Age, gender, certain pre-existing conditions (hypertension, hepatic cirrhosis, peptic ulcer disease, previous GIB), pre-stroke dependence, admission NIHSS score, GCS score, and OCSP subtype proved to be independent predictors for in-hospital GIB.
*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.
1. Age, gender, certain pre-existing conditions (hypertension, hepatic cirrhosis, peptic ulcer disease, previous GIB), pre-stroke dependence, admission NIHSS score, GCS score, and OCSP subtype proved to be independent predictors for in-hospital GIB,based on which an 18-point GIB-AIS was developed.
An 18-point AIS-GIB score was developed from the set of independent predictors of GIB including age, gender, history of hypertension, hepatic cirrhosis, peptic ulcer or previous GIB, pre-stroke dependence, admission National Institutes of Health stroke scale score, Glasgow Coma Scale score and stroke subtype (Oxfordshire).
Patients were excluded if any of the criteria below were met: (1) pre-stroke dependence (modified Rankin Scale score ≥3); (2) patients who did not agreed to participate in follow-up; and (3) patients who were lost to one-year follow-up.
Consistent with prior studies, we confirmed that advanced age [ 2, 8, 9], history of peptic ulcer or previous GIB [ 6, 7, 25], history of hypertension [ 4, 26], pre-stroke dependence [ 2], admission stroke severity [ 4, 6, 7], impaired consciousness (measured with GCS score) [ 2, 5, 8], and middle cerebral artery territory ischemia [ 2, 9] were significantly associated with GIB after AIS.
Anthropometric measurements in relation to MI, CHF, stroke, ADL dependence, cognitive impairment and dementia were assessed.
According to a screening interview the participants had no history of epilepsy or seizures, current psychosis and/or substance dependence, stroke or major head trauma, or implants which could affect the rTMS.
In such experiments, the strain dependence of stroke kinetics may be explored by comparing event-averaged and time-averaged displacements of the filament.
for t = waves {3, 4, 5, 6, 7, 8, 9} of the NPHS 1. where HMPS is receipt of publicly funded HMPS and z represents exogenous predictors (age, sex, income, education, minority, immigrant, urban, partner, other adult, province, emphysema, diabetes, heart disease, stroke, incontinence, arthritis, disability, dependence, over 3 chronic conditions).
Neurological disorders such as stroke or epilepsy, drug/alcohol dependence, major psychiatric co-morbidities and implanted pacemaker may be seen as an exclusion criterion.
