The influence of race on outcome following subarachnoid hemorrhage

Socioeconomic Drivers of Outcomes After Aneurysmal Subarachnoid Hemorrhage Treatment at a Large Comprehensive Stroke Center

BACKGROUND

Sparse data exist on socioeconomic disparities among patients treated for aneurysmal subarachnoid hemorrhage (aSAH). The authors analyzed factors possibly influencing patient outcomes, including having a primary care physician (PCP) at admission, family/caregiver support, a foreign language barrier, primary payer status, and race.

METHODS

Socioeconomic data were abstracted for patients treated endovascularly or microsurgically for aSAH at a single center (January 1, 2014-July 31, 2019). Binary logistic regression analyses were used to identify independent predictors of an unfavorable outcome (modified Rankin Scale [mRS] score >2) and for predictive modeling.

RESULTS

Among 422 patients, the median (interquartile range) follow-up was 2 (1-23) months. Lack of caregiver support was the only socioeconomic factor associated with an unfavorable outcome at discharge. Independent predictors of mRS score >2 at last follow-up included baseline markers of disease severity (P ≤ 0.03), nonwhite race (OR, 1.69; P = 0.047), lack of caregiver support (OR, 5.55; P = 0.007), and lack of a PCP (OR, 1.96; P = 0.007). Adjusting for follow-up mediated the effects of race and PCP, although caregiver support remained significant and PCP was associated with a lower mortality risk independent of follow-up (OR, 0.51; P = 0.047). Predischarge socioeconomic factors, alongside disease severity, predicted a follow-up mRS score >2 with excellent discrimination (area under the receiver operating curve, 0.81; 95% CI, 0.77-0.86).

CONCLUSIONS

At a large, urban, comprehensive stroke center, patients with PCPs, caregiver support, and white race had significantly better long-term outcomes after aSAH. These results reflect disparities in access to healthcare after aSAH for vulnerable populations with extensive lifetime needs.

Predictors of In-Hospital Mortality and Home Discharge in Patients with Aneurysmal Subarachnoid Hemorrhage: A 4-Year Retrospective Analysis

BACKGROUND

Factors associated with discharge disposition and mortality following aneurysmal subarachnoid hemorrhage (aSAH) are not well-characterized. We used a national all-payer database to identify factors associated with home discharge and in-hospital mortality.

METHODS

The National Inpatient Sample was queried for patients with aSAH within a 4-year range. Weighted multivariable logistic regression models were constructed and adjusted for age, sex, race, household income, insurance status, comorbidity burden, National Inpatient Sample SAH Severity Score, disease severity, treatment modality, in-hospital complications, and hospital characteristics (size, teaching status, and region).

RESULTS

Our sample included 37,965 patients: 33,605 were discharged alive and 14,350 were discharged home. Black patients had lower odds of in-hospital mortality compared with White patients (adjusted odds ratio [aOR] = 0.67, 95% confidence interval [CI] 0.52-0.86, p = 0.002). Compared with patients with private insurance, those with Medicare were less likely to have a home discharge (aOR = 0.58, 95% CI 0.46-0.74, p < 0.001), whereas those with self-pay (aOR = 2.97, 95% CI 2.29-3.86, p < 0.001) and no charge (aOR = 3.21, 95% CI 1.57-6.55, p = 0.001) were more likely to have a home discharge. Household income percentile was not associated with discharge disposition or in-hospital mortality. Paradoxically, increased number of Elixhauser comorbidities was associated with significantly lower odds of in-hospital mortality.

CONCLUSIONS

We demonstrate independent associations with hospital characteristics, patient characteristics, and treatment characteristics as related to discharge disposition and in-hospital mortality following aSAH, adjusted for disease severity.

Genome-Wide Association Study of Clinical Outcome After Aneurysmal Subarachnoid Haemorrhage: Protocol

Aneurysmal subarachnoid haemorrhage (aSAH) results in persistent clinical deficits which prevent survivors from returning to normal daily functioning. Only a small fraction of the variation in clinical outcome following aSAH is explained by known clinical, demographic and imaging variables; meaning additional unknown factors must play a key role in clinical outcome. There is a growing body of evidence that genetic variation is important in determining outcome following aSAH. Understanding genetic determinants of outcome will help to improve prognostic modelling, stratify patients in clinical trials and target novel strategies to treat this devastating disease. This protocol details a two-stage genome-wide association study to identify susceptibility loci for clinical outcome after aSAH using individual patient-level data from multiple international cohorts. Clinical outcome will be assessed using the modified Rankin Scale or Glasgow Outcome Scale at 1–24 months. The stage 1 discovery will involve meta-analysis of individual-level genotypes from different cohorts, controlling for key covariates. Based on statistical significance, supplemented by biological relevance, top single nucleotide polymorphisms will be selected for replication at stage 2. The study has national and local ethical approval. The results of this study will be rapidly communicated to clinicians, researchers and patients through open-access publication(s), presentation(s) at international conferences and via our patient and public network.

