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Analysis of the Bypass Angioplasty Revascularization Investigation Trial Using a Multistate Model of Clinical Outcomes
Current cardiovascular randomized trials typically use composite outcomes. We hypothesized that the Bypass Angioplasty Revascularization Investigation (BARI) outcomes and conclusions would differ using a multistate model relative to the intervention for the composite outcome of death (D) and nonfata...
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Published in: | The American journal of cardiology 2015-04, Vol.115 (8), p.1073-1079 |
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creator | Zhang, Xiao, PhD Li, Quanlin, MS Rogatko, Andre, PhD Tighiouart, Mourad, PhD Hardison, Regina M., MS Brooks, Maria Mori, PhD Kelsey, Sheryl F., PhD Kaul, Sanjay, MD Bairey Merz, C. Noel, MD |
description | Current cardiovascular randomized trials typically use composite outcomes. We hypothesized that the Bypass Angioplasty Revascularization Investigation (BARI) outcomes and conclusions would differ using a multistate model relative to the intervention for the composite outcome of death (D) and nonfatal Q-wave myocardial infarction (MI). We used a multistate model which uses transition paths to simultaneously assess multiple end points. Using the 10-year follow-up BARI data, we post hoc analyzed outcomes according to 3 transition paths: (1) from intervention to MI; (2) from intervention to death; and (3) from MI to death. Of 1,829 patients randomized to the intervention of percutaneous transluminal coronary angioplasty or coronary artery bypass grafting (CABG), 700 (38%) experienced the composite event D/MI which included 230 (13%) nonfatal MI and 470 (26%) death without antecedent nonfatal MI, whereas 79 of 230 (34%) experienced death after nonfatal MI. Outcomes of the 3 individual transition paths were analyzed by a multistate model. In contrast to standard survival analyses, after adjustment for baseline clinical covariates, outcomes after percutaneous transluminal coronary angioplasty or CABG were not significantly different for intervention to MI (p = 0.33) or intervention to death (p = 0.23), but MI to death favored CABG (p = 0.02). Deconstruction of the BARI data using a multistate model identifies a significant difference in individual transition-stage outcomes and therefore trial conclusions in contrast to the standard methods of survival analysis. These observations suggest multistate models should be considered in the design and analysis of randomized cardiovascular trials which use composite outcomes. |
doi_str_mv | 10.1016/j.amjcard.2015.01.543 |
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Noel, MD</creator><creatorcontrib>Zhang, Xiao, PhD ; Li, Quanlin, MS ; Rogatko, Andre, PhD ; Tighiouart, Mourad, PhD ; Hardison, Regina M., MS ; Brooks, Maria Mori, PhD ; Kelsey, Sheryl F., PhD ; Kaul, Sanjay, MD ; Bairey Merz, C. Noel, MD</creatorcontrib><description>Current cardiovascular randomized trials typically use composite outcomes. We hypothesized that the Bypass Angioplasty Revascularization Investigation (BARI) outcomes and conclusions would differ using a multistate model relative to the intervention for the composite outcome of death (D) and nonfatal Q-wave myocardial infarction (MI). We used a multistate model which uses transition paths to simultaneously assess multiple end points. Using the 10-year follow-up BARI data, we post hoc analyzed outcomes according to 3 transition paths: (1) from intervention to MI; (2) from intervention to death; and (3) from MI to death. Of 1,829 patients randomized to the intervention of percutaneous transluminal coronary angioplasty or coronary artery bypass grafting (CABG), 700 (38%) experienced the composite event D/MI which included 230 (13%) nonfatal MI and 470 (26%) death without antecedent nonfatal MI, whereas 79 of 230 (34%) experienced death after nonfatal MI. Outcomes of the 3 individual transition paths were analyzed by a multistate model. In contrast to standard survival analyses, after adjustment