The VA National Teleneurology Program (NTNP): Implementing Teleneurology to Improve Equitable Access to Outpatient Neurology Care.

BACKGROUND: Telehealth is increasingly utilized in many healthcare systems to improve access to specialty care and better allocate limited resources, especially for rurally residing persons who face unique barriers to care. OBJECTIVES: The VHA sought to address critical gaps in access to neurology care by developing and implementing the first outpatient National Teleneurology Program (NTNP). DESIGN: Pre-post evaluation of intervention and control sites. PARTICIPANTS: NTNP sites and VA control sites; Veterans completing an NTNP consult and their referring providers. INTERVENTION: Implementation of the NTNP at participating sites. MAIN MEASURES: NTNP and community care neurology (CCN) volume of consults before and after implementation; time to schedule and complete consults; Veteran satisfaction. KEY RESULTS: In FY2021, the NTNP was implemented at 12 VA sites; 1521 consults were placed and 1084 (71.3%) were completed. NTNP consults were scheduled (10.1 vs 29.0 days, p < 0.001) and completed (44.0 vs 96.9 days, p < 0.001) significantly faster than CCN consults. Post-implementation, monthly CCN consult volume was unchanged at NTNP sites compared to pre-implementation (mean change of 4.6 consults per month, [95% CI - 4.3, 13.6]), but control sites had a significant increase (mean change of 24.4 [5.2, 43.7]). The estimated difference in mean change in CCN consults between NTNP and control sites persisted after adjusting for local neurology availability (p < 0.001). Veterans (N = 259) were highly satisfied with NTNP care (mean (SD) overall satisfaction score 6.3 (1.2) on a 7-point Likert scale). CONCLUSIONS: Implementation of NTNP resulted in more timely neurologic care than care in the community. The observed significant increase in monthly CCN consults at non-participating sites during the post-implementation period was not seen at NTNP sites. Veterans were highly satisfied with Teleneurology care.

One-Year Costs Associated With the Veterans Affairs National TeleStroke Program.

OBJECTIVES: Access to timely care is important for patients with stroke, where rapid diagnosis and treatment affect functional status, disability, and mortality. Telestroke programs connect stroke specialists with emergency department staff at facilities without on-site stroke expertise. The objective of this study was to examine healthcare costs for patients with stroke who sought care before and after implementation of the US Department of Veterans Affairs National TeleStroke Program (NTSP). METHODS: We identified 471 patients who had a stroke and sought care at a telestroke site and compared them to 529 patients with stroke who received stroke care at the same sites before telestroke implementation. We examined patient costs for 12 months before and after stroke, using a linear model with a patient-level fixed effect. RESULTS: NTSP was associated with significantly higher rates of patients receiving guideline concordant care. Compared with control patients, those treated by NTSP were 14.3 percentage points more likely to receive tissue plasminogen activator and 4.3 percentage points more likely to receive a thrombectomy (all P < .0001). NTSP was associated with $4821 increased costs for patients with stroke in the first 30 days after the program (2019 dollars). There were no observed savings over 12 months, and the added costs of care were attributable to higher rates of guideline concordant care. CONCLUSIONS: Telestroke programs are unlikely to yield short-term savings because optimal stroke care is expensive. Healthcare organizations should expect increases in healthcare costs for patients treated for stroke in the first year after implementing a telestroke program.

Provider Communication and Telepresence Enhance Veteran Satisfaction With Telestroke Consultations.

BACKGROUND AND PURPOSE: Telestroke has been demonstrated to be a cost-effective means to expand access to care and improve outcomes in stroke; however, information on patient perceptions of this system of care delivery are limited. This study seeks to examine patient feedback of a national telestroke system within the Veterans Health Administration. METHODS: Patients who received a telestroke consultation were eligible for a phone interview 2 weeks later, including questions about technology quality, telepresence, and telestroke provider communication. Satisfaction scores ranged from 1 to 7 (higher=more satisfied) and for analyses were dichotomized as 6 to 7 indicating high satisfaction versus <6. Patient variables including stroke severity (measured by the National Institutes of Health Stroke Scale) were obtained from study records. Generalized estimating equation models were used to determine what factors were associated with patient satisfaction. RESULTS: Over 18 months, 186 interviews were completed, and 142 (76%) reported high satisfaction with telestroke. Patients with more severe stroke were less likely to recall the consultation. Factors significantly associated with patient satisfaction were higher ratings of the technology (P<0.0001), telepresence (P<0.0001), provider communication ratings (P<0.0001), and overall Veterans Affairs satisfaction (P=0.02). In the multivariate model, telepresence (odds ratio, 3.10 [95% CI, 1.81-5.31]) and provider ratings (odds ratio, 2.37 [95% CI, 1.20-4.68]) were independently associated with satisfaction. Veterans who were satisfied were more likely to recommend the technology (P<0.0001). CONCLUSIONS: Provider qualities, including telepresence and provider ratings, were associated with overall Veteran satisfaction with the telestroke consultation. Technology quality may be necessary but not sufficient to impact patient experience. Training providers to improve telepresence could improve patient experience with telestroke consultation.

