Late Loss Is The Single Best Parameter For Estimating Stent-Based Restenosis Resistance

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Late Loss Is The Single Best Parameter For Estimating Stent-Based Restenosis Resistance Richard Kuntz Brigham and Women s s Hospital Harvard Medical School

Late Loss and DES Brief history of Late Loss Restenosis Endpoints Late Loss and Clinical Restenosis Late Loss Headroom Real Data on Late Loss and Clinical Restenosis Conclusion

New Restenosis Concepts Acute Gain Late Loss Net Gain Kuntz,...Baim The importance of acute luminal diameter in determining restenosis After coronary atherectomy or stenting. Circulation 1992;1827-1835

Human Proportional Injury Model Late loss (neointimal surrogate) is proportional to acute gain (injury surrogate) Loss Index: Ratio of Loss-to-Gain Human Porcine Kuntz, Baim. Generalized model of restenosis after conventional balloon angioplasty, stenting and directional atherectomy. J Am Coll Cardiol 1993;21:15-25.

Late Loss Intuitive measure of coronary obstruction potential Measured at the follow-up MLD Best measurement of the principal physiological flow resistor Flow is reduced by the 4 th order of reduction in the radius of the MLD Not described by volume estimators It is the target of drug therapy That is, we aim to reduce maximum late loss!

FIM Sirolimus: Angiographic Results mm 3 2.5 2 1.5 1.93.91 2.74 2.67 2.69 2.55 2.28 2.47 2.32 2.5 Is This Going to be a Good Stent? I What is the In-stent Late Loss? Late Loss =.11 mm 2.63 2.34.5 In-lesion MLD Pre Post 4 mo 6 mo 12 mo 18 mo 24 mo Fast Release Slow Release

RAVEL: 6-Month QCA (n=238) Late Loss.9.8 p<.1.8 Sirolimus Control n=12 n=118 mm.7.6.5.4 p<.1.47.3.2.1 -.1 -.5 -.1 LL In-Stent LL In-Segment

SIRIUS: Clinical Events All Events (To 9 Months) Events Sirolimus % n=533 Control % n=525 P-value Death.9 (5).6 (3).726 MI (all) 2.8 (15) 3.2 (17).723 Q-wave.8 (4).4 (2).687 Non Q-wave 2.1 (11) 2.9 (15).433 TLR (clinically 4.1 (22) 16.6 (87) <.1 driven) TVR (non-tl) 3.2 (17) 4.8 (25).21 MACE 7.1 (38) 18.9 (99) <.1 TVF (1 st Endpoint) 8.6 (46) 21. (11) <.1

Pivotal DES Trial Comparisons TLR to 9 Months 18 16 14 12 1 8 6 4 2 12.1 IS LL=.62 4.6 11.3 IS LL=.39 3. 16.6 IS LL=.17 4.1 Endeavor Taxus Sirius Control DES

Late Loss and DES Brief history of Late Loss Restenosis Endpoints Late Loss and Clinical Restenosis Late Loss Headroom Real Data on Late Loss and Clinical Restenosis Conclusion

Restenosis Endponts Target Lesion Revascularization Best endpoint in a randomized Trial Needs large sample size for stable Estimation High level of influence by case-mix confounders renders it almost meaningless in comparison across trials. Late Loss (In-stent version only) Stable and efficient estimate for any stent-type type Less influenced by case-mix confounders, and provides a signature value for any particular stent.

Restenosis Endponts The Noise Factor Target Lesion Revascularization Affected by Lesion length Diabetes prevelance Reference vessel size Threshold for revascularization (5-7% renarrowing) Estimates are wide ranging for BMS and DES In-Stent Late Loss Affected by Diabetes Lesion length Relatively more stable across trials

Risk and Restenosis Some Contemporary Clinical Restenosis Rates 6-9 Month TLR Rate 2.% 15.% 1.% 5.%.% 16.6% 11.3% 12.1% 4.1% 4.5% 4.6% 4.6% 3.% 3.1% 1.9% Recent BMS and DES Trials Mauri L, Kuntz R submitted for publication

Risk and Restenosis 6-9 Month TLR Rate Some Contemporary Clinical Restenosis Rates 2.% 15.% 1.% 5.% BMS DES 4.1% 4.5% 4.6% 4.6% 3.% 3.1% 1.9% 11.3% 12.1% 16.6%.% Recent BMS and DES Trials Mauri L, Kuntz R submitted for publication

Risk and Restenosis 6-9 Month TLR Rate Some Contemporary Clinical Restenosis Rates 2.% 15.% 1.% 5.% BMS Vision Taxus-T4 DES Driver Cypher-S P-S-Music BX-Venus Endeavor-E2 4.1% 4.5% 4.6% 4.6% 3.% 3.1% 1.9% Driver-E2 Express-T4 11.3% 12.1% BX-S 16.6%.% Recent BMS and DES Trials Mauri L, Kuntz R submitted for publication

