dapt vs triple therapy, jacc

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Question: 77 YOM with PMH of HTN, HLD, CAD, Paroxysmal AF and DM2 was admitted and treated for STEMI with PCI X 3 stents in LAD, LCirc. currently in AF is now ready for discharge. What Anticoagulation/Antiplatelet therapy would you discharge patient with?

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Page 1: Dapt vs triple therapy, jacc

Question:

77 YOM with PMH of HTN, HLD, CAD, Paroxysmal AF and DM2 was admitted and treated for STEMI with PCI X 3 stents in LAD, LCirc. currently in AF is now ready for discharge.

What Anticoagulation/Antiplatelet therapy would you discharge patient with?

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Use and Outcomes of Triple Therapy Among Older Patients With Acute Myocardial Infarction and Atrial FibrillationJACC VOL. 66 NO. 6 2015 AUGUST 11 2015:616 – 2 7

Khushboo M. Gandhi, MD

PGY1 Internal Medicine St. Luke’s Hospital

09-02-2015

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BACKGROUND

77 YOM with PMH of HTN, HLD, CAD, Paroxysmal AF and DM2 was admitted and treated for STEMI with PCI X 3 stents in LAD, LCirc. currently in AF is now ready for discharge.

Current guidelines for Anticoagulation-Antiplatelet Therapy ?

Current Guidelines

AF Anticoagulation for thromboembolic px - at average or higher risk for stroke but not at prohibitive risk for bleeding

Acute MI with PCI

Dual antiplatelet therapy (DAPT) - major adverse cardiac events (MACE) and stent thrombosis

Study Goal:

To determine appropriate antithrombotic therapy - Older patients + MI + AF + PCI

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BACKGROUND

Previous Studies:❏ Treated with triple therapy relative to DAPT - lower risk of MACE but higher bleeding risk❏ Paucity of randomized data - shown variability in anticoagulant agent use acc. to stroke and bleeding risk❏ Most importantly - Older population underrepresented and understudied❏ Older patients at greater risk for

● AF-related stroke and MACE● Bleeding events

This Study:❏ Linked data from ACTION Registry–GWTG + Medicare Administrative claims❏ Opportunity to examine a large group of older MI patients with AF undergoing PCI❏ Main objectives:

● Describe the patterns of use of discharge triple therapy versus DAPT in older MI patients with AF treated by using PCI

● Characterize warfarin use patterns post-discharge● Compare the safety and effectiveness of triple therapy versus DAPT

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ACTION Registry–GWTG

❏ National registry created in 2007 by the merger of the

National Cardiovascular Data Registry (NCDR) + ACTION Registry from the American College of Cardiology (ACC) + GWTG-Coronary Artery Disease (CAD) Program from the American Heart Association (AHA)

❏ Includes detailed clinical information on >5,00,000 patients with STEMI or NSTEMI in >800 participating US hospitals

❏ Objectives: to record information on:

Treatment patterns, Clinical outcomes, Drug safety and Overall quality of care (measured by adherence to ACC/AHA clinical guidelines) provided to patients with STEMI and NSTEMI.

❏ The registry has determined:

❏ The extent to which numerous factors such as age and gender can influence patient outcomes

❏ Ethnic differences in treatment patterns in patients presenting with STEMI

❏ The bleeding risk of patients presenting with MI who were treated with anticoagulant therapy

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DATA SOURCES

Clinical and procedural data - ACTION Registry–GWTG (collected without unique patient identifiers)

Linked patients >= 65 years of age in the ACTION Registry–GWTG with Medicare claims data using indirect identifiers in combination (date of birth, sex, hospital identification, date of admission and date of discharge)

January 1 2007 through December 31 2010.

Longitudinal outcomes - Inpatient administrative data - Medicare Part A

Post-discharge warfarin and P2Y12 receptor inhibitor use - Medicare Part D data

Warfarin was the only anticoagulant agent available for clinical use

METHODS:

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Identified 1,23,349 patients > 65 years of age at 683 sites ACTION Registry–GWTG + Medicare insuranceI

64.7% (79,750 patients from 502 sites) were linked to Centers for Medicare & Medicaid Services dataI

6,098 patients with❏ Acute MI ❏ Eligible for Medicare during the index discharge month ❏ History of AF or atrial flutter ❏ Underwent in-hospital PCI with stent placement (data collection form) at 1 of 405 hospitals

in the ACTION Registry–GWTG

❏ Excluded❏ Died during the index hospitalization (374) ❏ Transferred out to another acute care hospital (63)❏ Left against medical advice or discharged on comfort measures or to

hospice (74). ❏ Not discharged on both aspirin and a P2Y12 antagonist (clopidogrel

prasugrel or ticlopidine (444)

