Predictors for 5-year survival in a prospective cohort of elderly stroke patients

R. Whiting, Q. Shen, W. T. Hung, D. Cordato, D. K. Y. Chan

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)

    Abstract

    To examine predictors for 5-year survival in elderly stroke patients. Materials and Methods- Prospective cohort study of 186 consecutive acute stroke patients aged ≥65years admitted to Bankstown-Lidcombe Hospital, Australia 03/2002 to 03/2003. All subjects were followed up in 2007/8, at 5 years post-stroke, for outcome measures. Logistic regression analysis was performed to predict 5-year survival using covariables, including functional status, age, stroke type and severity and vascular risk factors. Patients lost to follow-up (n=20) were excluded from the analyses. Results- One hundred patients (60%) were dead at study end. Predictors for survival in final logistic regression model were as follows: Glasgow Coma Scale (GCS) on admission (OR 1.49, 95%CI 1.1-2.0, P=0.01), preadmission functional independence measure (FIM) score (OR 1.04, 95%CI 1.0-1.1, P=0.01), age (OR 0.93, 95%CI 0.87-0.98, P=0.01) and atrial fibrillation (OR 0.43, 95% CI 0.19-0.95, P=0.04). For 5-year survivors, mean Modified Rankin Scale was 3.1±1.5, total FIM score 85±32, mini-mental state examination (MMSE) 22±8 and Hospital Anxiety and Depression (HAD) scores 5.4±3.4 and 5.2±3.9, respectively. FIM cognition score was significantly lower at 5 years when compared to baseline (24±8 vs 29±8, P<0.05) (all scores expressed as mean±SD). In contrast, MMSE, HAD and total FIM scores were not significantly different at 5 years when compared to baseline. Conclusions- The study identified lower GCS on admission, lower preadmission FIM score, age and atrial fibrillation as negative predictors for 5-year survival following stroke.
    Original languageEnglish
    Pages (from-to)309-316
    Number of pages8
    JournalActa Neurologica Scandinavica
    Volume124
    Issue number5
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Dive into the research topics of 'Predictors for 5-year survival in a prospective cohort of elderly stroke patients'. Together they form a unique fingerprint.

    Cite this