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No relevant financial relationships to disclose
Heart Transplant: Still the Most Cost Effective and Durable Treatment for Advanced Heart Failure Arsalan Shirwany, MD Stern Cardiovascular Foundation Baptist Transplant & Mechanical Circulatory Support Center Clinical Assistant Professor of Medicine University of Tennessee Health Science Center, Memphis No relevant financial relationships to disclose
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Congestive Heart Failure
CHF Not one disease entity, rather a syndrome Many disease processes, sometimes present concurrently Inability of heart to meet metabolic demands at normal filling pressure Increasing prevalence High morbidity and mortality High cost Prognosis worse than most malignancies
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CHF: Incidence and Prevalence
NHLBI Study 5.7 million 2012 prevalence 870,000 new cases annually Framingham Data 1 in 5 above 40 will develop HF NCHS and NHLBI One in 9 deaths has HF listed on death certificate ~285,000 deaths annually from 1995 to 2011 ~50% of patients diagnosed with HF will die within 5 years
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Projected US prevalence of HF from 2012 to 2030 is shown for different races.
Projected US prevalence of HF from 2012 to 2030 is shown for different races. The prevalence of HF remains lowest among white Hispanics and highest among blacks. HF indicates heart failure. Heidenreich P A et al. Circ Heart Fail. 2013;6: Copyright © American Heart Association, Inc. All rights reserved.
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CHF: Healthcare Use 2000 through 2010: ~1,000,000 hospital discharges
2010: 1,800,100 physician office visits 2010: 676,000 ER visits 2012 HF cost: $30.7 billion Projected to increase to $69.7 billion by 2030
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The projected increase in direct and indirect costs attributable to HF from 2012 to 2030 is displayed. The projected increase in direct and indirect costs attributable to HF from 2012 to 2030 is displayed. Direct costs (cost of medical care) are expected to increase at a faster rate than indirect costs because of lost productivity and early mortality. HF indicates heart failure. Heidenreich P A et al. Circ Heart Fail. 2013;6: Copyright © American Heart Association, Inc. All rights reserved.
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CHF: NYHA Classification
Functional Capacity: How patients feel during physical activity I Patients with cardiac disease but resulting in no limitation of physical activity. Ordinary physical activity does not cause undue fatigue, palpitation, dyspnea or anginal pain. II Patients with cardiac disease resulting in slight limitation of physical activity. They are comfortable at rest. Ordinary physical activity results in fatigue, palpitation, dyspnea or anginal pain. III Patients with cardiac disease resulting in marked limitation of physical activity. They are comfortable at rest. Less than ordinary activity causes fatigue, palpitation, dyspnea or anginal pain. IV Patients with cardiac disease resulting in inability to carry on any physical activity without discomfort. Symptoms of heart failure or the anginal syndrome may be present even at rest. If any physical activity is undertaken, discomfort increases.
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CHF: ACC/AHA Stages Stage A:
At high risk for HF but without HF symptoms or structual HD Stage B: Structural heart disease but no signs or symptoms of HF Stage C: Structural heart disease with prior or current symptoms of HF Stage D: Refractory HF requiring specialized intervention
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CHF: Shared Decision Making
Routine “Annual Heart Failure Review” with a scheduled clinic visit Event-driven “milestones” that should prompt reassessment Increased symptom burden and/or decreased quality of life Significant decrease in functional capacity Loss of ADLs Falls Transition in living situation (independent to assisted or LTC) Worsening HF: hospitalization, particularly if recurrent Serial increases of maintenance diuretic dose Symptomatic hypotension, azotemia, or refractory fluid retention Circulatory-renal limitations to ACEI/ARB Decrease or discontinuation of β-blockers because of hypotension First or recurrent ICD shock for VT/VF Initiation of intravenous inotropic support Consideration of renal replacement therapy Circulation: 2012;
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Circulation: 2012;
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Transplantation Offers symptom relief and improves survival
Long term survival Improved with donor selection harvest techniques Immunosuppression Management of risk factors and comorbidities
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Transplant: Centers JHLT Oct; 33(10):
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Transplant: Centers
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Adult and Pediatric Heart Transplants Average Center Volume (Transplants: January 2006 – June 2013)
JHLT. 2014 Oct; 33(10):
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Trends in heart transplantations, 1975 to 2013.
