Long-term Outcomes of Peripheral Artery Disease In Veterans: Analysis of the PEripheral ARtery Disease Long-term Survival Study (PEARLS).

Background: Contemporary research in peripheral artery disease (PAD) remains limited due to lack of a national registry and low accuracy of diagnosis codes to identify PAD patients in electronic health records. Methods & Results: Leveraging a novel natural language processing (NLP) system that identifies PAD with high accuracy using ankle brachial index (ABI) and toe-brachial index (TBI) values, we created a registry of 103,748 patients with new onset PAD patients in the Veterans Health Administration (VHA). Study endpoints include mortality, cardiovascular (hospitalization for acute myocardial infarction or stroke) and limb events (hospitalization for critical limb ischemia or major amputation) and were identified using VA and non-VA encounters. The mean age was 70.6 years; 97.3% were males, and 18.5% self-identified as Black race. The mean ABI value was 0.78 (SD: 0.26) and the mean TBI value was 0.51 (SD: 0.19). Nearly one-third (32.4%) patients were currently smoking and 35.4% formerly smoked. Prevalence of hypertension (86.6%), heart failure (22.7%), diabetes (54.8%), renal failure (23.6%), and chronic obstructive pulmonary disease (35.4%) was high. At 1-year, 9.4% of patients had died. The 1-year incidence of cardiovascular events was 5.6 per 100 patient-years and limb events was 4.5 per 100 patient-years. Conclusions: We have successfully launched a registry of >100,000 patients with a new diagnosis of PAD in the VHA, the largest integrated health system in the U.S. The ncidence of death and clinical events in our cohort is high. Ongoing studies will yield important insights regarding improving care and outcomes in this high-risk group.

Aspirin Dosing for Secondary Prevention of Atherosclerotic Cardiovascular Disease in Patients Treated With P2Y12 Inhibitors.

Background The ADAPTABLE (Aspirin Dosing: A Patient-Centric Trial Assessing Benefits and Long-Term Effectiveness) was a large, pragmatic, randomized controlled trial that found no difference between high- versus low-dose aspirin for secondary prevention of atherosclerotic cardiovascular disease. Whether concomitant P2Y12 inhibitor therapy modifies the effect of aspirin dose on clinical events remains unclear. Methods and Results Participants in ADAPTABLE were stratified according to baseline use of clopidogrel or prasugrel (P2Y12 group). The primary effectiveness end point was a composite of death, myocardial infarction, or stroke; and the primary safety end point was major bleeding requiring blood transfusions. We used multivariable Cox regression to compare the relative effectiveness and safety of aspirin dose within P2Y12 and non-P2Y12 groups. Of 13 815 (91.6%) participants with available data, 3051 (22.1%) were receiving clopidogrel (2849 [93.4%]) or prasugrel (203 [6.7%]) at baseline. P2Y12 inhibitor use was associated with higher risk of the primary effectiveness end point (10.86% versus 6.31%; adjusted hazard ratio [HR], 1.40 [95% CI, 1.22-1.62]) but was not associated with bleeding (0.95% versus 0.53%; adjusted HR, 1.42 [95% CI, 0.91-2.22]). We found no interaction in the relative effectiveness and safety of high- versus low-dose aspirin by P2Y12 inhibitor use. Overall, dose switching or discontinuation was more common in the high-dose compared with low-dose aspirin group, but the pattern was not modified by P2Y12 inhibitor use. Conclusions In this prespecified analysis of ADAPTABLE, we found that the relative effectiveness and safety of high- versus low-dose aspirin was not modified by baseline P2Y12 inhibitor use. Registration https://www.clinical.trials.gov. Unique identifier: NCT02697916.

Risk Factors for Death Among Veterans Following Acute Kidney Injury.

