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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">zdor</journal-id><journal-title-group><journal-title xml:lang="ru">Проблемы здоровья и экологии</journal-title><trans-title-group xml:lang="en"><trans-title>Health and Ecology Issues</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2220-0967</issn><issn pub-type="epub">2708-6011</issn><publisher><publisher-name>Gomel State Medical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.51523/2708-6011.2022-19-4-17</article-id><article-id custom-type="elpub" pub-id-type="custom">zdor-2418</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>НОВЫЕ ТЕХНОЛОГИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>NEW TECHNOLOGIES</subject></subj-group></article-categories><title-group><article-title>Эффективность использования компьютерной программы «Painметрика» для диагностики и подбора лечения хронического болевого синдрома при дегенеративных заболеваниях позвоночника</article-title><trans-title-group xml:lang="en"><trans-title>The effectiveness of using “Painmetrica” software for the diagnosis and selection of treatment for chronic pain syndrome in degenerative diseases of the spine</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2575-4055</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Усова</surname><given-names>Н. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Usova</surname><given-names>N. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Усова Наталья Николаевна, к.м.н., доцент, заведующий кафедрой неврологии и нейрохирургии с курсами медицинской реабилитации, психиатрии, ФПКиП</p><p>Гомель</p></bio><bio xml:lang="en"><p>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</p><p> Gomel </p></bio><email xlink:type="simple">nata_usova@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2566-2137</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Савостин</surname><given-names>А. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Savostin</surname><given-names>A. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Савостин Андрей Павлович, ассистент кафедры неврологии и нейрохирургии с курсами медицинской реабилитации, психиатрии, ФПКиП</p><p>Гомель</p></bio><bio xml:lang="en"><p>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</p><p> Gomel </p></bio><email xlink:type="simple">star-pat@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3805-471X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Савицкий</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Savitsky</surname><given-names>A. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Савицкий Александр Иванович, ассистент кафедрымедицинской и биологической физики</p><p>Гомель</p></bio><bio xml:lang="en"><p>Alexander I. Savitsky, Assistant Lecturer at the Department of Medical and Biological Physics</p><p> Gomel </p></bio><email xlink:type="simple">micron@tut.by</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Гомельский государственный медицинский университет</institution></aff><aff xml:lang="en"><institution>Gomel State Medical University</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>05</day><month>01</month><year>2023</year></pub-date><volume>19</volume><issue>4</issue><fpage>128</fpage><lpage>135</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Усова Н.Н., Савостин А.П., Савицкий А.И., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Усова Н.Н., Савостин А.П., Савицкий А.И.</copyright-holder><copyright-holder xml:lang="en">Usova N.N., Savostin A.P., Savitsky A.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://journal.gsmu.by/jour/article/view/2418">https://journal.gsmu.by/jour/article/view/2418</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования. Оценить эффективность использования компьютерной программы «Painметрика» для диагностики и подбора лечения болевого синдрома при дегенеративных заболеваниях позвоночника.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Разработана компьютерная программа «Painметрика» для диагностики и подбора лечения болевого синдрома при дегенеративных заболеваниях позвоночника. Путем двунаправленного нерандомизированного контролируемого исследования проведена оценка ее эффективности с помощью телефонного интервью с 42 пациентами. Для сравнения проведен телефонный опрос 47 пациентов, в лечении которых не была использована программа «Painметрика».</p></sec><sec><title>Результаты</title><p>Результаты. Показана эффективность использования программы «Painметрика» для диагностики и подбора лечения пациентов с болями в спине. В основной группе уменьшение болевого синдрома имело тенденцию к отличию за счет увеличения числа пациентов, у которых боль купировалась более чем на 50 % и полностью исчезла (р = 0,09 согласно двухстороннему точному критерию Фишера). У пациентов, пролеченных с помощью алгоритмов программы «Painметрика», произошло восстановление сна из-за уменьшения болевого синдрома: изменения сохранялись в 12 случаях (28,6 %), а в группе сравнения изменения сна оставались у 24 пациентов (51,1 %) (р = 0,05 согласно двухстороннему точному критерию Фишера). На фоне эффективного купирования боли у пациентов, использовавших программу «Painметрика», произошло уменьшение применения нестероидных противовоспалительных препаратов (НПВП) (17 пациентов (40,5 %) основной группы против 36 пациентов (76,6 %) группы сравнения; р = 0,001 согласно двухстороннему точному критерию Фишера). При этом на необходимость консультации невролога указывали только 8 пациентов (19,1 %) основной группы и 30 человек (63,8 %) из группы сравнения (р &lt; 0,001 согласно двухстороннему точному критерию Фишера).</p></sec><sec><title>Заключение</title><p>Заключение. Показана эффективность применения компьютерной программы «Painметрика» для диагностики и подбора лечения пациентов с дегенеративными заболеваниями позвоночника на амбулаторном приеме в отношении их нуждаемости в использовании НПВП, необходимости дополнительной консультации невролога, а также эффективного купирования нарушений сна, обусловленных болью.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Objective</title><p>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.</p></sec><sec><title> Materials and methods</title><p> 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.</p></sec><sec><title>Results</title><p>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 &lt; 0.001 according to Fisher’s two-sided exact test) indicated the need to consult a neurologist.</p></sec><sec><title>Conclusion</title><p>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.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>лечение боли в спине</kwd><kwd>компьютерная программа «Painметрика»</kwd></kwd-group><kwd-group xml:lang="en"><kwd>back pain treatment</kwd><kwd>“Painmetrika” software</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена в рамках научно-исследовательской работы по договору № 3/2020 от 01.10.2020 г. с главным управлением здравоохранения Гомельского областного исполнительного комитета по заданию «Разработать и внедрить программное обеспечение для диагностики нейропатического хронического болевого синдрома при дегенеративных заболеваниях позвоночника с вариантами подбора противоболевой адъювантной терапии».</funding-statement><funding-statement xml:lang="en">The study was carried out as a part of research work under contract No. 3/2020 dated 01.10.2020 with the main health department of the Gomel Regional Executive Committee on the assignment «Develop and implement software for diagnosing neuropathic chronic pain syndrome in degenerative diseases of the spine with options for selecting painkillers adjuvant therapy»</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">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. 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