Impact of Poverty on Stroke Recurrence: A Population-Based Study.

BACKGROUND AND OBJECTIVES: Poverty is associated with greater stroke incidence. The relationship between poverty and stroke recurrence is less clear. METHODS: In this population-based study, incident strokes within the Greater Cincinnati/Northern Kentucky region were ascertained during the 2015 study period and followed up for recurrence until December 31, 2018. The primary exposure was neighborhood socioeconomic status (nSES), defined by the percentage of households below the federal poverty line in each census tract in 4 categories (≤5%, >5%-10%, >10%-25%, >25%). Poisson regression models provided recurrence rate estimates per 100,000 residents using population data from the 2015 5-year American Community Survey, adjusting for age, sex, and race. In a secondary analysis, Cox models allowed for the inclusion of vascular risk factors in the assessment of recurrence risk by nSES among those with incident stroke. RESULTS: Of 2,125 patients with incident stroke, 245 had a recurrent stroke during the study period. Poorer nSES was associated with increased stroke recurrence, with rates of 12.5, 17.5, 25.4, and 29.9 per 100,000 in census tracts with ≤5%, >5%-10%, >10%-25%, and >25% below the poverty line, respectively (p < 0.01). The relative risk (95% CI) for recurrent stroke among Black vs White individuals was 2.54 (1.91-3.37) before adjusting for nSES, and 2.00 (1.47-2.74) after adjusting for nSES, a 35.1% decrease. In the secondary analysis, poorer nSES (HR 1.74, 95% CI 1.10-2.76 for lowest vs highest category) and Black race (HR 1.31, 95% CI 1.01-1.70) were both independently associated with recurrence risk, though neither retained significance after full adjustment. Age, diabetes, and left ventricular hypertrophy were associated with increased recurrence risk in fully adjusted models. DISCUSSION: Residents of poorer neighborhoods had a dose-dependent increase in stroke recurrence risk, and neighborhood poverty accounted for approximately one-third of the excess risk among Black individuals. These results highlight the importance of poverty, race, and the intersection of the 2 as potent drivers of stroke recurrence.

Left Ventricular Noncompaction Cardiomyopathy as a Potential Cause of Bilateral Posterior Cerebral Artery Stroke - a Rare and Unique Clinical Occurrence.

BACKGROUND Bilateral posterior cerebral artery (PCA) occlusions are exceedingly rare, and are considered a devastating phenomenon that presents as cortical blindness. Predominant causes of PCA infarcts include cardiac and arterial embolisms. Left ventricular noncompaction (LVNC) cardiomyopathy is also an extremely rare cardiopathology. Several reports describe stroke as a potential manifestation of LVNC, but bilateral PCA infarcts are likely also caused by underlying LVNC cardiomyopathy, although this has not yet been reported. CASE REPORT A 63-year-old man presented to the emergency department of an outside hospital with acute vision loss in both eyes and dysarthria. His neurological examination necessitated an emergent stroke evaluation. His electrocardiogram and telemetry at admission did not reveal arrhythmia. He underwent an emergency endovascular thrombectomy at our facility. During the post-intervention stroke workup, a transthoracic echocardiogram with contrast showed left ventricle dilation, with an ejection fraction (EF) of 29%. Subsequent cardiac magnetic resonance imaging confirmed the presence of LVNC cardiomyopathy. He was started on therapeutic anticoagulation (apixaban) and remained stable neurologically during the 3-month followup, with some residual visual field deficits. His cardiac outcome also improved (stress test was unremarkable for any cardiac ischemia, and an echocardiogram showing improved EF of 40%). CONCLUSIONS Our report is distinct, as it presents 2 exceedingly rare events in a patient: the occurrence of simultaneous bilateral PCA infarcts and LVNC cardiomyopathy. Prompt and accurate diagnosis was pivotal to the successful management of both conditions. Prospective studies are warranted to further knowledge of LVNC pathophysiology and the occurrence of stroke in such patients so that comprehensive management plans can be devised.

Association of Early Postoperative Pain Trajectories With Longer-term Pain Outcome After Primary Total Knee Arthroplasty.

