Health Care Costs After Cardiac Arrest in the United States.

BACKGROUND: This study was designed to estimate the costs of index hospitalizations after cardiac arrest in the United States. METHODS AND RESULTS: We used the US Nationwide Inpatient Sample (2003-2012) to identify patients with cardiac arrest. Log transformation of inflation-adjusted cost was determined for care to patient outcomes. Overall, an estimated 1 387 396 patients were hospitalized after cardiac arrest. The mean age of the cohort was 66 years, 45% were women, and the majority were white. Inpatient procedures included coronary angiography (15%), percutaneous coronary intervention (7%), intra-aortic balloon pump (4.4%), therapeutic hypothermia (1.1%), and mechanical circulatory support (0.1%). The rates of therapeutic hypothermia increased from zero in 2003 to 2.7% in 2012 (P<0.001). Both hospital charges and inflation-adjusted cost increased linearly over time. In a multivariate analysis, predictors of inflation-adjusted cost included large hospital size, urban teaching hospital, and length of stay. Among comorbidities, atrial fibrillation or fluid and electrolytes imbalance was most associated with cost. Among selected interventions, the cost was significantly increased with automatic implantable cardioverter defibrillators (odds ratio, 1.83; P<0.001), intra-aortic balloon pump (odds ratio, 1.50; P<0.001), hypothermia (odds ratio, 1.28; P<0.001), and extracorporeal membrane oxygenation (odds ratio, 2.38; P<0.001). CONCLUSIONS: In the period between 2003 and 2012, postcardiac arrest hospitalizations resulted in a steady rise in associated health care cost, likely related to increased length of stay, medical procedures, and systems of care. Although targeted cost containment for postarrest interventions may reduce the finance burden, there is an increasing need for funding research into prediction and prevention of cardiac arrest, which offers greater societal benefit.

Sudden Cardiac Arrest Risk Assessment: Population Science and the Individual Risk Mandate.

Importance: High-resolution stratification of risk of sudden cardiac arrest (SCA) in individual patients is a tool that is necessary for achieving effective and efficient application of data generated by population-based research. This concept is at the core of initiatives for merging cost effectiveness with maximized clinical efficiency and individual patient treatment. Observations: For this review, we analyzed data on sudden cardiac death and SCA available from population studies that included large longitudinal and cross-sectional databases, observational cohort studies, and randomized clinical trials. In the context of population science, we treated clinical trials as small, scientifically rigid population studies that generate outcomes focused on defined segments of the population. Application of probabilistic outcomes from these available sources to individual patients generally and patients at risk for SCA and sudden cardiac death in particular is limited by the diversity of the study population based on inclusion criteria and/or the absence of uniformly large effect sizes. Limited information is available on the requirements for defining small high-risk density subgroups that would lead to identification of individuals at a sufficiently high probability of SCA to have a significant effect on clinical decision making. Conclusions and Relevance: Synthesis of available population and clinical science data demonstrates the limitations for prediction and prevention of SCA and sudden cardiac death and provides justification for a research mandate for improving risk prediction at the level of individual patients. This leads to suggested approaches to new data generation and required research funding to address this large public health burden.

Differences Between Access to Follow-Up Care and Inappropriate Shocks Based on Insurance Status of Implantable Cardioverter Defibrillator Recipients.

Differences in implantable cardioverter defibrillator (ICD) utilization based on insurance status have been described, but little is known about postimplant follow-up patterns associated with insurance status and outcomes. We collected demographic, clinical, and device data from 119 consecutive patients presenting with ICD shocks. Insurance status was classified as uninsured/Medicaid (uninsured) or private/Health Maintenance Organization /Medicare (insured). Shock frequencies were analyzed before and after a uniform follow-up pattern was implemented regardless of insurance profile. Uninsured patients were more likely to present with an inappropriate shock (63% vs 40%, p = 0.01), and they were more likely to present with atrial fibrillation (AF) as the shock trigger (37% vs 19%, p = 0.04). Uninsured patients had a longer interval between previous physician contact and index ICD shock (147 ± 167 vs 83 ± 124 days, p = 0.04). Patients were followed for a mean of 521 ± 458 days after being enrolled in a uniform follow-up protocol, and there were no differences in the rate of recurrent shocks based on insurance status. In conclusion, among patients presenting with an ICD shock, underinsured/uninsured patients had significantly longer intervals since previous physician contact and were more likely to present with inappropriate shocks and AF, compared to those with private/Medicare coverage. After the index shock, both groups were followed uniformly, and the differences in rates of inappropriate shocks were mitigated. This observation confirms the importance of regular postimplant follow-up as part of the overall ICD management standard.

