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Background: For patients diagnosed with stroke, the association between socioeconomic status and patient outcomes is poorly understood. Our objective was to define the impact of patients' socioeconomic status on their prognosis after stroke in the United States.Methods: Utilizing the Nationwide Inpatient Sample, we identified discharges involving a diagnosis of stroke from 2008 to 2013. Cohort was dichotomized to low-income patients (L-patients) and not-low-income patients (NL-patients). Z-test statistic was used to test the impact of income on stroke outcome.Results: The reported annual total in-hospital mortality for L-patients and NL-patients diagnosed with stroke at U.S. hospitals decreased significantly during the study period (P < .001). The mortality of L-patients decreased significantly from 1759 (4.16%) to 955 (2.54%) during study period. Similarly, NL-patients' mortality decreased significantly from 4818 (4.52%) to 2300 (2.47%) during the same period. The difference between the annual total in-hospital mortality for L-patients and NL-patients due to stroke was statistically significant throughout the entire study period (P < .0001). Notably, from 2008 to 2013, the annual total routine discharges, annual total discharges to short-term hospital, annual total discharges to another institution, and annual total discharges to home health care were statistically significantly different between the 2 populations of patients (P < .0001).Conclusions: Socioeconomic status has an impact on patient outcome after treatment of stroke in hospitals in the United States. Further study is needed to investigate the etiology of these differences between patients' socioeconomic status and their clinical outcomes after stroke. [ABSTRACT FROM AUTHOR]

Objective: This study investigates the effect of aneurysm circulation on mortality and patient outcomes after aneurysmal subarachnoid hemorrhage (SAH) within the United States.Methods: A retrospective cohort study was conducted using the Nationwide Inpatient Sample (NIS), a part of the Healthcare Cost and Utilization Project (HCUP), with ICD-10 codes for non-traumatic SAH between 2015-2016. Aneurysms were stratified as either anterior or posterior circulation. Multivariate logistic regression was used to find the impact of selected variables on the odds of mortality.Results: The NIS reported 1,892 cases of non-traumatic SAH within the study period that were predominantly anterior circulation (82.6%), female (68.6%), white (57.7%), with mean age of 59.07 years, and in-hospital mortality of 21.4%. Anterior circulation aneurysms were associated with lower severity of initial illness (p = 0.014) but higher likelihood of vasospasm (p = 0.0006) than those of the posterior circulation. In a multivariate logistic regression analysis, mortality was associated with posterior circulation aneurysms (OR: 1.42; CI 95% 1.005-20.10, p = 0.047), increasing age (OR: 1.035; 95% CI 1.022-1.049; p < 0.0001), and shorter hospital stays (OR: 0.7838; 95% CI 0.758-0.811; p < 0.0001). Smoking history (OR: 0.825; 95% CI 0.573-1.187, p > 0.05) and vasospasm (OR: 1.005; 95% CI 0.648-1.558; p > 0.05) were not significantly associated with higher odds of mortality.Conclusions: Mortality following aneurysmal SAH is associated with posterior circulation aneurysms, and increasing age, but not smoking history or vasospasm. These findings may be useful for prognostication and counseling patients and families. [ABSTRACT FROM AUTHOR]

Objectives: The purpose of this study was to identify the incidence of anesthetic errors per discharges in the United States within these errors, the incidence of death. A secondary aim was to identify any association between the mortality and patient comorbidities.Methods: A retrospective analysis of the hospitals in the United States using the Nationwide Inpatient Sample (NIS) database during 2007-2014 was performed. The study population consisted of patients who were recorded as inpatient discharges who experienced complications as a result of incorrect anesthetic administration resulting from either an overdose or inappropriate medication administration in the United States.Results: Between 2007 and 2014, a total of 17,116 anesthetic errors were reported. There was a substantial decrease in the total number of these errors over time, from 2483 in 2007 to 1391 in 2014 (44% decrease). There were 131 reported deaths in this cohort (0.77% mortality rate), with 61 mortalities in teaching hospitals (0.86% mortality rate) and 57 in nonteaching hospitals (0.73% mortality rate). During the study period, deaths decreased from 21 in 2007 (0.85% mortality rate) to 11 in 2014 (0.79% mortality rate), corresponding with a 7.1% decrease in the mortality rate. Comorbidities associated with a significant increase in mortality from anesthetic substances included fluid and electrolyte disorders (odds ratio 8.82, 95% confidence interval 5.24-14.83, P < 0.001) and coagulopathies (odds ratio 5.26, 95% confidence interval 2.53-10.93, P < 0.001).Conclusions: Our study showed that although the incidence of anesthetic errors is small, they do still exist in our hospitals. Certain comorbidities appear to predispose patients to increased risk. The subsets of patients who appear to be at the greatest risk include those with preexisting electrolyte and fluid disorders and coagulopathies. [ABSTRACT FROM AUTHOR]

Objective The association between obesity and nontraumatic subarachnoid hemorrhage (SAH) patient outcome is unclear. The aim of this study was to determine the impact of morbid obesity (body mass index ≥40 kg/m 2 ) on nontraumatic SAH outcomes. Methods Using the Nationwide Inpatient Sample, we identified hospitalized, nontraumatic SAH patients who received their diagnoses from 2008 to 2013 and tested the effect of obesity on their mortality and clinical outcomes. Odds ratios were estimated with a mixed effects linear logistic model with adjustment for hospital clustering. All statistical testing was 2-sided, with a significance level of 5%. Results Out of 224,561 discharged patients with a diagnosis of nontraumatic SAH, 4714 (2.10%) were defined as morbidly obese. Patients with morbid obesity were younger (54.3 ± 0.44 vs. 59.5 ± 0.08 years; P < 0.001) and had longer length of stay (LOS) (13 ± 0.46 vs. 11.5 ± 0.06 days; P = 0.002). Morbid obesity was associated with significantly higher hospital costs ( P < 0.001) and charges ( P < 0.001). The risk of acute respiratory failure was higher in morbidly obese patients (odds ratio [OR] 1.49, 95% confidence interval [CI]: 1.3–1.71, P < 0.001). In a multivariate analysis of hospital mortality, obesity had a negative impact on mortality (OR 0.83, 95% CI: 0.74–0.92, P < 0.001). Overall, in-hospital mortality was associated with age, morbid obesity, LOS, clipping and coiling, and acute respiratory failure but not the symptomatic vasospasm. Conclusions Morbid obesity is associated with increased LOS, hospital costs and charges and with acute respiratory failure. However, it is also associated with a decrease in hospital mortality. [ABSTRACT FROM AUTHOR]

• There is a significant increase in the number of seizure diagnosis at discharge in Medicare, Medicaid, and private in the United States between 1997-2014. • There was a decrease in the in-hospital mortality rate across all insurance payers. • Uninsured patients had the highest mortality rate after Medicare without risk justification. • Risk-stratified models confirmed Medicare was significantly associated with a less in-hospital mortality rate. In countries where health coverage is not universal, there is ample evidence of disparities in healthcare, often associated with insurance. People with seizures, similar to those living with any complicated chronic medical comorbidity, need further health-related attention to improve their quality-of-life outcomes. We conducted a retrospective cohort study of the National Inpatient Sample (NIS) component of the Healthcare Cost and Utilization Project (HCUP) national database between 1997–2014. The analysis focused on the mortality rate, and patients with a principal admission diagnosis of seizure at the time of discharge were identified. Primary Payer Status (PPS) included Medicare, Medicaid, private, and uninsured. Multivariate linear regression modeling was conducted to examine the contribution of the predictive variables to in-hospital mortality. Between 1997–2014, 4,594,213 seizure-related discharges was recorded. The overall mean patient age was 41.69 ± 0.98 years, and 58.1 % were female. The average age during this period decreased significantly in Medicare, increased substantially in uninsured, without significant change in Medicaid and private. Patients in Medicare had the highest length of stay (LOS) (4.49 ± 0.29 days), and uninsured (2.79 ± 0.15) had the least. Over time, there was a significant increase in the number of seizure discharges in Medicare, Medicaid, and private insurance. However, there was a significant decrease in in-hospital mortality in Medicare, Medicaid, and private, with the most prominent decline in Medicare. Risk-adjusted for age, gender, LOS, illness severity, and time, regression results showed Medicare has a significantly higher association with less in-hospital mortality compared with other insurances. Our study showed a significant increase in the number of seizure diagnoses at discharge in Medicare, Medicaid, and private in the United States between 1997–2014; however, there was a decrease in the in-hospital mortality rate across all insurance payers. Uninsured patients had the highest mortality rate after Medicare without risk justification. Risk-stratified models confirmed Medicare was significantly associated with a less in-hospital mortality rate. [ABSTRACT FROM AUTHOR]

B Learning Objectives: b Primary intracerebral hemorrhage (ICH) causes up to 15% of strokes, with about 50% mortality within 30 days. Coagulopathy was the strongest mortality risk factor for all ICH admissions among medical comorbidities in the study (OR 1.90). Comorbidities associated with decreased mortality for all ICH admissions included complicated diabetes mellitus (OR 0.76), obesity (OR 0.81), and hypertension (OR 0.83). [Extracted from the article]