Trends in heart transplantations, 1975 to Source: Organ Procurement and Transplantation Network data as of August 1, 2014. Mozaffarian D et al. Circulation. 2015;131:e29-e322 Copyright © American Heart Association, Inc. All rights reserved.
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Adult Heart Transplants Diagnosis
2014 For some retransplants diagnosis other than retransplant was reported, so the total percentage of retransplants may be greater. JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants Diagnosis by Location and Era
Europe North America Other 2014 For some retransplants diagnosis other than retransplant is reported, so the total percentage of retransplants may be greater. JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants % of Patients Bridged with Mechanical Circulatory Support* (Transplants: January 2000 – December 2012) * LVAD, RVAD, TAH, ECMO 2014 JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants % of Patients Bridged with Mechanical Circulatory Support* by Year and Device Type 2014 * LVAD, RVAD, TAH, ECMO JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants Recipient BMI Distribution by Location (Transplants: January 2006 – June 2013) 2014 JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants Recipient Diabetes Mellitus Distribution by Location (Transplants: January 2006 – June 2013) 2014 JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants Recipient Cigarette History by Location (Transplants: January 2006 – June 2013) 2014 JHLT. 2014 Oct; 33(10):
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Transplant: Work-Up Cardiac: LV/RV Function Functional Capacity
Hemodynamics
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Transplant Work-Up Medical Psycho-social Physical/Dietary/Pharmacy
Pulmonary status Renal function Hematology Oncology Infectious Disease GI Hepatology Endocrine Psycho-social Physical/Dietary/Pharmacy
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UNOS Status Criteria Status 1 A Status 1 B Status 2 – out of hospital
PA catheter with High Dose Inotropic support LVAD 30 days post implant- use at discretion, Device Malfunction IABP, BiVAD present, ECMO Status 1 B Home on inotropic support LVAD (other than 30 days) Angina- uncontrolled Status 2 – out of hospital Status 7 - Inactive
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Cardiac Transplantation
Pre Standard medical care Repeat RHC Functional assessment
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Cardiac Transplantation
Post- Hospital Standard ICU post op care Medical therapy Immunosuppression Comorbid conditions Recovery and Rehab Surveillance biopsy
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Cardiac Transplantation
Long term Immunosuppression Corticosteroids CNI Anti-Proliferative mTOR inhibitors Comorbid conditions HTN DM Hyperlipidemia Infection Prophylaxis
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Total N with known response
Adult Heart Transplants Cumulative Morbidity Rates in Survivors within 1, 5 and 10 Years Post Transplant (Follow-ups: January 1995 – June 2013) Outcome Within 1 Year Total N with known response 5 Years 10 Years Hypertension* 71.8% (N = 28,163) 91.7% (N = 13,023) - Renal Dysfunction 25.8% (N = 31,118) 51.7% (N = 15,769) 68.1% (N = 5,428) Abnormal Creatinine ≤ 2.5 mg/dl 17.7% 33.1% 38.5% Creatinine > 2.5 mg/dl 6.3% 14.6% 20.0% Chronic Dialysis 1.5% 2.9% 6.0% Renal Transplant 0.3% 1.1% 3.6% Hyperlipidemia* 59.8% (N = 29,413) 87.6% (N = 14,372) Diabetes* 24.8% (N = 31,120) 37.5% (N = 15,458) Cardiac Allograft Vasculopathy 7.8% (N = 28,259) 30.1% (N = 11,511) 49.7% (N = 3,146) This table shows the percentage of patients experiencing various morbidities as reported within 1, 5 and 10 years following transplantation. The percentages are based on patients with known responses. To reduce bias, only patients with responses reported on every follow-up through the 5-year annual (or 10-year annual) follow-up were included in the 5-year (or 10-year) analysis. Because the outcomes are reported to be unknown at different rates the number with known responses for each outcome are also provided. * Data are not available 10 years post transplant JHLT. 2014 Oct; 33(10):
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Cardiac Transplantation
Long term complications Rejection Cardiac allograft vasculopathy (CAV) Infections Chronic Renal insufficiency Malignancy
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Adult Heart Transplants % of Recipients Experiencing Treated Rejection Between Transplant Discharge and 1-Year Follow-Up by Year Treated rejection = Recipient was reported to (1) have at least one acute rejection episode that was treated with an anti-rejection agent; or (2) have been hospitalized for rejection.
