Evidence map›Paper›PMID 26855900›Full record

ArticleWorld journal of critical care medicine2016

Prognostic factors associated with hospital survival in comatose survivors of cardiac arrest.

Kushaharan Sathianathan, Ravindranath Tiruvoipati, Sanjiv Vij

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Article in World journal of critical care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Kushaharan SathianathanKushaharan Sathianathan, Critical Care Unit, Latrobe Regional Hospital, Traralgon, VIC 3844, Australia.
Ravindranath TiruvoipatiKushaharan Sathianathan, Critical Care Unit, Latrobe Regional Hospital, Traralgon, VIC 3844, Australia.
Sanjiv VijKushaharan Sathianathan, Critical Care Unit, Latrobe Regional Hospital, Traralgon, VIC 3844, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify patient, cardiac arrest and management factors associated with hospital survival in comatose survivors of cardiac arrest.

methodsA retrospective, single centre study of comatose patients admitted to our intensive care unit (ICU) following cardiac arrest during the twenty year period between 1993 and 2012. This study was deemed by the Human Research Ethics Committee (HREC) of Monash Health to be a quality assurance exercise, and thus did not require submission to the Monash Health HREC (Research Project Application, No. 13290Q). The study population included all patients admitted to our ICU between 1993 and 2012, with a discharge diagnosis including "cardiac arrest". Patients were excluded if they did not have a cardiac arrest prior to ICU admission (i.e., if their primary arrest was during their admission to ICU), or were not comatose on arrival to ICU. Our primary outcome measure was survival to hospital discharge. Secondary outcome measures were ICU and hospital length of stay (LOS), and factors associated with survival to hospital discharge.

resultsFive hundred and eighty-two comatose patients were admitted to our ICU following cardiac arrest, with 35% surviving to hospital discharge. The median ICU and hospital LOS was 3 and 5 d respectively. There was no survival difference between in-hospital and out-of-hospital cardiac arrests. Males made up 62% of our cardiac arrest population, were more likely to have a shockable rhythm (56% vs 37%, P < 0.001), and were more likely to survive to hospital discharge (40% vs 28%, P = 0.006). On univariate analysis, therapeutic hypothermia, regardless of method used (e.g., rapid infusion of ice cold fluids, topical ice, "Arctic Sun", passive rewarming, "Bair Hugger") and location initiated (e.g., pre-hospital, emergency department, intensive care) was associated with increased survival. There was however no difference in survival associated with target temperature, time at target temperature, location of initial cooling, method of initiating cooling, method of maintaining cooling or method of rewarming. Patients that survived were more likely to have a shockable rhythm (P < 0.001), shorter time to return of spontaneous circulation (P < 0.001), receive therapeutic hypothermia (P = 0.03), be of male gender (P = 0.006) and have a lower APACHE II score (P < 0.001). After multivariate analysis, only a shockable initial rhythm (OR = 6.4, 95%CI: 3.95-10.4; P < 0.01) and a shorter time to return of spontaneous circulation (OR = 0.95, 95%CI: 0.93-0.97; P < 0.01) was found to be independently associated with survival to hospital discharge.

conclusionIn comatose survivors of cardiac arrest, shockable rhythm and shorter time to return of spontaneous circulation were independently associated with increased survival to hospital discharge.

Indexed as

ArrhythmiaCardiac arrestHyperthermiaHypothermiaResuscitation

Identifiers

PMID26855900
PMCPMC4733450

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.