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Nomograms for Predicting Recurrent Herniation in PETD with Preoperative Radiological Factors
Authors Zhao C , Zhang H , Wang Y , Xu D , Han S , Meng S , Han J , Liu H , Zhou C, Ma X
Received 22 March 2021
Accepted for publication 30 June 2021
Published 9 July 2021 Volume 2021:14 Pages 2095—2109
DOI https://doi.org/10.2147/JPR.S312224
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Krishnan Chakravarthy
Chong Zhao,* Hao Zhang,* Yan Wang, Derong Xu, Shuo Han, Shengwei Meng, Jialuo Han, Houchen Liu, Chuanli Zhou, Xuexiao Ma
Department of Spine Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Xuexiao Ma; Chuanli Zhou
Department of Spine Surgery, The Affiliated Hospital of Qingdao University, No.59 Haier Road, Qingdao, Shandong, 266000, People’s Republic of China
Tel +86 18661807895
; +86 18661809796
Email [email protected]; [email protected]
Purpose: To investigate the preoperative radiological risk factors for recurrent lumbar disc herniation (rLDH) within 1 year after percutaneous endoscopic transforaminal discectomy (PETD).
Patients and Methods: A retrospective case–control study was conducted. Between January 2013 and November 2019, a total of 1210 patients with single-level L4/5 LDH who underwent PETD were enrolled in the present study. In total, 62 rLDH patients were diagnosed and collected based on the clinical and radiological manifestations, and 224 non-rLDH controls were selected from the remaining 1148 patients. Preoperative radiological parameters were collected and measured. An age threshold to distinguish patients into subgroups was established using the Youden index. The relationships between the risk factors and rLDH were evaluated by univariate and multivariate analyses in two subgroups. Predictive models were established based on logistic analysis. The area under the curve (AUC) of receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA) were used to assess the predictive models.
Results: In the present study, logistic analysis identified six significant predictors associated with rLDH in the young group: superior endplate concave angle (ECA), sacral slope, Modic changes, sagittal range of motion (sROM), extension intervertebral angle (IVA), and lumbar lordosis. Four significant predictors were identified in the elderly group: disc height index (DHI), retrolisthesis (posterior spondylolisthesis), sROM, and extension IVA. Validation of both models demonstrated excellent model discrimination (AUC= 0.940 and 0.946, respectively). DCA also showed excellent clinical utility and benefits.
Conclusion: The nomograms that we constructed could accurately predict individual patient recurrence risk. Individualized measures should be taken for patients of different ages with the above risk factors, and tailored postoperative surveillance of patients who underwent PETD can be planned.
Keywords: lumbar disc herniation, percutaneous endoscopic transforaminal discectomy, recurrent LDH, risk factor
Introduction
Percutaneous endoscopic transforaminal lumbar discectomy (PETD) has become a routine surgery for lumbar disc herniation (LDH) because of its definite short-term curative effect, low trauma, and direct access to the focus.1,2 However, 5–20% of patients do not experience a satisfactory curative effect after PETD.3,4 Recurrent lumbar disc herniation (rLDH) is the most common but unpredictable reason for poor PETD outcomes,4–6 and the recurrence rate of PETD was reported to be 0–12.5%.2 The definition of rLDH is a re-herniation of the same segment and ipsilateral intervertebral disc after a complete pain-free period of at least 2 weeks after PETD, causing the corresponding nerve root symptoms.5,7,8
In previous studies, several risk factors have been considered to be associated with rLDH, such as advanced age, smoking, high body mass index (BMI) and waist trauma.7,9,10 In addition to the above clinically related factors, several special radiological factors caught our attention, which may affect the biomechanics and stability of the lumbar spine, thereby increasing the recurrence rate. Unique preoperative radiological characteristics may play an important role in the early prediction and prevention of rLDH, but these characteristics have not been systematically and holistically analyzed. Therefore, we performed a retrospective case–control study to sufficiently identify radiological risk factors associated with rLDH after PETD and to establish prognostic nomograms to predict rLDH risk, which provide detailed evidence-based data for preoperative evaluations and the selection of appropriate operation methods.
