Benefits of influenza vaccine on stroke beyond preventing infection: Paradigm change or sheer bias?
Bibliographic record
Abstract
In 2006, the American Heart Association and American College of Cardiology jointly recommended annual vaccination against influenza for patients with coronary artery disease to prevent recurrent cardiovascular events [1]. Those recommendations were based on a single randomized clinical trial [2] and observational studies. Subsequent observational studies, trials, and meta-analyses—while not unanimous—have provided further supportive evidence that influenza vaccination prevents recurrent events in patients with coronary artery disease. In a meta-analysis of eight trials (n = 14,420 patients), influenza vaccination, compared with standard care, led to a 25% lower risk of major adverse cardiovascular events [3]. This risk reduction is comparable to that of other standard preventive therapies, such as statins and smoking cessation [3]. By 2020, the European Society of Cardiology also endorsed influenza vaccination to prevent recurrent cardiovascular events in patients with coronary artery disease [4]. Although these recommendations applied to patients with cardiovascular disease, clinical practice guidelines have remained relatively silent about the potential role of influenza vaccination to prevent recurrent stroke. The 2014 American Stroke Association (ASA) guidelines for the primary prevention of stroke, for example, give only a Class IIa recommendation for influenza vaccination [5], and the 2021 ASA secondary stroke prevention guidelines do not mention influenza vaccination at all [6]. A growing body of literature provides evidence, nonetheless, that seasonal influenza may transiently increase the risk of ischemic stroke. [7, 8] Thromboinflammation, a procoagulant state driven by inflammatory response to influenza and other viruses, is a likely mechanism for this increased risk [9]. Endothelial dysfunction and atherosclerotic plaque instability may also play a role. If influenza can trigger stroke, however, then vaccination against influenza would be expected to reduce stroke risk. Indeed, a recent meta-analysis of 26 trials and observational studies found that influenza vaccination was associated with an approximate 20% reduction in risk [10], though further studies, including randomized trials, testing efficacy of vaccination for stroke prevention are warranted. One concern of influenza vaccination, however, is that vaccination may itself transiently increase inflammation, potentially increasing short-term stroke risk, even as it reduces long-term risk. Vaccination, in other words, could serve as a stroke trigger despite long-term benefits. A study by Tanaka and colleagues in this issue of the European Journal of Neurology, however, lays this concern to rest [11]. The investigators conducted a large-scale administrative database study in Alberta, Canada, using health insurance data on all adults in the province, covering the period from September 2009 to December 2018. They explored the risk of stroke during time windows of 3, 7, 14, 21, and 30 days after recorded vaccination against influenza, and analyses were adjusted for demographics and common stroke risk factors. The population at risk was large: among 4,141,209 adults, approximately 43% (nearly 1.8 million persons) received at least one annual vaccination. There were 38,126 strokes, of which 1309 occurred within 30 days of vaccination. The risk of stroke was significantly reduced after vaccination for each time window, including 3 days. The authors concluded that influenza vaccination reduces stroke risk at all timepoints. The results are reassuring that influenza vaccination is unlikely to cause short-term increased risk of stroke. Strengths of the analysis are the large number of people in the source database and the availability of data on vaccination and several demographic and clinical risk factors. There are limitations, as well, however. While the overall number of vaccinated individuals was large, the numbers of those with stroke and vaccination within each time window, which drives the associations, are smaller. Time windows explored, moreover, were not mutually exclusive: the window of 7 days, for example, overlaps the 3-day window, impeding a precise assessment of temporal effects. Also, the potential confounders considered excluded smoking, body mass index, and use of antiplatelets or statins, leaving room for residual confounding. Another interesting outcome of the results is that potential benefit on stroke prevention occurred well before an immune response against infection takes place, usually established as 10–14 days, excluding the possibility that the early reduced risk observed can be explained by prevention of influenza infection itself and pointing, perhaps, to a direct effect of vaccination on the pathophysiology of acute atherothrombosis. Others [8] have also observed similar early effects of influenza vaccination against stroke and myocardial infarction in a self-controlled case series study, a design that adjusts for factors that do not rapidly change over time. A possible direct effect of influenza vaccination was also suggested by Rodríguez-Martín et al. [12], in a nested case–control study utilizing a nationally representative primary care database from Spain that analyzed the relationship of influenza vaccination and ischemic stroke during pre-epidemic, epidemic, and post-epidemic periods over 15 influenza seasons (2002–2015). They observed a moderate protective effect of influenza vaccine on incident ischemic stroke after adjusting for potential confounders during the epidemic periods (as expected), but also during pre- and post-epidemic periods, providing indirect evidence that the mechanism of benefit might be a more general immune-related effect rather than one specific to influenza itself. All these studies, however, are observational in nature, and bias can be a plausible explanation of the "benefits" of influenza vaccination. In real-life conditions, those who undergo vaccination may be healthier or have healthier habits than those who do not. Also, fragile patients and those at higher risk of atherothrombotic events might defer vaccination because of other illness. These phenomena may create a scenario whereby vaccinated patients are at baseline lower risk of suffering stroke than unvaccinated patients, leading to apparent protective effects. Future studies should elucidate whether influenza vaccination has a direct effect beyond prevention of infection itself. The possibility of a randomized clinical trial in patients at high risk of stroke, similar to those in coronary disease [2], should be considered. The results from Alberta, meanwhile, provide further evidence that vaccination rates are low overall. Only about 43% of people in the region received the vaccine, a proportion similar to that in Spain. Recent concerns, including disinformation efforts about adverse vaccine effects since the coronavirus pandemic, could further reduce these numbers. These data could therefore be used to further encourage clinicians to recommend influenza vaccination to high-risk populations; the potential benefits of influenza vaccination on stroke risk—and the absence of a short-term risk—only make that message more urgent. Mitchell S. V. Elkind: Conceptualization; writing – original draft; writing – review and editing; investigation. Francisco J. de Abajo: Writing – review and editing; investigation; conceptualization. F.J.A. reports receiving an unrestricted research grant from Sanofi-Pasteur for work on influenza and myocardial infarction. M.S.V.E. has no disclosures. Data sharing is not applicable to this article as no new data were created or analyzed in this study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.337 | 0.513 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".