Dunlay, Shannon M.

Introduction: Guideline-directed medical therapy (GDMT) dramatically improves outcomes in heart failure with reduced ejection fraction (HFrEF). Our goal was to examine GDMT use in community patients with newly diagnosed HFrEF. Methods: We performed a population-based, retrospective cohort study of all Olmsted County, Minnesota residents with newly diagnosed HFrEF (EF≤40%) 2007-2017. We excluded patients with contraindications to medication initiation (allergy, intolerance, heart rate<50 for beta blockers, SBP <80mm Hg for beta blockers, ACEi/ARB/ARNI; high creatinine (>3 mg/dL ACEi/ARB/ARNI, >2.5 men or >2.0 mg/dL women for mineralocorticoid receptor antagonists, MRAs) or hyperkalemia (potassium >5 meQ/L for ACEi/ARB/ARNI, MRA). We examined use and peak dose achieved for beta blockers, HF beta blockers (metoprolol succinate, carvedilol, bisoprolol), ACEi/ARB/ARNI, and MRA in the first year after HFrEF diagnosis. We used logistic regression to evaluate predictors of GDMT use. Results: From 2007-2017, 1160 patients were diagnosed with HFrEF (mean age 69.7 years, 65.6% men). Most eligible patients received beta blockers (92.1%) and ACEi/ARB/ARNI (86.5%) in the first year after HFrEF. However, only 63.6% of patients were treated with a HF beta blocker, and most did not receive MRAs (82.6%). The percentage of treated patients reaching medication target doses was 20.5% for HF beta blockers, 25.3% for ACEi/ARB/ARNI, and 11.2% for MRA. Compared to patients not seen in an HF clinic, patients seen in an HF clinic (n=380, 32.8%) were at greater odds of receiving beta blockers (OR 3.85, 95% CI 1.79-8.33); HF beta blockers (OR 3.85, 95% CI 2.63-5.26); ACEi/ARB/ARNIs (OR 3.85, 95% CI 2.17-6.67); and MRAs (OR 3.03, 95% CI 2.08-4.35). Other independent predictors of GDMT use included younger age (beta blockers, ACEi/ARB/ARNI), male gender (MRAs), higher SBP (beta blockers, ACEi/ARB/ARNI), lower EF (HF beta blockers), higher BMI (MRAs), and diabetes (ACEi/ARB/ARNI, p<0.05 for each). Conclusions: In this population-based study, most patients with newly diagnosed HFrEF received beta blockers and ACEi/ARB/ARNIs, but goal doses were usually not achieved. GDMT use was much higher in patients referred to an HF clinic.

Introduction: Advanced or “Stage D” heart failure (Adv HF) patients are at high risk of poor outcomes. However, recognition of Adv HF is limited as diagnostic criteria are complex. Administrative algorithms to identify Adv HF could enable better understanding of who has advanced HF and lead to enhanced therapeutics development, dissemination, and outcomes. Methods: In a population-based cohort of all Olmsted County, Minnesota residents with ≥1 HF billing code 2007-2017 (n=9881), we identified all patients with Adv HF (n=753) by applying the gold standard European Society of Cardiology Adv HF criteria via manual medical review by a HF cardiologist. The Adv HF index date was the date the patient first met all ESC criteria. We then developed candidate algorithms to identify Adv HF using only administrative data (billing codes and HF prescriptions or comorbidities known to affect HF outcomes), applied them to the entire HF cohort and assessed their ability to identify patients with Adv HF on or after their Adv HF index date. Results: A single hospitalization (Hsp) for HF or ventricular arrhythmias (VA, 2007-2017) identified all patients with Adv HF (sensitivity 100%), but the PPV was low (36.4%). Requiring more Hsp, other signs of Adv HF such as hyponatremia, acute kidney injury, hypotension or high-dose diuretic use decreased the sensitivity but improved specificity and PPV. As Adv HF was relatively uncommon, negative predictive values (NPV) were high regardless of algorithm characteristics. Conclusions: Algorithms using administrative data can identify patients with Adv HF with clinically useful accuracy.