BACKGROUND: Acute kidney injury is prevalent among hospitalized veterans, and associated with increased risk of death following discharge. However, risk factors for death following acute kidney injury have not been well defined. We developed a mortality prediction model using Veterans Health Administration data. METHODS: This retrospective cohort study included inpatients from 2013 through 2018 with a creatinine increase of ≥0.3 mg/dL. We evaluated 45 variables for inclusion in our final model, with a primary outcome of 1-year mortality. Bootstrap sampling with replacement was used to identify variables selected in >60% of models using stepwise selection. Best sub-sets regression using Akaike information criteria was used to identify the best-fitting parsimonious model. RESULTS: A total of 182,683 patients were included, and 38,940 (21.3%) died within 1 year of discharge. The 10-variable model to predict mortality included age, chronic lung disease, cancer within 5 years, unexplained weight loss, dementia, congestive heart failure, hematocrit, blood urea nitrogen, bilirubin, and albumin. Notably, acute kidney injury stage, chronic kidney disease, discharge creatinine, and proteinuria were not selected for inclusion. C-statistics in the primary validation cohorts were 0.77 for the final parsimonious model, compared with 0.52 for acute kidney injury stage alone. CONCLUSION: We identified risk factors for long-term mortality following acute kidney injury. Our 10-variable model did not include traditional renal variables, suggesting that non-kidney factors contribute to the risk of death more than measures of kidney disease in this population, a finding that may have implications for post-acute kidney injury care.

Ninety-Day Risk-Standardized Home Time as a Performance Metric for Cardiac Surgery Hospitals in the United States.

BACKGROUND: Assessing hospital performance for cardiac surgery necessitates consistent and valid care quality metrics. The association of hospital-level risk-standardized home time for cardiac surgeries with other performance metrics such as mortality rate, readmission rate, and annual surgical volume has not been evaluated previously. METHODS: The study included Medicare beneficiaries who underwent isolated or concomitant coronary artery bypass graft, aortic valve, or mitral valve surgery from January 1, 2013, to October 1, 2019. Hospital-level performance metrics of annual surgical volume, 90-day risk-standardized mortality rate, 90-day risk-standardized readmission rate, and 90-day risk-standardized home time were estimated starting from the day of surgery using generalized linear mixed models with a random intercept for the hospital. Correlations between the performance metrics were assessed using the Pearson correlation coefficient. Patient-level clinical outcomes were also compared across hospital quartiles by 90-day risk-standardized home time. Last, the temporal stability of performance metrics for each hospital during the study years was also assessed. RESULTS: Overall, 919 698 patients (age 74.2±5.8 years, 32% women) were included from 1179 hospitals. Median 90-day risk-standardized home time was 71.2 days (25th-75th percentile, 66.5-75.6), 90-day risk-standardized readmission rate was 26.0% (19.5%-35.7%), and 90-day risk-standardized mortality rate was 6.0% (4.0%-8.8%). Across 90-day home time quartiles, a graded decline was observed in the rates of in-hospital, 90-day, and 1-year mortality, and 90-day and 1-year readmission. Ninety-day home time had a significant positive correlation with annual surgical volume (r=0.31; P<0.001) and inverse correlation with 90-day risk-standardized readmission rate (r=-0.40; P <0.001) and 90-day risk-standardized mortality rate (r=-0.60; P <0.001). Use of 90-day home time as a performance metric resulted in a meaningful reclassification in performance ranking of 22.8% hospitals compared with annual surgical volume, 11.6% compared with 90-day risk-standardized mortality rate, and 19.9% compared with 90-day risk-standardized readmission rate. Across the 7 years of the study period, 90-day home time demonstrated the most temporal stability of the hospital performance metrics. CONCLUSIONS: Ninety-day risk-standardized home time is a feasible, comprehensive, patient-centered metric to assess hospital-level performance in cardiac surgery with greater temporal stability than mortality and readmission measures.

Multifaceted Intervention to Improve P2Y12 Inhibitor Adherence After Percutaneous Coronary Intervention: A Stepped Wedge Trial.