Development and Validation of a 30-Day In-hospital Mortality Model Among Seriously Ill Transferred Patients: a Retrospective Cohort Study.

BACKGROUND: Predicting the risk of in-hospital mortality on admission is challenging but essential for risk stratification of patient outcomes and designing an appropriate plan-of-care, especially among transferred patients. OBJECTIVE: Develop a model that uses administrative and clinical data within 24 h of transfer to predict 30-day in-hospital mortality at an Academic Health Center (AHC). DESIGN: Retrospective cohort study. We used 30 putative variables in a multiple logistic regression model in the full data set (n = 10,389) to identify 20 candidate variables obtained from the electronic medical record (EMR) within 24 h of admission that were associated with 30-day in-hospital mortality (p < 0.05). These 20 variables were tested using multiple logistic regression and area under the curve (AUC)-receiver operating characteristics (ROC) analysis to identify an optimal risk threshold score in a randomly split derivation sample (n = 5194) which was then examined in the validation sample (n = 5195). PARTICIPANTS: Ten thousand three hundred eighty-nine patients greater than 18 years transferred to the Indiana University (IU)-Adult Academic Health Center (AHC) between 1/1/2016 and 12/31/2017. MAIN MEASURES: Sensitivity, specificity, positive predictive value, C-statistic, and risk threshold score of the model. KEY RESULTS: The final model was strongly discriminative (C-statistic = 0.90) and had a good fit (Hosmer-Lemeshow goodness-of-fit test [X2 (8) =6.26, p = 0.62]). The positive predictive value for 30-day in-hospital death was 68%; AUC-ROC was 0.90 (95% confidence interval 0.89-0.92, p < 0.0001). We identified a risk threshold score of -2.19 that had a maximum sensitivity (79.87%) and specificity (85.24%) in the derivation and validation sample (sensitivity: 75.00%, specificity: 85.71%). In the validation sample, 34.40% (354/1029) of the patients above this threshold died compared to only 2.83% (118/4166) deaths below this threshold. CONCLUSION: This model can use EMR and administrative data within 24 h of transfer to predict the risk of 30-day in-hospital mortality with reasonable accuracy among seriously ill transferred patients.

Building cohesion in distributed telemedicine teams: findings from the Department of Veterans Affairs National Telestroke Program.

BACKGROUND: As telemedicine adoption increases, so does the importance of building cohesion among physicians in telemedicine teams. For example, in acute telestroke services, stroke specialists provide rapid remote stroke assessment and treatment to patients at hospitals without stroke specialty care. In the National Telestroke Program (NTSP) of the U.S. Department of Veterans Affairs, a virtual (distributed) hub of stroke specialists throughout the country provides 24/7 consultations nationwide. We examined how these specialists adapted to distributed teamwork, and we identified cohesion-related factors in program development and support. METHODS: We studied the virtual hub of stroke specialists employed by the NTSP. Semi-structured, confidential interviews with stroke specialists in the virtual hub were recorded and transcribed. We explored the extent to which these specialists had developed a sense of shared identity and team cohesion, and we identified factors in this development. Using a qualitative approach with constant comparison methods, two researchers coded each interview transcript independently using a shared codebook. We used matrix displays to identify themes, with special attention to team cohesion, communication, trust, and satisfaction. RESULTS: Of 13 specialists with at least 8 months of NTSP practice, 12 completed interviews; 7 had previously practiced in telestroke programs in other healthcare systems. Interviewees reported high levels of trust and team cohesion, sometimes even more with their virtual colleagues than with co-located colleagues. Factors facilitating perceived team cohesion included a weekly case conference call, a sense of transparency in discussing challenges, engagement in NTSP development tasks, and support from the NTSP leadership. Although lack of in-person contact was associated with lower cohesion, annual in-person NTSP meetings helped mitigate this issue. Despite technical challenges in establishing a new telehealth system within existing national infrastructure, providers reported high levels of satisfaction with the NTSP. CONCLUSION: A virtual telestroke hub can provide a sense of team cohesion among stroke specialists at a level comparable with a standard co-located practice. Engaging in transparent discussion of challenging cases, reviewing new clinical evidence, and contributing to program improvements may promote cohesion in distributed telemedicine teams.

