Fatigue after Stroke: Baseline Predictors and Influence on Survival. Analysis of Data from UK Patients Recruited in the International Stroke Trial
2011

Fatigue After Stroke: Predictors and Impact on Survival

Sample size: 1080 publication Evidence: moderate

Author Information

Author(s): Gillian E. Mead, Catriona Graham, Paul Dorman, Karsten Bruins Slot, Steff C. Lewis, Martin S. Dennis, Peter A. G. Sandercock

Primary Institution: University of Edinburgh

Hypothesis

What factors at stroke onset predict post-stroke fatigue and its influence on survival?

Conclusion

Fatigue after stroke is associated with increased age, female sex, and lower mental health, and it may reduce long-term survival.

Supporting Evidence

  • Fatigue was associated with reduced subsequent long-term survival in 2 out of 4 models.
  • Female sex and increasing age were linked to greater fatigue after stroke.
  • The study used a reliable measure of fatigue (SF-36 vitality score).
  • The median SF-36 vitality score was significantly lower than that of the general population.

Takeaway

After having a stroke, many people feel very tired, and this tiredness can make it harder for them to live longer.

Methodology

The study analyzed SF-36 vitality scores from 1080 UK stroke patients and used logistic regression and Cox proportional hazards models to explore predictors of fatigue and its impact on survival.

Potential Biases

Potential bias due to missing data and the nature of self-reported measures.

Limitations

The study's findings may not be generalizable due to the specific cohort and the response rate of 77%.

Participant Demographics

Mean age was 71.1 years, with 55.7% male participants.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0016988

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