Background P2Y12 inhibitor medications are critical following percutaneous coronary intervention (PCI); however, adherence remains suboptimal. Our objective was to assess the effectiveness of a multifaceted intervention to improve P2Y12 inhibitor adherence following PCI. Methods and Results This was a modified stepped wedge trial of 52 eligible hospitals, of which 15 were randomly selected and agreed to participate (29 hospitals declined, and 8 eligible hospitals were not contacted). At each intervention hospital, patient recruitment occurred for 6 months and enrolled patients were followed up for 1 year after PCI. Three control groups were used: patients at intervention hospitals undergoing PCI (1) before the intervention period (preintervention); (2) after the intervention period (postintervention); or (3) at the 8 hospitals not contacted (concurrent controls). The intervention consisted of 4 components: (1) P2Y12 inhibitor delivered to patients' bedside after PCI; (2) education on importance of P2Y12 inhibitors; (3) automated reminder telephone calls to refill medication; and (4) outreach to patients if they delayed refilling P2Y12 inhibitor. The primary outcomes were as follows: (1) proportion of patients with delays filling P2Y12 inhibitor at hospital discharge and (2) proportion of patients who were adherent in the year after PCI using pharmacy refill data. Primary analysis compared intervention with preintervention control patients. There were 1377 (intent-to-treat) potentially eligible patients, of whom 803 (per protocol) were approached at intervention sites versus 5910 preintervention, 2807 postintervention, and 4736 concurrent control patients. In the intent-to-treat analysis, intervention patients were less likely to delay filling P2Y12 at hospital discharge (-3.4%; 98.3% CI, -1.2% to -5.6%) and more likely to be adherent to P2Y12 (4.1%; 98.3% CI, 1.0%-7.1%) at 1 year, but had more clinical events (3.2%; 98.3% CI, 2.3%-4.1%) driven by repeated PCI compared with preintervention patients. In post hoc analysis looking at myocardial infarction, stroke, and death, intervention patients had lower event rates compared with preintervention patients (-1.7%; 98.3% CI, -2.3% to -1.1%). Conclusions A 4-component intervention targeting P2Y12 inhibitor adherence was difficult to implement. The intervention produced mixed results. It improved P2Y12 adherence, but there was also an increase in repeat PCI. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT01609842.

Evaluation of Risk-Adjusted Home Time After Hospitalization for Heart Failure as a Potential Hospital Performance Metric.

Importance: Thirty-day home time, defined as time spent alive and out of a hospital or facility, is a novel, patient-centered performance metric that incorporates readmission and mortality. Objectives: To characterize risk-adjusted 30-day home time in patients discharged with heart failure (HF) as a hospital-level quality metric and evaluate its association with the 30-day risk-standardized readmission rate (RSRR), 30-day risk-standardized mortality rate (RSMR), and 1-year RSMR. Design, Setting, and Participants: This hospital-level cohort study retrospectively analyzed 100% of Medicare claims data from 2 968 341 patients from 3134 facilities from January 1, 2012, to November 30, 2017. Exposures: Home time, defined as time spent alive and out of a short-term hospital, skilled nursing facility, or intermediate/long-term facility 30 days after discharge. Main Outcomes and Measures: For each hospital, a risk-adjusted 30-day home time for HF was calculated similar to the Centers for Medicare & Medicaid Services risk-adjustment models for 30-day RSRR and RSMR. Hospitals were categorized into quartiles (lowest to highest risk-adjusted home time). The correlations between hospital rates of risk-adjusted 30-day home time and 30-day RSRR, 30-day RSMR, and 1-year RSMR were estimated using the Pearson correlation coefficient. Distribution of days lost from a perfect 30-day home time were calculated. Reclassification of hospital performance using 30-day home time vs 30-day RSRR was also evaluated. Results: Overall, 2 968 341 patients (mean [SD] age, 81.0 [8.3] years; 53.6% female) from 3134 hospitals were included in this study. The median hospital risk-adjusted 30-day home time for patients with HF was 21.77 days (range, 8.22-28.41 days). Hospitals in the highest quartile of risk-adjusted 30-day home time (best-performing hospitals) were larger (mean [SD] number of beds, 285 [275]), with a higher volume of patients with HF (median, 797 patients; interquartile range, 395-1484) and were more likely academic hospitals (59.9%) with availability of cardiac surgery (51.1%) and cardiac rehabilitation (68.8%). A total of 72% of home time lost was attributable to stays in an intermediate- or long-term care facility (mean [SD], 2.65 [6.44] days) or skilled nursing facility (mean [SD], 3.96 [9.04] days), 13% was attributable to short-term readmissions (mean [SD], 1.25 [3.25] days), and 15% was attributable to death (mean [SD], 1.37 [6.04] days). Among 30-day outcomes, the 30-day RSRR and 30-day RSMR decreased in a graded fashion across increasing 30-day home time categories (correlation coefficients: 30-day RSRR and 30-day home time, -0.23, P < .001; 30-day RSMR and 30-day home time, -0.31, P < .001). Similar patterns of association were also noted for 1-year RSMR and 30-day home time (correlation coefficient, -0.35, P < .001). Thirty-day home time meaningfully reclassified hospital performance in 30% of the hospitals compared with 30-day RSRR and in 25% of hospitals compared with 30-day RSMR. Conclusions and Relevance: In this study, 30-day home time among patients discharged after a hospitalization for HF was objectively assessed as a hospital-level quality metric using Medicare claims data and was associated with readmission and mortality outcomes and with reclassification of hospital performance compared with 30-day RSRR and 30-day RSMR.

