Rural-Urban Disparities in Intracerebral Hemorrhage Mortality in the USA: Preliminary Findings from the National Inpatient Sample

Comparative analysis of patient demographics, perioperative outcomes, and adverse events after lumbar spinal fusion between urban and rural hospitals: an analysis of the National Inpatient Sample (NIS) database

OBJECTIVE

Rural location of a patient's primary residence has been associated with worse clinical and surgical outcomes due to limited resource availability in these parts of the US. However, there is a paucity of literature investigating the effect that a rural hospital location may have on these outcomes specific to lumbar spine fusions.

METHODS

Using the National Inpatient Sample (NIS) database, we identified all patients who underwent primary lumbar spinal fusion in the years between 2009 and 2020. Patients were separated according to whether the operative hospital was considered rural or urban. Univariable and multivariable regression models were used for data analysis.

RESULTS

Of 2,863,816 patients identified, 120,298 (4.2 %) had their operation at a rural hospital, with the remaining in an urban hospital. Patients in the urban cohort were younger (P < .001), more likely to have private insurance (39.81 % vs 31.95 %, P < .001), and fewer of them were in the first (22.52 % vs 43.00 %, P < .001) and second (25.96 % vs 38.90 %, P < .001) quartiles of median household income compared to the rural cohort. The urban cohort had significantly increased rates of respiratory (4.49 % vs 3.37 %), urinary (5.25 % vs 4.15 %), infectious (0.49 % vs 0.32 %), venous thrombotic (0.57 % vs 0.24 %, P < .001), and neurological (0.79 % vs 0.36 %) (all P < .001) perioperative complications. On multivariable analysis, the urban cohort had significantly increased odds of the same perioperative complications: respiratory (odds ratio[OR] = 1.48; 95 % confidence interval [CI], 1.26-1.74), urinary (OR = 1.34; 95 %CI, 1.20-1.50), infection (OR = 1.63; 95 %CI, 1.23-2.17), venous thrombotic (OR = 1.79; 95 %CI, 1.32-2.41), neurological injury (OR = 1.92; 95 %CI, 1.46-2.53), and localized infection (OR = 1.65; 95 %CI, 1.25-2.17) (all P < .001).

CONCLUSIONS

Patients undergoing lumbar fusions experience significantly different outcomes based on the rural or urban location of the operative hospital.

GFAP point-of-care measurement for prehospital diagnosis of intracranial hemorrhage in acute coma

BACKGROUND

Prehospital triage and treatment of patients with acute coma is challenging for rescue services, as the underlying pathological conditions are highly heterogenous. Recently, glial fibrillary acidic protein (GFAP) has been identified as a biomarker of intracranial hemorrhage. The aim of this prospective study was to test whether prehospital GFAP measurements on a point-of-care device have the potential to rapidly differentiate intracranial hemorrhage from other causes of acute coma.

METHODS

This study was conducted at the RKH Klinikum Ludwigsburg, a tertiary care hospital in the northern vicinity of Stuttgart, Germany. Patients who were admitted to the emergency department with the prehospital diagnosis of acute coma (Glasgow Coma Scale scores between 3 and 8) were enrolled prospectively. Blood samples were collected in the prehospital phase. Plasma GFAP measurements were performed on the i-STAT Alinity® (Abbott) device (duration of analysis 15 min) shortly after hospital admission.

RESULTS

143 patients were enrolled (mean age 65 ± 20 years, 42.7% female). GFAP plasma concentrations were strongly elevated in patients with intracranial hemorrhage (n = 51) compared to all other coma etiologies (3352 pg/mL [IQR 613-10001] vs. 43 pg/mL [IQR 29-91.25], p < 0.001). When using an optimal cut-off value of 101 pg/mL, sensitivity for identifying intracranial hemorrhage was 94.1% (specificity 78.9%, positive predictive value 71.6%, negative predictive value 95.9%). In-hospital mortality risk was associated with prehospital GFAP values.

