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Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores

BACKGROUND: Syntax 1 and recently Syntax 2 (SS2) scores are validated risk prediction models in coronary disease. OBJECTIVES: To find out the long term outcomes following stenting for unprotected left main bifurcation disease (LMD) and to validate and compare the performance of the SYNTAX scores 1 a...

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Autores principales: Pillai, Ajith Ananthakrishna, Gousy. V, Saranya, Kottyath, Harichandrakumar, Satheesh, Santhosh, Selvaraj, Raja, Jayaraman, Balachander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6034007/
https://www.ncbi.nlm.nih.gov/pubmed/29961456
http://dx.doi.org/10.1016/j.ihj.2017.08.014
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author Pillai, Ajith Ananthakrishna
Gousy. V, Saranya
Kottyath, Harichandrakumar
Satheesh, Santhosh
Selvaraj, Raja
Jayaraman, Balachander
author_facet Pillai, Ajith Ananthakrishna
Gousy. V, Saranya
Kottyath, Harichandrakumar
Satheesh, Santhosh
Selvaraj, Raja
Jayaraman, Balachander
author_sort Pillai, Ajith Ananthakrishna
collection PubMed
description BACKGROUND: Syntax 1 and recently Syntax 2 (SS2) scores are validated risk prediction models in coronary disease. OBJECTIVES: To find out the long term outcomes following stenting for unprotected left main bifurcation disease (LMD) and to validate and compare the performance of the SYNTAX scores 1 and 2 (SS1 and SS2 PCI) for predicting major adverse cardiac events (MACE) in Indian population. METHODS: Single-center, retrospective, observational study involving patients who underwent percutaneous coronary intervention (PCI) with at least one stent implanted for the LMD. Discrimination and calibration models were assessed by ROC curve and the Hosmer-Lemeshow test. RESULTS: Data of 103 patients were analyzed. The mean SS1 and SS2 scores were 27.9 and 30.7 and MACE was 16.5% at 4 years. The target lesion revascularization (TLR) rate at 4 years was 11(10.7%). There were 4 deaths (3.8%). The mean left ventricular ejection fraction (LVEF) was the only variable in SS2, which predicted cardiac events. ROC curve analysis showed both models to be accurate in predicting TLR and mortality following LM PCI. SS2 score showed a better risk prediction than SSI with AUC for TLR (SSI 0.560 and SS2PCI 0.625) and AUC for mortality (SS1 0.674 and SS2PCI 0.833). Hosmer-Lemeshow test validated the accuracy of both the risk models in predicting the events. CONCLUSIONS: Both risk models were applicable for Indian patients. The SS2 score was a better predictor for mortality and TLR. In the SS2 score, the LVEF was the most useful predictor of events after LM PCI.
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spelling pubmed-60340072019-05-01 Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores Pillai, Ajith Ananthakrishna Gousy. V, Saranya Kottyath, Harichandrakumar Satheesh, Santhosh Selvaraj, Raja Jayaraman, Balachander Indian Heart J Interventional Cardiology BACKGROUND: Syntax 1 and recently Syntax 2 (SS2) scores are validated risk prediction models in coronary disease. OBJECTIVES: To find out the long term outcomes following stenting for unprotected left main bifurcation disease (LMD) and to validate and compare the performance of the SYNTAX scores 1 and 2 (SS1 and SS2 PCI) for predicting major adverse cardiac events (MACE) in Indian population. METHODS: Single-center, retrospective, observational study involving patients who underwent percutaneous coronary intervention (PCI) with at least one stent implanted for the LMD. Discrimination and calibration models were assessed by ROC curve and the Hosmer-Lemeshow test. RESULTS: Data of 103 patients were analyzed. The mean SS1 and SS2 scores were 27.9 and 30.7 and MACE was 16.5% at 4 years. The target lesion revascularization (TLR) rate at 4 years was 11(10.7%). There were 4 deaths (3.8%). The mean left ventricular ejection fraction (LVEF) was the only variable in SS2, which predicted cardiac events. ROC curve analysis showed both models to be accurate in predicting TLR and mortality following LM PCI. SS2 score showed a better risk prediction than SSI with AUC for TLR (SSI 0.560 and SS2PCI 0.625) and AUC for mortality (SS1 0.674 and SS2PCI 0.833). Hosmer-Lemeshow test validated the accuracy of both the risk models in predicting the events. CONCLUSIONS: Both risk models were applicable for Indian patients. The SS2 score was a better predictor for mortality and TLR. In the SS2 score, the LVEF was the most useful predictor of events after LM PCI. Elsevier 2018 2017-08-26 /pmc/articles/PMC6034007/ /pubmed/29961456 http://dx.doi.org/10.1016/j.ihj.2017.08.014 Text en © 2017 Published by Elsevier B.V. on behalf of Cardiological Society of India. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Interventional Cardiology
Pillai, Ajith Ananthakrishna
Gousy. V, Saranya
Kottyath, Harichandrakumar
Satheesh, Santhosh
Selvaraj, Raja
Jayaraman, Balachander
Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores
title Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores
title_full Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores
title_fullStr Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores
title_full_unstemmed Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores
title_short Long-term outcomes following left main bifurcation stenting in Indian population—Analysis based on SYNTAX I and II scores
title_sort long-term outcomes following left main bifurcation stenting in indian population—analysis based on syntax i and ii scores
topic Interventional Cardiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6034007/
https://www.ncbi.nlm.nih.gov/pubmed/29961456
http://dx.doi.org/10.1016/j.ihj.2017.08.014
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