RT Journal Article
SR Electronic
T1 Early transition to comfort measures only in acute stroke patients
JF Neurology: Clinical Practice
FD Lippincott Williams & Wilkins
SP 194
OP 204
DO 10.1212/CPJ.0000000000000358
VO 7
IS 3
A1 Prabhakaran, Shyam
A1 Cox, Margueritte
A1 Lytle, Barbara
A1 Schulte, Phillip J.
A1 Xian, Ying
A1 Zahuranec, Darin
A1 Smith, Eric E.
A1 Reeves, Mathew
A1 Fonarow, Gregg C.
A1 Schwamm, Lee H.
YR 2017
UL http://cp.neurology.org/content/7/3/194.abstract
AB Background: Death after acute stroke often occurs after forgoing life-sustaining interventions. We sought to determine the patient and hospital characteristics associated with an early decision to transition to comfort measures only (CMO) after ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) in the Get With The Guidelines–Stroke registry.Methods: We identified patients with IS, ICH, or SAH between November 2009 and September 2013 who met study criteria. Early CMO was defined as the withdrawal of life-sustaining treatments and interventions by hospital day 0 or 1. Using multivariable logistic regression, we identified patient and hospital factors associated with an early (by hospital day 0 or 1) CMO order.Results: Among 963,525 patients from 1,675 hospitals, 54,794 (5.6%) had an early CMO order (IS: 3.0%; ICH: 19.4%; SAH: 13.1%). Early CMO use varied widely by hospital (range 0.6%–37.6% overall) and declined over time (from 6.1% in 2009 to 5.4% in 2013; p < 0.001). In multivariable analysis, older age, female sex, white race, Medicaid and self-pay/no insurance, arrival by ambulance, arrival off-hours, baseline nonambulatory status, and stroke type were independently associated with early CMO use (vs no early CMO). The correlation between hospital-level risk-adjusted mortality and the use of early CMO was stronger for SAH (r = 0.52) and ICH (r = 0.50) than AIS (r = 0.15) patients.Conclusions: Early CMO was utilized in about 5% of stroke patients, being more common in ICH and SAH than IS. Early CMO use varies widely between hospitals and is influenced by patient and hospital characteristics.