CONCLUSION

Increased GFAP plasma concentrations in patients with acute coma identify intracranial hemorrhage with high diagnostic accuracy. Prehospital GFAP measurements on a point-of-care platform allow rapid stratification according to the underlying cause of coma by rescue services. This could have major impact on triage and management of these critically ill patients.

Door-in-Door-out Times for Interhospital Transfer of Patients With Stroke

Importance

Treatments for time-sensitive acute stroke are not available at every hospital, often requiring interhospital transfer. Current guidelines recommend hospitals achieve a door-in-door-out time of no more than 120 minutes at the transferring emergency department (ED).

Objective

To evaluate door-in-door-out times for acute stroke transfers in the American Heart Association Get With The Guidelines-Stroke registry and to identify patient and hospital factors associated with door-in-door-out times.

Design, Setting, and Participants

US registry-based, retrospective study of patients with ischemic or hemorrhagic stroke from January 2019 through December 2021 who were transferred from the ED at registry-affiliated hospitals to other acute care hospitals.

Exposure

Patient- and hospital-level characteristics.

Main Outcomes and Measures

The primary outcome was the door-in-door-out time (time of transfer out minus time of arrival to the transferring ED) as a continuous variable and a categorical variable (≤120 minutes, >120 minutes). Generalized estimating equation (GEE) regression models were used to identify patient and hospital-level characteristics associated with door-in-door-out time overall and in subgroups of patients with hemorrhagic stroke, acute ischemic stroke eligible for endovascular therapy, and acute ischemic stroke transferred for reasons other than endovascular therapy.

Results

Among 108 913 patients (mean [SD] age, 66.7 [15.2] years; 71.7% non-Hispanic White; 50.6% male) transferred from 1925 hospitals, 67 235 had acute ischemic stroke and 41 678 had hemorrhagic stroke. Overall, the median door-in-door-out time was 174 minutes (IQR, 116-276 minutes): 29 741 patients (27.3%) had a door-in-door-out time of 120 minutes or less. The factors significantly associated with longer median times were age 80 years or older (vs 18-59 years; 14.9 minutes, 95% CI, 12.3 to 17.5 minutes), female sex (5.2 minutes; 95% CI, 3.6 to 6.9 minutes), non-Hispanic Black vs non-Hispanic White (8.2 minutes, 95% CI, 5.7 to 10.8 minutes), and Hispanic ethnicity vs non-Hispanic White (5.4 minutes, 95% CI, 1.8 to 9.0 minutes). The following were significantly associated with shorter median door-in-door-out time: emergency medical services prenotification (-20.1 minutes; 95% CI, -22.1 to -18.1 minutes), National Institutes of Health Stroke Scale (NIHSS) score exceeding 12 vs a score of 0 to 1 (-66.7 minutes; 95% CI, -68.7 to -64.7 minutes), and patients with acute ischemic stroke eligible for endovascular therapy vs the hemorrhagic stroke subgroup (-16.8 minutes; 95% CI, -21.0 to -12.7 minutes). Among patients with acute ischemic stroke eligible for endovascular therapy, female sex, Black race, and Hispanic ethnicity were associated with a significantly higher door-in-door-out time, whereas emergency medical services prenotification, intravenous thrombolysis, and a higher NIHSS score were associated with significantly lower door-in-door-out times.

Conclusions and Relevance

In this US registry-based study of interhospital transfer for acute stroke, the median door-in-door-out time was 174 minutes, which is longer than current recommendations for acute stroke transfer. Disparities and modifiable health system factors associated with longer door-in-door-out times are suitable targets for quality improvement initiatives.