Disparities in the Surgical Treatment of Cerebrovascular Pathologies: A Contemporary Systematic Review

INTRODUCTION

This systematic review analyzes contemporary literature on racial/ethnic, insurance, and socioeconomic disparities within cerebrovascular surgery in the United States to determine areas for improvement.

METHODS

We conducted an electronic database search of literature published between January 1990 and July 2020 using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for studies analyzing a racial/ethnic, insurance, or socioeconomic disparity within adult cerebrovascular surgery.

RESULTS

Of 2873 articles screened for eligibility by title and abstract, 970 underwent full-text independent review by 3 authors. Twenty-seven additional articles were identified through references to generate a final list of 47 included studies for analysis. Forty-six were retrospective reviews and 1 was a prospective observational cohort study, thereby comprising Levels III and IV of evidence. Studies investigated carotid artery stenting (11/47, 23%), carotid endarterectomy (22/47, 46.8%), mechanical thrombectomy (8/47, 17%), and endovascular aneurysm coiling or surgical aneurysm clipping (20/47, 42.6%). Minority and underinsured patients were less likely to receive surgical treatment. Non-White patients were more likely to experience a postoperative complication, although this significance was lost in some studies using multivariate analyses to account for complication risk factors. White and privately insured patients generally experienced shorter length of hospital stay, had lower rates of in-hospital mortality, and underwent routine discharge. Twenty-five papers (53%) reported no disparities within at least one examined metric.

CONCLUSIONS

This comprehensive contemporary systematic review demonstrates the existence of disparity gaps within the field of adult cerebrovascular surgery. It highlights the importance of continued investigation into sources of disparity and efforts to promote equity within the field.

The effects of socioeconomic status on stroke risk and outcomes

The latest evidence on socioeconomic status and stroke shows that stroke not only disproportionately affects low-income and middle-income countries, but also socioeconomically deprived populations within high-income countries. These disparities are reflected not only in risk of stroke but also in short-term and long-term outcomes after stroke. Increased average levels of conventional risk factors (eg, hypertension, hyperlipidaemia, excessive alcohol intake, smoking, obesity, and sedentary lifestyle) in populations with low socioeconomic status account for about half of these effects. In many countries, evidence shows that people with lower socioeconomic status are less likely to receive good-quality acute hospital and rehabilitation care than people with higher socioeconomic status. For clinical practice, better implementation of well established treatments, effective management of risk factors, and equity of access to high-quality acute stroke care and rehabilitation will probably reduce inequality substantially. Overcoming barriers and adapting evidence-based interventions to different countries and health-care settings remains a research priority.

Predictor's of Mortality in Patients with Aneurysmal Subarachnoid Haemorrhage and Reebleding

Methods. “Ameijeiras Brother's” and “Cmdt. Manuel Fajardo” Hospitals enrolled 64 patients (multicentre retrospective cohort) with aneurysmal subarachnoid haemorrhage and rebleeding. The patients were admitted to the Stroke Unit (SU) between January 1, 2006, and December 1, 2013. Demographic, clinical, and radiological variables were examined in logistic regression to evaluate independent factors for increasing the risk of death. Results. Patients with systolic blood pressure >160 mmHg (P = 0.02), serum glucose >7 mmol/L (P = 0.02), aneurysm location in artery communicant anterior (P = 0.03), and black/mixed race (P = 0.008) were significant related to death in univariate analysis. Risk factors (HTA, smoke, alcohol consumption, and DM), complication, multiplex rebleeding and stage of WFNS, and Fisher's scale were not related to mortality. Patients with three or more complications had a higher mortality rate (P = 0.002). The results of the multivariate logistic regression analysis indicated that race (black/mixed, P = 0.00, OR 4.62, and 95% IC 1.40–16.26), systolic blood pressure (>160 mmHg, P = 0.05, OR 2.54, and 95% IC 1.01–3.13), and serum glucose (>7.0 mmol/L, P = 0.05, OR 1.82, and 95% IC 1.27–2.67) were independent risk factors for death. Conclusions. The black/mixed race, SBP, and serum glucose were independent predictors of mortality. Three or more complications were associated with increasing the probability to death. Further investigation is necessary to validate these findings.