❏ Excluded (184)❏ Documented contraindication to warfarin (103)❏ Missing data on discharge warfarin use (16)❏ Non-index admissions for patients with multiple records (65)

AMI patients with AF or atrial flutter with stent placement discharged home on DAPT (5,143)

Final analysis population (4,959 patients; 400 sites)

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OUTCOMES & DEFINITIONS:

❏ Primary effectiveness outcome:• MACE at 2 years

MACE = Death or readmission for MI or stroke (ischemic and hemorrhagic)

❏ Secondary effectiveness outcomes:• Individual components of the composite MACE outcome• Ischemic stroke alone

❏ Primary safety endpoint:• Bleeding readmission within 2 years after the index hospitalization

(Including ICH)

❏ Outcomes - Identified using ICD-9 codes from Medicare inpatient claims data.

❏ Patients were classified according to stroke risk and bleeding risk.• CHADS2 risk score• ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) risk score

ATRIA:

Anemia (Hb <13 g/dl in men <12 g/dl in women) ORSevere renal disease (GFR <30 ml/ min or dialysis dependent)

3

>75 years 2

Hypertension or Prior bleeding 1

>3 - High bleeding risk

CHADS2:

congestive heart failure Hypertension age >75 years or DM

1

History of stroke or transient ischemic attack. 2

For sensitivity of analysis:

❏ Post-discharge warfarin and P2Y12 inhibitor prescription fill information - Medicare Part D prescription claims database ❏ Examined Medication persistence at 90 days after discharge - defined as continuation of the medication prescribed at discharge

without a gap in filling >60 days ❏ Examined Warfarin initiation post-discharge - determining time to first warfarin prescription fill post-discharge.

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❏ Variables used in propensity models:

❏ Age❏ Sex ❏ Body mass index ❏ Hypertension ❏ Dyslipidemia ❏ Diabetes ❏ Peripheral artery disease ❏ Prior MI ❏ Prior PCI ❏ Prior coronary artery bypass grafting (CABG) ❏ Prior heart failure ❏ Prior stroke ❏ Prior bleeding within 1 year ❏ Home medications (i.e. aspirin, beta-blocker, angiotensin-converting enzyme inhibitor or angiotensin receptor blocker statin) ❏ MI type (STEMI vs. NSTEMI) ❏ Signs and symptoms of heart failure at presentation or in-hospital ❏ Left ventricular ejection fraction (i.e. >40%, <40%, not evaluated) ❏ Baseline hemoglobin ❏ Baseline creatinine ❏ Arrival-to-cardiac catheterization time <48 h ❏ Multivessel disease ❏ Drug-eluting stent (DES) versus bare-metal stent use ❏ Discharge medications (i.e. angiotensin-converting enzyme inhibitor or angiotensin receptor blocker statin) ❏ Hospital region and teaching status❏ In-hospital major bleeding

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❏ In-hospital major bleeding:

❏ Absolute hemoglobin decrease of >4 g/dl ❏ Intracranial hemorrhage ❏ Documented or suspected retroperitoneal bleed ❏ Any red blood cell transfusion with baseline hemoglobin >9 g/dl❏ Transfusion with baseline hemoglobin <9 g/dl with a suspected bleeding event. ❏ Only preoperative bleeding events in CABG patients were included❏ All variables had a missing rate <1%.

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Assessed how the Discharge Therapy and Outcomes relationship differs in the following subgroups:a. Age >75 years Vs <75 years b. Female Vs male patientsc. High Vs low CHADS2 risk scored. High Vs low ATRIA bleeding risk scoree. DES Vs bare-metal stent usef. MI type (NSTEMI Vs STEMI).

Secondary analyses:

As a sensitivity study:

Landmark Analysis:● Examined the association between 90-day treatment status and subsequent MACE and bleeding outcomes.● Compared outcomes:

○ Discharged on warfarin + persistently on warfarin therapy at 90 days post discharge Vs Not discharged on warfarin and/or who did not fill a warfarin prescription within 90 days post-discharge.

All analyses were conducted by the Duke Clinical Research Institute.

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RESULTS:

PATIENT AND IN-HOSPITAL CHARACTERISTICS:

PATIENT AND IN-HOSPITAL CHARACTERISTICS:

DAPT3,589

Triple T1,370

MI+AF+PCI 72.4% 27.6%

Male Or Female Female Male

H/o PCI or CABG, prior stroke, and recent AF or atrial flutter

Less frequent More frequent

On warfarin before admission Less frequent More frequent

In-hospital major bleeding event More frequent Less frequent

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RESULTS

CHADS2 Score ATRIA Score

Warfarin Use Increased with Predicted stroke risk.