Improving multidisciplinary hospital care for acute cerebral circulation disorders in Kazakhstan

Background

According to the World Stroke Organization, there was a significant increase in stroke cases, stroke deaths, and the DALY rate in low- and middle-income countries in 2022. The number of stroke cases rose by 70.0%, stroke deaths reached 86.0%, and the DALY rate reached 89.0%. Among cerebrovascular diseases, ischemic stroke accounts for 62.0% of all strokes, with more than 7.6 million cases reported annually.Kazakhstan, with a population of 19,832,737, is the largest country in Central Asia in terms of territory. In Kazakhstan, the incidence of cerebrovascular disease has risen from 258.4 cases per 100,000 population in 2015 to 433.7 cases per 100,000 population in 2020. Official statistics indicate that the average inpatient mortality rate from stroke in the country is 16.2%, and the average time for patients to be delivered to the hospital after an ambulance call is 40 min (83.2%).Our study findings reveal that in the regions of Kazakhstan, the main contributors to the high morbidity and mortality rates in stroke are a shortage of doctors, inadequate primary healthcare, insufficient follow-up and treatment, and delayed hospitalization. Consequently, this study has helped fill knowledge gaps regarding the epidemiological situation in these regions and underscores the need for training doctors in managing high-risk patients, establishing multidisciplinary home visit teams, and establishing "Stroke Schools" to enhance public awareness of early stroke signs and the fundamentals of a healthy lifestyle. Future research endeavors should consider these study results as valuable contributions towards addressing the existing problems.

Aim

To study the prevalence and mortality of acute cerebral circulation impairment in the population within multidisciplinary hospitals in the cities of Nur-Sultan and Almaty, Republic of Kazakhstan, for the period of 2018-2020.This retrospective study was conducted in two stages. In the first stage, an analysis of morbidity, prevalence, and mortality was conducted for the population of Nur-Sultan and Almaty cities, as well as for the overall population of Kazakhstan. This analysis was based on data from the "Electronic Register of Discharged Patients" (IS ERDB) and the annual collection "Health of the Population of the Republic of Kazakhstan and the Activities of Health Organizations in 2015-2020". In the second stage, we examined the care provided to patients with acute impaired cerebral circulation in a multidisciplinary hospital in these two cities. The analysis was based on data regarding the sex and age composition of treated patients in hospitals across the Republic of Kazakhstan, categorized according to the ICD-10 code "Acute Impaired Cerebral Circulation" (I60-I64). We investigated the methods of patients' delivery to medical organizations, types of hospitalization, and outcomes of treated patients. The sample of patients was selected using data from the "Electronic Register of Dispensary Patients" of the Ministry of Health of the Republic of Kazakhstan, along with the statistical collection "Health of the Population of the Republic of Kazakhstan and the Activities of Healthcare Organizations". Between January 1, 2018, and December 31, 2020, a total of 5965 patients were diagnosed with a cerebrovascular event and admitted to a general hospital in Nur-Sultan city, while 13,498 patients were diagnosed and admitted in Almaty city.

Geographic Disparities in Case Fatality and Discharge Disposition Among Patients With Primary Intracerebral Hemorrhage

Background We evaluate nationwide trends and urban-rural disparities in case fatality (in-hospital mortality) and discharge dispositions among patients with primary intracerebral hemorrhage (ICH). Methods and Results In this repeated cross-sectional study, we identified adult patients (≥18 years of age) with primary ICH from the National Inpatient Sample (2004-2018). Using a series of survey design Poisson regression models, with hospital location-time interaction, we report the adjusted risk ratio (aRR), 95% CI, and average marginal effect (AME) for factors associated with ICH case fatality and discharge dispositions. We performed a stratified analysis of each model among patients with extreme loss of function and minor to major loss of function. We identified 908 557 primary ICH hospitalizations (overall mean age [SD], 69.0 [15.0] years; 445 301 [49.0%] women; 49 884 [5.5%] rural ICH hospitalizations). The crude ICH case fatality rate was 25.3% (urban hospitals: 24.9%, rural hospitals:32.5%). Urban (versus rural) hospital patients had a lower likelihood of ICH case fatality (aRR, 0.86 [95% CI, 0.83-0.89]). ICH case fatality is declining over time; however, it is declining faster in urban hospitals (AME, -0.049 [95% CI, -0.051 to -0.047]) compared with rural hospitals (AME, -0.034 [95% CI, -0.040 to -0.027]). Conversely, home discharge is increasing significantly among urban hospitals (AME, 0.011 [95% CI, 0.008-0.014]) but not significantly changing in rural hospitals (AME, -0.001 [95% CI, -0.010 to 0.007]). Among patients with extreme loss of function, hospital location was not significantly associated with ICH case fatality or home discharge. Conclusions Improving access to neurocritical care resources, particularly in resource-limited communities, may reduce the ICH outcomes disparity gap.