Patients and Methods
Study Design
Patients and Parameters
A retrospective case–control study was conducted. Between January 2013 and November 2019, a total of 1210 patients (675 male, 55.79%; 535 female, 44.21%) were reviewed. In total, 62 rLDH patients were identified and collected based on the clinical and radiological manifestations. The preoperative and postoperative imaging data and the endoscopic video data of all rLDH patients have been carefully studied and discussed within the medical team. Consensuses have been reached that the complete removal of the herniated nucleus has been achieved in the first operations. Considering the large number of non-recurrent patients and the huge internal variability among them, a propensity score matching (PSM) was performed to minimize the influence of selection bias and to control potential confounding factors. The PSM analysis matched three variables of sex, BMI, and preoperative symptom duration. Matching was performed using a 1:4 matching protocol (nearest-matching algorithm), with caliper width = 0.2 of the standard deviation of the logit of the propensity score. A total of 224 non-rLDH controls were included in the control group (Figures 1 and 2). Radiological parameters (herniation type, Modic changes, Pfirrmann grade of disc degeneration, lumbosacral transitional vertebrae (LSTV), superior/inferior endplate concave angle (ECA), lumbar lordosis, sacral slope, DHI, retrolisthesis (posterior spondylolisthesis), flexion/extension intervertebral angle (IVA), sROM, and upper/nether vertebral compression) were collected.
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Figure 1 Flow chart of patient inclusion and exclusion. |
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Figure 2 Distribution of propensity scores. |
Inclusion Criteria
The inclusion criteria were as follows: 1) patients with single-level L4/5 LDH who underwent PETD and had postoperative images manifesting complete removal of the protruded disc; 2) patients who experienced a complete symptom-free interval of at least 2 weeks after PETD; 3) patients with ipsilateral re-protrusion of the same segment on MRI; and 4) patients who were regularly followed postoperatively for at least 1 year.
Exclusion Criteria
The exclusion criteria were as follows: 1) intermittent claudication and other obvious symptoms of spinal stenosis; 2) segmental instability; 3) multilevel LDH; 4) vertebral fractures; 5) spinal infection; 6) trauma; 7) tumors; and 8) previous lumbar surgery history.
No patients were lost to follow-up during the study period. All surgeries were performed by the same group of surgeons who had rich clinical surgery experience and were skillful in PETD operation technology. The procedures were approved by the ethics committee of the Affiliated Hospital of Qingdao University.
Measurements of Radiological Features
Lumbar magnetic resonance imaging (MRI), three-dimensional computed tomography (CT) and X-ray, including flexion/extension posture, were performed for all patients before surgery. To eliminate bias, all radiographic parameters were analyzed and confirmed by a spine surgeon and a radiologist. Any disagreement in the grading was discussed until a consensus was achieved.
The Modic changes were classified into 3 types based on the T1/T2-weighted MRI sagittal sequence (Figure 3): type 1 (inflammatory phase) changes are hypointense on T1WI and hyperintense on T2WI; type 2 (fat phase or yellow bone marrow phase) changes are hyperintense on T1WI and hyper- or isointense on T2WI; and type 3 (osteosclerosis phase) changes are hypointense on T1WI and T2WI and are fairly rare.11
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Figure 3 T1WI/T2WI/STIR sequences of preoperative sagittal MRI demonstrated Modic type 2. |
Herniation type was classified into 2 types (protrusion and extrusion) according to the Fardon classification.12 The degree of disc degeneration was assessed on T2WI sagittal sequences according to the modified Pfirrmann grade. Almost all patients suffered moderate to severe disc degeneration; hence, the degree of disc degeneration was classified into four levels (grades 3, 4, 5, and 6). Grades 1 and 2 were not observed in any patients.
LSTV was measured according to three-dimensional CT images of the lumbosacral area (Figure 4) and was classified into 4 types according to the Castellvi classification:13 type I, hypertrophy of transverse processes; type II, incomplete lumbarization/sacralization; type III, complete lumbarization/sacralization; and type IV, mixed findings. In the present study, types I and II were defined as low levels, while types III and IV were defined as high levels.
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Figure 4 LSTV type II in 3-dimensional CT: unilateral incomplete lumbarization/sacralization. |
The flexion IVA, extension IVA, and sROM were measured on flexion/extension posture (Figure 5). IVA is defined as the angle between the upper and lower endplates, and sROM is defined as the difference between extension and flexion IVA. During the filming, the patients were asked to flex and extend as much as possible, and analgesics were used when necessary.
