Evelien E. Quint , Yi Liu , Omid Shafaat , Nidhi Ghildayal , Helen Crosby , Arun Kamireddy , Robert A. Pol , Babak J. Orandi , Dorry L. Segev , Clifford R. Weiss , Mara A. McAdams-DeMarco
{"title":"肾移植候选者的身体成分和等待名单死亡率的腹部CT测量。","authors":"Evelien E. Quint , Yi Liu , Omid Shafaat , Nidhi Ghildayal , Helen Crosby , Arun Kamireddy , Robert A. Pol , Babak J. Orandi , Dorry L. Segev , Clifford R. Weiss , Mara A. McAdams-DeMarco","doi":"10.1016/j.ajt.2023.11.002","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Body mass index<span> is often used to determine kidney transplant<span> (KT) candidacy. However, this measure of body composition (BC) has several limitations, including the inability to accurately capture dry weight. Objective computed tomography (CT)-based measures may improve pre-KT </span></span></span>risk stratification<span><span> and capture physiological aging more accurately. We quantified the association between CT-based BC measurements and waitlist mortality in a retrospective study of 828 KT candidates (2010-2022) with clinically obtained CT scans using adjusted competing risk regression. In total, 42.5% of candidates had myopenia, 11.4% had myopenic obesity (MO), 68.8% had myosteatosis, 24.8% had sarcopenia (probable = 11.2%, confirmed = 10.5%, and severe = 3.1%), and 8.6% had </span>sarcopenic obesity. Myopenia, MO, and sarcopenic obesity were not associated with mortality. Patients with myosteatosis (adjusted subhazard ratio [aSHR] = 1.62, 95% confidence interval [CI]: 1.07-2.45; after confounder adjustment) or sarcopenia (probable: aSHR = 1.78, 95% CI: 1.10-2.88; confirmed: aSHR = 1.68, 95% CI: 1.01-2.82; and severe: aSHR = 2.51, 95% CI: 1.12-5.66; after full adjustment) were at increased risk of mortality. When stratified by age, MO (aSHR = 2.21, 95% CI: 1.28-3.83; </span></span><em>P</em> interaction = .005) and myosteatosis (aSHR = 1.95, 95% CI: 1.18-3.21; <em>P</em> interaction = .038) were associated with elevated risk only among candidates <65 years. MO was only associated with waitlist mortality among frail candidates (adjusted hazard ratio = 2.54, 95% CI: 1.28-5.05; <em>P</em> interaction = .021). Transplant centers should consider using BC metrics in addition to body mass index when a CT scan is available to improve pre-KT risk stratification at KT evaluation.</p></div>","PeriodicalId":123,"journal":{"name":"American Journal of Transplantation","volume":"24 4","pages":"Pages 591-605"},"PeriodicalIF":8.9000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abdominal computed tomography measurements of body composition and waitlist mortality in kidney transplant candidates\",\"authors\":\"Evelien E. Quint , Yi Liu , Omid Shafaat , Nidhi Ghildayal , Helen Crosby , Arun Kamireddy , Robert A. Pol , Babak J. Orandi , Dorry L. Segev , Clifford R. Weiss , Mara A. McAdams-DeMarco\",\"doi\":\"10.1016/j.ajt.2023.11.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span>Body mass index<span> is often used to determine kidney transplant<span> (KT) candidacy. However, this measure of body composition (BC) has several limitations, including the inability to accurately capture dry weight. Objective computed tomography (CT)-based measures may improve pre-KT </span></span></span>risk stratification<span><span> and capture physiological aging more accurately. We quantified the association between CT-based BC measurements and waitlist mortality in a retrospective study of 828 KT candidates (2010-2022) with clinically obtained CT scans using adjusted competing risk regression. In total, 42.5% of candidates had myopenia, 11.4% had myopenic obesity (MO), 68.8% had myosteatosis, 24.8% had sarcopenia (probable = 11.2%, confirmed = 10.5%, and severe = 3.1%), and 8.6% had </span>sarcopenic obesity. Myopenia, MO, and sarcopenic obesity were not associated with mortality. Patients with myosteatosis (adjusted subhazard ratio [aSHR] = 1.62, 95% confidence interval [CI]: 1.07-2.45; after confounder adjustment) or sarcopenia (probable: aSHR = 1.78, 95% CI: 1.10-2.88; confirmed: aSHR = 1.68, 95% CI: 1.01-2.82; and severe: aSHR = 2.51, 95% CI: 1.12-5.66; after full adjustment) were at increased risk of mortality. When stratified by age, MO (aSHR = 2.21, 95% CI: 1.28-3.83; </span></span><em>P</em> interaction = .005) and myosteatosis (aSHR = 1.95, 95% CI: 1.18-3.21; <em>P</em> interaction = .038) were associated with elevated risk only among candidates <65 years. MO was only associated with waitlist mortality among frail candidates (adjusted hazard ratio = 2.54, 95% CI: 1.28-5.05; <em>P</em> interaction = .021). Transplant centers should consider using BC metrics in addition to body mass index when a CT scan is available to improve pre-KT risk stratification at KT evaluation.</p></div>\",\"PeriodicalId\":123,\"journal\":{\"name\":\"American Journal of Transplantation\",\"volume\":\"24 4\",\"pages\":\"Pages 591-605\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2023-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Transplantation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1600613523008572\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Transplantation","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1600613523008572","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}
Abdominal computed tomography measurements of body composition and waitlist mortality in kidney transplant candidates
Body mass index is often used to determine kidney transplant (KT) candidacy. However, this measure of body composition (BC) has several limitations, including the inability to accurately capture dry weight. Objective computed tomography (CT)-based measures may improve pre-KT risk stratification and capture physiological aging more accurately. We quantified the association between CT-based BC measurements and waitlist mortality in a retrospective study of 828 KT candidates (2010-2022) with clinically obtained CT scans using adjusted competing risk regression. In total, 42.5% of candidates had myopenia, 11.4% had myopenic obesity (MO), 68.8% had myosteatosis, 24.8% had sarcopenia (probable = 11.2%, confirmed = 10.5%, and severe = 3.1%), and 8.6% had sarcopenic obesity. Myopenia, MO, and sarcopenic obesity were not associated with mortality. Patients with myosteatosis (adjusted subhazard ratio [aSHR] = 1.62, 95% confidence interval [CI]: 1.07-2.45; after confounder adjustment) or sarcopenia (probable: aSHR = 1.78, 95% CI: 1.10-2.88; confirmed: aSHR = 1.68, 95% CI: 1.01-2.82; and severe: aSHR = 2.51, 95% CI: 1.12-5.66; after full adjustment) were at increased risk of mortality. When stratified by age, MO (aSHR = 2.21, 95% CI: 1.28-3.83; P interaction = .005) and myosteatosis (aSHR = 1.95, 95% CI: 1.18-3.21; P interaction = .038) were associated with elevated risk only among candidates <65 years. MO was only associated with waitlist mortality among frail candidates (adjusted hazard ratio = 2.54, 95% CI: 1.28-5.05; P interaction = .021). Transplant centers should consider using BC metrics in addition to body mass index when a CT scan is available to improve pre-KT risk stratification at KT evaluation.
期刊介绍:
The American Journal of Transplantation is a leading journal in the field of transplantation. It serves as a forum for debate and reassessment, an agent of change, and a major platform for promoting understanding, improving results, and advancing science. Published monthly, it provides an essential resource for researchers and clinicians worldwide.
The journal publishes original articles, case reports, invited reviews, letters to the editor, critical reviews, news features, consensus documents, and guidelines over 12 issues a year. It covers all major subject areas in transplantation, including thoracic (heart, lung), abdominal (kidney, liver, pancreas, islets), tissue and stem cell transplantation, organ and tissue donation and preservation, tissue injury, repair, inflammation, and aging, histocompatibility, drugs and pharmacology, graft survival, and prevention of graft dysfunction and failure. It also explores ethical and social issues in the field.