Korean J Radiol.  2019 Mar;20(3):522-530. 10.3348/kjr.2018.0241.

Association of Chest CT-Based Quantitative Measures of Muscle and Fat with Post-Lung Transplant Survival and Morbidity: A Single Institutional Retrospective Cohort Study in Korean Population

Affiliations
  • 1Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. dokh@amc.seoul.kr
  • 2Department of Thoracic and Cardiovascular Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • 3Division of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • 4Department of Infectious Disease, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Abstract


OBJECTIVE
Abnormal body composition is an important modifiable risk factor in lung transplantation. Therefore, precise quantification of different body components, including muscle and fat, may play an important role in optimizing outcomes in lung transplant patients. The purpose of the study was to investigate the prognostic significance of muscle and subcutaneous fat mass measured on chest CT with regard to lung transplantation survival and other post-transplant outcomes.
MATERIALS AND METHODS
The study population included 45 consecutive adult lung transplant recipients (mean age of 47.9 ± 12.1 years; 31 males and 14 females) between 2011 and 2017. Preoperative cross-sectional areas of muscle and subcutaneous fat were semi-automatically measured on axial CT images at the level of the 12th thoracic vertebra (T12). Additional normalized indexed parameters, adjusted for either height or weight, were obtained. Associations of quantitative parameters with survival and various other post-transplant outcomes were evaluated.
RESULTS
Of the 45 patients included in the present study, 10 mortalities were observed during the follow-up period. Patients with relative sarcopenia (RS) classified based on height-adjusted muscle area with a cut-off value of 28.07 cm²/m² demonstrated worse postoperative survival (log-rank test, p = 0.007; hazard ratio [HR], 6.39:1) despite being adjusted for age, sex, and body mass index (HR, 8.58:1; p = 0.022). Weight-adjusted parameters of muscle area were negatively correlated with duration of ventilator support (R = −0.54, p < 0.001) and intensive care unit (ICU) stay (R = −0.33, p = 0.021).
CONCLUSION
Patients with RS demonstrate worse survival after lung transplantation that those without RS. Additionally, quantitative parameters of muscles measured at the T12 level on chest CT were associated with the duration of post-lung transplant ventilator support and duration of stay in the ICU.

Keyword

Lung transplantation; Sarcopenia; Fat; Muscle; Chest CT; Survival

MeSH Terms

Adult
Body Composition
Body Mass Index
Cohort Studies*
Follow-Up Studies
Humans
Intensive Care Units
Lung
Lung Transplantation
Male
Mortality
Muscles
Retrospective Studies*
Risk Factors
Sarcopenia
Spine
Subcutaneous Fat
Thorax*
Tomography, X-Ray Computed
Transplant Recipients
Ventilators, Mechanical

Figure

  • Fig. 1 Flow diagram of study population.Final study population included 45 adult lung transplantation recipients from 2011 to 2017. CT = computed tomography

  • Fig. 2 Example of cross-sectional area measurement at level of 12th thoracic vertebra.Cross-sectional total muscle area (pink) and subcutaneous fat area (red) were automatically calculated using predefined CT HU thresholds (muscle, −29 to 150 HU; subcutaneous fat, −190 to −30 HU). HU = Hounsfield unit

  • Fig. 3 Post-transplantation survival analysis.Patients with relative sarcopenia were associated with worse overall survival (green line) (log-rank test, p = 0.007). Relative hazard ratio estimated using Cox-regression analysis was 6.39:1 (p = 0.019) for univariate and 8.58:1 (p = 0.022) for multivariate analysis, adjusted for recipient's age, sex, and body mass index.