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Figure 5 Measurement of the flexion IVA (A) and extension IVA (B). |
The ECA, namely, the endplate concave angle, is defined as the angle of the endplate concavity (Figure 6). If endplates are partially lacking due to the Schmorl nodes, the endplate arc should be completed according to the adjacent endplate. The superior and inferior ECAs were measured separately.
DHI and the vertebral compression index were measured on the sagittal reconstruction of three-dimensional CT (Figure 7), and the widths of the upper vertebral body (D) and the heights of the disc were measured. The heights of the disc were measured at the anterior (A), middle (B), and posterior (C) edges of the intervertebral space. DHI = (A+B+C)/(3*D). The vertebral compression index was calculated as the ratio of the average height to the width of the vertebrae.
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Figure 7 Measurement of the DHI: The height of the anterior (A), middle (B) and posterior (C) intervertebral space and the width of the upper vertebral body (D) were measured. DHI = (A+B+C)/(3*D). |
Retrolisthesis is defined as backwards slippage of the upper vertebra.14 The retrolisthesis index was measured on the sagittal reconstruction of CT (Figure 8). The backward displacement distance of the upper vertebral body relative to the lower vertebral body (A) and the width of the upper vertebral body (B) were measured, and the retrolisthesis index was calculated as A/B.
Statistical Analysis
The Statistical Package for Social Sciences software for Windows (Ver. 26.0, SPSS Inc, Chicago, IL) and R 3.1.2 (The R Foundation for Statistical Computing, Vienna, Austria) were used for the analysis. The continuous data conformed to a normal distribution by the Kolmogorov–Smirnov test and were expressed as the mean ± standard deviation and tested with Student’s t-test. Categorical data were tested with the chi-square or Fisher exact test, and ranked data were tested with Kendall’s tau test. The variables with P-values less than 0.2 were further incorporated into the multivariable logistic regression analysis. A P-value < 0.05 was considered statistically significant.
Subgroups were divided according to an age threshold determined by receiver operating characteristic (ROC) curve analysis. The cutoff value was determined by the Youden index. The predictive accuracy was evaluated by the AUC and calibration plot, and the model benefit was evaluated by the decision curve.
Results
General Demographic and Radiological Data
The non-rLDH (n=224) and rLDH (n=62) groups were compared. There was no significant difference between the two groups in sex or BMI (P>0.05). The age of the rLDH group ranged from 23 to 79 years (52.1 ±13.7 years), and the mean age of the non-rLDH group was 44.9 ± 14.0 years, which was consistent with the overall patient population. The univariate analysis of baseline demographic and radiologic parameters is summarized in Table 1. Of these factors, age (P<0.001), herniation type (P=0.037), Pfirrmann grade (P=0.022), LSTV (P=0.002), superior ECA (P<0.001), sacral slope (P<0.001), DHI (P=0.003), retrolisthesis (P<0.001), flexion IVA (P<0.001), extension IVA (P=0.007), and sROM (P<0.001) were found to be statistically significant with the incidence of rLDH.
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Table 1 The Characteristics of Total Patients |
Regarding treatment for the 62 patients with rLDH, 7 patients received conservative treatment, 39 underwent revision PETD or percutaneous endoscopic interlaminar discectomy (PEID), and 16 underwent posterior lumbar fusion.
Subgroup Analysis of Radiological Risk Factors
Considering the significant age difference between rLDH and non-rLDH patients, a threshold to distinguish patients was established by the Youden index (Figure 9), and the age threshold was set at 50.5 years. Univariate and multivariate analyses were performed. The results indicated that a higher sROM and lower extension IVA increased the risk of rLDH for all ages. For the young group, superior ECA, Modic changes and lumbar lordosis were special factors for rLDH, while retrolisthesis and DHI were special risk factors in the elderly group (Tables 2–5).
