LR tests showed no evidence for interactions of cotinine on risk of stroke by gender (p=0.92) or age (p=0.83).
A total of 73 patients from the two separate studies were matched for age at stroke onset, gender, and initial motor functioning.
In this paper we present patient costs, relate costs to need, predisposing and enabling factors (i.e., severity of stroke, age, gender, place of residence before stroke, waiting lists) [ 17], different care pathways and analyse whether costs differ between regular care for stroke patients and care organised in stroke services.
Using cluster analysis, with relevant patient characteristics (age, gender, stroke type, first stroke, localization stroke), balance, arm function, walking abilities, activities of daily living, depressive complaints and neuropsychiatric symptoms, we were able to identify two clusters of patients: those in fair/good condition on admission and those in poor condition on admission.
PHDs is suggestive of an incremental risk for ischaemic stroke with gender-dependent, age-specific and time-dependent characteristics.
To explore differences between recruited and non-recruited patients (objective 2), we systematically examined the association between patient demographic and clinical factors (ie, age, gender, stroke severity, stroke type) and patient recruitment or non-recruitment.
Even after the stepwise inclusion of gender, stroke subtype, history of stroke in the previous year and comorbidities, these age effects remained largely stable.
*Multivariable logistic regression adjusted for age, gender, stroke risk factors, comorbidities, pre-stroke dependence, pre-admission antiplatelet therapy, pre-admission anticoagulation therapy, admission blood pressure, NIHSS score, GCS score, OCSP subtypes, intravenous t-PA, antithrombotic therapies within 48 h after admission, and length of hospital stay.
From the medical records the following patients' characteristics were collected: age, gender, first stroke or recurrent stroke, stroke subtype (ischemic/non-ischemic) and localization of stroke.
†Adjusted for age, gender, stroke, hypertension, epilepsy, anxiety, depression, and insomnia *P < 0.05.
