Thickness of Subcutaneous Fat as a Strong Risk Factor for Wound Infections in Elective Colorectal Surgery: Impact of Prediction Using Preoperative CT

Thickness of Subcutaneous Fat as a Strong Risk Factor for Wound Infections in Elective Colorectal Surgery: Impact of Prediction Using Preoperative CT
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DOI:
10.1159/000297521
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发表时间:
2010-01-01
期刊:
影响因子:
2.7
通讯作者:
Kuwano, Hiroyuki
Kuwano, Hiroyuki
中科院分区:
医学3区
文献类型:
--
作者:
Fujii, Takaaki;Tsutsumi, Soichi;Kuwano, Hiroyuki

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背景/目的:在本研究中,我们试图识别和评估最能预测结直肠手术术后切口手术部位感染(SSI)的因素,包括营养或肥胖的代表性标志物。方法:152 名接受择期结直肠切除术的患者被纳入本研究。感兴趣的结果是切口 SSI。通过单变量和多变量分析评估被认为可预测切口 SSI 的变量,包括体重指数 (BMI) 和皮下脂肪厚度 (TSF)。术前使用计算机断层扫描 (CT) 评估 TSF。结果:该研究中结直肠手术后切口 SSI 的总体发生率为 29 例 (19.1%)。 TSF 与切口 SSI 独立相关。虽然在单变量分析中 BMI 与切口 SSI 显着相关,但该变量在包括 TSF 的多变量分析中失去了显着性。其他营养标志物与切口 SSI 的风险没有显着相关性。结论:我们的结果表明,切口 SSI 的风险随着肥胖而增加,并且根据术前 CT 评估,切口 SSI 最有用的预测因子是 TSF。这些发现表明 CT 可用于评估 TSF 和预测切口 SSI 的风险。版权所有 (C) 2010 S. Karger AG,巴塞尔
Background/Aims: In this study, we have attempted to identify and assess factors that would be most predictive of postoperative incisional surgical site infection (SSI) in colorectal surgery, including representative markers for nutrition or obesity. Methods: 152 patients who underwent elective colorectal resection were identified for inclusion in this study. The outcome of interest was incisional SSI. Variables thought to be predictive of incisional SSI, including body mass index (BMI) and the thickness of subcutaneous fat (TSF), were assessed by univariate and multivariate analysis. TSF was evaluated preoperatively using computed tomography (CT). Results: The study's overall incidence of incisional SSI following a colorectal operation was 29 (19.1%). TSF was independently associated with incisional SSI. While BMI was significantly associated with incisional SSI on univariate analysis, this variable lost its significance on multivariate analysis that included TSF. Other nutritional markers were not significantly associated with the risk of incisional SSI. Conclusions: Our results suggest that the risk of incisional SSI increases with obesity, and that the most useful predictor of incisional SSI is TSF, as evaluated by preoperative CT. These findings indicate that CT is useful for the evaluation of TSF and the prediction of the risk of incisional SSI. Copyright (C) 2010 S. Karger AG, Basel