Dunlay, Shannon M.

VT Ablation in LVAD RecipientsBackgroundPatients with advanced heart failure (HF) are predisposed to ventricular arrhythmias (VAs), particularly following implantation of a left ventricular assist device (LVAD). There is minimal evidence for appropriate management strategies.ObjectivesThis study aimed to compare the burden of VA and response to ablation performed either before or following LVAD implantation.MethodsWe created a retrospective cohort of patients who underwent both VA ablation and Heart Mate II (Thoratec, Pleasanton, CA, USA) LVAD implantation at Mayo Clinic (Rochester, MN, USA). Patients were stratified based on whether they underwent VA ablation before (pre‐LVAD) or after LVAD (post‐LVAD) implantation. Descriptive analyses assessed 6‐month arrhythmia burden in relation to LVAD implantation and VA ablation.ResultsA total of 9 patients underwent both LVAD implantation and VA ablation. There were 3 and 6 patients, respectively, in the pre‐LVAD and post‐LVAD cohorts. Among patients in the pre‐LVAD cohort, the median number of VAs tended to increase after ablation (9 vs. 72) and decreased after LVAD implantation (72 vs. 63). Similarly among patients in the post‐LVAD cohort, the median burden of VAs increased after LVAD implantation (1 vs. 22) and the median burden decreased after ablation (22 vs. 13). Two of 6 patients had substrate related to the LVAD inflow cannula site, while other substrate was not related directly to the cannula.ConclusionsIn patients with progressive HF and LVAD implantation, ablation is associated with reduced VA rates. In LVAD patients, most VAs arise from substrate unrelated to the inflow cannula site.

Background— Despite the ability of left ventricular assist device as destination therapy (DT-LVAD) to prolong survival for many patients with advanced heart failure, little is known about the eventual end-of-life care that patients with DT-LVAD receive. Methods and Results— All patients undergoing DT-LVAD at the Mayo Clinic in Rochester, Minnesota, from January 1, 2007, to September 30, 2014, who subsequently died before July 1, 2015, were included. Information about end-of-life care was obtained from documentation in the electronic medical record. Of 89 patients who died with a DT-LVAD, the median (25th–75th percentile) time from left ventricular assist device implantation to death was 14 (4–31) months. The most common causes of death were multiorgan failure (26%), hemorrhagic stroke (24%), and progressive heart failure (21%). Nearly half (46%) of the patients saw palliative care within 1 month before death; however, only 13 (15%) patients enrolled in hospice a median 11 (range 1–315) days before death. Most patients (78%) died in the hospital, of which 88% died in the intensive care unit. In total, 49 patients had their left ventricular assist device deactivated before death, with all but 3 undergoing deactivation in the hospital. Most patients died within an hour of left ventricular assist device 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 few use hospice. Further work is needed to understand these differences and to determine whether patients with DT-LVAD are receiving optimal end-of-life care.

Objectives To investigate the effect of the number and type of comorbid conditions on death and hospitalizations in individuals with incident heart failure ( HF ). Design Population‐based cohort study. Setting Olmsted County, Minnesota. Participants Olmsted County, Minnesota, residents with incident HF from 2000 to 2010 (mean age 76 ± 14, 56% female) (N = 1,714). Measurements The prevalence of 16 chronic conditions obtained at HF diagnosis classified into three groups: cardiovascular ( CV ) related, other physical, and mental. Results The mean number of conditions per participant was 2.6 ± 1.5 for CV ‐related conditions, 1.3 ± 1.1 for other physical conditions, and 0.30 ± 0.61 for mental conditions. After a mean follow‐up of 4.2 years, 1,073 deaths and 6,306 hospitalizations had occurred. After adjustment for age, sex, ejection fraction, in‐ or outpatient status, and number of other conditions, an increase of one other physical condition was associated with a 14% ( HR = 1.14, 95% CI = 1.08–1.20) greater risk of death and a 26% ( HR = 1.26, 95% CI = 1.20–1.32) greater risk of hospitalization, and an increase of one mental condition was associated with a 31% ( HR = 1.31, 95% CI = 1.19–1.44) greater risk of death and an 18% ( HR = 1.18, 95% CI = 1.07–1.29) greater risk of hospitalization. In contrast, an increase of one CV ‐related condition was not associated with greater risk of death and was associated with a 10% ( HR = 1.10, 95% CI = 1.06–1.15) greater risk of hospitalization. Conclusion CV ‐related conditions are the most common type of comorbid conditions in individuals with HF , but other physical and mental conditions are more strongly associated with death and hospitalizations. This underscores the effect of non‐ CV conditions on outcomes in HF .

