Hemorrhagic stroke outcomes of KApSR patients with co-morbid diabetes and Alzheimer's disease.

BACKGROUND: Vascular risk factors, such as diabetes mellitus (DM), are associated with poorer outcomes following many neurodegenerative diseases, including hemorrhagic stroke and Alzheimer's disease (AD). Combined AD and DM co-morbidities are associated with an increased risk of hemorrhagic stroke and increased Medicare costs. Therefore, we hypothesized that patients with DM in combination with AD, termed DM/AD, would have increased hemorrhagic stroke severity. METHODS: Kentucky Appalachian Stroke Registry (KApSR) is a database of demographic and clinical data from patients that live in Appalachia, a distinct region with increased health disparities and stroke severity. Inpatients with a primary indication of hemorrhagic stroke were selected from KApSR for retrospective analysis and were separated into four groups: DM only, AD only, neither, or both. RESULTS: Hemorrhagic stroke patients (2,071 total) presented with either intracerebral hemorrhage (ICH), n=1,448, or subarachnoid hemorrhage (SAH), n=623. When examining all four groups, subjects with AD were significantly older (AD+, 80.9±6.6 yrs) (DM+/AD+, 77.4±10.0 yrs) than non AD subjects (DM-/AD-, 61.3±16.5 yrs) and (DM+, 66.0±12.5 yrs). A higher percentage of females were among the AD+ group and a higher percentage of males among the DM+/AD+ group. Interestingly, after adjusting for multiple comparison, DM+/AD+ subjects were ten times as likely to suffer a moderate to severe stroke based on a National Institute of Health Stroke (NIHSS) upon admission [odds ratio (95% CI)] compared to DM-/AD- [0.1 (0.02-0.55)], DM+ [0.11 (0.02-0.59)], and AD+ [0.09(0.01-0.63)]. The odds of DM+/AD+ subjects having an unfavorable discharge destination (death, hospice, long-term care) was significant (P<0.05) from DM-/AD- [0.26 (0.07-0.96)] when adjusting for sex, age, and comorbidities. CONCLUSIONS: In our retrospective analysis utilizing KApSR, regardless of adjusting for age, sex, and comorbidities, DM+/AD+ patients were significantly more likely to have had a moderate or severe stroke leading to an unfavorable outcome following hemorrhagic stroke.

High Prevalence of Moyamoya Syndrome in Appalachia.

INTRODUCTION: Moyamoya is a chronic cerebrovascular condition of unclear etiology characterized by progressive occlusion of 1 or both internal carotid arteries with neovascular collateral formation. With both an idiopathic form (moya-moya disease) and congenital condition-associated form (moyamoya syndrome), it can cause ischemic and hemorrhagic stroke. Recent findings in Kentucky have challenged traditional estimates of its incidence in US populations. Using the Kentucky Appalachian Stroke Registry (KApSR), our aim was to further characterize its incidence as a cause of stroke and to understand the patient population in Appalachia. METHODS: A retrospective review of moyamoya patients was performed using the KApSR database. Data collected included demographics, county location, risk factors, comorbidities, and health-care encounters from January 1, 2012, to December 31, 2016. RESULTS: Sixty-seven patients were identified; 36 (53.7%) resided in Appalachian counties. The cohort accounted for 125 of 6,305 stroke admissions, representing an incidence of 1,983 per 100,000 stroke admissions. Patients presented with ischemic strokes rather than hemorrhagic strokes (odds ratio 5.50, 95% CI: 2.74-11.04, p < 0.01). Eleven patients (16.4%) exhibited autoimmune disorders. Compared to the general population with autoimmune disorder prevalence of 4.5%, the presence of autoimmunity within the cohort was significantly higher (p < 0.01). Compared to non-Appalachian patients, Appalachian patients tended to present with lower frequencies of tobacco use (p = 0.08), diabetes mellitus (p = 0.13), and hypertension (p = 0.16). CONCLUSIONS: Moyamoya accounts for a substantial number of stroke admissions in Kentucky; these patients were more likely to develop an ischemic stroke rather than a hemorrhagic stroke. Autoimmune disorders were more prevalent in moyamoya patients than in the general population. The reduced frequency of traditional stroke risk factors within the Appalachian group suggests an etiology distinct to the population.

Evaluation of Patients with High National Institutes of Health Stroke Scale as Thrombectomy Candidates Using the Kentucky Appalachian Stroke Registry.