Higher Monocyte Count is Associated with 30-Day Case Fatality in Intracerebral Hemorrhage.

BACKGROUND: Previous studies have suggested that elevated neutrophils, monocytes, and neutrophil-to-lymphocyte ratio (NLR) may be associated with poor outcomes in intracerebral hemorrhage (ICH). We sought to determine whether white blood cell (WBC) types were independently associated with poor outcome in ICH in a large cohort. METHODS: We performed a retrospective study of primary ICH at two academic centers. Cases were identified via ICD-9 code and verified via physician review. We included only those patients with WBC types obtained within 24 h of ICH onset. RESULTS: We identified 593 patients with primary ICH and WBC differentials in the first 24 h. Independent factors (OR, 95% CI) associated with 30-day case fatality were age > 80 (2.4 (1.4, 4.2)), p = 0.0023; NIHSS greater than median (3.9 (2.4, 6.3)), p < 0.0001; ICH volume quartiles (Q1: ref, Q2: 1.5 (0.7, 3.0), Q3: 3.2 (1.6, 6.6), Q4: 11.9 (5.3, 26.4)), p < 0.0001; non-lobar location (3.3 (1.9, 5.9)), p ≤ 0.0001; IVH (2.3 (1.4, 3.6)), p = 0.0005, monocytes greater than median (1.6 (1.0, 2.4)), p = 0.0457, and anticoagulant use (3.2 (1.8, 5.6)), p < 0.0001. Elevated NLR was not associated with higher case fatality. CONCLUSIONS: We found that elevated monocytes were independently associated with 30-day case fatality. Future studies will investigate whether there are subgroups of ICH patients, including those with particular blood or imaging biomarkers, in which WBC types might help predict poor outcome and provide targets for intervention.

The Role of Informed Consent for Thrombolysis in Acute Ischemic Stroke.

Although tissue plasminogen activator (tPA) is the only medication approved by the United States Food and Drug Administration (FDA) for acute ischemic stroke, there is no consensus about the need for informed consent for its use. As a result, hospitals throughout the U.S. have varying requirements regarding obtaining informed consent from patients for the use of tPA, ranging from no requirement for informed consent to a requirement for verbal or written informed consent. We conducted a study to (1) determine current beliefs about obtaining patients' informed consent for tPA among a large group of stroke clinicians and (2) identify the ethical, clinical, and organizational factors that influence tPA consent practices. Semi-structured interviews were conducted by trained and experienced investigators and research staff to identify key barriers to implementing acute stroke services. Part of the interview explored current beliefs and practices around informed consent for tPA. This was a multicenter study that included 38 Veterans Health Administration (VHA) hospital locations. Participants were 68 stroke team clinicians, serving primarily on the neurology (35 percent) or emergency medicine (41 percent) service. We conducted thematic analysis based on principles of grounded theory to identify codes about consent for tPA. We used interpretive convergence to ensure consistency among the individual investigators' codes and to ensure that all of the investigators agreed on coding and themes. We found that 38 percent of the stroke clinicians did not believe any form of consent was necessary for tPA, 47 percent thought that some form of consent was necessary, and 15 percent were unsure. Clinicians who believed tPA required informed consent were divided on whether consent should be written (40 percent) or verbal (60 percent). We identified three factors describing clinicians' attitudes about consent: (1) legal and policy factors, (2) ethical factors, and (3) medical factors. The lack of consensus regarding consent for tPA creates the potential for delays in treatment, uneasiness among clinicians, and legal liability. The identified factors provide a potential framework to guide discussions about developing a standard of care for acquiring the informed consent of patients for the administration of tPA.

Poststroke Depression: A Scientific Statement for Healthcare Professionals From the American Heart Association/American Stroke Association.