Geographic Disparities in Stroke Outcomes and Service Access: A Prospective Observational Study

BACKGROUND AND OBJECTIVES

International evidence shows that patients treated at nonurban hospitals experience poorer access to key stroke interventions. Evidence for whether this results in poorer outcomes is conflicting and generally based on administrative or voluntary registry data. The aim of this study was to use prospective high-quality comprehensive nationwide patient-level data to investigate the association between hospital geography and outcomes of patients with stroke and access to best-practice stroke care in New Zealand.

METHODS

This is a prospective, multicenter, nationally representative observational study involving all 28 New Zealand acute stroke hospitals (18 nonurban) and affiliated rehabilitation and community services. Consecutive adults admitted to the hospital with acute stroke between May 1 and October 31, 2018, were captured. Outcomes included functional outcome (modified Rankin Scale [mRS] score shift analysis), functional independence (mRS score 0-2), quality of life (EuroQol 5-dimension, 3-level health-related quality of life questionnaire), stroke/vascular events, and death at 3, 6, and 12 months and proportion accessing thrombolysis, thrombectomy, stroke units, key investigations, secondary prevention, and inpatient/community rehabilitation. Results were adjusted for age, sex, ethnicity, stroke severity/type, comorbid conditions, baseline function, and differences in baseline characteristics.

RESULTS

Overall, 2,379 patients were eligible (mean [SD] age 75 [13.7] years; 51.2% male; 1,430 urban, 949 nonurban). Patients treated at nonurban hospitals were more likely to score in a higher mRS score category (greater disability) at 3 (adjusted odds ratio [aOR] 1.28, 95% CI 1.07-1.53), 6 (aOR 1.33, 95% CI 1.07-1.65), and 12 (aOR 1.31, 95% CI 1.06-1.62) months and were more likely to have died (aOR 1.57, 95% CI 1.17-2.12) or experienced recurrent stroke and vascular events at 12 months (aOR 1.94, 95% CI 1.14-3.29 and aOR 1.65, 95% CI 1.09-2.52). Fewer nonurban patients received recommended stroke interventions, including endovascular thrombectomy (aOR 0.25, 95% CI 0.13-0.49), acute stroke unit care (aOR 0.60, 95% CI 0.49-0.73), antiplatelet prescriptions (aOR 0.72, 95% CI 0.58-0.88), ≥60 minutes of daily physical therapy (aOR 0.55, 95% CI 0.40-0.77), and community rehabilitation (aOR 0.69, 95% CI 0.56-0.84).

DISCUSSION

Patients managed at nonurban hospitals experience poorer stroke outcomes and reduced access to key stroke interventions across the entire care continuum. Efforts to improve access to high quality stroke care in nonurban hospitals should be a priority.

