重新考虑预防房颤的性别酒精指南:警惕过早的政策改变

IF 1.7 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Brijesh Sathian, Javed Iqbal, Syed Muhammad Ali
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引用次数: 0

摘要

值得祝贺的是Matsunaga-Lee等人使用了一个大型住院队列来调查男性和女性饮酒与房颤风险之间的关系。他们的研究结果,尤其是男性缺乏保护性的低剂量阈值,发人深省,并对目前指南中提出的针对性别的饮酒限制提出了质疑。在为公共卫生政策确定结论之前,需要解决一些方法问题。首先,横截面设计本质上限制了因果推理。与偶发性房颤相比,它普遍存在生存偏差和反向因果关系。房颤患者在确诊后可能会减少饮酒量,导致暴露程度的错误分类,这是生活方式-疾病流行病学中公认的局限性。其次,单独使用住院患者样本会产生选择偏差问题。入院人群在合并症概况、健康行为和社会经济地位方面与社区样本存在系统性差异。这些差异可能与性别和酒精使用相互作用,并扭曲观察到的关系。第三,缺乏饮料类型的信息是一个很大的限制。先前的研究已经建立了特定饮料的关系,即使在相同的乙醇剂量下,AF啤酒和烈酒也倾向于显示出比葡萄酒更大的风险[4,5]。考虑到日本和西方人群在饮料选择上的性别差异,如果不调整饮料类型,就有可能混淆表面上的性别互动。第四,即使作者考虑了重要的临床协变量,残留混淆仍然是可能的。重要的协变量如吸烟、身体活动、社会经济地位和生物标志物(如NT-proBNP、CRP)均不可用。如果没有这些证据,就很难排除男性低水平饮酒与房颤之间存在关联的其他解释。最后,该分析似乎将观察到的性别相互作用解释为两性之间和谐的酒精限制≤20克/天的证据。尽管这是一个有趣的假设,但基于这项研究的设计和在自我报告的酒精消费量中按性别区分错误分类的可能性,这还为时过早。在更新国家指南之前,需要进行前瞻性的、基于人群的研究,并采用重复的、经过验证的暴露措施来支持这些趋势。未来的研究应该检查饮料类型,以确定某些饮料是否与两性的房颤风险不成比例地相关,并进行跨国比较,以捕捉文化和基因差异。这些方法将为改进针对性别的指导方针提供更有力的证据。总之,Matsunaga-Lee等人提供了有用的数据,但设计、抽样和暴露特征的限制缓和了因果推断的质量。这篇论文应该被认为是假设的产生,而不是实践的改变,未来的研究解决这些局限性将是重要的,为性别特异性房颤预防策略的制定提供信息。AI内容声明:本文并非由AI工具生成。虽然使用了人工智能来增强内容的专业性和可读性,但它并没有被广泛使用到作品似乎是人工智能生成的程度。主要内容、分析和结论是作者原创工作的结果。作者没有什么可报告的。作者声明无利益冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconsidering Sex-Specific Alcohol Guidelines for Atrial Fibrillation Prevention: Caution Against Premature Policy Change

Matsunaga-Lee et al. are to be congratulated on the use of a large inpatient cohort to investigate the association between alcohol consumption and atrial fibrillation risk in men and women. Their results, especially the lack of a protective low-dose threshold in men, are thought-provoking and call into question the sex-specific drinking limits suggested by present guidelines. A number of methodological issues need to be addressed before conclusions can be firmly drawn for public health policy [1].

First, the cross-sectional design limits causal inference by nature. Prevalent compared to incident AF, it introduces survival bias and reverse causation. AF patients might reduce alcohol consumption following diagnosis, causing misclassification of exposure, a well-recognized limitation in lifestyle-disease epidemiology [2].

Second, the sole use of an inpatient sample creates issues with selection bias. Populations admitted to hospital settings are systematically different from community samples regarding comorbidity profiles, health behavior, and socioeconomic status [3]. These differences may interact with both sex and alcohol use and skew observed relationships.

Third, the lack of beverage-type information is a substantial limitation. Previous studies have established beverage-specific relationships, with AF beer and spirits tending to show greater risk than wine even at similar ethanol doses [4, 5]. Given the sex-related differences in beverage choice reported in Japanese and Western cohorts, failure to adjust for beverage type has the potential to confound the seeming sex interaction.

Fourth, even though the authors accounted for important clinical covariates, residual confounding is still possible. Important covariates like smoking, physical activity, socioeconomic status, and biomarkers (e.g., NT-proBNP, CRP) were not available. Without them, it is not easy to rule out other explanations for the observed association between low-level alcohol consumption and AF in men.

Lastly, the analysis seems to interpret the observed sex interaction as evidence of harmonious alcohol limits between the sexes at ≤ 20 g/day. Although this is an interesting hypothesis, it is too early on the basis of the study's design and the potential for differential misclassification by sex in self-reported alcohol consumption [6]. Prospective, population-based research with repeated, validated exposure measures is required to support these trends prior to updating national guidelines. Future studies should examine beverage types to determine whether some drinks are disproportionately linked to AF risk in both sexes, as well as cross-national comparisons to capture cultural and genetic variations. Stronger evidence for improving sex-specific guidelines would come from such methods.

In conclusion, Matsunaga-Lee et al. offer useful data, but the design, sampling, and exposure characterization limitations moderate the quality of the causal inferences. The paper should be considered hypothesis-generating and not practice-changing, and future studies addressing these limitations will be important to inform sex-specific AF prevention strategy development.

Declaration of AI Content: This article was not generated by AI tools. While AI was utilized to enhance the professionalism and readability of the content, it was not used extensively to the extent that the work appears AI-generated. The primary content, analysis, and conclusions are the result of the authors' original work.

The authors have nothing to report.

The authors declare no conflicts of interest.

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来源期刊
Journal of Arrhythmia
Journal of Arrhythmia CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
2.90
自引率
10.00%
发文量
127
审稿时长
45 weeks
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