Poststroke depression (PSD) is common, affecting approximately one third of stroke survivors at any one time after stroke. Individuals with PSD are at a higher risk for suboptimal recovery, recurrent vascular events, poor quality of life, and mortality. Although PSD is prevalent, uncertainty remains regarding predisposing risk factors and optimal strategies for prevention and treatment. This is the first scientific statement from the American Heart Association on the topic of PSD. Members of the writing group were appointed by the American Heart Association Stroke Council's Scientific Statements Oversight Committee and the American Heart Association's Manuscript Oversight Committee. Members were assigned topics relevant to their areas of expertise and reviewed appropriate literature, references to published clinical and epidemiology studies, clinical and public health guidelines, authoritative statements, and expert opinion. This multispecialty statement provides a comprehensive review of the current evidence and gaps in current knowledge of the epidemiology, pathophysiology, outcomes, management, and prevention of PSD, and provides implications for clinical practice.

Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool.

In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff points around data-driven "optimal" cutoffs. We assessed selective cutoff reporting in studies of the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) depression screening tool. We compared conventional meta-analysis of published results only with individual-patient-data meta-analysis of results derived from all cutoff points, using data from 13 of 16 studies published during 2004-2009 that were included in a published conventional meta-analysis. For the "standard" PHQ-9 cutoff of 10, accuracy results had been published by 11 of the studies. For all other relevant cutoffs, 3-6 studies published accuracy results. For all cutoffs examined, specificity estimates in conventional and individual-patient-data meta-analyses were within 1% of each other. Sensitivity estimates were similar for the cutoff of 10 but differed by 5%-15% for other cutoffs. In samples where the PHQ-9 was poorly sensitive at the standard cutoff, authors tended to report results for lower cutoffs that yielded optimal results. When the PHQ-9 was highly sensitive, authors more often reported results for higher cutoffs. Consequently, in the conventional meta-analysis, sensitivity increased as cutoff severity increased across part of the cutoff range-an impossibility if all data are analyzed. In sum, selective reporting by primary study authors of only results from cutoffs that perform well in their study can bias accuracy estimates in meta-analyses of published results.

Diagnosing and managing sleep apnea in patients with chronic cerebrovascular disease: a randomized trial of a home-based strategy.

BACKGROUND: Obstructive sleep apnea is common and associated with poor outcomes after stroke or transient ischemic attack (TIA). We sought to determine whether the intervention strategy improved sleep apnea detection, obstructive sleep apnea (OSA) treatment, and hypertension control among patients with chronic cerebrovascular disease and hypertension. METHODS: In this randomized controlled strategy trial intervention, patients received unattended polysomnography at baseline, and patients with OSA (apnea-hypopnea index ≥5 events/h) received auto-titrating continuous positive airway pressure (CPAP) for up to 1 year. Control patients received usual care and unattended polysomnography at the end of the study, to identify undiagnosed OSA. Both groups received 24-h blood pressure assessments at baseline and end of the study. "Excellent" CPAP adherence was defined as cumulative use of ≥4 h/night for ≥70% of the nights. RESULTS: Among 225 randomized patients (115 control; 110 intervention), 61.9% (120/194) had sleep apnea. The strategy successfully diagnosed sleep apnea with 97.1% (102/105) valid studies; 90.6% (48/53, 95% CI 82.7-98.4%) of sleep apnea was undiagnosed among control patients. The intervention improved long-term excellent CPAP use: 38.6% (22/57) intervention versus 0% (0/2) control (p < 0.0001). The intervention did not improve hypertension control in this population with well-controlled baseline blood pressure: intervention, 132.7 mmHg (±standard deviation, 14.1) versus control, 133.8 mmHg (±14.0) (adjusted difference, -1.1 mmHg, 95% CI (-4.2, 2.0)), p = 0.48). CONCLUSIONS: Patients with cerebrovascular disease and hypertension have a high prevalence of OSA. The use of portable polysomnography, and auto-titrating CPAP in the patients' homes, improved both the diagnosis and the treatment for sleep apnea compared with usual care but did not lower blood pressure.

Prophylactic Anticonvulsants in Intracerebral Hemorrhage.

