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Meta-Analysis
. 2017 Mar;55(3):732-740.
doi: 10.1007/s12020-016-1201-5. Epub 2016 Dec 19.

ACE inhibitors and the risk of fractures: a meta-analysis of observational studies

Affiliations
Meta-Analysis

ACE inhibitors and the risk of fractures: a meta-analysis of observational studies

Yan-Zhen Cheng et al. Endocrine. 2017 Mar.

Abstract

A meta-analysis was conducted to evaluate the effect of treatment with angiotensin-converting enzyme inhibitors on the risk of fractures. All the included articleswere retrieved from MEDLINE, EMBASE and the Cochrane Database. Trial eligibility and methodological quality were assessed before data extraction. Relative risk (RR) with corresponding 95% confidence intervals (95% CI) were used to assess the effect. Six case-control studies with11,387,668 participants met the inclusion criteria and were included in the meta-analysis. A small but significant risk effect on fractures was shown in the overall analysis of angiotensin-converting enzyme inhibitor users compared with nonusers (Pooled RR 1.27; 95% CI 1.01-1.60), although a relatively high heterogeneity was found across studies. In the stratified analysis, therewas no statistically significant association in the subgroups of hip fracture (Pooled RR 1.14; 95% CI 0.73-1.76) and the study quality (Pooled RR 1.13; 95% CI 0.89-1.44), while the over 65-year-old angiotensin-converting enzyme inhibitor users showed a stronger risk effect on fractures (Pooled RR 2.06; 95% CI 1.53-3.17). Moreover, age was found to be contributed a large part of the high heterogeneity across the included studies. This study demonstrated that the use of angiotensin-converting enzyme inhibitors might have a small but significant risk effect on fractures, especially for the over 65-year-old users. These results should be interpreted with caution as the relatively high heterogeneity across studies. Additional multiple observational studies and high quality data from randomized controlled trials are needed to confirm these findings.

Keywords: ACE inhibitors; Fractures; Meta-analysis; Observational studies.

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