Sex Differences in Management and Outcomes of Critical Limb Ischemia in the Medicare Population.

BACKGROUND: Evidence about sex differences in management and outcomes of critical limb ischemia (CLI) is conflicting. METHODS: We identified Fee-For-Service Medicare patients within the 5% enhanced sample file who were diagnosed with new incident CLI between 2015 and 2017. For each beneficiary, we identified all hospital admissions, outpatient encounters and procedures, and pharmacy prescriptions. Outcomes included 90-day mortality and major amputation. RESULTS: Incidence of CLI declined from 2.80 (95% CI, 2.72-2.88) to 2.47 (95% CI, 2.40-2.54) per 1000 person from 2015 to 2017, P<0.01. Incidence was lower in women compared with men (2.19 versus 3.11 per 1000) but declined in both groups. Women had a lower prevalence of prescription of any statin (48.4% versus 52.9%, P<0.001) or high-intensity statins (15.3% versus 19.8%, P<0.01) compared with men. Overall, 90-day revascularization rate was 52%, and women were less likely to undergo revascularization (50.1% versus 53.6%, P<0.01) compared with men. Women had a similar unadjusted (9.9% versus 10.3%, P=0.5) and adjusted 90-day mortality (adjusted rate ratio, 0.98 [95% CI, 0.85-1.12], P=0.7) compared with men. Over the study period, unadjusted 90-day mortality remained unchanged for men (10.4% in 2015 to 9.9% in 2017, Pfor trend=0.3), and women (9.5% in 2015 to 10.6% in 2017, Pfor trend=0.2). Men had higher unadjusted (12.9% versus 8.9%, P<0.001) and adjusted risk of 90-day major amputation (adjusted rate ratio, 1.30 [95% CI, 1.14-1.48], P<0.001). One-third of patients with CLI underwent major amputation without a diagnostic angiogram or trial of revascularization in the preceding 90 days regardless of the sex. CONCLUSIONS: Women with new incident CLI are less likely to receive statin or undergo revascularization at 90 days compared with men. However, the differences were small. There was no difference in risk of 90-day mortality between both sexes. Graphic Abstract: A graphic abstract is available for this article.

Evaluation of Risk-Adjusted Home Time After Acute Myocardial Infarction as a Novel Hospital-Level Performance Metric for Medicare Beneficiaries.

BACKGROUND: The utility of 30-day risk-standardized readmission rate (RSRR) as a hospital performance metric has been a matter of debate. Home time is a patient-centered outcome measure that accounts for rehospitalization, mortality, and postdischarge care. We aim to characterize risk-adjusted 30-day home time in patients with acute myocardial infarction (AMI) as a hospital-level performance metric and to evaluate associations with 30-day RSRR, 30-day risk-standardized mortality rate (RSMR), and 1-year RSMR. METHODS: The study included 984 612 patients with AMI hospitalization across 2379 hospitals between 2009 and 2015 derived from 100% Medicare claims data. Home time was defined as the number of days alive and spent outside of a hospital, skilled nursing facility, or intermediate-/long-term acute care facility 30 days after discharge. Correlations between hospital-level risk-adjusted 30-day home time and 30-day RSRR, 30-day RSMR, and 1-year RSMR were estimated with the Pearson correlation. Reclassification in hospital performance using 30-day home time versus 30-day RSRR and 30-day RSMR was also evaluated. RESULTS: Median hospital-level risk-adjusted 30-day home time was 24.0 days (range, 15.3-29.0 days). Hospitals with higher home time were more commonly academic centers, had available cardiac surgery and rehabilitation services, and had higher AMI volume and percutaneous coronary intervention use during the AMI hospitalization. Of the mean 30-day home time days lost, 58% were to intermediate-/long-term care or skilled nursing facility stays (4.7 days), 30% to death (2.5 days), and 12% to readmission (1.0 days). Hospital-level risk-adjusted 30-day home time was inversely correlated with 30-day RSMR (r=-0.22, P<0.0001) and 30-day RSRR (r=-0.25, P<0.0001). Patients admitted to hospitals with higher risk-adjusted 30-day home time had lower 30-day readmission (quartile 1 versus 4, 21% versus 17%), 30-day mortality rate (5% versus 3%), and 1-year mortality rate (18% versus 12%). Furthermore, 30-day home time reclassified hospital performance status in ≈30% of hospitals versus 30-day RSRR and 30-day RSMR. CONCLUSIONS: Thirty-day home time for patients with AMI can be assessed as a hospital-level performance metric with the use of Medicare claims data. It varies across hospitals, is associated with postdischarge readmission and mortality outcomes, and meaningfully reclassifies hospital performance compared with the 30-day RSRR and 30-day RSMR metrics.

