Risk Factors in the Prediction of Leg Numbness after Spinal Endoscopic Surgery: Evaluation and Development of a Nomogram

Yi, Ming; Wang, Wenjun; Pan, Shixin; Huang, Shengsheng; Sun, Xuhua; Chen, Liyi; Liu, Chong; Zhan, Xinli

doi:https://doi.org/10.1155/2022/9502749

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Abstract Introduction Materials and Methods Results Discussion Conclusion Data Availability Ethical Approval Consent Conflicts of Interest Authors’ Contributions References Copyright Related Articles

Research Article | Open Access

Volume 2022 | Article ID 9502749 | https://doi.org/10.1155/2022/9502749

Risk Factors in the Prediction of Leg Numbness after Spinal Endoscopic Surgery: Evaluation and Development of a Nomogram

Ming Yi,^1,2Wenjun Wang,³Shixin Pan,⁴Shengsheng Huang,¹Xuhua Sun,¹Liyi Chen,¹Chong Liu,¹and Xinli Zhan¹

Academic Editor: Ajoy Prasad Shetty

Received16 Jun 2022

Revised07 Oct 2022

Accepted20 Oct 2022

Published08 Nov 2022

Abstract

Purpose. This study aims at constructing a clinical predictive model that predicted the risk factors for leg numbness after spinal endoscopic surgery. Methods. We collected the clinical data of patients, including general information, imaging parameters, and clinical score, from our hospital’s electronic database. Based on the postoperative leg numbness visual analog scale (LN-VAS), the clinical data were divided into the leg numbness group (≥25) and the improvement group (<25). All parameters were included in the least absolute shrinkage and selection operator (LASSO) regression analysis, while the parameters with the area under the curve (AUC) greater than 0.7 were selected to construct nomograms. Furthermore, the accuracy and validity of the model were evaluated using the C-index, decision curve analysis (DCA), calibration curve, and receiver operating characteristic curve (ROC). Results. A total of 73 patients’ clinical data were included in the training set, where 51 patients were assigned to the improvement group and 22 to the leg numbness group. The nomogram was constructed using four selected parameters, including symptom duration, lumbar spinal stenosis (LSS), pelvic incidence (PI), and preoperative low back pain visual analog scale (LBP-VAS). The nomogram predictions were found to range between 0.01 and 0.99. The values of the C-index, AUC, and internally validated C-index were 0.96, 0.96, and 0.94, respectively. Our result showed that the clinical net benefit of the nomogram ranged between 0.01 and 0.99. Conclusion. Our clinical prediction model demonstrated high predictive ability and clinical validity. Moreover, we found that symptom duration, LSS, PI, and preoperative LBP-VAS were the predictive risk factors for leg numbness after spinal endoscopic surgery.

1. Introduction

Recently, endoscopic spinal surgery has been developing rapidly due to its advantages of less trauma, less bleeding, and shorter hospital stay [1]. It has achieved good results in common single-segment L4/L5 or L5/S1 intervertebral disc herniation [2]. Additionally, spinal endoscopic treatment was reported to display good results in multisegment lumbar disc herniation [3]. The surgical approach to spinal endoscopy is usually divided into two types, namely, the intervertebral foraminal and the interlaminar approaches [4, 5]. Regardless of the surgical approach, leg numbness after spinal endoscopic surgery is common [6].

Despite the several advantages of spinal endoscopy, some postoperative complications of leg numbness are still observed in a few patients [7]. Toyoda et al. performed a cluster analysis on patients, and found that despite an improvement after spinal endoscopic surgery, cluster 4 patients retained severe leg numbness, postoperatively [8]. Yan et al. showed that patients with central disc herniation displayed a longer duration of leg numbness after spinal endoscopic surgery than patients with paracentral disc herniation [9]. Ogura et al. showed that 60% of patients retained leg numbness after spinal endoscopic surgery [10]. Although a few studies have reported risk factors for leg numbness after spinal endoscopic surgery, such reports were based on traditional statistical analyses and not the construction of clinical predictive models [9]. Ogura et al. conducted a study based on multivariate logistic regression analysis, which revealed durotomy, diabetes mellitus, and preoperative numbness to be the risk factors for postoperative leg numbness [10].

