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Alcohol and stroke: the splitters win again
BMC Medicine volume 14, Article number: 193 (2016)
Study of the relationships of alcohol drinking and risk of stroke can readily become mired in the labyrinthine interactions of drinking categorizations, non-linear associations, disparate cardiovascular conditions, and the heterogeneous types of stroke. This Commentary discusses the recent article by Larsson et al. (BMC Medicine 14:178, 2016). The authors split their material into separate meta-analyses of subarachnoid hemorrhage, intracerebral hemorrhage, and ischemic stroke, finding disparate alcohol–stroke relationships. Our Commentary pursues the disparity theme, using the lumpers versus splitters paradigm to explore several aspects of this complex area.
Please see related article: http://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-016-0721-4.
Lumpers and splitters, terms first used by Charles Darwin in 1857 , can become opposing factions in any field when there is need to create classifications and assign examples to them . While “lumpers” assign broad categories based on similarities and patterns, “splitters” see important distinctions that have meaningful consequences. The importance of splitting when classifying clinical medical conditions by etiology, severity, or targeted therapy is familiar to health practitioners. Epidemiologists face analogous issues when studying exposures or categorizing covariates, e.g., is the role of cigarette smoking properly examined by looking at “current smokers” versus others, or is it better to split smokers into groups characterized by intensity, duration, and type of cigarette?
Until recent decades, studies of alcohol drinking and health were usually either limited to heavy drinkers or lumped all drinkers together. The possibility of benefit from lighter drinking was raised in 1926 by Pearl’s study of tuberculosis patients , where “heavy/steady” drinkers had the highest mortality, followed by “abstainers”, and finally by “moderate” drinkers. Most recent studies confirm this relation to total mortality , with the lowered risk in lighter drinkers due preponderantly to a lower coronary artery disease (CAD) risk, an association not reported until 1974 . Pearl’s major contribution was to realize the fallacy in comparing all drinkers to abstainers. Such comparison masks differences between heavy and light/moderate drinkers, either spuriously increasing the apparent risks of lighter drinking or masking the lower risk. His words were memorable, ‘one cannot judge the role of diet by starvation or excess.’
Almost all contemporary studies separate light/moderate from heavy drinkers. In determining thresholds for harmful alcohol effects, however, under-reporting of intake creates lumping by placing some heavy drinkers in the light/moderate categories. Since under-reporting is difficult to ascertain, one must conclude that many thresholds for harmful alcohol effects are higher than appears to be the case .
The alcohol epidemiology literature has included much debate about whether the optimal referent group should be lifelong abstainers, very light drinkers, or “occasional” drinkers. One point of universal agreement is that use of all abstainers, a group that includes persons that quit drinking because of illness or symptoms (“sick quitters”), might produce data spuriously showing benefit from light/moderate alcohol drinking.
Much interest has arisen about the health effects of non-alcoholic ingredients in beverages, especially phenolic compounds with anti-oxidant properties most abundant in red wines. Efforts to split all drinkers into drinkers of wine, beer, and spirits have run into problems related to overlapping categories and confounding by disparate user traits between persons that drink preponderantly one beverage type.
Alcohol and cardiovascular conditions
Heavy drinking is associated with increased risk of dilated cardiomyopathy, systemic hypertension, and atrial fibrillation (AF) . Lighter drinking has little or no association with these conditions but carries lower risk of CAD, the most common cardiovascular condition. These conditions not only interact with each other but also with the different types of stroke (Table 1). An example of the complexity represented is AF. This common rhythm disturbance can be a consequence of cardiomyopathy, systemic hypertension, CAD, or other types of heart disease. It can also occur as a direct consequence of heavy alcohol drinking, especially binges (the “Holiday Heart” phenomenon), as a complication of certain non-cardiovascular conditions, or with no evident underlying basis. Stroke from cerebral emboli is the most-feared complication. Thus, usual AF treatment includes anticoagulant therapy, which, in turn, increases risk of cerebral hemorrhage. Performance of a comprehensive analysis of relationships of alcohol drinking to AF needs to split subjects with AF into multiple categories.
