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  3. National Taiwan University Hospital / 醫學院附設醫院 (臺大醫院)
  4. Predictors of cardiovascular events in a contemporary population with impaired glucose tolerance: An observational analysis of the Nateglinide and Valsartan in impaired glucose tolerance outcomes research (NAVIGATOR) trial
 
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Predictors of cardiovascular events in a contemporary population with impaired glucose tolerance: An observational analysis of the Nateglinide and Valsartan in impaired glucose tolerance outcomes research (NAVIGATOR) trial

Journal
BMJ Open
Journal Volume
2
Journal Issue
6
Date Issued
2012
Author(s)
Preiss D.
Thomas L.E.
Sun J.-L.
Haffner S.M.
Holman R.R.
Standl E.
Leiter L.A.
Mazzone T.
Rutten G.E.
Tognoni G.
Martinez F.A.
FU-TIEN CHIANG  
Califf R.M.
McMurray J.J.
DOI
10.1136/bmjopen-2012-001925
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/551681
Abstract
Objectives: Risk factors for cardiovascular events are well established in general populations and those with diabetes but have been sparsely studied in impaired glucose tolerance (IGT). We sought to identify predictors of (1) a composite cardiovascular outcome (cardiovascular death, non-fatal myocardial infarction and non-fatal stroke) and (2) cardiovascular death, among patients with IGT. Design: We studied participants enrolled in the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) trial. Predictors of cardiovascular events were identified in observational analyses. Setting: Clinical trial participants in 40 countries. Participants: 9306 participants with biochemically confirmed IGT at high risk of cardiovascular events participated in NAVIGATOR. Primary and secondary outcome measures: Cox proportional hazard regression models were constructed using variables (demographic data, medical history, clinical features, biochemical results and ECG findings) recorded at baseline to identify variables associated with and predictive of cardiovascular events. Results: Over 6.4 years, 639 (6.9%) participants experienced a cardiovascular event, and 244 (2.6%) cardiovascular death. While predictors of both outcomes included established risk factors such as existing cardiovascular disease, male gender, older age, current smoking status and higher low-density lipoprotein cholesterol, other variables such as reduced estimated glomerular filtration rate, previous thromboembolic disease, atrial fibrillation, higher urinary albumin/creatinine ratio and chronic obstructive pulmonary disease were also important predictors. Glycaemic measures were not predictive of cardiovascular events. c-Statistics for predicting cardiovascular events and cardiovascular death were 0.74 and 0.82, respectively. This compares with c-statistics for cardiovascular events and cardiovascular death of 0.65 and 0.71, respectively, using the classical Framingham risk factors of age, total cholesterol, high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension and smoking status.
SDGs

[SDGs]SDG3

Other Subjects
acetylsalicylic acid; albumin; alpha adrenergic receptor blocking agent; antihypertensive agent; antilipemic agent; beta adrenergic receptor blocking agent; calcium channel blocking agent; creatinine; dipeptidyl carboxypeptidase inhibitor; diuretic agent; glucose; glycosylated hemoglobin; high density lipoprotein cholesterol; hydroxymethylglutaryl coenzyme A reductase inhibitor; low density lipoprotein cholesterol; nateglinide; placebo; valsartan; adult; aging; antihypertensive therapy; article; cardiovascular disease; cardiovascular risk; cerebrovascular accident; cholesterol blood level; chronic obstructive lung disease; comorbidity; controlled study; creatinine urine level; diabetes mellitus; double blind procedure; electrocardiogram; female; Framingham risk score; glomerulus filtration rate; glucose blood level; heart atrium fibrillation; heart death; heart infarction; high risk population; human; hyperlipidemia; hypertension; impaired glucose tolerance; ischemic heart disease; kidney function; lifestyle modification; major clinical study; male; observational study; oral glucose tolerance test; outcomes research; prediction; primary prevention; proportional hazards model; protein urine level; randomized controlled trial; risk factor; risk reduction; secondary prevention; sex difference; smoking; systolic blood pressure; thromboembolism; treatment outcome
Type
journal article

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