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Gregg W. Stone, MD PROSPECT Investigators

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1 Gregg W. Stone, MD PROSPECT Investigators
3/27/2017 The PROSPECT Trial Providing Regional Observations to Study Predictors of Events in the Coronary Tree A Natural History Study of Atherosclerosis Using Multimodality Intracoronary Imaging to Prospectively Identify Vulnerable Plaque This is the Main Title Slide There is no Master for this particular slide, as it is used only once for each presentation. To use this slide in your presentation, merely retype the title and the list of participating doctors. Gregg W. Stone, MD PROSPECT Investigators TCT DRAFT 1 1

2 The PROSPECT Trial Gregg W. Stone
Scientific Advisory Board, Abbott Vascular Devices Consultant to InfraReDx

3 The PROSPECT Trial Background
Most cases of sudden cardiac death and MI are believed to arise from plaque rupture with subsequent thrombotic coronary occlusion of angiographically mild lesions (“vulnerable plaques”), the prospective detection of which has not been achieved The event rate attributable to progression of vulnerable plaque has never been prospectively assessed

4 PROVE-IT TIMI-22 4,162 Randomized Pts with ACS
26.3% Pravastatin 40 mg/d 22.4% 16% RR P = 0.005 Atorvastatin 80 mg/d Death, MI, UA requiring hosp, revasc >30d, or stroke (%) How many events were attributable to: ) Restenosis, stent thrombosis, etc. vs ) Significant disease left behind, vs ) VP with rapid lesion progression? This is the Sample Column Chart slide. To create this particular slide, copy and paste the sample in the Slide Sorter view as follows: Select View / Slide Sorter Highlight the Sample Column Chart page and select Edit / Copy Place the courser where you want the new slide to be and select Edit / Paste Double-click on the pasted-in slide to return to Slide view To access the column chart, right/click on the chart and select chart object / open from the menu. This will open the chart in Microsoft Graph. You can make any changes to the chart and spreadsheet here. When you are finished making your changes, select File / Exit and return to… from the menu bar. THIS METHOD IS PREFERRED TO DOUBLE-CLICKING THE GRAPH AND OPENING IT IN POWERPOINT. Double-clicking the graph can sometimes reformat the sizes, colors, animations and fonts in your graph. ACS median 7d PCI 69% Cannon CP et al. NEJM 2004;350:

5 The PROSPECT Trial Background
We therefore performed a prospective, multicenter natural history study using 3 vessel multimodality intracoronary imaging to quantify the clinical event rate due to atherosclerotic progression and to identify those lesions which place pts at risk for unexpected adverse cardiovascular events

6 The PROSPECT Trial 700 pts with ACS Formally enrolled
3/27/2017 The PROSPECT Trial 700 pts with ACS UA (with ECGΔ) or NSTEMI or STEMI >24º undergoing PCI of 1 or 2 major coronary arteries at up to 40 sites in the U.S. and Europe Metabolic S. Waist circum Fast lipids Fast glu HgbA1C Fast insulin Creatinine Biomarkers Hs CRP IL-6 sCD40L MPO TNFα MMP9 Lp-PLA2 others PCI of culprit lesion(s) Successful and uncomplicated Formally enrolled PI: Gregg W. Stone Sponsor: Abbott Vascular; Partner: Volcano TCT DRAFT 6 6

7 3-vessel imaging post PCI
3/27/2017 The PROSPECT Trial 3-vessel imaging post PCI Culprit artery, followed by non-culprit arteries Angiography (QCA of entire coronary tree) IVUS Virtual histology Palpography (n=~350) Repeat imaging in pts with events Meds rec Aspirin Plavix 1yr Statin Repeat biomarkers @ 30 days, 6 months Proximal 6-8 cm of each coronary artery MSCT Substudy N=50-100 F/U: 1 mo, 6 mo, 1 yr, 2 yr, ±3-5 yrs TCT DRAFT 7 7

8 PROSPECT: Primary Endpoint
3/27/2017 PROSPECT: Primary Endpoint MACE attributable to rapid angiographic progression of a non-culprit lesion* Cardiac death Cardiac arrest Myocardial infarction Unstable angina - Requiring revascularization - Requiring rehospitalization Increasing angina Hierarchical Most severe Least severe MACE during FU were adjudicated by the CEC as attributable to culprit lesions (those treated during or before the index hospitalization) or non culprit lesions (untreated areas of the coronary tree) based on angiography (+ECGs, etc.) at the time of the event; events occurring in pts without angiographic follow-up were considered indeterminate in origin. Rapid lesion progression = ↑ in QCA DS by >20% from baseline to FU. TCT DRAFT 8 8

