Literature DB >> 34622417

Low skeletal muscle mass by computerized tomography is associated with increased mortality risk in end-stage kidney disease patients on hemodialysis.

Alice Sabatino1,2, Giuseppe Regolisti3,4,5, Giuseppe Benigno3,4, Francesca Di Mario3,4, Carla Maria Avesani6, Enrico Fiaccadori3,4.   

Abstract

BACKGROUND AND AIMS: Skeletal muscle (SM) area, as measured by abdominal CT at the level of the third lumbar vertebra (L3), has been proposed as a proxy of whole body muscle mass. However, population-specific reference values are lacking. In the present study we aimed at: (1) detecting low SM area on abdominal CT images in patients on hemodialysis by applying cut-offs derived from a group of healthy subjects, and (2) estimating the independent risk of all-cause mortality associated with low SM area.
METHODS: We retrospectively enrolled 212 adult patients on hemodialysis, undergoing abdominal CT scan (study group), and 87 healthy kidney donors (reference group). We obtained the gender-specific 5th percentile values of the abdominal SM area distribution from both the whole control group and the subgroup of younger (29-60 years) subjects, which we used as reference cut-offs. Then we applied those cut-offs in the study group to identify patients with low SM area. We used survival and Cox regression analysis to evaluate the risk of all-cause mortality associated with low abdominal SM area.
RESULTS: In the fully adjusted Cox regression analysis, the patients with low abdominal SM area had a higher risk of death than the patients with values above the reference cut-off derived in the subgroup of younger controls (adjHR = 1.79 (1.21; 2.67), P = 0.004).
CONCLUSIONS: Abdominal CT imaging can be used to detect low abdominal SM area in patients on hemodialysis by applying cut-offs derived from healthy subjects sharing a similar ethnic background. Low SM area as assessed by CT is independently associated with all-cause mortality in ESKD patients on hemodialysis.
© 2021. Italian Society of Nephrology.

Entities:  

Keywords:  Computed tomography; End-stage kidney disease; Mortality; Muscle wasting; Sarcopenia

Mesh:

Year:  2021        PMID: 34622417     DOI: 10.1007/s40620-021-01167-y

Source DB:  PubMed          Journal:  J Nephrol        ISSN: 1121-8428            Impact factor:   3.902


  42 in total

1.  Effects of body size and body composition on survival in hemodialysis patients.

Authors:  Srinivasan Beddhu; Lisa M Pappas; Nirupama Ramkumar; Matthew Samore
Journal:  J Am Soc Nephrol       Date:  2003-09       Impact factor: 10.121

2.  Associations of body size and body composition with functional ability and quality of life in hemodialysis patients.

Authors:  Macy Martinson; T Alp Ikizler; Glen Morrell; Guo Wei; Nestor Almeida; Robin L Marcus; Rebecca Filipowicz; Tom H Greene; Srinivasan Beddhu
Journal:  Clin J Am Soc Nephrol       Date:  2014-04-24       Impact factor: 8.237

3.  Circulating follistatin in patients with chronic kidney disease: implications for muscle strength, bone mineral density, inflammation, and survival.

Authors:  Tetsu Miyamoto; Juan Jesús Carrero; Abdul Rashid Qureshi; Björn Anderstam; Olof Heimbürger; Peter Bárány; Bengt Lindholm; Peter Stenvinkel
Journal:  Clin J Am Soc Nephrol       Date:  2011-02-24       Impact factor: 8.237

4.  Association of Sarcopenia With Nutritional Parameters, Quality of Life, Hospitalization, and Mortality Rates of Elderly Patients on Hemodialysis.

Authors:  Juliana Giglio; Maria Ayako Kamimura; Fernando Lamarca; Juliana Rodrigues; Fernanda Santin; Carla Maria Avesani
Journal:  J Ren Nutr       Date:  2018-05       Impact factor: 3.655

5.  Mid-arm muscle circumference and quality of life and survival in maintenance hemodialysis patients.

Authors:  Nazanin Noori; Joel D Kopple; Csaba P Kovesdy; Usama Feroze; John J Sim; Sameer B Murali; Amanda Luna; Myra Gomez; Claudia Luna; Rachelle Bross; Allen R Nissenson; Kamyar Kalantar-Zadeh
Journal:  Clin J Am Soc Nephrol       Date:  2010-10-14       Impact factor: 8.237

6.  Muscle atrophy, inflammation and clinical outcome in incident and prevalent dialysis patients.

Authors:  Juan Jesús Carrero; Michal Chmielewski; Jonas Axelsson; Sunna Snaedal; Olof Heimbürger; Peter Bárány; Mohamed E Suliman; Bengt Lindholm; Peter Stenvinkel; Abdul Rashid Qureshi
Journal:  Clin Nutr       Date:  2008-06-06       Impact factor: 7.324

7.  Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults.

Authors:  Giuseppe Sergi; Marina De Rui; Nicola Veronese; Francesco Bolzetta; Linda Berton; Sara Carraro; Giulia Bano; Alessandra Coin; Enzo Manzato; Egle Perissinotto
Journal:  Clin Nutr       Date:  2014-07-24       Impact factor: 7.324

8.  Kidney function and sarcopenia in the United States general population: NHANES III.

Authors:  Robert N Foley; Changchun Wang; Areef Ishani; Allan J Collins; Anne M Murray
Journal:  Am J Nephrol       Date:  2007-04-17       Impact factor: 3.754

Review 9.  Protein-energy wasting and nutritional supplementation in patients with end-stage renal disease on hemodialysis.

Authors:  A Sabatino; G Regolisti; T Karupaiah; S Sahathevan; B K Sadu Singh; B H Khor; N Salhab; M Karavetian; A Cupisti; E Fiaccadori
Journal:  Clin Nutr       Date:  2016-06-18       Impact factor: 7.324

10.  Noninvasive evaluation of muscle mass by ultrasonography of quadriceps femoris muscle in End-Stage Renal Disease patients on hemodialysis.

Authors:  Alice Sabatino; Giuseppe Regolisti; Marco Delsante; Tommaso Di Motta; Chiara Cantarelli; Sarah Pioli; Giulia Grassi; Valentina Batini; Mariacristina Gregorini; Enrico Fiaccadori
Journal:  Clin Nutr       Date:  2018-05-19       Impact factor: 7.324

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  1 in total

1.  Adherence to Caloric and Protein Recommendations in Older Hemodialysis Patients: A Multicenter Study.

Authors:  Sylwia Czaja-Stolc; Ewelina Puchalska-Reglińska; Sylwia Małgorzewicz; Marta Potrykus; Małgorzata Kaczkan; Aneta Kałużna; Zbigniew Heleniak; Alicja Dębska-Ślizień
Journal:  Nutrients       Date:  2022-10-07       Impact factor: 6.706

  1 in total

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