ePrints

Sarcopenic obesity and post-operative morbidity after pancreatic surgery: a cohort study

Lookup NU author(s): Sanjay PandanaboyanaORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

© 2019 Royal Australasian College of SurgeonsBackground: Several indices of sarcopenia (SARC) exist in the literature, however, there is no consensus as to the best SARC index to predict post-operative morbidity following pancreatic surgery. Methods: A prospectively collected database was reviewed in a single institution including a total of 89 consecutive patients who had undergone pancreatic resection between 2015 and 2018. Results: A total of 89 patients comprised the cohort. Seventy-one percent (63/89) underwent pancreaticoduodenectomy. SARC was identified in 49 patients (55%) using psoas muscle index, 44 patients (49%) using the skeletal muscle index and 25 patients (28%) using the skeletal muscle attenuation. Post-operative morbidity did not differ between SARC and non-SARC (NSARC) patients using all three preoperative computed tomography measures (skeletal muscle index SARC 64%, 28/44, NSARC 64%, 29/45, P = 1.000; psoas muscle index SARC 63%, 31/49, NSARC 65%, 26/40, P = 0.810; skeletal muscle attenuation SARC 17/25, NSARC 40/64, P = 0.247). However, sarcopenic obesity was a significant independent risk factor for overall post-operative morbidity on multivariate analysis (odds ratio 1.241 (SE 0.608), P = 0.041) with the highest specificity (81%). Conclusion: Preoperative sarcopenic obesity can be an important independent predictor of post-operative morbidity following pancreatic resection. There remains a need for standardization of SARC indices.

Publication metadata

Author(s): Ratnayake CBB, Wells C, Olsson M, Windsor JA, Pandanaboyana S

Publication type: Article

Publication status: Published

Journal: ANZ Journal of Surgery

Year: 2019

Volume: 89

Issue: 12

Pages: 1587-1592

Print publication date: 17/12/2019

Online publication date: 18/09/2019

Acceptance date: 14/08/2019

ISSN (print): 1445-1433

ISSN (electronic): 1445-2197

Publisher: Blackwell Publishing

URL: https://doi.org/10.1111/ans.15431

DOI: 10.1111/ans.15431

PubMed id: 31533199

Altmetrics

Share