9 PROSPECT: Methodology Angiographic Core Lab Analysis
Performed on every coronary artery (main vessel and branch) visually ≥1.5 mm in diameter Detailed qualitative and quantitative parameters recorded for every 1.5 mm length segment Distance from ostia and at major branch points were registered and corrected for foreshortening after IVUS co-registration Lesions with DS ≥30% by visual assessment identified Output available as lesions, CASS segments, and vessels, by every mm, or any other parameter

10 PROSPECT: Methodology IVUS/VH Core Lab Analysis
Gray-scale IVUS volumetric and cross-sectional analysis performed Each IVUS/VH frame co-registered to corresponding QCA location using fiduciary branch points IVUS lesions (≥3 consecutive frames with cross sectional plaque burden >40%) were characterized IVUS-VH analysis performed using the latest classification tree (pcVH 2.1) Plaque characterized as fibrotic, fibrofatty, necrotic core or dense calcium, and reported as absolute and relative area/volumes

11 PROSPECT: Methodology Virtual histology lesion classification
Lesions are classified into 5 main types 1. Fibrotic 2. Fibrocalcific 3. Pathological intimal thickening (PIT) 4. Thick cap fibroatheroma (ThCFA) 5. VH-thin cap fibroatheroma (VH-TCFA) (presumed high risk)

12 2/6/07 (51 weeks later): NSTEMI attributed to LCX
PROSPECT : 52 yo♂ 2/13/06: NSTEMI, PCI of MLAD 2/6/07 (51 weeks later): NSTEMI attributed to LCX Event 2/6/07 QCA PLCX DS 28.6% QCA PLCX DS 71.3% Index 2/13/06

13 QCA: RVD 2.82 mm, DS 28.6%, length 6.8 mm
PROSPECT : Index 2/13/06 Baseline PLCX QCA: RVD 2.82 mm, DS 28.6%, length 6.8 mm IVUS: MLA 5.3 mm2 VH: ThCFA 1 * Lesion prox *OM 1. ThCFA 5.3 mm2 38

14 PROSPECT: Event Categories
CEC adjudicated MACE during follow-up • Culprit lesion (stent) related - Stent thrombosis - Restenosis - New side branch lesion • Non culprit lesion related - With rapid lesion progression (by QCA) (classic “vulnerable plaque”) - Without rapid lesion progression • Indeterminate

15 PROSPECT: Organization
PI: Gregg W. Stone; Co-PI: Patrick W. Serruys European Co-PI: Bernard de Bruyne Data management: Abbott Vascular; Zhen Zhang (lead statistician) Clinical events committee: CRF, Roxana Mehran (Chair), George Dangas Core laboratories QCA: CRF, Alexandra Lansky (Director), Ecaterina Cristea IVUS, Virtual Histology: CRF, Akiko Maehara (Director), Gary S. Mintz Palpography: Cardialysis, Marie-Angèle Morel MSCT: Thoraxcenter, Pim de Feyter (Director) Biomarkers: CRL Medinet DSMB: Steve Steinhubl (Chair) Sponsor and Partner: Abbott Vascular and Volcano Corp. Abbott Vascular Program Leads: Barry Templin and Wai-Fung Cheong

16 PROSPECT: Enrollment Top 10 enrollers
3/27/2017 PROSPECT: Enrollment 700 pts enrolled between Oct and June and followed for at least 3 years Europe: 403 pts enrolled at 18 sites U.S.: 297 pts enrolled at 19 sites 66 pts Rotterdam (Serruys) 64 pts St. Thomas (McPherson) 54 pts Aalst (de Bruyne) 44 pts Elyria Memorial Hosp (Farhat) 40 pts St. Luke’s Hosp (Marso) 38 pts Gothenburg (Wennerblom) 32 pts Vigo (Iniguez) 31 pts Toulouse (Fajadet) 30 pts South Carolina Heart (Foster) 28 pts Antwerp (Verheye) Top 10 enrollers TCT DRAFT 16 16

17 PROSPECT: Baseline Features
3/27/2017 PROSPECT: Baseline Features N = 697* p.42 - prospect_clinsynd.sas Updated with 2008 data – BJW *3 patients who were never consented were de-registered TCT DRAFT

