Schulte, Phillip J.

BACKGROUNDThe Centers for Medicare & Medicaid Services rewards hospitals that have low 30‐day risk‐standardized mortality rates (RSMR) for heart failure (HF).OBJECTIVETo describe the use of early comfort care for patients with HF, and whether hospitals that more commonly initiate comfort care have higher 30‐day mortality rates.DESIGNA retrospective, observational study.SETTINGAcute care hospitals in the United States.PATIENTSA total of 93,920 fee‐for‐service Medicare beneficiaries admitted with HF from January 2008 to December 2014 to 272 hospitals participating in the Get With The Guidelines‐Heart Failure registry.EXPOSUREEarly comfort care (defined as comfort care within 48 hours of hospitalization) rate.MEASUREMENTSA 30‐day RSMR.RESULTSHospitals' early comfort care rates were low for patients admitted for H F, with no change over time (2.5% to 2.6%, from 2008 to 2014, P = .56). Rates varied widely (0% to 40%), with 14.3% of hospitals not initiating comfort care for any patients during the first 2 days of hospitalization. Risk‐standardized early comfort care rates were not correlated with RSMR (median RSMR = 10.9%, 25th to 75th percentile = 10.1% to 12.0%; Spearman's rank correlation = 0.13; P = .66).CONCLUSIONSHospital use of early comfort care for HF varies, has not increased over time, and on average, is not correlated with 30‐day RSMR. This suggests that current efforts to lower mortality rates have not had unintended consequences for hospitals that institute early comfort care more commonly than their peers.

Improving the quality of care that patients receive is a major focus of clinical research, particularly in the setting of cardiovascular hospitalization. Quality improvement studies seek to estimate and visualize the degree of variability in dichotomous treatment patterns and outcomes across different providers, whereby naive techniques either over-estimate or under-estimate the actual degree of variation. Various statistical methods have been proposed for similar applications including (1) the Gaussian hierarchical model, (2) the semi-parametric Bayesian hierarchical model with a Dirichlet process prior and (3) the non-parametric empirical Bayes approach of smoothing by roughening. Alternatively, we propose that a recently developed method for density estimation in the presence of measurement error, moment-adjusted imputation, can be adapted for this problem. The methods are compared by an extensive simulation study. In the present context, we find that the Bayesian methods are sensitive to the choice of prior and tuning parameters, whereas moment-adjusted imputation performs well with modest sample size requirements. The alternative approaches are applied to identify disparities in the receipt of early physician follow-up after myocardial infarction across 225 hospitals in the CRUSADE registry.

Abstract Aims The incidence of and factors associated with sudden cardiac death (SCD) early after an acute heart failure (HF) hospital admission have not been well defined. Methods and results We assessed SCD and ventricular arrhythmias in the Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure (ASCEND-HF) trial, which included patients with acute HF with reduced or preserved ejection fraction. SCD, resuscitated SCD (RSCD), and sustained ventricular tachycardia/ventricular fibrillation (VT/VF) were adjudicated from randomization through 30 days and were combined into a composite endpoint. Baseline characteristics associated with this composite were determined by logistic regression. RSCD and VT/VF were included as time-dependent variables in a Cox model evaluating the association of these variables with 180-day all-cause mortality. Among 7011 patients, the 30-day all-cause mortality rate was 3.8%; SCD accounted for 17% of these deaths. The 30-day composite event rate was 1.8% (n = 121). Ten patients had more than one event with 30-day Kaplan–Meier event rates of 0.6% for SCD [95% confidence interval (CI) 0.5%–0.9%, n = 43], 0.4% for RSCD (95% CI 0.2%–0.5%, n = 24), and 0.9% for VT/VF (95% CI 0.7%–1.2%, n = 64). In the multivariable model, chronic obstructive pulmonary disease, history of VT, male sex, and longer QRS duration were associated with SCD, RSCD, or VT/VF. A RSCD or VT/VF event was associated with higher 180-day mortality (adjusted hazard ratio 6.6, 95% CI 4.8–9.1, P < 0.0001). Conclusions Approximately 2% of patients admitted for acute HF experienced SCD, RSCD, or VT/VF within 30 days of admission, and SCD accounted for 17% of all deaths within 30 days.

