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<article article-type="review-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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">patmedfar</journal-id><journal-title-group><journal-title xml:lang="en">Patient-Oriented Medicine and Pharmacy</journal-title><trans-title-group xml:lang="ru"><trans-title>Пациентоориентированная медицина и фармация</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2949-1924</issn><publisher><publisher-name>LLC Izdatelstvo OKI</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.37489/2949-1924-0081</article-id><article-id custom-type="edn" pub-id-type="custom">VTUIXK</article-id><article-id custom-type="elpub" pub-id-type="custom">patmedfar-141</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="en"><subject>RHEUMATOLOGY</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>РЕВМАТОЛОГИЯ</subject></subj-group></article-categories><title-group><article-title>Clinical indices and laboratory markers for evaluating the immune-mediated inflammation in rheumatoid arthritis: the impact of COVID-19</article-title><trans-title-group xml:lang="ru"><trans-title>Оценка активности иммуновоспалительного процесса при ревматоидном артрите – клинические индексы и лабораторные маркеры: влияние инфекции COVID-19</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-6641-7544</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Коновалов</surname><given-names>К. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Konovalov</surname><given-names>K. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Коновалов Кирилл Михайлович — аспирант кафедры поликлинической терапии, клинической лабораторной диагностики и медицинской биохимии.</p><p>Ярославль</p></bio><bio xml:lang="en"><p>Kirill M. Konovalov — Postgraduate of the Department of Polyclinic Therapy, Clinical Laboratory Diagnostics and Medical Biochemistry.</p><p>Yaroslavl</p></bio><email xlink:type="simple">k.koshkasa@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7847-1679</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Баранов</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Baranov</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Баранов Андрей Анатольевич — д. м. н., профессор, зав. кафедрой поликлинической терапии, клинической, лабораторной диагностики и медицинской биохимии.</p><p>Ярославль</p></bio><bio xml:lang="en"><p>Andrey A. Baranov — Dr. Sci. (Med.), professor, Head of the Department of the Department of Polyclinic Therapy, Clinical Laboratory Diagnostics and Medical Biochemistry.</p><p>Yaroslavl</p></bio><email xlink:type="simple">bara_aa@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/0000-0003-2692-399X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лапкина</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Lapkina</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лапкина Наталья Александровна — к. м. н., доцент кафедры поликлинической терапии, клинической лабораторной диагностики и медицинской биохимии.</p><p>Ярославль</p></bio><bio xml:lang="en"><p>Natalia A. Lapkina — Cand. Sci. (Med.), Associate professor at Department of Polyclinic Therapy, Clinical Laboratory Diagnostics and Medical Biochemistry.</p><p>Yaroslavl</p></bio><email xlink:type="simple">lanaal@rambler.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/0000-0002-8846-0401</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Абайтова</surname><given-names>Н. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Abaytova</surname><given-names>N. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Абайтова Наталья Евгеньевна — к. м. н., доцент кафедры поликлинической терапии, клинической лабораторной диагностики и медицинской биохимии.</p><p>Ярославль</p></bio><bio xml:lang="en"><p>Natalia E. Abaytova — Cand. Sci. (Med.), Associate professor at Department of Polyclinic Therapy, Clinical Laboratory Diagnostics and Medical Biochemistry.</p><p>Yaroslavl</p></bio><email xlink:type="simple">nabaitova1922@yandex.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/0009-0000-1247-1000</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Борисова</surname><given-names>О. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Borisova</surname><given-names>O. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Борисова Ольга Львовна — к. б. н., ассистент кафедры поликлинической терапии, клинической лабораторной диагностики и медицинской биохимии.</p><p>Ярославль</p></bio><bio xml:lang="en"><p>Olga L. Borisova — Candidate of Biological Sciences, Assistant of Department of Polyclinic Therapy, Clinical Laboratory Diagnostics and Medical Biochemistry.</p><p>Yaroslavl</p></bio><email xlink:type="simple">oligabl67@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО «Ярославский государственный медицинский университет»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Yaroslavl State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>24</day><month>03</month><year>2025</year></pub-date><volume>3</volume><issue>1</issue><fpage>49</fpage><lpage>58</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Konovalov K.M., Baranov A.A., Lapkina N.A., Abaytova N.E., Borisova O.L., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Коновалов К.М., Баранов А.А., Лапкина Н.А., Абайтова Н.Е., Борисова О.Л.</copyright-holder><copyright-holder xml:lang="en">Konovalov K.M., Baranov A.A., Lapkina N.A., Abaytova N.E., Borisova O.L.</copyright-holder><license 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://www.pomph.ru/jour/article/view/141">https://www.pomph.ru/jour/article/view/141</self-uri><abstract><p>Rheumatoid arthritis (RA) is an immune-mediated inflammatory disease of unknown etiology that represents a considerable burden for both the patient and the healthcare system. The degree to which inflammation is being controlled determines the prognosis; therefore, achieving remission or low disease activity is of paramount importance to medical practitioners. The effectiveness of the currently employed treatment regimen for a specific patient is determined by the disease activity indices and the change in their values during treatment. The commonly used RA disease activity indices are the result of a painstaking search for the optimal set of clinical, laboratory and instrumental parameters reflecting the underlying pathogenesis of inflammation in RA spanning half a century. Routine laboratory tests not included in these indices can nevertheless provide additional valuable information regarding the disease. The new coronavirus infection, COVID-19, has similar pathogenetic mechanisms with immunoinflammatory rheumatic diseases, and its clinical and laboratory consequences in the form of postcovid-19 syndrome, make it difficult to assess the activity of RA using existing activity indices, raise the question of the need to take them into account when assessing the effectiveness and choosing the tactics of treatment of a patient with RA.