3 In-Stent Late Loss and TLR Current DES and BMS Results 25 2 TLR (%) 15 1 5 -.2.2.4.6.8 1 1.2 1.4 1.6 Mean Late Loss (mm) Cypher Taxus Endeavor BMS

Late Loss and DES Brief history of Late Loss Restenosis Endpoints Late Loss and Clinical Restenosis Late Loss Headroom Real Data on Late Loss and Clinical Restenosis Conclusion

Late Loss Correlates with BAR in DES 45 45 4 35 4 35 3 25 2 15 1 5 Series1 BAR 3 25 2 15 1 5 Series1.2.4.6.8 1 1.2.2.4.6.8 1 1.2 Pacl. studies --limus studies Existing DES Trials Points are all DES studies with Binary and LL reported (obviously time points etc vary between 6 and 12 months) BAR 45 4 35 3 25 2 15 1 5 All studies Series1.2.4.6.8 1 1.2

Late Loss is Monotonic (derived from 22 RCTS) The higher the Late loss, the wider the standard deviation This means that it is always better to have a lower late loss In Stent Late Loss: mean vs. standard deviation.9 Standard Deviation (mm).8.7.6.5.4.3.2.1. -.2..2.4.6.8 1. 1.2 1.4 Mean (mm)

In-Stent Late Loss Does Correlate with the Data! Especially in the DES Late Loss Range (L Mauri, R Kuntz, Circulation in press) In-stent late loss vs. binary angiographic restenosis Binary Angiographic Restenosis (%) 5 45 4 35 3 25 2 15 1 5 -.1.1.3.5.7.9 1.1 1.3 Mean Late Loss (mm)

There is no Late Loss Threshold Biological effects are continuous In our 15 year BMS and DES experience, mean in-stent late loss ranges from.1 to 1.2 The Lower The Better Late Loss is Monotonic There is never an advantage of having a higher late loss The real question is: What is the magnitude of the late loss effect on restenosis To see the real relationship of late loss and predicted BAR, we need some mathematical treatment

Curvilinear Late Loss BAR Relationship (L.Mauri,, J Orav,, R Kuntz Circulation in press) 4. Mean Late Loss vs. Predicted Restenosis Rate 35. Binary Angiographic Restenosis (%) 3. 25. 2. 15. 1. 5...2.4.6.8 1 Mean Late Loss (mm)

Follow-up Percent Diameter Stenosis %DS is Correlated with In-Stent Late Loss (22 Trials L Mauri, R Kuntz) %DS vs Late Loss (In Stent) Series1 6. small vessel trials 5. % Diameter Stenosis 4. 3. 2. 1.. -.2..2.4.6.8 1. 1.2 1.4 Late Loss (mm)

Risk and Restenosis Late Loss and Clinical Restenosis Factors that put Late Loss into perspective Threshold of late loss that leads to clinical revascularization Thresholds are different across practices and countries Lower for small vessels Late Loss risk factors: diabetes and long lesions Shift the late Loss curves to the right Mauri L, Kuntz R submitted for publication

Frequency of Late Loss 3 25 Mean LL.2 mm Density (%) 2 15 1 Mean LL.4mm 5 -.8 -.4..4.8 1.2 1.6 2. 2.4 2.8 3.2 In-stent Late Loss (mm) Mauri L, Kuntz R submitted for publication

Frequency of Late Loss 2 15 Mean LL.6mm Density (%) 1 5 Mean LL 1.mm -.8 -.4..4.8 1.2 1.6 2. 2.4 2.8 3.2 In-stent Late Loss (mm) Mauri L, Kuntz R submitted for publication

3 25 Density of Late Loss LL=.2 mm LL=.4 mm LL =.6mm LL = 1.mm Density (%) 2 15 1 5 -.8 -.4..4.8 1.2 1.6 2. 2.4 2.8 3.2 In-stent Late Loss (mm) Mauri L, Kuntz R submitted for publication

Density (%) 35 3 25 2 15 1 5 Density of Late Loss mean late loss =.2mm.4mm.6mm 1.mm -.4..4.8 1.2 1.6 2. 2.4 2.8 In-stent Late Loss(mm) Mauri L, Kuntz R submitted for publication

35 Late Loss and TLR Effect of mean reference vessel diameter 3 25 2 15 1 5 Threshold for TLR If RVD=2.8 mm Threshold for TLR, If RVD=3.5 mm -.4..4.8 1.2 1.6 2. 2.4 2.8 Mauri L, Kuntz R submitted for publication

35 Late Loss and TLR Effect of small vessel stenting 3 25 2 15 1 Threshold for TLR If RVD=2.2 mm Threshold for TLR If RVD=2.8 mm 5 -.4..4.8 1.2 1.6 2. 2.4 2.8 Mauri L, Kuntz R submitted for publication

Density of Late Loss 35 3 25 2 Shift in Late loss Distributions Diabetics Long lesions Small vessels 15 1 5 -.4..4.8 1.2 1.6 2. 2.4 2.8 Mauri L, Kuntz R submitted for publication

