Outcomes after acute ischemic stroke in the United States: does residential ZIP code matter?

Disparities in Emergency Medical Services Use, Prehospital Notification, and Symptom Onset to Arrival in Patients With Acute Stroke

BACKGROUND

Disparities in time to hospital presentation and prehospital stroke care may be important drivers in inequities in acute stroke treatment rates, functional outcomes, and mortality. It is unknown how patient-level factors, such as race and ethnicity and county-level socioeconomic status, affect these aspects of prehospital stroke care.

METHODS

Cross-sectional study of patients with ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage in the Get With the Guidelines-Stroke registry, presenting from July 2015 to December 2019, with symptom onset ≤24 hours. Multivariable logistic regression and quantile regression were used to investigate the outcomes of interest: emergency medical services (EMS) transport (versus private vehicle), EMS prehospital notification (versus no prehospital notification), and stroke symptom onset to time of arrival at the emergency department. Prespecified covariates included patient-level, hospital-level, and county-level characteristics.

RESULTS

The inclusion criteria was met by the 606 369 patients. Of the patients, 51.2% were men and 69.9% White, with a median National Institutes of Health Stroke Severity of 4 (IQR, 2-10), and median social deprivation index (SDI) of 51 (IQR, 27-75). Median symptom onset to arrival time was 176 minutes (IQR, 64-565). Black race was significantly associated with prolonged symptom onset to emergency department arrival time (+28.21 minutes [95% CI, 25.59-30.84]), and decreased odds of EMS prehospital notification (OR, 0.80 [95% CI, 0.78-0.82]). SDI was not associated with differences in EMS use but was associated with lower odds of EMS prehospital notification (upper SDI tercile versus lowest, OR, 0.79 [95% CI, 0.78-0.81]). SDI was also significantly associated with stroke symptom onset to emergency department arrival time (upper SDI tercile versus lowest +2.56 minutes [95% CI, 0.58-4.53]).

CONCLUSIONS

In this national cross-sectional study, Black race was associated with prolonged symptom onset to time of arrival intervals and significantly decreased odds of EMS prehospital notification, despite similar use of EMS transport. Greater county-level deprivation was also associated with reduced odds of EMS prehospital notification and slightly prolonged stroke symptom onset to emergency department arrival time. Efforts to reduce place-based disparities in stroke care must address significant inequities in prehospital care of acute stroke and continue to address health inequities associated with race and ethnicity.

Longitudinal changes in the US emergency department use of advanced neuroimaging in the mechanical thrombectomy era

PURPOSE

To describe ED neuroimaging trends across the time-period spanning the early adoption of endovascular therapy for acute stroke (2013-2018).

MATERIALS AND METHODS

We performed a retrospective, cross-sectional study of ED visits using the 2013-2018 National Emergency Department Sample, a 20% sample of ED encounters in the United States. Neuroimaging use was determined by Common Procedural Terminology (CPT) code for non-contrast head CT (NCCT), CT angiography head (CTA), CT perfusion (CTP), and MRI brain (MRI) in non-admitted ED patients. Data was analyzed according to sampling weights and imaging rates were calculated per 100,000 ED visits. Multivariate logistic regression analysis was performed to identify hospital-level factors associated with imaging utilization.

RESULTS

Study population comprised 571,935,906 weighted adult ED encounters. Image utilization increased between 2013 and 2018 for all modalities studied, although more pronounced in CTA (80.24/100,000 ED visits to 448.26/100,000 ED visits (p < 0.001)) and CTP (1.75/100,000 ED visits to 28.04/100,000 ED visits p < 0.001)). Regression analysis revealed that teaching hospitals were associated with higher odds of high CTA utilization (OR 1.88 for 2018, p < 0.05), while low-volume EDs and public hospitals showed the reverse (OR 0.39 in 2018, p < 0.05).

CONCLUSIONS

We identified substantial increases in overall neuroimaging use in a national sample of non-admitted emergency department encounters between 2013 and 2018 with variability in utilization according to both patient and hospital properties. Further investigation into the appropriateness of this imaging is required to ensure that access to acute stroke treatment is balanced against the timing and cost of over-imaging.

Predictors of Outcomes in Cerebellar Stroke: A Retrospective Cohort Study From the National Inpatient Sample Data

Cerebellar strokes have high morbidity and mortality due to bleeding or edema, leading to increased pressure in the posterior fossa. This retrospective cohort study analyzed three outcomes following a cerebellar stroke: in-hospital mortality, length of hospital stay, and total hospitalization costs. It uses data from the National Inpatient Sample (NIS) and aims to identify the predictors of outcomes in cerebellar stroke patients, including 464,324 patients, 18 years of age and older, hospitalized between 2010 and 2015 in US hospitals with cerebellar strokes. In our study, for every decade age increased beyond 59 years, there was a significant increase in mortality; those aged 80+ years had 5.65 odds of mortality (95% CI: 5.32-6.00; P < 0.0001). Significant differences in patient characteristics were observed between patients who survived to discharge and those who did not, including older age (77.4 vs. 70.3 years; P < 0.0001), female sex (58% vs. 52%; P < 0.0001), and being transferred from another healthcare facility (17% vs. 10%; P < 0.0001). Patients admitted directly rather than through the emergency department were more likely to die (29% vs. 16%; P < 0.0001). The mortality rate was lower for blacks (OR: 0.75; P < 0.0001), Hispanics (OR: 0.91; P = 0.005), and Asians (OR: 0.89; P = 0.03), as compared to the white population, for females in comparison to males, and geographically, in all other areas (Midwest, South, and West) in contrast to the Northeast. Cerebellar stroke incidence and high mortality were seen in the traditional stroke belt. Mortality is also affected by the severity of the disease and increases with the Charlson Comorbidity Index (CCI), All Patient Refined Diagnosis Related Groups (APR-DRG) scores, and indirectly by place of receiving care, length of stay (LOS), cost of stay, type of insurance, and emergency department admissions. LOS increased with age, in males in the Northeast, and was less in whites compared to other races. Trend analysis showed a decrease in LOS and costs from 2010 to 2015. Increased costs were seen in non-whites, males, higher household income based on zip code, being covered under Medicaid, transfers, CCI ≥ 5, and discharges in the western US. Median household income based on the patient's zip code was well-balanced between those who lived and those who died (P = 0.091). However, payers were not evenly distributed between the two groups (P < 0.0001 for the overall comparison). A higher proportion of discharges associated with in-hospital mortality were covered under Medicare (70% vs. 65% in the died vs. lived groups, respectively). Fewer discharges were associated with death if they were covered by commercial insurance or paid for out-of-pocket (15% vs. 19% for commercial insurance and 3% vs. 5% for out-of-pocket). In-hospital mortality was associated with a longer length of hospital stay (5.6 days vs. 4.5 days; P < 0.0001) and higher costs ($16,815 vs. $11,859; P < 0.0001). Variables that were significantly associated with lower total costs were older age, having commercial insurance, paying out-of-pocket or other payers, not being admitted through the emergency department, having a lower comorbidity index (CCI = 1-2), and being discharged from a hospital that was small- or medium-sized, located in the Midwest or South, and/or was non-teaching (rural or urban).

Insurance Not Socioeconomic Status is Associated With Access to Postacute Care After Injury: A Multicenter Cohort Study

INTRODUCTION

Access to postacute care services in rehabilitation or skilled nursing facilities is essential to return trauma patients to their preinjury functional level but is often hindered by systemic barriers. We sought to study the association between the type of insurance, socioeconomic status (SES) measures, and postacute care utilization after injury.

