Gender and Time to Arrival among Ischemic Stroke Patients in the Greater Cincinnati/Northern Kentucky Stroke Study.

BACKGROUND: Some studies of stroke patients report longer prehospital delays in women, but others conflict; studies vary in their inclusion of factors including age and stroke severity. We aimed to investigate the relationship between gender and time to emergency department (ED) arrival and the influence of age and stroke severity on this relationship. METHODS: Ischemic stroke patients 20 years old or older who presented to 15 hospitals within a 5-county region of Greater Cincinnati/Northern Kentucky during 2010 were included. Time from symptom onset to ED arrival and covariates were abstracted by study nurses and reviewed by study physicians. Data were analyzed using logistic regression with time to arrival dichotomized at 3 hours or less in the overall sample and then stratified by National Institutes of Health Stroke Scale (NIHSS) and age. RESULTS: 1991 strokes (55% women) were included. Time to arrival was slightly longer in women (geometric mean 337 minutes [95% confidence interval {CI} 307-369] versus 297 [95% CI 268-329], P = .05), and 24% of women versus 27% of men arrived within 3 hours (P = .15). After adjusting for age, race, NIHSS, living situation, and other covariates, gender was not associated with delayed time to arrival (OR = 1.00, 95% CI .78-1.28). This did not change across age or NIHSS categories. CONCLUSIONS: After adjusting for factors including age, NIHSS score, and living alone, women and men with ischemic stroke had similar times to arrival. Arrival time is not likely a major contributor to differences in outcome between men and women.

Analysis of tissue plasminogen activator eligibility by sex in the Greater Cincinnati/Northern Kentucky Stroke Study.

BACKGROUND AND PURPOSE: Sex differences in recombinant tissue-type plasminogen activator (r-tPA) administration are present in some populations. It is unknown whether this is because of eligibility differences or the modifiable exclusion criterion of severe hypertension. Our aim was to investigate sex differences in r-tPA eligibility, in individual exclusion criteria, and in the modifiable exclusion criterion, hypertension. METHODS: We included all ischemic stroke patients ≥18 years among residents of the Greater Cincinnati/Northern Kentucky region who presented to 16-area emergency departments in 2005. Eligibility for r-tPA and individual exclusion criteria were determined using 2013 American Heart Association (AHA) and European Cooperative Acute Stroke Study (ECASS) III guidelines. RESULTS: Of 1837 ischemic strokes, 58% were women, 24% were black. Mean age in years was 72.2 for women and 66.1 for men. Eligibility for r-tPA was similar by sex (6.8% men and 6.1% women; P=0.55), even after adjusting for age (7.0% and 5.9%; P=0.32). Similar proportions of women and men arrived beyond 3- and 4.5-hour time windows, but more women had severe hypertension. There were no sex differences in blood pressure treatment rates among those with severe hypertension (14.6% women and 20.8% men; P=0.21). More women were >80 years and had National Institutes of Health Stroke Scale (NIHSS) >25. CONCLUSIONS: Within a large, biracial population, eligibility for r-tPA was similar by sex. Women were more likely to have the modifiable exclusion criterion of severe hypertension but were not more likely to be treated. Women were more likely to have 2 of the 5 ECASS III exclusion criteria. Undertreatment of hypertension in women is a potentially modifiable contributor to reported differences in r-tPA administration.

Patients living in impoverished areas have more severe ischemic strokes.

BACKGROUND AND PURPOSE: Initial stroke severity is one of the strongest predictors of eventual stroke outcome. However, predictors of initial stroke severity have not been well-described within a population. We hypothesized that poorer patients would have a higher initial stroke severity on presentation to medical attention. METHODS: We identified all cases of hospital-ascertained ischemic stroke occurring in 2005 within a biracial population of 1.3 million. "Community" socioecomic status was determined for each patient based on the percentage below poverty in the census tract in which the patient resided. Linear regression was used to model the effect of socioeconomic status on stroke severity. Models were adjusted for race, gender, age, prestroke disability, and history of medical comorbidities. RESULTS: There were 1895 ischemic stroke events detected in 2005 included in this analysis; 22% were black, 52% were female, and the mean age was 71 years (range, 19-104). The median National Institutes of Health Stroke Scale was 3 (range, 0-40). The poorest community socioeconomic status was associated with a significantly increased initial National Institutes of Health Stroke Scale by 1.5 points (95% confidence interval, 0.5-2.6; P<0.001) compared with the richest category in the univariate analysis, which increased to 2.2 points after adjustment for demographics and comorbidities. CONCLUSIONS: We found that increasing community poverty was associated with worse stroke severity at presentation, independent of other known factors associated with stroke outcomes. Socioeconomic status may impact stroke severity via medication compliance, access to care, and cultural factors, or may be a proxy measure for undiagnosed disease states.

