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• W2893661561 abstract "Changes in body composition have been described in patients with Crohn’s disease, but their predictive performances on disease evolution remain undefined. The aims of our study were to assess, in patients with Crohn’s disease requiring abdominal computed tomography, body composition by computed tomography, and to study the outcome according to various body composition parameters at the time of the computed tomography. Patients with Crohn’s disease who underwent abdominal computed tomography for suspected complications were retrospectively included. The definition of adverse outcome included death or need for surgery within 6 months of the computed tomography. Skeletal muscle index and visceral and subcutaneous adiposity indexes were calculated from tissue surface areas measured at the third lumbar vertebra, divided by the height squared. The prevalence of underweight was 26.8% and the prevalence of sarcopenia was 33.6%. After gender adjustment, skeletal muscle index tended to be reduced in patients with adverse outcome, compared with patients without surgery or death [p = 0.07]. Moreover, subcutaneous adiposity index and visceral adiposity index were significantly lower in patients with surgery or death [p = 0.009 and p < 0.001, respectively]. These differences were almost equivalent in both genders for the subcutaneous adiposity index but were clearly stronger in men for the visceral adiposity index. Subcutaneous and visceral adiposity indexes correlate inversely with adverse outcome in patients with Crohn’s disease. Alteration of body composition assessed by computed tomography in these patients appears to be a marker of disease severity." @default.
• W2893661561 created "2018-10-05" @default.
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• W2893661561 date "2018-09-27" @default.
• W2893661561 modified "2023-09-30" @default.
• W2893661561 title "Lower Subcutaneous or Visceral Adiposity Assessed by Abdominal Computed Tomography Could Predict Adverse Outcome in Patients With Crohn’s Disease" @default.
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• W2893661561 doi "https://doi.org/10.1093/ecco-jcc/jjy124" @default.
• W2893661561 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30260374" @default.
• W2893661561 hasPublicationYear "2018" @default.
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