BACKGROUND AND OBJECTIVES: There is uncertainty about the association between alcohol consumption and stroke, particularly for low-moderate intake. We explored these associations in a large international study. METHODS: INTERSTROKE, a case-control study, is the largest international study of risk factors for acute stroke. Alcohol consumption was self-reported and categorized by drinks/week as low (1-7), moderate (7-14 for females and 7-21 for males), or high (>14 for females and >21 for males).
Heavy episodic drinking (HED) was defined as >5 drinks on >/=1 day per month. Multivariable conditional logistic regression was used to determine associations. RESULTS: We included 12,913 cases and 12,935 controls; 25.0% (n = 6,449) were current drinkers, 16.7% (n = 4,318) former drinkers, and 58.3% (n = 15,076) never drinkers. Current drinkers were younger, male, smokers, active, and with higher-paid occupations. Current drinking was associated with all stroke (OR 1.14; 95% CI 1.04-1.26) and intracerebral hemorrhage (ICH) (OR 1.50, 95% CI 1.21-1.84) but not ischemic stroke (OR 1.06; 95% CI 0.95-1.19).
HED pattern was associated with all stroke (OR 1.39; 95% CI 1.21-1.59), ischemic stroke (OR 1.29; 95% CI 1.10-1.51), and ICH (OR 1.76; 95% CI 1.31-2.36). High level of alcohol intake was consistently associated with all stroke, ischemic stroke, and ICH. Moderate intake was associated with all stroke and ICH but not ischemic stroke. Low alcohol intake was not associated with stroke overall, but there were regional differences; low intake was associated with reduced odds of stroke in Western Europe/North America (OR 0.66; 95% CI 0.45-0.96) and increased odds in India (OR 2.18; 95% CI 1.42-3.36) (p-interaction 0.037). Wine consumption was associated with reduced odds of all stroke and ischemic stroke but not ICH. The magnitudes of association were greatest in those without hypertension and current smokers.
DISCUSSION: High and moderate intake were associated with increased odds of stroke, whereas low intake was not associated with stroke. However, there were important regional variations, which may relate to differences in population characteristics of alcohol consumers, types or patterns of consumption.
INTRODUCTION: Chronic pain represents a global health problem with a considerable economic burden. The relation of alcohol intake and chronic pain conditions was assessed in several studies with conflicting results. We used dose-response meta-analysis techniques to answer the question of whether alcohol intake is related to chronic pain occurrence.
METHODS: We searched MEDLINE, Embase, and other databases to identify cohort and case-control studies on alcohol consumption and chronic pain. Sixteen studies were eligible with a total population of 642 587 individuals. Fixed-effects and random-effects pooled estimates were obtained by weighting log odds ratios (ORs) in case-control studies and log incidence rate ratios in cohort studies by the inverse of their variance. A heterogeneity assessment and a dose-response analysis were carried out. Quality scoring was also performed.
RESULTS: Our results show that any alcohol consumption was related to lower odds of chronic pain (pooled OR=0.76; 95% confidence interval [CI], 0.61-0.95). The association was non-linear. The ORs by quartile of alcohol doses were as follows: OR2nd quartile=0.74; 95% CI, 0.64-0.87; OR3rd quartile=0.67; 95% CI, 0.53-0.86; and OR4th quartile=0.75; 95% CI, 0.50-1.14. This association was observed for cohort studies (OR=0.77; 95% CI, 0.61-0.98) and European studies (OR=0.65; 95% CI, 0.48-0.87) only. Studies with complete adjustment for confounding factors showed a stronger relation than those with incomplete adjustment (OR=0.69; 95% CI, 0.48-0.99 and OR=0.85; 95% CI, 0.65-1.11, respectively).
CONCLUSION: Alcohol consumption presents a non-linear inverse association with the occurrence of chronic pain. Although plausible mechanisms could explain this protective effect, other explanations, including reverse causation, are probable.
INTRODUCTION: Chronic pain represents a global health problem with a considerable economic burden. The relation of alcohol intake and chronic pain conditions was assessed in several studies with conflicting results. We used dose-response meta-analysis techniques to answer the question of whether alcohol intake is related to chronic pain occurrence.