Trends in Hospitalization, Management, and Clinical Outcomes Among Veterans With Critical Limb Ischemia.

BACKGROUND: Contemporary patterns in management and outcomes of critical limb ischemia among United States veterans are unknown. METHODS: We used Veterans Health Administration data to identify patients admitted for critical limb ischemia between 2005 and 2014. We examined temporal trends in incidence, management, and outcomes. RESULTS: A total of 20 938 veterans with critical limb ischemia were hospitalized between 2005 and 2014. Mean age was 67.8 years. Incidence decreased from 0.3 to 0.24 per 1000 persons from 2005 to 2013, P<0.01. During the study period, there was a temporal increase in use of revascularization within 90 days of hospitalization-endovascular (11.2% in 2005 to 18.4% in 2014), surgical (23.8% in 2005 to 26.4% in 2014), and hybrid (6.2% in 2005 to 13.1% in 2014, P value for trend <0.01). Statin prescriptions increased from 47.4% in 2005 to 60.9% in 2014 (P value for trend <0.01). There was a significant decline in risk-adjusted mortality (11.8% in 2005 to 9.7% in 2014) and major amputation (19.8% in 2005 to 12.9% in 2014; P value for trend <0.01 for both) at 90 days. In adjusted analyses, revascularization was associated with a lower risk of mortality (RR, 0.45 [95% CI, 0.41-0.50]; P<0.001) and major amputation at 90 days (RR, 0.23 [95% CI, 0.21-0.26]; P<0.001). Nearly half of the patients who underwent amputation did not receive an invasive vascular procedure within the preceding 90 days. There was large site-level variation in the use of revascularization (median rate, 41.7% [interquartile range, 12.5%-53.2%]). Differences in patient case-mix explained only 8% of site-level variation in receipt of revascularization. CONCLUSIONS: Over the past decade, use of revascularization increased among veterans with critical limb ischemia, which was accompanied by a reduction in mortality and major amputation. However, opportunities to further improve care in this high-risk population still remain.

Network Meta-Analysis of Percutaneous Intervention-Based Revascularization Strategies for ST-Elevation Myocardial Infarction and Concomitant Multi-Vessel Disease.

BACKGROUND: In patients with ST elevation myocardial infarction (STEMI) and concomitant multi-vessel disease (MVD), primary percutaneous coronary intervention (PCI) of the culprit vessel is the preferred reperfusion strategy. However, optimum timing of revascularization for non-culprit artery is unclear. In this Bayesian network meta-analysis (NMA), we compared different PCI-based revascularization strategies in STEMI patients with MVD. METHODS: 11 randomized controlled trials (RCTs) were selected using MEDLINE, EMBASE and CENTRAL (Inception to September 2017). For all outcomes, median estimate of odds ratio from posterior distribution with corresponding 95% credible interval was calculated. The Surface under the Cumulative Ranking Curve (SUCRA) metric was used to estimate the relative ranking probability of each intervention. Sensitivity analysis was conducted by excluding the RCTs in which the staged intervention was performed after two weeks of the index procedure or post discharge. RESULTS: In this NMA of 3172 patients, CR-I (instant complete revascularization) was associated with 40% relative risk reduction in all-cause mortality compared with IRA (infarct related artery) [0.60 (0.31-0.89)]. CR-I was superior to CR-S (staged complete revascularization) [0.42 (0.22-0.70)] and IRA [0.50(0.29-0.72)] in reducing the risk of re- infarction. Both CR-I and CR-S significantly reduced the risk of repeat revascularization compared to IRA, whereas the risk of CIN (contrast induced nephropathy) and major bleeding was similar across all interventions. Sensitivity analysis showed, that CR-I was a better strategy compared with CR-S [0.34 (0.12-0.74)] and IRA (0.60 [0.36-0.97]) in reducing all-cause mortality. CONCLUSIONS: In this NMA, CR-I was associated with reduction in all-cause mortality and re- infarction compared with IRA.