Introduction: Various risk models have been used to predict mortality after implantation of continuous-flow ventricular assist devices (CF-VADs). Discriminatory power and predictive accuracy vary, and there is a need to develop and validate a contemporary risk score in a large multicenter patient cohort. Hypothesis: We sought to develop an early mortality risk score utilizing a large voluntary research registry of patients implanted with CF-VADs, with the focus on increased discriminatory power. Methods: From May 2004 to May 2015, 1150 patients in the Mechanical Circulatory Support Research Network (MCSRN) registry were randomly divided into equal-sized derivation and validation samples (n=575, each group). Candidate predictors from the derivation sample were subjected to backward stepwise logistic regression until the model with lowest Akaike information criterion value was identified for predicting 90-day mortality. A risk score was developed based on the variables and their respective regression coefficients in the final model. Discriminatory power of the risk score was evaluated using receiver operating characteristic analysis, and calibration was assessed using Hosmer-Lemeshow goodness of fit test. Results: Overall 90-day mortality was 9.4% (n=99). The final logistic regression model consisted of 9 predictors: Age at implant, preoperative mechanical ventilation, serum total bilirubin, hemoglobin, tricuspid valve regurgitation severity, left ventricular end-diastolic diameter, cardiac index, pulmonary capillary wedge pressure, and destination therapy (DT) as an indication for pump placement. The area under the curve was 0.86 in the derivation sample (95% CI, 0.75-0.97) and 0.75 in the validation sample (95% CI, 0.63-0.86). Hosmer-Lemeshow goodness of fit test yielded insignificant values in both samples (p=0.75, p=0.58) consistent with good calibration. Conclusions: The proposed 90-day mortality MCSRN risk score provides highest-to-date discriminatory power when compared to already published models. The risk score is applicable to a contemporary large cohort of patients implanted with CF-VADs for either indication (bridge or DT).

Background The epidemiology of ventricular arrhythmias (VAs) in patients with advanced heart failure (HF) is not well defined. Methods and Results Residents of Olmsted County, Minnesota, with advanced HF from 2007 to 2017 were identified using the 2018 European Society of Cardiology criteria. Billing codes were used to capture VAs; severe VAs requiring emergency care were defined as events associated with emergency department visits or hospitalizations. The cumulative incidence of VAs postadvanced HF was estimated with the Kaplan–Meier method. Multivariable Cox analyses were used to determine the following: (1) Predictors of severe VAs postadvanced HF; and (2) Impact of severe VAs on mortality. Of 936 patients with advanced HF, 261 (27.9%) had a history of VA. The 1‐year cumulative incidence of severe VAs postadvanced HF was 5.4%. Prior VAs (hazard ratio [HR] 2.22 [95% CI, 1.26–3.89], P =0.006) and left ventricular ejection fraction <40% (HR, 3.79 [95% CI, 1.72–8.39], P <0.001) were independently associated with increased severe VA risk postadvanced HF. New‐onset severe VAs were associated with increased mortality (HR, 4.41 [95% CI, 2.80–6.94]; P <0.001), whereas severe VAs in patients with prior VAs had no significant association with mortality risk (HR, 1.08 [95% CI, 0.65–1.78]; P =0.77). Severe VAs were associated with increased mortality in patients without implantable cardioverter defibrillators (HR, 4.89 [95% CI, 2.89–8.26]; P <0.001), but not in patients with implantable cardioverter defibrillators (HR, 1.42 [95% CI, 0.92–2.19]; P =0.11). Conclusions Patients with left ventricular ejection fraction <40% and prior VAs have increased risk of severe VA postadvanced HF. New‐onset severe VAs or severe VAs without implantable cardioverter defibrillators postadvanced HF are associated with increased mortality.

Background: The Kansas City Cardiomyopathy Questionnaire (KCCQ) has been psychometrically evaluated in multiple heart failure (HF) populations, but the comparability of its psychometric properties between men and women is unknown. Methods: Data from 3 clinical trials (1 in stable HF with preserved ejection fraction, 1 each in stable and acute HF with reduced ejection fraction) and 1 prospective cohort study (stable HF with reduced ejection fraction), incorporating 6773 men and 3612 women with HF, were used to compare the construct validity, internal and test-retest reliability, ability to detect change, predict mortality and hospitalizations and minimally important differences between the 2 sexes. Interactions of the KCCQ overall summary and subdomain scores by sex were independently examined. Results: The KCCQ-Overall Summary score correlated well with New York Heart Association functional class in both sexes across patients with stable (correlation coefficient: −0.40 in men versus −0.49 in women) and acute (−0.37 in men versus −0.34 in women) HF. All KCCQ subdomains demonstrated concordant relationships with relevant comparison standards with no significant interactions by sex in 19 of 21 of these construct validity analyses. All KCCQ scores were equally predictive and other psychometric evaluations showed similar results by sex: test-retest reliability (intraclass correlation coefficient 0.94 in men versus 0.92 in women), responsive to change (standardized response mean 1.01 in both sexes), as were the minimally important differences and internal reliability. Conclusions: The psychometric properties of the KCCQ, in terms of validity, prognosis, reliability, and sensitivity to change, are comparable in men and women with HF with preserved ejection fraction and HF with reduced ejection fraction.