</p></abstract><trans-abstract xml:lang="ru"><p>Ревматоидный артрит (РА) — иммуновоспалительное ревматическое заболевание неизвестной этиологии, представляющее существенное бремя для пациентов и для системы здравоохранения. Контроль воспаления при РА определяет прогноз заболевания, и достижение ремиссии или низкой активности заболевания является приоритетной задачей для практикующего специалиста. Оценка эффективности текущей схемы лечения РА у конкретного пациента зависит от величины индексов активности и динамики их изменения. Используемые в рутинной современной клинической практике индексы активности РА являются плодом кропотливого полувекового поиска оптимального набора клинических, лабораторных и инструментальных параметров, наиболее полно отражающих подлежащие патогенетические механизмы воспаления при РА. Не вошедшие в эти индексы рутинные показатели анализа крови могут являться ценным дополнением картины заболевания. Новая коронавирусная инфекция COVID-19, имеет сходные патогенетические механизмы с иммуновоспалительными ревматическими заболеваниями, а её клинические и лабораторные последствия в виде постковид-19-синдрома, затрудняют оценку активности РА с использованием существующих индексов активности, ставят вопрос о необходимости принимать их во внимание при оценке эффективности и выборе тактики лечения пациента с РА.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ревматоидный артрит</kwd><kwd>COVID-19</kwd><kwd>активность заболевания</kwd></kwd-group><kwd-group xml:lang="en"><kwd>rheumatoid arthritis</kwd><kwd>COVID-19</kwd><kwd>disease activity</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнялась без спонсорской поддержки</funding-statement><funding-statement xml:lang="en">The work was carried out without sponsorship</funding-statement></funding-group></article-meta></front><body><sec><title>Relevance</title><p>Rheumatoid arthritis (RA) is an immune-inflammatory (autoimmune) rheumatic disease of unknown etiology, characterized by chronic erosive arthritis and systemic damage to internal organs, leading to disability, development of severe comorbid pathology and, as a consequence, a reduction in the life expectancy of patients [<xref ref-type="bibr" rid="cit1">1</xref>]. The average prevalence of RA in developed countries, according to the latest data, ranges from 0.5% to 1.0%, with significant variability depending on the socio-demographic and ethnic characteristics of the population studied, as well as the availability of medical resources. The age-standardized incidence of RA in the world is also heterogeneous, from 3.92 per 100,000 in Oceania to 21.46 per 100,000 in North America [<xref ref-type="bibr" rid="cit2">2</xref>]. According to a Russian epidemiological study, RA affects about 0.6% of the general population. RA causes persistent disability in half of the patients during the first 3-5 years from the onset of the disease [<xref ref-type="bibr" rid="cit3">3</xref>]. Modern tactics for managing patients with RA include careful control (treat-to-target strategy) of inflammation. Its main goal is to achieve remission or low disease activity. In patients in remission (or having low activity), the functional status, ability to work, and prognosis of the disease are better than in patients who have moderate or high disease activity [<xref ref-type="bibr" rid="cit4">4</xref>].</p></sec><sec><title>Requirements and the evolution of the activity indices</title><p>Modern clinical practice, as well as the process of testing innovative drugs for the treatment of rheumatoid arthritis, cannot be imagined without generally accepted methods for assessing its activity. Relatively recently, formal activity criteria did not exist, and each clinician used what he considered necessary in the assessment. Thus, in 1980-1983, a study of RA activity criteria used by clinicians was conducted in the UK, the presentation of the results of which began with "... We know little about what disease activity criteria for RA are actually used by practicing rheumatologists, and what contribution each of them makes to the clinician's assessment of the course of the disease." The surveyed rheumatologists not only based their activity assessment on different sets of clinical (in particular, morning stiffness, subjective assessment of pain and activity, presence of extra-articular manifestations, side effects from therapy, functional class, joint index, grip strength), laboratory (erythrocyte sedimentation rate (ESR), rheumatoid factor (RF) level, C-reactive protein (CRP), immunoglobulins) and imaging (erosion characteristics) criteria, but also ranked their contribution to the overall activity value differently. [<xref ref-type="bibr" rid="cit5">5</xref>]. Obviously, with this approach, both a one-time assessment of activity and an assessment of the dynamics of RA activity in the same patient by different rheumatologists may differ significantly. </p><p>At the same time, the USSR already had a working classification of RA, adopted in October 1980. Domestic specialists used approaches adopted for systemic lupus erythematosus and acute rheumatic fever to determine RA activity. Within the framework of this classification, RA activity was assessed based on the values of three clinical signs (duration of morning stiffness, severity of hyperthermia and exudative changes in the joints) and three laboratory parameters (proportion of α2-globulins, ESR in mm/h, and CRP (capillary precipitation test)), with the resulting point assessment corresponding to certain degrees (from “0” (absence) to “III” (maximum)) of disease activity [<xref ref-type="bibr" rid="cit6">6</xref>]. </p><p>In 1993, the American College of Rheumatology proposed a set of key criteria to be included in the design of clinical trials of RA treatments (including nonpharmacologic ones), citing the "...confounding heterogeneity of end points assessed in clinical trials." The proposed list included clinical (number of swollen and tender joints, known as ACR 66/68, based on the number of joints assessed; pain score; patient assessment of disease activity and functional status; physician assessment of activity), laboratory (ESR or CRP), and, in some cases, instrumental criteria. [<xref ref-type="bibr" rid="cit7">7</xref>] However, the issue of threshold values that would allow one to judge the need for clinical decisions regarding a particular patient and his or her disease activity remained unresolved.