Objective: The aim: To identify admission variables associated with Functional Ambulation Classif i cation (FAC) 1 to 4 (unable to walk without assistance) at time of discharge (dFAC<5) from a comprehensive stroke unit (CSU).
Patients and methods: Materials and methods: Patients admitted to CSU at Oberig Clinic, Kyiv, Ukraine, August 01, 2012 to July 31, 2018, were screened for study selection criteria. Association of qualifying patients' data with FAC score at CSU discharge was retrospectively assessed by univariate and multivariate logistic regression, odds ratios (OR) and 95% conf i dence intervals (95% CI) using MedCalc v. 19.1.
Results: Results: The study cohort (442 of 492 admitted patients) had median age: 65.8 years, gender: 43% female, stroke-type: 84% ischemic strokes, median baseline NIHSS total score: 10. Estimated time from stroke onset to CSU admission was from less-than-24-hours to over-180-days. The univariate logistic regression analysis, revealed 28 variables signif i cantly (p<0.05) related to dFAC<5; while in multivariate analysis only 4 admission variables were signif i cantly (p<0.05) associated with dFAC<5: age (OR= 1.07; 95% CI 1.03-1.10, on average, for each additional year, p<0.001), baseline NIHSS score (OR= 1.15; 95% CI 1.08-1.22, on average, with a 1-point increase in the total score, p<0.001), initial FAC score (OR= 0.40; 95% CI 0.31-0.52, on average, with a 1-point decrease in the score, p<0.001), and very late CSU admission (over 180 days; OR= 5.7; 95% CI 1.9-17.1, p=0.002).
Conclusion: Conclusions: Four admission variables may be independently associated with dFAC<5 and provide opportunity for improving CSU outcomes and mitigating risk for inability to ambulate without assistance after CSU discharge.
Keywords: Stroke; admission variables; ambulation; comprehensive stroke unit; outcome; prognostication.