INTRODUCTION: Mechanical thrombectomy has become standard of care for emergent large vessel occlusive stroke. Estimates of incidence for thrombectomy eligibility vary significantly. National Institutes of Health Stroke Scale (NIHSS) of 10 or greater is highly predictive of large vessel occlusion. Using our Kentucky Appalachian Stroke Registry (KApSR), we evaluated temporal trends in stroke admissions with NIHSS ≥10 to determine patient characteristics among that group along with effects and needs in thrombectomy utilization. METHODS: Using the KApSR database that captures patients throughout the Appalachian region in our stroke network, we evaluated patients admitted with ischemic stroke with NIHSS ≥10. We recorded demographics, comorbidities, treatment (thrombectomy, decompressive craniectomy), and county of origin. Change in NIHSS from admission to discharge was used as an indicator of inpatient outcome. RESULTS: Between 2010 and 2016, 1,510 patients were admitted with NIHSS ≥10. 87.2% had high blood pressure, 69.6% had dyslipidemia, and 41.7% used tobacco. There were significant sex differences in the types of patients presenting with NIHSS ≥10 with females being older on average and having more atrial fibrillation and obesity. There was an increase in thrombectomy utilization from 2010 to 2016, but only 7.5% of the potentially eligible patients underwent the procedure. In comparison to the period 2010-2014, the 2015-2016 period had higher rates of obesity and tobacco abuse. CONCLUSION: Among patients with significant burden of ischemic stroke, the most common coexisting medical condition was high blood pressure. Patients who underwent thrombectomy had significantly better inpatient clinical improvement. These data support the need to maximize utilization of thrombectomy along with need to devote increased resources on modifiable stroke risk factors.

The Kentucky Appalachian Stroke Registry (KApSR).

BACKGROUND: The population of rural Kentucky and West Virginia has a disproportionately high incidence of stroke and stroke risk factors. The Kentucky Appalachian Stroke Registry (KApSR) is a novel registry of stroke patients developed to collect demographic and clinical data in real time from these patients' electronic health records. OBJECTIVE: We describe the development of this novel registry and test it for ability to provide the information necessary to identify care gaps and direct clinical management. METHODS: The KApSR was developed as described in this article. To assess utility in patient care, we developed a "Diabetes Quality Assurance Dashboard" by cross-referencing patients in the registry with a diagnosis of ischemic cerebrovascular disease with patients that were tested for hemoglobin A1c (HbA1c) levels, patients with HbA1c levels diagnostic for diabetes mellitus (DM), and patients with an elevated HbA1c that were formally diagnosed with DM. RESULTS: For the 1008 patients treated for ischemic cerebrovascular disease in the year studied, 859 (85%) had their HbA1c tested. Of those, 281 had levels of 6.5 or greater, although only 261 (93%) were discharged with a formal diagnosis of DM. CONCLUSIONS: The KApSR has practical value as a tool to assess a large population of patients quickly for care quality and for research purposes.

Small Rural Hospitals Have a Harder Time Achieving Success in Continuous Quality Improvement: An Example From a Stroke Care Network.

BACKGROUND: University of Kentucky HealthCare established a Stroke Care Network (SCN) in 2008 to address the challenges of rural stroke care and improve care quality. METHODS: The SCN collects quality data from each affiliate that include volumes, mortality, length of stay, turnaround times, rt-PA door-to-needle time, 8 stroke core measures, and dysphagia screen measure. Characteristics of affiliate hospital studies include number of beds, Stroke Disease-Specific Care (DSC) certification by The Joint Commission, Appalachian designated county or not, time dedicated to stroke coordinator, submission of quality data for the calendar year, success of data, and utilization of American Heart Association's Get With the Guidelines. RESULTS: Seventeen of 23 (74%) affiliate hospitals submitted data. Highest scoring quality measures were antithrombotic by discharge (96%), antithrombotic by end of day 2 (93%), and assessed for rehabilitation (92%). Hospitals with DSC certification were more likely to succeed in stroke quality than those without (P = .0357). Hospitals in Appalachian counties were less likely to succeed in quality measures than those in non-Appalachian designated counties (P = .02). CONCLUSIONS: Our results demonstrate successful collection of quality data among hospitals bound only by an affiliation agreement. Areas to improve quality identified are door to computed tomographic interpretation, thrombolytic therapy, and dysphagia screening. We suspect that DSC certification is driving quality success in our network hospitals. That Appalachian affiliate hospitals are less likely to succeed could be due to a number of reasons such as the fewer resources available in Appalachian counties and may reflect the financial plight of rural hospitals more generally.