Presentation is loading. Please wait.

Presentation is loading. Please wait.

Jose M. de la Torre Hernández … in behalf of the 3D investigators

Similar presentations


Presentation on theme: "Jose M. de la Torre Hernández … in behalf of the 3D investigators"— Presentation transcript:

1 Jose M. de la Torre Hernández … in behalf of the 3D investigators
New Drug-eluting stents in patients with Diabetes Mellitus and multivessel Disease (3D registry) Rafael Romaguera Hospital de Bellvitge – IDIBELL Barcelona University, Spain Jose M. de la Torre Hernández Hospital M. de Valdecillas, Spain MIT, MA, United States … in behalf of the 3D investigators

2 Disclosures None

3 Background (I) Patients with Diabetes Mellitus (DM) and multivessel disease (MVD) remain at high risk for in-stent restenosis and adverse cardiovascular events despite the use of drug-eluting stents (DES). There is an ongoing debate about the best DES for patients with DM. To date, there are no comparisons between everolimus-eluting stents (EES) and resolute zotarolimus-eluting stents (R-ZES) in patients with DM and MVD.

4 Background (II) DES is not a binary variable (Yes or not)
Total drug amount Strut distance Release kinetics Polymer biocompatibility OBJECTIVE: To compare the clinical performance of EES vs R-ZES in patients with DM and MVD in the real-world practice

5 Design Nationwide registry of consecutive patients with DM and MVD.
Study conducted under the auspices of the Spanish Interventional Cardiology Society. 31 centers in Spain.

6 PRIMARY ENDPOINT: TLF at 24 months (Cardiac death, ST, MI, TLR)
Design INCLUSION CRITERIA Diabetes mellitus (type 1 or 2, any treatment) 2 or 3 vessel disease (with/without LAD, with/without LM disease) PCI with 2nd / 3rd generation DES (any different to Cypher / Taxus / Endeavor) EXCLUSION CRITERIA Previous CABG Use of BMS Use of 1st gen DES Cardiogenic shock (index) PRIMARY ENDPOINT: TLF at 24 months (Cardiac death, ST, MI, TLR)

7 Statistical analysis STEP 1: Cox regression model to evaluate EES vs R-ZES effect on time to TLF. Clustered by patient. STEP 2: Competing event scenario. Fine and Gray model to evaluate EES vs R-ZES effect on time to TLF. STEP 3: Propensity score matching. Then, Cox regression model (with matched population). p value signficant < R for windows v

8 Results: Study flow-chart
1066 patients 2494 lesions EES 1302 lesions R-ZES 679 lesions Other DES 393 lesions Multiple DES 120 lesions (4.8%) EES 519 matched lesions R-ZES 519 matched lesions

9 Results: Baseline characteristics
Figure: Reason PCI instead of CABG

10 Results: Baseline characteristics

11 Results: TLF

12 Results: Stent thrombosis
HR %CI (0.10 – 0.90), p 0.032 1.3% R-ZES 0.4% EES Days from stent

13 Results (Fine & Gray): TLF
10.1% TLF R-ZES 8.3% TLF EES HR 0.81, 95%CI ( ), p 0.180 non-CV death R-ZES non-CV death EES

14 propensity score matching
Results: propensity score matching p = 0.12 Adjusted rates of TLF in the matched cohort (519 pairs) were not different.

15 Conclusions What is know?
2nd generation DES should be preferred in diabetes EES and R-ZES perform similarly in the general population What is new? EES and R-ZES provide comparable results in patients with DM and MVD. There is a signal (but very consistent with other studies) suggesting very low rate of ST with EES also in this population What is next? Large randomized clinical trials are warranted to find out the optimal DES in this high risk (and forgotten) population.


Download ppt "Jose M. de la Torre Hernández … in behalf of the 3D investigators"

Similar presentations


Ads by Google