BACKGROUND: Obesity increases the risk for severe acute pancreatitis, although abdominal obesity may be a better prognostic marker. AIM: To determine if a single anthropometric parameter best predicts severe acute pancreatitis and correlates with intra-abdominal fat. METHODS: Ninety-nine patients with acute pancreatitis were studied prospectively. Anthropometry included body mass index (BMI) and girths (umbilical/minimum waist, iliac/trochanter hip, thigh). Several waist-to-hip/waist-to-thigh ratios (WHR/WTR) were constructed. A CT-scan with calculation of cross-sectional abdominal fat areas was obtained in 37 cases. RESULTS: Severe acute pancreatitis occurred in 25 patients. Waist circumference (WC), WHR and WTR - all using the umbilical reference - most accurately predicted severe acute pancreatitis. Only umbilical WC was retained in multivariate analysis: the risk for severe acute pancreatitis increased 16% with every 1 cm (OR 1.16, 95%CI: 1.1-1.3). Abdominal obesity caused a 6-fold increase in risk. Umbilical WC correlated best with subcutaneous fat area (r = 0.791, P < 0.001), whereas WHR with intra-abdominal (r = 0.594, P < 0.001). CONCLUSIONS: Abdominal obesity according to umbilical WC is a better predictor for development of severe acute pancreatitis than BMI, minimum WC, WHR and WTR. The protocol for anthropometry must be standardized as it may affect results. Both subcutaneous and intra-abdominal fat appears to affect the likelihood of a severe outcome.
BACKGROUND: Obesity increases the risk for severe acute pancreatitis, although abdominal obesity may be a better prognostic marker. AIM: To determine if a single anthropometric parameter best predicts severe acute pancreatitis and correlates with intra-abdominal fat. METHODS: Ninety-nine patients with acute pancreatitis were studied prospectively. Anthropometry included body mass index (BMI) and girths (umbilical/minimum waist, iliac/trochanter hip, thigh). Several waist-to-hip/waist-to-thigh ratios (WHR/WTR) were constructed. A CT-scan with calculation of cross-sectional abdominal fat areas was obtained in 37 cases. RESULTS: Severe acute pancreatitis occurred in 25 patients. Waist circumference (WC), WHR and WTR - all using the umbilical reference - most accurately predicted severe acute pancreatitis. Only umbilical WC was retained in multivariate analysis: the risk for severe acute pancreatitis increased 16% with every 1 cm (OR 1.16, 95%CI: 1.1-1.3). Abdominal obesity caused a 6-fold increase in risk. Umbilical WC correlated best with subcutaneous fat area (r = 0.791, P < 0.001), whereas WHR with intra-abdominal (r = 0.594, P < 0.001). CONCLUSIONS:Abdominal obesity according to umbilical WC is a better predictor for development of severe acute pancreatitis than BMI, minimum WC, WHR and WTR. The protocol for anthropometry must be standardized as it may affect results. Both subcutaneous and intra-abdominal fat appears to affect the likelihood of a severe outcome.
Authors: Sarah Navina; Chathur Acharya; James P DeLany; Lidiya S Orlichenko; Catherine J Baty; Sruti S Shiva; Chandra Durgampudi; Jenny M Karlsson; Kenneth Lee; Kyongtae T Bae; Alessandro Furlan; Jaideep Behari; Shiguang Liu; Teresa McHale; Larry Nichols; Georgios Ioannis Papachristou; Dhiraj Yadav; Vijay P Singh Journal: Sci Transl Med Date: 2011-11-02 Impact factor: 17.956
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