Affiliations: Department of Physical Medicine and Rehabilitation, Istanbul Training and Research Hospital, Istanbul, Turkey
Correspondence:
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Address for correspondence: Turkan Akin, MD, Department of Physical Medicine and Rehabilitation, Istanbul Training and Research Hospital, 34098 Istanbul, Turkey. Tel.: +90 5448849911; Fax: +90 212 632 00 60; E-mail: [email protected]
Abstract: Background:Stroke is acute vascular deterioration of cerebral functions and 2nd leading cause of death. As population gets older, as well as the increasing prevalence of stroke and disability from chronic disease, the demand for rehabilitation care will continue to rise. There is need for evidence based rehabilitation approaches and rehabilitation outcomes should be proved by objective questionnairres to qualify the process. Objective:To present the functional outcomes of stroke rehabilitation process among functional impairment measure evaluation. Determine the contributing factors on functional gain. Material-methods:Retrospectively assessment of data of 142 posttroke patients performed. In addition to demographical and clinical properties, functional outcomes with functional impairment measurement (FIM) and motor evaluation by Brunnstrom Motricitiy Index were recorded. Risk factors for stroke were questionned also. Results:The mean of ages was 64.30 ± 11.9 years, male/female ratios were 47.2%/ 52.8%. The functional gain was 20.4% in M-FIM, 14.7% in C-FIM. Better outcomes gained by the patients who stayed longer than 15 days (ANOVA, p: 0.000) and who had hemorrhagic etiology (MannWhitney U, p: 0.048), meanwhile there was no significant difference in gender and plegic side groups on both Motor-FIM and Cognitive-FIM gains (p > 0.05, MannWhitney U). Regression models exhibited highest impact on the M-FIM gain were the admission M-FIM scores and DM (adjusted Rsquare: 0.173, p: 0.000). Admission C-FIM scores had positive correlation with discharge C-FIM scores (r: 0.917, p: 0.000). Although older age was the negative determinant of C-FIM gain (r: −0.202, p: 0.016). We obtained the risk factor distribution 71.8% for HT, 29.6% for CAD, 25.6% for smoking, 16.2% for TIA and 33.1% for DM. All had negative impact on functional outcomes but DM had significantly (regression analysis p < 0.05). Conclusion:Improvement by rehabilitation programme determined by FIM scores. Data provided about the poststroke patients and present risk factors. Still there exists similar ratios of risk factors as studies before eventhough prevention recommendations.
