The effectiveness of the system for predicting the results of surgical treatment of patients with lumbar disc herniation
https://doi.org/10.14531/ss2020.1.87-95
Abstract
Objective. To evaluate the effectiveness of a multivariate logistic regression model for the predicting surgical treatment results in patients with lumbar disc herniation.
Materials and Methods. Study design: monocentric retrospective study. The study included patients operated on for lumbar disc herniation at levels L4–L5, L5–S1, with a 3-year follow-up. Two groups were identified: Group I included 350 patients (their data served as a basis for creation of multivariate logistic regression predicting model), and Group II – 514 patients (in this group, the effectiveness of the model was evaluated). Group II was divided into two subgroups: Subgroup IIa (recurrence probability 50 %) – 17 (3.3 %) patients. Patients in Subgroup IIa underwent microdisectomy, and in Subgroup IIb – spinal fusion. In order to obtain homogeneous pre-operative indicators of both group parameters, the PSM method was used. Statistical calculations were performed in the RStudio program.
Results. In Group II, significant differences in indicators in the subgroups were noted for the following parameters (p < 0.05): smoking, disc height index, segmental volume of movement, lumbar lordosis angle, type of intervertebral hernia (except for sequestration), Modic changes, and stage of intervertebral disc degeneration according to Pfirrmann. In Subgroup IIa, 8 (1.6 %) reoperations were performed, in Subgroup IIb – 2 (0.4 %). Using the PSM method, the data of groups I and II were flattened out for significantly different indicators. The sample size was 37 patients in each group. The number of reoperations in the groups differed statistically significantly: Group I – 35 % [22 %; 51 %]; Group II – 5 % [1 %; 18 %]. The risk of reoperation in Group II is 0.13 [0.03; 0.58] times lower than in Group I (p = 0.002).
Conclusions. The proposed system for predicting the results of surgical treatment of patients with intervertebral disc hernia can be used as a tool to determine the surgical tactics aimed at reducing the frequency of reoperations.
Materials and Methods. Study design: monocentric retrospective study. The study included patients operated on for lumbar disc herniation at levels L4–L5, L5–S1, with a 3-year follow-up. Two groups were identified: Group I included 350 patients (their data served as a basis for creation of multivariate logistic regression predicting model), and Group II – 514 patients (in this group, the effectiveness of the model was evaluated). Group II was divided into two subgroups: Subgroup IIa (recurrence probability 50 %) – 17 (3.3 %) patients. Patients in Subgroup IIa underwent microdisectomy, and in Subgroup IIb – spinal fusion. In order to obtain homogeneous pre-operative indicators of both group parameters, the PSM method was used. Statistical calculations were performed in the RStudio program.
Results. In Group II, significant differences in indicators in the subgroups were noted for the following parameters (p < 0.05): smoking, disc height index, segmental volume of movement, lumbar lordosis angle, type of intervertebral hernia (except for sequestration), Modic changes, and stage of intervertebral disc degeneration according to Pfirrmann. In Subgroup IIa, 8 (1.6 %) reoperations were performed, in Subgroup IIb – 2 (0.4 %). Using the PSM method, the data of groups I and II were flattened out for significantly different indicators. The sample size was 37 patients in each group. The number of reoperations in the groups differed statistically significantly: Group I – 35 % [22 %; 51 %]; Group II – 5 % [1 %; 18 %]. The risk of reoperation in Group II is 0.13 [0.03; 0.58] times lower than in Group I (p = 0.002).
Conclusions. The proposed system for predicting the results of surgical treatment of patients with intervertebral disc hernia can be used as a tool to determine the surgical tactics aimed at reducing the frequency of reoperations.
About the Authors
E. S. Baikov
Novosibirsk Research Institute of Traumatology and Orthopaedics n.a. Ya.L. Tsivyan
Russian Federation
Russian Federation
Evgeny Sergeyevich Baikov, MD, PhD, Head of the Neurosurgical Department No. 2
Frunze str., 17, Novosibirsk, 630091, Russia
A. V. Krutko
Novosibirsk Research Institute of Traumatology and Orthopaedics n.a. Ya.L. Tsivyan
Russian Federation
Russian Federation
Aleksandr Vladimirovich Krutko, DMSc, Head of the Department of Neurovertebtrology
Frunze str., 17, Novosibirsk, 630091, Russia
V. L. Lukinov
Institute of Computational Mathematics and Mathematical Geophysics SB RAS;
Siberian State University of Telecommunications and Information Sciences
Russian Federation
Russian Federation
Vitaliy Leonidovich Lukinov, PhD in Physics and Mathematics, senior researcher, Head of the Laboratory of numerical analysis of stochastic differential equations; Associate professor of the Chair of telecommunication networks and computing facilities
Academica Lavrent’eva prospect, 6, Novosibirsk, 630090, Russia;
Kirova str, 86, Novosibirsk, 630102, Russia
A. J. Sanginov
Novosibirsk Research Institute of Traumatology and Orthopaedics n.a. Ya.L. Tsivyan
Russian Federation
Russian Federation
Abdugafur Jabborovich Sanginov, MD, PhD, Neurosurgical Department No. 2
Frunze str., 17, Novosibirsk, 630091, Russia
O. N. Leonova
Novosibirsk Research Institute of Traumatology and Orthopaedics n.a. Ya.L. Tsivyan
Russian Federation
Russian Federation
Olga Nikolayevna Leonova, MD, PhD, researcher
Frunze str., 17, Novosibirsk, 630091, Russia
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Review
For citations:
Baikov E.S., Krutko A.V., Lukinov V.L., Sanginov A.J., Leonova O.N. The effectiveness of the system for predicting the results of surgical treatment of patients with lumbar disc herniation. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika). 2020;17(1):87-95. https://doi.org/10.14531/ss2020.1.87-95
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