In this study, we constructed a clinical prediction model to investigate the risk factors for leg numbness after spinal endoscopic surgery. Additionally, we used C-index, calibration curve, ROC curve, and DCA curve to further evaluate the diagnostic ability and clinical validity of the model. Our nomogram can be considered useful as a new clinical prediction tool.

2. Materials and Methods

Clinical data for this study were collected between January 2021 and December 2021. The inclusion criteria for lumbar disc herniation were as follows: (1) lower back and lower extremity pain, (2) a positive result in the straight leg raising test, (3) imaging results confirming the nucleus pulposus herniation and compression of the nerve, and (4) patients showing no improvement after half a year of conservative treatment. The exclusion criteria were as follows: (1) lumbar instability, (2) lumbar spine tumors, (3) lumbar tuberculosis, and (4) infectious diseases of the spine. All patients displayed L4/L5 disc herniation and unilateral nerve root compression. To confirm the presence of nerve damage in the lower extremities, nerve conduction studies were performed in all patients before and after surgery. According to the postoperative leg numbness VAS, patients were divided into two groups, namely, the leg numbness (≥ 25) and the improvement group (< 25). Our study used LN-VAS, which is a visual pain analog scale (0-100 mm horizontal analog scale) commonly used for leg numbness. Several reports in the literature have also evaluated the efficacy of LN-VAS after spinal endoscopic surgery [7, 9, 11].

2.1. Data Collection

All patients’ data were obtained from our hospital’s electronic database and imaging system. First, we collected the general information, including gender, body mass index (BMI), hypertension, diabetes, and symptom duration. Next, we gathered the patients’ imaging parameters, including lumbar disc grade, degree of LSS, endplate disease grade, degree of endplate disease, lumbar lordosis angle, pelvic incidence, lumbar spondylolisthesis, adjacent lumbar disc grade, and lumbar scoliosis. Finally, we collected the patients’ clinical scores, including preoperative and postoperative JOA, preoperative and postoperative LBP-VAS, preoperative and postoperative leg pain VAS (LP-VAS), and preoperative and postoperative LN-VAS. Previously reported literature was used to refer to the criteria for grading clinical data, which included the degree of LSS, degree of endplate disease, LBP-VAS, LP-VAS, and LN-VAS [11–13].

2.2. Statistical Analysis

R software (version 4.1) and SPSS software (version 28.0) were used for statistical analysis and plotting of the data. The clinical scores were jointly calculated by two senior surgeons from the spinal department, while the imaging measurements were jointly decided by two senior physicians from the imaging department. A value of less than 0.05 was considered statistically significant.

3. Results

We collected the clinical data from a total of 102 patients undergoing spinal endoscopic treatment in our hospital. In this study, we performed a follow-up period of 6 months to 12 months after endoscopic surgery. In the training set, 22 patients retained leg numbness after surgery (leg numbness group), while 51 patients showed no obvious leg numbness after surgery (improvement group) (Table 1). These patients had leg numbness before surgery. In the external validation set, 10 patients retained leg numbness after surgery, while 19 patients showed no obvious leg numbness after surgery. To obtain the smallest binomial deviance (Figure 1) and the optimal lambda value (Figure 2), all parameters were included in the LASSO regression analysis. Under the optimal lambda value conditions, seven nonzero coefficient parameters were fitted, which were included in the ROC curve analysis. Here, the parameters with AUC greater than 0.7, including symptom duration, LSS, PI, and preoperative LBP-VAS, were selected to construct a nomogram (Figure 3).