Importance: Studies to date have not comprehensively examined pain experience after total knee arthroplasty (TKA). Discrete patterns of pain in this period might be associated with pain outcomes at 6 to 12 months after TKA. Objectives: To examine patterns of individual post-TKA pain trajectories and to assess their independent associations with longer-term pain outcome after TKA. Design, Setting, and Participants: This prospective cohort study combined data from a national US TKA cohort with ancillary pain severity data at 2 weeks and 8 weeks after the index TKA using a numeric rating scale. All participants received primary, unilateral TKA within the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR) national network of community sites in 22 states or at the lead site (University of Massachusetts Medical School). Participants had a date of surgery between May 1, 2013, and December 1, 2014. The data analysis was performed between January 13, 2015, and July 5, 2016. Exposures: Pain trajectories in the postoperative period (8 weeks). Main Outcomes and Measures: Index knee pain at 6 months after TKA using the Knee Injury and Osteoarthritis Outcome Score (KOOS) pain scale. Group-based trajectory methods examined the presence of pain trajectories in the postoperative period (8 weeks) and assessed whether trajectories were independently associated with longer-term pain (6 months). Results: The cohort included 659 patients who underwent primary TKA with complete data at 4 points (preoperative, 2 weeks, 8 weeks, and 26 weeks). Their mean (SD) age was 67.1 (8.0) years, 64.5% (425 of 659) were female, the mean (SD) body mass index (calculated as weight in kilograms divided by height in meters squared) was 30.77 (5.66), 94.5% (613 of 649) were white, and the mean (SD) preoperative 36-Item Short Form Health Survey physical component summary and mental component summary scores were 34.1 (8.2) and 53.8 (11.4), respectively. Two pain trajectory subgroups were identified at 8 weeks after TKA: patients who experienced fast pain relief in the first 8 weeks after TKA (fast pain responders, composing 72.4% [477 of 659] of the sample) and patients who did not (slow pain responders, composing 27.6% [182 of 659] of the sample). After adjusting for patient factors, the pain trajectory at 8 weeks after TKA was independently associated with the mean KOOS pain score at 6 months, with a between-trajectory difference of -11.3 (95% CI, -13.9 to -8.7). Conclusions and Relevance: The trajectory among slow pain responders at 8 weeks after surgery was independently associated with improved but greater persistent index knee pain at 6 months after TKA compared with that among fast pain responders. Early identification of patients with a trajectory of slow pain response at 8 weeks after TKA may offer an opportunity for interventions in the perioperative period to potentially improve the long-term pain outcomes after TKA.

Neighborhood Socioeconomic Status Predicts Health After Hospitalization for Acute Coronary Syndromes: Findings From TRACE-CORE (Transitions, Risks, and Actions in Coronary Events-Center for Outcomes Research and Education).

OBJECTIVE: To explore the influence of contextual factors on health-related quality of life (HRQoL), which is sometimes used as an indicator of quality of care, we examined the association of neighborhood socioeconomic status (NSES) and trajectories of HRQoL after hospitalization for acute coronary syndromes (ACS). METHODS: We studied 1481 patients hospitalized with acute coronary syndromes in Massachusetts and Georgia querying HRQoL via the mental and physical components of the 36-item short-form health survey (SF-36) (MCS and PCS) and the physical limitations and angina-related HRQoL subscales of the Seattle Angina Questionnaire (SAQ) during hospitalization and at 1-, 3-, and 6-month postdischarge. We categorized participants by tertiles of the neighborhood deprivation index (a residence-census tract-based measure) to examine the association of NSES with trajectories of HRQoL after adjusting for individual socioeconomic status (SES) and clinical characteristics. RESULTS: Participants had mean age 61.3 (SD, 11.4) years; 33% were female; 76%, non-Hispanic white; 11.2% had household income below the federal poverty level. During 6 months postdischarge, living in lower NSES neighborhoods was associated with lower mean PCS scores (1.5 points for intermediate NSES; 1.8 for low) and SAQ scores (2.4 and 4.2 points) versus living in high NSES neighborhoods. NSES was more consequential for patients with lower individual SES. Individuals living below the federal poverty level had lower average MCS and SAQ physical scores (3.7 and 7.7 points, respectively) than those above. CONCLUSIONS: Neighborhood deprivation was associated with worse health status. Using HRQoL to assess quality of care without accounting for individual SES and NSES may unfairly penalize safety-net hospitals.

Index of cardiometabolic health: a new method of measuring allostatic load using electronic health records.

OBJECTIVE: We developed a measure of allostatic load from electronic medical records (EMRs), which we named "Index of Cardiometabolic Health" (ICMH). METHODS: Data were collected from participants' EMRs and a written survey in 2005. We computed allostatic load scores using the ICMH score and two previously described approaches. RESULTS: We included 1865 employed adults who were 25-59 years old. Although the magnitude of the association was small, all methods of were predictive of SF-12 physical component subscales (all p < 0.001). CONCLUSION: We found that the ICMH had similar relationships with health-related quality of life as previously reported in the literature.

