Person:

Schwamm, Lee

Background and Purpose— Value-based health care aims to bring together patients and health systems to maximize the ratio of quality over cost. To enable assessment of healthcare value in stroke management, an international standard set of patient-centered stroke outcome measures was defined for use in a variety of healthcare settings. Methods— A modified Delphi process was implemented with an international expert panel representing patients, advocates, and clinical specialists in stroke outcomes, stroke registers, global health, epidemiology, and rehabilitation to reach consensus on the preferred outcome measures, included populations, and baseline risk adjustment variables. Results— Patients presenting to a hospital with ischemic stroke or intracerebral hemorrhage were selected as the target population for these recommendations, with the inclusion of transient ischemic attacks optional. Outcome categories recommended for assessment were survival and disease control, acute complications, and patient-reported outcomes. Patient-reported outcomes proposed for assessment at 90 days were pain, mood, feeding, selfcare, mobility, communication, cognitive functioning, social participation, ability to return to usual activities, and health-related quality of life, with mobility, feeding, selfcare, and communication also collected at discharge. One instrument was able to collect most patient-reported subdomains (9/16, 56%). Minimum data collection for risk adjustment included patient demographics, premorbid functioning, stroke type and severity, vascular and systemic risk factors, and specific treatment/care-related factors. Conclusions— A consensus stroke measure Standard Set was developed as a simple, pragmatic method to increase the value of stroke care. The set should be validated in practice when used for monitoring and comparisons across different care settings.

Background and Purpose— Patients with acute ischemic stroke are at increased risk of developing parenchymal hemorrhage (PH), particularly in the setting of reperfusion therapies. We have developed a predictive model to examine the risk of PH using combined magnetic resonance perfusion and diffusion parameters, including cerebral blood volume (CBV), apparent diffusion coefficient, and microvascular permeability (K2). Methods— Voxel-based values of CBV, K2, and apparent diffusion coefficient from the ischemic core were obtained using pretreatment magnetic resonance imaging data from patients enrolled in the MR RESCUE clinical trial (Mechanical Retrieval and Recanalization of Stroke Clots Using Embolectomy). The associations between PH and extreme values of imaging parameters were assessed in univariate and multivariate analyses. Receiver-operating characteristic curve analysis was performed to determine the optimal parameter(s) and threshold for predicting PH. Results— In 83 patients included in this analysis, 20 developed PH. Univariate analysis showed significantly lower 10th percentile CBV and 10th percentile apparent diffusion coefficient values and significantly higher 90th percentile K2 values within the infarction core of patients with PH. Using classification tree analysis, the 10th percentile CBV at threshold of 0.47 and 90th percentile K2 at threshold of 0.28 resulted in overall predictive accuracy of 88.7%, sensitivity of 90.0%, and specificity of 87.3%, which was superior to any individual or combination of other classifiers. Conclusions— Our results suggest that combined 10th percentile CBV and 90th percentile K2 is an independent predictor of PH in patients with acute ischemic stroke with diagnostic accuracy superior to individual classifiers alone. This approach may allow risk stratification for patients undergoing reperfusion therapies. Clinical Trial Registration— URL: https://www.clinicaltrials.gov. Unique identifier: NCT00389467.

Background: Approximately 20% of the US population primarily speaks a language other than English at home. Yet the effect of language preference on treatment of acute ischemic stroke (AIS) patients remains unknown. We aimed to evaluate the influence of language preference on AIS patients’ receipt of intravenous (IV) thrombolysis. Methods and Results: We analyzed data from 3894 AIS patients who participated in the American Heart Association “Get With The Guidelines®—Stroke” program at our hospital from January 1, 2003 to April 30, 2014. Information included patients’ language in which they preferred to receive medical care. We used descriptive statistics and stepwise logistic regression models to examine associations between patients’ language preference and receipt of IV thrombolysis, adjusting for relevant covariates. A total of 306/3295 (9.3%) AIS patients preferred to speak a non‐English language and represented 25 different languages. Multivariable analyses adjusting for other socioeconomic factors showed that non‐English‐preferring patients were more likely than English‐preferring patients to receive IV thrombolysis (OR=1.64; CI=1.09‐2.48; P=0.02). However, in models that also included age, sex, and initial NIH Stroke Scale, patients’ language preference was no longer significant (OR 1.38; CI=0.88‐2.15; P=0.16), but NIH Stroke Scale was strongly associated with receiving IV thrombolysis (OR=1.15 per point; CI=1.13‐1.16; P<0.0001). Conclusions: Contrary to our hypothesis, non‐English‐preferring was not associated with lower rates of IV thrombolysis among AIS patients once initial stroke severity was accounted for.

Background: Differences in activation of emergency medical services (EMS) may contribute to racial/ethnic and sex disparities in stroke outcomes. The purpose of this study was to determine whether EMS use varied by race/ethnicity and sex among a current, diverse national sample of hospitalized acute stroke patients. Methods and Results: We analyzed data from 398 798 stroke patients admitted to 1613 Get With The Guidelines–Stroke participating hospitals between October 2011 and March 2014. Multivariable logistic regression was used to evaluate the associations between combinations of racial/ethnic and sex groups with EMS use, adjusting for potential confounders including demographics, medical history, and stroke symptoms. Patients were 50% female, 69% white, 19% black, 8% Hispanic, 3% Asian, and 1% other, and 86% had ischemic stroke. Overall, 59% of stroke patients were transported to the hospital by EMS. White women were most likely to use EMS (62%); Hispanic men were least likely to use EMS (52%). After adjustment for patient characteristics, Hispanic and Asian men and women had 20% to 29% lower adjusted odds of using EMS versus their white counterparts; black women were less likely than white women to use EMS (odds ratio 0.75, 95% CI 0.72 to 0.77). Patients with weakness or paresis, altered level of consciousness, and/or aphasia were significantly more likely to use EMS than patients without each symptom; the observed racial/ethnic and sex differences in EMS use remained significant after adjustment for stroke symptoms. Conclusions: EMS use differed by race/ethnicity and sex. These contemporary data document suboptimal use of EMS transport among US stroke patients, especially by racial/ethnic minorities and those with less recognized stroke symptoms.

Background: The inability to communicate effectively in a common language can jeopardize clinicians’ efforts to provide quality patient care. Professional medical interpreters (PMIs) can help provide linguistically appropriate health care, in particular for the >25 million Americans who identify speaking English less than very well. We aimed to evaluate the relationship between use of PMIs and quality of acute ischemic stroke care received by patients who preferred to have their medical care in languages other than English. Methods and Results: We analyzed data from 259 non–English‐preferring acute ischemic stroke patients who participated in the American Heart Association Get With The Guidelines–Stroke program at our hospital from January 1, 2003, to April 30, 2014. We used descriptive statistics and logistic regression models to examine associations between involvement of PMIs and patients’ receipt of defect‐free stroke care. A total of 147 of 259 (57%) non–English‐preferring patients received PMI services during their hospital stays. Multivariable analyses adjusting for other socioeconomic factors showed that acute ischemic stroke patients who did not receive PMIs had lower odds of receiving defect‐free stroke care (odds ratio: 0.52; P=0.04). Conclusions: Our findings suggest that PMIs may influence the quality of acute ischemic stroke care.