</p><p>Over time, calculated activity indices have been proposed that allow rapid and, importantly, uniform assessment by all practicing rheumatologists of the current activity of RA and the effectiveness of its treatment. One of the first was the Disease Activity Score (DAS) [<xref ref-type="bibr" rid="cit8">8</xref>], which used the Ritchie index, the number of swollen joints (NSJ), the patient's overall activity assessment (PAA), and ESR.</p><p>As for the joint score, a number of joint indices were proposed in the 20th century, both weighted (by the area of ​​the joints being assessed) and not. In 1957, Lansbury J. [<xref ref-type="bibr" rid="cit9">9</xref>] proposed assessing the total area of the involved joints (based on the known value of the total area of ​​the joints – 1000 cm2). The index [<xref ref-type="bibr" rid="cit10">10</xref>] developed in 1968 by Ritchie D.M. et al. included an assessment of 78 joints divided into 53 joint zones. The metacarpophalangeal, proximal interphalangeal, and metatarsophalangeal joints were allocated to separate groups, which were assessed by one, the most painful joint in the corresponding group. Each joint (or group of joints) received from 0 to 3 points depending on the severity of pain in it. The need for a point assessment of pain introduced significant variability into the results of examination of the same patient by different rheumatologists. In 1986, Hart L.E. et al. [<xref ref-type="bibr" rid="cit11">11</xref>] proposed to evaluate the same groups of joints without using pain gradations. Analyzing the joint indices that existed at that time, Thompson P.W. et al. [<xref ref-type="bibr" rid="cit12">12</xref>] in 1987 proposed their own version using 38 joints and assigning each its own “weight” corresponding to the area of the affected joint. Thus, the knee joint corresponded to 95 points, and the metatarsophalangeal joint corresponded to only 3. An alternative evaluation method was the above-mentioned ACR 66/68 score. In 1993, Prevoo M.L. et al. [<xref ref-type="bibr" rid="cit13">13</xref>] in a prospective study assessed the validity and reliability of the joint counting methods used at that time and concluded that there was no significant advantage of any of them. Given the ease of measurement and comparable reliability, preference was given to the 28-joint score, which was used in all subsequent clinical indices of RA activity.</p><p>Despite the diversity of the proposed indices and differences in the methods of their calculation, each of them is based on the same clinical (number of painful joints (NPJ), PAA, GAP) and laboratory (ESR or CRP) indicators. Based on DAS, a version was developed using a 28-joint count – DAS28-ESR (DAS28-ESR = 0.56 * √ NPJ + 0.28 * √NPJ + 0.70 * lnESR + 0.014 * PAA) [<xref ref-type="bibr" rid="cit14">14</xref>], as well as using CRP instead of ESR – DAS28-CRP (DAS28-CRP = 0.56 * √ NPJ + 0.28 * √ NPJ + 0.36 * ln(CRP+1) + 0.014 * PAA) [<xref ref-type="bibr" rid="cit15">15</xref>]. Calculation of DAS varieties required mathematical transformations, the manual implementation of which during a rheumatologist's appointment presented certain difficulties, due to which foreign authors proposed the Simplified Disease Activity Index (SDAI) (SDAI = NSJ + NPJ + CRP + PAA + GAP) [<xref ref-type="bibr" rid="cit16">16</xref>] and the Clinical Disease Activity Index (CDAI) (CDAI = NPJ + NPS + PAA + GAP) [<xref ref-type="bibr" rid="cit17">17</xref>], which are distinguished by their simplicity of calculation. In 2005, Balabanova RM and Olyunin YuA [<xref ref-type="bibr" rid="cit18">18</xref>] proposed using a simplified inflammatory activity index (SIA) RA = 10NSJ + PAA + ESR.</p></sec><sec><title>Rheumatoid arthritis disease activity indices in modern clinical practice</title><p>Clinical guidelines currently recommend the use of the DAS28-ESR scale to assess RA activity [<xref ref-type="bibr" rid="cit19">19</xref>]. It includes the number of painful joints, the number of swollen joints, the ESR value determined by Westergren in mm/h, and the overall assessment of the patient's activity determined by a visual analog scale.</p><p>Once calculated, the DAS28 activity index value is the basis for judging the disease activity at a specific point in time. The dynamics of activity indices (primarily DAS28) during therapy are used to assess the effectiveness of therapy and make a decision on its continuation or further intensification.</p><p>Regarding RA remission, clinical guidelines suggest using the following definition: CRP, NPJ, CRP (in mg/dL), PAA should be equal to 1 or less. This definition, called the Boolean criteria, was given in 2011 jointly by the American College of Rheumatology and the European League Against Rheumatism [<xref ref-type="bibr" rid="cit20">20</xref>]. It is noteworthy that in 2022, the authors propose a slightly different approach, with less stringent requirements for PAA, since this definition is more consistent with remission according to DAS28 [<xref ref-type="bibr" rid="cit21">21</xref>].