Heidi M Crane, Robin M Nance, Stephanie A Ruderman, Lydia N Drumright, L Sarah Mixson, Susan R Heckbert, Matthew J Feinstein, Matthew J Budoff, Laura Bamford, Edward Cachay, Sonia Napravnik, Richard D Moore, Jeanne Keruly, Amanda L Willig, Greer A Burkholder, Andrew Hahn, Jimmy Ma, Rob Fredericksen, Michael S Saag, Geetanjali Chander, Mari M Kitahata, Kristina Crothers, Kenneth H Mayer, Conall O'Cleirigh, Karen Cropsey, Bridget M Whitney, Joseph A C Delaney
{"title":"美国艾滋病病毒感染者中吸烟与 1 型和 2 型心肌梗死的关系。","authors":"Heidi M Crane, Robin M Nance, Stephanie A Ruderman, Lydia N Drumright, L Sarah Mixson, Susan R Heckbert, Matthew J Feinstein, Matthew J Budoff, Laura Bamford, Edward Cachay, Sonia Napravnik, Richard D Moore, Jeanne Keruly, Amanda L Willig, Greer A Burkholder, Andrew Hahn, Jimmy Ma, Rob Fredericksen, Michael S Saag, Geetanjali Chander, Mari M Kitahata, Kristina Crothers, Kenneth H Mayer, Conall O'Cleirigh, Karen Cropsey, Bridget M Whitney, Joseph A C Delaney","doi":"10.1097/JNC.0000000000000492","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Smoking is a myocardial infarction (MI) risk factor among people with HIV (PWH). Questions persist regarding the role of smoking behaviors and measurements (e.g., intensity, duration) on MI risk. We used Cox proportional hazards regression to compare the association of smoking parameterization with incidents of type 1 and type 2 MI and whether smoking intensity or duration improves MI risk prediction among PWH. Among 11,637 PWH, 37% reported currently smoking, and there were 346 MIs. Current smoking was associated with type 1 (84% increased risk) but not type 2 MI in adjusted analyses. The type 1 MI model with pack years had the best goodness of fit compared with other smoking parameterizations. Ever or never parameterization and smoking diagnosis data had significantly poorer model fit. These results highlight the importance of differentiating MI types and performing patient-based smoking assessments to improve HIV care and research rather than relying on smoking status from diagnoses.</p>","PeriodicalId":50263,"journal":{"name":"Janac-Journal of the Association of Nurses in Aids Care","volume":" ","pages":"507-518"},"PeriodicalIF":1.6000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smoking and Type 1 Versus Type 2 Myocardial Infarction Among People With HIV in the United States: Results from the Center for AIDS Research Network Integrated Clinical Systems Cohort.\",\"authors\":\"Heidi M Crane, Robin M Nance, Stephanie A Ruderman, Lydia N Drumright, L Sarah Mixson, Susan R Heckbert, Matthew J Feinstein, Matthew J Budoff, Laura Bamford, Edward Cachay, Sonia Napravnik, Richard D Moore, Jeanne Keruly, Amanda L Willig, Greer A Burkholder, Andrew Hahn, Jimmy Ma, Rob Fredericksen, Michael S Saag, Geetanjali Chander, Mari M Kitahata, Kristina Crothers, Kenneth H Mayer, Conall O'Cleirigh, Karen Cropsey, Bridget M Whitney, Joseph A C Delaney\",\"doi\":\"10.1097/JNC.0000000000000492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Abstract: </strong>Smoking is a myocardial infarction (MI) risk factor among people with HIV (PWH). Questions persist regarding the role of smoking behaviors and measurements (e.g., intensity, duration) on MI risk. We used Cox proportional hazards regression to compare the association of smoking parameterization with incidents of type 1 and type 2 MI and whether smoking intensity or duration improves MI risk prediction among PWH. Among 11,637 PWH, 37% reported currently smoking, and there were 346 MIs. Current smoking was associated with type 1 (84% increased risk) but not type 2 MI in adjusted analyses. The type 1 MI model with pack years had the best goodness of fit compared with other smoking parameterizations. Ever or never parameterization and smoking diagnosis data had significantly poorer model fit. These results highlight the importance of differentiating MI types and performing patient-based smoking assessments to improve HIV care and research rather than relying on smoking status from diagnoses.</p>\",\"PeriodicalId\":50263,\"journal\":{\"name\":\"Janac-Journal of the Association of Nurses in Aids Care\",\"volume\":\" \",\"pages\":\"507-518\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Janac-Journal of the Association of Nurses in Aids Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/JNC.0000000000000492\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Janac-Journal of the Association of Nurses in Aids Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/JNC.0000000000000492","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Smoking and Type 1 Versus Type 2 Myocardial Infarction Among People With HIV in the United States: Results from the Center for AIDS Research Network Integrated Clinical Systems Cohort.
Abstract: Smoking is a myocardial infarction (MI) risk factor among people with HIV (PWH). Questions persist regarding the role of smoking behaviors and measurements (e.g., intensity, duration) on MI risk. We used Cox proportional hazards regression to compare the association of smoking parameterization with incidents of type 1 and type 2 MI and whether smoking intensity or duration improves MI risk prediction among PWH. Among 11,637 PWH, 37% reported currently smoking, and there were 346 MIs. Current smoking was associated with type 1 (84% increased risk) but not type 2 MI in adjusted analyses. The type 1 MI model with pack years had the best goodness of fit compared with other smoking parameterizations. Ever or never parameterization and smoking diagnosis data had significantly poorer model fit. These results highlight the importance of differentiating MI types and performing patient-based smoking assessments to improve HIV care and research rather than relying on smoking status from diagnoses.
期刊介绍:
The Journal of the Association of Nurses in AIDS Care (JANAC) is a peer-reviewed, international nursing journal that covers the full spectrum of the global HIV epidemic, focusing on prevention, evidence-based care management, interprofessional clinical care, research, advocacy, policy, education, social determinants of health, epidemiology, and program development. JANAC functions according to the highest standards of ethical publishing practices and offers innovative publication options, including Open Access and prepublication article posting, where the journal can post articles before they are published with an issue.