Hyperspectral Imaging for Burn Depth Assessment in an Animal Model.

UNLABELLED: Differentiating between superficial and deep-dermal (DD) burns remains challenging. Superficial-dermal burns heal with conservative treatment; DD burns often require excision and skin grafting. Decision of surgical treatment is often delayed until burn depth is definitively identified. This study's aim is to assess the ability of hyperspectral imaging (HSI) to differentiate burn depth. METHODS: Thermal injury of graded severity was generated on the dorsum of hairless mice with a heated brass rod. Perfusion and oxygenation parameters of injured skin were measured with HSI, a noninvasive method of diffuse reflectance spectroscopy, at 2 minutes, 1, 24, 48 and 72 hours after wounding. Burn depth was measured histologically in 12 mice from each burn group (n = 72) at 72 hours. RESULTS: Three levels of burn depth were verified histologically: intermediate-dermal (ID), DD, and full-thickness. At 24 hours post injury, total hemoglobin (tHb) increased by 67% and 16% in ID and DD burns, respectively. In contrast, tHb decreased to 36% of its original levels in full-thickness burns. Differences in deoxygenated and tHb among all groups were significant (P < 0.001) at 24 hours post injury. CONCLUSIONS: HSI was able to differentiate among 3 discrete levels of burn injury. This is likely because of its correlation with skin perfusion: superficial burn injury causes an inflammatory response and increased perfusion to the burn site, whereas deeper burns destroy the dermal microvasculature and a decrease in perfusion follows. This study supports further investigation of HSI in early burn depth assessment.

Weight-based discrimination and medication adherence among low-income African Americans with hypertension: how much of the association is mediated by self-efficacy?

OBJECTIVES: Much of the excessive morbidity and mortality from cardiovascular disease among African Americans results from low adherence to anti-hypertensive medications. Therefore, we examined the association between weight-based discrimination and medication adherence. METHODS: We used cross-sectional data from low-income African Americans with hypertension. Ordinal logistic regression estimated the odds of medication non-adherence in relation to weight-based discrimination adjusted for age, sex, education, income, and weight. RESULTS: Of all participants (n = 780), the mean (SD) age was 53.7 (9.9) years and the mean (SD) weight was 210.1 (52.8) lbs. Reports of weight-based discrimination were frequent (28.2%). Weight-based discrimination (but not weight itself) was associated with medication non-adherence (OR: 1.94; 95% CI: 1.41-2.67). A substantial portion 38.9% (95% CI: 19.0%-79.0%) of the association between weight-based discrimination and medication non-adherence was mediated by medication self-efficacy. CONCLUSION: Self-efficacy is a potential explanatory factor for the association between reported weight-based discrimination and medication non-adherence. Future research should develop and test interventions to prevent weight-based discrimination at the societal, provider, and institutional levels.

MyRisk_Stroke Calculator: A Personalized Stroke Risk Assessment Tool for the General Population.

BACKGROUND AND PURPOSE: There is a variety of stroke risk factors, and engaging individuals in reducing their own personal risk is hugely relevant and could be an optimal dissemination strategy. The aim of the present study was to estimate the stroke risk for specific combinations of health- and lifestyle-related factors, and to develop a personalized stroke-risk assessment tool for health professionals and the general population (called the MyRisk_Stroke Calculator). METHODS: This population-based, longitudinal study followed a historical cohort formed from the 1992 or 1998 Santé Québec Health Surveys with information for linkage to health administrative databases. Stroke risk factors were ascertained at the time of survey, and stroke was determined from hospitalizations and death records. Cox proportional hazards models were used, modeling time to stroke in relationship to all variables. RESULTS: A total of 358 strokes occurred among a cohort of 17805 persons (men=8181) who were followed for approximately 11 years (i.e., -200000 person-years). The following regression parameters were used to produce 10-year stroke-risk estimates and assign risk points: for age (1 point/year after age 20 years), male sex (3 points), low education (4 points), renal disease (8 points), diabetes (7 points), congestive heart failure (5 points), peripheral arterial disease (2 points), high blood pressure (2 points), ischemic heart disease (1 point), smoking (8 points), >7 alcoholic drinks per week (3 points), low physical activity (2 points), and indicators of anger (4 points), depression (4 points), and anxiety (3 points). According to MyRisk_Stroke Calculator, a person with <50, 75, and 90 risk points has a 10-year stroke risk of <3%, 28%, and >75%, respectively. CONCLUSIONS: The MyRisk_Stroke Calculator is a simple method of disseminating information to the general population about their stroke risk.