The nomogram indicated that the prediction of postoperative leg numbness ranged between 0.01 and 0.99 (Figure 4), while the C-index was found to be as high as 0.96. The calibration curve showed a similarity in both observed and ideal values (Figure 5). Additionally, the ROC curve showed the AUC of the nomogram to be as high as 0.96, indicating a strong diagnostic ability of the predictive model (Figure 6). Our results showed that the clinical net benefit of the nomogram ranged between 0.01 and 0.99 (Figure 7). Furthermore, the internal validation results demonstrated that the C-index of the nomogram was as high as 0.94, which was very close to the C-index of 0.96 in the training set. Interestingly, the model in the external validation set also displayed a good predictive ability (Figure 8(a)). Moreover, the ideal value of the calibration curve was close to the actual observed value (Figure 8(b)). The AUC of the ROC curve and C-index both showed a value of 0.884 (Figure 8(c)). Further, internal verification showed that the C-index was as high as 0.747, while the DCA curve indicated the clinical validity of the predictive model to range between 0.01 and 0.77 (Figure 8(d)).

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Furthermore, the surgical approach for all data was divided into transforaminal and interlaminar approaches. In the transforaminal approach, symptom duration, LSS, PI, and preoperative LBP-VAS were used as predictors to construct the clinical prediction model (Figure 9(a)). The bias-correction curve was found to be very close to the ideal curve (Figure 9(b)). The AUC and C-index of the prediction model both showed a value of 0.908 (Figure 9(c)). Interestingly, the internal verification of C-index was found to be 0.850, while the DCA curve indicated a clinical efficacy ranging between 0.01 and 0.85 (Figure 9(d)). In the interlaminar approach, the nomogram was constructed using the same four parameters as in transforaminal approach. This nomogram also displayed a good predictive ability (Figure 10(a)). The calibration curve showed that the predicted value of the model was very close to the ideal value (Figure 10(b)). The AUC and C-index of the nomogram both showed a value of 0.976 (Figure 10(c)). Interestingly, the internal verification of the C-index value was 0.942, while the DCA curve indicated a clinical efficacy ranging between 0.01 and 0.99 (Figure 10(d)).

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4. Discussion

Recently, endoscopic spinal surgery has been vastly favored by young patients with intervertebral disc herniation [14]. Compared to traditional open surgery, endoscopic spinal surgery displays the advantages of less trauma, less bleeding, and shorter hospital stays [1]. Although the validity of spinal endoscopic surgery is remarkable, the complications of postoperative leg numbness cannot be ignored [15]. Most of the previous studies conducted on the validity and risk factors of spinal endoscopic surgery are based on traditional statistical analysis. Hence, we used a novel clinical prediction model to study the risk factors of spinal endoscopic surgery. First, we analyzed all the parameters using LASSO regression. The optimal lambda values obtained by controlling the parameters with nonzero coefficients were used to construct a clinical prediction model. Next, the accuracy and validity of the model were evaluated using the C-index, ROC curve, DCA curve, and calibration curve.

Our results revealed symptom duration to be a predictor of leg numbness after spinal endoscopic surgery. The longer the symptom duration, the higher the probability of predicting leg numbness. In an analysis of 241 patients with postoperative complications after spinal endoscopic surgery, Shen et al. observed retained leg numbness in 176 patients. These patients displayed a common longer symptom duration, ranging from to months [16]. A longer symptom duration in patients indicated that the nerve root was compressed for a long time, and even after the surgery to relieve nerve compression, the recovery time taken by such patients was longer compared to patients with shorter symptom duration. This may be the reason for some patients retaining leg numbness after spinal endoscopy surgery. However, with the extension of follow-up time, the complications of leg numbness were alleviated gradually or even disappeared eventually. In our study, symptom duration exerted an effect on postoperative leg numbness and was considered its predictor.

LSS was also found to be a predictor of leg numbness after spinal endoscopic surgery. The higher the grade of LSS, the higher the probability of predicting leg numbness. Ogura et al. showed that patients with lumbar spinal stenosis who underwent spinal endoscopic surgery were less satisfied and also complained of residual leg numbness after surgery [17]. Similarly, Yamamoto et al. showed that the leg numbness VAS in the unsatisfactory patients after LSS surgery was as high as , while the leg numbness VAS in the satisfied patients was , with both groups showing a statistically significant difference [18]. The literature has reported seven cases of nerve root damage and two cases of residual numbness in patients with severe spinal stenosis who underwent spinal endoscopy [19]. Interestingly, our study identified LSS as a risk factor for postoperative leg numbness, suggesting that surgeons should properly communicate with patients before performing LSS surgery.