METHODS: We searched MEDLINE, Embase, and other databases to identify cohort and case-control studies on alcohol consumption and chronic pain. Sixteen studies were eligible with a total population of 642 587 individuals. Fixed-effects and random-effects pooled estimates were obtained by weighting log odds ratios (ORs) in case-control studies and log incidence rate ratios in cohort studies by the inverse of their variance. A heterogeneity assessment and a dose-response analysis were carried out. Quality scoring was also performed.
RESULTS: Our results show that any alcohol consumption was related to lower odds of chronic pain (pooled OR=0.76; 95% confidence interval [CI], 0.61-0.95). The association was non-linear. The ORs by quartile of alcohol doses were as follows: OR2nd quartile=0.74; 95% CI, 0.64-0.87; OR3rd quartile=0.67; 95% CI, 0.53-0.86; and OR4th quartile=0.75; 95% CI, 0.50-1.14. This association was observed for cohort studies (OR=0.77; 95% CI, 0.61-0.98) and European studies (OR=0.65; 95% CI, 0.48-0.87) only. Studies with complete adjustment for confounding factors showed a stronger relation than those with incomplete adjustment (OR=0.69; 95% CI, 0.48-0.99 and OR=0.85; 95% CI, 0.65-1.11, respectively).
CONCLUSION: Alcohol consumption presents a non-linear inverse association with the occurrence of chronic pain. Although plausible mechanisms could explain this protective effect, other explanations, including reverse causation, are probable.
BACKGROUND & AIMS: Only a minority of excess alcohol drinkers develop cirrhosis. We developed and evaluated risk stratification scores to identify those at highest risk.
METHODS: Three cohorts (GenomALC-1: n = 1,690, GenomALC-2: n = 3,037, UK Biobank: relevant n = 6,898) with a history of heavy alcohol consumption (>/=80 g/day (men), >/=50 g/day (women), for >/=10 years) were included. Cases were participants with alcohol-related cirrhosis. Controls had a history of similar alcohol consumption but no evidence of liver disease. Risk scores were computed from up to 8 genetic loci identified previously as associated with alcohol-related cirrhosis and 3 clinical risk factors. Score performance for the stratification of alcohol-related cirrhosis risk was assessed and compared across the alcohol-related liver disease spectrum, including hepatocellular carcinoma (HCC).
RESULTS: A combination of 3 single nucleotide polymorphisms (SNPs) (PNPLA3:rs738409, SUGP1-TM6SF2:rs10401969, HSD17B13:rs6834314) and diabetes status best discriminated cirrhosis risk. The odds ratios (ORs) and (95% CIs) between the lowest (Q1) and highest (Q5) score quintiles of the 3-SNP score, based on independent allelic effect size estimates, were 5.99 (4.18-8.60) (GenomALC-1), 2.81 (2.03-3.89) (GenomALC-2), and 3.10 (2.32-4.14) (UK Biobank). Patients with diabetes and high risk scores had ORs of 14.7 (7.69-28.1) (GenomALC-1) and 17.1 (11.3-25.7) (UK Biobank) compared to those without diabetes and with low risk scores. Patients with cirrhosis and HCC had significantly higher mean risk scores than patients with cirrhosis alone (0.76 +/- 0.06 vs. 0.61 +/- 0.02, p = 0.007). Score performance was not significantly enhanced by information on additional genetic risk variants, body mass index or coffee consumption.
CONCLUSIONS: A risk score based on 3 genetic risk variants and diabetes status enables the stratification of heavy drinkers based on their risk of cirrhosis, allowing for the provision of earlier preventative interventions.
LAY SUMMARY: Excessive chronic drinking leads to cirrhosis in some people, but so far there is no way to identify those at high risk of developing this debilitating disease. We developed a genetic risk score that can identify patients at high risk. The risk of cirrhosis is increased >10-fold with just two risk factors - diabetes and a high genetic risk score. Risk assessment using this test could enable the early and personalised management of this disease in high-risk patients.