Post-diagnosis use of antihypertensive medications and the risk of death from ovarian cancer.
By: Barbara N Harding, Joseph A Delaney, Renata R Urban, Noel S Weiss

Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States of America. Electronic address: hardingb@uw.edu.
2019-03-29; doi: 10.1016/j.ygyno.2019.05.030
Abstract

Objective

To examine associations between post-diagnosis use of antihypertensive (AH) medications including thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACEIs), beta blockers (BBs) [both non-selective (NSBBs) and selective (SBBs)] and calcium channel blockers (CCBs) and ovarian cancer-specific survival.

Methods

This cohort study used SEER-Medicare data on 2195 women 66+ years of age who were diagnosed with ovarian cancer during 2007-2012 and who survived for at least 12 months. Use of an AH class was defined as two or more fills during the year after diagnosis. Ovarian cancer-specific death was assessed starting one year after diagnosis and continued through the end of 2013. Associations between AH use and ovarian cancer-specific mortality were assessed using Cox proportional hazard models, comparing users of a given class of AH to non-AH users.

Results

Overall, 718 (33%), 690 (31%), 521 (24%), 154 (7%) of women used a TD, ACEI, BB, or CCB, respectively, with some women (48%) using more than one class of drug. Ovarian cancer-specific mortality was found to be lower among women who used an ACEI (adjusted hazard ratio [aHR] 0.76, 95% confidence interval [CI] 0.63-0.92), a TD (aHR 0.82, 95%CI 0.68-0.99), or a NSBB (aHR 0.60, 95%CI 0.43-0.83), but no such association was seen in women who took a SBB or CCB.

Conclusion

We observed that women who took certain forms of an AH medication during the year following a diagnosis of ovarian cancer were thereafter at a relatively reduced risk of dying from their disease. However, the potential for residual confounding by disease severity argues for a cautious interpretation.



Copyright © 2019. Published by Elsevier Inc.

PMID:31178150






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