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Adult Heart Transplants Kaplan-Meier Survival by Treatment for Rejection Within 1st Year (1 Year Follow-ups: January 2005 – June 2011) Conditional on survival to 1 year All pair-wise comparisons were significant at p < except No rejection vs. Untreated rejection (p = ) Because of a modification in the data collection, the analysis is limited to follow-ups occurring on or after July 2004. Survival was calculated using the Kaplan-Meier method, which incorporates information from all transplants for whom any follow-up has been provided. Since many patients are still alive and some patients have been lost to follow-up, the survival rates are estimates rather than exact rates because the time of death is not known for all patients. Survival rates were compared using the log-rank test statistic. Adjustments for multiple comparisons were done using Scheffe’s method. Treated rejection = Recipient was reported to (1) have at least one acute rejection episode that was treated with an anti-rejection agent; or (2) have been hospitalized for rejection. No rejection = Recipient had (i) no acute rejection episodes and (ii) was reported either as not hospitalized for rejection or did not receive anti-rejection agents.
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Heart Transplant: Survival (Transplants: January 1982 – June 2012)
All pair-wise comparisons were significant at p < except vs /2012 (p = ). Survival was calculated using the Kaplan-Meier method, which incorporates information from all transplants for whom any follow-up has been provided. Since many patients are still alive and some patients have been lost to follow-up, the survival rates are estimates rather than exact rates because the time of death is not known for all patients. The median survival is the estimated time point at which 50% of all of the recipients have died. Survival rates were compared using the log-rank test statistic. Adjustments for multiple comparisons were done using Scheffe’s method. 2014 JHLT. 2014 Oct; 33(10):
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Heart Transplant: Survival (Transplants: January 1982 – June 2012)
All pair-wise comparisons were significant at p < except vs /2012 (p=0.3066) and vs /2012 (p=0.0804). Survival was calculated using the Kaplan-Meier method, which incorporates information from all transplants for whom any follow-up has been provided. Since many patients are still alive and some patients have been lost to follow-up, the survival rates are estimates rather than exact rates because the time of death is not known for all patients. Conditional survival is shown in this figure; this is the survival following 1 year for all patients who survived to 1 year. The conditional median survival is the estimated time point at which 50% of the recipients who survive to at least 1 year have died. Survival rates were compared using the log-rank test statistic. Adjustments for multiple comparisons were done using Scheffe’s method. JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants Cause of Death (Deaths: January 1994 – June 2013)
0-30 Days (N = 5,609) 31 Days – 1 Year (N = 4,800) >1 Year – 3 Years (N = 3,511) >3 Years – 5 Years (N = 3,085) >5 Years – 10 Years (N = 7,717) >10 Years – 15 Years (N = 5,186) >15 Years (N = 2,959) Cardiac Allograft Vasculopathy 81 (1.4%) 176 (3.7%) 423 (12.0%) 427 (13.8%) 1,055 (13.7%) 706 (13.6%) 345 (11.7%) Acute Rejection 256 (4.6%) 457 (9.5%) 357 (10.2%) 149 (4.8%) 149 (1.9%) 47 (0.9%) 18 (0.6%) Lymphoma 3 (0.1%) 57 (1.2%) 84 (2.4%) 104 (3.4%) 286 (3.7%) 154 (3.0%) 75 (2.5%) Malignancy, Other 2 (0.0%) 117 (2.4%) 424 (12.1%) 592 (19.2%) 1,633 (21.2%) 1,090 (21.0%) 568 (19.2%) CMV 51 (1.1%) 17 (0.5%) 6 (0.2%) 7 (0.1%) Infection, Non-CMV 713 (12.7%) 1,470 (30.6%) 432 (12.3%) 311 (10.1%) 813 (10.5%) 538 (10.4%) 333 (11.3%) Graft Failure 2,186 (39.0%) 827 (17.2%) 914 (26.0%) 695 (22.5%) 1,406 (18.2%) 885 (17.1%) 487 (16.5%) Technical 411 (7.3%) 74 (1.5%) 24 (0.7%) 26 (0.8%) 89 (1.2%) 67 (1.3%) 40 (1.4%) Other 330 (5.9%) 340 (7.1%) 288 (8.2%) 245 (7.9%) 627 (8.1%) 355 (6.8%) 247 (8.3%) Multiple Organ Failure 1,010 (18.0%) 746 (15.5%) 213 (6.1%) 191 (6.2%) 531 (6.9%) 429 (8.3%) 272 (9.2%) Renal Failure 30 (0.5%) 48 (1.0%) 53 (1.5%) 94 (3.0%) 438 (5.7%) 433 (8.3%) 291 (9.8%) Pulmonary 167 (3.0%) 186 (3.9%) 142 (4.0%) 143 (4.6%) 335 (4.3%) 221 (4.3%) 137 (4.6%) Cerebrovascular 417 (7.4%) 251 (5.2%) 140 (4.0%) 102 (3.3%) 348 (4.5%) 258 (5.0%) 146 (4.9%) Total Deaths (N) 6,363 5,481 4,222 3,781 9,534 6,679 3,874 Only known causes of death are included in the tabulation. Percentages represent % of deaths in the respective time period. Total number of deaths includes deaths with unknown causes. JHLT. 2014 Oct; 33(10):
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Adult Heart Transplants Relative Incidence of Leading Causes of Death (Deaths: January 1994 – June 2012)
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Transplant: Cost-effective?
Expensive Work-up Surgery Follow-up Medications Surveillance testing Labs Diagnostic imaging Cath, biopsy Complications Difficult to estimate
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Decision-analytic model diagram for treatment of end-stage heart failure.
Decision-analytic model diagram for treatment of end-stage heart failure. The initial square node represents a decision point where a treatment regimen is chosen. The open circle nodes represent chance events, and the M circle nodes represent the health states. Patients can transition among health states according to specified transition probabilities. Patients may die from any health state based on the associated mortality rate or from age-related mortality. The model assigns costs and quality-of-life values to each health state. The simulation then calculates the average lifetime costs and quality-adjusted life-years of each treatment regimen, based on a cohort of 20 000 patients. LVAD indicates left ventricular assist device. Long E F et al. Circ Heart Fail. 2014;7:
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Model-projected survival during 5 years.
Model-projected survival during 5 years. Each line corresponds to the fraction of a cohort surviving over time. Immediate heart transplantation (dashed) and transplantation following a median wait time of 5.6 months (solid) are both shown. Bridge to transplant-left ventricular assist device (LVAD) assumes a median wait of 5.6 months following LVAD implantation. Inotrope-dependent medical therapy (IDMT) or destination therapy-LVAD among patients who are transplant eligible (solid) or ineligible (dashed) are also shown. OHT indicates orthotopic heart transplant. Long E F et al. Circ Heart Fail. 2014;7: Copyright © American Heart Association, Inc. All rights reserved.
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Cost-effectiveness of end-stage heart failure therapy options.
Cost-effectiveness of end-stage heart failure therapy options. Discounted lifetime costs and quality-adjusted life-years (QALYs) are shown for each treatment regimen. The cost-effectiveness frontier (black line) represents those strategies that are most economically efficient. Among orthotopic heart transplant (OHT)–ineligible patients (open squares), destination therapy-left ventricular assist device (LVAD) is compared with inotrope-dependent medical therapy (IDMT). All other points (closed squares) correspond to OHT-eligible patients. The cost-effectiveness of OHT is relative to IDMT, and bridge to transplant (BTT)-LVAD is relative to OHT. Long E F et al. Circ Heart Fail. 2014;7: Copyright © American Heart Association, Inc. All rights reserved.
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Transplant: Summary Advance Heart Failure Cardiac Transplant
Affects ~10% of patients with CHF Associated with high mortality- more than 50% at one year, close to 80% at two years Cardiac Transplant Offers symptom relief Much longer survival: life expectancy of 8.5 yrs vs 1.1 yr Average cost ~$97000 per Quality adjusted life year
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