Jaycie Koh MBBS, Ayman Mohamed MBBS, Gwyneth Kong MBBS, Esther Wong MBBS, Yiming Chen MBBS, Vickram Vijay Anand MBBS, Bryan Chong MBBS, Yip Han Chin MBBS, Jiong-Wei Wang PhD, Chin Meng Khoo MBBS, Siew Pang Chan PhD, Mark Muthiah MBBS, Georgios K. Dimitriadis PhD, Mark Yan-Yee Chan PhD, Poay-Huan Loh MBChB, Nicholas W. S. Chew MBChB
{"title":"基于急性心肌梗死后体重表型的代谢功能障碍相关脂肪肝的长期全因死亡率:一项回顾性队列研究","authors":"Jaycie Koh MBBS, Ayman Mohamed MBBS, Gwyneth Kong MBBS, Esther Wong MBBS, Yiming Chen MBBS, Vickram Vijay Anand MBBS, Bryan Chong MBBS, Yip Han Chin MBBS, Jiong-Wei Wang PhD, Chin Meng Khoo MBBS, Siew Pang Chan PhD, Mark Muthiah MBBS, Georgios K. Dimitriadis PhD, Mark Yan-Yee Chan PhD, Poay-Huan Loh MBChB, Nicholas W. S. Chew MBChB","doi":"10.1111/dom.16062","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>Metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity increases risk of cardiovascular disease. This cohort study examines the prognostic value of MASLD, across body weight categories, in a secondary preventative acute myocardial infarction (AMI) cohort.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Patients with AMI were stratified into four phenotypes—obesity MASLD, non-obesity MASLD, obesity non-MASLD, non-obesity non-MASLD. The primary outcome was all-cause mortality. Cox regression analysis was performed to investigate determinants of long-term all-cause mortality.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Of 5702 patients, majority were in the non-obesity non-MASLD group (66.7%), followed by obesity MASLD (16.1%), non-obesity MASLD (11.2%) and non-obesity MASLD (6.0%). Across the four phenotypes, obesity MASLD had the highest cardiometabolic burden, followed by non-obesity MASLD. Non-obesity MASLD had the highest risk of heart failure (<i>p</i> = 0.034), cardiogenic shock (<i>p</i> < 0.001), and all-cause long-term mortality (<i>p</i> = 0.019). The non-obesity MASLD (HR 1.400, 95%CI 1.077–1.820, <i>p</i> = 0.012) and obesity MASLD phenotypes (HR 1.222, 95%CI 1.005–1.485, <i>p</i> = 0.044) were independently associated with long-term all-cause mortality.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Obesity and non-obesity MASLD phenotypes were predictors of all-cause mortality following AMI, with an even larger magnitude of mortality risk in the non-obesity MASLD group. The recognition of MASLD and its body weight phenotypes will be beneficial in the prognostication following AMI.</p>\n </section>\n </div>","PeriodicalId":158,"journal":{"name":"Diabetes, Obesity & Metabolism","volume":"27 2","pages":"683-696"},"PeriodicalIF":5.4000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-term all-cause mortality of metabolic-dysfunction associated steatotic liver disease based on body weight phenotypes following acute myocardial infarction: A retrospective cohort study\",\"authors\":\"Jaycie Koh MBBS, Ayman Mohamed MBBS, Gwyneth Kong MBBS, Esther Wong MBBS, Yiming Chen MBBS, Vickram Vijay Anand MBBS, Bryan Chong MBBS, Yip Han Chin MBBS, Jiong-Wei Wang PhD, Chin Meng Khoo MBBS, Siew Pang Chan PhD, Mark Muthiah MBBS, Georgios K. Dimitriadis PhD, Mark Yan-Yee Chan PhD, Poay-Huan Loh MBChB, Nicholas W. S. Chew MBChB\",\"doi\":\"10.1111/dom.16062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity increases risk of cardiovascular disease. This cohort study examines the prognostic value of MASLD, across body weight categories, in a secondary preventative acute myocardial infarction (AMI) cohort.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Patients with AMI were stratified into four phenotypes—obesity MASLD, non-obesity MASLD, obesity non-MASLD, non-obesity non-MASLD. The primary outcome was all-cause mortality. Cox regression analysis was performed to investigate determinants of long-term all-cause mortality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Of 5702 patients, majority were in the non-obesity non-MASLD group (66.7%), followed by obesity MASLD (16.1%), non-obesity MASLD (11.2%) and non-obesity MASLD (6.0%). Across the four phenotypes, obesity MASLD had the highest cardiometabolic burden, followed by non-obesity MASLD. Non-obesity MASLD had the highest risk of heart failure (<i>p</i> = 0.034), cardiogenic shock (<i>p</i> < 0.001), and all-cause long-term mortality (<i>p</i> = 0.019). The non-obesity MASLD (HR 1.400, 95%CI 1.077–1.820, <i>p</i> = 0.012) and obesity MASLD phenotypes (HR 1.222, 95%CI 1.005–1.485, <i>p</i> = 0.044) were independently associated with long-term all-cause mortality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Obesity and non-obesity MASLD phenotypes were predictors of all-cause mortality following AMI, with an even larger magnitude of mortality risk in the non-obesity MASLD group. The recognition of MASLD and its body weight phenotypes will be beneficial in the prognostication following AMI.</p>\\n </section>\\n </div>\",\"PeriodicalId\":158,\"journal\":{\"name\":\"Diabetes, Obesity & Metabolism\",\"volume\":\"27 2\",\"pages\":\"683-696\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes, Obesity & Metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/dom.16062\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes, Obesity & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/dom.16062","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Long-term all-cause mortality of metabolic-dysfunction associated steatotic liver disease based on body weight phenotypes following acute myocardial infarction: A retrospective cohort study
Objective
Metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity increases risk of cardiovascular disease. This cohort study examines the prognostic value of MASLD, across body weight categories, in a secondary preventative acute myocardial infarction (AMI) cohort.
Methods
Patients with AMI were stratified into four phenotypes—obesity MASLD, non-obesity MASLD, obesity non-MASLD, non-obesity non-MASLD. The primary outcome was all-cause mortality. Cox regression analysis was performed to investigate determinants of long-term all-cause mortality.
Results
Of 5702 patients, majority were in the non-obesity non-MASLD group (66.7%), followed by obesity MASLD (16.1%), non-obesity MASLD (11.2%) and non-obesity MASLD (6.0%). Across the four phenotypes, obesity MASLD had the highest cardiometabolic burden, followed by non-obesity MASLD. Non-obesity MASLD had the highest risk of heart failure (p = 0.034), cardiogenic shock (p < 0.001), and all-cause long-term mortality (p = 0.019). The non-obesity MASLD (HR 1.400, 95%CI 1.077–1.820, p = 0.012) and obesity MASLD phenotypes (HR 1.222, 95%CI 1.005–1.485, p = 0.044) were independently associated with long-term all-cause mortality.
Conclusions
Obesity and non-obesity MASLD phenotypes were predictors of all-cause mortality following AMI, with an even larger magnitude of mortality risk in the non-obesity MASLD group. The recognition of MASLD and its body weight phenotypes will be beneficial in the prognostication following AMI.
期刊介绍:
Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.