Background: Left ventricular assist devices as destination therapy (DT-LVAD) have been shown to decrease mortality compared with medical management, and can improve quality of life for many patients with advanced heart failure. However, while most patients live longer with DT-LVAD than they would have with medical therapy, deaths still occur. We sought to systematically examine the end-of-life care of patients who died with a DT-LVAD at a single center. Methods: All patients undergoing DT-LVAD at the Mayo Clinic in Rochester, Minnesota from January 1, 2007 through September 30, 2014 who subsequently died prior to July 1, 2015 were included. The cause of death was determined based on review of documentation in the electronic medical record, including autopsy reports, death certificates and clinical notes. Details about palliative care consultations, hospice enrollment, hospitalizations, and device deactivation at the end-of-life were obtained from the electronic medical record. Results: Of 89 patients that died with a DT-LVAD (84 HeartMate II, 3 HeartWare, 2 Heartmate XVE, mean age at death 66.1 years), the mean (standard deviation) time from LVAD implantation to death was 2.0 (1.9) years. The most common causes of death were multiorgan failure (25.9%), hemorrhagic stroke (24.7%), and progressive heart failure (20.0%). Nearly half (45.6%) of patients saw palliative care in consultation within a month prior to death. However, only 13 (15.5%) patients enrolled in hospice a median of 11 (range 1-315) days prior to death, including 4 patients with concurrent cancer, 2 with stroke, and 7 with multiorgan failure. The vast majority of patients (78.6%) died in the hospital, and of those hospitalized at death, 87.7% died in the intensive care unit. Most patients hospitalized at death transitioned to a comfort-directed approach to care within 24 hours of dying. In total, 43 (48.3%) patients had their LVAD deactivated prior to death, with all but 3 undergoing deactivation in the hospital. The vast majority of patients died within an hour of LVAD deactivation, and all within 26 hours. Conclusions: In contrast to the general heart failure population, most patients with DT-LVAD die in the hospital and very few enroll in hospice. A significant body of research has demonstrated that patients who die in the intensive care unit and the hospital, as opposed to home or with hospice assistance, experience worse quality of life, quality of death and caregiver outcomes. Potential reasons that patients with DT-LVAD may experience different end-of-life care than other patients with heart failure exist, including that they often experience sudden changes in health status prior to death from acute events such as hemorrhagic stroke. However, further work is needed to understand these differences and to determine whether patients with DT-LVAD are receiving optimal end-of-life care.

Background: Destination therapy left ventricular assist devices (DT-LVADs) have become a treatment option for carefully selected patients with end-stage heart failure. Death is inevitable despite DT-LVAD, with 1-year mortality approximately 20% and median survival 5 years. However, end-of-life processes for LVAD patients vary significantly by institution, provider, and patient preference. Palliative care has played an increasing role in the care of this patient population, yet there remains little data on the most effective way to integrate palliative care and hospice in the DT-LVAD population. Therefore, we aimed to understand the end-of-life perspectives regarding LVADs among both cardiology and palliative care/hospice providers. Methods: Using internet-based, secure methods, we administered a 41-item survey via electronic mail to members of the American Academy of Hospice and Palliative Medicine, European Society of Cardiology-Heart Failure Association, the International Society for Heart and Lung Transplantation, and the Heart Failure Society of America to assess their perspectives on end-of-life care in patients with LVADs. Descriptive statistics were used to analyze data. Fisher’s exact test was used to compare categorical data. Results: From October to November 2011, there were a total of 440 respondents (palliative care/hospice=137; cardiology=303). Most were physicians (80%; n=320) and male (59%; n=232). The majority of providers in both groups viewed an LVAD as a life-sustaining treatment. The groups differed in their attitudes, beliefs, and comfort with end-of-life care in patients with an LVAD. Few palliative care/hospice providers believed a patient needed to be imminently dying to turn off an LVAD; whereas most cardiology providers noted patients should be imminently dying in order to consider LVAD deactivation (2% vs 60%; p=<0.001). Most palliative care/hospice providers believed requests for turning off an LVAD in a patient who is not nearing death should be honored. In contrast, just over half of cardiology providers contended the request should be honored (88% vs 57%; p=<0.001). The provider groups also disagreed on requiring ethics consultation, with most cardiology providers stating it was necessary prior to turning off an LVAD near the end of life (67% vs 24%; p=<0.001). Conclusion: Cardiology providers and palliative care/hospice providers collectively have different perceptions on management of end of life in patients with an LVAD. Bridging the gaps between these two disciplines is a critical first step in creating a more cohesive approach to end-of-life care for these patients—one that honors autonomy but respects individual provider comfort levels.

