EurekaMag.com logo
+ Site Statistics
References:
53,869,633
Abstracts:
29,686,251
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on LinkedInFollow on LinkedIn

+ Translate

Iron stores and coronary artery disease: a clinical application of a method to incorporate measurement error of the exposure in a logistic regression model



Iron stores and coronary artery disease: a clinical application of a method to incorporate measurement error of the exposure in a logistic regression model



Journal of Clinical Epidemiology 53(8): 809-816



Rates of coronary artery disease (CAD) increase sharply after menopause. We examined the hypotheses that high iron stores, as measured by plasma ferritin levels, are a risk factor for CAD and that the increase in iron stores after menopause is at least in part responsible for the rise in CAD in women. We also investigated measurement error of plasma ferritin using a Bayesian conditional independence model and incorporated it into the estimation of the odds ratio (OR) for males. Cases had gtoreq1 coronary artery stenosis gtoreq70%. Controls had no visible coronary lesions on angiography. The median plasma ferritin level was 48 mg/L (interquartile range: 28 to 86) among 244 cases and 45 mg/l (24 to 85) among 140 controls. The multivariate analyses among females, males, and females and males combined did not support an association between plasma ferritin levels and CAD (OR for one unit change in log ferritin 1.01, 95% CI 0.71-1.44, OR 0.95, 95% CI 0.66-1.37 and OR 0.95, 95% CI 0.75-1.21, respectively). Accounting for the measurement error of ferritin in males slightly improved the precision of the estimate of the OR but did not unmask an association (OR: 0.94, 95% CI 0.69-1.30). We conclude that high ferritin levels before or after menopause are not associated with CAD. Measurement error might be considered in situations where a one time measurement is assumed to be representative of long-term exposure.

(PDF emailed within 0-6 h: $19.90)

Accession: 010885386

Download citation: RISBibTeXText

PMID: 10942863

DOI: 10.1016/s0895-4356(99)00234-6



Related references

Corrections for exposure measurement error in logistic regression models with an application to nutritional data. Statistics In Medicine. 13(11): 1135-1148, 1994

Logistic regression with exposure biomarkers and flexible measurement error. Biometrics 63(1): 143-151, 2007

The comparison of logistic regression model selection methods for the prediction of coronary artery disease. Anadolu Kardiyoloji Dergisi 7(1): 6-11, 2007

Saddlepoint approximations of marginal densities and confidence intervals in the logistic regression measurement error model. Biometrics 52(3): 1096-1102, 1996

Coronary risk factors used to predict coronary artery disease by logistic regression analysis. Japanese Circulation Journal 56(12): 1199-1205, 1992

Evaluation of regression calibration and SIMEX methods in logistic regression when one of the predictors is subject to additive measurement error. Journal of Epidemiology and Biostatistics 4(2): 65-74, 2000

A consensus approach to predicting angiographic coronary artery disease Applying logistic regression equations based on clinical and standard exercise electrocardiographic test data. European Heart Journal 17(ABSTR SUPPL ): 239, 1996

Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error. American Journal of Epidemiology 132(4): 734-745, 1990

The use of radionuclide angiography in the diagnosis of coronary artery disease--a logistic regression analysis. Circulation 68(4): 740-746, 1983

Bayesian method for improving logistic regression estimates under group-based exposure assessment with additive measurement errors. Archives of Environmental & Occupational Health 64(4): 261-265, 2010

Feasibility of predicting the risk of atrial fibrillation after coronary artery bypass surgery with logistic regression model. Scandinavian Journal of Surgery 91(4): 339-344, 2003

Use of radio nuclide angiography in the diagnosis of coronary artery disease a logistic regression analysis. Circulation 68(4): 740-746, 1983

Study on the factors influencing iron deficiency anemia in preschool children the application of conditional logistic regression model. Acta Nutrimenta Sinica 12(3): 283-287, 1990

A simulation study of measurement error correction methods in logistic regression. Biometrics 56(3): 868-872, September, 2000

A logistic regression analysis of multiple noninvasive tests for the prediction of the presence and extent of coronary artery disease in men. American Heart Journal 110(2): 460-469, 1985