Development and External Validation of a Risk Calculator for Prediction of Major Complications and Readmission After Anterior Cervical Discectomy and Fusion

被引:5
|
作者
Shah, Akash A. [1 ,5 ]
Devana, Sai K. [1 ]
Lee, Changhee [2 ]
Olson, Thomas E. [1 ]
Upfill-Brown, Alexander [1 ]
Sheppard, William L. [1 ]
Lord, Elizabeth L. [1 ]
Shamie, Arya N. [1 ]
van der Schaar, Mihaela [3 ,4 ]
SooHoo, Nelson F. [1 ]
Park, Don Y. [1 ]
机构
[1] UCLA, Dept Orthopaed Surg, David Geffen Sch Med, Los Angeles, CA USA
[2] Chung Ang Univ, Dept Artificial Intelligence, Seoul, South Korea
[3] Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA USA
[4] Univ Cambridge, Dept Appl Math & Theoret Phys, Cambridge, England
[5] UCLA, Dept Orthopaed Surg, David Geffen Sch Med, 10833 Conte Ave 76-116 CHS, Los Angeles, CA 90095 USA
基金
美国国家卫生研究院;
关键词
ACDF; cervical fusion; outcomes; risk calculator; machine learning; readmission; SPINE SURGERY; SPONDYLOTIC MYELOPATHY; OUTCOMES; POSTERIOR; MODELS; TRENDS; MORTALITY; INSIGHTS; IMPACT; HIP;
D O I
10.1097/BRS.0000000000004531
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Study Design.A retrospective, case-control study. Objective.We aim to build a risk calculator predicting major perioperative complications after anterior cervical fusion. In addition, we aim to externally validate this calculator with an institutional cohort of patients who underwent anterior cervical discectomy and fusion (ACDF). Summary of Background Data.The average age and proportion of patients with at least one comorbidity undergoing ACDF have increased in recent years. Given the increased morbidity and cost associated with perioperative complications and unplanned readmission, accurate risk stratification of patients undergoing ACDF is of great clinical utility. Methods.This is a retrospective cohort study of adults who underwent anterior cervical fusion at any nonfederal California hospital between 2015 and 2017. The primary outcome was major perioperative complication or 30-day readmission. We built standard and ensemble machine learning models for risk prediction, assessing discrimination, and calibration. The best-performing model was validated on an external cohort comprised of consecutive adult patients who underwent ACDF at our institution between 2013 and 2020. Results.A total of 23,184 patients were included in this study; there were 1886 cases of major complication or readmissions. The ensemble model was well calibrated and demonstrated an area under the receiver operating characteristic curve of 0.728. The variables most important for the ensemble model include male sex, medical comorbidities, history of complications, and teaching hospital status. The ensemble model was evaluated on the validation cohort (n=260) with an area under the receiver operating characteristic curve of 0.802. The ensemble algorithm was used to build a web-based risk calculator. Conclusion.We report derivation and external validation of an ensemble algorithm for prediction of major perioperative complications and 30-day readmission after anterior cervical fusion. This model has excellent discrimination and is well calibrated when tested on a contemporaneous external cohort of ACDF cases.
引用
收藏
页码:460 / 467
页数:8
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