Skip to main content

Factors associated with 1-year mortality after discharge for acute stroke: what matters?

Publication ,  Journal Article
Magdon-Ismail, Z; Ledneva, T; Sun, M; Schwamm, LH; Sherman, B; Qian, F; Bettger, JP; Xian, Y; Stein, J
Published in: Top Stroke Rehabil
December 2018

OBJECTIVE: To evaluate factors associated with 1-year mortality after discharge for acute stroke. METHODS: In this retrospective cohort study, we studied 305 patients with ischemic stroke or intracerebral hemorrhage discharged in 2010/2011. We linked Get With The Guidelines®-Stroke clinical data with New York State administrative data and used multivariate regression models to examine variables related to 1-year all-cause mortality poststroke. RESULTS: The mean age was 68.6 ± 14.8 years and 51.1% were women. A total of 146 (47.9%) were discharged directly home, 96 (31.5%) to inpatient rehabilitation facilities (IRFs), and 63 (20.7%) to skilled nursing facilities (SNFs). Overall, 24 (7.9%) patients died within 1-year post-discharge. Older age (adjusted odds ratio [OR] 1.05, 95% confidence interval [CI] 1.00-1.10), higher National Institutes of Health Stroke Scale (NIHSS) on admission (OR 1.10, 95% CI 1.03-1.17), and discharge destination (IRF vs. home, OR 0.10, 95% CI 0.01-0.94; and SNF vs. home, OR 2.22, 95% CI 0.71-6.95) were factors associated with 1-year all-cause mortality. When ambulation status at discharge was added to the model, ambulation with assistance and non-ambulation were significantly associated with mortality (ambulatory with assistance vs. ambulatory, OR 9.42, 95% CI 1.87-47.61; nonambulatory vs. ambulatory, OR 12.65, 95% CI 1.89-84.89). CONCLUSIONS: While age and NIHSS on admission are important predictors of long-term outcomes, factors at discharge - ambulation status at discharge and discharge destination - are associated with 1-year mortality post-discharge for acute stroke and therefore could represent therapeutic targets to improve long-term survival in future studies.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Top Stroke Rehabil

DOI

EISSN

1945-5119

Publication Date

December 2018

Volume

25

Issue

8

Start / End Page

576 / 583

Location

England

Related Subject Headings

  • Walking
  • Stroke Rehabilitation
  • Stroke
  • Statistics, Nonparametric
  • Skilled Nursing Facilities
  • Self Care
  • Rehabilitation
  • Regression Analysis
  • Patient Discharge
  • Middle Aged
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Magdon-Ismail, Z., Ledneva, T., Sun, M., Schwamm, L. H., Sherman, B., Qian, F., … Stein, J. (2018). Factors associated with 1-year mortality after discharge for acute stroke: what matters? Top Stroke Rehabil, 25(8), 576–583. https://doi.org/10.1080/10749357.2018.1499303
Magdon-Ismail, Zainab, Tatiana Ledneva, Mingzeng Sun, Lee H. Schwamm, Barry Sherman, Feng Qian, Janet Prvu Bettger, Ying Xian, and Joel Stein. “Factors associated with 1-year mortality after discharge for acute stroke: what matters?Top Stroke Rehabil 25, no. 8 (December 2018): 576–83. https://doi.org/10.1080/10749357.2018.1499303.
Magdon-Ismail Z, Ledneva T, Sun M, Schwamm LH, Sherman B, Qian F, et al. Factors associated with 1-year mortality after discharge for acute stroke: what matters? Top Stroke Rehabil. 2018 Dec;25(8):576–83.
Magdon-Ismail, Zainab, et al. “Factors associated with 1-year mortality after discharge for acute stroke: what matters?Top Stroke Rehabil, vol. 25, no. 8, Dec. 2018, pp. 576–83. Pubmed, doi:10.1080/10749357.2018.1499303.
Magdon-Ismail Z, Ledneva T, Sun M, Schwamm LH, Sherman B, Qian F, Bettger JP, Xian Y, Stein J. Factors associated with 1-year mortality after discharge for acute stroke: what matters? Top Stroke Rehabil. 2018 Dec;25(8):576–583.

Published In

Top Stroke Rehabil

DOI

EISSN

1945-5119

Publication Date

December 2018

Volume

25

Issue

8

Start / End Page

576 / 583

Location

England

Related Subject Headings

  • Walking
  • Stroke Rehabilitation
  • Stroke
  • Statistics, Nonparametric
  • Skilled Nursing Facilities
  • Self Care
  • Rehabilitation
  • Regression Analysis
  • Patient Discharge
  • Middle Aged