Time SCA Occurs is Changing
How the time of SCA has shifted and the potential impact on survivability.
Could shifts in the time at which SCA occurs actually lead to more lives saved?
Sudden Cardiac Arrest (SCA) has long been viewed as a lethal medical condition most likely to occur in the morning and, more specifically, on Mondays.
According to a recent CNN article: “The dogma — in fact, this is everywhere, in all the textbooks about sudden cardiac arrest — [is that] the most common time period for people to have a sudden cardiac arrest is early in the morning,” said Dr. Sumeet Chugh, one of the authors of the study published in the journal Heart Rhythm.
Chugh et. al performed a contemporary evaluation of SCA data from the general population in a Northwestern US community of approximately 1 million people over a 12-year period, from 2002-2014.
The reported incidences of SCA occurred at the following times:
(Graph shows time of day that SCA occurs based on Dr. Chugh study)
The authors attempt to explain the change in data by citing improved reporting accuracy, treatment changes, such as new medications that could be affecting the time of SCA, and a “shift to a more 24/7 culture.”
“Our hypothesis is that in the last decade or two decades, we’ve really changed the way that we behave as human beings. We’ve changed the way that we work. We are constantly wired,” Chugh said. “I would call it an ‘always on’ existence. A lot of people are working all the time, or they’re tied to, or tethered to, a smartphone, almost every instant of the day, sometimes at night.”
Could this change be positive?
Given that the data are shifting from peaks in the morning to more evenly distributed SCA incidents throughout the day, it’s logical to assume that more SCAs are occurring during work, school, or other hours in which potential victims are in a public setting. If so, presumably there would be more bystanders available during these windows of time than at night or early mornings and, thus, the chain-of-survival can begin sooner than in prior periods.