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Table 2 The Characteristics of Patients in the Young Group |
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Table 3 The Logistic Analysis of Patients in the Young Group |
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Table 4 The Characteristics of Patients in the Old Group |
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Table 5 The Logistic Analysis of Patients in the Old Group |
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Figure 9 Optimal threshold point of age ROC curve. |
Establishment and Evaluation of the Predictive Models
Predictive models were established, and nomograms were built based on radiological factors selected by logistic regression (Tables 3 and 5; Figures 10 and 11). As a comparison, a logistic regression model for all ages was tried to established, and the AUC of this model was 0.895 (95% CI: 0.846–0.943), while that of the two subgroup models was 0.940 (95% CI: 0.880–0.999) and 0.931 (95% CI: 0.873–0.988), which showed the reasonability of subgroup analysis. The calibration plots indicated that the predicted probability and actual recurrence fit well (Figure 12), and the DCA curves showed that the models adjusted by subgroup analysis had better net benefits than the original model (Figure 13).
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Figure 10 Nomogram for predicting recurrence risk in the young group (age < 50.5 years). |
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Figure 11 Nomogram for predicting recurrence risk in the old group (age > 50.5 years). |
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Figure 12 Calibration curve of the young group model (A) and the old group model (B). |
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Figure 13 Decision curve of the young group model (A) and the old group model (B). |
From December 2019 to December 2020, 13 rLDH patients and 50 non-rLDH patients were collected as the testing cohort. Patients with a predicted recurrence probability greater than 50% were defined as high-risk patients. Overall, 77% (10/13) of the patients in the rLDH group were assessed as high-risk patients, while in the non-rLDH group, this value was 38% (19/50). At the same time, all patients (6 cases) with a predicted recurrence probability greater than 80% suffered rLDH, which indicates the good predictive performance of the predictive models.
Discussion
This study aimed to explore the risk of each preoperative special radiological characteristic on the recurrence rate of patients who underwent PETD. Some factors, such as disc degeneration grade, DHI, and sROM, have been reported to be associated with rLDH. However, no consensus has been reached yet. We suspect that the differences were related to the age distribution of the subjects in these studies. When age increases, intervertebral disc degeneration occurs and is accompanied by hyperplasia of the intervertebral joint, spinal stenosis, and secondary potential instability.15–17 In addition, Wu et al18 proposed that advanced age (>40 years) itself was a predisposing factor for rLDH. Therefore, PETD may be a compatible choice for young patients but has limitations for elderly patients.
Retrolisthesis
Spondylolisthesis is a common degenerative change and is generally defined as an anterior or posterior translation of a superior vertebra relative to a neighboring inferior vertebra in the sagittal plane. The incidence of spondylolisthesis in the middle-aged population reaches 17%, of which retrolisthesis accounts for the majority.19 A series of studies have shown that retrolisthesis may be present in up to 30% of chronic low back pain patients.20 However, the systematic study of retrolisthesis is insufficient due to its special type and less incidence of lumbar spinal stenosis. Retrolisthesis may adversely affect the biomechanics of the disc and cause potential lumbar instability, thereby increasing the risk of rLDH.
With the application of new tools such as large-diameter endoscopes, reamers and ultrasonic osteotomes, the indication for PETD has been extended to a certain degree, and nearly complete decompression can be achieved, yet the stability of the local biomechanical structure may inevitably be weakened. Our results showed that the high rate of retrolisthesis in the elderly group had a significant effect on rLDH, but no statistical significance was shown in the young group. There are two possible explanations. First, in the presence of retrolisthesis, the stress of the lumbar spine is concentrated toward the posterior edge of the disc, promoting the nucleus pulposus to protrude again. In addition, due to compensatory articular hypertrophy and spinal canal stenosis after retrolisthesis, it is unavoidable to remove a larger part of the upper articular process to obtain complete decompression, which is likely to cause iatrogenic segmental instability.
However, for LDH patients with stable retrolisthesis and contraindications to lumbar fusion, PETD surgery may have a higher recurrence rate, but it still has prominent advantages over traditional open surgery. This fact requires surgeons to formulate a personalized plan before operations, such as minimizing the destruction of the articular process and placing the working channels horizontally and close to the center line to the greatest extent to thoroughly deal with the intervertebral space.
sROM and Extension IVA
SROM is considered a risk factor for rLDH because it may cause intervertebral space instability.10 Kim et al10 reported that the postoperative recurrence rate was only 4.1% when sROM < 10°, and the postoperative recurrence rate was as high as 26.5% when sROM > 10°, which suggested a strong association between high sROM and rLDH. In the present study, sROM and extension IVA were both independent risk factors for rLDH in both subgroups. ROC analysis (Figure 14) suggested that for the young group, sROM contributed more to the predictive ability of the model than that for the elderly group. This result may be explained by the degeneration of the lumbar curvature and the hypertrophy of the articular processes in the elderly group, which contribute to reduce the relative intervertebral mobility; as a result, the impact of sROM on rLDH was less important.