Furthermore, PI was found to be a predictor of leg numbness after spinal endoscopic surgery. The higher the PI, the higher the probability of predicting leg numbness. Only a few studies have reported an association between PI and leg numbness, with a positive correlation between PI and lumbar lordosis [20]. Moreover, when the matching relationship between PI-LL was maintained, patients achieved the best surgical results after spinal surgery [21]. Increased lumbar lordosis can result in a loss of posterior intervertebral space height and reduced foraminal volume, which can be the cause of leg numbness. After surgery, segmental lordosis showed an improvement of 29%, while foraminal height increased from 7.7% to 29.9% [22]. After restoring the height of the intervertebral space, the volume of the intervertebral foramen increased by 39.6%, resolving the leg numbness caused by nerve root compression [23]. In addition, spinal sagittal imbalance caused by degenerative scoliosis also caused leg numbness and PI-LL was found to be significantly positively correlated with SVA , ) [24]. The study of Aoki et al. also found that PI-LL was significantly correlated with the occurrence of leg numbness after spinal endoscopy, which indicated that PI-LL mismatch would affect the symptoms of leg numbness after surgery [25]. Therefore, before undergoing spinal endoscopic surgery, attention should be paid to patients with reduced foraminal volume caused due to increased PI.

Preoperatively, LBP-VAS is considered a predictor of leg numbness after spinal endoscopic surgery. Taiji et al. showed the leg numbness VAS to be as high as 61.4 to 65.2 in patients with lower back pain after endoscopic spinal surgery [11]. A multiple logistic regression study also showed preoperative lower back pain to be a risk factor () for postoperative lower back pain [11]. A herniated disc destroys the annulus fibrosus, releasing chemicals that irritate the sinus nerve and cause lower back pain [26]. In addition, a herniated disc compresses the nerve roots directly, resulting in leg numbness [27]. Therefore, disc herniation often causes lower back pain and leg numbness. Since the nerves of patients with preoperative lower back pain are already compressed, the severity of the nerve compression displays more obvious symptoms of lower back pain. Although spinal endoscopic surgery relieved nerve compression, the nerve roots took a longer time to recover in patients already having severe low back pain. Therefore, some patients still showed leg numbness after spinal endoscopic surgery. Our results also showed that the higher the preoperative LBP-VAS, the higher the probability of predicting leg numbness, which was consistent with the mentioned studies.

However, our study had some limitations since it included single-center data. Studies with multicenter data may be required for further validation.

5. Conclusion

We constructed a clinical prediction model to predict leg numbness after endoscopic surgery, which exhibited high accuracy and practicability. Our study revealed that symptom duration, LSS, PI, and preoperative LBP-VAS were the risk factors predicting leg numbness after spinal endoscopic surgery.

Data Availability

The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding authors.

Ethical Approval

All procedures were performed in accordance with relevant guidelines. This paper has been approved by the ethics committee of The First Affiliated Hospital of Guangxi Medical University. Written informed consent of patients has been obtained for this study.

Patient provided consent for publication of the data and images.

Conflicts of Interest

All authors declare no conflicts of interest.

Authors’ Contributions

Ming Yi wrote the article and prepared figures and tables.

