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Assessment of nursing care-associated predictors of in-hospital mortality in the patients with acute ischemic stroke
Author(s) -
Angelina Skodric,
Gorica Marić,
D Jovanović,
Ljiljana BeslaćBumbaširević,
Darija Kisić-Tepavčević,
Tatjana Pekmezović
Publication year - 2017
Publication title -
vojnosanitetski pregled
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 19
eISSN - 2406-0720
pISSN - 0042-8450
DOI - 10.2298/vsp170422156s
Subject(s) - medicine , neurology , stroke (engine) , emergency department , univariate analysis , proportional hazards model , intensive care unit , hazard ratio , emergency medicine , multivariate analysis , prospective cohort study , cohort , confidence interval , nursing , mechanical engineering , psychiatry , engineering
Background: Stroke remains one of the leading causes of death and disability worldwide. Aim: To determine nursing care-associated predictors of in-hospital mortality in patients with acute ischemic stroke (AIS) who were hospitalized at the Department of Emergency Neurology. Methods: Prospective cohort study included 59 consecutive patients with AIS admitted to Department of Emergency Neurology, Neurology Clinic Center of Serbia, Belgrade. Patients were followed until discharge or death. For exploring relationship between outcome of patients with AIS and different groups of factors, univariate and multivariate Cox proportionate hazard regression models were used. Results: There were 32 male and 27 female patients with AIS. Mean age was 62.5±15.2 years. Average duration of hospitalization was 11.1 ± 9.6 days (median 8 days, range 1-54 days). Almost 80% of patients (47/59, 79.7%) were admitted to stroke unit, while 12 patients (20.3%) were admitted to intensive care unit. In univariate Cox regression analysis significant variables (p<0.05) were Morse score (p=0.030) and type of admission unit (p=0.029). The multivariate predictive model revealed that type of admission unit (stroke unit vs. conventional unit) (HR=0.16, p=0.032) is the independent predictor of in-hospital mortality in patients with AIS. Conclusion: Results of this study showed important role of nursing staff in AIS patients’ recovery, as well as that admission to stroke units versus conventional units is independent predictor of decreased in-hospital mortality.

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