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EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE
A Journal on Physical Medicine and Rehabilitation after Pathological Events
Official Journal of the , , , ,
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Indexed/Abstracted in: CINAHL, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 2,063
European Journal of Physical and Rehabilitation Medicine 2013 August;49(4):463-72
Differential trajectory of functional recovery and determinants for first time stroke survivors by using a LCGA approach: a hospital based analysis over a 1-year period
Huang H.-C. 1, 2, Chang C.-H. 3, 4, Lee T.-H. 3, Chang Y.-J. 3, Ryu S.-J. 3, 5, Chang T.-Y. 3, Huang K.-L. 3, Liu C.-H. 3, Chang H.-J. 1 ✉
1 Graduate Institute of Nursing, College of Nursing Taipei Medical University, Taipei, Taiwan;
2 Department of Nursing, Cardinal Tien College of Healthcare and Management, New Taipei City, Taiwan;
3 Stroke Center and Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center and College of Medicine, Chang Gung University, Kueishan, Taoyuan, Taiwan;
4 Department of Electrical Engineering, College of Chang Gung University, Kueishan, Taoyuan, Taiwan;
5 Department of Neurology of Shuang Ho Hospital, Taiwan
Background: Functional outcome and the risk factors for stroke survivors have explored in previous study. However, a comprehensive understanding of the patterns and critical risk factors of functional recovery is limited.
Aim: To explore the trajectory groups and determinants of functional recovery for ischemic stroke patients during 1 year after stroke.
Design: Longitudinal study.
Population: First-time stroke patients.
Method: A total of 367 first-time ischemic stroke patients from the Stroke Registry in the Chang Gung Hospital (SRICH) database were analyzed in this study. Study variables comprised demographic and disease characteristics, laboratory data, and functional outcome. The Latent Class Growth Analysis (LCGA) was used to identify various trajectory clusters and multinomial logistic regression was used to identify the predictors of functional recovery.
Result: Five trajectory clusters of functional recovery were identified using the Barthel Index. Among five clusters of functional recovery, nearly 18% of first-ever ischemic stroke patients maintained functional dependence, whereas 82% of stroke patients demonstrated functional recovery; and the significant recovery time totaled three months after the stroke. Determinants for various trajectory clusters of functional recovery were body mass index and serum albumin level, especially a higher serum albumin concentration predicted a more favorable functional recovery.
Conclusion: Our findings suggest that diverse functional recovery clusters persisted and serum albumin concentration at admission was a critical assessment factor.
Clinical rehabilitation: Such information could be useful for identifying the different rehabilitation needs of varying trajectory groups and for effectively improving functional ability among the ischemic stroke population.