Prognostic value of muscle atrophy in cirrhosis using psoas muscle thickness on computed tomography

Journal of Hepatology

Volumn 60, Issue 6, 2014, Pages 1151-1157

  Durand, François ^a,b   Buyse, Sophie ^a   Francoz, Claire ^a,b   Laouénan, Cédric ^c,d   Bruno, Onorina ^a   Belghiti, Jacques ^a   Moreau, Richard ^a,b   Vilgrain, Valérie ^a,b   Valla, Dominique ^a,b  

^a BEAUJON HOSPITAL   (France)

^b CENTRE DE RECHERCHE BIOMÉDICALE BICHAT BEAUJON CRB3   (France)

^c BICHAT HOSPITAL   (France)

^d INSERM   (France)

Author keywords

Cirrhosis; Liver transplantation; MELD score; Refractory ascites; Sarcopenia

Indexed keywords

ADULT; ARTICLE; ASCITES; COHORT ANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; HUMAN; IMAGE ANALYSIS; LIVER CIRRHOSIS; LIVER TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; MODEL FOR END STAGE LIVER DISEASE SCORE; MORTALITY; MUSCLE ATROPHY; MUSCLE THICKNESS; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; PSOAS MUSCLE; TRANSVERSAL PSOAS MUSCLE THICKNESS; HOSPITAL ADMISSION; KAPLAN MEIER METHOD; MIDDLE AGED; PREDICTIVE VALUE; RADIOGRAPHY; RISK FACTOR; SARCOPENIA; SEVERITY OF ILLNESS INDEX; OUTCOME ASSESSMENT; POSTOPERATIVE PERIOD; UMBILICUS;

ADULT; FEMALE; HUMANS; KAPLAN-MEIER ESTIMATE; LIVER CIRRHOSIS; LIVER TRANSPLANTATION; MALE; MIDDLE AGED; MUSCULAR ATROPHY; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PSOAS MUSCLES; RISK FACTORS; SARCOPENIA; SEVERITY OF ILLNESS INDEX; TOMOGRAPHY, X-RAY COMPUTED; WAITING LISTS;

EID: 84901196738     PISSN: 01688278     EISSN: 16000641     Source Type: Journal    
DOI: 10.1016/j.jhep.2014.02.026     Document Type: Article

References (25)