METHODS

Adult trauma patients with an Injury Severity Score (ISS) ≥9 admitted to one of three Level I trauma centers were contacted 6-12 mo after injury to gather long-term functional and patient-centered outcome measures. In addition to SES inquiry specifically focused on education and income levels, patients were asked to subjectively categorize their perceived SES (p-SES) as high, mid-high, mid-low, or low. Insurance and income data were retrieved from trauma registries. Multivariable regression models were built to determine the association between type of insurance, SES, and discharge disposition after adjusting for patient and injury characteristics and hospitalization events.

RESULTS

A total of 1373 patients were included, of which 44% were discharged to postacute care facilities. The median age (IQR) was 65 (46, 76) years, 56% of patients were male, 11% were on Medicaid, 68% had attained education higher than high school, 27% had low income, and 29% reported a low/mid-low p-SES. Medicaid patients were less likely to be discharged to postacute care compared to privately insured (OR [95% CI]: 0.41 [0.29-0.58]) and Medicare patients (OR [95% CI]: 0.29 [0.16-0.50]). The latter relationship was true across p-SES categories. P-SES, income and educational level were not associated with discharge destination.

CONCLUSIONS

Insurance status, specifically having Medicaid, can pose a barrier to access to postacute care services in the trauma patient population across patients of all SES. Initiatives and policies that aim at reducing these access disparities are warranted.

Comorbidity clusters and in-hospital outcomes in patients admitted with acute myocardial infarction in the USA: A national population-based study

BACKGROUND

The prevalence of multimorbidity in patients with acute myocardial infarction (AMI) is increasing. It is unclear whether comorbidities cluster into distinct phenogroups and whether are associated with clinical trajectories.

METHODS

Survey-weighted analysis of the United States Nationwide Inpatient Sample (NIS) for patients admitted with a primary diagnosis of AMI in 2018. In-hospital outcomes included mortality, stroke, bleeding, and coronary revascularisation. Latent class analysis of 21 chronic conditions was used to identify comorbidity classes. Multivariable logistic and linear regressions were fitted for associations between comorbidity classes and outcomes.

RESULTS

Among 416,655 AMI admissions included in the analysis, mean (±SD) age was 67 (±13) years, 38% were females, and 76% White ethnicity. Overall, hypertension, coronary heart disease (CHD), dyslipidaemia, and diabetes were common comorbidities, but each of the identified five classes (C) included ≥1 predominant comorbidities defining distinct phenogroups: cancer/coagulopathy/liver disease class (C1); least burdened (C2); CHD/dyslipidaemia (largest/referent group, (C3)); pulmonary/valvular/peripheral vascular disease (C4); diabetes/kidney disease/heart failure class (C5). Odds ratio (95% confidence interval [CI]) for mortality ranged between 2.11 (1.89-2.37) in C2 to 5.57 (4.99-6.21) in C1. For major bleeding, OR for C1 was 4.48 (3.78; 5.31); for acute stroke, ORs ranged between 0.75 (0.60; 0.94) in C2 to 2.76 (2.27; 3.35) in C1; for coronary revascularization, ORs ranged between 0.34 (0.32; 0.36) in C1 to 1.41 (1.30; 1.53) in C4.

CONCLUSIONS

We identified distinct comorbidity phenogroups that predicted in-hospital outcomes in patients admitted with AMI. Some conditions overlapped across classes, driven by the high comorbidity burden. Our findings demonstrate the predictive value and potential clinical utility of identifying patients with AMI with specific comorbidity clustering.

Lower socioeconomic status is not associated with severity of adolescent idiopathic scoliosis: a matched cohort analysis

PURPOSE

Assessing the influence of socioeconomic status (SES) on the severity of adolescent idiopathic scoliosis (AIS) on initial presentation to the spinal surgeon remains a challenge. The area deprivation index (ADI) is a validated measure of SES that abstracts multiple domains of disadvantage into a single score. We hypothesized that patients with low SES (high ADI) present to the orthopedic clinic with more advanced curve pathology.

METHODS

We retrospectively reviewed patients diagnosed with AIS. Subjects were assigned ADI scores based on Zip codes. Matched cohorts of high and low ADI were generated using propensity scores. Bivariate and multivariate analyses were performed to identify factors impacting the magnitude of the curve at presentation.

RESULTS

A total of 425 patients with appropriate imaging were included. After matching, the study population was 69.2% female and 92.3% Black. The mean BMI percentile was 61.9. Medicaid covered 57.3% of subjects, and 42.7% had commercial insurance. The mean ADI was 55.5. The mean Cobb angle at presentation was 33.6 degrees. Cobb angle was significantly greater among female patients (36.0 degrees vs 28.0) and among patients with greater BMI percentile (β = 0.127), but was not significantly associated with ADI, race, or insurance type. ADI was not associated with the rate of surgery.

CONCLUSION

ADI is not predictive of curve severity in pediatric patients presenting to the clinic for AIS. Female sex and BMI are independently associated with advanced curvature. Public health workers, primary care providers, and surgeons should remain aware of the complex interactions of socioeconomic factors, BMI and sex when addressing barriers to timely care.

LEVEL OF EVIDENCE

Prognostic Level III.

Impact of areal socioeconomic status on prehospital delay of acute ischaemic stroke: retrospective cohort study from a prefecture-wide survey in Japan

OBJECTIVES

To examine whether the Areal Deprivation Index (ADI), an indicator of the socioeconomic status of the community the patient resides in, is associated with delayed arrival at the hospital and poor outcomes in patients with acute ischaemic stroke from a prefecture-wide stroke database in Japan.

DESIGN

Retrospective study.

SETTING

Twenty-nine acute stroke hospitals in Kochi prefecture, Japan.

PARTICIPANTS

Nine thousand and six hundred fifty-one patients with acute ischaemic stroke who were urgently hospitalised, identified using the Kochi Acute Stroke Survey of Onset registry. Capital and non-capital areas were analysed separately.

PRIMARY AND SECONDARY OUTCOME MEASURES

Prehospital delay defined as hospital arrival ≥4-hour after stroke onset, poor hospital outcomes (in-hospital mortality and discharge to a nursing facility) and the opportunities of intravenous recombinant tissue plasminogen activator (rt-PA) and endovascular reperfusion therapy.

RESULTS

In the overall cohort, prehospital delay was observed in 6373 (66%) patients. Among individuals residing in non-capital areas, those living in municipalities with higher ADI (more deprived) carried a significantly higher risk of prehospital delay (per one-point increase, OR (95% CI) 1.45 (1.26 to 1.66)) by multivariable logistic regression analysis. In-hospital mortality (1.45 (1.02 to 2.06)), discharge to a nursing facility (1.31 (1.03 to 1.66)), and delayed candidate arrival ≥2-hour of intravenous rt-PA (2.04 (1.30 to 3.26)) and endovascular reperfusion therapy (2.27 (1.06 to 5.00)), were more likely to be observed in the deprived areas with higher ADI. In the capital areas, postal-code-ADI was not associated with prehospital delay (0.97 (0.66 to 1.41)).

CONCLUSIONS

Living in socioeconomically disadvantaged municipalities was associated with prehospital delays of acute ischaemic stroke in non-capital areas in Kochi prefecture, Japan. Poorer outcomes of those patients may be caused by delayed treatment of intravenous rt-PA and endovascular reperfusion therapy. Further studies are necessary to determine social risk factors in the capital areas.

TRIAL REGISTRATION NUMBER

This article is linked to a clinical trial to UMIN000050189, No.: R000057166 and relates to its Result stage.

Use of Community-Engaged Research Approaches in Clinical Interventions for Neurologic Disorders in the United States: A Scoping Review and Future Directions for Improving Health Equity Research

BACKGROUND AND OBJECTIVES

Evidence suggests a significant prevalence of race and ethnic disparities in the United States among people with neurologic conditions including stroke, Alzheimer disease and related dementia (ADRD), Parkinson disease (PD), epilepsy, spinal cord injury (SCI), and traumatic brain injury (TBI). Recent neurologic research has begun the paradigm shift from observational health disparities research to intervention research in an effort to narrow the disparities gap. There is an evidence base that suggests that community engagement is a necessary component of health equity. While the increase in disparities focused neurologic interventions is encouraging, it remains unclear whether and how community-engaged practices are integrated into intervention design and implementation. The purpose of this scoping review was to identify and synthesize intervention studies that have actively engaged with the community in the design and implementation of interventions to reduce disparities in neurologic conditions and to describe the common community engagement processes used.

METHODS

Two databases, PubMed and CINAHL, were searched to identify eligible empirical studies within the United States whose focus was on neurologic interventions addressing disparities and using community engagement practices.

RESULTS

We identified 392 disparity-focused interventions in stroke, ADRD, PD, epilepsy, SCI, and TBI, of which 53 studies incorporated community engagement practices: 32 stroke studies, 15 ADRD, 2 epilepsy studies, 2 PD studies, 1 SCI study, and 1 TBI study. Most of the interventions were designed as randomized controlled trials and were programmatic in nature. The interventions used a variety of community engagement practices: community partners (42%), culturally tailored materials and mobile health (40%), community health workers (32%), faith-based organizations and local businesses (28%), focus groups/health need assessments (25%), community advisory boards (19%), personnel recruited from the community/champions (19%), and caregiver/social support (15%).

DISCUSSION

Our scoping review reports that the proportion of neurologic intervention studies incorporating community engagement practices is limited and that the practices used within those studies are varied. The major practices used included collaboration with community partners and utilization of culturally tailored materials. We also found inconsistent reporting and dissemination of results from studies that implemented community engagement measures in their interventions. Future directions include involving the community in research early and continuously, building curricula that address challenges to community engagement, prioritizing the inclusion of community engagement reporting in peer-reviewed journals, and prioritizing and incentivizing research of subpopulations that experience disparities in neurologic conditions.

Socioeconomic Inequalities in Functional Outcome After Reperfusion-Treated Ischemic Stroke

BACKGROUND

We aimed to investigate whether socioeconomic status (SES) was associated with functional outcome in patients with ischemic stroke treated with reperfusion therapy (intravenous thrombolysis and/or thrombectomy).

METHODS

This nationwide cohort study included reperfusion-treated patients with ischemic stroke ≥18 years registered in the Danish Stroke Registry between 2015 and 2018. Functional outcome was determined by the modified Rankin Scale score 90 days after stroke. SES was defined by educational attainment, family income, and employment status before stroke. SES data were available from Statistics Denmark and linked on the individual level with data from the Danish Stroke Registry. Uni- and multivariable ordinal logistic regression was performed for each socioeconomic parameter individually (education, income, and employment) to estimate the common odds ratios (cORs) for lower 90-day modified Rankin Scale scores.

RESULTS

A total of 5666 patients were included. Mean age was 68.7 years (95% CI, 68.3-69.0), and 38.4% were female. Low SES was associated with lower odds for achieving lower 90-day modified Rankin Scale score: Low versus high education, cOR, 0.69 (95% CI, 0.61-0.79), low versus high income, cOR, 0.59 (95% CI, 0.53-0.67), and unemployed versus employed, cOR, 0.70 (95% CI, 0.58-0.83). Inequalities were reduced after adjusting for age, sex, and immigrant status, except for unemployed versus employed patients, adjusted cOR, 0.66 (95% CI, 0.54-0.80). No statistically significant differences remained after adjusting for potentially mediating variables (eg, stroke severity, prestroke modified Rankin Scale, and smoking).

CONCLUSIONS

Socioeconomic inequalities were observed in functional outcome after reperfusion treated ischemic stroke. In particular, prestroke unemployment was negatively associated with good functional outcome. A more adverse prognostic profile among patients with low SES appeared to explain the majority of these inequalities.

Risk Factors, Presentation, and Outcome in Acute Stroke according to Social Position Indicators in Patients Hospitalised in a Referral Centre in Bogotá 2011-2019

INTRODUCTION

Treatment of stroke is time-dependent and it challenges patients' social and demographic context for timely consultation and effective access to reperfusion therapies.

OBJECTIVE

The objective of this study was to relate indicators of social position to cardiovascular risk factors, time of arrival, access to reperfusion therapy, and mortality in the setting of acute stroke.

METHODS

A retrospective analysis of patients with a diagnosis of ischaemic stroke in a referral hospital in Bogotá was performed. A simple random sample with a 5% margin of error and 95% confidence interval was selected. Patients were characterised according to educational level, place of origin, marital status, occupation, duration of symptoms before consultation, cardiovascular risk factors, access to reperfusion therapy, and mortality during hospitalisation.

RESULTS

558 patients were included with a slight predominance of women. Diagnosis of diabetes was more common in women and smoking in men (n = 68, 28.4% vs. n = 51, 15.9%; p = 0.0004). Rural origin was associated with higher prevalence of hypertension, diabetes, and dyslipidaemia (hypertension n = 45, 73.8% vs. n = 282, 57.4%; p = 0.007; diabetes n = 20, 33.3% vs. 109, 19.5%; p = 0.02; dyslipidaemia n = 19, 32.7% vs. n = 93, 18.9%; p = 0.02). Mortality was higher in rural patients (n = 8, 14.2% vs. n = 30, 6.1%; p = 0.03). Lower schooling was associated with higher frequency of hypertension and dyslipidaemia (hypertension n = 152, 76.0% vs. n = 94, 46.3%; p ≤ 0.0001; dyslipidaemia n = 56, 28% vs. n = 35, 17.0%; p = 0.009) as well as with late consultation (n = 30, 15% vs. n = 59, 28.7%; p = 0.0011) and lower probability of accessing reperfusion therapy (n = 12, 6% vs. n = 45, 22%; p ≤ 0.0001). Formal employment was associated with a visit to the emergency department in less than 3 h (n = 50, 25.2% vs. n = 58, 18%, p = 0.04 and a higher probability of accessing reperfusion therapy (n = 35, 17.6% vs. n = 33, 10.2%; p = 0.01). Finally, living in a household with a stratum higher than 3 was associated with a consultation before 3 h (n = 77, 25.5% vs. n = 39, 15.6%; p = 0.004) and a higher probability of reperfusion therapy (n = 57, 18.9% vs. n = 13, 5.2%; p ≤ 0.0001).

CONCLUSION

Indicators of socio-economic status are related to mortality, consultation time, and access to reperfusion therapy. Mortality and reperfusion therapy are inequitably distributed and, therefore, more attention needs to be directed to the cause of these disparities in order to reduce the access gap in the context of acute stroke in Bogotá.

Patients from distressed communities are more likely to be symptomatic at endovascular aneurysm repair and have an increased risk of being lost to long-term follow-up

BACKGROUND

Endovascular aortic aneurysm repair (EVAR) has become the preferred modality to repair abdominal aortic aneurysms (AAAs). However, the effect of the distressed communities index (DCI) on the outcomes of EVAR is still unknown. In the present study, we investigated the effect of DCI on the postoperative outcomes after EVAR.

METHODS

The Society for Vascular Surgery Vascular Quality Initiative database was used for the present study. Patients who had undergone EVAR from 2003 to 2021 were selected for analysis. The study cohort was divided into two groups according to their DCI score. Patients with DCI scores ranging from 61 to 100 were assigned to group I (DCI >60), and those with DCI scores ranging from 0 to 60 were assigned to group II (DCI ≤60). The primary outcomes included the 30-day and 1-year mortality and major adverse cardiovascular events at 30 days. Regression analyses were performed to study the postoperative outcomes. P values ≤ .05 were deemed statistically significant for all analyses in the present study.

RESULTS

A total of 60,972 patients (19.5% female; 80.5% male) had undergone EVAR from 2003 to 2021. Of these patients, 18,549 were in group I (30.4%) and 42,423 in group II (69.6%). The mean age of the study cohort was 73 ± 8.9 years. Group I tended to be younger (mean age, 72.6 vs 73.7 years), underweight (3.5% vs 2.5%), and African American (10.8% vs 3.5%) and were more likely to have Medicaid insurance (3.6% vs 1.9%; P < .05 for all). Group I had had more smokers (87.3% vs 85.3%), a higher rate of comorbidities, including hypertension (84.5% vs 82.9%), diabetes (21.7% vs 19.7%), coronary artery disease (30.3% vs 28.6%), chronic obstructive pulmonary disease (36.9% vs 31.8%), and moderate to severe congestive heart failure (2.6% vs 2%; P < .05 for all). The group I patients were more likely to undergo EVAR for symptomatic AAAs (11.1% vs 7.9%; P < .001; adjusted odds ratio [aOR], 1.25; 95% confidence interval [CI], 1.15-1.37; P < .001) with a higher risk of mortality at 30 days (aOR, 3.98; 95% CI, 2.23-5.44; P < .001) and 1 year (aOR, 1.74; 95% CI, 1.43-2.13; P < .001). A higher risk of being lost to follow-up (28.9% vs 26.3%; P < .001) was also observed in group I.

CONCLUSIONS

Patients from distressed communities who require EVAR tended to have multiple comorbidities. These patients were also more likely to be treated for symptomatic AAAs, with a higher risk of mortality. An increased incidence of lost to long-term follow-up was also observed for this population. Surgeons and healthcare systems should consider these outcomes and institute patient-centered approaches to ensure equitable healthcare.

Machine Learning Approach to Predict In-Hospital Mortality in Patients Admitted for Peripheral Artery Disease in the United States

Background Peripheral artery disease (PAD) affects >10 million people in the United States. PAD is associated with poor outcomes, including premature death. Machine learning (ML) has been increasingly used on big data to predict clinical outcomes. This study aims to develop ML models to predict in-hospital mortality in patients hospitalized for PAD based on a national database. Methods and Results Inpatient hospitalization data were obtained from the 2016 to 2019 National Inpatient Sample. A total of 150 921 inpatients were identified with a primary diagnosis of PAD and PAD-related procedures using codes of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) and International Classification of Diseases, Tenth Revision, Procedure Coding System (ICD-10-PCS). Four ML models, including logistic regression, random forest, light gradient boosting, and extreme gradient boosting models, were trained to predict the risk of in-hospital death based on a selection of variables, including patient characteristics, comorbidities, procedures, and hospital-related factors. In-hospital mortality occurred in 1.8% of patients. The performance of the 4 models was comparable, with the area under the receiver operating characteristic curve ranging from 0.83 to 0.85, sensitivity of 77% to 82%, and specificity of 72% to 75%. These results suggest adequate predictability for clinical decision-making. In all 4 models, the total number of diagnoses and procedures, age, endovascular revascularization procedure, congestive heart failure, diabetes, and diabetes with complications were critical predictors of in-hospital mortality. Conclusions This study demonstrates the feasibility of ML in predicting in-hospital mortality in patients with a primary PAD diagnosis. Findings highlight the potential of ML models in identifying high-risk patients for poor outcomes and guiding personalized intervention.

Utility of the AM-PAC "6 Clicks" Basic Mobility and Daily Activity Short Forms to Determine Discharge Destination in an Acute Stroke Population

IMPORTANCE

The American Heart Association and American Stroke Association recommend early identification of level of rehabilitative care as a priority after stroke.

OBJECTIVE

To evaluate the utility of the Activity Measure for Post-Acute Care (AM-PAC) "6 Clicks" Daily Activity and Basic Mobility forms to determine the next level of rehabilitation after hospitalization for adults with stroke.

DESIGN

Retrospective cohort design using medical records from 2015 to 2016.

SETTING

Major urban hospital.

PARTICIPANTS

Patients admitted to the stroke service, with a confirmed stroke, who were seen by a physical or occupational therapist; who had a 6 Clicks Basic Mobility or Daily Activity score at initial evaluation; and who were discharged to home, an acute inpatient rehabilitation facility (IRF), or a subacute skilled nursing facility (SNF).

OUTCOMES AND MEASURES

Length of stay and discharge destination.

RESULTS

Seven hundred four participants (M age = 68.28 yr; 51.21% female) were included. Analysis of variance and receiver operating characteristic curves were performed. Daily Activity scores were highest for home discharge, lower for IRF discharge, and lowest for SNF discharge; Basic Mobility showed a similar pattern. Cutoff values distinguishing home from further inpatient rehabilitation were 44.50 for Basic Mobility and 39.40 for Daily Activity scores (area under the curve [AUC] = .82 for both forms), with scores of 34.59 (AUC = 0.64) and 31.32 (AUC = 0.67) separating IRF from SNF, respectively.

CONCLUSIONS AND RELEVANCE

Therapists should incorporate 6 Clicks scores into their discharge planning. What This Article Adds: This research demonstrates the utility of an outcome measure in the acute care setting that assists in planning discharge destination for patients with stroke.

Socioeconomic Inequalities in Reperfusion Therapy for Acute Ischemic Stroke

BACKGROUND

Reperfusion therapies (thrombolysis and thrombectomy) are of paramount importance for the recovery after ischemic stroke. We aimed to investigate if socioeconomic status (SES) was associated with the chance of receiving reperfusion therapy for ischemic stroke in a country with tax-funded health care.

METHODS

This nationwide register-based cohort study included patients with ischemic stroke registered in the Danish Stroke Registry between 2015 and 2018. SES was determined by prestroke educational attainment, income level, and employment status. Data on SES was obtained from Statistics Denmark and linked on an individual level with data from the Danish Stroke Registry. Risk ratios (RR) for receiving reperfusion therapies were calculated using univariate and multivariable Poisson regression with robust variance.

RESULTS

A total of 37 187 ischemic stroke patients were included. Low SES, as defined by education, income and employment status, was associated with lower treatment rates. The socioeconomic gradient was most pronounced according to employment status, with intravenous thrombolysis rates of 23.7% versus 15.8%, and thrombectomy rates of 5.1% versus 2.8% for employed versus unemployed patients. When the analyses were restricted to patients with timely hospital arrival, and adjusted for age, sex and immigrant status, low SES according to income and employment remained unfavorable for the likelihood of receiving intravenous thrombolysis: adjusted RR, 0.90 (95% CI, 0.86-0.95) for low versus high income, and adjusted RR, 0.77 (95% CI, 0.71-0.84) for unemployed versus employed patients. Similarly, low SES according to income and employment status remained unfavorable for the likelihood of receiving thrombectomy: adjusted RR, 0.83 (95% CI, 0.72-0.95) for low versus high income and adjusted RR, 0.68 (95% CI, 0.53-0.88) for unemployed versus employed patients.

CONCLUSIONS

Socioeconomic inequalities in reperfusion treatment rates among ischemic stroke patients prevail, even in a country with tax-funded universal health care.

Association of material deprivation with discharge location and length of stay after inpatient stroke rehabilitation in Ontario: a retrospective, population-based cohort study

BACKGROUND

Low socioeconomic status is associated with increased risk of stroke and worse poststroke functional status. The aim of this study was to determine whether socioeconomic status, as measured by material deprivation, is associated with direct discharge to long-term care or length of stay after inpatient stroke rehabilitation.

METHODS

We performed a retrospective, population-based cohort study of people admitted to inpatient rehabilitation in Ontario, Canada, after stroke. Community-dwelling adults (aged 19-100 yr) discharged from acute care with a most responsible diagnosis of stroke between Sept. 1, 2012, and Aug. 31, 2017, and subsequently admitted to an inpatient rehabilitation bed were included. We used a multivariable logistic regression model to examine the association between material deprivation quintile (from the Ontario Marginalization Index) and discharge to long-term care, and a multivariable negative binomial regression model to examine the association between material deprivation quintile and rehabilitation length of stay.

RESULTS

A total of 18 736 people were included. There was no association between material deprivation and direct discharge to long-term care (most v. least deprived: odds ratio [OR] 1.07, 95% confidence interval [CI] 0.89-1.28); however, people living in the most deprived areas had a mean length of stay 1.7 days longer than that of people in the least deprived areas (p = 0.004). This difference was not significant after adjustment for other baseline differences (relative change in mean 1.02, 95% CI 0.99-1.04).

INTERPRETATION

People admitted to inpatient stroke rehabilitation in Ontario had similar discharge destinations and lengths of stay regardless of their socioeconomic status. In future studies, investigators should consider further examining the associations of material deprivation with upstream factors as well as potential mitigation strategies.

Creation and Validation of a Stroke Scale to Increase Utility of National Inpatient Sample Administrative Data for Clinical Stroke Research

INTRODUCTION

The National Inpatient Sample (NIS) has led to several breakthroughs via large sample size. However, utility of NIS is limited by the lack of admission NIHSS and 90-day modified Rankin score (mRS). This study creates estimates for stroke severity at admission and 90-day mRS using NIS data for acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT).

METHODS

Three patient cohorts undergoing MT for AIS were utilized: Cohort 1 (N = 3729) and Cohort 3 (N = 1642) were derived from NIS data. Cohort 2 (N=293) was derived from a prospectively-maintained clinical registry. Using Cohort 1, Administrative Stroke Outcome Variable (ASOV) was created using disposition and mortality. Factors reflective of stroke severity were entered into a stepwise logistic regression predicting poor ASOV. Odds ratios were used to create the Administrative Data Stroke Scale (ADSS). Performances of ADSS and ASOV were tested using Cohort 2 and compared with admission NIHSS and 90-day mRS, respectively. ADSS performance was compared with All Patient Refined-Diagnosis Related Group (APR-DRG) severity score using Cohort 3.

RESULTS

Agreement of ASOV with 90-day mRS > 2 was fair (κ = 0.473). Agreement with 90-day mRS > 3 was substantial (κ = 0.687). ADSS significantly correlated (p < 0.001) with clinically-significant admission NIHSS > 15. ADSS performed comparably (AUC = 0.749) to admission NIHSS (AUC = 0.697) in predicting 90-day mRS > 2 and mRS > 3 (AUC = 0.767, 0.685, respectively). ADSS outperformed APR-DRG severity score in predicting poor ASOV (AUC = 0.698, 0.682, respectively).

CONCLUSION

We developed and validated measures of stroke severity at admission (ADSS) and outcome (ASOV, estimate for 90-day mRS > 3) to increase utility of NIS data in stroke research.

Neighborhood Socioeconomic Status and Mechanical Thrombectomy Outcomes

BACKGROUND/PURPOSE

Our study aimed to assess the impacts of neighborhood socioeconomic status on mechanical thrombectomy (MT) outcomes for acute ischemic stroke (AIS).

METHODS

We conducted a prospective observational study of consecutive adult AIS patients treated with MT at one US comprehensive stroke center from 2012 to 2018. A composite neighborhood socioeconomic score (nSES) was created using patient home address, median household income, percentage of households with interest, dividend, or rental income, median value of housing units, percentage of persons 25 or older with high school degrees, college degrees or holding executive, managerial or professional specialty occupations. Using this score, patients were divided into low, middle and high nSES tertiles. Outcomes included 90-day functional independence, in-hospital mortality, length of hospital stay, discharge location, time to recanalization, successful recanalization, and symptomatic intracranial hemorrhage (sICH).

RESULTS

328 patients were included. Between the three nSES groups, proportion of White patients, time-to-recanalization and admission NIH stroke scale differed significantly (p<0.05). Patients in the high nSES tertile were more likely to be functionally dependent at 90 days (unadjusted OR, 95% CI, 1.91 [1.10, 3.36]) and were less likely to die in the hospital (unadjusted OR, 95% CI, 0.46, [0.20, 0.98]). Further, patients in the high nSES tertile had decreased times to recanalization (median time in minutes, low=335, mid=368, high=297, p=0.04). However, after adjusting for variance in race and severity of stroke, the differences in clinical outcomes were not significant.

CONCLUSION

This study highlights how unadjusted neighborhood socioeconomic status is significantly associated with functional outcome, mortality, and time-to-recanalization following MT for AIS. Since adjustment modifies the significant association, the socioeconomic differences may be influenced by differences in pre-hospital factors that drive severity of stroke and time to recanalization. Better understanding of the interplay of these factors may lead to timelier evaluation and improvement in patient outcomes.

Does race matter in universal healthcare? Stroke cost and outcomes in US military health care

Introduction: It is well documented in the US civilian healthcare system that race is correlated with different outcomes for ischemic stroke patients. That healthcare system has wide variations in access to and quality of care. In contrast, the US military healthcare system (MHS) a universal healthcare system where every member has access to the same healthcare benefits. Do racial disparities evident in the civilian healthcare system transfer to the MHS? Methods: Data was collected from the MHS Military Mart (M2) database from calendar years 2010 through 2015. All adult patients with a primary diagnosis of ischemic stroke upon discharge were reviewed. Race was compared across primary outcomes of: (1) IV tPA administration and (2) Disposition destination 'poor disposition destination or in-hospital mortality'. And secondary outcomes of: (1) Total cost of hospitalization and (2) Length of hospital stay. Relevant demographic and co-morbidities were adjusted with regression analysis. Results: A total of 3623 patients met this study's parameters. Race was identified in 2661 (73.5%) admissions. Racial composition of this patient sample was: White 1767 (48.8%), African Americans 619 (17.1%), Asian 275 (7.6%), Other or Unknown 962 (26.5%). There was no correlation between race and administration of IV tPA, poor disposition destination or in-hospital mortality. There was a correlation between African Americans and increased cost of hospitalization. This finding was correlated with costs for radiological studies but was not correlated with any increase in the length of stay. Conclusion: Racial disparities evident in the civilian healthcare system do not appear to transfer the universal healthcare system represented by the MHS. Universal healthcare mitigates racial disparities in ischemic stroke admissions.

Social determinants of health and outcomes of ventral hernia repair in a safety-net hospital setting

PURPOSE

Lower socioeconomic status has been shown to be predictive of poorer surgical outcomes in ventral hernia repair. Recently, safety-net hospitals have been attempting to address these disparities to improve the care of patients of lower socioeconomic status.

METHODS

A query of all patients undergoing ventral hernia repair at our institution between 2010 and 2019 was completed (n = 580). Patients not from identifiable New Jersey ZIP-codes were excluded (n = 572). ZIP codes were assigned quartiles based off socioeconomic variables including median household income, percent below poverty line, and high school graduation rate. Patients were then assigned to socioeconomic status quartiles based off their residential ZIP-code. Outcomes of ventral hernia surgery were compared across ZIP-code quartiles. Logistic regression was used to analyze predictors of poor outcomes.

RESULTS

Patients from lower socioeconomic brackets were more likely to be younger (p < 0.001), female (p = 0.014), black (p < 0.001), and/or Hispanic (p = 0.003). Most notably, outcomes of ventral hernia were not significantly different between patients of different socioeconomic status ZIP-code quartiles. The risk of any post-operative morbidity was higher for longer procedures (p < 0.001) and for hernia repairs being done with other procedures (p < 0.001). Risk of prolonged length of stay and related 30-day readmission was higher with longer procedures (p < 0.001 and p = 0.003, respectively).

CONCLUSION

We found that outcomes of ventral hernia repair at a safety-net hospital were unaffected by socioeconomic status. This supports the important role that safety-net institutions play in providing quality care to their vulnerable populations. Future studies at other safety-net hospitals should be done to further assess the updated impact of socioeconomic status on ventral hernia outcomes.