35 3 25 2 Late Loss and TLR Effect of High Risk Characteristics Shift in Late loss Distributions Diabetics Long lesions Small vessels 15 1 5 -.4..4.8 1.2 1.6 2. 2.4 2.8 Mauri L, Kuntz R submitted for publication

Late Loss and DES Brief history of Late Loss Restenosis Endpoints Late Loss and Clinical Restenosis Late Loss Headroom Real Data on Late Loss and Clinical Restenosis Conclusion

Late Loss Headroom Late Loss headroom is the space of extra late loss available for high risk restenosis case-mix cohorts Headroom highest for low in-stent late loss stent systems

Late Loss Headroom 35 3 25 2 Late Loss Headroom 15 1 5 -.4..4.8 1.2 1.6 2. 2.4 2.8 Mauri L, Kuntz R submitted for publication

Late Loss Headroom 35 3 25 2 Case-Mix 1 Late Loss threshold for TLR Headroom available, but not needed for this case-mix 15 1 5 -.4..4.8 1.2 1.6 2. 2.4 2.8 Mauri L, Kuntz R submitted for publication

Late Loss Headroom 35 3 25 Case-Mix 2 Late Loss threshold for TLR Headroom allows for freedom for clinical restenosis 2 15 1 5 -.4..4.8 1.2 1.6 2. 2.4 2.8 Mauri L, Kuntz R submitted for publication

Late Loss Headroom Late Loss headroom is the space of extra late loss available for high risk restenosis case-mix cohorts Headroom highest for low in-stent late loss stent systems For low Late Loss stent systems, the headroom concept reduces the chance of high TLR over the wide range of case-mix risk Evident in real data from clinical trials

3 In-Stent Late Loss and TLR Late Loss Headroom 25 Late Loss Headroom 2 TLR (%) 15 1 5 -.2.2.4.6.8 1 1.2 1.4 1.6 Mean Late Loss (mm) Cypher Taxus Endeavor BMS L Mauri,, J Orav,, R Kuntz, submitted

Late Loss and DES Brief history of Late Loss Restenosis Endpoints Late Loss and Clinical Restenosis Late Loss Headroom Real Data on Late Loss and Clinical Restenosis Conclusion

Late Loss and TLR Inter- Relationship in Clinical Trials For low risk cohort studies and randomized trials, TLR will be low over a wide range of In-Stent Late Loss values In such case-mixes, DES stents should be valued on secondary characteristics of safety, deliverability, coverage, etc. For moderate to high risk cohort studies and randomized trials, high in-stent late loss values should predict higher TLR rates

Cypher vs. Taxus I

Cypher vs. Taxus II

SIRTAX: Late Luminal Loss % of Patients.4.3.2.1.13 ±.37 CYPHER (n=345) TAXUS (n=369) P <.1 P =.1.25 ±.49.19 ±.45.32 ±.55 In-Stent In-Segment Follow-up Angiography in 527 Patients With 714 Lesions

SIRTAX: Binary Restenosis 15 CYPHER (n=345) TAXUS (n=369) P =.13 P =.2 11.9 % of Patients 1 5 3.2 7.6 6.7 In-Stent In-Segment Follow-up Angiography in 527 Patients With 714 Lesions

SIRTAX: 9 Month Outcomes 15 CYPHER (n=53) TAXUS (n=59) P =.9 P =.25 % of Patients 1 5 6.2 1.8 4.8 8.3 Death, MI, or TLR Primary Endpoint TLR

ISAR-DIABETES Late Lumen Loss mm mm.8 P=.2.67.8 P<.1.6.4.43.6.4.45.2.2.19 Late lumen loss (in-segment) Late lumen loss (in-stent) CYPHER TAXUS Kastrati, A. ACC 5 LBCT Presentation

ISAR-DIABETES Restenosis Incidence, (%) Incidence, (%) 2 P=.3 2 P=.13 16.5 12 1 6.9 1 6.4 Angiog. Restenosis Clinical Restenosis (TLR) CYPHER TAXUS Kastrati, A. ACC 5 LBCT Presentation

Late Loss and DES Brief history of Late Loss Restenosis Endpoints Late Loss and Clinical Restenosis Late Loss Headroom Real Data on Late Loss and Clinical Restenosis Conclusion

Late Loss and Restenosis TLR and Risk Concepts Late Loss is a measure of the propensity for repeat revascularization Late Loss Head Room is the extra space available for higher risk lesions to provide freedom from repeat revascularization It s always good to have low late loss Restenosis Risk is important to consider when interpreting the impact of late loss Some trials have low risk patients, and BMSs do well Some trials have high risk patients, and low late loss is needed

Late Loss and Restenosis TLR and Risk Concepts When given any parameter for a new DES, a low TLR may be reflective of low restenosis risk in the studied cohort, but late loss (in-stent) will give the best estimate of restenosis resistance over the wide range of restenosis risk.