Rural-Urban Disparities in Heart Failure and Acute Myocardial Infarction Hospitalizations

Substantial gaps in clinical outcomes exist in rural and urban hospitals in the United States. We used the National Inpatient Sample to examine trends in hospitalizations, in-hospital mortality, length of stay, and inflation-adjusted cost of adults admitted for heart failure (HF) and acute myocardial infarction (AMI) in rural and urban hospitals between 2004 and 2018. From 2004 to 2013 and 2014, there was an initial decrease in age-adjusted HF hospitalizations in both urban (annual percent change [APC] -3.9 [95% confidence interval [CI] -4.3 to -3.5] p <0.001) and rural hospitals (APC -5.9 [95% CI -6.4 to -5.3] p <0.001), after which hospitalizations for HF increased in urban areas (APC 4.2 [95% CI 3.2 to 5.3] p <0.001) and remained stable in rural areas (APC 0.2 [95% CI -2.1 to 2.6] p = 0.863). Urban AMI hospitalizations decreased between 2004 and 2010 (APC -4.4 [95% CI -5.3 to -3.3] p <0.001) and subsequently remained stable (APC 0.2 [95% CI -0.5 to 0.9] p = 0.552), whereas rural AMI hospitalizations had a consistent decrease throughout the study period (APC -4.2 [95% CI -5.0 to -3.4] p <0.001). Overall, urban hospitals had lower in-hospital mortality for HF and AMI than rural hospitals (3.1% vs 3.5%, p <0.001% and 5.4% vs 6.5%, p <0.001), respectively. Initially, in-hospital mortality was higher in rural hospitals; however, the rural-urban hospital mortality gap decreased during the study period for both HF and AMI. Rural hospitals had a shorter mean length of stay for HF and AMI (4.4 vs 5.5 days, p <0.001 and 3.9 vs 4.7 days, p <0.001) and lower inflation-adjusted costs for both HF and AMI ($8,897.1 vs $13,420.8, p <0.001 and $15,301.6 vs $22,943.7, p <0.001) when compared with urban hospitals. In conclusion, a consistent decrease in the in-hospital mortality gap in rural and urban hospitals for HF and AMI suggests improvement in inpatient rural cardiovascular care during the study period. Continued healthcare policy reforms are warranted to alleviate the disparities in rural-urban cardiovascular outcomes.

Variability in intensive care utilization for intracerebral hemorrhage in the United States: Retrospective cohort study

OBJECTIVES

There are urban-rural geographic health disparities in intracerebral hemorrhage (ICH) outcomes. However, there is limited data regarding the relationship between intensive care (ICU) availability and ICH outcomes. We examined whether ICU availability was a significant contributor to ICH outcomes by US geographic region.

MATERIALS AND METHODS

We used de-identified Medicare inpatient datasets from January 2016 to December 2019 and identified all index ICH admissions, stratifying by ICU care received during the hospitalization. Distributions of teaching hospital status, quartile of ICH volume, hospital urban-rural designation, and ICU availability were obtained using chi-square test. Propensity-score matching was utilized to compare outcomes of more favorable outcome, inpatient mortality, and 30-day all-cause readmissions by ICU availability at each hospital.

RESULTS

Out of a total of 119,891 hospitalizations for ICH, 66,306 (55.3%) received ICU-level care. Of hospitals that treated at least one ICH, 42.6% did not provide ICU level care for any ICH admission during the study period. Teaching hospitals (48.0% vs 7.0%; p<0.0001), hospitals with higher ICH case volumes (p<0.0001) and in larger metropolitan areas (p<0.0001) were more likely to have an ICU available. Propensity score-matched models showed that hospital ICU availability was associated with a lower likelihood of inpatient mortality (29.4% vs 33.7%; p=0.0016) CONCLUSIONS: Rural-urban disparities in ICH outcomes are likely multifactorial, but ICU availability likely contributes to the disparity. Additional studies are necessary to elucidate other contributing mechanisms.

Acute Ischemic Stroke Interventions in the United States and Racial, Socioeconomic, and Geographic Disparities

BACKGROUND AND OBJECTIVES

In patients with ischemic stroke (IS), IV alteplase (tissue plasminogen activator [tPA]) and endovascular thrombectomy (EVT) reduce long-term disability, but their utilization has not been fully optimized. Prior research has also demonstrated disparities in the use of tPA and EVT specific to sex, race/ethnicity, socioeconomic status, and geographic location. We sought to determine the utilization of tPA and EVT in the United States from 2016-2018 and if disparities in utilization persist.