Background Chronic kidney disease ( CKD ) is an adverse prognostic marker for valve intervention patients; however, the prevalence and related outcomes of valvular heart disease in CKD patients is unknown. Methods and Results Included patients underwent echocardiography (1999–2013), had serum creatinine values within 6 months before index echocardiogram, and had no history of valve surgery. CKD was defined as diagnosis based on the International Classification of Diseases, Ninth Revision or an estimated glomerular filtration rate <60 mL/min per 1.73 m 2 . Qualitative assessment determined left heart stenotic and regurgitant valve lesions. Cox models assessed CKD and aortic stenosis ( AS ) interaction for subsequent mortality; analyses were repeated for mitral regurgitation ( MR ). Among 78 059 patients, 23 727 (30%) had CKD ; of these, 1326 were on hemodialysis. CKD patients were older; female; had a higher prevalence of hypertension, hyperlipidemia, diabetes, history of coronary artery bypass grafting/percutaneous coronary intervention, atrial fibrillation, and heart failure ≥mild AS; and ≥mild MR (all P <0.001). Five‐year survival estimates of mild, moderate, and severe AS for CKD patients were 40%, 34%, and 42%, respectively, and 69%, 54%, and 67% for non‐CKD patients. Five‐year survival estimates of mild, moderate, and severe MR for CKD patients were 51%, 38%, and 37%, respectively, and 75%, 66%, and 65% for non‐CKD patients. Significant interaction occurred among CKD , AS / MR severity, and mortality in adjusted analyses; the CKD hazard ratio increased from 1.8 (non‐ AS patients) to 2.0 (severe AS ) and from 1.7 (non‐ MR patients) to 2.6 (severe MR ). Conclusions Prevalence of at least mild AS and MR is substantially higher and is associated with significantly lower survival among patients with versus without CKD . There is significant interaction among CKD , AS / MR severity, and mortality, with increasingly worse outcomes for CKD patients with increasing AS / MR severity.

Obstructive sleep apnea (OSA) is associated with cardiometabolic diseases. Telomere shortening is linked to hypertension, diabetes mellitus, and cardiovascular diseases. Because these conditions are highly prevalent in OSA, we hypothesized that telomere length (TL) would be reduced in OSA patients. We identified 106 OSA and 104 non-OSA subjects who underwent polysomnography evaluation. Quantitative PCR was used to measure telomere length in genomic DNA isolated from peripheral blood samples. The association between OSA and TL was determined using unadjusted and adjusted linear models. There was no difference in TL between the OSA and non-OSA (control) group. However, we observed a J-shaped relationship between TL and OSA severity: the longest TL in moderate-to-severe OSA [4,918 ± 230 (SD) bp] and the shortest TL in mild OSA (4,735 ± 145 bp). Mean TL in moderate-to-severe OSA was significantly longer than in the control group after adjustment for age, sex, body mass index, hypertension, dyslipidemia, and depression (β = 96.0, 95% confidence interval: 15.4–176.6, P = 0.020). In conclusion, moderate-to-severe OSA is associated with telomere lengthening. Our findings support the idea that changes in TL are not unidirectional processes, such that telomere shortening occurs with age and disease but may be prolonged in moderate-to-severe OSA. NEW & NOTEWORTHY Here, we show that moderate-to-severe obstructive sleep apnea is associated with longer telomeres, independent of age and cardiovascular risk factors, challenging the hypothesis that telomere shortening is a unidirectional process related to age/disease. A better understanding of the mechanisms underlying telomere dynamics may identify targets for therapeutic intervention in cardiovascular aging/other chronic diseases.

Background— We explored regional variation in 30-day ischemic stroke mortality and readmission rates and the extent to which regional differences in patients, hospitals, healthcare resources, and a quality of care composite care measure explain the observed variation. Methods and Results— This ecological analysis aggregated patient and hospital characteristics from the Get With The Guidelines–Stroke registry (2007–2011), healthcare resource data from the Dartmouth Atlas of Health Care (2006), and Medicare fee-for-service data on 30-day mortality and readmissions (2007–2011) to the hospital referral region (HRR) level. We used linear regression to estimate adjusted HRR-level 30-day outcomes, to identify HRR-level characteristics associated with 30-day outcomes, and to describe which characteristics explained variation in 30-day outcomes. The mean adjusted HRR-level 30-day mortality and readmission rates were 10.3% (SD=1.1%) and 13.1% (SD=1.1%), respectively; a modest, negative correlation ( r =−0.17; P =0.003) was found between one another. Demographics explained more variation in readmissions than mortality (25% versus 6%), but after accounting for demographics, comorbidities accounted for more variation in mortality compared with readmission rates (17% versus 7%). The combination of hospital characteristics and healthcare resources explained 11% and 16% of the variance in mortality and readmission rates, beyond patient characteristics. Most of the regional variation in mortality (65%) and readmission (50%) rates remained unexplained. Conclusions— Thirty-day mortality and readmission rates vary substantially across HRRs and exhibit an inverse relationship. While regional variation in 30-day outcomes were explained by patient and hospital factors differently, much of the regional variation in both outcomes remains unexplained.

