To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery

Abstract The ossification of the posterior longitudinal ligament (OPLL) in the cervical spine is commonly observed in degenerative changes of the cervical spine. Early detection of cervical OPLL and prevention of postoperative complications are of utmost importance. We gathered data from 775 patient...

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Main Authors: Jichong Zhu, Qing Lu, Xinli Zhan, Shengsheng Huang, Chenxing Zhou, Shaofeng Wu, Tianyou Chen, Yuanlin Yao, Shian Liao, Chaojie Yu, Binguang Fan, Zhenwei Yang, Wenfei Gu, Yihan Wang, Wendi Wei, Chong Liu
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-36992-7
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author Jichong Zhu
Qing Lu
Xinli Zhan
Shengsheng Huang
Chenxing Zhou
Shaofeng Wu
Tianyou Chen
Yuanlin Yao
Shian Liao
Chaojie Yu
Binguang Fan
Zhenwei Yang
Wenfei Gu
Yihan Wang
Wendi Wei
Chong Liu
author_facet Jichong Zhu
Qing Lu
Xinli Zhan
Shengsheng Huang
Chenxing Zhou
Shaofeng Wu
Tianyou Chen
Yuanlin Yao
Shian Liao
Chaojie Yu
Binguang Fan
Zhenwei Yang
Wenfei Gu
Yihan Wang
Wendi Wei
Chong Liu
author_sort Jichong Zhu
collection DOAJ
description Abstract The ossification of the posterior longitudinal ligament (OPLL) in the cervical spine is commonly observed in degenerative changes of the cervical spine. Early detection of cervical OPLL and prevention of postoperative complications are of utmost importance. We gathered data from 775 patients who underwent cervical spine surgery at the First Affiliated Hospital of Guangxi Medical University, collecting a total of 84 variables. Among these patients, 144 had cervical OPLL, while 631 did not. They were randomly divided into a training cohort and a validation cohort. Multiple machine learning (ML) methods were employed to screen the variables and ultimately develop a diagnostic model. Subsequently, we compared the postoperative outcomes of patients with positive and negative cervical OPLL. Initially, we compared the advantages and disadvantages of various ML methods. Seven variables, namely Age, Gender, OPLL, AST, UA, BMI, and CHD, exhibited significant differences and were used to construct a diagnostic nomogram model. The area under the curve (AUC) values of this model in the training and validation groups were 0.76 and 0.728, respectively. Our findings revealed that 69.2% of patients who underwent cervical OPLL surgery eventually required elective anterior surgery, in contrast to 86.8% of patients who did not have cervical OPLL. Patients with cervical OPLL had significantly longer operation times and higher postoperative drainage volumes compared to those without cervical OPLL. Interestingly, preoperative cervical OPLL patients demonstrated significant increases in mean UA, age, and BMI. Furthermore, 27.1% of patients with cervical anterior longitudinal ligament ossification (OALL) also exhibited cervical OPLL, whereas this occurrence was only observed in 6.9% of patients without cervical OALL. We developed a diagnostic model for cervical OPLL using the ML method. Our findings indicate that patients with cervical OPLL are more likely to undergo posterior cervical surgery, and they exhibit elevated UA levels, higher BMI, and increased age. The prevalence of cervical anterior longitudinal ligament ossification was also significantly higher among patients with cervical OPLL.
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spelling doaj.art-9561848e1cab46ac96397e561f3be2c02023-06-18T11:12:39ZengNature PortfolioScientific Reports2045-23222023-06-0113111410.1038/s41598-023-36992-7To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgeryJichong Zhu0Qing Lu1Xinli Zhan2Shengsheng Huang3Chenxing Zhou4Shaofeng Wu5Tianyou Chen6Yuanlin Yao7Shian Liao8Chaojie Yu9Binguang Fan10Zhenwei Yang11Wenfei Gu12Yihan Wang13Wendi Wei14Chong Liu15The First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityThe First Affiliated Hospital of Guangxi Medical UniversityAbstract The ossification of the posterior longitudinal ligament (OPLL) in the cervical spine is commonly observed in degenerative changes of the cervical spine. Early detection of cervical OPLL and prevention of postoperative complications are of utmost importance. We gathered data from 775 patients who underwent cervical spine surgery at the First Affiliated Hospital of Guangxi Medical University, collecting a total of 84 variables. Among these patients, 144 had cervical OPLL, while 631 did not. They were randomly divided into a training cohort and a validation cohort. Multiple machine learning (ML) methods were employed to screen the variables and ultimately develop a diagnostic model. Subsequently, we compared the postoperative outcomes of patients with positive and negative cervical OPLL. Initially, we compared the advantages and disadvantages of various ML methods. Seven variables, namely Age, Gender, OPLL, AST, UA, BMI, and CHD, exhibited significant differences and were used to construct a diagnostic nomogram model. The area under the curve (AUC) values of this model in the training and validation groups were 0.76 and 0.728, respectively. Our findings revealed that 69.2% of patients who underwent cervical OPLL surgery eventually required elective anterior surgery, in contrast to 86.8% of patients who did not have cervical OPLL. Patients with cervical OPLL had significantly longer operation times and higher postoperative drainage volumes compared to those without cervical OPLL. Interestingly, preoperative cervical OPLL patients demonstrated significant increases in mean UA, age, and BMI. Furthermore, 27.1% of patients with cervical anterior longitudinal ligament ossification (OALL) also exhibited cervical OPLL, whereas this occurrence was only observed in 6.9% of patients without cervical OALL. We developed a diagnostic model for cervical OPLL using the ML method. Our findings indicate that patients with cervical OPLL are more likely to undergo posterior cervical surgery, and they exhibit elevated UA levels, higher BMI, and increased age. The prevalence of cervical anterior longitudinal ligament ossification was also significantly higher among patients with cervical OPLL.https://doi.org/10.1038/s41598-023-36992-7
spellingShingle Jichong Zhu
Qing Lu
Xinli Zhan
Shengsheng Huang
Chenxing Zhou
Shaofeng Wu
Tianyou Chen
Yuanlin Yao
Shian Liao
Chaojie Yu
Binguang Fan
Zhenwei Yang
Wenfei Gu
Yihan Wang
Wendi Wei
Chong Liu
To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
Scientific Reports
title To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
title_full To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
title_fullStr To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
title_full_unstemmed To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
title_short To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
title_sort to infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
url https://doi.org/10.1038/s41598-023-36992-7
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