Alcohol and stroke
Stroke is a heterogeneous group of conditions consequent to brain hemorrhage (hemorrhagic stroke; HS) of two types, subarachnoid and intracerebral hemorrhage or ischemic infarction (IS). IS can result from thrombosis in atherosclerotic lesions in large intra-cranial or extracranial blood vessels, embolism from the aorta, carotid vessels, or heart, or atheromatous blockage of small vessels (lacunar infarcts); some are of unclear cause. Risk factors for the different types vary and there are important racial/ethnic disparities. Table 2 presents an attempt to show some of the interactions with alcohol drinking; the intent is primarily to demonstrate how Byzantine this area becomes and why it has been called a “labyrinth” .
A new alcohol–stroke meta-analysis involves lumping and splitting
Alcohol epidemiology is slowly maturing. A fine example is afforded by the report of Larsson et al. in BMC Medicine . The report presents a meta-analysis of prospective studies that examine alcohol associations with the various stroke types. While meta-analysis is usually a lumping process that can mask disparities, it is noteworthy that these investigators perceived the need to split the material into separate meta-analyses of subarachnoid hemorrhage, intra-cerebral hemorrhage, and IS. A laudable attempt to study subtypes of IS did not uncover enough data for proper assessment. Study of geographical strata suggested less alcohol association with stroke types in Asian countries; thus, Asian/White differences in alcohol–stroke associations appears to be a potentially fruitful area for further investigation. The article highlights the potential effect of under-reporting upon thresholds. A very nice feature of the presentation is stratification upon three referent groups, namely never drinkers, current non-drinkers, and occasional drinkers; among these, there was little disparity for major results. The main findings, lower risk among light/moderate drinkers for IS and increased risk among heavy drinkers for both HS and IS are compatible with most previous reports [9–14]. The presence of these important disparities is appropriately trumpeted in the title and throughout the article; this emphasis is an important contribution.
Future directions in alcohol–stroke research
Among future needs are more examination of racial/ethnic differences, IS subgroup disparities, beverage choice differences, alcohol–drug interactions, and genetic factors. Alcohol effects upon severity of stroke, mortality of the event, and post-stroke disability are needed. The relationship of alcohol to incidence and sequelae of transient ischemic attacks, which could be considered threatened or incomplete strokes, should be investigated, and could even be the subject of a randomized controlled trial of light drinking. Data about stroke will possibly ensue from trials of light/moderate drinking and CAD risk.
Public health implications and conclusion
Public health advice affords at least one victory for lumpers. It is hardly a new thought, but all heavy drinkers would reduce stroke risk, and many other risks, by quitting or lowering intake. For abstainers and light/moderate drinkers specific risk categories could be created, but advice about the wisdom of drinking needs to be individualized and based upon each person’s risk/benefit equation. If each person becomes a category, this is perhaps the splitters’ ultimate triumph.
Coronary artery disease
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None needed – no new data reported.
The manuscript was conceived by ALK and prepared and reviewed in collaboration with HNT. Both authors read and approved the final manuscript.
ALK practiced cardiology at the Northern California Oakland Medical Center from 1961 to 1999, where he was Chief of Cardiology from 1978 to 1994. He had a parallel career as an epidemiologist and since the late 1960s he has been involved in studies of relations between alcoholic beverages and health. He has written and lectured extensively on this topic. His 1974 Annals of Internal Medicine article “Alcohol consumption before myocardial infarction” was cited by the National Institutes of Health as one the “seminal” articles in alcohol research. His 1977 New England Journal of Medicine article “Alcohol and Blood Pressure” was one of the first reports of higher blood pressure in heavier drinkers. Since his formal retirement in 1999 he has donated his time spent in continuing his research.
HNT studied medicine at the Heinrich Heine University in Dusseldorf, Germany, where she completed her doctorate thesis on the ultrastructure of cell contacts of fetal and adult Leydig cells in the rat in 2008. After relocating to California, USA, and meeting ALK in 2010, her research focus shifted to epidemiology, mainly Asian American disparities as well as pulmonary diseases. She is a practicing internal medicine physician in the Department of Adult and Family Medicine at Kaiser Permanente in Oakland, CA, and the Co-Director for the Internal Medicine Residency Quality Improvement.
The authors declare that they have no competing interests.
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Klatsky, A.L., Tran, H.N. Alcohol and stroke: the splitters win again. BMC Med 14, 193 (2016). https://doi.org/10.1186/s12916-016-0750-z
- Hemorrhagic stroke
- Ischemic stroke
- Alcohol drinking
- Risk factors
- Non-linear curves