Background: Reliable data on long-term outcomes after cardiac arrest (CA) remain scarce. Identifying factors persistently impacting the quality of life after CA is crucial to improve long-term outcomes.

Methods: Adult in- and out-of-hospital CA patients surviving to hospital discharge between 1996 and 2015 were retrospectively included. We classified survivors in stages of survival time and assessed long-term survival and quality of life by contacting patients via a standardized telephone questionnaire including the modified Rankin Scale (mRS).

Results: Of 4,234 patients, 1,573 (37.2%) survived to hospital discharge. Among those, 693(44.1%) were alive at the time of the interview. We obtained interviews in 178 patients at a survival time of 7.8 (4.2-12.6) years. Younger age, female gender, and shorter duration of initial hospitalization and coma were associated with long-term survival. Conversely, higher median age at time of CA predicted poor outcome (mRS ≥ 3) and impaired quality of daily life. Around 25% declared being impaired in mobility, with female gender and higher age being predictors. Impairment in personal care and hygiene was stated in 11.8%, and activities of daily life such as shopping troubled 33.1%. Chronic pain impairing daily life was reported in 47.2% of cases, and lower socioeconomic status was suggestive of unfavourable outcome.

Conclusion: Very long-term survivors showed considerable impairment of quality of life in terms of reduced mobility, self-care, or chronic pain. Higher age at time of CA and lower socioeconomic status showed worse outcomes. A more personalized screening of survivors for risk factors and long-term support are suggested.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.resuscitation.2022.01.023DOI Listing

Publication Analysis

Top Keywords

daily life
16
quality life
12
long-term survivors
8
cardiac arrest
8
considerable impairment
8
hospital discharge
8
survival time
8
long-term survival
8
female gender
8
age time
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!