During the COVID-19 pandemic there has been a reduction in hospital admissions for acute myocardial infarction. This manuscript presents the analysis of Google Trends meta-data and shows a marked spike in search volume for chest pain that is strongly correlated with COVID-19 case numbers in the United States. This raises a concern that fear of contracting COVID-19 may be leading patients to self-triage using internet searches. Research Letter. During the COVID-19 pandemic, physicians worldwide have noted reductions in hospital admissions for emergencies including acute myocardial infarction and ischemic stroke. Several explanations have been proposed including reduced air pollution, changes in diet and lifestyle, or, most worryingly, avoidance of hospitals to reduce the risk of COVID-19 infection. There is significant concern that instead of presenting to hospital, fear of COVID-19 has led patients to self-triage using internet searches. Google Trends™ is a free publicly available tool that monitors how often search items are queried over time and provides insights into public health behavior. Recommendations for the documentation of Google Trends™ analyses have previously been published and were consulted to facilitate reproducibility of the present study. We quantified searches in the United States (US) for the symptom of interest, chest pain, and the control terms toothache, abdominal pain, knee pain, heart attack and stroke (time period 1st Jan 2017 to 24th May 2020, accessed 28th May 2020, no quotation marks, no combination symbols, all query categories). Data on the number of COVID-19 cases per day in the US was retrieved from USAFacts.org, which collates data from government agencies and is used by the Centers for Disease Control and Prevention. Time-lag correlation analysis was performed using R. To assess the relationship between chest pain searches and COVID-19 caseload, data on search volume was also collected for the states with the highest and lowest numbers of COVID-19 cases. No extramural funding was used to support this work. The number of cases of COVID-19 in the US rose rapidly throughout March 2020 and during the same month the relative search frequency of the symptom chest pain, but not the control terms, nearly doubled compared to the previous three years (Figure 1A). There was a strong correlation between the number of new COVID-19 cases and Google search queries for chest pain (Pearson correlation coefficient 0.79 with 18-day time-lag) (Figure 1B). The search volume for chest pain also spiked in the states with the three highest (New York, New Jersey, Illinois), but not the three lowest (Hawaii, Montana, Alaska), COVID-19 caseloads (Figure 2). In this analysis we describe a strong correlation between the increase in COVID-19 cases and the utilization of Google for medical information. Chest pain is a common presenting symptom of life-threatening medical conditions including coronary artery disease, aortic dissection and pulmonary embolus, but is not a common symptom of COVID-19. The analysis presented here suggests that the rise in COVID-19 cases has led patients to seek medical information about their symptoms from the internet at substantially higher rates compared to the previous three years. This does not appear to be due to generally increased search volumes nor seasonal variation (Figure 1). Within the US this was observed in states with a high prevalence of COVID-19 but not states with a low prevalence (Figure 2). This was despite all analyzed states instituting stay-at-home orders, which suggests this phenomenon is not related to lockdown restrictions. This raises a significant concern that in regions where caseloads are high, fear of contracting COVID-19 may be leading patients to self-triage, potentially in lieu of presenting to hospital. The rise in search volume for ‘chest pain’ but not ‘heart attack’ or ‘stroke’ may be explained by several hypotheses, including patients being more likely to search for symptoms rather than diagnoses, or it may reflect the reduced hospitalisations for these conditions during the COVID-19 pandemic and hence fewer patients receiving the diagnostic labels ‘heart attack’ and ‘stroke’. Indeed it was recently reported that the rate of catheter laboratory activation for ST-segment elevation myocardial infarction has decreased by 38% in the US compared to the pre-COVID-19 period, and there have been similar reductions in hospital presentations for other life-threatening conditions such as acute aortic dissection. This has been accompanied by a concurrent increase in out-of-hospital cardiac arrests and, amongst patients that did present to hospital with acute myocardial infarction, increased rates of delayed presentation and complications. While COVID-19 has a mortality of approximately 1%, acute myocardial infarction in the absence of contemporary treatment has a one-month mortality of up to 50%. As lockdown regulations begin to relax worldwide there is a significant risk of a second-wave of COVID-19, and so it is critical to re-emphasize to patients that internet searches are not an alternative to professional medical attention.
Copyright © 2020 Elsevier Inc. All rights reserved.

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