Real World Effectiveness of Implantable Cardioverter Defibrillators in Medicare Patients Slide Presentation from the AHRQ 2011 Annual Conference On September 21, 2011, Soko Setoguchi made this presentation at the 2011 Annual Conference. Select to access the PowerPoint® presentation (2.3 MB). Plugin Software Help.Slide 1Real World Effectiveness of Implantable Cardioverter Defibrillators in Medicare PatientsSoko Setoguchi, MD, DrPHDuke Clinical Research Institute, Durham, NCProject Contract SiteBrigham and Women Hospital, Boston, MASlide 2DisclosureConflicts of interest: None.Sources of funding: Contract No.HHSA290-2005-0016-I�TO8 from the AHRQ as part of the Developing Evidence to Inform Decisions about Effectiveness (DEcIDE) program and Contract 500-2010-00001I TO6 and Contract 500-2010-00001I TO2 from the CMS.Dr. Setoguchi is supported by a mid-career development award grant K02-HS017731 from AHRQ.The presenter is responsible for the content. Statements in the presentation should not be construed as endorsement by the AHRQ, CMS or the US Department of Health and Human Services.Slide 3Ongoing DEcIDE Task OrderTitle: Analysis of Data Associated with CMS Coverage with Evidence Development Initiatives: Real World Effectiveness of Carotid Artery Stenting and Implantable Cardioverter Defibrillators in Medicare Patients.Fund: interagency contract between AHRQ and CMS.Contract site: Brigham and Women's Hospital DEcIDE Center.Slide 4OutlineIntroduction and current status of our CMS ICD project.Presentation of results from a recently completed ICD study.Slide 5Implantable Cardioverter Defibrillators (ICDs)Slide 6ICDs in Real WorldReal world patients receiving ICDs: Median age: 74 yrs.Non-cardiac comorbidities are common: 36% Diabetes.22% Chronic lung disease.Insurance Type: 77% CMS American College of Cardiology National Cardiovascular Data Registry (ACC NCDR) Report.Benefit of ICD is not established in: Elderly patients.Those with comorbidities.Real world practice setting.Slide 7ICD Study: AimsAim 1: To demonstrate differences in the incidence rate of death and cardiovascular hospitalizations between trial populations and Medicare patients undergoing ICD implantation.Aim 2: To explore the incidence of death and cardiovascular hospitalizations in subgroups of patients undergoing ICD implantation by gender, age category, and comorbidities.Aim 3: To identify subgroups of patients undergoing ICD implantation for whom 1) ICDs are not effective (expected survival < 18 months) and 2) ICDs are not cost-effective (expected survival < 5 years).Aim 4: To estimate the incidence of various potential short and long-term adverse events following ICD implantation.Aim 5: a) To directly compare ICD vs. medical management and b) to assess the impact of unmeasured confounding in a well-designed comparative effectiveness study.Slide 8Key Features of the DEcIDE CMS ICD StudySlide 9Bringing In Multiple PlayersSlide 10Core Investigator TeamBWH DEcIDE Center Core Team:Soko Setoguchi Iwata, MD DrPH (PI, BWH/Duke).John Seeger, PharmD, DrPH (Site PI).Natasha (Chih-Ying ) Chen, PhD (Research Fellow).Lauren Williams, BA (Research Assistant).Helen Mogun, MS and Jun Liu, MD MPH (Programmers).Clinical Experts:Lynne Warner Stevenson, MD (Co-Investigator).Garrick Stewart, MD, MPH (Co-Investigator).Method Experts:Sebastian Schneeweiss, MD ScD (BWH DEcIDE PI).Robert Glynn, PhD ScD (Co-investigator).Slide 11Contracting/Supporting Groups/IndividualsOutcome Sciences Inc.: Providing the national clinical registries for HF and myocardial infarction (MI).Nancy Dreyer, PhD.ACC NCDR: Supplementing CMS ICD Registry with data from ACC NCDR ICD Registry.Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital: Bridging BWH DEcIDE Center and ACC NCDR.Collaborating on the ICD complication aim.Brown University: Melissa Clark, PhD, Brown University for the supplemental survey study.Univ. of British Columbia: Winson Cheung, MD MSc for the supplemental survey study.Slide 12TEP membersJeptha Curtis, MD (Yale School of Medicine & Yale-New Haven Hospital, New Haven, CT).Sherri Dodd, MS (Medtronic Inc, Minneapolis, MN).Kenneth Ellenbogen, MD (Virginia Commonwealth University Pauley Heart Center, Richmond, VA).Marcel E. Salive, MD, MPH (National Institute on Aging at National Institutes of Health, Bethesda, MD).Lynett Voshage Stahl (Boston Scientific Corporation, Arden Hills, MN).Slide 13Putting Multiple Data Sources TogetherSlide 14Brigham DEcIDE CenterImage of a large flowchart.1) Dataset of entire study cohort (65+) and linkage information* (HF/MI registry)2) A portion of the NCDR ICD registry including identifiers, reason for admission, prior heart failure hospitalization, QRS duration, Creatinine, B-type natriuretic peptide, and systolic blood pressure (ACC-NCDR registry).3) CMS ICD registry with identifiers.4) ACC-NCDR variables added to CMS ICD registry.5) CMS sends Medicare files (100% Denominator & MedPAR) to BWH DEcIDE Center.6) BWH DEcIDE Center receives Medicare Files (Stage 1).7) Partial linkage information: SSN.8) CMS receives partial linkage information (Stage 2)9) Extract Medicare Part A, B, and D files using partial linkage information10) BWH DEcIDE Center receives Medicare Files (Stage 2)11) Creation of Research Database using Medicare files and linkage information* HF/MI Registry: Clinical Registry from Outcome DEcIDE Center for heart failure and myocardial infarction.Slide 15Multiple Studies are Underway to Inform.....Long-term outcomes (benefit and complications) after ICD implantation.Who benefit or don't benefit from ICDs.Methodological challenges and potential solutions in assessing effectiveness of ICDs using large databases.Clinical effectiveness of ICDs and magnitude of potential bias in observational studies........in Medicare patients.Slide 16Survival after ICD Implantation in Medicare Patients with Heavy Burden of Heart FailureNatasha Chen, Lynne Warner Stevenson, John D Seeger, Lauren Williams, Jessica J Jalbert, Andrew Rothman, Garrick C Stewart, Soko SetoguchiSlide 17Background and PurposesLittle is known about long-term survival after primary ICD implantation in Medicare patients: Especially in those with heavy burden of HF and other comorbidities.To describe survival following primary ICD implantation and assess the impact of the burden of HF on survival.Slide 18Data SourcesCenters for Medicare & Medicaid Services ICD registry.Medicare Provider Analysis and Review (MedPAR): Years 2005–2008.Linked by a previously described method using multiple non-unique identifiers: Date of birth, date of admission, gender, hospital ID.Slide 19Study DesignImage of a flowchart.Step 1. Recipients in CMS-ICD registry+MedPAR files (Year 2005-2008)Step 2. Recipients met indications for primary ICD-EF = 35%-No cardiac arrest/sustained VTRecipients of prophylactic ICD≥ 1yr eligibility- Age ≥ 66 yrsIndex time: 1st ICD implantationOutcomes: All-cause mortalityCensoring: ICD removalLoss of eligibility12/31/2008Slide 20HF Burden and AnalysisChronic burden of HF: Number of HF hospitalizations in the previous year.Acute burden of HF: Days from admission to implant during HF/ICD hospitalization.Kaplan-Meier survival estimates for crude mortality.Cox proportional hazard regression models for adjusted hazard ratios (HRs).Slide 21Characteristics for Medicare ICD Patients (N=66,974)Characteristic%Median Age (IQR)MaleWhite75 yrs (71-80)73%88%Median EF (IQR)25% (20-30)HF Duration New HF 0-3 months 3-9 months >9 months12%14%13%61%NYHA class I II III IV6%31%58%5%Ischemic HF79%Slide 22Outcomes in Overall Medicare Primary ICD Patients (N=66,974)OutcomeNDeath (N) 11,876In-hospital death (N)327In-hospital death risk (95% CI)0.49% (0.45-0.55)Average follow-up (range1.4 years (0-4)Mortality risk (95% CI) 1-year 2-year 3-year 12% (12-13)22% (22-23)31% (30-32)Slide 23Mortality after ICD Implant (N=66,974)Image: A graph showing the 3 year mortality is shown.Medicare ICD Patients 31%SCD HeFT 16%MADIT II 22%Slide 24Characteristics by Number of HospitalizationsCharacteristicNumber of Hospitalizations# of Prior HF Hosp0N=52,9631N=10,2472N=2,501≥3N=1,263N (% total population)79%15%4%1%Age (IQR)MaleWhite75 (71-80)75%89%76 (71-80)67%85%76 (71-81)63%79%76 (71-80)60%74%EF(%) (IQR) ≤20%25 (20-30)31%25 (20-30)43%25 (20-30)43%23 (20-30)48%HF Duration >9 months59%66%69%74%NYHA class I II III IV7%33%56%4%2%23%67%7%2%19%69%10%1%15%70%16%Slide 25Mortality by # of HF Hospitalizations in the Past YearImage: Graph of mortality by # of HF hospitalizations in the past year is shown.Slide 26Risk of Mortality in Patients with ≥1 HF Hospitalizations During 1 Year Prior to Implant vs. Those with No Prior Hospitalizations in the Past YearRisk of Mortality% (N)# of prior HF hosp in the past year0 hospN=52,9631 hospN=10,2472 hospN=2,501≥3 hospN=1,263Mortality 1-yr mortality 2-yr mortality 3-yr mortality10% (10-11)19% (19-20)27% (27-28)17% (16-18)30% (29-31)40% (38-43)24% (23-26)37% (35-40)52% (46-57)33% (30-36)51% (48-55)63% (57-68)Hazard ratio(HR) Unadjusted Age, sex, race adjusted--1.7 (1.6-1.7)1.6 (1.6-1.7)2.2 (2.1-2.4)2.2 (2.0-2.3)3.4 (3.2-3.8)3.3 (3.0-3.6)Slide 27Characteristics by Number of Days from Admission to ImplantationCharacteristicsNumber (%)# of days from adm to implant0 daysN=39,5761 dayN=5,6362-7 daysN=16,9598-14 daysN=4,803% total population59%8%25%7%Age, median (IQR) Age ≥ 80y 75 (70-80)25% 76(71-80)28% 76 (71-81)30% 76 (71-81)30% Male74%76%71%71%White91%89%84%81%EF ≤ 20%30%36%40%45%HF Duration New HF 0-3 months >3 months13%10%77%13%14%73%11%20%69%8%26%66%NYHA class I II III IV6%34%57%3%6%30%59%5%5%26%60%9% 3%22%62%13%Slide 28Mortality by # Days from Admission to ProcedureImage: Graph of mortality by number of days from admission to procedure is shown.Slide 29Risk of Mortality in Patients with ≥1 Days Prior to Implant vs. Those with Implant on Admission DayRisk of Mortality% (N)# days from admission to procedure0 daysN=39,5761 dayN=5,6362-7 daysN=16,9598-14 daysN=4,803Mortality 1-yr mortality 2-yr mortality 3-yr mortality8% (8-8)16% (16-17)25% (24-25)12% (11-13)22% (21-23)32% (29-35)18% (18-19)30% (29-31)41% (39-42)29% (28-31)43% (41-44)53% (50-57)Hazard ratio (HR) Unadjusted Age, sex, race adjusted--1.4 (1.3-1.5)1.4 (1.3-1.5)2.1 (2.0-2.2)2.0 (1.9-2.1)3.4 (3.2-3.6)3.2 (3.1-3.4)Slide 30ConclusionIn 3 years, nearly one third of patients receiving a primary ICD implantation were died in this Medicare population.3-year Mortality increased to 1/2 among patients with at least 2 HF hospitalizations or 7 days between admission and implantation.Slide 31ImplicationsIndications and potential benefits should be carefully weighed when considering primary ICD implantation for Medicare patients with greater HF burden.Slide 32AcknowledgementAgency for Healthcare Research and QualityElise Berliner, PhDCenters for Medicare and MedicaidRosemarie Hakim, PhDSlide 33Blank slideSlide 34Image of a flowchart.216,884 ICD implantations in those aged >= 65 yrs between 2005 and 2008 Excluded26,106 (12%) records with incomplete information on linkage variables: admission dates, provider ID, date of birth, and gender.190,778 records with complete linkage variables122,562 ICD records linked to MedPAR records Excluded4,032 with missing EF4,498 with EF > 35%24,227 with repeated ICD27,810 for secondary prevention14,739 with prior cardiac arrest17,158 with history of sustained VT5,725 with < 1 yr continuous eligibility5,248 with age < 66 years old2,045 with no device type information.66,974 patients eligibleSlide 35Implantable Cardioverter Defibrillator (ICD)Ventricular arrhythmia is common