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BACKGROUND: Diseases of the musculoskeletal system in children and their dynamics and structure are urgent health problems and have important scientific and practical significance. The epidemiological features of the detectability of pathology in different regions are of interest for detailed consideration. AIM: This study aimed to conduct a comparative characterization of the primary morbidity of children with diseases of the musculoskeletal system in St. Petersburg in the 2017–2022 period. MATERIALS AND METHODS: Official collections of statistical reports of the Central Research Institute of Organization and Informatization of Healthcare from 2017 to 2022 were analyzed. Indicators of diseases of the musculoskeletal system and connective tissue in children were analyzed, and a comparative assessment of the ratio of the probabilities of detecting pathologies in general and for individual nosologies presented in the collections in St. Petersburg and the Russian Federation was performed. Digital analysis was performed in Microsoft Office 2010 programs (Word and Excel). RESULTS: The indicators of primary morbidity in St. Petersburg from 2017 to 2022 exceeded the national and regional averages and had a negative upward trend. In all age groups, over 6 years, the odds ratio in favor of St. Petersburg increased with arthropathies in general and deforming dorsopathies and decreased with spondylopathies and systemic connective tissue lesions. Moreover, in children aged 0–14 years, the chances of detection in St. Petersburg increased with respect to reactive arthropathies and fell with juvenile arthritis, whereas in adolescents the increase concerned juvenile arthritis and the decrease in reactive arthropathies. In rheumatoid arthritis, a transition was noted – the probabilities of detection have become lower in favor of the regions in Russia. CONCLUSIONS: In St. Petersburg, an unfavorable trend in the probabilities of detecting diseases of the musculoskeletal system and connective tissue was registered among children. A two-stage increase in indicators was found in 2017–2019 and 2020–2022, and the rate of increase in the detectability of most nosologies during the COVID-19 pandemic exceeded the prepandemic values, indicating the conjugacy of the studied group of diseases with organizational limitations in the outpatient unit, quality and specificity of differential diagnosis, and viral component. The identified features indicate the need for a reassessment of organizational measures and management decisions.
BACKGROUND: Diseases of the musculoskeletal system in children and their dynamics and structure are urgent health problems and have important scientific and practical significance. The epidemiological features of the detectability of pathology in different regions are of interest for detailed consideration. AIM: This study aimed to conduct a comparative characterization of the primary morbidity of children with diseases of the musculoskeletal system in St. Petersburg in the 2017–2022 period. MATERIALS AND METHODS: Official collections of statistical reports of the Central Research Institute of Organization and Informatization of Healthcare from 2017 to 2022 were analyzed. Indicators of diseases of the musculoskeletal system and connective tissue in children were analyzed, and a comparative assessment of the ratio of the probabilities of detecting pathologies in general and for individual nosologies presented in the collections in St. Petersburg and the Russian Federation was performed. Digital analysis was performed in Microsoft Office 2010 programs (Word and Excel). RESULTS: The indicators of primary morbidity in St. Petersburg from 2017 to 2022 exceeded the national and regional averages and had a negative upward trend. In all age groups, over 6 years, the odds ratio in favor of St. Petersburg increased with arthropathies in general and deforming dorsopathies and decreased with spondylopathies and systemic connective tissue lesions. Moreover, in children aged 0–14 years, the chances of detection in St. Petersburg increased with respect to reactive arthropathies and fell with juvenile arthritis, whereas in adolescents the increase concerned juvenile arthritis and the decrease in reactive arthropathies. In rheumatoid arthritis, a transition was noted – the probabilities of detection have become lower in favor of the regions in Russia. CONCLUSIONS: In St. Petersburg, an unfavorable trend in the probabilities of detecting diseases of the musculoskeletal system and connective tissue was registered among children. A two-stage increase in indicators was found in 2017–2019 and 2020–2022, and the rate of increase in the detectability of most nosologies during the COVID-19 pandemic exceeded the prepandemic values, indicating the conjugacy of the studied group of diseases with organizational limitations in the outpatient unit, quality and specificity of differential diagnosis, and viral component. The identified features indicate the need for a reassessment of organizational measures and management decisions.
