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Quint EE, Liu Y, Shafaat O, Ghildayal N, Crosby H, Kamireddy A, Pol RA, Orandi BJ, Segev DL, Weiss CR, McAdams-DeMarco MA. Abdominal computed tomography measurements of body composition and waitlist mortality in kidney transplant candidates. Am J Transplant 2024; 24:591-605. [PMID: 37949413 PMCID: PMC10982050 DOI: 10.1016/j.ajt.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/10/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
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.
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Affiliation(s)
- Evelien E Quint
- Division of Transplant Surgery, Department of Surgery, University Medical Center Groningen, Groningen, The Netherlands
| | - Yi Liu
- Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Omid Shafaat
- Division of Vascular and Interventional Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Nidhi Ghildayal
- Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Helen Crosby
- Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Arun Kamireddy
- Division of Vascular and Interventional Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Robert A Pol
- Division of Transplant Surgery, Department of Surgery, University Medical Center Groningen, Groningen, The Netherlands
| | - Babak J Orandi
- Division of Endocrinology, Joan & Sanford Weill Medical College of Cornell University, New York, NY, USA
| | - Dorry L Segev
- Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Clifford R Weiss
- Division of Vascular and Interventional Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Mara A McAdams-DeMarco
- Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
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Abstract
Hintergrund Durch strukturierte (Langzeit‑)Nachsorge nach Nierentransplantation und Nierenlebendspende können Risikofaktoren für Transplantatüberleben und Nierenfunktion und für die physische wie psychische Morbidität unterschiedlichster Genese detektiert und gebessert werden. Neben den klassischen kardiovaskulären Risikofaktoren zählen hierzu eine mangelnde Adhärenz des Patienten, Wissensdefizite im Hinblick auf Verhaltensregeln nach Transplantation und Lebendspende, Bewegungsmangel, mangelnde Coping-Strategien oder auch arbeitsmedizinische und sozialrechtliche Belange. Ziel der Arbeit Es soll dargestellt werden, wie Rehabilitationsmaßnahmen die Nachsorge nach Nierentransplantation und Lebendspende optimieren können, worauf sich der Rehabilitationsbedarf begründet, welche Ziele verfolgt werden und welche multidisziplinären Therapiemodule sich etabliert haben. Material und Methoden Hierfür dienen neben einer Literaturrecherche die Erfahrungen einer Rehabilitationsklinik, die seit dem Jahr 2000 Rehabilitationen nach Nierentransplantation und nach Lebendspende anbietet und etwa 600 Patienten pro Jahr behandelt. Ergebnisse Spezialisierte Rehamaßnahmen mit nephrologischem und transplantationsmedizinischem Schwerpunkt können die ambulante Nachsorge nach Nierentransplantation und Nierenlebendspende sinnvoll ergänzen, wenn die Rehabilitationsklinik konzeptionelle, personelle und strukturelle Qualitätsanforderungen erfüllt. Eine enge Kooperation der Rehaklinik mit dem Transplantationszentrum und den behandelnden Nephrologen ist essenziell. Diskussion Kontrollierte Studien zur Langzeitnachsorge unter Einbeziehung der stationären Rehabilitation sind anzustreben. Auch Prärehabilitation sollte in diesen Kontext einbezogen werden.
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Affiliation(s)
- Doris Gerbig
- Fachklinik Bad Heilbrunn, Innere Medizin - Nephrologie/Transplantationsnachsorge, m&i - Fachklinik Bad Heilbrunn, Wörnerweg 30, 83670 Bad Heilbrunn, Deutschland
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