Lower education and income predict worse long-term outcomes after injury

BACKGROUND

Lower socioeconomic status (SES) is known to be associated with higher morbidity and mortality following injury. However, the impact of individual SES on long-term outcomes after trauma is unknown. The objective of this study was to determine the impact of educational level and income on long-term outcomes after injury.

METHODS

Trauma patients with moderate to severe injuries admitted to three Level-I trauma centers were contacted 6 months to 12 months after injury to evaluate functional status, return to work/school, chronic pain, and posttraumatic stress disorder (PTSD). Lower SES status was determined by educational level and income. Adjusted logistic regression models were built to determine the association between educational level and income (lowest vs. highest quartile determined by census-tract area) on each of the long-term outcomes. A sensitivity analysis was performed using the national median household income ($57,617) as threshold for defining low versus high income.

RESULTS

A total of 1,516 patients were followed during a 36-month period. Forty-nine percent had a low educational level, and 26% were categorized in the low-income group. Mean (SD) age and injury severity score were 60 (21.5) and 14.3 (7.3), respectively, with most patients (94%) having blunt injuries. After adjusting for confounders, low educational level was associated with poor long-term outcomes: functional limitation [odds ratio (OR), 1.78 (95% confidence interval (CI), 1.41-2.26)], has not yet returned to work/school [OR, 2.48 (95% CI, 1.70-3.62)], chronic pain [OR, 1.63 (95% CI, 1.27-2.10)], and PTSD [OR, 2.23 (95% CI, 1.60-3.11)]. Similarly, low-income level was associated with not yet return to work/school [OR, 1.97 (95% CI, 1.09-3.56)], chronic pain [OR,1.70 (95% CI, 1.14-2.53)], and PTSD [OR, 2.20 (95% CI, 1.21-3.98)]. In sensitivity analyses, there were no significant differences in long-term outcomes between income levels.

CONCLUSION

Low educational level is strongly associated with worse long-term outcomes after injury. However, although household income is associated with long-term outcomes, it matters where the threshold is. The impact of different socioeconomic measures on long-term outcomes after trauma cannot be assumed to be interchangeable.

LEVEL OF EVIDENCE

Prognostic and epidemiological, level III.

Factors Associated with Inpatient Mortality after Intracerebral Hemorrhage: Updated Information from the United States Nationwide Inpatient Sample

BACKGROUND

To use a nationwide database of hospital admissions to assess for trends in inpatient mortality from acute spontaneous intracerebral hemorrhage as well as associated potentially contributing factors.

METHODS

Adults with intracerebral hemorrhage in the US National Inpatient Sample database from 2012 to 2015 were included in this study. We assessed for mortality rate as well as potential impact of various comorbidities and demographic factors such as ethnicity and median house hold income on inpatient mortality rate.

RESULTS

A total of 47,700 patients were identified with a mean age of 68 years. The overall mortality rate was 24%. Hypertension was the commonest comorbidity (84%) followed by diabetes mellitus (28%). Positive associated factors for mortality rate were coagulopathy (OR 1.28, 95% CI 1.19-1.38, P < .001), female gender (OR 1.12, 95% CI 1.08-1.17, P < .001), and congestive heart failure (OR 1.16, 95% CI 1.08-1.24, P < .001). Age greater than 75 was also associated with higher mortality (P < .001). Factors associated with reduced mortality were hypertension (OR .76, 95% CI .72-0.81, P < .001), hypothyroidism (OR .87, 95% CI .81-.93, P < .001) and obesity (OR .64, 95% CI .59-.69, P < .001).

CONCLUSIONS

The inpatient mortality of 24% represents a decline when compared to previous years. Attention to the associated factors with mortality, that we report, could have some potential impact on management. Of interest, we found support for obesity paradox in which obesity may have an actual salutary effect on vascular disease outcome. Our observed paradoxical effects, not only for obesity, but also hypertension and hypothyroidism, warrant further study.

Readmissions in ST-Elevation Myocardial Infarction and Cardiogenic Shock (from Nationwide Readmission Database)

Management of ST-elevation myocardial infarction complicated by cardiogenic shock (STEMI-CS) has evolved in the last decade. There is paucity of data on readmissions in this study population. We aimed to assess the burden, major etiologies, and resource utilization for 30-day readmissions among patients with STEMI and CS. The Nationwide Readmission Database was queried from 2010 to 2014. All adult patients with an index admission for STEMI-CS were identified using International Classification of Diseases, ninth edition codes. Patient with mortality on index admission and transfers to other hospitals were excluded. A total of 18,659 admissions were identified with primary diagnosis of STEMI-CS for the study duration. Percutaneous coronary interventions was performed in 78.1% and mechanical circulatory devices were utilized in 53.9% with a mean length of stay of 10.6 (±0.2) days and mean cost of hospitalization of $47,744 (±327). Among these, 2,404 (12.9%) patients were readmitted within 30 days. Major etiologies for readmission include congestive heart failure (25.7%), acute myocardial infarction (9.4%), arrhythmias (4.5%), and sepsis (4.2%). The mean length of stay and cost of hospitalization for 30-day readmission were 5.9 (±0.3) days and $17,043 (±590), respectively. Older age, female gender, lower socioeconomic status, and discharge to home health care were significant predictors for readmission. In conclusion, there is a significant burden of 30-day readmission among patients with STEMI-CS. Percutaneous coronary interventions and mechanical circulatory devices were utilized in a majority of index admissions. Congestive heart failure was the single most common reason for 30-day readmission. Patients discharged to skilled nursing facility, patients with private insurance and higher socioeconomic status were less likely to be readmitted. Moreover, readmissions among STEMI-CS patients contribute to significant resource utilization.

30-Day Readmissions After Endovascular Thrombectomy for Acute Ischemic Stroke

OBJECTIVES

The authors sought to investigate the incidence, predictors, and causes of 30-day nonelective readmissions after endovascular thrombectomy (EVT).

BACKGROUND

Randomized trials have demonstrated that EVT improves outcomes in patients with acute ischemic stroke.

METHODS

The Nationwide Readmissions Database, years 2013 and 2014, was used to identify hospitalizations for a primary diagnosis of acute ischemic stroke during which patients underwent EVT, with or without intravenous thrombolysis. The incidence and reasons of 30-day readmissions were investigated. A hierarchical Cox regression model was used to identify independent predictors of 30-day nonelective readmissions. A propensity score-matched analysis was performed to compare the risk of 30-day nonelective readmissions in those who underwent EVT versus thrombolysis alone.

RESULTS

Among 2,055,365 weighted hospitalizations with acute ischemic stroke and survival to discharge, 10,795 (0.5%) underwent EVT. The 30-day readmission rate was 12.4% within a median of 9 days (interquartile range: 4 to 18 days). Diabetes mellitus, coagulopathy, Medicare or Medicaid insurance, and gastrostomy during the index hospitalization were independent predictors of 30-day readmission, but coadministration of thrombolytics with EVT was not an independent predictor. The most common reasons for readmission were infections (17.2%), cardiac causes (17.0%), and recurrent stroke or transient ischemic attack (14.8%). Compared with thrombolysis alone, the hazard of 30-day readmissions was similar (hazard ratio: 0.98; 95% confidence interval: 0.91 to 1.05; p = 0.55).

CONCLUSIONS

In patients hospitalized with acute ischemic stroke who underwent EVT, 30-day nonelective readmissions were common, occurring in approximately 1 in 8 patients, but were similar to those of patients treated with thrombolysis alone. Risk of readmission was associated with certain patient demographics, comorbidities, and complications, but not thrombolysis coadministration. Infections, cardiac causes, and recurrent stroke or transient ischemic attack are the most common reasons for readmission after EVT, emphasizing the need for comprehensive multidisciplinary treatment in the transition to outpatient care.