1. P.S. Kamath, R.H. Wiesner, M. Malinchoc, W. Kremers, T.M. Therneau, and C.L. Kosberg et al. A model to predict survival in patients with end-stage liver disease Hepatology 33 2001 464 470
2. R. Wiesner, E. Edwards, R. Freeman, A. Harper, R. Kim, and P. Kamath et al. Model for end-stage liver disease (MELD) and allocation of donor livers Gastroenterology 124 2003 91 96
3. F. Durand, and D. Valla Assessment of the prognosis of cirrhosis: Child-Pugh vs. MELD J Hepatol 42 2005 S100 S107
4. D.M. Heuman, S.G. Abou-Assi, A. Habib, L.M. Williams, R.T. Stravitz, and A.J. Sanyal et al. Persistent ascites and low serum sodium identify patients with cirrhosis and low MELD scores who are at high risk for early death Hepatology 40 2004 802 810
5. T. Serste, T. Gustot, P.E. Rautou, C. Francoz, H. Njimi, and F. Durand et al. Severe hyponatremia is a better predictor of mortality than MELDNa in patients with cirrhosis and refractory ascites J Hepatol 57 2012 274 280
6. M. Somsouk, R. Kornfield, E. Vittinghoff, J.M. Inadomi, and S.W. Biggins Moderate ascites identifies patients with low model for end-stage liver disease scores awaiting liver transplantation who have a high mortality risk Liver Transpl 17 2011 129 136
7. S.W. Biggins, H.J. Rodriguez, P. Bacchetti, N.M. Bass, J.P. Roberts, and N.A. Terrault Serum sodium predicts mortality in patients listed for liver transplantation Hepatology 41 2005 32 39
8. W.R. Kim, S.W. Biggins, W.K. Kremers, R.H. Wiesner, P.S. Kamath, and J.T. Benson et al. Hyponatremia and mortality among patients on the liver-transplant waiting list N Engl J Med 359 2008 1018 1026
9. F. Figueiredo, E.R. Dickson, T. Pasha, P. Kasparova, T. Therneau, and M. Malinchoc et al. Impact of nutritional status on outcomes after liver transplantation Transplantation 70 2000 1347 1352
10. O. Selberg, J. Bottcher, G. Tusch, R. Pichlmayr, E. Henkel, and M.J. Muller Identification of high- and low-risk patients before liver transplantation: a prospective cohort study of nutritional and metabolic parameters in 150 patients Hepatology 25 1997 652 657
11. G.R. Stephenson, E.W. Moretti, H. El-Moalem, P.A. Clavien, and J.E. Tuttle-Newhall Malnutrition in liver transplant patients: preoperative subjective global assessment is predictive of outcome after liver transplantation Transplantation 72 2001 666 670
12. M. Merli, M. Giusto, F. Gentili, G. Novelli, G. Ferretti, and O. Riggio et al. Nutritional status: its influence on the outcome of patients undergoing liver transplantation Liver Int 30 2010 208 214
13. P. Tandon, M. Ney, I. Irwin, M.M. Ma, L. Gramlich, and V.G. Bain et al. Severe muscle depletion in patients on the liver transplant wait list: its prevalence and independent prognostic value Liver Transpl 18 2012 1209 1216
14. R.J. Cruz Jr., M.A. Dew, L. Myaskovsky, B. Goodpaster, K. Fox, and P. Fontes et al. Objective radiologic assessment of body composition in patients with end-stage liver disease: going beyond the BMI Transplantation 95 2013 617 622
15. Biomédecine. Adl. Available at: http://www.sipg.sante.fr. 2013.
16. V. Mazzaferro, E. Regalia, R. Doci, S. Andreola, A. Pulvirenti, and F. Bozzetti et al. Liver transplantation for the treatment of small hepatocellular carcinomas in patients with cirrhosis N Engl J Med 334 1996 693 699
17. C. Francoz, J. Belghiti, D. Castaing, O. Chazouilleres, J.C. Duclos-Vallee, and C. Duvoux et al. Model for end-stage liver disease exceptions in the context of the French model for end-stage liver disease score-based liver allocation system Liver Transpl 17 2011 1137 1151
18. M.J. Pencina, and R.B. D'Agostino Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation Stat Med 23 2004 2109 2123
19. B. Haibe-Kains, C. Desmedt, C. Sotiriou, and G. Bontempi A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all? Bioinformatics 24 2008 2200 2208
20. F. Durand, J. Belghiti, R. Troisi, O. Boillot, A. Gadano, and C. Francoz et al. Living donor liver transplantation in high-risk vs. low-risk patients: optimization using statistical models Liver Transpl 12 2006 231 239
21. F. Gunsar, M.L. Raimondo, S. Jones, N. Terreni, C. Wong, and D. Patch et al. Nutritional status and prognosis in cirrhotic patients Aliment Pharmacol Ther 24 2006 563 572
22. W. Shen, M. Punyanitya, Z. Wang, D. Gallagher, M.P. St-Onge, and J. Albu et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image J Appl Physiol 97 2004 2333 2338
23. K. Marquis, R. Debigare, Y. Lacasse, P. LeBlanc, J. Jobin, and G. Carrier et al. Midthigh muscle cross-sectional area is a better predictor of mortality than body mass index in patients with chronic obstructive pulmonary disease Am J Respir Crit Care Med 166 2002 809 813
24. C.M. Prado, J.R. Lieffers, L.J. McCargar, T. Reiman, M.B. Sawyer, and L. Martin 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 9 2008 629 635
25. S. Ohkawa, M. Odamaki, T. Yoneyama, I. Hibi, K. Miyaji, and H. Kumagai Standardized thigh muscle area measured by computed axial tomography as an alternate muscle mass index for nutritional assessment of hemodialysis patients Am J Clin Nutr 71 2000 485 490