Impact of a high-profile sudden cardiac death on emergency department utilization: a multi-campus interrupted time series and exploratory phenotyping study.
Wang C, Cai H, et al. • BMC emergency medicine • 2026
Following a high-profile sudden cardiac death of a nationally prominent public figure, daily ED volume exhibited a significant immediate level shift predominantly among younger, low-risk individuals exhibiting reassurance-seeking behavior, without a corresponding increase in mortality or acute myocardial infarction diagnoses.
Key Findings
Results
A high-profile sudden cardiac death event was associated with a significant immediate increase in daily emergency department volume at both study sites.
The main cohort showed a +24.4% immediate level shift in daily ED visits following the event.
The internal validation cohort showed a +34.7% immediate level shift (p < 0.001).
Findings were confirmed using an internal validation cohort.
Interrupted time series (ITS) analysis was used to estimate the immediate level shift in daily ED visits.
Results
A statistically significant demographic shift toward younger populations was observed in ED visits following the high-profile SCD event.
Median age of ED visitors decreased by 2.2 years following the event (p < 0.001).
The shift was described as 'subtle but robust.'
The study was conducted across two major hospital cohorts with a total of N = 15,981 patients.
This demographic shift was identified via retrospective analysis of the combined cohorts.
Results
Machine learning analysis identified Age, Nighttime Presentation, and Cardiovascular Department attendance as the features most strongly associated with the surge phenotype.
An XGBoost model with SHAP (SHapley Additive exPlanations) interpretability was developed as an exploratory phenotyping tool.
SHAP dependence analysis revealed a sharp, non-linear escalation in surge probability for individuals aged < 45 years.
The elevated surge probability was particularly pronounced during nocturnal hours for individuals under 45.
These features were characterized based on clinical and behavioral data.
Results
Despite the volume surge, no significant increase in mortality or acute myocardial infarction diagnoses was observed following the SCD event.
The absence of increased hard endpoints (mortality and AMI diagnoses) indicates the surge was predominantly associated with low-risk individuals.
The pattern is described as consistent with reassurance-seeking behavior.
The authors characterize this as a 'dilution of clinical severity without increasing hard endpoints.'
This finding was consistent across the main and internal validation cohorts.
Discussion
The demographic and behavioral findings of the surge are described as consistent with the cyberchondria phenomenon.
Cyberchondria is proposed as a mechanism by which media-driven health events drive low-risk individuals to seek emergency care.
The surge was 'predominantly among younger, low-risk individuals seeking reassurance.'
The authors suggest this pattern 'may produce a dilution of clinical severity without increasing hard endpoints, potentially straining acute care resources.'
The non-linear escalation in surge probability for individuals aged < 45 years, particularly at night, supports a behavioral rather than clinical driver.
Methods
The study was a retrospective multi-campus analysis using interrupted time series methodology combined with machine learning phenotyping.
Total study population was N = 15,981 across two major hospital cohorts.
ITS analysis was used to estimate immediate level shifts in daily ED visit counts.
An XGBoost model with SHAP interpretability served as an exploratory phenotyping tool.
An internal validation cohort was used to confirm the primary findings.
What This Means
This research suggests that when a well-known public figure dies suddenly from cardiac arrest, it can trigger a large wave of people visiting emergency departments — even people who are not experiencing a true cardiac emergency. Analyzing data from nearly 16,000 patients across two hospitals, the researchers found that daily emergency department visits jumped by roughly 24–35% immediately after such an event. Strikingly, the increase was driven mainly by younger, healthier people (particularly those under 45), and visits were especially common at night. Despite the surge in volume, there was no corresponding rise in serious outcomes like heart attacks or deaths, suggesting most visitors were there out of anxiety and worry rather than genuine medical need.
The researchers used advanced machine learning tools to better understand who was showing up and why. The analysis pointed to age, nighttime presentation, and visiting the heart-related department as the strongest markers of 'surge visitors.' This pattern — young, worried people seeking reassurance after consuming distressing health news — is consistent with what researchers call 'cyberchondria,' where media coverage of health events prompts anxiety-driven healthcare-seeking behavior. The practical concern is that while these visitors may not be seriously ill, their presence in large numbers can strain emergency department resources and potentially delay care for people with genuine emergencies.
This research suggests that hospitals and public health authorities should anticipate these media-driven surges and develop targeted communication strategies to reassure the public, as well as adaptive triage approaches to manage increased demand without compromising care for critically ill patients. Understanding that these surges are behavioral — not driven by a true increase in cardiac disease in the community — could help health systems respond more efficiently and effectively.
Wang C, Cai H, Hu X, Liu J, Li G, Zhang L. (2026). Impact of a high-profile sudden cardiac death on emergency department utilization: a multi-campus interrupted time series and exploratory phenotyping study.. BMC emergency medicine. https://doi.org/10.1186/s12873-026-01723-4