BACKGROUND AND PURPOSE: Prophylactic anticonvulsants are routinely prescribed in the acute setting for intracerebral hemorrhage (ICH) patients, but some studies have reported an association with worse outcomes. We sought to characterize the prevalence and predictors of prophylactic anticonvulsant administration after ICH as well as guideline adherence. We also sought to determine whether prophylactic anticonvulsants were independently associated with poor outcome. METHODS: We performed a retrospective study of primary ICH in our two academic centers. We used a propensity matching approach to make treated and non-treated groups comparable. We conducted multiple logistic regression analysis to identify independent predictors of prophylactic anticonvulsant initiation and its association with poor outcome as measured by modified Rankin score. RESULTS: We identified 610 patients with primary ICH, of whom 98 were started on prophylactic anticonvulsants. Levetiracetam (97%) was most commonly prescribed. Age (OR 0.97, 95% CI 0.95-0.99, p < .001), lobar location (OR 2.94, 95% CI 1.76-4.91, p < .001), higher initial National Institutes of Health Stroke Scale (NIHSS) score (OR 2.31, 95% CI 1.40-3.79, p = .001), craniotomy (OR 3.06, 95% CI 1.51-6.20, p = .002), and prior ICH (OR 2.36, 95% CI 1.10-5.07, p = .028) were independently associated with prophylactic anticonvulsant initiation. Prophylactic anticonvulsant use was not associated with worse functional outcome [modified Rankin score (mRS) 4-6] at hospital discharge or with increased case-fatality. There was no difference in prescribing patterns after 2010 guideline publication. DISCUSSION: Levetiracetam was routinely prescribed following ICH and was not associated with worse outcomes. Future investigations should examine the effect of prophylactic levetiracetam on cost and neuropsychological outcomes as well as the role of continuous EEG in identifying subclinical seizures.

Development, Validation, and Assessment of an Ischemic Stroke or Transient Ischemic Attack-Specific Prediction Tool for Obstructive Sleep Apnea.

BACKGROUND: Screening instruments for obstructive sleep apnea (OSA), as used routinely to guide clinicians regarding patient referral for polysomnography (PSG), rely heavily on symptomatology. We sought to develop and validate a cerebrovascular disease-specific OSA prediction model less reliant on symptomatology, and to compare its performance with commonly used screening instruments within a population with ischemic stroke or transient ischemic attack (TIA). METHODS: Using data on demographic factors, anthropometric measurements, medical history, stroke severity, sleep questionnaires, and PSG from 2 independently derived, multisite, randomized trials that enrolled patients with stroke or TIA, we developed and validated a model to predict the presence of OSA (i.e., Apnea-Hypopnea Index ≥5 events per hour). Model performance was compared with that of the Berlin Questionnaire, Epworth Sleepiness Scale (ESS), the Snoring, Tiredness, Observed apnea, high blood Pressure, Body mass index, Age, Neck circumference, and Gender instrument, and the Sleep Apnea Clinical Score. RESULTS: The new SLEEP Inventory (Sex, Left heart failure, ESS, Enlarged neck, weight [in Pounds], Insulin resistance/diabetes, and National Institutes of Health Stroke Scale) performed modestly better than other instruments in identifying patients with OSA, showing reasonable discrimination in the development (c-statistic .732) and validation (c-statistic .731) study populations, and having the highest negative predictive value of all in struments. CONCLUSIONS: Clinicians should be aware of these limitations in OSA screening instruments when making decisions about referral for PSG. The high negative predictive value of the SLEEP INventory may be useful in determining and prioritizing patients with stroke or TIA least in need of overnight PSG.

An International Standard Set of Patient-Centered Outcome Measures After Stroke.

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.

Validation of Stroke Meaningful Use Measures in a National Electronic Health Record System.

