The effectiveness of using “Painmetrica” software for the diagnosis and selection of treatment for chronic pain syndrome in degenerative diseases of the spine
https://doi.org/10.51523/2708-6011.2022-19-4-17
Abstract
Objective. To evaluate the effectiveness of using the “Painmetrica” software for the diagnosis and selection of treatment for pain in degenerative diseases of the spine.
Materials and methods. Software “Painmetrica” was developed for the diagnosis and selection of treatment for pain in degenerative diseases of the spine. Through a bidirectional nonrandomized controlled trial, its effectiveness was evaluated using telephone interviews with 42 patients. For comparison, a telephone interview was conducted with 47 patients for whom the Panimetrica program had not been used in the treatment.
Results. The effectiveness of using “Painmetrica” software for the diagnosis and selection of treatment for patients with back pain was demonstrated. In the main group, the decrease in pain syndrome tended to differ due to an increase in the number of patients in whom pain was relieved by more than 50% and completely disappeared (p = 0,09 according to the two-tailed Fisher’s exact test). Patients treated with Painmetrica algorithms experienced sleep recovery due to a decrease in pain: changes persisted in 12 cases (28,6%), while in the comparison group, sleep changes remained in 24 patients (51,1%) (p=0,05 according to two-tailed Fisher’s exact test). Against the background of effective pain relief in patients who used Painmetrica, there was a decrease in the use of non-steroidal anti-inflammatory drugs (NSAIDs) (17 patients (40,5%) of the main group versus 36 patients (76,6%) of the control group, p = 0,001 according to the twotailed Fisher’s exact test ). At the same time, only 8 patients (19.1%) in the main group and 30 patients (63.8%) in the comparison group (p < 0.001 according to Fisher’s two-sided exact test) indicated the need to consult a neurologist.
Conclusion. The effectiveness of the use of “Painmetrica” software for the diagnosis and selection of treatment of patients with degenerative diseases of the spine on an outpatient basis in relation to the need for patients to use nonsteroidal anti-inflammatory drugs, the need for additional consultation of a neurologist, as well as effective relief of sleep disorders caused by pain were demonstrated.
About the Authors
N. N. UsovaBelarus
Natallia N. Usova, Candidate of Medical Sciences,
Associate Professor, Head of the Department of Neurology and Neurosurgery with the courses of Medical Rehabilitation, Psychiatry and with course of the Faculty of Professional Development and Retraining
Gomel
A. P. Savostin
Belarus
Andrei P. Savostin, Assistant Lecturer at the Department of Neurology and Neurosurgery with the courses of Medical Rehabilitation, Psychiatry and with course of the Faculty of Professional Development and Retraining
Gomel
A. I. Savitsky
Belarus
Alexander I. Savitsky, Assistant Lecturer at the Department of Medical and Biological Physics
Gomel
References
1. Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, Williams G, Smith E, Vos T, Barendregt J, Murray C, Burstein R, Buchbinder R. The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis. 2014;73(6):968-974. DOI: https://doi.org/10.1136/annrheumdis-2013-204428
2. Lihachev SA, Usova NN, Savostin AP, Linkov MV Central sensitization syndrome. Med novosti. 2018;1:14-19.
3. Hoy D, Brooks P, Blyth F, Buchbinder R. The Epidemiology of low back pain. Best Pract Res Clin. 2010;24(6):769-781. DOI: https://doi.org/10.1016/j.berh.2010.10.002
4. Srinath K Reddy. Global Burden of Disease Study 2015 provides GPS for global health 2030. Lancet. 2016; 388(10053):1448-1449. DOI: https://doi.org/10.1016/S0140-6736(16)31743-3
5. Richard A Deyo, Sohail K Mirza, Brook I Martin. Back pain prevalence and visit rates: estimates from U.S. national surveys. Spine. 2006 Nov 1;31(23):2724-2727. DOI: https://doi.org/10.1097/01.brs.0000244618.06877.cd
6. P C Jutte, R M Castelein Complications of pedicle screws in lumbar and lumbosacral fusions in 105 consecutive primary operations. Eur Spine J. 2002 Dec;11(6):594-598. DOI: https://doi.org/10.1007/s00586-002-0469-8
7. Eugene J Carragee, Todd F Alamin, Jonothan L Miller, John M Carragee. Discographic, MRI and psychosocial determinants of low back pain disability and remission: a prospective study in subjects with benign persistent back pain. Spine J. Jan-Feb 2005;5(1):24-35. DOI: https://doi.org/10.1016/j.spinee.2004.05.250
8. Rand M Voorhies, Xiaozhang Jiang, Najeeb Thomas. Predicting outcome in the surgical treatment of lumbar radiculopathy using the Pain Drawing Score, McGill Short Form Pain Questionnaire, and risk factors including psychosocial issues and axial joint pain. Spine J. Sep-Oct 2007;7(5):516-524. DOI: https://doi.org/10.1016/j.spinee.2006.10.013
9. Ashley B McKillop, Linda J Carroll, Michele C Battié. Depression as a prognostic factor of lumbar spinal stenosis: a systematic review. Spine J. 2014 May 1;14(5):837-846. DOI: https://doi.org/10.1016/j.spinee.2013.09.052
10. Arthur K Young, Benjamin K Young, Lee H Riley 3rd, Richard L Skolasky. Assessment of presurgical psychological screening in patients undergoing spine surgery: use and clinical impact. J Spinal Disord Tech. 2014 Apr;27(2):76-79. DOI: https://doi.org/10.1097/BSD.0b013e31827d7a92
11. Davydov OS, Yahno NN, Kukushkin ML, Churyukanov MV, Abuzarova GR, Amelin AV, et al. Neuropathic pain: clinical guidelines on the diagnostics and treatment from the Russian Association for the Studying of Pain. Russian Journal of Pain. 2018;4:5-41. DOI: https://doi.org/10.25731/RASP.2018.04.025
12. Bakhtadze MA, Lusnikova IV, Kanaev SP, Rasstrigin SN. Pain in the lower back: which scales and questionnaires to choose? Russian Journal of Pain. 2020;18(1):22-28. DOI: https://doi.org/10.17116/pain20201801122
13. Zigmond AS, Snaith RP. The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand. 1983;67:361-370. DOI: https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
14. Resolution of the Ministry of Health of the Republic of Belarus «On approval of the clinical protocol «Diagnosis and treatment of patients with diseases of the nervous system (adult population)», January 18, 2018 No. 8 [Electronic resource]. [accessed 2022 July 21]. Access mode: https://normativka.by/lib/ document/73110
15. Order of the Ministry of Health of the Republic of Belarus «On approval of the clinical protocol for the diagnosis and treatment of patients (adult population) with chronic non-oncological pain», October 17, 2014 No. 1070 [Electronic resource]. [accessed 2022 July 21]. Access mode: https://normativka.by/lib/document/47162
Review
For citations:
Usova N.N., Savostin A.P., Savitsky A.I. The effectiveness of using “Painmetrica” software for the diagnosis and selection of treatment for chronic pain syndrome in degenerative diseases of the spine. Health and Ecology Issues. 2022;19(4):128-135. (In Russ.) https://doi.org/10.51523/2708-6011.2022-19-4-17