The effect of selected socio-demographic and clinical factors on the degree of disability of patients hospitalized for stroke

Andrzej Kleinrok
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Daniel Płaczkiewicz
Paweł Stefańczyk
Katarzyna Kudrelek
Katedra Pielęgniarstwa Wyższej Szkoły Zarządzania i Administracji w Zamościu, Zamość, Polska
Oddział Kardiologii, Samodzielny Publiczny Szpital Wojewódzki im. Papieża Jana Pawła II, Zamość, Polska
Oddział Kardiologii, Samodzielny Publiczny Szpital Wojewódzki im. Papieża Jana Pawła II, Zamość, Polska
Wydział Fizjoterapii Wyższej Szkoły Zarządzania i Administracji, Zamość, Polska

Abstract

Background and purpose: An important element of management in stroke patients is the early prediction of functional status in which patients will leave hospital. So far there is no single, universally accepted prediction model and the proposed algorithms are often too complex. The aim of this study was to determine the effect of easy-to-assess basic socio-demographic factors and risk factors for functional status after stroke.

Material and methods: A retrospective study of 150 patients aged 28-88 years, hospitalized for stroke. Functional status was assessed before discharge using modified Rankin Scale (MRS) and Barthel Index (BI). The cut-off points for determining the poorer status of patients were MRS ≥4 (disability) and BI <60 (dependence). The statistical analyzes used Pearson chi-square test and Mann-Whitney U test (univariate analysis) and logistic regression test (multivariate analysis).

Results: The presence of intermittent claudication (odds ratio OR 5.31, CI 95% CI, 1.90-14.82), the physical nature of the job (OR 3.65, 95% CI, 1.59-8.33) and non-marital status (OR 3.14, 95% CI, 1.23-8.33) were associated with increased risk of poorer performance in patients after stroke. Hypertension (HA) (OR 6.44, 95% CI, 2.19-18.98), age over 67 years (OR 5.47, 95% CI, 1.92-16.67), diabetes mellitus (DM) (OR 4.16, 95% CI, 1.46-11.80 ) and no or only primary education (OR 2.97, 95% CI, 1.22-7.25) increased the risk of less autonomy in these patients.

Conclusions: A wider than currently adopted inclusion of socio-demographic factors and risk factors for predictive models on functional status of patients after stroke seems justified.

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