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Figure 14 ROC curves of the predictive models (A) young group; (B) old group). |
In addition, we noticed that in all 21 patients with NFIVA (negative flexion intervertebral angle, flexion intervertebral angle≤0, Figure 15), 17 had rLDH (81.0%). In the subgroup analysis, 4 in 15 with NFIVA (26.7%) had rLDH in the young group, and 6 in 6 with NFIVA (100%) had rLDH in the elderly group, suggesting that NFIVA, or segmental kyphosis, of the intervertebral space could be a strong risk factor for rLDH, particularly in elderly individuals. Given this result, we recommend that for elderly patients with preoperative NFIVA, PETD surgery must be performed with great caution, while the postoperative recovery period should be relatively extended to minimize the possibility of recurrence.
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Figure 15 Negative flexion intervertebral angle. |
Endplate Concave Angle (ECA)
The vertebral endplate is composed of trabecular bone layers, which provide nutrition to intervertebral discs and undertake pressure from above. A series of studies have suggested a correlation between morphological changes in endplates and lumbar disc degeneration.21,22 As the degeneration of the intervertebral disc worsens, the axial stress on the endplate of the vertebral body gradually shifts from the central area to the periphery, leading to the absorption and remodeling of the surrounding endplate, which in turn compresses the periphery of the vertebral body and causes the endplate to become flatter; hence, the axial stress is dispersed. In this way, the degree of endplate concavity significantly affects the axial stress exerted on the intervertebral disc.21 Therefore, the flattening of the endplate may be a self-protective mechanism, and ECA may be a sensitive factor reflecting the degree of intervertebral disc degeneration to a certain extent.
In the present study, superior ECA was identified as an independent risk factor in the young group, but no statistical significance was shown in the elderly group. We hypothesize that because of the generally severe degeneration of intervertebral discs in the elderly group, which exceeded the compensatory effect of ECA, the intragroup difference in ECA in the elderly group was statistically insignificant. In particular, in the young group, the mean value of superior ECA (165.89 ± 9.63) of rLDH patients was much higher than that of non-rLDH patients (160.06 ± 8.23) but was close to that in the whole elderly group (164.96 ± 7.03), which supported our hypothesis.
Herniation Type
Depending on the amount of disc herniation, herniated discs can be classified as protrusions or extrusions according to Fardon’s classification. Generally, due to the small working space of the operation, the narrow field of vision, and the blind zones around the working channel,23 the treatment of the protrusion type is not as thorough as that of the extrusion type; hence, the protrusion type of herniation may be a risk factor for rLDH. Studies by Kim et al24 reported that the recurrence rate of minimally invasive surgery for LDH whose pathological type was protrusion reached 15.9%, while the postoperative recurrence rate of extrusion was 3.7%. However, in the present study, herniation type was not a risk factor for rLDH in the two subgroups. With the application of new tools such as large outer-diameter working channels, the surgical area can be fully exposed, the protrusion can be almost completely removed, and the intervertebral space can be fully treated, which significantly reduces the recurrence rate. This may be the reason why the protrusion type of herniation was not a significant risk factor in our research.
Modic Changes
In previous studies,24–27 preoperative Modic change suggested a trend toward a negative correlation with clinical improvement in patients undergoing PETD. In the present study, a significant relationship between disc degeneration grade and Modic changes was found (P=0.003), suggesting that Modic changes may accelerate disc degeneration. At the same time, there was a strong correlation between Modic changes and rLDH in the young group, but there was no significant correlation in the elderly group, suggesting that Modic changes had a greater impact on the less degenerated intervertebral discs. A possible explanation is that Modic changes reflect a reactive vertebral modification related to disc inflammation and an unstable microenvironment, which affects the less degenerated intervertebral discs more, thus leading to a higher risk of rLDH. For elderly patients, due to the hyperostosis and marginal sclerosis of intervertebral discs, local inflammation is no longer an important factor in rLDH; thus, Modic changes have no effect on rLDH.
