Published in:
01-12-2015 | Original Article
Is Abdominal Fat Distribution Measured by Axial CT Imaging an Indicator of Complications and Mortality in Acute Pancreatitis?
Authors:
T. C. Hall, J. S. Stephenson, M. J. Jones, W. S. Ngu, M. A. Horsfield, A. Rajesh, A. R. Dennison, G. Garcea
Published in:
Journal of Gastrointestinal Surgery
|
Issue 12/2015
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Abstract
Background
Obesity is an important risk-stratifying co-morbidity for many pathological conditions. Controversy exists about its influence in outcomes after acute pancreatitis (AP). This study assessed abdominal fat distribution (subcutaneous, retroperitoneal and intra-abdominal) measured using computer tomography (CT) images and related it to outcomes in patients with AP.
Methods
The case notes of patients admitted with AP were identified from computerised records from 2008 to the 2013. Image analysis software was used to assess the individual abdominal fat distributions from CT images.
Results
A total of 79 patients were included. There was no relationship between fat distribution and either severity of, or mortality from, AP. Fat distribution was not found to be an independent risk factor on multivariate analysis. There was, however, a positive correlation between retroperitoneal and intra-abdominal fat with APACHE II scores, Ranson and Glasgow score and Multiple Organ Dysfunction score (MODS) on various days following admission (r = 0.421, p = 0.0008; r = 0.469, p < 0.0001; r = 0.398, p = 0.007; r = 0.336, p = 0.011, respectively). On multiple logistical regression analysis, the only variables associated with mortality were Balthazar Severity Index, MODS and EWS with a p value of <0.0001, 0.0019 and 0.0481, respectively.
Conclusions
Obese patients have worse predicted outcomes as measured by the EWS, MODS and Ranson scores. Abdominal fat distribution, however, was not shown to be directly related to AP severity or mortality. The addition of fat parameters may be of use in prognostic CT severity index models, but from this data, it does not appear to be an independent risk factor of adverse outcome.