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Patient-specific recovery patterns over time measured by dependence in activities of daily living after stroke and post-stroke care: The South London Stroke Register (SLSR)

  • University of Bristol
  • GSTT Guy's and St Thomas' NHS Foundation Trust

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

Background and purpose.: Data on patient-specific recovery after stroke are lacking and the effects of complex healthcare interventions on the course of recovery were not reported. To quantify the recovery pattern up to 1 year post-stroke and assess effects of evidence-based treatments on the patient-specific course of recovery allowing its prediction. Methods. A total of 355 patients after first-ever stroke from the population-based South London Stroke Register (source population > 270 000) participated in a substudy between August 2002 and October 2004. At 1, 2, 3, 4, 6, 8, 12, 26, and 52 weeks post-stroke, Barthel Index (BI; ranging from 0 to 20) was documented. Multilevel growth models allowing predictions for patients with specific characteristics were calculated. Results: Mean age was 70 years, 48% were male and 23% died within the first year. The age-, gender- and stroke subtype-adjusted BI curve sharply increased until week 8 to 24 depending on patient characteristics and subsequently plateaued. Multivariable analysis identified stroke unit care, appropriate secondary prevention and physiotherapy for those with disabilities as independent predictors of improved functional ability over time (P <0.05). Patients receiving stroke unit care additionally gained 4 BI points within 6 months compared with their counterparts (P = 0.004). Conclusions: Functional outcome in the general population showed an increase followed by a plateau. Care parameters reflecting guideline treatment independently improved recovery illustrating the beneficial effects of evidence-based interventions on recovery in an unbiased population.
Original languageEnglish
Pages (from-to)219 - 225
Number of pages7
JournalEuropean Journal of Neurology
Volume17
Issue number2
DOIs
Publication statusPublished - Feb 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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