MICRO: Microsurgical Index for Complication Risk and Outcomes.

IF 2.3 3区 医学 Q2 SURGERY Journal of reconstructive microsurgery Pub Date : 2026-02-01 Epub Date: 2025-04-07 DOI:10.1055/a-2576-0299
Thomas M Johnstone, Daniel Najafali, Priscila C Cevallos, Augustine Kang, Clifford C Sheckter, Rahim S Nazerali, Gordon K Lee
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Abstract

Free tissue transfer (FTT) is determined by a multitude of patient and surgeon factors. However, no tool exists to quantify patient risk for complications following FTT. This study developed the microsurgical index for complication risk and outcomes (MICRO) to address this.Patients were queried from the 2007 to 2015 MarketScan Databases with CPT codes for FTT requiring microsurgical anastomosis. ICD-9 codes were used to query comorbidity and 90-day postoperative complication data for each patient. The Charlson and Elixhauser Comorbidity Indexes were constructed for each patient. The MICRO was then constructed with a forward stepwise selection from Elixhauser comorbidities and domain expert input. Indexes were used as covariates in multivariate logistic regression models with patient age, sex, and flap tissue type to predict complications following FTT. The area under the receiver operating characteristic curve and fivefold cross-validation classification accuracy was determined.A total of 5,595 patients were included. The final MICRO consists of seven variables (Charlson: 19; Elixhauser: 30). It had the highest area under the receiver operating characteristic curve (0.60) and accuracy (60.4%) of all indexes when predicting complications.The MICRO outperforms available patient comorbidity indexes at predicting complications following FTT with far fewer variables. Future studies could augment the MICRO with more granular or institutional data consisting of surgeon, donor-site, and recipient-site data to create a sharper risk-stratification tool for the plastic surgeon.

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并发症风险和结果的显微外科指数。
游离组织移植(FTT)是由许多患者和外科医生因素决定的。然而,没有工具可以量化FTT后患者并发症的风险。本研究开发了显微外科并发症风险和结果指数(MICRO)来解决这一问题。方法:从2007-2015年MarketScan数据库中查询需要显微外科吻合的FTT患者的CPT编码。使用ICD-9代码查询每位患者的合并症和术后90天并发症数据。为每位患者构建Charlson和Elixhauser合并症指数。然后构建MICRO,从Elixhauser合并症和领域专家输入中向前逐步选择。在与患者年龄、性别和皮瓣组织类型相关的多变量logistic回归模型中,使用指标作为协变量来预测FTT术后并发症。确定了受试者工作特征曲线下面积和5倍交叉验证分类准确率。结果:共纳入5595例患者。最终的MICRO包括七个变量(Charlson - 19;Elixhauser - 30)。在预测并发症时,各指标的受者工作特征曲线下面积最高(0.60),准确率最高(60.4%)。结论:MICRO在预测FTT并发症方面优于现有的患者合并症指标,变量少得多。未来的研究可以用更细粒度的或机构的数据来增强MICRO,包括外科医生、供体部位和受体部位的数据,为整形外科医生创造一个更清晰的风险分层工具。
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来源期刊
CiteScore
4.50
自引率
28.60%
发文量
80
审稿时长
1 months
期刊介绍: The Journal of Reconstructive Microsurgery is a peer-reviewed, indexed journal that provides an international forum for the publication of articles focusing on reconstructive microsurgery and complex reconstructive surgery. The journal was originally established in 1984 for the microsurgical community to publish and share academic papers. The Journal of Reconstructive Microsurgery provides the latest in original research spanning basic laboratory, translational, and clinical investigations. Review papers cover current topics in complex reconstruction and microsurgery. In addition, special sections discuss new technologies, innovations, materials, and significant problem cases. The journal welcomes controversial topics, editorial comments, book reviews, and letters to the Editor, in order to complete the balanced spectrum of information available in the Journal of Reconstructive Microsurgery. All articles undergo stringent peer review by international experts in the specialty.
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