for baseline clinical covariates, outcomes after percutaneous transluminal coronary angioplasty or CABG were not significantly different for intervention to MI (p = 0.33) or intervention to death (p = 0.23), but MI to death favored CABG (p = 0.02). Deconstruction of the BARI data using a multistate model identifies a significant difference in individual transition-stage outcomes and therefore trial conclusions in contrast to the standard methods of survival analysis. These observations suggest multistate models should be considered in the design and analysis of randomized cardiovascular trials which use composite outcomes.</description><identifier>ISSN: 0002-9149</identifier><identifier>ISSN: 1879-1913</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2015.01.543</identifier><identifier>PMID: 25724784</identifier><identifier>CODEN: AJCDAG</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Angioplasty ; Angioplasty, Balloon, Coronary - adverse effects ; Angioplasty, Balloon, Coronary - methods ; Canada - epidemiology ; Cardiology ; Cardiovascular ; Cause of Death - trends ; Clinical outcomes ; Coronary Artery Disease - diagnosis ; Coronary Artery Disease - surgery ; Coronary vessels ; Electrocardiography ; Female ; Forecasting ; Heart attacks ; Humans ; Incidence ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Mortality ; Myocardial Infarction - epidemiology ; Myocardial Infarction - etiology ; Percutaneous Coronary Intervention - adverse effects ; Percutaneous Coronary Intervention - methods ; Risk Factors ; Stroke - epidemiology ; Stroke - etiology ; Survival Rate - trends ; Time Factors ; United States - epidemiology</subject><ispartof>The American journal of cardiology, 2015-04, Vol.115 (8), p.1073-1079</ispartof><rights>Elsevier Inc.</rights><rights>2015 Elsevier Inc.</rights><rights>Copyright © 2015 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Apr 15, 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-4d6dec0c981554b8b6e8fd0b98697a4c7c9635cc3f7eb662ac184babb5e807f43</citedby><cites>FETCH-LOGICAL-c495t-4d6dec0c981554b8b6e8fd0b98697a4c7c9635cc3f7eb662ac184babb5e807f43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25724784$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Xiao, PhD</creatorcontrib><creatorcontrib>Li, Quanlin, MS</creatorcontrib><creatorcontrib>Rogatko, Andre, PhD</creatorcontrib><creatorcontrib>Tighiouart, Mourad, PhD</creatorcontrib><creatorcontrib>Hardison, Regina M., MS</creatorcontrib><creatorcontrib>Brooks, Maria Mori, PhD</creatorcontrib><creatorcontrib>Kelsey, Sheryl F., PhD</creatorcontrib><creatorcontrib>Kaul, Sanjay, MD</creatorcontrib><creatorcontrib>Bairey Merz, C. Noel, MD</creatorcontrib><title>Analysis of the Bypass Angioplasty Revascularization Investigation Trial Using a Multistate Model of Clinical Outcomes</title><title>The American journal of cardiology</title><addtitle>Am J Cardiol</addtitle><description>Current cardiovascular randomized trials typically use composite outcomes. We hypothesized that the Bypass Angioplasty Revascularization Investigation (BARI) outcomes and conclusions would differ using a multistate model relative to the intervention for the composite outcome of death (D) and nonfatal Q-wave myocardial infarction (MI). We used a multistate model which uses transition paths to simultaneously assess multiple end points. Using the 10-year follow-up BARI data, we post hoc analyzed outcomes according to 3 transition paths: (1) from intervention to MI; (2) from intervention to death; and (3) from MI to death. Of 1,829 patients randomized to the intervention of percutaneous transluminal coronary angioplasty or coronary artery bypass grafting (CABG), 700 (38%) experienced the composite event D/MI which included 230 (13%) nonfatal MI and 470 (26%) death without antecedent nonfatal MI, whereas 79 of 230 (34%) experienced death after nonfatal MI. Outcomes of the 3 individual transition paths were analyzed by a multistate model. In contrast to standard survival analyses, after adjustment for baseline clinical covariates, outcomes after percutaneous transluminal coronary angioplasty or CABG were not significantly different for intervention to MI (p = 0.33) or intervention to death (p = 0.23), but MI to death favored CABG (p = 0.02). Deconstruction of the BARI data using a multistate model identifies a significant difference in individual transition-stage outcomes and therefore trial conclusions in contrast to the standard methods of survival analysis. These observations suggest multistate models should be considered in the design and analysis of randomized cardiovascular trials which use composite outcomes.