18 PROSPECT: Baseline Features
3/27/2017 PROSPECT: Baseline Features N = 697 Age (yrs, median) 58 [50, 66] Gender (female) 24.0% Diabetes mellitus 16.9% - Insulin requiring 3.0% Current cigarette use 47.1% Hypertension 45.8% Hyperlipidemia 40.0% Prior MI 10.5% Single / double / triple vessel disease 20% / 41% / 39% Total arteries with vs. without PCI 892, 1199 PCI performed in 1 or 2 arteries 72% / 28% PCI of LAD / LCX / RCA (per artery) 41% / 27% / 32% Median [IQR] follow-up (years) 3.4 [1.9, 3.9] p.43 - prospect_xxxxx.sas (basedemog, diabstat, base risk) , PCI ?? Updated with September 2008 data – BJW TCT DRAFT

19 PROSPECT: Imaging Summary
3/27/2017 PROSPECT: Imaging Summary Length of coronary arteries analyzed (core lab) Mean (mm) Angiography (N=697) IVUS and VH (N=615) LM 9.3 ± 4.3 9.0 ± 6.3 LAD 155.7 ± 41.0 72.6 ± 33.2 LCX 135.4 ± 49.9 61.7 ± 35.9 RCA 149.9 ± 44.7 81.6 ± 38.0 Total per pt 446.2 ± 84.0 193.3 ± 81.6 Total all pts 311,016 118,670 TCT DRAFT 19

20 PROSPECT: Imaging Summary
3/27/2017 PROSPECT: Imaging Summary Virtual histology (N=2689 lesions in 615 pts) - Mean plaque composition- Plaque subtype N=2689 Fibrotic 2.5% Fibrocalcific 1.1% PIT 35.9% Fibroatheroma 59.9% - Thick cap 37.8% - VH-TCFA 22.1% - Single, - Ca 5.4% - Single, + Ca 0.5% - Multiple, - Ca 9.8% - Multiple, + Ca 6.4% Unclassified 0.7% p.78- TCT_IT_T22_t_nonculp_Companalysis_IVUS_vess_regroup p3 for the left pie chart. TCT_IT_t23_nonculp_Lesiontype_IVUS_vess for the right side percentages. Updated with September 2008 data - BJW TCT DRAFT

21 PROSPECT: Imaging Summary
3/27/2017 PROSPECT: Imaging Summary Per patient incidence of VH-TCFAs N lesions/patient: 51.2% of pts have ≥1 VH-TCFA 0.97 ±1.30 VH-TCFAs per pt (range 0 – 7 per pt) Total of 594 VH-TCFA lesions in 615 pts p.80: Table 12 (June meeting) – Percentages are based on 614 pats total). Total of 361 pats with 581 TCFA lesions. \TCT_MLA_t12.t_nonculp_lestype_ivusVH_pat2.sas Updated with September data - BJW TCT DRAFT 21

22 PROSPECT: MACE MACE (%) 20.4% 12.9% 11.6% 2.7% Time in Years All
Culprit lesion (CL) related Non culprit lesion (NCL) related Indeterminate 25 20.4% 20 12.9% 15 MACE (%) 11.6% 10 5 2.7% 1 2 3 Time in Years Number at risk ALL 697 557 506 480 CL related 590 543 518 NCL related 595 553 521 Indeterminate 634 604 583

23 PROSPECT: MACE MACE (%) 20.4% 12.9% 11.6% 2.7% Time in Years All
Culprit lesion (CL) related Non culprit lesion (NCL) related Indeterminate 25 20.4% 20 18.1% 13.2% 12.9% 15 MACE (%) 11.4% 11.6% 10 7.9% 9.4% 5 6.4% 2.7% 1.9% 0.9% 1 2 3 Time in Years Number at risk ALL 697 557 506 480 CL related 590 543 518 NCL related 595 553 521 Indeterminate 634 604 583

24 3-year follow-up, non hierarchical
PROSPECT: MACE 3-year follow-up, non hierarchical All Culprit lesion related Non culprit lesion related Indeter-minate Cardiac death 1.9% (12) 0.2% (1) 0% (0) 1.8% (11) Cardiac arrest 0.5% (3) 0.3% (2) MI (STEMI or NSTEMI) 3.3% (21) 2.0% (13) 1.0% (6) Unstable angina 8.0% (51) 4.5% (29) Increasing angina 14.5% (93) 9.2% (59) 8.5% (54) Composite MACE 20.4% (132) 12.9% (83) 11.6% (74) 2.7% (17) Cardiac death, arrest or MI 4.9% (31) 2.2% (14) Rates are 3-yr Kaplan-Meier estimates (n of events)