</p><p>The assessment of RA activity and remission, regardless of the scale used, is based on the same parameters — the number of painful and swollen joints, the ESR or CRP value, and the subjective assessment of activity by the patient or physician using a visual analogue scale. Each component of the activity indices used in modern clinical practice may be a source of inaccuracy. In particular, because it is difficult for the patient to differentiate between RA itself and accompanying fibromyalgia, the values of NPS and PAA may be overestimated; the concomitant inflammatory phenotype of osteoarthritis may affect the assessment of NPS and NPJ; ESR and CRP are not specific markers for RA; in addition, the degree of their decrease during therapy with some drugs – interleukin-6 (IL-6) inhibitors, tumor necrosis factor-alpha (TNF-α) inhibitors, and JAK kinase inhibitors – may not correspond to the degree of clinical improvement. [<xref ref-type="bibr" rid="cit22">22</xref>] Finally, the quality of the assessment of clinical manifestations and the subjective assessment of activity depends to a certain extent on the qualifications of the specialist conducting such an assessment [<xref ref-type="bibr" rid="cit23">23</xref>].</p></sec><sec><title>Multiparametric activity indices</title><p>In the search for an objective quantitative method for measuring the activity of rheumatoid arthritis, multiparametric indices using exclusively laboratory parameters were developed. Thus, in 2013, a study was published [<xref ref-type="bibr" rid="cit24">24</xref>], which selected 12 biomarkers (CRP, interleukin-6, TNF receptor type 1, epidermal growth factor, vascular endothelial growth factor (VEGF), vascular endothelial adhesion molecule type 1, cartilage glycoprotein-39, matrix metalloproteinases 1 and 3, serum amyloid protein A, leptin and resistin), determined in blood serum using commercially available kits, and proposed the Multibiomarker Disease Activity (MBDA) index, calculated on their basis. According to the meta-analysis data [<xref ref-type="bibr" rid="cit25">25</xref>], MBDA values can be used to assess RA activity and predict the radiographic progression of RA. However, it is not currently used in widespread clinical practice. Researchers from the V.A. Nasonova Research Institute of Rheumatology proposed another set of biomarkers: fibroblast growth factor 2 (FGF2), monocyte chemoattractant protein 1 (MCP1), IL-1β, IL-6, IL-15, TNF-α [<xref ref-type="bibr" rid="cit26">26</xref>]. The introduction of multiparametric indices into routine clinical practice, based on biomarkers involved in the main links of RA pathogenesis, could serve as a valuable addition to the currently used clinical and laboratory activity indices.</p></sec><sec><title>Laboratory tests as an auxiliary method of activity evaluation</title><p>Routinely determined parameters of the general blood test are not components of the validated clinical indices of RA activity. Despite this, they can serve not only to monitor the safety of therapy but also for additional assessment of activity by the clinician. Thus, anemia due to chronic inflammation is the most common extra-articular manifestation of rheumatoid arthritis. Proinflammatory cytokines involved in the pathogenesis of RA are also involved in the development of anemia in RA by changing iron metabolism and suppressing erythropoiesis [<xref ref-type="bibr" rid="cit27">27</xref>]. Anemic syndrome is associated with a more severe course of RA [<xref ref-type="bibr" rid="cit28">28</xref>]. In addition, anemia can serve as a predictor of radiographic progression, including in patients in whom the calculated DAS28 value corresponds to remission [<xref ref-type="bibr" rid="cit29">29</xref>]. An increase in the red blood cell distribution width (RDW), determined automatically by hematology analyzers, also correlates with elevated CRP and ESR levels in the general population [<xref ref-type="bibr" rid="cit30">30</xref>], but in patients with RA, the predictive value of RDW in relation to other indicators of RA activity is low [31, 32].</p><p>A potential marker of inflammation in RA may be a change in the neutrophil-to-lymphocyte ratio (NLR). According to meta-analyses, an increase in this indicator positively correlates with RA activity [33, 34]. A study on the Russian population found a statistically significant correlation between NLR and NSJ, CRP, ESR and DAS28-ESR. According to the same study, the NLR value of 2.1 has an acceptable specificity (77%) with respect to an increase in CRP with absolute ease of calculation [<xref ref-type="bibr" rid="cit35">35</xref>]. An increase in the platelet-to-lymphocyte ratio (PLR) may also be of interest to the clinician. The above-mentioned meta-analyses [33, 34] confirmed an increase in this ratio in RA. In addition, a reliable difference in the NLR value was revealed between patients with remission and those with active RA [36, 37]. NLR may also be a potentially valuable marker for identifying interstitial lung disease in RA [<xref ref-type="bibr" rid="cit37">37</xref>].</p></sec><sec><title>The influence of COVID-19 on the evaluation of rheumatoid arthritis activity</title><p>Considering the COVID-19 pandemic, the clinical challenge is to differentiate the manifestations of RA activity directly from the variety of symptoms caused by SARS-Cov-2 infection. In 45% of individuals who have had COVID-19, symptoms persist for 4 months or more (so-called long-COVID, or post-COVID-19 syndrome) [<xref ref-type="bibr" rid="cit38">38</xref>]. A number of patients with COVID-19 experience long-term clinical manifestations as well as instrumental, laboratory, and immunological disorders, which are characteristic of immune-inflammatory rheumatic diseases [39, 40], particularly RA. In addition, the risk of developing RA also increases after a new coronavirus infection, which has been shown in several large cohorts of patients [41, 42].</p><p>The clinical manifestations most commonly encountered in post-COVID-19 syndrome are arthralgia, fatigue, and muscle weakness [43, 44, 45]. The severity of these manifestations in a patient with RA will directly affect the patient's assessment of the overall disease activity and the NSJ, which are components of all RA activity indices used in routine practice, as well as RA remission criteria.