Literature DB >> 25328119

Simple psoas cross-sectional area measurement is a quick and easy method to assess sarcopenia and predicts major surgical complications.

K I Jones1, B Doleman, S Scott, J N Lund, J P Williams.   

Abstract

AIM: Radiologically assessed muscle mass has been suggested as a surrogate marker of functional status and frailty and may predict patients at risk of postoperative complications. We hypothesize that sarcopenia negatively impacts on postoperative recovery and is predictive of complications.
METHOD: One hundred patients undergoing elective resection for colorectal carcinoma were included in this study. Lean muscle mass was estimated by measuring the cross-sectional area of the psoas muscle at the level of the third lumbar vertebra identified on a preoperative CT scan, normalizing for patient height. Perioperative morbidity was scored according to the Clavien-Dindo classification. All statistical data analyses were carried out using the Statistical Package for the Social Sciences (SPSS) version 20.0.
RESULTS: Fifteen per cent of patients were identified as sarcopenic. There were no deaths in the study group. Sarcopenia was associated with a significantly increased risk of developing major complications (Grade 3 or greater, OR = 5.41, 95% CI: 1.45-20.15, P = 0.01). Sarcopenia did not predict length of stay, critical care dependency or time to mobilization.
CONCLUSION: Sarcopenia, as a marker of frailty, is an important risk factor in surgical patients but difficult to estimate using bedside testing. CT scans, performed for preoperative staging, provide an opportunity to quantify lean muscle mass without additional cost or exposure to radiation and eliminate the inconvenience of further investigations. Colorectal Disease
© 2014 The Association of Coloproctology of Great Britain and Ireland.

Entities:  

Keywords:  Sarcopenia; complications; computed tomography

Mesh:

Year:  2015        PMID: 25328119     DOI: 10.1111/codi.12805

Source DB:  PubMed          Journal:  Colorectal Dis        ISSN: 1462-8910            Impact factor:   3.788


  71 in total

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6.  Inter- and intra-observer variability of an anatomical landmark-based, manual segmentation method by MRI for the assessment of skeletal muscle fat content and area in subjects from the general population.

Authors:  Lena Sophie Kiefer; Jana Fabian; Roberto Lorbeer; Jürgen Machann; Corinna Storz; Mareen Sarah Kraus; Elke Wintermeyer; Christopher Schlett; Frank Roemer; Konstantin Nikolaou; Annette Peters; Fabian Bamberg
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7.  Frailty assessment prior to thoracic surgery for lung or esophageal cancer: a feasibility study.

Authors:  Dhruvin H Hirpara; Biniam Kidane; Patrik Rogalla; Marcelo Cypel; Marc de Perrot; Shaf Keshavjee; Andrew Pierre; Thomas Waddell; Kazuhiro Yasufuku; Gail E Darling
Journal:  Support Care Cancer       Date:  2018-11-14       Impact factor: 3.603

8.  Pre-operative psoas major measurement compared to P-POSSUM as a prognostic indicator in over-80s undergoing emergency laparotomy.

Authors:  Gregory Simpson; Alexander Parker; Philip Hopley; Jeremy Wilson; Conor Magee
Journal:  Eur J Trauma Emerg Surg       Date:  2018-10-13       Impact factor: 3.693

9.  Psoas Muscle Size Predicts Risk-Adjusted Outcomes After Surgical Aortic Valve Replacement.

Authors:  Robert B Hawkins; J Hunter Mehaffey; Eric J Charles; John A Kern; D Scott Lim; Nicholas R Teman; Gorav Ailawadi
Journal:  Ann Thorac Surg       Date:  2018-03-09       Impact factor: 4.330

10.  Computed Tomography-Measured Psoas Density Predicts Outcomes After Enterocutaneous Fistula Repair.

Authors:  Wilson D Lo; David C Evans; Taehwan Yoo
Journal:  JPEN J Parenter Enteral Nutr       Date:  2017-11-02       Impact factor: 4.016

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