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A History of Falls is Associated with a Significant Increase in Acute Mortality in Women after Stroke
Article in English | WPRIM (Western Pacific) | ID: wpr-88549
Responsible library: WPRO
ABSTRACT
BACKGROUND AND

PURPOSE:

The risks of falls and fractures increase after stroke. Little is known about the prognostic significance of previous falls and fractures after stroke. This study examined whether having a history of either event is associated with poststroke mortality.

METHODS:

We analyzed stroke register data collected prospectively between 2003 and 2015. Eight sex-specific models were analyzed, to which the following variables were incrementally added to examine their potential confounding effects age, type of stroke, Oxfordshire Community Stroke Project classification, previous comorbidities, frailty as indicated by the prestroke modified Rankin Scale score, and acute illness parameters. Logistic regression was applied to investigate in-hospital and 30-day mortality, and Cox proportional-hazards models were applied to investigate longer-term outcomes of mortality.

RESULTS:

In total, 10,477 patients with stroke (86.1% ischemic) were included in the analysis. They were aged 77.7±11.9 years (mean±SD), and 52.2% were women. A history of falls was present in 8.6% of the men (n=430) and 20.2% of the women (n=1,105), while 3.8% (n=189) of the men and 12.9% of the women (n=706) had a history of both falls and fractures. Of the outcomes examined, a history of falls alone was associated with increased in-hospital mortality [odds ratio (OR)=1.33, 95% confidence interval (CI)=1.03–1.71] and 30-day mortality (OR=1.34, 95% CI=1.03–1.73) in women in the fully adjusted models. The Cox proportional-hazards models for longer-term outcomes and the history of falls and fractures combined showed no significant results.

CONCLUSIONS:

The history of falls is an important factor for acute stroke mortality in women. A previous history of falls may therefore be an important factor to consider in the short-term stroke prognosis, particularly in women.
Subject(s)

Full text: Available Health context: SDG3 - Target 3.4 Reduce premature mortality due to noncommunicable diseases Health problem: Cardiovascular Disease / Cerebrovascular Disease Database: WPRIM (Western Pacific) Main subject: Prognosis / Accidental Falls / Comorbidity / Logistic Models / Prospective Studies / Mortality / Classification / Hospital Mortality / Stroke Type of study: Observational study / Prognostic study / Risk factors Limits: Female / Humans / Male Language: English Journal: Journal of Clinical Neurology Year: 2017 Document type: Article
Full text: Available Health context: SDG3 - Target 3.4 Reduce premature mortality due to noncommunicable diseases Health problem: Cardiovascular Disease / Cerebrovascular Disease Database: WPRIM (Western Pacific) Main subject: Prognosis / Accidental Falls / Comorbidity / Logistic Models / Prospective Studies / Mortality / Classification / Hospital Mortality / Stroke Type of study: Observational study / Prognostic study / Risk factors Limits: Female / Humans / Male Language: English Journal: Journal of Clinical Neurology Year: 2017 Document type: Article
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