Epidemiology of lower extremity peripheral artery disease in veterans.

OBJECTIVE: The objective of this study was to describe the epidemiology, clinical features, outcomes, and predictors of mortality in veterans with peripheral artery disease (PAD). METHODS: We used national data from the Veterans Health Administration from fiscal years 2009 to 2011 to identify patients with a new diagnosis of PAD. Within this cohort, we describe characteristics of the patients, use of recommended medications, and clinical outcomes during a 3-year follow-up (fiscal year 2014). We used Cox proportional hazards regression to examine predictors of mortality and adverse limb outcomes (amputation and hospitalization for critical limb ischemia [CLI]) during follow-up. RESULTS: A total of 175,865 patients with a new diagnosis of PAD were included. The mean age was 69.9 years; 97.8% were male, and 67.7% were white. Nearly 77% of patients had hypertension, 46.5% had diabetes, 23% had chronic obstructive pulmonary disease, and 12.9% had renal failure. A prescription for statins was filled by 60.8%, and 34.9% received high-intensity statins within 90 days of PAD diagnosis. At 1 year, 2.6% underwent revascularization, 1.3% developed CLI, and 1.1% underwent amputation. During a median follow-up of 3.8 years, a total of 28.6% patients died (6.7% at 1 year), and 3.7% developed a limb outcome (2.0% at 1 year). Predictors of mortality included advanced age, comorbidities, and CLI or amputation at presentation. In contrast, prescription with statins was associated with lower mortality. Similar findings were present with regard to predictors of adverse limb outcomes, except that older age was associated with a lower risk of amputation or CLI. CONCLUSIONS: We found that veterans with PAD have a high prevalence of comorbid conditions and have a significant risk of mortality and limb loss. A substantial proportion of veterans with PAD are not prescribed recommended medications, especially statin therapy. Our data highlight important opportunities for improving care of veterans with PAD.

Association of Hospital Prices for Coronary Artery Bypass Grafting With Hospital Quality and Reimbursement.

Although prices for medical services are known to vary markedly between hospitals, it remains unknown whether variation in hospital prices is explained by differences in hospital quality or reimbursement from major insurers. We obtained "out-of-pocket" price estimates for coronary artery bypass grafting (CABG) from a random sample of US hospitals for a hypothetical patient without medical insurance. We compared hospital CABG price to (1) "fair price" estimate from Healthcare Bluebook data using each hospital's zip code and (2) Society of Thoracic Surgeons composite CABG quality score and risk-adjusted mortality rate. Of 101 study hospitals, 53 (52.5%) were able to provide a complete price estimate for CABG. The mean price for CABG was $151,271 and ranged from $44,824 to $448,038. Except for geographic census region, which was weakly associated with price, hospital CABG price was not associated with other structural characteristics or CABG volume (p >0.10 for all). Likewise, there was no association between a hospital's price for CABG with average reimbursement from major insurers within the same zip code (ρ = 0.07, p value = 0.6), Society of Thoracic Surgeoncomposite quality score (ρ = 0.08, p value = 0.71), or risk-adjusted CABG mortality (ρ = -0.03 p value = 0.89). In conclusion, the price of CABG varied more than 10-fold across US hospitals. There was no correlation between price information obtained from hospitals and the average reimbursement from major insurers in the same market. We also found no evidence to suggest that hospitals that charge higher prices provide better quality of care.

Racial disparities in outcomes after cardiac surgery: the role of hospital quality.