Guidelines for performing concomitant procedures (CPs) in patients undergoing continuous flow-left ventricular assist device (CF-LVAD) implantation are unclear. The impact of an increased surgical complexity outside the constraint of landmark clinical trials has not been reported. From May 2004 to December 2013, 614 patients (499 males, 81%) underwent CF-LVAD implant at our institutions. Median age was 57 ± 13 years and 364 (59%) were bridge to transplantation (BTT). Survival and device-related complications were analyzed and stratified based on the surgical intervention. A total of 398 patients (65%) underwent CF-LVAD implantation without CPs. The remaining patients (35%, n = 216) were grouped according to various CPs. Survival was comparable between groups and not influenced by the CP, device type, or indication for implant. Time-to-first device-related adverse event was shorter in patients with CPs. Regression analysis revealed only increased age (p = 0.03), increase in baseline creatinine (p = 0.002), cardiopulmonary bypass time (p = 0.03), and decreased body mass index (p = 0.03) were predictors of mortality, whereas only age (p = 0.006) and prior sternotomy (p = 0.02) were related to adverse device-related events. Performing CPs leads to comparable survival and device-related outcomes after implant. The decision to perform CPs should be balanced with age, preoperative renal dysfunction, and projected complexity of surgery.

Background— Contemporary data are lacking on the prognostic importance of heart failure (HF) after myocardial infarction (MI). We evaluated the prognostic impact of HF post MI according to preserved/reduced ejection fraction and the timing of its occurrence. Methods and Results— All Olmsted County, Minnesota, residents (n=2596) with incident MI diagnosed in 1990 to 2010 and no prior HF were followed through March 2013. Cox models were used to examine (1) the hazard ratios for death associated with HF type and timing and (2) secular trends in survival by HF status. During a mean follow-up of 7.6 years, there were 1116 deaths, 634 in the 902 patients who developed HF (70%) and 482 in the 1694 patients who did not develop HF (28%). After adjustment for age and sex, HF as a time-dependent variable was strongly associated with mortality (hazard ratio =3.31, 95% confidence interval: 2.93–3.75), particularly from cardiovascular causes (hazard ratio =4.20, 95% confidence interval: 3.50–5.03). Further adjustment for MI severity and comorbidity, acute treatment, and recurrent MI moderately attenuated these associations (hazard ratio =2.49 and 2.94 for all-cause and cardiovascular mortality, respectively). Mortality did not differ by ejection fraction, but was higher for delayed- versus early-onset HF ( P for heterogeneity =0.002). The age- and sex-adjusted 5-year survival estimates in 2001 to 2010 versus 1990 to 2000 were 82% and 81% among HF-free and 61% and 54% among HF patients, respectively ( P for heterogeneity of trends =0.05). Conclusions— HF markedly increases the risk of death after MI. This excess risk is similar regardless of ejection fraction but greater for delayed- versus early-onset HF. Mortality after MI declined over time, primarily as a result of improved HF survival.