No association with Predicted bleeding risk.

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RESULTS

PATIENT AND IN-HOSPITAL CHARACTERISTICS: DAPT3,589

Triple T1,370

Presented with STEMI Or NSTEMI STEMI NSTEMI

LVEF < 40% Or > 40% > 40% < 40%

Use of glycoprotein IIb/IIIa inhibitors during PCI Greater Use Bivalirudin

DES implantation for Primary PCI in STEMI No difference

DES implantation for Primary PCI in NSTEMI More likely Less likely

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CLINICAL OUTCOMES

DAPT Triple T P Value

Unadjusted cumulative incidence rates of 2-year MACE

32.7% Vs 32.6% P=0.99

No difference

Unadjusted Cumulative incidence rates of 2-year MACE

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CLINICAL OUTCOMES

DAPT Triple T P Value

Unadjusted cumulative incidence rates of 2-year MACE

32.7% Vs 32.6% P=0.99

No difference

Individual MACE component

All-cause mortality 24.8% 23.8% 0.70

Individual MACE component: All Cause Mortality

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CLINICAL OUTCOMES

DAPT Triple T P Value

Unadjusted cumulative incidence rates of 2-year MACE

32.7% Vs 32.6% P=0.99

No difference

Individual MACE component

All-cause mortality 24.8% 23.8% 0.70

MI readmission 8.1% 8.5% 0.54

Individual MACE component: MI Readmission

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Individual MACE component: Stroke Readmission

CLINICAL OUTCOMES

DAPT Triple T P Value

Unadjusted cumulative incidence rates of 2-year MACE

32.7% Vs 32.6% P=0.99

No difference

Individual MACE component

All-cause mortality 24.8% 23.8% 0.70

MI readmission 8.1% 8.5% 0.54

Stroke readmission 5.3% 4.7% 0.23

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Individual MACE component: Ischemic Stroke

CLINICAL OUTCOMES

DAPT Triple T P Value

Unadjusted cumulative incidence rates of 2-year MACE

32.7% Vs 32.6% P=0.99

No difference

Individual MACE component

All-cause mortality 24.8% 23.8% 0.70

MI readmission 8.1% 8.5% 0.54

Stroke readmission 5.3% 4.7% 0.23

Ischemic Stroke 4.7% 3.2% 0.02

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CLINICAL OUTCOMES Triple T Compared to DAPT P Value

Adjusted (patients, Rx and Hospital Ch.)Cumulative incidence rates of 2-year MACE

No differenceHR: 0.99 [95% CI: 0.86 to 1.16] p = 0.94

Individual MACE component

All-cause mortality HR: 0.98 [95% CI: 0.83 to 1.16] 0.82

MI readmission HR: 1.03 [95%CI: 0.79 to 1.33] 0.83

Stroke readmission HR: 0.85 [95% CI: 0.58 to 1.23] 0.38

Ischemic Stroke HR: 0.66 [95% CI: 0.41 to 1.06] 0.09

CLINICAL OUTCOMES AFTER ADJUSTMENTS:

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BLEEDING OUTCOMES Unadjusted

DAPT Triple T P Value

Cumulative incidence rates of Bleeding requiring Hospitalization in 2 yr

11.0% 17.6% < 0.0001

BLEEDING OUTCOMES: According to Triple T. Vs DAPT

BLEEDING OUTCOMES After Adjustment

Triple T Compared to DAPT

Cumulative incidence rates of Bleeding requiring Hospitalization in 2 yr

HR: 1.61 [95% CI: 1.31 to 1.97] p < 0.0001

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BLEEDING OUTCOMES Unadjusted

DAPT Triple T P Value

Cumulative incidence rates of Bleeding requiring Hospitalization in 2 yr

11.0% 17.6% < 0.0001

Intracranial Hemorrhage 1.5% 3.4% < 0.0001

BLEEDING OUTCOMES After Adjustment

Triple T Compared to DAPT

Cumulative incidence rates of Bleeding requiring Hospitalization in 2 yr

HR: 1.61 [95% CI: 1.31 to 1.97] p < 0.0001

Intracranial Hemorrhage HR: 2.04 [95% CI: 1.25 to 3.34]p < 0.01

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SECONDARY ANALYSIS:

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Total Patients with Medicare part D prescription coverage before discharge Discharged on warfarin Discharged on DAPT only

1,591 72.2% (424) 27.8% (1,149)

Rates of warfarin persistence at 3 months 93.2% (n . 412)

Rates of P2Y12 inhibitor persistence 94.7% (n . 1,088)

Post discharge antithrombotic medication persistence:

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Filled warfarin prescription within 90 days

Not Discharged on warfarin 11.4% (n . 232)

Of 425 with CHADS2 score >2 + Not Discharged on warfarin 12.7% (n. 54)

LANDMARK ANALYSIS: Starting 90 days post discharge

Persistently on warfarin Vs Not discharged with + did not fill warfarin prescription

Risk of MACE - Similar adjusted HR: 0.96 [95% CI: 0.67 to 1.36] p . 0.81

Higher trend for Risk of bleeding adjusted HR: 1.50 [95% CI: 0.92 to 2.46] p . 0.10

Use triple therapy for as short a time as possible + Careful consideration of stroke, thrombosis, and bleeding risk.