METHODS

This is a retrospective, longitudinal analysis of the 2016-2018 National Inpatient Sample. We included adult patients who had a primary discharge diagnosis of IS. The primary study outcomes were the proportions who received tPA or EVT. We fit a multivariate logistic regression model to our outcomes in the full cohort and also in the subset of patients who had an available baseline National Institutes of Health Stroke Scale (NIHSS) score.

RESULTS

The full cohort after weighting included 1,439,295 patients with IS. The proportion who received tPA increased from 8.8% in 2016 to 10.2% in 2018 (p < 0.001) and who had EVT from 2.8% in 2016 to 4.9% in 2018 (p < 0.001). Comparing Black to White patients, the odds ratio (OR) of receiving tPA was 0.82 (95% confidence interval [CI] 0.79-0.86) and for having EVT was 0.75 (95% CI 0.70-0.81). Comparing patients with a median income in their zip code of ≤$37,999 to >$64,000, the OR of receiving tPA was 0.81 (95% CI 0.78-0.85) and for having EVT was 0.84 (95% CI 0.77-0.91). Comparing patients living in a rural area to a large metro area, the OR of receiving tPA was 0.48 (95% CI 0.44-0.52) and for having EVT was 0.92 (95% CI 0.81-1.05). These associations were largely maintained after adjustment for NIHSS, although the effect size changed for many of them. Contrary to prior reports with older datasets, sex was not consistently associated with tPA or EVT.

DISCUSSION

Utilization of tPA and EVT for IS in the United States increased from 2016 to 2018. There are racial, socioeconomic, and geographic disparities in the accessibility of tPA and EVT for patients with IS, with important public health implications that require further study.

Intracerebral hemorrhage: who gets tested for methamphetamine use and why might it matter?

Background

Methamphetamine use is an emerging risk factor for intracerebral hemorrhage (ICH). The aim of this study was to investigate the use of urine drug screen (UDS) for identifying methamphetamine-associated ICH.

Methods

This is a retrospective, single-center study of consecutive patients hospitalized with spontaneous ICH from January 2013 to December 2017. Patients were divided into groups based on presence of UDS. The characteristics of patients with and without UDS were compared. Factors associated with getting UDS were explored using multivariable analyses.

Results

Five hundred ninety-six patients with ICH were included. UDS was performed in 357 (60%), and positive for methamphetamine in 44 (12.3%). In contrast, only 19 of the 357 patients (5.3%) had a documented history of methamphetamine use. Multivariable analysis demonstrated that patients screened with UDS were more likely to be younger than 45 (OR, 2.24; 95% CI, 0.26–0.78; p = 0.004), male (OR, 1.65; 95% CI, 0.44–0.84; p = 0.003), smokers (OR, 1.74; 95% CI, 1.09–2.77; p <  0.001), with history of methamphetamine use (OR, 10.48; 95% CI, 2.48–44.34; p <  0.001), without diabetes (OR 1.47; 95% CI, 0.471–0.975; p = 0.036), not on anticoagulant (OR, 2.20; 95% CI, 0.26–0.78; p = 0.004), with National Institutes of Health Stroke Scale (NIHSS) > 4 (OR, 1.92; 95%CI, 1.34–2.75; p <  0.001), or require external ventricular drain (EVD) (OR, 1.63; 95%CI, 1.07–2.47; p = 0.021. There was no significant difference in race (p = 0.319). Reported history of methamphetamine use was the strongest predictor of obtaining a UDS (OR,10.48). Five percent of patients without UDS admitted history of use.

Conclusion

UDS identified 12.3% of ICH patients with methamphetamine use as compared to 5.3% per documented history of drug use. There was no racial bias in ordering UDS. However, it was more often ordered in younger, male, smokers, with history of methamphetamine use, without diabetes or anticoagulant use.