Reference

1. Toronto Lung Transplant Group. Unilateral lung transplantation for pulmonary fibrosis. N Engl J Med. 1986; 314:1140–1145. PMID: 3515192.
2. Yusen RD, Edwards LB, Kucheryavaya AY, Benden C, Dipchand AI, Goldfarb SB, et al. The registry of the International Society for Heart and Lung Transplantation: thirty-second official adult lung and heart-lung transplantation report--2015; Focus theme: early graft failure. J Heart Lung Transplant. 2015; 34:1264–1277. PMID: 26454740.
Article
3. Haam SJ, Lee DY, Paik HC. An overview of lung transplantation in Korea. Transplant Proc. 2008; 40:2620–2622. PMID: 18929819.
Article
4. Thabut G, Mal H. Outcomes after lung transplantation. J Thorac Dis. 2017; 9:2684–2691. PMID: 28932576.
Article
5. Paik HC, Haam SJ, Lee DY, Yi GJ, Song SW, Kim YT, et al. The fate of patients on the waiting list for lung transplantation in Korea. Transplant Proc. 2012; 44:865–869. PMID: 22564569.
Article
6. Egan TM, Murray S, Bustami RT, Shearon TH, McCullough KP, Edwards LB, et al. Development of the new lung allocation system in the United States. Am J Transplant. 2006; 6(5 Pt 2):1212–1227. PMID: 16613597.
Article
7. Madill J, Gutierrez C, Grossman J, Allard J, Chan C, Hutcheon M, et al. Nutritional assessment of the lung transplant patient: body mass index as a predictor of 90-day mortality following transplantation. J Heart Lung Transplant. 2001; 20:288–296. PMID: 11257554.
Article
8. Singer JP, Peterson ER, Snyder ME, Katz PP, Golden JA, D'Ovidio F, et al. Body composition and mortality after adult lung transplantation in the United States. Am J Respir Crit Care Med. 2014; 190:1012–1021. PMID: 25233138.
Article
9. Englesbe MJ, Patel SP, He K, Lynch RJ, Schaubel DE, Harbaugh C, et al. Sarcopenia and mortality after liver transplantation. J Am Coll Surg. 2010; 211:271–278. PMID: 20670867.
Article
10. Streja E, Molnar MZ, Kovesdy CP, Bunnapradist S, Jing J, Nissenson AR, et al. Associations of pretransplant weight and muscle mass with mortality in renal transplant recipients. Clin J Am Soc Nephrol. 2011; 6:1463–1473. PMID: 21415312.
Article
11. Hook JL, Lederer DJ. Selecting lung transplant candidates: where do current guidelines fall short? Expert Rev Respir Med. 2012; 6:51–61. PMID: 22283579.
Article
12. Kyle UG, Nicod L, Romand JA, Slosman DO, Spiliopoulos A, Pichard C. Four-year follow-up of body compostion in lung transplant patients. Transplantation. 2003; 75:821–828. PMID: 12660509.
Article
13. Lee S, Paik HC, Haam SJ, Lee CY, Nam KS, Jung HS, et al. Sarcopenia of thoracic muscle mass is not a risk factor for survival in lung transplant recipients. J Thorac Dis. 2016; 8:2011–2017. PMID: 27621854.
Article
14. Maury G, Langer D, Verleden G, Dupont L, Gosselink R, Decramer M, et al. Skeletal muscle force and functional exercise tolerance before and after lung transplantation: a cohort study. Am J Transplant. 2008; 8:1275–1281. PMID: 18444941.
Article
15. Rozenberg D, Mathur S, Herridge M, Goldstein R, Schmidt H, Chowdhury NA, et al. Thoracic muscle cross-sectional area is associated with hospital length of stay post lung transplantation: a retrospective cohort study. Transpl Int. 2017; 30:713–724. PMID: 28390073.
Article
16. Rozenberg D, Wickerson L, Singer LG, Mathur S. Sarcopenia in lung transplantation: a systematic review. J Heart Lung Transplant. 2014; 33:1203–1212. PMID: 25044057.
Article
17. Camus V, Lanic H, Kraut J, Modzelewski R, Clatot F, Picquenot JM, et al. Prognostic impact of fat tissue loss and cachexia assessed by computed tomography scan in elderly patients with diffuse large B-cell lymphoma treated with immunochemotherapy. Eur J Haematol. 2014; 93:9–18.
Article
18. Lee SJ, Ryu YJ, Lee JH, Chang JH, Shim SS. The impact of low subcutaneous fat in patients with nontuberculous mycobacterial lung disease. Lung. 2014; 192:395–401. PMID: 24549334.
Article
19. Kyle UG, Genton L, Mentha G, Nicod L, Slosman DO, Pichard C. Reliable bioelectrical impedance analysis estimate of fat-free mass in liver, lung, and heart transplant patients. JPEN J Parenter Enteral Nutr. 2001; 25:45–51. PMID: 11284469.
Article
20. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on sarcopenia in older people. Age Ageing. 2010; 39:412–423. PMID: 20392703.
Article
21. Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab. 2008; 33:997–1006. PMID: 18923576.
Article
22. Pamoukdjian F, Bouillet T, Lévy V, Soussan M, Zelek L, Paillaud E. Prevalence and predictive value of pre-therapeutic sarcopenia in cancer patients: a systematic review. Clin Nutr. 2018; 37:1101–1113. PMID: 28734552.
Article
23. Kim EY, Kim YS, Park I, Ahn HK, Cho EK, Jeong YM, et al. Evaluation of sarcopenia in small-cell lung cancer patients by routine chest CT. Support Care Cancer. 2016; 24:4721–4726. PMID: 27364150.
Article
24. Nemec U, Heidinger B, Sokas C, Chu L, Eisenberg RL. Diagnosing sarcopenia on thoracic computed tomography: quantitative assessment of skeletal muscle mass in patients undergoing transcatheter aortic valve replacement. Acad Radiol. 2017; 24:1154–1161. PMID: 28365235.
25. Tong Y, Udupa JK, Torigian DA, Odhner D, Wu C, Pednekar G, et al. Chest fat quantification via CT based on standardized anatomy space in adult lung transplant candidates. PLoS One. 2017; 12:e0168932. PMID: 28046024.
Article
26. Meng NH, Li CI, Liu CS, Lin WY, Lin CH, Chang CK, et al. Sarcopenia defined by combining height- and weight-adjusted skeletal muscle indices is closely associated with poor physical performance. J Aging Phys Act. 2015; 23:597–606. PMID: 25562330.
Article
27. Budczies J, Klauschen F, Sinn BV, Gyo”rffy B, Schmitt WD, Darb-Esfahani S, et al. Cutoff Finder: a comprehensive and straightforward Web application enabling rapid biomarker cutoff optimization. PLoS One. 2012; 7:e51862. PMID: 23251644.
Article
28. Malietzis G, Aziz O, Bagnall NM, Johns N, Fearon KC, Jenkins JT. The role of body composition evaluation by computerized tomography in determining colorectal cancer treatment outcomes: a systematic review. Eur J Surg Oncol. 2015; 41:186–196. PMID: 25468746.
Article
29. Cruz RJ Jr, Dew MA, Myaskovsky L, Goodpaster B, Fox K, Fontes P, et al. Objective radiologic assessment of body composition in patients with end-stage liver disease: going beyond the BMI. Transplantation. 2013; 95:617–622. PMID: 23348896.
30. DiMartini A, Cruz RJ Jr, Dew MA, Myaskovsky L, Goodpaster B, Fox K, et al. Muscle mass predicts outcomes following liver transplantation. Liver Transpl. 2013; 19:1172–1180. PMID: 23960026.
Article
31. Krell RW, Kaul DR, Martin AR, Englesbe MJ, Sonnenday CJ, Cai S, et al. Association between sarcopenia and the risk of serious infection among adults undergoing liver transplantation. Liver Transpl. 2013; 19:1396–1402. PMID: 24151041.
Article
32. Kelm DJ, Bonnes SL, Jensen MD, Eiken PW, Hathcock MA, Kremers WK, et al. Pre-transplant wasting (as measured by muscle index) is a novel prognostic indicator in lung transplantation. Clin Transplant. 2016; 30:247–255. PMID: 26701203.
Article
33. Weig T, Milger K, Langhans B, Janitza S, Sisic A, Kenn K, et al. Core muscle size predicts postoperative outcome in lung transplant candidates. Ann Thorac Surg. 2016; 101:1318–1325. PMID: 26794887.
Article
34. Jeong YH, Choi S, Park SI, Kim DK. Asan Medical Center Lung Transplantation Team. Clinical outcomes of lung transplantation: experience at Asan Medical Center. Korean J Thorac Cardiovasc Surg. 2018; 51:22–28. PMID: 29430425.
Article
35. Prado CM, Lieffers JR, McCargar LJ, Reiman T, Sawyer MB, Martin L, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol. 2008; 9:629–635. PMID: 18539529.
Article
36. Shen W, Punyanitya M, Wang Z, Gallagher D, St-Onge MP, Albu J, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol (1985). 2004; 97:2333–2338. PMID: 15310748.
Article
37. Oh JK, Ahn MI, Kim HL, Park SH, Shin E. Retrodiaphragmatic portion of the lung: how deep is the posterior costophrenic sulcus on posteroanterior chest radiography? Clin Radiol. 2009; 64:786–791. PMID: 19589417.
Article
38. Furushima T, Miyachi M, Iemitsu M, Murakami H, Kawano H, Gando Y, et al. Comparison between clinical significance of height-adjusted and weight-adjusted appendicular skeletal muscle mass. J Physiol Anthropol. 2017; 36:15. PMID: 28193296.
Article
39. Lim S, Kim JH, Yoon JW, Kang SM, Choi SH, Park YJ, et al. Sarcopenic obesity: prevalence and association with metabolic syndrome in the Korean Longitudinal Study on Health and Aging (KLoSHA). Diabetes Care. 2010; 33:1652–1654. PMID: 20460442.
Article
Full Text Links
  • KJR
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr