Predicting Complications in 153 Lumbar Pedicle Subtraction Osteotomies by a Single Surgeon Over a 6-Year Period.

IF 2.6 2区 医学 Q1 ORTHOPEDICS
Seth C Baker, Christopher Lucasti, Benjamin C Graham, Maxwell M Scott, Emily K Vallee, David Kowalski, Dil V Patel, Christopher L Hamill
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引用次数: 0

Abstract

Introduction: Pedicle subtraction osteotomy (PSO) is a complex surgical procedure that provides correction of moderate sagittal imbalance. Surgical complications have adverse effects on patient outcomes and healthcare costs, making it imperative for clinical researchers to focus on minimizing complications. However, when it comes to risk modeling of PSO surgery, there is currently no consensus on which patient characteristics or measures should be used. This study aimed to describe complications and compare the performance of various sociodemographic characteristics, surgical variables, and established risk indices in predicting postoperative complications, infections, and readmissions after lumbar PSO surgeries.

Methods: A review was conducted on 191 patients who underwent PSO surgery at a single institution by a single fellowship-trained orthopaedic spine surgeon between January 1, 2018, and December 31, 2021. Demographic, intraoperative, and postoperative data within 30 days, 1 year, and 2 years of the index procedure were evaluated. Descriptive statistics, t -test, chi-squared analysis, and logistic regression models were used.

Results: Intraoperative complications were significantly associated with coronary artery disease (odds ratios [OR] 3.95, P = 0.03) and operating room time (OR 1.01, P = 0.006). 30-day complications were significantly cardiovascular disease (OR 2.68, P = 0.04) and levels fused (OR 1.10, P = 0.04). 2-year complications were significantly associated with cardiovascular disease (OR 2.85, P = 0.02). 30-day readmissions were significantly associated with sex (4.47, 0.04) and length of hospital stay (χ 2 = 0.07, P = 0.04). 2-year readmissions were significantly associated with age (χ 2 = 0.50, P = 0.03), hypertension (χ 2 = 4.64, P = 0.03), revision surgeries (χ 2 = 5.46, P = 0.02), and length of hospital stay (χ 2 = 0.07, P = 0.03).

Discussion: This study found that patients with coronary vascular disease and longer fusions were at higher risk of postoperative complications and patients with notable intraoperative blood loss were at higher risk of postoperative infections. In addition, physicians should closely follow patients with extended postoperative hospital stays, with advanced age, and undergoing revision surgery because these patients were more likely to be readmitted to the hospital.

预测一位外科医生 6 年内 153 例腰椎椎弓根截骨手术的并发症
简介椎弓根减低截骨术(PSO)是一种复杂的外科手术,可纠正中度矢状不平衡。手术并发症会对患者预后和医疗成本产生不利影响,因此临床研究人员必须将重点放在减少并发症上。然而,就 PSO 手术的风险建模而言,目前还没有就应使用哪些患者特征或措施达成共识。本研究旨在描述腰椎间盘突出症手术后的并发症,并比较各种社会人口学特征、手术变量和既定风险指数在预测术后并发症、感染和再住院方面的表现:对2018年1月1日至2021年12月31日期间在一家机构由一名受过研究培训的骨科脊柱外科医生进行PSO手术的191名患者进行了回顾性研究。对指数手术后 30 天、1 年和 2 年内的人口统计学、术中和术后数据进行了评估。采用了描述性统计、t 检验、卡方分析和逻辑回归模型:结果:术中并发症与冠状动脉疾病(几率比 [OR] 3.95,P = 0.03)和手术室时间(OR 1.01,P = 0.006)明显相关。30 天并发症主要与心血管疾病(OR 2.68,P = 0.04)和融合水平(OR 1.10,P = 0.04)有关。2年并发症与心血管疾病明显相关(OR 2.85,P = 0.02)。30 天再入院与性别(4.47,0.04)和住院时间(χ2 = 0.07,P = 0.04)有明显相关性。2年再入院率与年龄(χ2 = 0.50,P = 0.03)、高血压(χ2 = 4.64,P = 0.03)、翻修手术(χ2 = 5.46,P = 0.02)和住院时间(χ2 = 0.07,P = 0.03)明显相关:本研究发现,患有冠状动脉血管疾病和融合时间较长的患者术后出现并发症的风险较高,术中失血明显的患者术后感染的风险较高。此外,医生应密切关注术后住院时间较长、高龄和接受翻修手术的患者,因为这些患者更有可能再次入院。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
6.20%
发文量
529
审稿时长
4-8 weeks
期刊介绍: The Journal of the American Academy of Orthopaedic Surgeons was established in the fall of 1993 by the Academy in response to its membership’s demand for a clinical review journal. Two issues were published the first year, followed by six issues yearly from 1994 through 2004. In September 2005, JAAOS began publishing monthly issues. Each issue includes richly illustrated peer-reviewed articles focused on clinical diagnosis and management. Special features in each issue provide commentary on developments in pharmacotherapeutics, materials and techniques, and computer applications.
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