DOI: 10.12732/ijam.v38i1.2
MODELING DATA FOR ATYPICAL
CERVICOFACIAL PAIN USING
TWO-STAGE LOGISTIC REGRESSION
Krassimira Prodanova 1 , Vassil Sveshtarov 2 ,
Savina Nencheva-Sveshtarova 2
1 Technical University of Sofia
8 Kl. Ohridski Blvd
Sofia - 1000 , BULGARIA
2 Faculty of Dental Medicine
Medical University of Sofia
1 Georgi Sofiiski Blvd.
Sofia - 1431, BULGARIA
Abstract. Osteoarthrosis of the temporomandibular joint is a slowly progressive degenerative disorder. Clinical symptoms usually manifest unilaterally,
and some joints with osteoarthrosis-related structural alterations do not show any symptoms at all. However, we have observed some rare cases
of atypical high-intensity pain (≥ 9 in VAS scores) in the contralateral non-osteoarthrosis joint, cervical, and masticatory muscles without any
discomfort in the osteoarthrosis (OA) joint, but with pronounced hypomobility and deviation of the mandible to the OA joint. Our purpose was
to determine if the presence of unilateral OA predisposes to the development of atypically severe pain in the contralateral joint and cervicofacial
muscles, as well as the time at which the pain is likely to manifest itself from the initial symptoms of osteoarthrosis. Material and methods: A
total of 90 patients with unilateral OA were divided into three groups according to the presence of cervicofacial pain and into two groups according
to mandibular deviations. A two-stage logistic regression was performed to obtain an adjusted estimate of the odds and to identify if
unilateral osteoarthrosis is a predictor of severe contralateral cervicofacial pain. The software package STATISTICA 13.0 was used for analyzing
the real data. Results and conclusions: Patients with unilateral OA and deviation to the OA side had a higher rate of atypical severe contralateral
cervicofacial pain, which can occur in the first 21 months after the initial symptoms of OA.
How
to cite this paper?
DOI: 10.12732/ijam.v38i1.2
Source: International Journal of
Applied Mathematics
ISSN printed version: 1311-1728
ISSN on-line version: 1314-8060
Year: 2025
Volume: 38
Issue: 1
References
[1] Ziad Al-Ani, Temporomandibular Joint Osteoarthrosis: a review of clinical
aspects and Management. Prim. Dent. J., 10, No 1 (2021),
132-140.
[2] M. Chung, S. Wang et al., The degeneration-pain relationship in the temporomandibular joint: Current understandings and rodent
models. Front. Pain Res., 4 (2023), 1038808.
[3] J. Vorrasi, L. Memdomo, What is the prevalence of temporomandibular joint (TMJ) condylar osteoarthritis in an asymptomatic oral and
maxillofacial surgery department population?, The New York State Dental Journal, 89, No 4 (2023), Article 6.
[4] V. Sveshtarov, S. Nencheva-Sveshtarova, Temporomandibular disorders, J. Point Plus, Sofia, 12 (2023), 166-169.
[5] A. Lila, L. Alekseeva, E. Taskina et al., Osteoarthritis as an interdisciplinary problem: A treatment algorithm for internists and general
practitioners. Modern Rheumatology, 15, No 5 (2021), 68–75.
[6] H. Song et al., (2020) Long-term changes of temporomandibular joint osteoarthritis on computed tomography. Sci. Rep., 10 (2020), 6731;
DOI:10.1038/s41598-020-63493-8.
[7] J. Turp et al., Disk displacement, eccentric condylar position, osteoarthrosis - misnomers for variations of normality? Results and
interpretations from an MRI study in two age cohorts, BMC Oral Health, 16, No 1 (2016), 124.
[8] M. Wurm et al., Correlation between pain and MRI findings in TMD patients. J. Craniomaxillofac Surg., 46, No 8 (2018), 1167–1171.
[9] E. Filatova, A. Lila, (2021) Contribution of neurogenic mechanisms to the pathogenesis of chronic joint pain. Modern Rheumatology, 15,
No 2 (2021), 43–49.
[10] E. Schiffman et al., (2014) Diagnostic criteria for temporomandibular disorders (DC/TMD) for clinical and research applications, J.
Oral Facial Pain Headache, 28, No 1 (2014), 6-27.
[11] W. Jung et al., Deep learning for osteoarthritis classification in temporomandibular joint. Oral Diseases (2021);
https://doi.org/10.1111/odi.14056.
[12] S. Delpachitra, G. Dimitroulis, Osteoarthritis of the temporomandibular joint: A review of aetiology and pathogenesis. British
Journal of Oral and Maxillofacial Surgery, 60, No 4 (2022), 387-396.
[13] M. Wu, F. Almedia, R. Friesen, A systematic review on the association between clinical symptoms and cbct findings in symptomatic
TMJ degenerative joint disease. The Journal of Oral & Facial Pain and Headache, 35, No 4 (2021), 332–345.
[14] International network for orofacial pain and
related disorders methodology. Complete DC/TMD Instrument Set (2021).
https://ubwp.buffalo.edu/rdc-tmdinternational/tmd-assessmentdiagnosis/dc-tmd/
(2021).
[15] B. Ilieva, K. Prodanova, V. Sveshtarov, Prediction of bisphosphonate-associated osteonecrosis of the jaws in Bulgarian patients
using logistic. International Journal of Applied Mathematics, 36, No 6 (2023), 815-827; DOI:10.12732/ijam.v36i6.6.
[16] Y. Usunova, K. Prodanova, Comparison of binary regression models for the outcome of pediatric liver transplantation, International
Journal of Applied Mathematics, 35, No 4 (2022), 601-609; DOI:10.12732/ijam.v35i4.8.
[17] J. D. Jobson, Multivariate Data Analysis, Springer Verlag, Berlin (1991).
[18] Stat.Soft, Inc., STATISTICA (Data Analysis Software System), Version 13.0 (2022).
[19] E. L. Kaplan, P. Meier, Nonparametric estimation from incomplete observations. J. Amer. Statist. Assoc., 53, No 282 (1958), 457–481
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