Background— Congestion is the most frequent cause for hospitalization in acute decompensated heart failure. Although decongestion is a major goal of acute therapy, it is unclear how the clinical components of congestion (eg, peripheral edema, orthopnea) contribute to outcomes after discharge or how well decongestion is maintained. Methods and Results— A post hoc analysis was performed of 496 patients enrolled in the Diuretic Optimization Strategy Evaluation in Acute Decompensated Heart Failure (DOSE-AHF) and Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARRESS-HF) trials during hospitalization with acute decompensated heart failure and clinical congestion. A simple orthodema congestion score was generated based on symptoms of orthopnea (≥2 pillows=2 points, <2 pillows=0 points) and peripheral edema (trace=0 points, moderate=1 point, severe=2 points) at baseline, discharge, and 60-day follow-up. Orthodema scores were classified as absent (score of 0), low-grade (score of 1–2), and high-grade (score of 3–4), and the association with death, rehospitalization, or unscheduled medical visits through 60 days was assessed. At baseline, 65% of patients had high-grade orthodema and 35% had low-grade orthodema. At discharge, 52% patients were free from orthodema at discharge (score=0) and these patients had lower 60-day rates of death, rehospitalization, or unscheduled visits (50%) compared with those with low-grade or high-grade orthodema (52% and 68%, respectively; P =0.038). Of the patients without orthodema at discharge, 27% relapsed to low-grade orthodema and 38% to high-grade orthodema at 60-day follow-up. Conclusions— Increased severity of congestion by a simple orthodema assessment is associated with increased morbidity and mortality. Despite intent to relieve congestion, current therapy often fails to relieve orthodema during hospitalization or to prevent recurrence after discharge. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifiers: NCT00608491, NCT00577135.

Background— After left ventricular assist device (LVAD) placement for advanced heart failure, increased cerebral perfusion should result in improved cognitive function. However, stroke (a well-known LVAD complication) and subclinical cerebral ischemia may result in 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 and Results— Among 4419 patients in the Interagency Registry for Mechanically Assisted Circulatory Support who underwent LVAD implantation between May 2012 and December 2013, cognitive function was assessed in 1173 patients with the Trail Making B Test before LVAD and at 3, 6, and 12 months. The test detects several forms of cognitive impairment, including subclinical stroke. Cognitive decline was defined as a clinically important increase during follow-up using a moderate Cohen d effect size of 0.5×baseline SD (32 s). The cumulative incidence of cognitive decline in the year after LVAD implantation, treating death and transplantation as competing risks, was 29.2%. In adjusted analysis, older age (≥70 versus <50 years; hazard ratio, 2.24; 95% confidence interval 1.46–3.44; P trend <0.001) and destination therapy (hazard ratio, 1.42; 95% confidence interval, 1.05–1.92) were significantly associated with greater risk of cognitive decline. Conclusions— Cognitive decline occurs commonly in patients in the year after LVAD and is associated with older age and destination therapy. These results could have important implications for patient selection and improved communication of risks before LVAD implantation. Additional studies are needed to explore the association between cognitive decline and subsequent stroke, health status, and mortality in patients after LVAD.

Background— Healthcare utilization peaks at the end of life (EOL) in patients with heart failure. However, it is unclear what factors affect end of life utilization in patients with heart failure and if utilization has changed over time. Methods and Results— Southeastern Minnesota residents with heart failure were prospectively enrolled into a longitudinal cohort study from 2003 to 2011. Patients who died before December 31, 2012, were included in the analysis. Information on hospitalizations and outpatient visits in the last year of life was obtained using administrative sources. Negative binomial regression was used to assess the association between patient characteristics and utilization. The 698 decedents (47.3% men; 53.4% preserved ejection fraction) experienced 1528 hospitalizations (median 2 per person; range, 0–12; 37.6% because of cardiovascular causes) and 12 927 outpatient visits (median 14 per person; range, 0–119) in their last year of life. Most patients (81.5%) were hospitalized at least once and 28.4% died in the hospital. Patients who were older and those with dementia had lower utilization. Patients who were married, resided in a skilled nursing facility, and had more comorbidities had higher utilization. Patients with preserved ejection fraction had higher rates of noncardiovascular hospitalizations although other utilization was similar. Over time, rates of hospitalizations and outpatient visits decreased, whereas palliative care consults and enrollment in hospice increased. Conclusions— Although patient factors remain associated with differential healthcare utilization at the end of life, utilization declined over time and use of palliative care services increased. These results are encouraging given the high resource use in patients with heart failure.