</p><p> A significant increase in acute-phase non-specific markers of systemic inflammation (ESR and CRP), which are included in the RA activity indices, also in some cases do not allow a clear distinction between the presence of an active immune-inflammatory process in RA and post-COVID-19 syndrome. According to a meta-analysis [<xref ref-type="bibr" rid="cit46">46</xref>], the degree of increase in ESR correlates with the severity of acute coronavirus infection. In patients with post-COVID-19 syndrome, according to a systematic review, ESR values are also significantly elevated for a long time, compared with the control group (healthy patients) [<xref ref-type="bibr" rid="cit38">38</xref>]. An increase (more than 10 mg/l) in CRP levels serves as an unfavorable prognostic criterion in the acute stage of COVID-19 [<xref ref-type="bibr" rid="cit47">47</xref>]. A systematic review also proved a long-term increase in CRP concentration in patients with post-COVID-19 syndrome compared with the control group (healthy patients) and completely recovered patients [<xref ref-type="bibr" rid="cit38">38</xref>]. CRP levels gradually decrease over the course of a year after COVID-19 infection, but generally do not return to reference values ​​[<xref ref-type="bibr" rid="cit48">48</xref>].</p><p>The previously discussed general blood test parameters, which are potentially informative for the clinician in the context of RA activity, undergo changes similar to RA during the acute phase of COVID-19 and in post-COVID-19 syndrome. Thus, according to a meta-analysis, in severe cases of the new coronavirus infection, the level of erythrocytes and hemoglobin decreases, and RDW increases [<xref ref-type="bibr" rid="cit49">49</xref>]. As for RDW, its higher values are associated with the severity of COVID-19 infection and mortality from it [<xref ref-type="bibr" rid="cit50">50</xref>]. The previously mentioned systematic review showed a decrease in hemoglobin levels in patients with post-COVID syndrome compared with the control group (healthy patients) and patients who recovered from acute infection [<xref ref-type="bibr" rid="cit38">38</xref>]. Neutrophilia, lymphopenia and increased neutrophil-lymphocyte ratio (NLR) are associated with a more severe course of coronavirus infection [47, 51, 52]. The applicability of NLR as a marker of post-COVID syndrome remains to be determined; according to a systematic review, increased lymphocyte levels are observed in post-COVID-19 syndrome [<xref ref-type="bibr" rid="cit53">53</xref>].</p><p>Multiparametric indices of rheumatoid arthritis activity are also likely to be affected by the post-COVID-19 syndrome. Currently, there are no data on the experience of using such indices in patients with RA and post-COVID-19 syndrome, as well as the dynamics of changes in the values of these indices in patients who have completely recovered from the acute phase of the new coronavirus infection or have post-COVID-19 syndrome. However, according to a systematic review, post-COVID-19 syndrome is associated with an increase in the concentration of CRP, TNF, IL-6, and VEGF in the blood serum [<xref ref-type="bibr" rid="cit38">38</xref>], which are components of existing multiparametric indices. In the absence of studies, it is reasonable to assume that the values of these indices may increase in patients with RA and post-COVID-19 syndrome.</p></sec><sec><title>Discussions </title><p>The problem of early diagnosis and prognosis of the development of immune-inflammatory rheumatic diseases (IIRD) after COVID-19 infection, rheumatological symptoms of post-COVID-19 syndrome and differential diagnosis between them remains one of the central problems in modern rheumatology and has general medical significance [<xref ref-type="bibr" rid="cit40">40</xref>]. Currently, clinicians do not have reliable methods for differentiating between the activity of RA itself and the manifestations of post-COVID-19 syndrome. This is largely due to the similarity of the pathogenetic mechanisms of immune-inflammatory rheumatic diseases, in particular RA, and the new coronavirus infection [<xref ref-type="bibr" rid="cit40">40</xref>]. The question of the need for such differentiation also remains controversial; perhaps the dynamics of joint and laboratory manifestations of RA in post-COVID-19 syndrome is part of a common pathogenetic continuum for them?</p><p>In IIRD, post-Covid-19 syndrome introduces additional theoretical and clinical questions into such fundamental concepts in rheumatology that have been widely discussed previously in RA [<xref ref-type="bibr" rid="cit54">54</xref>], such as the definition of "remission", its characteristics and types, biomarkers of efficacy, and resistance to therapy. Because most immunological laboratory tests have insufficient specificity, the appointment and evaluation of laboratory test results should be performed in strict accordance with the suspected diagnosis and data from a thorough clinical examination of patients. The degree of severity (exceeding the upper or lower value) of the deviation of each indicator from the reference values should also be considered. Unification of the studies conducted between laboratories plays an important role. The correct interpretation of the data obtained largely depends on the knowledge of doctors, a detailed and comprehensive assessment of the clinical picture, collection of anamnesis, knowledge of the possibilities of modern laboratory diagnostics and joint work with specialists in this field.</p></sec><sec><title>Conclusion</title><p>The new coronavirus infection COVID-19 has similar pathogenetic mechanisms with immune-inflammatory rheumatic diseases, and its clinical and laboratory consequences in the form of post-COVID-19 syndrome make it difficult to assess RA activity using existing activity indices, which raises the question of the need to take them into account when assessing the effectiveness and choosing treatment tactics for a patient with RA. Further prospective studies in this area are needed.</p></sec></body><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Насонов Е.Л., Лила А.М. Ревматоидный артрит: достижения и нерешенные проблемы. Терапевтический архив. 2019;91(5):4–7. doi.org/10.26442/00403660.2019.05.000259</mixed-citation><mixed-citation xml:lang="en">Rheumatoid arthritis: achievements and unresolved issues. Nasonov EL, Lila AM. Therapeutic Archive. 2019; 91(5):4–7. (In Russ.) doi.org/10.26442/00403660.2019.05.000259</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Плахова А.О., Сороцкая В.Н., Вайсман Д.Ш., Балабанова Р.М. Ревматоидный артрит: распространенность и заболеваемость в разных странах. Современная ревматология. 