BACKGROUND: Obesity is a well-established risk factor for acute pancreatitis. Increased visceral fat has been shown to exacerbate the pro-inflammatory milieu experienced by patients. This study aimed to investigate the relationship between the severity of acute pancreatitis and abdominal fat distribution parameters measured on computed tomography (CT) scan. METHODS: Consecutive patients admitted to Cork University Hospital with acute pancreatitis between January 2005 and December 2010 were evaluated for inclusion in the study. An open source image analysis software (Osirix, v 3.9) was used to calculate individual abdominal fat distribution parameters from CT scans by segmentation of abdominal tissues. RESULTS: A total of 214 patients were admitted with pancreatitis between January 2005 and December 2010. Sixty-two of these patients underwent a CT scan and were thus eligible for inclusion. Visceral fat volume was the volumetric fat parameter that had the most significant association with severe acute pancreatitis (P = 0.003). There was a significant association between visceral fat volume and subsequent development of systemic complications of severe acute pancreatitis (P = 0.003). There was a strong association between mortality and visceral fat volume (P = 0.019). Multivariate regression analysis, adjusted for gender, did not identify any individual abdominal fat distribution index as an independent risk factor for severe acute pancreatitis. CONCLUSIONS: Overall, estimation of abdominal fat distribution parameters from CT scans performed on patients with acute pancreatitis indicates a strong association between visceral fat, severe acute pancreatitis, and the subsequent development of systemic complications. These data suggest that visceral fat volume should be incorporated into future predictive scoring systems.
BACKGROUND: Obesity is a well-established risk factor for acute pancreatitis. Increased visceral fat has been shown to exacerbate the pro-inflammatory milieu experienced by patients. This study aimed to investigate the relationship between the severity of acute pancreatitis and abdominal fat distribution parameters measured on computed tomography (CT) scan. METHODS: Consecutive patients admitted to Cork University Hospital with acute pancreatitis between January 2005 and December 2010 were evaluated for inclusion in the study. An open source image analysis software (Osirix, v 3.9) was used to calculate individual abdominal fat distribution parameters from CT scans by segmentation of abdominal tissues. RESULTS: A total of 214 patients were admitted with pancreatitis between January 2005 and December 2010. Sixty-two of these patients underwent a CT scan and were thus eligible for inclusion. Visceral fat volume was the volumetric fat parameter that had the most significant association with severe acute pancreatitis (P = 0.003). There was a significant association between visceral fat volume and subsequent development of systemic complications of severe acute pancreatitis (P = 0.003). There was a strong association between mortality and visceral fat volume (P = 0.019). Multivariate regression analysis, adjusted for gender, did not identify any individual abdominal fat distribution index as an independent risk factor for severe acute pancreatitis. CONCLUSIONS: Overall, estimation of abdominal fat distribution parameters from CT scans performed on patients with acute pancreatitis indicates a strong association between visceral fat, severe acute pancreatitis, and the subsequent development of systemic complications. These data suggest that visceral fat volume should be incorporated into future predictive scoring systems.
Authors: David J Ciesla; Ernest E Moore; Jeffery L Johnson; Jon M Burch; C Clay Cothren; Angela Sauaia Journal: J Am Coll Surg Date: 2006-08-23 Impact factor: 6.113
Authors: Laura Sempere; Juan Martinez; Enrique de Madaria; Beatriz Lozano; Jose Sanchez-Paya; Rodrigo Jover; Miguel Perez-Mateo Journal: Pancreatology Date: 2008-05-22 Impact factor: 3.996
Authors: Ruma G Singh; Sayali A Pendharkar; Nicola A Gillies; Victor Miranda-Soberanis; Lindsay D Plank; Maxim S Petrov Journal: Clin Exp Med Date: 2017-02-06 Impact factor: 3.984
Authors: T C Hall; J S Stephenson; M J Jones; W S Ngu; M A Horsfield; A Rajesh; A R Dennison; G Garcea Journal: J Gastrointest Surg Date: 2015-10-06 Impact factor: 3.452
Authors: Hanna Sternby; Mariella Mahle; Nicolas Linder; Laureen Erichson-Kirst; Robert C Verdonk; Alexandra Dimova; Povilas Ignatavicius; Lucas Ilzarbe; Peeter Koiva; Anne Penttilä; Sara Regnér; Thomas L Bollen; Richard Brill; Franz Stangl; Walter A Wohlgemuth; Vijay Singh; Harald Busse; Patrick Michl; Sebastian Beer; Jonas Rosendahl Journal: United European Gastroenterol J Date: 2019-10-09 Impact factor: 4.623