BACKGROUND: The Meaningful Use (MU) program has increased the national emphasis on electronic measurement of hospital quality. OBJECTIVE: To evaluate stroke MU and one VHA stroke electronic clinical quality measure (eCQM) in national VHA data and determine sources of error in using centralized electronic health record (EHR) data. DESIGN: Our study is a retrospective cross-sectional study of stroke quality measure eCQMs vs. chart review in a national EHR. We developed local SQL algorithms to generate the eCQMs, then modified them to run on VHA Central Data Warehouse (CDW) data. eCQM results were generated from CDW data in 2130 ischemic stroke admissions in 11 VHA hospitals. Local and CDW results were compared to chart review. MAIN MEASURES: We calculated the raw proportion of matching cases, sensitivity/specificity, and positive/negative predictive values (PPV/NPV) for the numerators and denominators of each eCQM. To assess overall agreement for each eCQM, we calculated a weighted kappa and prevalence-adjusted bias-adjusted kappa statistic for a three-level outcome: ineligible, eligible-passed, or eligible-failed. KEY RESULTS: In five eCQMs, the proportion of matched cases between CDW and chart ranged from 95.4 %-99.7 % (denominators) and 87.7 %-97.9 % (numerators). PPVs tended to be higher (range 96.8 %-100 % in CDW) with NPVs less stable and lower. Prevalence-adjusted bias-adjusted kappas for overall agreement ranged from 0.73-0.95. Common errors included difficulty in identifying: (1) mechanical VTE prophylaxis devices, (2) hospice and other specific discharge disposition, and (3) contraindications to receiving care processes. CONCLUSIONS: Stroke MU indicators can be relatively accurately generated from existing EHR systems (nearly 90 % match to chart review), but accuracy decreases slightly in central compared to local data sources. To improve stroke MU measure accuracy, EHRs should include standardized data elements for devices, discharge disposition (including hospice and comfort care status), and recording contraindications.

Observational Study of Obstructive Sleep Apnea in Wake-Up Stroke: The SLEEP TIGHT Study.

BACKGROUND: Wake-up stroke (WUS) accounts for a quarter of all ischemic strokes. Its conspicuous occurrence during sleep suggests that WUS may be associated with obstructive sleep apnea (OSA). We investigated the potential association among WUS, OSA, and measures of sympathetic hyperactivity. METHODS: This is a cross-sectional analysis of data from the Sleep Apnea in Transient Ischemic Attack and Stroke (SLEEP TIGHT) study. Ischemic stroke patients were divided into WUS and non-WUS groups. Participants underwent polysomnography and ambulatory blood pressure monitoring. Collected data included demographic, medical, stroke characteristics (including severity by National Institutes of Health Stroke Scale), cholesterol, serum catecholamines, C-reactive protein, interleukin-6, B-type natriuretic peptide, blood pressure, and polysomnographic (apnea-hypopnea index (AHI); measures of hypoxia). Because both stroke and OSA affect men and women to varying degrees, the cohort was considered as a whole and by gender stratification. RESULTS: Among 164 participants, 30.3% had WUS. The mean age was 62.0 ± 11.3 and the mean body mass index was 30.2 ± 7.9 kg/m2. One-hundred-and-five participants (63.6%) were males and 92 participants (56.8%) were Caucasian. Neither AHI nor OSA (AHI ≥5) frequency differed between WUS and non-WUS groups. Men tended to be more likely than women to have WUS (74.0 vs. 59.6%; p = 0.08), but this was not statistically significant. In gender-stratified analyses, men with WUS compared to men with non-WUS had significantly higher rates of severe OSA (AHI >30: 45.0 vs. 17.6%; p = 0.03) and tended toward more 3% oxygen desaturation events (57.0 ± 63.9 vs. 31.8 ± 22.9; p = 0.06). These differences were not seen in women. WUS patients tended to be of the male gender (74.0 vs. 59.6%; p = 0.08). History of stroke, hypertension, diabetes, dyslipidemia, or atrial fibrillation, serum catecholamines, and inflammatory biomarkers was no different between the groups. Low-density lipoprotein (LDL) was significantly higher in WUS (114.5 ± 36.3 vs. 101.4 ± 37.6; p = 0.04). Baseline diastolic blood pressure (DBP) was significantly greater in the WUS group. There was no difference in systolic or ambulatory blood pressure (including nighttime blood pressure) between WUS and non-WUS groups. CONCLUSIONS: WUS may be associated with severe OSA with more oxygen desaturation in men but not in women. WUS may be associated with high DBP and increased LDL cholesterol.

Effects of Self-esteem, Optimism, and Perceived Control on Depressive Symptoms in Stroke Survivor-Spouse Dyads.