References

J. Y. Pang, F. Tan, W. W. Chen et al., “Comparison of microendoscopic discectomy and open discectomy for single-segment lumbar disc herniation,” World Journal of Clinical Cases, vol. 8, no. 14, pp. 2942–2949, 2020.
View at: Publisher Site | Google Scholar
X. Sang, H. Shan, J. Hu, and M. Wu, “The efficacy of bilateral intervertebral foramen block for pain management in percutaneous endoscopic lumbar discectomy: a protocol for randomized controlled trial,” Medicine, vol. 99, no. 41, article e22693, 2020.
View at: Google Scholar
K. Li, T. Zhang, K. Gao, and C. L. Lv, “The utility of diagnostic transforaminal epidural injection in selective percutaneous endoscopic lumbar discectomy for multilevel disc herniation with monoradicular symptom: a prospective randomized control study,” World Neurosurgery, vol. 126, pp. e619–e624, 2019.
View at: Publisher Site | Google Scholar
J. Xue, H. Chen, B. Zhu et al., “Percutaneous spinal endoscopy with unilateral interlaminar approach to perform bilateral decompression for central lumbar spinal stenosis: radiographic and clinical assessment,” BMC Musculoskeletal Disorders, vol. 22, no. 1, p. 236, 2021.
View at: Publisher Site | Google Scholar
Y. Ahn, B. Yoo, and J. Jung, “The irony of the transforaminal approach: a comparative cohort study of transforaminal endoscopic lumbar discectomy for foraminal versus paramedian lumbar disc herniation,” Medicine, vol. 100, no. 40, article e27412, 2021.
View at: Google Scholar
X. Chen, R. Qin, J. Hao et al., “Percutaneous endoscopic decompression via transforaminal approach for lumbar lateral recess stenosis in geriatric patients,” International Orthopaedics, vol. 43, no. 5, pp. 1263–1269, 2019.
View at: Publisher Site | Google Scholar
H. Oba, T. Tsutsumimoto, M. Yui et al., “A prospective study of recovery from leg numbness following decompression surgery for lumbar spinal stenosis,” Journal of orthopaedic science, vol. 22, no. 4, pp. 670–675, 2017.
View at: Publisher Site | Google Scholar
H. Toyoda, K. Yamada, H. Terai et al., “Classification and prognostic factors of residual symptoms after minimally invasive lumbar decompression surgery using a cluster analysis: a 5-year follow-up cohort study,” European Spine Journal, vol. 30, no. 4, pp. 918–927, 2021.
View at: Publisher Site | Google Scholar
D. Yan, Z. Zhang, and Z. Zhang, “Residual leg numbness after endoscopic discectomy treatment of lumbar disc herniation,” BMC Musculoskeletal Disorders, vol. 21, no. 1, p. 273, 2020.
View at: Publisher Site | Google Scholar
Y. Ogura, T. Kitagawa, Y. Kobayashi et al., “Risk factors for persistent numbness following decompression surgery for lumbar spinal stenosis,” Clinical Neurology and Neurosurgery, vol. 196, article 105952, 2020.
View at: Publisher Site | Google Scholar
R. Taiji, H. Iwasaki, H. Hashizume et al., “Improving effect of microendoscopic decompression surgery on low back pain in patients with lumbar spinal stenosis and predictive factors of postoperative residual low back pain: a single-center retrospective study,” BMC Musculoskeletal Disorders, vol. 22, no. 1, p. 954, 2021.
View at: Publisher Site | Google Scholar
C. Schizas, N. Theumann, A. Burn et al., “Qualitative grading of severity of lumbar spinal stenosis based on the morphology of the dural sac on magnetic resonance images,” Spine, vol. 35, no. 21, pp. 1919–1924, 2010.
View at: Publisher Site | Google Scholar
Y. Chen, H. Yang, Y. Wang, and J. Zou, “Relationship of endplate changes and low back pain after discectomy,” Clinical Neurology and Neurosurgery, vol. 184, article 105449, 2019.
View at: Publisher Site | Google Scholar
T. Wu, J. Yuan, J. Jia et al., “Percutaneous endoscopic interlaminar discectomy via laminoplasty technique for L5–S1 lumbar disc herniation with a narrow interlaminar window,” Orthopaedic Surgery, vol. 13, no. 3, pp. 825–832, 2021.