Gender, Race, and Health Insurance Status in Patients Undergoing Catheter Ablation for Atrial Fibrillation.

Catheter ablation for atrial fibrillation (AF) has emerged as a popular procedure. The purpose of this study was to examine whether there exist differences or disparities in ablation utilization across gender, socioeconomic class, insurance, or race. Using the Nationwide Inpatient Sample (2000 to 2012), we identified adults hospitalized with a principal diagnosis of AF by ICD 9 code 427.31 who had catheter ablation (ICD 9 code-37.34). We stratified patients by race, insurance status, age, gender, and hospital characteristics. A hierarchical multivariate mixed-effect model was created to identify the independent predictors of AF ablation. Among an estimated total of 3,508,122 patients (extrapolated from 20% Nationwide Inpatient Sample) hospitalized with a diagnosis of AF in the United States from the year 2000 to 2012, 102,469 patients (2.9%) underwent catheter ablations. The number of ablations was increased by 940%, from 1,439 in 2000 to 15,090 in 2012. There were significant differences according to gender, race, and health insurance status, which persisted even after adjustment for other risk factors. Female gender (0.83 [95% CI 0.79 to 0.87; p <0.001]), black (0.49 [95% CI 0.44 to 0.55; p <0.001]), and Hispanic race (0.64 [95% CI 0.56 to 0.72; p <0.001]) were associated with lower likelihoods of undergoing an AF ablation. Medicare (0.93, 0.88 to 0.98, <0.001) or Medicaid (0.67, 0.59 to 0.76, <0.001) coverage and uninsured patients (0.55, 0.49 to 0.62, <0.001) also had lower rates of AF ablation compared to patients with private insurance. In conclusion we found differences in utilization of catheter ablation for AF based on gender, race, and insurance status that persisted over time.

Alternative research funding to improve clinical outcomes: model of prediction and prevention of sudden cardiac death.

Although identification and management of cardiovascular risk markers have provided important population risk insights and public health benefits, individual risk prediction remains challenging. Using sudden cardiac death risk as a base case, the complex epidemiology of sudden cardiac death risk and the substantial new funding required to study individual risk are explored. Complex epidemiology derives from the multiple subgroups having different denominators and risk profiles, while funding limitations emerge from saturation of conventional sources of research funding without foreseeable opportunities for increases. A resolution to this problem would have to emerge from new sources of funding targeted to individual risk prediction. In this analysis, we explore the possibility of a research funding strategy that would offer business incentives to the insurance industries, while providing support for unresolved research goals. The model is developed for the case of sudden cardiac death risk, but the concept is applicable to other areas of the medical enterprise.

Racial disparities in the use of catheter ablation for atrial fibrillation and flutter.

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia seen in clinical practice. Catheter ablation is an expensive but potentially curable treatment of AF. We explored differences in the use of catheter ablation for AF in the state of Florida and compared the findings to ablation for atrial flutter. METHODS: We conducted a cross-sectional analysis of all ambulatory and hospital discharge procedures between 2006 and 2009 in Florida. We identified all subjects with AF and atrial flutter, using International Classification of Diseases, 9th Revision codes along with the race/ethnicity of each individual. We used logistic regression to determine the odds ratio (OR) of having a catheter ablation per disease by race and ethnicity adjusted for Charlson score, insurance status, year of the procedure, and facility location. RESULTS: We identified 923,590 subjects with AF and 28,714 with atrial flutter. Catheter ablations were more commonly used in atrial flutter than in AF. The adjusted OR of having catheter ablation for AF for blacks was 0.67 (95% confidence interval [CI]: 0.60-0.75, P < 0.01), and for Hispanics it was 0.83 (95% CI: 0.75-0.91, P < 0.01) when compared to whites. The adjusted OR of having an ablation for atrial flutter for blacks was 1.08 (95% CI: 0.96-1.21, P = 0.16), and for Hispanics it was 0.90 (95% CI: 0.78-1.08, P = 0.20) when compared to whites. CONCLUSIONS: In the state of Florida, black and Hispanic subjects with AF received less catheter ablations, whereas the same minority subjects with atrial flutter received a similar number of ablations compared to white subjects, with the same insurance and comorbidity burden.