Predicting Abdominal Closure After Component Separation for Complex Ventral Hernias

医学 腹壁 外科 体质指数 计算机断层摄影术 逻辑回归 结束语(心理学) 腹疝 回顾性队列研究 核医学 放射科 内科学 市场经济 经济
作者
Brenton R. Franklin,Ketan M. Patel,Maurice Y. Nahabedian,Laura Baldassari,E. Cohen,Parag Bhanot
出处
期刊:Annals of Plastic Surgery [Lippincott Williams & Wilkins]
卷期号:71 (3): 261-265 被引量:35
标识
DOI:10.1097/sap.0b013e3182773915
摘要

Component separation techniques (CSTs) have allowed for midline fascial reapproximation in large midline ventral hernias. In certain cases, however, fascial apposition is not feasible, resulting in a bridged repair that is suboptimal. Previous estimates on myofascial advancement are based on hernia location and do not take into account variability between patients. Examination of preoperative computed tomography (CT) may provide insight into these variabilities and may allow for prediction of abdominal closure with CST.A retrospective review was conducted of patients who underwent abdominal wall reconstruction from 2007 to 2012 with CST. Preoperative CT was obtained, and specific parameters were analyzed using image analysis software. Logistic regression was used to predict ideal operative closure. Multivariate analyses were adjusted for age and sex. An a priori value was set at P < 0.05.Fifty-four patients met the criteria and had preoperative CT available for analysis. Forty-eight patients had fascial reapproximation achieved, whereas 6 patients had a bridged repair. Age, sex, weight, and body mass index were similar between groups (P > 0.05). Significant differences were seen between groups in 3 variables: transverse defect size (19.8 vs 10 cm, P < 0.05), defect area (420 vs 184.2 cm, P < 0.05), and percent abdominal wall defect (18.9% vs 10.6%, P < 0.05).Preoperative determination of abdominal wall defect ratios and hernia defect areas may represent a more accurate method to predict abdominal wall closure after CST. Predicting midline approximation after CST is critical because outcomes after bridged repair can result in higher recurrence rates.

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