Quantifying risk of injury from usual alcohol consumption: An instrumental variable analysis

Author(s):  
Yu Ye ◽  
Cheryl J. Cherpitel ◽  
Joseph V. Terza ◽  
William C. Kerr
Author(s):  
Inge A. T. van de Luitgaarden ◽  
Sabine van Oort ◽  
Emma J. Bouman ◽  
Linda J. Schoonmade ◽  
Ilse C. Schrieks ◽  
...  

AbstractThe causal effects of alcohol-in-moderation on cardiometabolic health are continuously debated. Mendelian randomization (MR) is an established method to address causal questions in observational studies. We performed a systematic review of the current evidence from MR studies on the association between alcohol consumption and cardiometabolic diseases, all-cause mortality and cardiovascular risk factors. We performed a systematic search of the literature, including search terms on type of design and exposure. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions. We additionally looked at exploration of non-linearity. We reported the direction of the studied associations. Our search yielded 24 studies that were eligible for inclusion. A full instrumental variable analysis was performed in 17 studies (71%) and 13 out of 24 studies (54%) validated all three key assumptions. Five studies (21%) assessed potential non-linearity. In general, null associations were reported for genetically predicted alcohol consumption with the primary outcomes cardiovascular disease (67%) and diabetes (75%), while the only study on all-cause mortality reported a detrimental association. Considering the heterogeneity in methodological quality of the included MR studies, it is not yet possible to draw conclusions on the causal role of moderate alcohol consumption on cardiometabolic health. As MR is a rapidly evolving field, we expect that future MR studies, especially with recent developments regarding instrument selection and non-linearity methodology, will further substantiate this discussion.


Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Alexander Flint ◽  
Hooman Kamel ◽  
Babak Navi ◽  
Vivek Rao ◽  
Bonnie Faigeles ◽  
...  

Objective: To determine whether statin use is associated with improved discharge disposition after ischemic stroke. Methods: We analyzed 12,689 patients with ischemic stroke over a 7 year period at 17 hospitals in Kaiser Permanente Northern California. We used multivariable generalized ordinal logistic regression and instrumental variable analysis of treatment patterns by hospital to control for the possibility of confounding. Results: Statin users before and during stroke hospitalization were more likely to be discharged home (54.9% for statin users, 46.3% for statin non-users) and less likely to die in hospital (5.3% for statin users, 10.3% for statin non-users). Patients who underwent statin withdrawal in-hospital were less likely to be discharged home (39.1% for statin withdrawal, 54.9% for statin continuation) and more likely to die in hospital (22.3% for statin withdrawal, 5.3% for statin continuation). Users of higher statin doses (>60 mg / day) were even more likely to be discharged home (62.5% for high dose statin, 56.5% for usual dose statin, and 47.4% for no statin) and less likely to die in hospital in-hospital (3.5% for high dose statin, 5.6% for usual dose statin, and 10.6% for no statin). These results were confirmed by multivariable analysis. The association of statin use and improved outcomes was also confirmed by instrumental variable analysis of treatment patterns by hospital, and thus this association cannot be explained by confounding at the individual patient level. Conclusions: Statin use is associated with improved discharge disposition after ischemic stroke, particularly at higher doses.


2020 ◽  
pp. bjsports-2020-102155
Author(s):  
Pascal Edouard ◽  
Kathrin Steffen ◽  
Laurent Navarro ◽  
Mohammad Ali Mansournia ◽  
Rasmus Oestergaard Nielsen

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