2025;19 (1):7–11. doi.org/10.14412/1996-7012-2025-1-7-11</mixed-citation><mixed-citation xml:lang="en">Plakhova AO, Sorotskaya VN, Vaisman DSh, Balabanova RM. Rheumatoid arthritis, its prevalence and incidence in different countries. Sovremennaya Revmatologiya = Modern Rheumatology Journal. 2025;19(1):7–11. (In Russ.) doi.org/10.14412/1996-7012-2025-1-7-11</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Галушко Е.А., Насонов Е.Л. Распространенность ревматических заболеваний в России. Альманах клинической медицины. 2018;46(1): 32-9. doi.org/10.18786/2072-0505-2018-46-1-32-39</mixed-citation><mixed-citation xml:lang="en">Galushko EA, Nasonov EL. Prevalence of rheumatic diseases in Russia. Almanac of Clinical Medicine. 2018;46(1):32-39. (In Russ.) doi.org/10.18786/2072-0505-2018-46-1-32-39</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Combe B, Landewe R, Daien CI, et al. 2016 update of the EULAR recommendations for the management of early arthritis. Ann Rheum Dis. 2017;76(6):948959. doi:10.1136/annrheumdis-2016-21060.</mixed-citation><mixed-citation xml:lang="en">Combe B, Landewe R, Daien CI, et al. 2016 update of the EULAR recommendations for the management of early arthritis. Ann Rheum Dis. 2017;76(6):948959. doi:10.1136/annrheumdis-2016-21060.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Kirwan JR, Chaput de Saintonge DM, Joyce CRB, et al. Clinical judgement in rheumatoid arthritis. I. Rheumatologists’ opinions and the development of ‘paper patients’. Ann Rheum Dis. 1983;(42):644647. doi.org/10.1136/ard.42.6.644.</mixed-citation><mixed-citation xml:lang="en">Kirwan JR, Chaput de Saintonge DM, Joyce CRB, et al. Clinical judgement in rheumatoid arthritis. I. Rheumatologists’ opinions and the development of ‘paper patients’. Ann Rheum Dis. 1983;(42):644647. doi.org/10.1136/ard.42.6.644.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Муравьев Ю.В. Дискуссионные вопросы отечественной классификации ревматоидного артрита. Научно-практическая ревматология. 2007;(2):80-83. doi.org/10.14412/1995-4484-2007-843</mixed-citation><mixed-citation xml:lang="en">Muravyev YV. Discussion questions of national classification of rheumatoid arthritis. Rheumatology Science and Practice. 2007;45(2):80-83. (In Russ.) doi.org/10.14412/1995-4484-2007-843</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Felson DT, Anderson JJ, Boers M, et al. The American college of rheumatology preliminary core set of disease activity measures for rheumatoid arthritis clinical trials. Arthritis &amp; Rheumatism. 1993;(36):729740. doi.org/10.1002/art.1780360601.</mixed-citation><mixed-citation xml:lang="en">Felson DT, Anderson JJ, Boers M, et al. The American college of rheumatology preliminary core set of disease activity measures for rheumatoid arthritis clinical trials. Arthritis &amp; Rheumatism. 1993;(36):729740. doi.org/10.1002/art.1780360601.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">van der Hejide DMFM, van ‘t Hof MA, van Riel PL, et al. Judging disease activity in clinical practice in rheumatoid arthritis: first step in the development of a disease activity score. Ann Rheum Dis. 1990;49(11):916-920. doi.org/10.1136/ard.49.11.916.</mixed-citation><mixed-citation xml:lang="en">van der Hejide DMFM, van ‘t Hof MA, van Riel PL, et al. Judging disease activity in clinical practice in rheumatoid arthritis: first step in the development of a disease activity score. Ann Rheum Dis. 1990;49(11):916-920. doi.org/10.1136/ard.49.11.916.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Lansbury J. Numerical method of evaluating the status of rheumatoid arthritis. Ann Rheum Dis. 1957;(16):101-107.</mixed-citation><mixed-citation xml:lang="en">Lansbury J. Numerical method of evaluating the status of rheumatoid arthritis. Ann Rheum Dis. 1957;(16):101-107.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Ritchie DM, Boyle JA, Mclnnes JM, et al. Clinical studies with an articular index for the assessment of joint tenderness in patients with rheumatoid arthritis. Q J Med. 1968;(7):393-406.</mixed-citation><mixed-citation xml:lang="en">Ritchie DM, Boyle JA, Mclnnes JM, et al. Clinical studies with an articular index for the assessment of joint tenderness in patients with rheumatoid arthritis. Q J Med. 1968;(7):393-406.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Hart LE, Tugwell P, Buchanan WW, et al. Grading of tenderness as a source of interrater error in the Ritchie articular index. J Rheumatol. 1985;12(4):716-717.</mixed-citation><mixed-citation xml:lang="en">Hart LE, Tugwell P, Buchanan WW, et al. Grading of tenderness as a source of interrater error in the Ritchie articular index. J Rheumatol. 1985;12(4):716-717.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Thompson PW, Silman AJ, Kirwan JR, et al. Articular indices of joint inflammation in rheumatoid arthritis. Correlation with the acute-phase response. Arthritis Rheum. 1987;(30):618-623. doi.org/10.1002/art.1780300603.</mixed-citation><mixed-citation xml:lang="en">Thompson PW, Silman AJ, Kirwan JR, et al. Articular indices of joint inflammation in rheumatoid arthritis. Correlation with the acute-phase response. Arthritis Rheum. 1987;(30):618-623. doi.org/10.1002/art.1780300603.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Prevoo ML, van Riel PL, van 't Hof MA, et al. Validity and reliability of joint indices. A longitudinal study in patients with recent onset rheumatoid arthritis. Br J Rheumatol. 1993;32(7):589-594. doi.org/10.1093/rheumatology/32.7.589.</mixed-citation><mixed-citation xml:lang="en">Prevoo ML, van Riel PL, van 't Hof MA, et al. Validity and reliability of joint indices. A longitudinal study in patients with recent onset rheumatoid arthritis. Br J Rheumatol. 1993;32(7):589-594. doi.org/10.1093/rheumatology/32.7.589.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Prevoo ML, van’t Hof MA, Kuper HH, et al. Modified disease activity scores that include twenty-eightjoint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum. 1995;38(1):44-48. doi.org/10.1002/art.1780380107.</mixed-citation><mixed-citation xml:lang="en">Prevoo ML, van’t Hof MA, Kuper HH, et al. Modified disease activity scores that include twenty-eightjoint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum. 1995;38(1):44-48. doi.org/10.1002/art.1780380107.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Fransen J, Welsing PM, De Keijzer RM, et al. Disease activity scores using C-reactive protein: CRP may replace ESR in the assessment of RA disease activity. Ann Rheum Dis. 2004;62(Suppl 1):151.