Hospital distance, socioeconomic status, and timely treatment of ischemic stroke

OBJECTIVE

To determine whether lower socioeconomic status (SES) and longer home to hospital driving time are associated with reductions in tissue plasminogen activator (tPA) administration and timeliness of the treatment.

METHODS

We conducted a retrospective observational study using data from the Get With The Guidelines-Stroke Registry (GWTG-Stroke) between January 2015 and March 2017. The study included 118,683 ischemic stroke patients age ≥18 who were transported by emergency medical services to one of 1,489 US hospitals. We defined each patient's SES based on zip code median household income. We calculated the driving time between each patient's home zip code and the hospital where he or she was treated using the Google Maps Directions Application Programing Interface. The primary outcomes were tPA administration and onset-to-arrival time (OTA). Outcomes were analyzed using hierarchical multivariable logistic regression models.

RESULTS

SES was not associated with OTA (p = 0.31) or tPA administration (p = 0.47), but was associated with the secondary outcomes of onset-to-treatment time (OTT) (p = 0.0160) and in-hospital mortality (p = 0.0037), with higher SES associated with shorter OTT and lower in-hospital mortality. Driving time was associated with tPA administration (p < 0.001) and OTA (p < 0.0001), with lower odds of tPA (0.83, 0.79-0.88) and longer OTA (1.30, 1.24-1.35) in patients with the longest vs shortest driving time quartiles. Lower SES quintiles were associated with slightly longer driving time quartiles (p = 0.0029), but there was no interaction between the SES and driving time for either OTA (p = 0.1145) or tPA (p = 0.6103).

CONCLUSIONS

Longer driving times were associated with lower odds of tPA administration and longer OTA; however, SES did not modify these associations.

Socioeconomic class and universal healthcare: Analysis of stroke cost and outcomes in US military healthcare

OBJECTIVE

Do socioeconomic disparities exist in the US military healthcare system with ischemic stroke admissions?

METHODS

Civilian healthcare in the United States is paid for by a variety of payers. Significant disparities exist in this system based upon socioeconomic status (SES). In contrast, the military healthcare system (MHS) is a universal healthcare system. Military rank is a SES surrogate. Data was collected from the MHS database for years 2010 through 2015. All admissions to military health care facilities with a primary diagnosis of ischemic stroke were reviewed. Military rank was compared for primary outcomes of: Disposition (In-hospital mortality and discharge destination setting) and IV tPA administration and for secondary outcomes of: Total cost of hospitalization and Length of hospital stay (LoS). All adjusted for relevant demographics and co-morbidities.

RESULTS

Military rank was identified with 1895 (52.3%) of the 3623 admissions. The ranks identified were: Junior Enlisted 100 (2.7%), Senior Enlisted/Warrant Officers 1390 (38.4%), Junior Officers 59 (1.6%) and Senior Officers 346 (9.6%). Statistically significant results included: Lower SES group/ranks were more likely to have poor discharge destination setting while the highest SES group/ranks and had lower rates of in-hospital mortality, shorter lengths of stay and higher hospitalization costs after controlling for relevant variables.

CONCLUSION

Higher military ranks (Higher SES) had shorter hospitalization stays, higher costs and less in-hospital mortality in the military's universal healthcare system. This suggests aggregate characteristics of SES plays a large role in the outcomes among SES groups.

Using Index of Concentration at the Extremes as Indicators of Structural Racism to Evaluate the Association with Preterm Birth and Infant Mortality-California, 2011-2012

Disparities in adverse birth outcomes for Black women continue. Research suggests that societal factors such as structural racism explain more variation in adverse birth outcomes than individual-level factors and societal poverty alone. The Index of Concentration at the Extremes (ICE) measures spatial social polarization by quantifying extremes of deprived and privileged social groups using a single metric and has been shown to partially explain racial disparities in black carbon exposures, mortality, fatal and non-fatal assaults, and adverse birth outcomes such as preterm birth and infant mortality. The objective of this analysis was to assess if local measures of racial and economic segregation as proxies for structural racism are associated and preterm birth and infant mortality experienced by Black women residing in California. California birth cohort files were merged with the American Community Survey by zip code (2011-2012). The ICE was used to quantify privileged and deprived groups (i.e., Black vs. White; high income vs. low income; Black low income vs. White high income) by zip code. ICE scores range from - 1 (deprived) to 1 (privileged). ICE scores were categorized into five quintiles based on sample distributions of these measures: quintile 1 (least privileged)-quintile 5 (most privileged). Generalized linear mixed models were used to test the likelihood that ICE measures were associated with preterm birth or with infant mortality experienced by Black women residing in California. Black women were most likely to reside in zip codes with greater extreme income concentrations, and moderate extreme race and race + income concentrations. Bivariate analysis revealed that greater extreme income, race, and race + income concentrations increased the odds of preterm birth and infant mortality. For example, women residing in least privileged zip codes (quintile 1) were significantly more likely to experience preterm birth (race + income ICE OR = 1.31, 95% CI = 1.72-1.46) and infant mortality (race + income ICE OR = 1.70, 95% CI = 1.17-2.47) compared to women living in the most privileged zip codes (quintile 5). Adjusting for maternal characteristics, income, race, and race + income concentrations remained negatively associated with preterm birth. However, only race and race + income concentrations remained associated with infant mortality. Findings support that ICE is a promising measure of structural racism that can be used to address racial disparities in preterm birth and infant mortality experienced by Black women in California.

Colorectal Cancer Safety Net: Is It Catching Patients Appropriately?

BACKGROUND

Disparities in access to colorectal cancer care are multifactorial and are affected by socioeconomic elements. Uninsured and Medicaid patients present with advanced stage disease and have worse outcomes compared with similar privately insured patients. Safety net hospitals are a major care provider to this vulnerable population. Few studies have evaluated outcomes for safety net hospitals compared with private institutions in colorectal cancer.

OBJECTIVE

The purpose of this study was to compare demographics, screening rates, presentation stage, and survival rates between a safety net hospital and a tertiary care center.

DESIGN

Comparative review of patients at 2 institutions in the same metropolitan area were conducted.

SETTINGS

The study included colorectal cancer care delivered either at 1 safety net hospital or 1 private tertiary care center in the same city from 2010 to 2016.

PATIENTS

A total of 350 patients with colorectal cancer from each hospital were evaluated.

MAIN OUTCOME MEASURES

Overall survival across hospital systems was measured.

RESULTS

The safety net hospital had significantly more uninsured and Medicaid patients (46% vs 13%; p < 0.001) and a significantly lower median household income than the tertiary care center ($39,299 vs $49,741; p < 0.0001). At initial presentation, a similar percentage of patients at each hospital presented with stage IV disease (26% vs 20%; p = 0.06). For those undergoing resection, final pathologic stage distribution was similar across groups (p = 0.10). After a comparable median follow-up period (26.6 mo for safety net hospital vs 29.2 mo for tertiary care center), log-rank test for overall survival favored the safety net hospital (p = 0.05); disease-free survival was similar between hospitals (p = 0.40).

LIMITATIONS

This was a retrospective review, reporting from medical charts.

CONCLUSIONS

Our results support the value of safety net hospitals for providing quality colorectal cancer care, with survival and recurrence outcomes equivalent or improved compared with a local tertiary care center. Because safety net hospitals can provide equivalent outcomes despite socioeconomic inequalities and financial constraints, emphasis should be focused on ensuring that adequate funding for these institutions continues. See Video Abstract at http://links.lww.com/DCR/A454.

Association of travel distance and cerebral aneurysm treatment

Background:

The management of cerebral aneurysms requires a significant level of expertise, and large areas of the country have limited access to such advanced neurosurgical care. The objective of this study was to examine the impact of longer travel distance on aneurysm management.