25 Sensitivity analysis*: 3-year FU, non hierarchical
PROSPECT: MACE Sensitivity analysis*: 3-year FU, non hierarchical All Culprit lesion related Non culprit lesion related* Cardiac death 1.9% (12) 0.2% (1) 1.8% (11) Cardiac arrest 0.5% (3) 0.3% (2) MI (STEMI or NSTEMI) 3.3% (21) 2.0% (13) 1.3% (8) Unstable angina 8.0% (51) 4.5% (29) 3.8% (24) Increasing angina 14.5% (93) 9.2% (59) 8.8% (56) Composite MACE 20.4% (132) 12.9% (83) 13.3% (85) Cardiac death, arrest or MI 4.9% (31) 2.2% (14) 2.9% (18) Rates are 3-yr Kaplan-Meier estimates (n of events) *Assuming all indeterminate events are non culprit related

26 PROSPECT: NCL MACE MACE (%) 11.6% 6.7% 6.4% Time in Years
Non-culprit lesion (NCL) related, all - Without rapid lesion progression (RLP) - With rapid lesion progression (RLP) 11.6% 12 10 8 6.7% MACE (%) 6 6.4% 4 2 1 2 3 Time in Years Number at risk NCL related, all 697 595 553 521 - without RLP 610 577 551 - with RLP 620 579 550

27 PROSPECT: NCL MACE MACE (%) 11.6% 6.7% 6.4% Median time to event
Non-culprit lesion (NCL) related, all - Without rapid lesion progression (RLP) - With rapid lesion progression (RLP) 11.6% 12 9.4% 10 8 6.4% 6.7% MACE (%) 5.5% 6 6.4% 4.1% 4.9% 4 Median time to event No RLP: 223 [85, 663] days RLP: 401 [229, 666] days 2 2.9% 1 2 3 Time in Years Number at risk NCL related, all 697 595 553 521 - without RLP 610 577 551 - with RLP 620 579 550

28 PROSPECT: Correlates of Non Culprit Related Events
Baseline variables examined (n=152) Demographic, history and PE (n=19) Labs (n=7; including CrCl, lipids, hgbA1C, CRP) Angio non core lab (n=1; visible lesions >30% DS) QCA measures (n=12) IVUS area and volumetric measures (n=22) Virtual histology measures (n=74) Treatment related (n=1; # vessels stented) Medications in-hosp. and at discharge (n=16)

29 PROSPECT: Correlates of Non Culprit Lesion Related Events
Patient level events at median 3.4 yrs (76 events in 689 pts*) Baseline Demographic and Angiographic Variables Variable KM Rate (n) HR [95% CI] HR [95% CI] P Insulin DM (n=21) 41.4% (6) [1.75, 9.46] 0.001 Non insulin DM (n=96) 16.3% (14) [0.86, 2.79] 0.14 Non diabetic (n=569) 10.7% (56) Hypertension (n=314) 14.7% (42) [1.03, 2.60] 0.04 No hypertension (n=369) 9.1% (31) Prior PCI (n=75) 23.1% (15) [1.25, 3.86] 0.006 No prior PCI (n=613) 10.8% (61) ≥1 visible angio lsn* (n=582) 13.7% (73) [1.49, 14.98] 0.008 No visible angio lsn (n=107) 3.2% (3) 1 5 10 15 *Visually assessed DS >30% Univariate, unadjusted. * 8 patients with indeterminate events were excluded.

30 PROSPECT: Correlates of Non Culprit Lesion Related Events
Lesion level events (51 events from 2673 lesions in 609 pts at median 3.4 yrs) IVUS Characteristics (area data) Variable Rate (n) HR [95% CI] HR [95% CI] P MLA < median 5.9 mm2 (n=1336) 3.4% (45) [3.21, 17.65] <0.0001 MLA ≥ median 5.9 mm2 (n=1337) 0.4% (6) MLA ≤ 4.0 mm2 (n=496) 5.4% (27) [2.89, 8.68] <0.0001 MLA > 4.0 mm2 (n=2177) 1.1% (24) PBMLA ≥ median 0.55 (n=1337) 3.3% (44) [2.87, 14.15] <0.0001 PBMLA < median 0.55 (n=1336) 0.5% (7) PBMLA ≥ 0.70 (n=242) 9.1% (22) [4.56, 13.81] <0.0001 PBMLA < 0.70 (n=2431) 1.2% (29) EEMMLA ≥ med 14.3 mm2 (n=1337) 1.4% (19) [0.34, 1.06] 0.08 EEMMLA < med 14.3 mm2 (n=1336) 2.4% (32) Lsn length < med 11.6 mm (n=1336) 0.7% (10) [2.01, 8.02] <0.0001 Lsn length ≥ med 11.6 mm (n=1337) 3.1% (41) 1 5 10 15 MLA = minimal luminal area; PBMLA = plaque burden at the MLA; EEMMLA = external elastic membrane at the MLA. Data represent univariate associations, unadjusted.

