Cargando…

Long-Term Outcomes of Acute Ischemic Stroke in Patients Aged 80 Years and Older

PURPOSE: Short life expectancy influences decision-making when treating very old patients with acute ischemic stroke (AIS). We investigated mortality and survival duration in very old AIS patients (≥ 80 years) who received hospital care. PATIENTS AND METHODS: Mortality data were obtained from medica...

Descripción completa

Detalles Bibliográficos
Autores principales: Minn, Yang-Ki, Cho, Soo-Jin, Kim, Seon-Gyeong, Kwon, Ki-Han, Kim, Jin-Hyuck, Oh, Mi-Sun, Chu, Min-Kyung, Lee, Ju-Hun, Hwang, Sung Hee, Lee, Byung-Chul
Formato: Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2615344/
https://www.ncbi.nlm.nih.gov/pubmed/18581588
http://dx.doi.org/10.3349/ymj.2008.49.3.400
Descripción
Sumario:PURPOSE: Short life expectancy influences decision-making when treating very old patients with acute ischemic stroke (AIS). We investigated mortality and survival duration in very old AIS patients (≥ 80 years) who received hospital care. PATIENTS AND METHODS: Mortality data were obtained from medical records, structured telephone inquiries, death certificates from the Korean National Statistical Office, and social security data 5 ± 1.9 years after stroke onset. Age, gender, vascular risk factors, and functional outcomes from modified Rankin scales (MRS) at discharge were analyzed as predictors of mortality. RESULTS: Among 134 patients, 92 (68.7%) died. On Kaplan-Meier analysis, duration of survival of patients aged 80 - 84 years was longer than those aged 85 - 89 or 90 - 94 (24 ± 6.4, 8 ± 7.3, 7 ± 2.0 months, respectively, p = 0.002). Duration of survival of patients discharged in a state of MRS 0 - 1 was longer than the remaining groups at 47 ± 4.8 months (p < 0.001). In Cox proportional hazard analysis, age and MRS at discharge were independent predictors of mortality. CONCLUSION: Long-term outcomes of very old patients with AIS are not uniformly grave, therefore predictors of mortality and estimated duration of survival should be considered during decision- making for treatment.