BACKGROUND: Depressive symptoms are common in stroke survivors and their family caregivers. Given the interdependent relationship between the members of dyads in poststroke management, improving depressive symptoms in dyads may depend on their partner's characteristics. Self-esteem, optimism, and perceived control, all known to be associated with depressive symptoms in an individual, may also contribute to their partner's depressive symptoms. PURPOSE: The purpose of this study is to examine actor and partner effects of self-esteem, optimism, and perceived control on depression in stroke survivors and their spousal caregivers. METHODS: A total of 112 ischemic stroke survivors (78% white, 34% women; mean age, 62.5 ± 12.3 years) and their spouses (mean age, 60.6 ± 12.9 years) completed surveys in which depressive symptoms, self-esteem, optimism, and perceived control were assessed using the Patient Health Questionnaire, the Rosenberg Self-esteem Scale, the Revised Life Orientation Test, and the Sense of Control Scale. Multilevel modeling, actor-partner interdependence model regression was used to determine influences on depressive symptoms within the dyad. RESULTS: Individuals with lower self-esteem, optimism, and perceived control had higher levels of depressive symptoms. Stroke survivors whose spouses had lower levels of self-esteem (B = -0.338, P < .001) and optimism (B = -0.361, P < .027) tended to have higher levels of depressive symptoms. Spouses whose stroke survivors had lower levels of self-esteem (B = -0.047, P = .036) also had higher levels of depressive symptoms. CONCLUSION: We found significant partner effects of self-esteem on depression for both members and partner effect of optimism on patient's depressive symptoms. These findings suggest that further research is needed to determine if dyadic interventions may help to improve self-esteem, optimism, and depressive symptoms in both patients and their caregivers.

Using Radiological Data to Estimate Ischemic Stroke Severity.

BACKGROUND: Risk-adjusted poststroke mortality has been proposed for use as a measure of stroke care quality. Although valid measures of stroke severity (e.g., the National Institutes of Health Stroke Scale [NIHSS]) are not typically available in administrative datasets, radiology reports are often available within electronic health records. We sought to examine whether admission head computed tomography data could be used to estimate stroke severity. MATERIALS AND METHODS: Using chart review data from a cohort of acute ischemic stroke patients (1998-2003), we developed a radiographic measure ([BIS]) of stroke severity in a two-third development set and assessed in a one-third validation set. The retrospective NIHSS was dichotomized as mild/moderate (<10) and severe (≥10). We compared the association of this radiographic score with NIHSS and in-hospital mortality at the patient level. RESULTS: Among 1348 stroke patients, 86.5% had abnormal findings on initial head computed tomography. The c-statistic for the BIS for modeling severe stroke (development, .581; validation, .579) and in-hospital mortality (development, .623; validation, .678) were generated. CONCLUSIONS: Although the c-statistics were only moderate, the BIS provided significant risk stratification information with a 2-variable score. Until administrative data routinely includes a valid measure of stroke severity, radiographic data may provide information for use in risk adjustment.

Effect of clinical and social risk factors on hospital profiling for stroke readmission: a cohort study.

BACKGROUND: The Centers for Medicare & Medicaid Services (CMS) and Veterans Health Administration (VA) will report 30-day stroke readmission rates as a measure of hospital quality. A national debate on whether social risk factors should be included in models developed for hospital profiling is ongoing. OBJECTIVE: To compare a CMS-based model of 30-day readmission with a more comprehensive model that includes measures of social risk (such as homelessness) or clinical factors (such as stroke severity and functional status). DESIGN: Data from a retrospective cohort study were used to develop a CMS-based 30-day readmission model that included age and comorbid conditions based on codes from the International Classification of Diseases, Ninth Revision, Clinical Modification (model 1). This model was then compared with one that included administrative social risk factors (model 2). Finally, the CMS model (model 1) was compared with a model that included social risk and clinical factors from chart review (model 3). These 3 models were used to rank hospitals by 30-day risk-standardized readmission rates and examine facility rankings among the models. SETTING: Hospitals in the VA. PARTICIPANTS: Patients hospitalized with stroke in 2007. MEASUREMENTS: 30-day readmission rates. RESULTS: The 30-day readmission rate was 12.8%. The c-statistics for the 3 models were 0.636, 0.646, and 0.661, respectively. All hospitals were classified as performing "as expected" using all 3 models (that is, performance did not differ from the VA national average); therefore, the addition of detailed clinical information or social risk factors did not alter assessment of facility performance. LIMITATION: A predominantly male veteran cohort limits the generalizability of these findings. CONCLUSION: In the VA, more comprehensive models that included social risk and clinical factors did not affect hospital comparisons based on 30-day readmission rates. PRIMARY FUNDING SOURCE: U.S. Department of Veterans Affairs.