Sex differences in cardiovascular risk profiles of ischemic stroke patients with diabetes in the Greater Cincinnati/Northern Kentucky Stroke Study.

BACKGROUND: The aim of the present study was to compare sex-specific associations between cardiovascular risk factors and diabetes mellitus (DM) among patients with acute ischemic stroke (AIS) in the Greater Cincinnati/Northern Kentucky Stroke Study (GCNKSS). METHODS: The GCNKSS ascertained AIS cases in 2005 and 2010 among adult (age ≥ 20 years) residents of a biracial population of 1.3 million. Past and current stroke risk factors were compared between those with and without DM using Chi-squared tests and multiple logistic regression analysis to examine sex-specific profiles. RESULTS: There were 3515 patients with incident AIS; 1919 (55%) were female, 697 (20%) were Black, and 1146 (33%) had DM. Among both women and men with DM, significantly more were obese and had hypertension, high cholesterol, and coronary artery disease (CAD) compared with those without DM. For women with AIS, multivariable sex-specific adjusted analyses revealed that older age was associated with decreased odds of having DM (adjusted odds ratio [aOR] 0.88, 95% confidence interval [CI] 0.80-0.98). For women with CAD, the odds of DM were increased (aOR 1.76, 95% CI 1.33-2.32). Age and CAD were not significant factors in differentiating the profiles of men with and without DM. CONCLUSIONS: Women with DM had strokes at a younger age, whereas no such age difference existed in men. Compared with men, women with DM were also more likely to have CAD than those without DM, suggesting a sex difference in the association between DM and vascular disease. These findings may suggest a need for more aggressive risk factor management in diabetic women.

Potentially Missed Diagnosis of Ischemic Stroke in the Emergency Department in the Greater Cincinnati/Northern Kentucky Stroke Study.

OBJECTIVE: Missed diagnoses of acute ischemic stroke (AIS) in the ED may result in lost opportunities to treat AIS. Our objectives were to describe the rate and clinical characteristics of missed AIS in the ED, to determine clinical predictors of missed AIS, and to report tissue plasminogen (tPA) eligibility among those with missed strokes. METHODS: Among a population of 1.3 million in a five-county region of southwest Ohio and northern Kentucky, cases of AIS that presented to 16 EDs during 2010 were identified using ICD-9 codes followed by physician verification of cases. Missed ED diagnoses were physician-verified strokes that did not receive a diagnosis indicative of stroke in the ED. Bivariate analyses were used to compare clinical characteristics between patients with and without an ED diagnosis of AIS. Logistic regression was used to evaluate predictors of missed AIS diagnoses. Alternative diagnoses given to those with missed AIS were codified. Eligibility for tPA was reported between those with and without a missed stroke diagnosis. RESULTS: Of 2,027 AIS cases, 14.0% (n = 283) were missed in the ED. Race, sex, and stroke subtypes were similar between those with missed AIS diagnoses and those identified in the ED. Hospital length of stay was longer in those with a missed diagnosis (5 days vs. 3 days, p < 0.0001). Younger age (adjusted odds ratio [aOR] = 0.94, 95% confidence interval [CI] = 0.89 to 0.98) and decreased level of consciousness (LOC) (aOR = 3.58, 95% CI = 2.63 to 4.87) were associated with higher odds of missed AIS. Altered mental status was the most common diagnosis among those with missed AIS. Only 1.1% of those with a missed stroke diagnosis were eligible for tPA. CONCLUSION: In a large population-based sample of AIS cases, one in seven cases were not diagnosed as AIS in the ED, but the impact on acute treatment rates is likely small. Missed diagnosis was more common among those with decreased LOC, suggesting the need for improved diagnostic approaches in these patients.