27.6% of older MI+AF+PCI = Triple therapyProportion increased with the estimated stroke risk and did not vary with the predicted bleeding risk.

Current practice guidelines:

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DISCUSSION:

National registry data from 2007 to 2010 from >400 U.S. hospitals to identify large cohort MI+AF+PCIOne of the largest studies

Focused on older population - Highest risk of thrombotic events but also of bleeding events. Large sample size + high risk population permitted good statistical power

Had access to detailed clinical information, treatment and events - include these variables in risk-adjusted models.

Medicare Part D data - to examine post-discharge warfarin persistence or initiation - added insight to findings

STRENGTHS:Adds to the literature in several ways:

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Method of AF identificationMedicare and registry data - Not validatedDifferences in the data source for AF diagnosis between groups could result in bias.

Observational StudyUnmeasured confounders - No data regarding provider rationale for treatment choices (e.g., timing, type, or duration of AF; patient bleeding risk; upcoming invasive procedures)Selection bias persists despite adjustment.

Significant postdischarge treatment crossoverlarge drop in the proportion of patients taking warfarin between 6 and 12 months.

May mask potential associations between warfarin use and outcomes

Multiple factors:Uncaptured bleeding eventsReassessment of fall risk in this older populationMedication discontinuation for proceduresDifficulty with INR monitoring

STUDY LIMITATIONS:

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Only included bleeding event requiring hospitalizationBleeding of lesser severity - Outpatient treatment and evaluation

Did not have adequate sample size to compare combinations of antithrombotic therapies other than Triple T versus DAPT

Could not assess novel oral anticoagulant agents

Could not use the HAS-BLED OR HEMORR2HAGES bleeding score

Analysis focused on older patients

STUDY LIMITATIONS

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CONCLUSIONS:

One of the largest studies

¼ discharged on triple therapy

Triple therapy use increased with predicted stroke risk but not with bleeding risk

Use of triple therapy Not associated with a lower 2-year risk of mortality or MACE.Associated with a significantly higher early and long-term risk of bleeding, including intracranial hemorrhage.Association was persistent among subgroups.

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LINKED

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Mechanism of Action - P2Y12 Receptor Antagonists Mechanism of action of the P2Y12 antagonists.

P2Y1 and P2Y12 are G-coupled receptors which utilize ADP as an agonist.

P2Y1 (Gq-coupled receptor) - Stimulation of PLC and phosphatidylinositol-signaling pathway.

P2Y12 (Gi-coupled 7-transmembrane domain receptor)

❏ Inhibits an AC-mediated signaling pathway and decreases the cAMP intracellular levels.

❏ Inhibits PI3K and induces Akt kinase activation.

Decrease in cAMP

❏ Reduces the rate of phosphorylation of VASP

❏ Activation of the GPIIb/IIIa receptor and platelet aggregation.

AC: Adenyl cyclase;

PLC: Phospholipase C;

VASP: Vasodilator-stimulated phosphoprotein;

VASP-P: Vasodilator-stimulated phosphoprotein phosphorylation.

Return

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History of AF or atrial flutter

Considered to be present

During the 2 weeks before the MI admission - ACTION Registry–GWTG data collection form

ICD-9 code 427.3x - inpatient or outpatient encounter billing record - 1 year before index MI hospitalisation

Return

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HAS-BLED

Return

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HEMORR2HAGES

Return

HEMORR2HAGES – The HEMORR2HAGES score was created by combining risk factors from existing scoring systems [19]. Each factor is assigned 1 point, with the exception of a previous bleeding episode (2 points):

•Hepatic or renal disease

•Ethanol abuse

•Malignancy

•Older age (>75 years)

•Reduced platelet count or function, including aspirin therapy

•Rebleeding risk (history of prior bleed)

•Hypertension

•Anemia

•Genetic factors

•Excessive fall risk

•Stroke

Risks of major bleeding per 100 patient-years were 1.9 (0 points), 2.5 (1 point), 5.3 (2 points), 8.4 (3 points), 10.4 (4 points), and 12.3 (≥5 points).