</mixed-citation><mixed-citation xml:lang="en">Fransen J, Welsing PM, De Keijzer RM, et al. Disease activity scores using C-reactive protein: CRP may replace ESR in the assessment of RA disease activity. Ann Rheum Dis. 2004;62(Suppl 1):151.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Smolen JS, Breedveld FC, Schiff MH, et al. A simplified disease activity index for rheumatoid arthritis for use in clinical practice. Rheumatology (Oxford). 2003;42(2):244-257. doi.org/10.1093/rheumatology/keg072.</mixed-citation><mixed-citation xml:lang="en">Smolen JS, Breedveld FC, Schiff MH, et al. A simplified disease activity index for rheumatoid arthritis for use in clinical practice. Rheumatology (Oxford). 2003;42(2):244-257. doi.org/10.1093/rheumatology/keg072.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Aletaha D, Nell VP, Stamm T, et al. Acute phase reactants add little to composite disease activity indices for rheumatoid arthritis: validation of a clinical activity score. Arthritis Res Ther. 2005;7(4):796-806. doi.org/10.1186/ar1740.</mixed-citation><mixed-citation xml:lang="en">Aletaha D, Nell VP, Stamm T, et al. Acute phase reactants add little to composite disease activity indices for rheumatoid arthritis: validation of a clinical activity score. Arthritis Res Ther. 2005;7(4):796-806. doi.org/10.1186/ar1740.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Балабанова Р.М., Олюнин Ю.А. Клиническая классификация ревматоидного артрита (проект для обсуждения). Научно-практическая ревматология. 2005;43(2):83-84. doi.org/10.14412/19954484-2005-1534</mixed-citation><mixed-citation xml:lang="en">Balabanova RM, Olyunin YA. Clinical classification of rheumatoid arthritis (project for discussion). Rheumatology Science and Practice. 2005;43(2):83-84. (In Russ.) doi.org/10.14412/19954484-2005-1534</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Клинические рекомендации «Ревматоидный артрит». Ассоциация ревматологов России, 2024, https://cr.minzdrav.gov.ru/view-cr/250_3 (дата обращения 09.01.2025) https://cr.minzdrav.gov.ru/viewcr/250_3</mixed-citation><mixed-citation xml:lang="en">Clinical guidelines of the Russian Federation 2024: Rheumatoid Arthritis, The Association of Rheumatologists of Russia, retrieved 09.01.2025, from https://cr.minzdrav.gov.ru/viewcr/250_3</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Felson DT, Smolen JS, Wells G, et al. American College of Rheumatology/European League Against Rheumatism provisional definition of remission in rheumatoid arthritis for clinical trials. Arthritis Rheum. 2011;63(3):573-586. doi.org/10.1002/art.30129.</mixed-citation><mixed-citation xml:lang="en">Felson DT, Smolen JS, Wells G, et al. American College of Rheumatology/European League Against Rheumatism provisional definition of remission in rheumatoid arthritis for clinical trials. Arthritis Rheum. 2011;63(3):573-586. doi.org/10.1002/art.30129.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Studenic P, Aletaha D, de Wit M, et al. American College of Rheumatology/EULAR remission criteria for rheumatoid arthritis: 2022 revision. Ann Rheum Dis. 2023;82:74-80. doi:10.1136/ard-2022223413.</mixed-citation><mixed-citation xml:lang="en">Studenic P, Aletaha D, de Wit M, et al. American College of Rheumatology/EULAR remission criteria for rheumatoid arthritis: 2022 revision. Ann Rheum Dis. 2023;82:74-80. doi:10.1136/ard-2022223413.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Smolen JS, Landewé RBM, Bergstra SA, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2022 update. Ann Rheum Dis. 2023;82(1):3-18. doi.org/10.1136/ard-2022-223356.</mixed-citation><mixed-citation xml:lang="en">Smolen JS, Landewé RBM, Bergstra SA, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2022 update. Ann Rheum Dis. 2023;82(1):3-18. doi.org/10.1136/ard-2022-223356.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Новиков А.А., Александрова Е.Н., Насонов Е.Л. Создание и применение диагностического индекса, основанного на многопараметрическом анализе биомаркеров, для определения активности ревматоидного артрита. Научно-практическая ревматология. 2014;52(1):72-78. doi.org/10.14412/1995-4484-2014-72-78</mixed-citation><mixed-citation xml:lang="en">Novikov AA, Aleksandrova EN, Nasonov EL. Elaboration and application of the diagnostic index based on multivariate analysis of biomarkers to determine the activity of rheumatoid arthritis. Rheumatology Science and Practice. 2014;52(1):72-78. (In Russ.) doi.org/10.14412/1995-4484-2014-72-78</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Centola M, Cavet G, Shen Y, et al. Development of a Multi-Biomarker Disease Activity Test for Rheumatoid Arthritis. PLoS One. 2013;8(4):e60635. doi.org/10.1371/journal.pone.0060635.</mixed-citation><mixed-citation xml:lang="en">Centola M, Cavet G, Shen Y, et al. Development of a Multi-Biomarker Disease Activity Test for Rheumatoid Arthritis. PLoS One. 2013;8(4):e60635. doi.org/10.1371/journal.pone.0060635.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Meznerics FA, Kemény LV, Gunther E, et al. Multibiomarker disease activity score: an objective tool for monitoring rheumatoid arthritis? A systematic review and meta-analysis, Rheumatology (Oxford). 2023;62(6):2048-2059. doi.org/10.1093/rheumatology/keac715.</mixed-citation><mixed-citation xml:lang="en">Meznerics FA, Kemény LV, Gunther E, et al. Multibiomarker disease activity score: an objective tool for monitoring rheumatoid arthritis? A systematic review and meta-analysis, Rheumatology (Oxford). 2023;62(6):2048-2059. doi.org/10.1093/rheumatology/keac715.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Новиков A.A., Александрова Е.Н., Герасимов А.Н. и др. Применение многопараметрического анализа лабораторных биомаркеров для оценки активности ревматоидного артрита. Научно-практическая ревматология. 2015;53(6):591–595. doi.org/10.14412/1995-4484-2015-591-595</mixed-citation><mixed-citation xml:lang="en">Novikov AA, Aleksandrova EN, Gerasimov AN, et al. Use of multiparameter analysis of laboratory biomarkers to assess rheumatoid arthritis activity. Rheumatology Science and Practice. 