among heart failure (HF) patients: 50-80% non-sustained ventricular tachycardia (VT).5% sustained VT or ventricular fibrillation (VF) (fatal).Presence of HF increases the sudden death rate 5.5-fold in both men and women (Framingham heart study).Slide 36Implantable Cardioverter Defibrillator (ICD)ICDs have shown to be beneficial as a primary prevention of sudden cardiac death (SCD) among HF patients with systolic dysfunction in trials (primary prevention of SCD).National Coverage Decision (NCD) in Jan 2005: CMS expanded the coverage for ICD implantation for primary prevention.Slide 37Important CovariatesIdentify from registry:Age at index date(66-70, 71-75, 76-80, 81-85, 85+ yrs).Gender.HF duration (0/0-3/3-9 mo).Ejection fraction (<30, 30-35%).NYHA class (I, II, III, IV).QRS interval (<120, =120 msec).Device type (Single/dual chamber).Estimated GFR(<15, 15-29, 30-59, 60-89, >90 mL/min/1.73m2).BNP(<130, 131-230, 231-480, >480 pg/mL).SBP (<80, 80-100, 101-130, 131-150, >150mmHg).Sodium (<135, 135-145, >145 mEq/L).Elective/non-elective procedure.Identify from CMS files:Race (Whites/Blacks/Hispanics/others).Diabetes (Y/N) Chronic kidney disease (Y/N).Atrial fibrillation (Y/N) Beta-blocker use* (Y/N).ACEI/ARB use* (Y/N).Aldosterone receptor antagonists use* (Y/N).Identify from registry and CMS files:Prior HF hospitalizations (0, 1, 2, 3, 4, ≥5).HF cause (Ischemic/non-ischemic).Slide 38Outcome DefinitionsOutcomesDefinitionsDeathDeath identified from CMS Vital status fileAll-cause Hospitalization1st hospitalization (identified from Part A file) after the discharge date of ICD implantation, not counting visit for ICD evaluationHF1st hospitalization with ICD-9-CM code (Dx) 428.xx as the primary discharge diagnosisMI1st hospitalization with Dx 410.xx as the primary discharge diagnosis and with length of stay > 3 days (unless patients died) and < 180 days.Cardiac events1st hospitalization with the following codes as the primary discharge diagnosis: 428.xx, 410.xx413.x (Angina pectoris) 420.0, 420.9x (Acute pericarditis)421.x (Acute and sub-acute endocarditis)423.x (Other disease of pericardium)424.2 (Tricuspid valve disorders specified as nonrhumatic426.x (Conduction disorder) 427.xx(Cardiac dysrythmia)Slide 39Characteristics by Number of Hospitalization. 0123QRS ≥ 120 msec32,949 (62)6,817 (67)1,651 (66)852 (67)Ischemic cause HF42,168 (80)7,995 (78)2,020 (81)1,049 (83)Unsustained VT12,382 (23)2,273 (22)590 (24)309 (24)Mean prior Hospitalization for any cause ≥ 50.6 (1)506 (1)2 (1.3)498 (5)3.2 (1.4)402 (16)5.5 (2.6)983 (41)Mean LOS of implantationAdmission to implantation3.9 (5.2)1.9 (3.6)4.2 (5.5)2 (3.5)5 (6)2.5 (4.4)5.9 (6.2)3.0 (4.2)Mean Charlson Score not counting cardiac conditions0.6 (1.2)1.8 (1.6)2.5 (1.7)3.1 (1.8)Slide 40 0 days1 day2-7 days8-14 daysQRS ≥120 msec25,363 (64)3,752 (67)10,365 (61)2,789 (58)Ischemic cause HF31,111 (79)4,452 (79)13,662 (81)4,007 (83)Unsustained VT6,384 (16)1,436 (26)5,578 (33)2,156 (45)Mean prior Hospitalization for any cause ≥ 50.9 (1.3)919 (2)1.1 (1.5)202 (4)1.1 (1.6)738 (4)1.4 (1.8)267 (6)Mean LOS of implantationImplantation to discharge1.4 (1.7)1.4 (1.7)3.1 (2.7)2.1 (2.7)6.9 (3.7)2.8 (3.2)16.4 (5.7)4.4 (5)Mean Charlson Score not counting cardiac conditions0.8 (1.3)1 (1.4)1.1 (1.6)1.3 (1.7)Current as of December 2011Internet Citation:Real World Effectiveness of Implantable Cardioverter Defibrillators in Medicare Patients. Slide Presentation from the AHRQ 2011 Annual Conference (Text Version). December 2011. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/about/annualconf11/greenlee_masoudi_sanders_setoguchi/setoguchi.htm Current as of March 2012 Internet Citation: Real World Effectiveness of Implantable Cardioverter Defibrillators in Medicare Patients. March 2012. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/news/events/conference/2011/setoguchi/index.html