View at: Publisher Site | Google Scholar
K. Wasinpongwanich, K. Pongpirul, K. Lwin, W. Kesornsak, V. Kuansongtham, and S. Ruetten, “Full-endoscopic interlaminar lumbar discectomy: retrospective review of clinical results and complications in 545 international patients,” World Neurosurgery, vol. 132, pp. e922–e928, 2019.
View at: Publisher Site | Google Scholar
Z. Shen, Z. Zhong, Q. Wu, S. Zheng, X. Shen, and J. Chen, “Predictors for poor outcomes after percutaneous endoscopic lumbar discectomy: a retrospective study of 241 patients,” World Neurosurgery, vol. 126, pp. e422–e431, 2019.
View at: Publisher Site | Google Scholar
Y. Ogura, Y. Takahashi, T. Kitagawa et al., “Impact of leg numbness on patient satisfaction following decompression surgery for lumbar spinal stenosis,” Journal of clinical neuroscience, vol. 93, pp. 112–115, 2021.
View at: Publisher Site | Google Scholar
Y. Yamamoto, M. Kawakami, M. Minetama et al., “Psychological predictors of satisfaction after lumbar surgery for lumbar spinal Stenosis,” The Spine Journal, vol. 16, no. 2, pp. 270–278, 2022.
View at: Publisher Site | Google Scholar
C. Yuan, C. Liu, J. Shen et al., “Clinical evaluation of minimally invasive transforaminal lumbar interbody fusion for severe lumbar spinal stenosis,” Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi, vol. 33, no. 7, pp. 801–806, 2019.
View at: Publisher Site | Google Scholar
S. Pesenti, R. Lafage, D. Stein et al., “The amount of proximal lumbar lordosis is related to pelvic incidence,” Clinical Orthopaedics and Related Research, vol. 476, no. 8, pp. 1603–1611, 2018.
View at: Publisher Site | Google Scholar
X. Sun, H. Xu, L. Xiao et al., “Relationship between alterations of spine-pelvic sagittal parameters and clinical outcomes after oblique lumbar interbody fusion,” Zhongguo gu shang = China journal of orthopaedics and traumatology, vol. 33, no. 7, pp. 609–614, 2020.
View at: Publisher Site | Google Scholar
L. T. Khoo, S. Palmer, D. T. Laich, and R. G. Fessler, “Minimally invasive percutaneous posterior lumbar interbody fusion,” Neurosurgery, vol. 51, 5 Suppl, pp. S166–S181, 2002.
View at: Publisher Site | Google Scholar
K. Khajavi, A. Shen, and A. Hutchison, “Substantial clinical benefit of minimally invasive lateral interbody fusion for degenerative spondylolisthesis,” European Spine Journal, vol. 24, Supplement 3, no. S3, pp. 314–321, 2015.
View at: Publisher Site | Google Scholar
A. Hiyama, H. Katoh, D. Sakai, M. Sato, and M. Watanabe, “Effects of preoperative sagittal spinal imbalance on pain after lateral lumbar interbody fusion,” Scientific Reports, vol. 12, no. 1, p. 3001, 2022.
View at: Publisher Site | Google Scholar
Y. Aoki, A. Nakajima, H. Takahashi et al., “Influence of pelvic incidence-lumbar lordosis mismatch on surgical outcomes of short-segment transforaminal lumbar interbody fusion,” BMC Musculoskeletal Disorders, vol. 16, no. 1, p. 213, 2015.
View at: Publisher Site | Google Scholar
J. Wang, D. Markova, D. Anderson, Z. Zheng, I. M. Shapiro, and M. V. Risbud, “TNF-α and IL-1β promote a disintegrin-like and metalloprotease with thrombospondin type I motif-5-mediated aggrecan degradation through syndecan-4 in intervertebral disc,” The Journal of Biological Chemistry, vol. 286, no. 46, pp. 39738–39749, 2011.
View at: Publisher Site | Google Scholar
W. Wu, J. Liang, N. Ru et al., “Microstructural changes in compressed nerve roots are consistent with clinical symptoms and symptom duration in patients with lumbar disc herniation,” Spine, vol. 41, no. 11, pp. E661–E666, 2016.
View at: Publisher Site | Google Scholar

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Copyright © 2022 Ming Yi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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