Visceral obesity determined in routine preoperative CT scans predicts risk of postoperative burst abdomen.
Matthias MehdornBenedikt SchnarkowskiYusef MoullaJohanna PapeTimm DeneckeInes GockelWoubet Tefera KassahunHans-Jonas MeyerPublished in: Scientific reports (2023)
Burst abdomen (BA) remains a severe postoperative complication after abdominal surgery. Obesity is a known risk factor for postoperative complications but objective parameters such as body mass index fail to predict BA after abdominal surgery. In recent literature, CT-derived body composition assessment could predict obesity-related diseases and surgical site infections. We report data from the institutional wound register, comparing patients with BA to a subgroup of patients without BA. The CT images were evaluated for intraabdominal and subcutaneous fat tissues. Univariate and multivariate risk factor analysis was performed in order to evaluate CT-derived obesity parameters as risk factor for BA. 92 patients with BA were compared to 32 controls. Patients with BA had significantly more visceral obesity (VO; p < 0.001) but less subcutaneous obesity (SCO) on CT scans. VO and SCO both were positively correlated with BMI (r = 0.452 and 0.572) but VO and SCO were inversely correlated (r = -0.189). Multivariate analysis revealed VO as significant risk factor for postoperative BA (OR 1.257; 95% CI 1.084-1.459; p = 0.003). Our analysis of patients with postoperative BA revealed VO as major risk factor for postoperative BA. Thus, preoperative CT scans gives valuable information on possible risk stratification.
Keyphrases
- insulin resistance
- dual energy
- computed tomography
- contrast enhanced
- patients undergoing
- weight gain
- metabolic syndrome
- weight loss
- image quality
- high fat diet induced
- body composition
- type diabetes
- body mass index
- adipose tissue
- positron emission tomography
- magnetic resonance imaging
- systematic review
- skeletal muscle
- gene expression
- risk factors
- ejection fraction
- newly diagnosed
- single cell
- physical activity
- clinical trial
- social media
- clinical practice
- chronic kidney disease
- resistance training
- artificial intelligence
- electronic health record