Patients from racial and ethnic minorities experience higher mortality after cardiac surgery compared to white patients, both during the early postoperative phase as well as long term. A number of factors likely explain poor outcomes in black and minority patients, which include differences in biology, comorbid health conditions, socioeconomic background, and quality of hospital care. Recent evidence suggests that a major factor underlying excess mortality in these groups is due to their over-representation in low-quality hospitals, where all patients regardless of race have worse outcomes. In this review, we examine the factors underlying racial disparities in outcomes after cardiac surgery, with a primary focus on the role of hospital quality.

Trends in the use of percutaneous ventricular assist devices: analysis of national inpatient sample data, 2007 through 2012.

IMPORTANCE: Percutaneous ventricular assist devices (PVADs) provide robust hemodynamic support compared with intra-aortic balloon pumps (IABPs), but clinical use patterns are unknown. OBJECTIVE: To examine contemporary patterns in PVAD use in the United States and compare them with use of IABPs. DESIGN, SETTING, AND PARTICIPANTS: Retrospective study of adults older than 18 years who received a PVAD or IABP while hospitalized in the United States (2007-2012). MAIN OUTCOMES AND MEASURES: Temporal trends in utilization, patient and hospital characteristics, in-hospital mortality, and cost of PVAD use compared with IABP. RESULTS: During 2007 through 2012, utilization of PVADs increased 30-fold (4.6 per million discharges in 2007 to 138 per million discharges in 2012; P for trend < .001) while utilization of IABPs decreased from 1738 per million discharges in 2008 to 1608 per million discharges in 2012 (P for trend = .02). In 2007, an estimated 72 hospitals used PVADs, increasing to 477 in 2011 (P for trend < .001). The number of hospitals with an annual volume of 10 or more PVAD procedures per year increased from 0 in 2007 to 102 in 2011 (21.4% of PVAD-using hospitals; P for trend < .001). Among PVAD recipients, 67.3% had a diagnosis of cardiogenic shock or acute myocardial infarction (AMI). There was a temporal increase in the use of PVADs in older patients and patients with AMI, hypertension, diabetes mellitus, and chronic kidney disease (P for trend < .001 for all). Overall, mortality in PVAD recipients was 28.8%, and mean (SE) hospitalization cost was $85,580 ($4165); both were significantly higher in PVAD recipients with cardiogenic shock (mortality, 47.5%; mean [SE] cost, $113,695 [$6260]; P < .001 for both). The PVAD recipients were less likely than IABP recipients to have cardiogenic shock (34.3% vs 41.2%; P = .001), AMI (48.0% vs 68.6%; P < .001), and undergo coronary artery bypass graft surgery (6.2% vs 43.2%; P < .001), but more likely to undergo percutaneous coronary intervention (70.9% vs 40.4%; P < .001). In propensity-matched analysis, PVADs were associated with higher mortality compared with IABP (odds ratio, 1.23 [95% CI, 1.06-1.43]; P = .007). CONCLUSIONS AND RELEVANCE: There has been a substantial increase in the use of PVADs in recent years with an accompanying decrease in the use of IABPs. Given the high mortality, associated cost, and uncertain evidence for a clear benefit, randomized clinical trials are needed to determine whether use of PVADs leads to improved patient outcomes.

Using risk prediction tools in survivors of in-hospital cardiac arrest.

In-hospital cardiac arrests are common and associated with poor outcomes. Predicting the likelihood of favorable neurological survival following resuscitation from an in-hospital cardiac arrest could provide important information for physicians and families. In this article, we review the literature regarding predictors of survival following in-hospital cardiac arrest. Specifically, we describe the Cardiac Arrest Survival Postresuscitation In-hospital (CASPRI) score that was recently developed and validated using data from the Get With the Guidelines-Resuscitation registry. The CASPRI score includes 11 predictor variables: age, initial cardiac arrest rhythm, defibrillation time, baseline neurological status, duration of resuscitation, mechanical ventilation, renal insufficiency, hepatic insufficiency, sepsis, malignancy, and hypotension. The score is simple to use at the bedside, has excellent discrimination and calibration, and provides robust estimates of the probability of favorable neurological survival after an in-hospital cardiac arrest. Thus, CASPRI may be valuable in establishing expectations by physicians and families in the critical period after these high-risk events.

The impact of hospital cardiac specialization on outcomes after coronary artery bypass graft surgery: analysis of medicare claims data.