Diseases of the musculoskeletal system (MSMS) are highly common among the population, causing high rates of temporary and permanent disability in those affected. The problem is also determined by the wide age range of the sick — from young to elderly, which dictates the need to assess the prevalence and regional characteristics of musculoskeletal pathology among the population, including those of working age. The purpose of the study is to investigate the regional features of the primary incidence of the adult population of working age in the Volga Federal District (VFD) with diseases of class ICD-10 XIII (M00‑M99) «Diseases of the musculoskeletal system and connective tissue» during the COVID-19 pandemic in 2020–2021. Methods of descriptive and applied statistics were used in the research process. Statistical collections with information on the incidence of BCM in the adult population and the population over working age were studied. For a comparative assessment, we used the construction of a 95 % confidence interval for the average incidence value for the period 2012–2019. method of generating repeated samples (bootstrap). Growth rate ( %) of the incidence rate in 2020–2021. calculated to average values for 2012–2019. Using the non-parametric Wilcoxon test, the differences between the values of all studied indicators and primary incidence (PI) for 2020–2021 (p) were assessed. The variability of indicators was assessed using coefficients of variation (Cv). For statistical processing of the generated database, the Microsoft Excel program and the Wolfram Research Mathematica v.11.3 system were used. During the studied period, the adult population living in the Volga Federal District was characterized by a decrease in the incidence of diseases of the musculoskeletal system. Significant fluctuations in primary incidence were revealed. In 2020–2021 For most of the studied indicators, there was an increase in Cv of primary morbidity, differences in morbidity levels for individual nosological forms of diseases of the musculoskeletal system in the regions of the district. During the pandemic of the new coronavirus infection in the Volga Federal District, multidirectional changes in the levels of primary incidence of diseases of the musculoskeletal system were observed, which was most likely due to the limitation of the provision of specialized medical care in certain regions.
Context: Long COVID, a condition that persists after the acute phase of COVID-19, poses a significant burden, with 10 - 45% of recovered patients experiencing persistent symptoms. Among these, approximately 46% report musculoskeletal pain. This narrative review explores the potential connections between gut microbiota, Long COVID, and musculoskeletal pain, aiming to introduce new therapeutic avenues and preventive strategies for managing musculoskeletal symptoms in Long COVID patients. Evidence Acquisition: A comprehensive search was conducted using Google Scholar, Lens.org, and ConnectedPaper.com to identify relevant articles published between 2019 and 2024. Keywords related to microbiota, Long COVID, and musculoskeletal pain were used. Articles were selected based on predefined inclusion and exclusion criteria, and their quality was assessed. Data from the selected articles were synthesized to provide an overview of the interplay between microbiota, Long COVID, and musculoskeletal pain. Results: Recent research highlights the significant role of gut microbiota in modulating immune responses and systemic inflammation. Dysbiosis has been linked to the severity and progression of COVID-19 and the persistence of Long COVID symptoms. Individuals with Long COVID often experience new-onset musculoskeletal manifestations, such as joint pain, myalgia, and chronic musculoskeletal pain. Additionally, gut dysbiosis has been associated with conditions like lower back pain and knee osteoarthritis. This suggests that the relationship between gut dysbiosis and musculoskeletal problems in general may also extend to musculoskeletal pain in Long COVID patients, indicating broader implications for musculoskeletal outcomes. Therapeutic strategies targeting the gut microbiota, such as probiotics, prebiotics, and dietary interventions, have shown promise in managing these symptoms and improving overall health outcomes. Conclusions: The evidence underscores the importance of understanding the microbiota-musculoskeletal nexus in Long COVID. Gut dysbiosis contributes to systemic inflammation, exacerbating musculoskeletal symptoms in Long COVID patients. The associations between gut dysbiosis and other musculoskeletal conditions emphasize the need for microbiota-targeted therapeutic strategies. Future research should focus on elucidating the mechanisms linking gut dysbiosis to musculoskeletal pain, exploring the gut-brain axis, and developing personalized approaches to modulate the microbiota. Advancing our understanding of this nexus can pave the way for innovative therapeutic strategies to address the complex health challenges posed by Long COVID and other musculoskeletal conditions.
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