DHI
DHI is considered related to the degeneration of the intervertebral disc and the stability of the lumbar spine, which affects the development of rLDH.10,28,29 When the intervertebral disc is severely degenerated, the intervertebral space collapses, resulting in a decrease in intervertebral motion, which may lead to local stabilization of the intervertebral space and reduce the risk of rLDH. Hasegawa et al29 reported that degenerated segments that retain the height of the intervertebral disc were potentially unstable compared to segments with collapsed intervertebral discs.
In the present study, the recurrence rate of patients with high DHI in the elderly group was significantly higher, but this was not seen in the young group. This result may be explained by the relatively fine condition of the intervertebral discs in the young group. Kirkaldy-Willis and Farfan28 proposed the concept of disc degeneration progression, which includes three stages: dysfunction, instability and restabilization. For young patients, the degeneration of the intervertebral disc is less severe and has not yet reached a level that significantly affects the disc height; therefore, the disc height is generally preserved. There was no instability-restabilization process in the intervertebral spaces of young patients. Therefore, DHI was not a significant risk factor for young patients.
Lumbosacral Transitional Vertebrae (LSTV)
LSTV is a spinal deformity referring to a total or partial unilateral or bilateral fusion of the transverse process of the lowest lumbar vertebra to the sacrum,13 which is common in the general population. Several studies have suggested that LSTV has a significant effect on lumbar disc herniation in adolescents by changing the anatomical structure and biomechanical conduction of the lumbosacral region.30,31 Although still uncertain, the presence of an LSTV may accelerate disc degeneration because the contact between the transverse process and the sacrum may compensatively lead to a larger range of motion of the segment above the LSTV, increasing the stress of the intervertebral discs and the instability of the lumbar segment, which leads to rLDH.31 However, in the present study, the presence of an LSTV was not an independent risk factor in either subgroup. The relationship between LSTV and rLDH may be more complicated and needs further research.
Predictive Models and Nomograms
In this study, we established predictive models according to subgroup analysis. In the young group, Modic changes had a significant impact, while DHI and retrolisthesis showed little influence, in contrast to the findings in the elderly group. These findings indicated that for young patients, the inflammatory reaction of the intervertebral space and disorder of the local microenvironment could be the primary threat leading to rLDH, and for elderly patients, height preservation of the lumbar spine or biomechanical changes of the intervertebral space could increase the risk of rLDH. Judging from the performance of sROM and the extension of the intervertebral angle in both models, the increased mobility of the lumbar spine posed a threat to the surgical effect at all ages.
Limitations of the Study
This study had several limitations. As a retrospective nonrandomized case–control study, the number of positive individuals was relatively small, and the radiological data were measured manually by researchers, with an unavoidable subjective bias. In addition, the postoperative follow-up time was relatively short in this study, and the long-term recurrence rate remains to be studied further. Therefore, a larger population would be better to modify and validate the predictive model. Future studies, especially randomized controlled trials, are needed to verify the results.
Conclusions
This is the first study to develop a screening tool to identify patients at risk for rLDH after PETD. With further validation, this tool can be readily implemented in clinical practice, and tailored postoperative surveillance of patients who underwent PETD can be planned.
Ethics Approval and Consent to Participate
This study was approved by the ethics committee of the Affiliated Hospital of Qingdao University. Written informed consent was obtained from all participants. Meanwhile, all personal details were erased before analysis to cover patient data and comply with the Declaration of Helsinki.
Consent for Publication
All authors have confirmed that the content can be published, and agreed to submit it for consideration for publication in the journal.
Acknowledgments
Special thanks go to all staff of the Orthopedic Medical Center of the Affiliated Hospital of Qingdao University for their support and selfless dedication. Chong Zhao and Hao Zhang contributed equally to this work. Xuexiao Ma and Chuanli Zhou should be both considered as the corresponding authors.
Funding
This work was supported by grants from the National Natural Science Foundation of China (81672200 and 81871804) and the National Key Research and Development Project (CN) (2019YFC0121400).
Disclosure
The authors report no conflicts of interest in this work.
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