinant of childhood obesity; however, obesity-related metabolic abnormalities have been less considered as determinants of childhood obesity. This study aimed to investigate the association between maternal obesity phenotypes and incidence of obesity in their offspring.MethodsThis longitudinal study was conducted within the framework of the Tehran Lipid and Glucose Study. A total of 2151 non-obese children who had complete parental information were followed for incidence of obesity over a mean of 148.7 ± 34.7 months. Obesity in children was defined using the World Health Organization criteria. Maternal body mass index (BMI) was classified into three categories: normal weight, overweight and obese. Dysmetabolic status was considered as having metabolic syndrome or diabetes. Metabolic syndrome and diabetes were defined according to the Joint Interim Statement and American diabetes association criteria, respectively. Considering maternal BMI categories and metabolic status, six obesity phenotypes were defined as followed: 1) normal weight and normal metabolic status, 2) overweight and normal metabolic status, 3) obese and normal metabolic status, 4) normal weight and dysmetabolic status, 5) overweight and dysmetabolic status, and 6) obese and dysmetabolic status. The association between maternal obesity phenotypes and incidence of obesity in children was studied using Cox proportional regression hazard model.ResultsIn male offspring, the risk of incidence of obesity significantly increased in those with maternal obesity phenotypes including overweight/normal metabolic: 1.75(95% CI: 1.10-2.79), obese/normal metabolic: 2.60(95%CI: 1.51-4.48), overweight/dysmetabolic: 2.34(95%CI: 1.35-4.03) and obese/dysmetabolic: 3.21(95%CI: 1.94-5.03) compared to the normal weight/normal metabolic phenotype. Similarly, in girls, the risk of incidence of obesity significantly increased in offspring with maternal obesity phenotypes including overweight/normal metabolic: 2.39(95%CI: 1.46-3.90), obese/normal metabolic: 3.55(95%CI: 1.94-6.46), overweight/dysmetabolic: 1.92(95%CI: 1.04-3.52) and obese/dysmetabolic: 3.89(95%CI: 2.28-6.64) compared to normal weight/normal metabolic phenotype. However, maternal normal weight/dysmetabolic phenotype did not significantly change the risk of obesity in both male and female offspring.ConclusionExcept for normal weight/dysmetabolic phenotype, all maternal obesity phenotypes had significant prognostic values for incidence of offspring obesity with the highest risk for obese/dysmetabolic phenotype. This study provides valuable findings for identifying the first line target groups for planning interventions to prevent childhood obesity.

Project description:BackgroundAdverse cardiac events that follow cardiac surgery are an important source of perioperative morbidity and mortality for women. Troponin I provides a sensitive measure of cardiac injury, but the levels after cardiac surgery may vary between sexes. Our purpose in this study was to evaluate the prognostic value of troponin I levels for predicting cardiovascular complications in postmenopausal women undergoing cardiac surgery.MethodsThe cohort of this study were women enrolled in a previously reported clinical trial evaluating the neuroprotective potential of 17beta-estradiol in elderly women. In that study, 175 postmenopausal women not receiving estrogen replacement therapy and scheduled to undergo coronary artery bypass graft (with or without valve surgery) were prospectively randomized to receive 17beta-estradiol or placebo in a double-blind manner beginning the day before surgery and continuing for 5 days postoperatively. Serial 12-lead electrocardiograms were performed and serum troponin I concentrations were measured before surgery, after surgery on arrival in the intensive care unit, and for the first four postoperative days. The primary end-point of the present study was major adverse cardiovascular events (MACE) defined as a Q-wave myocardial infarction, low cardiac output state or death within 30 days of surgery. The diagnosis of Q-wave myocardial infarction was made independently by two physicians blinded to treatment and patient outcomes with the final diagnosis requiring consensus. Low cardiac output state was defined as cardiac index <2.0 L x min(-1) x m(-2) for >8 h regardless of treatment.ResultsTroponin I levels on postoperative day 1 were predictive of MACE (area under the receiver operator curve = 0.862). A cutoff point for troponin I of >7.6 ng/mL (95% confidence interval, 6.4-10.8) provided the optimal sensitivity and specificity for identifying patients at risk for MACE. The negative predictive value of a troponin I level for identifying a patient with a composite cardiovascular outcome was high (96%) and the positive predictive value moderate (40%). Postoperative troponin I levels were not different between women receiving perioperative 17beta-estradiol treatment compared with placebo and the frequency of MACE was not influenced by 17beta-estradiol treatment.ConclusionsIn postmenopausal women, elevated troponin I levels on postoperative day 1 are predictive of MACE. Monitoring of perioperative troponin I levels might provide a means for stratifying patients at risk for adverse cardiovascular events.

Dataset Information

Prognostic Value of Adipokines in Predicting Cardiovascular Outcome: Explaining the Obesity Paradox.

Publications

Prognostic Value of Adipokines in Predicting Cardiovascular Outcome: Explaining the Obesity Paradox.

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