Back

Long-term cognitive recovery after out-of-hospital cardiac arrest: Insights into improvement over six months and the role of arrest duration

Brouer, J. A. E.; Oestergaard, L. G.; Eiskjaer, H.; Bro-Jeppesen, J.; Kristensen, L. Q.

2025-03-31 nursing
10.1101/2025.03.28.25324863 medRxiv
Show abstract

BackgroundOut-of-hospital cardiac arrest (OHCA) is a significant cause of mortality and morbidity worldwide. While resuscitation advancements have increased survival, many survivors suffer cognitive impairments that affect their quality of life. Most research has focussed on neurological outcomes, while little attention has been paid to cognitive function. AimTo investigate the proportion of cognitive impairment in OHCA survivors at discharge and six months after cardiac arrest and to investigate the association between the duration of cardiac arrest and level of cognitive function. MethodsIn this prospective cohort study, 184 OHCA survivors were assessed using the Montreal Cognitive Assessment (MoCA) screening tool. Duration of cardiac arrest was defined by no-flow, low-flow and time to return of spontaneous circulation (ROSC). Multiple logistic regression analysis provided odds ratios (OR) and confidence intervals (CI). ResultsThe study indicates a significant improvement in cognitive function among OHCA survivors from discharge to the six-month follow-up. The proportion of patients with normal cognitive function increased from 26% to 67%, while the number of patients with severe and moderate cognitive impairment decreased. These results suggest a general enhancement in cognitive function over time. No significant association was found between the duration of cardiac arrest and cognitive function, either at discharge or follow-up. ConclusionsCognitive function improved considerably within six months following cardiac arrest, with the proportion of patients exhibiting normal cognitive function increasing from 26% to 67%. This study found no association between the duration of cardiac arrest and cognitive function.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.