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肾周脂肪厚度是机器人辅助部分肾切除术手术复杂性的独立预测因子。

Perinephric fat thickness is an independent predictor of operative complexity during robot-assisted partial nephrectomy.

机构信息

Department of Urology, University of Washington School of Medicine , Seattle, Washington.

出版信息

J Endourol. 2014 May;28(5):587-91. doi: 10.1089/end.2013.0647. Epub 2014 Jan 29.

Abstract

BACKGROUND AND PURPOSE

Obesity is often categorized by body mass index (BMI), but abdominal wall and visceral fat quantity vary with equivalent BMI. This study compares multiple fat measurements as predictors of operative complexity during robot-assisted partial nephrectomy (RAPN). Because perinephric fat around the kidney impacts the operative field, it is expected to be a superior predictor of complexity.

PATIENTS AND METHODS

Consecutive RAPN cases were used for multivariate analysis of the association between fat mass (BMI; measurements of abdominal wall fat in anterior, posterior, posterolateral, and lateral orientation, and perinephric fat in anterior, posterior, medial, and lateral orientation) and complexity metrics: Operative time and estimated blood loss (EBL). Adjustments were made for age, sex, tumor side, nephrometry score, comorbidities, and abdominal surgery.

RESULTS

Among 53 patients undergoing RAPN, perinephric fat measurements were independently associated with increased EBL and operative time. For each 1-mm increase in medial perinephric fat, EBL increased 24 mL (95% confidence interval [CI] 13-34 mL) and operative time increased 3.3 minutes (95% CI 1.0-5.7 min). For each 1-mm increase in posterior perinephric fat, the EBL and operative time increases were 19 mL (95% CI 8.1-30 mL) and 3.3 minutes (95% CI 1.0-5.6 min). Abdominal wall fat was not associated with operative time or EBL.

CONCLUSION

Perinephric fat thickness, particularly medial and posterior fat, is associated with increased EBL and operative time during RAPN, independent of BMI and nephrometry score. These data may be helpful for preoperative risk assessment and counseling and could be incorporated in future complexity scores.

摘要

背景与目的

肥胖通常通过身体质量指数(BMI)来分类,但腹壁和内脏脂肪量随 BMI 变化而变化。本研究比较了多种脂肪测量值作为预测机器人辅助部分肾切除术(RAPN)手术复杂性的指标。由于肾周脂肪会影响手术视野,因此预计它是一种更好的复杂性预测指标。

患者与方法

连续的 RAPN 病例用于多元分析脂肪量(BMI;测量腹壁前、后、后外侧和外侧方向的脂肪,以及肾周前、后、内侧和外侧方向的脂肪)与复杂性指标(手术时间和估计失血量(EBL))之间的关联。调整了年龄、性别、肿瘤侧、肾肿瘤学评分、合并症和腹部手术等因素。

结果

在 53 例接受 RAPN 的患者中,肾周脂肪测量值与增加的 EBL 和手术时间独立相关。内侧肾周脂肪每增加 1 毫米,EBL 增加 24 毫升(95%置信区间[CI] 13-34 毫升),手术时间增加 3.3 分钟(95%CI 1.0-5.7 分钟)。后肾周脂肪每增加 1 毫米,EBL 和手术时间增加分别为 19 毫升(95%CI 8.1-30 毫升)和 3.3 分钟(95%CI 1.0-5.6 分钟)。腹壁脂肪与手术时间或 EBL 无关。

结论

肾周脂肪厚度,特别是内侧和后侧脂肪,与 RAPN 中增加的 EBL 和手术时间相关,与 BMI 和肾肿瘤学评分无关。这些数据可能有助于术前风险评估和咨询,并可纳入未来的复杂性评分。

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