31 PROSPECT: Correlates of Non Culprit Lesion Related Events
Lesion level events (51 events from 2655 lesions in 609 pts at median 3.4 yrs) Virtual Histology Plaque Type Variable Rate (n) HR [95% CI] HR [95% CI] P VH-TCFA (n=590) 4.4% (26) [2.22, 6.65] <0.0001 Not VH-TCFA (n=2065) 1.2% (25) ThCFA (n=1005) 1.8% (18) [0.50, 1.58] 0.69 Not ThCFA (n=1650) 2.0% (33) PIT (n=964) 0.6% (6) [0.10, 0.53] 0.001 Not PIT (n=1691) 2.7% (45) Fibrotic (n=67) 0% (0) Not Fibrotic (n=2588) 2.0% (51) Fibrocalcific (n=29) 3.4% (1) [0.24, 12.63] 0.58 Not fibrocalcific (n=2626) 1.9% (50) 1 5 10 15 TCFA = thin cap fibroatheroma; ThCFA = thick cap fibroatheroma; PIT = pathologic intimal thickening. Univariate, unadjusted.

32 PROSPECT: Multivariable Correlates of Non Culprit Lesion Related Events
Independent predictors of lesion level events by logistic regression analysis Variable OR [95% CI] P value PBMLA ≥70% 4.99 [2.54, 9.79] <0.0001 VH-TCFA [1.68, 5.37] MLA ≤4.0 mm [1.32, 5.81] 0.007 Lesion length ≥11.6 mm 1.97 [0.94, 4.16] 0.07 EEMMLA <14.3 mm [0.62, 2.75] 0.49 Variables entered into the model: Minimal luminal area (MLA); plaque burden at the MLA (PBMLA); external elastic membrane at the MLA (EEMMLA) <median; lesion length ≥ median (mm); VH-TCFA.

33 PROSPECT: Correlates of Non Culprit Lesion Related Events
If this number is for MLA <=4 then the previouse prevalence was wrong Lesion HR 3.8 (2.2, 6.6) 5.0 (2.9, 8.7) 7.9 (4.6, 13.8) 6.4 (3.4, 12.2) 6.7 (3.4, 13.0) (5.5, 21.0) (4.3, 27.2) P value < < < < < < <0.0001 Prevalence* 51.2% 49.1% 30.7% 17.4% 15.4% 11.0% 4.6% *Likelihood of one or more such lesions being identified per patient. PB = plaque burden at the MLA

34 PROSPECT: VH-TCFA and Non Culprit Lesion Related Events
Lesion HR (2.22, 6.65) (3.35, 12.24) (5.53, 21.00) (4.30, 27.22) P value < < < <0.0001 Prevalence* 51.2% 17.4% 11.0% 4.6% *Likelihood of one or more such lesions being present per patient. PB = plaque burden at the MLA

35 PROSPECT: PIT and Non Culprit Lesion Related Events
Lesion HR (0.10, 0.56) ( ) (0.19, 9.86) (0.39, 20.67) P value Prevalence* 68.6% 17.2% 5.7% 2.6% *Likelihood of one or more such lesions being present per patient. PB = plaque burden at the MLA

36 PROSPECT: Conclusions
From this trial, the first prospective, natural history study of atherosclerosis using multimodality imaging to characterize the coronary tree, we can conclude that: Approximately 20% of pts with ACS successfully treated with stents and contemporary medical Rx develop MACE within years, with adverse events equally attributable to recurrence at originally treated culprit lesions (treatment failure) and to previously untreated non culprit coronary segments Approximately 12% of pts develop MACE from non culprit lesions during 3 years of follow-up Patients treated with contemporary medical therapy who develop non culprit lesion events present most commonly with progressive or unstable angina, and rarely with cardiac death, cardiac arrest or MI

37 PROSPECT: Conclusions
While plaques which are responsible for unanticipated future MACE are frequently angiographically mild, most untreated plaques which become symptomatic have a large plaque burden and a small lumen area (which are detectable by IVUS but not by angiography) Only about half of new events due to non culprit lesions exemplify the classic notion of vulnerable plaque (rapid lesion progression of mild angiographically lesions), while half are attributable to unrecognized and untreated severe disease with minimal change over time The prospective identification of non culprit lesions prone to develop MACE within 3 years can be enhanced by characterization of underlying plaque morphology with virtual histology, with VH-TCFAs representing the highest risk lesion type The combination of large plaque burden (IVUS) and a large necrotic core without a visible cap (VH-TCFA) identifies lesions which are at especially high risk for future adverse cardiovascular events


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