Racial/ethnic differences in inpatient mortality and use of institutional postacute care following subarachnoid hemorrhage

Object

The goal of this study was to determine racial/ethnic differences in inpatient mortality rates and the use of institutional postacute care following subarachnoid hemorrhage (SAH) in the US.

Methods

A cross-sectional study of hospital discharges for SAH was conducted using the Nationwide Inpatient Sample for the years 2005–2010. Discharges with a principal diagnosis of SAH were identified and abstracted using the appropriate ICD-9-CM diagnostic code. Racial/ethnic groups were defined as white, black, Hispanic, Asian/Pacific Islander (API), and American Indian. Multinomial logistic regression analyses were performed comparing racial/ethnic groups with respect to the primary outcome of risk of in-hospital mortality and the secondary outcome of likelihood of discharge to institutional care.

Results

During the study period, 31,631 discharges were related to SAH. Race/ethnicity was a significant predictor of death (p = 0.003) and discharge to institutional care (p ≤ 0.001). In the adjusted analysis, compared with white patients, API patients were at higher risk of death (OR 1.34, 95% CI 1.13–1.59) and Hispanic patients were at lower risk of death (OR 0.84, 95% CI 0.72–0.97). The likelihood of discharge to institutional care was statistically similar between white, Hispanic, API, and Native American patients. Black patients were more likely to be discharged to institutional care compared with white patients (OR 1.27, 95% CI 1.14–1.40), but were similar to white patients in the risk of death.

Conclusions

Significant racial/ethnic differences are present in the risk of inpatient mortality and discharge to institutional care among patients with SAH in the US. Outcome is likely to be poor among API patients and best among Hispanic patients compared with other groups.

Prevalence, timing, risk factors, and mechanisms of anterior cerebral artery infarctions following subarachnoid hemorrhage

Anterior cerebral artery (ACA) ischemia may be underdiagnosed following subarachnoid hemorrhage (SAH). The purpose of this study is to characterize the prevalence, timing, and risk factors for ACA infarction, following primary spontaneous SAH. This was a retrospective study of consecutive SAH patients. Final admission CT scans were reviewed for the presence of ACA infarction, and prior scans serially reviewed to determine timing of infarct. Infarctions were categorized as any, early (days 0-3), late (days 4-15), or perioperative (2 days after aneurysm treatment). Demographic and clinical variables were statistically interrogated to identify predictors of infarct types. Of the 474 study patients, ACA infarctions occurred in 8 % of patients, with 42 % occurring during the early period. Multivariate logistic regression identified H/H grade 4/5 (p < 0.001), ACA/ACom aneurysm location (p < 0.001), and surgical clipping (p = 0.011) as independent predictors of any ACA infarct. In Cox hazards analysis, H/H grade 4/5 (p < 0.001), CT score 3/4 (p = 0.042), ACA/ACom aneurysm location (p < 0.001), and surgical clipping (p = 0.012) independently predicted any ACA infarct. Bivariate logistic regression identified non-Caucasian race (p = 0.032), H/H grade 3/4 (p < 0.001), CT score 3/4 (p = 0.006), IVH (p = 0.027), and ACA/ACom aneurysm (p = 0.001) as predictors of early infarct (EI). Late infarct (LI) was predicted by H/H grade 4/5 (p = 0.040), ACA/ACom aneurysm (p < 0.001), and vasospasm (p = 0.027), while postoperative infarct (PI) was predicted by surgical clipping (p = 0.044). Log-rank analyses confirmed non-Caucasian race (p = 0.024), H/H grade 3/4 (p < 0.001), CT score 3/4 (p = 0.003), IVH (p = 0.010), and ACA/ACom aneurysm (p < 0.001) as predictors of EI. LI was predicted by ACA/ACom aneurysm (p < 0.001) while surgical clipping (p = 0.046) again predicted PI. Clinical severity/grade and ACA/ACom aneurysm location are the most consistent predictors of ACA infarctions. Vasospastic and non-vasospastic processes may concurrently contribute to ACA infarcts.