Background: After left ventricular assist device (LVAD) for end-stage heart failure, cognitive function should improve due to increased cerebral perfusion. However, stroke (a well-known LVAD complication) and even subclinical cerebral ischemia may also occur and manifest as transient or permanent cognitive decline. We sought to describe the incidence and predictors of cognitive decline after LVAD using a valid, sensitive assessment tool. Methods: As part of the INTERMACS registry, cognitive function was assessed before LVAD and at each follow-up with the Trailmaking B Test (TBT), where a subject is timed connecting 25 dots labeled with alternating, consecutive numbers and letters (1, A, 2, B, etc.). The TBT can detect several forms of cognitive impairment, including subclinical stroke. Longer times are worse, and cognitive decline was defined as a clinically important increase from baseline to highest follow-up score using Cohen’s D Effect Size (0.2*baseline SD = 13 s). Patients who completed baseline and at least 1 follow-up TBT were included. Multivariable logistic regression was used to examine the association between patient characteristics and cognitive decline after LVAD. Results: Among 1151 LVAD patients, median age was 60-69, 19% were female, and 40% were INTERMACS profile 1-2 (cardiogenic shock or declining despite inotropes) at implant. Among patients with 12-mo follow-up, mean TBT score improved from 126 at baseline to 123 at 1 yr. In the total cohort, 333 (29%) patients had significant cognitive decline within 12 mo of LVAD placement. Increasing age, chronic renal disease, better baseline TBT score (shorter time), and higher INTERMACS profiles (≥ 3; less severe heart failure) were significantly associated with greater odds of cognitive decline (Figure). Conclusion: In a large LVAD registry, cognitive decline occurred in over a quarter of patients in the year after LVAD and was associated with older age, renal disease, higher baseline cognitive function, and more stable heart failure at implant. These results define the frequency of an important adverse event and provide new insights regarding outcomes after LVAD. Future studies are needed to explore the association of transient and permanent cognitive decline with subsequent stroke, health status, and mortality in patients after LVAD placement.

Background: Patients are surviving longer after myocardial infarction (MI), but little is known about the occurrence and predictors of subsequent hospitalizations. Methods: We identified all Olmsted Count residents with incident MI from 1987-2008 and evaluated Olmsted County hospitalizations through 2009. ICD-9 codes were used to determine the primary reason for hospitalization. To account for repeated events, Andersen-Gill models were used to examine the predictors of hospitalization post-MI. Patients were censored at death or last follow-up. Results: A total of 2617 patients (mean 67 years, 41% female, 32% with ST-elevation MI) were diagnosed with incident MI from 1987-2007 and survived MI hospitalization. Over a mean follow-up of 7.1 years, 10116 hospitalizations occurred equating to a median of 3 (range 0 to 43) per person. Only 37.5% (n=3793) of hospitalizations were due to cardiovascular causes, and of these, most were due to ischemic heart disease (n= 1865, 49.2%) and heart failure (n= 733, 19.3%). The proportion of non-cardiovascular hospitalizations increased over time and was higher in women than men, but did not differ by ST-segment status. Several factors were associated with the risk of hospitalization after adjusting for year of diagnosis and sex (Figure). Biomarker levels were not predictors of hospitalization risk. Conclusions: Two-thirds of hospitalizations among incident MI survivors in the community are for non-cardiovascular reasons, and this proportion has increased. Comorbidities are important predictors of recurrent hospitalizations. Therapies focused solely on MI management may be insufficient to prevent the majority of future admissions.