AbstractBackgroundGuidelines suggest that “upstream” P2Y12 receptor antagonists should be considered in patients with non–ST‐segment elevation acute coronary syndromes (NSTE‐ACS).HypothesisEarly use of ticagrelor in patients managed with an invasive strategy would be more effective than clopidogrel because of its more rapid onset of action and greater potency.MethodsIn the PLATO trial, 6792 NSTE‐ACS patients were randomized to ticagrelor or clopidogrel (started prior to angiography) and underwent angiography within 72 hours of randomization. We compared efficacy and safety outcomes of ticagrelor vs clopidogrel as a function of “early” (<3h) vs “late” (≥3h) time to angiography. Adjusted Cox proportional hazards models evaluated interaction between randomized treatment and time from randomization to angiography on subsequent outcomes.ResultsOverall, a benefit of ticagrelor vs clopidogrel for cardiovascular death/myocardial infarction/stroke was seen at day 7 (hazard ratio [HR]: 0.67, P = 0.002), day 30 (HR: 0.81, P = 0.042), and 1 year (HR: 0.80, P = 0.0045). There were no significant interactions in the <3h vs ≥3h groups at any timepoint. For major bleeding, overall there was no significant increase (HR: 1.04, 95% confidence interval: 0.85‐1.27); but there was a significant interaction with no difference between ticagrelor and clopidogrel in the early group (HR: 0.79), but higher bleeding risk with ticagrelor in the late angiography group, at 7 days (HR: 1.51, Pint = 0.002). Patterns were similar at 30 days and 1 year.ConclusionsThe benefit of ticagrelor over clopidogrel was consistent in those undergoing early and late angiography, supporting upstream use of ticagrelor.

Background and Purpose— The recommended treatment for ischemic stroke is tPA (tissue-type plasminogen activator). Although sickle cell disease (SCD) represents no known contraindication to tPA, National Heart Lung and Blood Institute of the National Institutes of Health recommended acute exchange transfusion for stroke in SCD, not tPA. Data on safety and outcomes of tPA in patients are needed to guide tPA use in SCD. Methods— We matched patients from the American Heart Association and American Stroke Association Get With The Guidelines-Stroke registry with SCD to patients without SCD and compared usage, complications, and discharge outcomes after tPA. Multivariable logistic regression models using generalized estimating equations were used to assess outcomes. Results— From 2 016 652 stroke patients admitted to Get With The Guidelines-Stroke sites in the United States, 832 SCD and 3328 non-SCD controls with no differences in admission National Institutes of Health Stroke Scale or blood pressure were identified. Neither the fraction receiving thrombolytic therapy (8.2% for SCD versus 9.4% non-SCD) nor symptomatic intracranial hemorrhage (4.9% of SCD versus 3.2% non-SCD; P =0.4502) was different. There was no difference in a prespecified set of outcome measures for those with SCD compared with controls. Conclusions— Coexistent SCD had no significant impact on the safety or outcome of thrombolytic therapy in acute ischemic stroke. Although the sample size is relatively small, these data suggest that adults with SCD and acute ischemic stroke should be treated with thrombolysis, if they otherwise qualify. Addition studies, however, should track the intracranial hemorrhage rate and provide information on other SCD-related care such as transfusion.

Background Healthcare resources vary geographically, but associations between hospital‐based resources and acute stroke quality and outcomes remain unclear. Methods and Results Using Get With The Guidelines‐Stroke and Dartmouth Atlas of Health Care data, we examined associations between healthcare resource availability, stroke care, and outcomes. We categorized hospital referral regions with high‐, medium‐, or low‐resource levels based on the 2006 national per‐capita availability median of 6 relevant acute stroke care resources. Using multivariable logistic regression, we examined healthcare resource level and in‐hospital quality and outcomes. Of 1 480 308 admitted ischemic stroke patients (2006–2013), 28.8% were hospitalized in low‐, 44.4% in medium‐, and 26.9% in high‐resource hospital referral regions. Quality‐of‐care/timeliness metrics, adjusted length of stay, and in‐hospital mortality were similar across all resource levels. Conclusions Significant variation exists in regional availability of healthcare resources for acute ischemic stroke treatment, yet among Get With the Guidelines‐Stroke hospitals, quality of care and in‐hospital outcomes did not differ by regional resource availability.