Cahill Patrick J, Campbell Richard E, Lakomkin Nikita, Flynn John M, Nance Michael L, Mayer Oscar H, Taylor Jesse A, Baldwin Keith D, Campbell Robert M
Division of Orthopaedics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, USA.
Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Spine Deform. 2019 Nov;7(6):971-978. doi: 10.1016/j.jspd.2019.04.009.
Single-center retrospective analysis of a prospectively collected registry.
Identify factors predictive of rib-based distraction (RBD) instrumentation wound complication. Create a risk stratification model for RBD instrumentation wound complication.
RBD instrumentation procedures have a high rate of wound complications, often requiring unplanned operative treatment. Currently, there is a relative lack of understanding of RBD complication risk factors compared with the comprehensive understanding of complication risk factors for other spine surgeries.
Between January 2011 and September 2015, patients treated with RBD instrumentation at a single institution were analyzed for risk factors associated with surgical wound complications that resulted in unplanned operative treatment. Univariate logistic regression determined predictors of wound complication and multivariate regression determined independent predictive factors; α = 0.10.
A total of 122 patients aged 0-18 years underwent 140 implant surgeries in which 22 resulted in complications: 18 (82%) infectious and 4 (18%) noninfectious. Mean age at surgery was 5.2 years. Univariate analysis showed a correlation between wound complication rates and the following: male gender (p = .097), diapered patient with lower back incision (p = .004), bilateral procedure (p = .008), more than three incisions (p = .011), left iliac incision (p = .097), right iliac incision (p = .009), patient age ≤4 years (p = .10), and operative time >150 minutes (p = .079). Multivariate analysis identified the following independent predictors: age ≤ 4 years (p = .002), male gender (p = .04), number of skin incisions (p = .001), left iliac incision (p = .018), and nutritionally challenged (p = .044). The multivariate model predicted wound complications with an area under the receiver operating characteristic curve of 0.88.
Knowledge of risk factors for RBD instrumentation wound complications can be used to construct patient risk models. This can identify patients at higher risk for complications and influence clinical decision making.
Level II.
对前瞻性收集的登记资料进行单中心回顾性分析。
确定基于肋骨撑开(RBD)器械伤口并发症的预测因素。建立RBD器械伤口并发症的风险分层模型。
RBD器械手术的伤口并发症发生率很高,常常需要进行计划外的手术治疗。目前,与对其他脊柱手术并发症危险因素的全面了解相比,对RBD并发症危险因素的了解相对不足。
2011年1月至2015年9月期间,对在单一机构接受RBD器械治疗的患者进行分析,以确定导致计划外手术治疗的手术伤口并发症相关危险因素。单因素逻辑回归确定伤口并发症的预测因素,多因素回归确定独立预测因素;α=0.10。
共有122例0至18岁患者接受了140次植入手术,其中22例出现并发症:18例(82%)为感染性并发症,4例(18%)为非感染性并发症。手术时的平均年龄为5.2岁。单因素分析显示伤口并发症发生率与以下因素相关:男性(p=0.097)、下背部切口且仍使用尿布的患者(p=0.004)、双侧手术(p=0.008)、超过三个切口(p=0.011)、左髂切口(p=0.097)、右髂切口(p=0.009)、患者年龄≤4岁(p=0.10)以及手术时间>150分钟(p=0.079)。多因素分析确定了以下独立预测因素:年龄≤4岁(p=0.002)、男性(p=0.04)、皮肤切口数量(p=0.001)、左髂切口(p=0.018)以及营养状况不佳(p=0.044)。多因素模型预测伤口并发症的受试者工作特征曲线下面积为0.88。
RBD器械伤口并发症危险因素的知识可用于构建患者风险模型。这可以识别并发症风险较高的患者,并影响临床决策。
二级。