Methods:

Adult patients treated for cerebral aneurysms from January 1, 2013 to January 1, 2016, were retrospectively identified. Demographic data, socioeconomic data, aneurysm characteristics, and postoperative outcomes were evaluated with univariate and multivariable analysis to determine factors that influenced treatment prior to or after rupture.

Results:

Two hundred fifty aneurysms (87 ruptured) were treated during the study period. Patients treated after rupture were more likely than those treated before rupture to live in areas with lower median household income (62% vs. 45%, P = 0.009), to live further from the treatment center (68% vs. 40%, P < 0.001), and to have aneurysms in the anterior communicating artery, anterior cerebral artery, or posterior communicating artery (P < 0.001). On multivariable analysis, longer travel distance (OR 3.288, 95% CI 1.562–6.922, P = 0.002), lower income (1.899, 95% CI 1.003–3.596, P = 0.049), and aneurysm location (P = 0.035) remained significantly associated with treatment after rupture.

Conclusions:

Patients who must travel further to receive advanced neurovascular care are more likely to receive treatment for their aneurysms only after they rupture. Further inquiry is needed to determine how to better provide neurosurgical treatment to patients living in underserved areas.

Short-term costs of preeclampsia to the United States health care system

BACKGROUND

Preeclampsia is a leading cause of maternal morbidity and mortality and adverse neonatal outcomes. Little is known about the extent of the health and cost burden of preeclampsia in the United States.

OBJECTIVE

This study sought to quantify the annual epidemiological and health care cost burden of preeclampsia to both mothers and infants in the United States in 2012.

STUDY DESIGN

We used epidemiological and econometric methods to assess the annual cost of preeclampsia in the United States using a combination of population-based and administrative data sets: the National Center for Health Statistics Vital Statistics on Births, the California Perinatal Quality Care Collaborative Databases, the US Health Care Cost and Utilization Project database, and a commercial claims data set.

RESULTS

Preeclampsia increased the probability of an adverse event from 4.6% to 10.1% for mothers and from 7.8% to 15.4% for infants while lowering gestational age by 1.7 weeks (P < .001). Overall, the total cost burden of preeclampsia during the first 12 months after birth was $1.03 billion for mothers and $1.15 billion for infants. The cost burden per infant is dependent on gestational age, ranging from $150,000 at 26 weeks gestational age to $1311 at 36 weeks gestational age.

CONCLUSION

In 2012, the cost of preeclampsia within the first 12 months of delivery was $2.18 billion in the United States ($1.03 billion for mothers and $1.15 billion for infants), and was disproportionately borne by births of low gestational age.

Changing Trends of Atherosclerotic Risk Factors Among Patients With Acute Myocardial Infarction and Acute Ischemic Stroke

We aimed to evaluate the secular trends in demographics, risk factors, and clinical characteristics of patients presenting with acute myocardial infarction (AMI) or acute ischemic stroke (AIS), using a large nationally representative data set of in-hospital admissions. We used the 2003 to 2013 Nationwide Inpatient Sample. All admissions with primary diagnosis of AMI or AIS were included. Across 2003 to 2013, a total of 1,360,660 patients with AMI and 937,425 patients with AIS were included in the study. We noted a progressive reduction in the mean age of patients presenting with AMI and AIS (p trend <0.001 for all groups), implying that the burden of young patients with these acute syndromes is progressively increasing. In addition, there was a progressive increase in the proportion of patients who are uninsured among patients presenting with AMI and AIS. Furthermore, despite a progressively younger age at presentation, there was an observed increase in the prevalence of atherosclerotic risk factors including hypertension, hyperlipidemia, diabetes, smoking, and obesity among patients presenting with AMI or AIS during 2003 to 2013. Significant disparities were noted in the prevalence of risk factors among various demographic and geographical cohorts. Low socioeconomic status as well as uninsured patients had a significantly higher prevalence of preventable risk factors like smoking and obesity as compared to the high socioeconomic status and insured patients, respectively. In conclusion, there have been significant changes in the risk factor profile of patients presenting with AMI and AIS over the last decade.

Survival in Women Versus Men Following Implantation of Pacemakers, Defibrillators, and Cardiac Resynchronization Therapy Devices in a Large, Nationwide Cohort

Background

Whether outcomes differ between sexes following treatment with pacemakers (PM), implantable cardioverter defibrillators, and cardiac resynchronization therapy (CRT) devices is unclear.

Methods and Results

Consecutive US patients with newly implanted PM, implantable cardioverter defibrillators, and CRT devices from a large remote monitoring database between 2008 and 2011 were included in this observational cohort study. Sex‐specific all‐cause survival postimplant was compared within each device type using a multivariable Cox proportional hazards model, stratified on age and adjusted for remote monitoring utilization and ZIP‐based socioeconomic variables. A total of 269 471 patients were assessed over a median 2.9 [interquartile range, 2.2, 3.6] years. Unadjusted mortality rates (MR; deaths/100 000 patient‐years) were similar between women versus men receiving PMs (n=115 076, 55% male; MR 4193 versus MR 4256, respectively; adjusted hazard ratio, 0.87; 95% CI, 0.84–0.90; P<0.001) and implantable cardioverter defibrillators (n=85 014, 74% male; MR 4417 versus MR 4479, respectively; adjusted hazard ratio, 0.98; 95% CI, 0.93–1.02; P=0.244). In contrast, survival was superior in women receiving CRT defibrillators (n=61 475, 72% male; MR 5270 versus male MR 7175; adjusted hazard ratio, 0.73; 95% CI, 0.70–0.76; P<0.001) and also CRT pacemakers (n=7906, 57% male; MR 5383 versus male MR 7625, adjusted hazard ratio, 0.69; 95% CI, 0.61–0.78; P<0.001). This relative difference increased with time. These results were unaffected by age or remote monitoring utilization.

Conclusions

Women accounted for less than 30% of high‐voltage implants and fewer than half of low‐voltage implants in a large, nation‐wide cohort. Survival for women and men receiving implantable cardioverter defibrillators and PMs was similar, but dramatically greater for women receiving both defibrillator‐ and PM‐based CRT.

Residential zip code influences outcomes following hospitalization for acute pulmonary embolism in the United States

Socioeconomic status (SES) as reflected by residential zip code may adversely influence outcomes for patients with acute pulmonary embolism (PE). We sought to analyze the impact of neighborhood SES on in-hospital mortality, use of thrombolysis, implantation of inferior vena cava (IVC) filters and cost of hospitalization following acute PE. We used the 2003–2011 Nationwide Inpatient Sample (NIS) for this analysis. All hospital admissions with a principal diagnosis of acute PE were identified using ICD-9 codes. Neighborhood SES was assessed using median household income of the residential zip code for each patient. Over this 9-year period, 276,484 discharges with acute PE were analyzed. There was a progressive decrease in in-hospital mortality across the SES quartiles ( p-trend <0.001). The incidence of in-hospital mortality across quartiles 1–4 was 3.8%, 3.3%, 3.2%, and 3.1%, respectively. Despite low rates of thrombolytic utilization in this cohort, we observed a progressive increase in the rate of thrombolysis utilization across the SES quartiles (1.5%, 1.6%, 1.7%, 2.0%; p-trend <0.001). There was no significant difference in the use of IVC filters across the SES quartiles ( p-trend=0.9). The mean adjusted cost of hospitalization among quartiles 2, 3, and 4, as compared to quartile 1, was significantly higher by $1202, $1650, and $1844, respectively ( p-trend<0.001). In conclusion, patients residing in zip codes with lower SES had increased in-hospital mortality and decreased utilization of thrombolysis following acute PE compared to patients residing in higher SES zip codes. The cost of hospitalization for patients from higher SES quartiles was significantly higher than those from lower quartiles.