Fine-tuning the Predictive Model for Proximal Junctional Failure in Surgically Treated Patients With Adult Spinal Deformity

医学 外科 脊柱畸形 骨盆倾斜 后凸 体质指数 矢状面 截骨术 骨矿物 单变量分析 回顾性队列研究 畸形 内科学 多元分析 骨质疏松症 放射科 骨盆 射线照相术
作者
Mitsuru Yagi,Nobuyuki Fujita,Eijiro Okada,Osahiko Tsuji,Narihito Nagoshi,Takashi Asazuma,Ken Ishii,Masaya Nakamura,Morio Matsumoto,Kota Watanabe
出处
期刊:Spine [Lippincott Williams & Wilkins]
卷期号:43 (11): 767-773 被引量:44
标识
DOI:10.1097/brs.0000000000002415
摘要

Study Design. Multicenter retrospective study. Objective. To validate and improve the predictive model for proximal junctional failure (PJF) with or without the bone mineral density (BMD) score. Summary of Background Data. PJF is a serious complication of surgery for adult spinal deformity (ASD). A predictive model for PJF was recently reported that has good accuracy, but does not include BMD, a known PJF risk factor, as a variable. Methods. We included 145 surgically treated ASD patients who were older than 50 at the time of surgery and had been followed up for at least 2 years. Variables included age, sex, body mass index (BMI), fusion level, upper and lower instrumented vertebral (UIV and LIV) level, primary or revision surgery, pedicle subtraction osteotomy (PSO), Schwab-SRS type, and BMD. PJF was defined as a ≥ 20° increase from baseline (immediately postoperative) of the proximal junctional angle with concomitant deterioration of at least 1 SRS-Schwab sagittal modifier grade, or any proximal junctional kyphosis requiring revision. Decision-making trees were constructed using the C5.0 algorithm with 10 different bootstrapped models, and validated by a 7:3 data split for training and testing; 112 patients were categorized as training and 33 as testing samples. Results. PJF incidence was 20% in the training samples. Univariate analyses showed that BMD, BMI, pelvic tilt (PT), UIV level, and LIV level were PJF risk factors. Our predictive model was 100% accurate in the testing samples with an AUC of 1.0, indicating excellent fit. The best predictors were (strongest to weakest): PT, BMD, LIV level (pelvis), UIV level (lower thoracic), PSO, global alignment, BMI, pelvic incidence minus lumbar lordosis, and age. Conclusion. A successful model was developed for predicting PJF that included BMD. Our model could inform physicians about patients with a high risk of developing PJF in the perioperative period. Level of Evidence: 4

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
王多肉发布了新的文献求助10
1秒前
蓝莓小蛋糕完成签到 ,获得积分10
2秒前
铜锣烧完成签到 ,获得积分10
2秒前
xiaohardy完成签到,获得积分10
5秒前
只想顺利毕业的科研狗完成签到,获得积分0
5秒前
hyishu完成签到,获得积分10
5秒前
kaiqiang完成签到,获得积分0
6秒前
古炮完成签到 ,获得积分10
7秒前
独步天下完成签到,获得积分10
9秒前
Keyuuu30完成签到,获得积分0
11秒前
龙2024完成签到,获得积分10
20秒前
xueshidaheng完成签到,获得积分0
21秒前
新手请多指教完成签到,获得积分10
24秒前
26秒前
认真的月亮完成签到 ,获得积分10
26秒前
const完成签到,获得积分0
31秒前
33秒前
章诚完成签到,获得积分10
34秒前
37秒前
Brief完成签到,获得积分0
38秒前
大胖小子完成签到,获得积分10
38秒前
38秒前
甘sir完成签到 ,获得积分10
38秒前
shineshine完成签到 ,获得积分10
41秒前
研友_nvebxL完成签到,获得积分10
41秒前
欧阳完成签到,获得积分10
42秒前
xcuwlj完成签到 ,获得积分10
42秒前
包美莹完成签到 ,获得积分10
44秒前
BK_201完成签到,获得积分10
47秒前
风信子完成签到,获得积分0
48秒前
Helios完成签到,获得积分0
48秒前
qqshown完成签到,获得积分10
48秒前
abiorz完成签到,获得积分0
49秒前
研友_ZA2B68完成签到,获得积分0
49秒前
lylyspeechless完成签到,获得积分10
49秒前
蓝晶石完成签到,获得积分10
49秒前
egoistMM完成签到,获得积分10
50秒前
窗外是蔚蓝色完成签到,获得积分0
50秒前
JY'完成签到,获得积分0
50秒前
健忘的金完成签到 ,获得积分10
52秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6353178
求助须知:如何正确求助?哪些是违规求助? 8168047
关于积分的说明 17191451
捐赠科研通 5409215
什么是DOI,文献DOI怎么找? 2863646
邀请新用户注册赠送积分活动 1840978
关于科研通互助平台的介绍 1689834