</description><subject>Angioplasty</subject><subject>Angioplasty, Balloon, Coronary - adverse effects</subject><subject>Angioplasty, Balloon, Coronary - methods</subject><subject>Canada - epidemiology</subject><subject>Cardiology</subject><subject>Cardiovascular</subject><subject>Cause of Death - trends</subject><subject>Clinical outcomes</subject><subject>Coronary Artery Disease - diagnosis</subject><subject>Coronary Artery Disease - surgery</subject><subject>Coronary vessels</subject><subject>Electrocardiography</subject><subject>Female</subject><subject>Forecasting</subject><subject>Heart attacks</subject><subject>Humans</subject><subject>Incidence</subject><subject>Kaplan-Meier Estimate</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Myocardial Infarction - epidemiology</subject><subject>Myocardial Infarction - etiology</subject><subject>Percutaneous Coronary Intervention - adverse effects</subject><subject>Percutaneous Coronary Intervention - methods</subject><subject>Risk Factors</subject><subject>Stroke - epidemiology</subject><subject>Stroke - etiology</subject><subject>Survival Rate - trends</subject><subject>Time Factors</subject><subject>United States - epidemiology</subject><issn>0002-9149</issn><issn>1879-1913</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFkk9v1DAQxS0EotvCRwBF4sIlwU5sJ76AlhV_KrWqBO3ZcpzJ4uCNt7azUvj0ddgFpF44WSP95s34vUHoFcEFwYS_Gwq1G7TyXVFiwgpMCkarJ2hFmlrkRJDqKVphjMtcECrO0HkIQyoJYfw5OitZXdK6oSt0WI_KzsGEzPVZ_AHZx3mvQsjW49a4vVUhztk3OKigJ6u8-aWicWN2OR4gRLM9VrfeKJvdBTNuM5VdTzaaEFWE7Np1YBfhjTWj0Qm6maJ2Owgv0LNe2QAvT-8Fuvv86XbzNb-6-XK5WV_lmgoWc9rxDjTWoiGM0bZpOTR9h1vRcFErqmsteMW0rvoaWs5LpUlDW9W2DBpc97S6QG-Punvv7qe0s9yZoMFaNYKbgiSc14LVjIqEvnmEDm7yyZ3fVBpTctYkih0p7V0IHnq592an_CwJlkswcpCnYOQSjMREpmBS3-uT-tTuoPvb9SeJBHw4ApDsOBjwMmgDo4bOeNBRds78d8T7Rwr6ZPtPmCH8-40MpcTy-3Idy3EQhjGv0goPMia31w</recordid><startdate>20150415</startdate><enddate>20150415</enddate><creator>Zhang, Xiao, PhD</creator><creator>Li, Quanlin, MS</creator><creator>Rogatko, Andre, PhD</creator><creator>Tighiouart, Mourad, PhD</creator><creator>Hardison, Regina M., MS</creator><creator>Brooks, Maria Mori, PhD</creator><creator>Kelsey, Sheryl F., PhD</creator><creator>Kaul, Sanjay, MD</creator><creator>Bairey Merz, C. Noel, MD</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20150415</creationdate><title>Analysis of the Bypass Angioplasty Revascularization Investigation Trial Using a Multistate Model of Clinical Outcomes</title><author>Zhang, Xiao, PhD ; Li, Quanlin, MS ; Rogatko, Andre, PhD ; Tighiouart, Mourad, PhD ; Hardison, Regina M., MS ; Brooks, Maria Mori, PhD ; Kelsey, Sheryl F., PhD ; Kaul, Sanjay, MD ; Bairey Merz, C. Noel, MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-4d6dec0c981554b8b6e8fd0b98697a4c7c9635cc3f7eb662ac184babb5e807f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Angioplasty</topic><topic>Angioplasty, Balloon, Coronary - adverse effects</topic><topic>Angioplasty, Balloon, Coronary - methods</topic><topic>Canada - epidemiology</topic><topic>Cardiology</topic><topic>Cardiovascular</topic><topic>Cause of Death - trends</topic><topic>Clinical outcomes</topic><topic>Coronary Artery Disease - diagnosis</topic><topic>Coronary Artery Disease - surgery</topic><topic>Coronary vessels</topic><topic>Electrocardiography</topic><topic>Female</topic><topic>Forecasting</topic><topic>Heart attacks</topic><topic>Humans</topic><topic>Incidence</topic><topic>Kaplan-Meier Estimate</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Myocardial Infarction - epidemiology</topic><topic>Myocardial Infarction - etiology</topic><topic>Percutaneous Coronary Intervention - adverse effects</topic><topic>Percutaneous Coronary Intervention - methods</topic><topic>Risk Factors</topic><topic>Stroke - epidemiology</topic><topic>Stroke - etiology</topic><topic>Survival Rate - trends</topic><topic>Time Factors</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xiao, PhD</creatorcontrib><creatorcontrib>Li, Quanlin, MS</creatorcontrib><creatorcontrib>Rogatko, Andre, PhD</creatorcontrib><creatorcontrib>Tighiouart, Mourad, PhD</creatorcontrib><creatorcontrib>Hardison, Regina M., MS</creatorcontrib><creatorcontrib>Brooks, Maria Mori, PhD</creatorcontrib><creatorcontrib>Kelsey, Sheryl F., PhD</creatorcontrib><creatorcontrib>Kaul, Sanjay, MD</creatorcontrib><creatorcontrib>Bairey Merz, C. 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Noel, MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of the Bypass Angioplasty Revascularization Investigation Trial Using a Multistate Model of Clinical Outcomes</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2015-04-15</date><risdate>2015</risdate><volume>115</volume><issue>8</issue><spage>1073</spage><epage>1079</epage><pages>1073-1079</pages><issn>0002-9149</issn><issn>1879-1913</issn><eissn>1879-1913</eissn><coden>AJCDAG</coden><abstract>Current cardiovascular randomized trials typically use composite outcomes. We hypothesized that the Bypass Angioplasty Revascularization Investigation (BARI) outcomes and conclusions would differ using a multistate model relative to the intervention for the composite outcome of death (D) and nonfatal Q-wave myocardial infarction (MI). We used a multistate model which uses transition paths to simultaneously assess multiple end points. Using the 10-year follow-up BARI data, we post hoc analyzed outcomes according to 3 transition paths: (1) from intervention to MI; (2) from intervention to death; and (3) from MI to death. Of 1,829 patients randomized to the intervention of percutaneous transluminal coronary angioplasty or coronary artery bypass grafting (CABG), 700 (38%) experienced the composite event D/MI which included 230 (13%) nonfatal MI and 470 (26%) death without antecedent nonfatal MI, whereas 79 of 230 (34%) experienced death after nonfatal MI. Outcomes of the 3 individual transition paths were analyzed by a multistate model. In contrast to standard survival analyses, after adjustment for baseline clinical covariates, outcomes after percutaneous transluminal coronary angioplasty or CABG were not significantly different for intervention to MI (p = 0.33) or intervention to death (p = 0.23), but MI to death favored CABG (p = 0.02). Deconstruction of the BARI data using a multistate model identifies a significant difference in individual transition-stage outcomes and therefore trial conclusions in contrast to the standard methods of survival analysis. These observations suggest multistate models should be considered in the design and analysis of randomized cardiovascular trials which use composite outcomes.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25724784</pmid><doi>10.1016/j.amjcard.2015.01.543</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Angioplasty Angioplasty, Balloon, Coronary - adverse effects Angioplasty, Balloon, Coronary - methods Canada - epidemiology Cardiology Cardiovascular Cause of Death - trends Clinical outcomes Coronary Artery Disease - diagnosis Coronary Artery Disease - surgery Coronary vessels Electrocardiography Female Forecasting Heart attacks Humans Incidence Kaplan-Meier Estimate Male Middle Aged Mortality Myocardial Infarction - epidemiology Myocardial Infarction - etiology Percutaneous Coronary Intervention - adverse effects Percutaneous Coronary Intervention - methods Risk Factors Stroke - epidemiology Stroke - etiology Survival Rate - trends Time Factors United States - epidemiology |
title | Analysis of the Bypass Angioplasty Revascularization Investigation Trial Using a Multistate Model of Clinical Outcomes |
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