BACKGROUND: Hospital volume has been widely embraced as a proxy measure for hospital quality; little attention has been focused on an alternative quality measure-hospital specialization. Even though specialization occurs on a continuum, previous studies have only focused on a small number of highly specialized hospitals (single-specialty hospitals). Studies on the broad relationship between hospital specialization and outcomes after coronary artery bypass grafting (CABG) are limited. METHODS AND RESULTS: We conducted a retrospective cohort study of 705 084 Medicare patients (1130 hospitals) who underwent CABG during 2001 to 2005. We stratified hospitals into quintiles, based on their degree of cardiac specialization (proportion of a hospital's Medicare discharges classified as Major Diagnostic Category 5-cardiovascular diseases). We compared patient and hospital characteristics and outcomes across quintiles of cardiac specialization. Patient characteristics were generally similar across quintiles, but mean annual CABG volume increased progressively from quintile 1 (least specialized) to quintile 5 (most specialized). Unadjusted 30-day mortality was similar at hospitals in quintiles 1 to 4 (4.8%), except quintile 5, where mortality was lower (4.3%). A strong inverse association was seen between hospital cardiac specialization and 30-day mortality after adjustment for patient characteristics (P(trend)=0.001). However, this was no longer significant after additional adjustment for CABG volume (P(trend)=0.65). Results were similar for other mortality outcomes and length of stay. CONCLUSIONS: After accounting for patient characteristics and CABG volume, greater cardiac specialization was not associated with clinically significant improvement in patient outcomes. This study calls into question the benefit of cardiac specialization for the vast majority of CABG-performing US hospitals.

Relation of heart rate response to exercise with prognosis and atherosclerotic progression after coronary artery bypass grafting.

Impaired heart rate response to exercise is associated with adverse clinical outcomes in healthy adults and those with established coronary artery disease. It is unclear whether this association persists in subjects who have undergone coronary artery bypass grafting (CABG). In this study, 920 subjects enrolled in the Post CABG trial who had undergone CABG with patent saphenous vein grafts at baseline and known to have discontinued beta blockers before exercise were studied. A maximal symptom-limited exercise treadmill test was performed on study entry. Chronotropic variables were measured at peak exercise. Participants were followed for a composite end point of death, myocardial infarction, stroke, or revascularization. Quantitative coronary angiography was performed at follow-up and compared with baseline angiography, with prespecified angiographic end points of the substantial progression of graft disease and complete occlusion. In multivariate analysis, a low chronotropic index was strongly associated with an increased risk for the composite clinical end point (p for trend = 0.04) and angiographic complete occlusion (p for trend = 0.007) but only weakly associated with angiographic substantial progression (p for trend = 0.07). In conclusion, impaired chronotropic response to exercise identifies subjects at risk for clinical outcomes and graft occlusion, even after revascularization with CABG.

Substance use among medical students: time to reignite the debate?

BACKGROUND: Substance use among medical students could impact on the conduct, safety and efficiency of future doctors. Despite serious medicolegal, ethical and political ramifications, there is little research on the subject, especially from the Indian subcontinent. We aimed to explore the patterns of substance use among a sample of medical students from the Indian subcontinent. METHODS: An opportunistic, cross-sectional survey of medical students from 76 medical schools attending an inter-medical school festival. A brief self-reported questionnaire was used to identify current and lifetime use of tobacco, alcohol, cannabis, heroin and non-prescription drugs. Multivariable logistic regression analysis was used to identify factors associated with illicit substance use. RESULTS: Responses from 2135 medical students were analysed. Current alcohol and tobacco (chewable or smoked) use was reported by 7.1% and 6.1% of the respondents, respectively. Lifetime use of illicit substances was reported by 143 (6.7%) respondents. Use of illicit substances was strongly associated with use of tobacco, alcohol and non-prescription drugs. CONCLUSION: This study provides a snapshot of the problem of substance use among medical students from the Indian subcontinent. The reported prevalence of alcohol and illicit substance use in our sample was lower, while tobacco use was similar, when compared with data from western studies. Further research is needed from the Indian subcontinent to study nationwide patterns of substance use among medical students, and to identify important determinants and reinforce protective factors. Strategies need to be developed for supporting students with a substance use problem.