2015;53(6):591-595. (In Russ.) doi.org/10.14412/1995-4484-2015-591-595</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Song SNJ, Iwahashi M, Tomosugi N, et al. Comparative evaluation of the effects of treatment with tocilizumab and TNF-α inhibitors on serum hepcidin, anemia response and disease activity in rheumatoid arthritis patients. Arthritis Res Ther. 2013;15(5):R141. doi.org/10.1186/ar4323.</mixed-citation><mixed-citation xml:lang="en">Song SNJ, Iwahashi M, Tomosugi N, et al. Comparative evaluation of the effects of treatment with tocilizumab and TNF-α inhibitors on serum hepcidin, anemia response and disease activity in rheumatoid arthritis patients. Arthritis Res Ther. 2013;15(5):R141. doi.org/10.1186/ar4323.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Сизиков А.Э., Гельфгат Е.Л., Коненкова Л.П., и др. Взаимосвязь анемии с клинико-лабораторными показателями активности воспалительного процесса у больных ревматоидным артритом. Научно-практическая ревматология. 2007;45(5):18-23. doi.org/10.14412/1995-4484-2007-16</mixed-citation><mixed-citation xml:lang="en">Sizikov AE, Gelfgat EL, Konenkova LP, et al. Relationship of anemia with clinicolaboratory measures of inflammation activity in patients with rheumatoid arthritis. Rheumatology Science and Practice. 2007;45(5):18-23. (In Russ.) doi.org/10.14412/1995-4484-2007-16</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Möller B, Scherer A, Förger F, et al. Anaemia may add information to standardized disease activity assessment to predict radiographic damage in rheumatoid arthritis: a prospective cohort study. Ann Rheum Dis. 2014;(73):691–696. doi.org/10.1136/annrheumdis-2012-202709.</mixed-citation><mixed-citation xml:lang="en">Möller B, Scherer A, Förger F, et al. Anaemia may add information to standardized disease activity assessment to predict radiographic damage in rheumatoid arthritis: a prospective cohort study. Ann Rheum Dis. 2014;(73):691–696. doi.org/10.1136/annrheumdis-2012-202709.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Lippi G, Targher G, Montagnana M, et al. Relation Between Red Blood Cell Distribution Width and Inflammatory Biomarkers in a Large Cohort of Unselected Outpatients. Arch Pathol Lab Med. 2009;133(4):628–632. doi.org/10.5858/133.4.628.</mixed-citation><mixed-citation xml:lang="en">Lippi G, Targher G, Montagnana M, et al. Relation Between Red Blood Cell Distribution Width and Inflammatory Biomarkers in a Large Cohort of Unselected Outpatients. Arch Pathol Lab Med. 2009;133(4):628–632. doi.org/10.5858/133.4.628.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Remalante PPM, Salido EO, Penserga EG, et al. Red cell distribution width and neutrophil–lymphocyte ratio in rheumatoid arthritis. Rheumatol Int. 2020;(40):1631–1637. doi.org/10.1007/s00296-020-04685-3.</mixed-citation><mixed-citation xml:lang="en">Remalante PPM, Salido EO, Penserga EG, et al. Red cell distribution width and neutrophil–lymphocyte ratio in rheumatoid arthritis. Rheumatol Int. 2020;(40):1631–1637. doi.org/10.1007/s00296-020-04685-3.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Kushwaha S, Kaushik R, Kakkar R, et al. Red cell distribution width and neutrophil-lymphocyte ratio as inflammatory markers in patients with rheumatoid arthritis. Reumatologia. 2023;61(1):13-20. doi.org/10.5114/reum/161286.</mixed-citation><mixed-citation xml:lang="en">Kushwaha S, Kaushik R, Kakkar R, et al. Red cell distribution width and neutrophil-lymphocyte ratio as inflammatory markers in patients with rheumatoid arthritis. Reumatologia. 2023;61(1):13-20. doi.org/10.5114/reum/161286.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Erre GL, Paliogiannis P, Castagna F, et al. Meta-analysis of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio in rheumatoid arthritis. Eur J Clin Invest. 2019;49(1):e13037. doi.org/10.1111/eci.13037.</mixed-citation><mixed-citation xml:lang="en">Erre GL, Paliogiannis P, Castagna F, et al. Meta-analysis of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio in rheumatoid arthritis. Eur J Clin Invest. 2019;49(1):e13037. doi.org/10.1111/eci.13037.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Lee YH. Association between the neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio and rheumatoid arthritis and their correlations with the disease activity: A meta-analysis. J Rheum Dis. 2018;25:169-178. doi.org/10.4078/jrd.2018.25.3.169.</mixed-citation><mixed-citation xml:lang="en">Lee YH. Association between the neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio and rheumatoid arthritis and their correlations with the disease activity: A meta-analysis. J Rheum Dis. 2018;25:169-178. doi.org/10.4078/jrd.2018.25.3.169.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Муравьев Ю.В., Лебедева В.В., Глухова С.И. Изучение показателей периферической крови для диагностики воспалительной активности при ревматоидном артрите. Научно-практическая ревматология. 2022;60(1):52–56. doi.org/10.47360/1995-4484-2022-52-56</mixed-citation><mixed-citation xml:lang="en">Muravyov YuV, Lebedeva VV, Glukhova SI. Analysis of peripheral blood parameters for the diagnosis of inflammatory activity in rheumatoid arthritis. Nauchno-Prakticheskaya Revmatologiya = Rheumatology Science and Practicee. 2022;60(1):52–56. (In Russ.) doi.org/10.47360/1995-4484-2022-52-56</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Uslu AU, Küçük A, Şahin A, et al. Two new inflammatory markers associated with Disease Activity Score-28 in patients with rheumatoid arthritis: neutrophil-lymphocyte ratio and platelet-lymphocyte ratio. Int J Rheum Dis. 2015;18:731-735. doi.org/10.1111/1756-185X.12582.</mixed-citation><mixed-citation xml:lang="en">Uslu AU, Küçük A, Şahin A, et al. Two new inflammatory markers associated with Disease Activity Score-28 in patients with rheumatoid arthritis: neutrophil-lymphocyte ratio and platelet-lymphocyte ratio. Int J Rheum Dis. 2015;18:731-735. doi.org/10.1111/1756-185X.12582.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Chen Q, Chen DY, Xu XZ, et al. Platelet/lymphocyte, lymphocyte/monocyte, and neutrophil/lymphocyte ratios as biomarkers in patients with rheumatoid arthritis and rheumatoid arthritis-associated interstitial lung disease. Med Sci Monit. 2019;25:64746481. doi.org/10.12659/MSM.916583.</mixed-citation><mixed-citation xml:lang="en">Chen Q, Chen DY, Xu XZ, et al. Platelet/lymphocyte, lymphocyte/monocyte, and neutrophil/lymphocyte ratios as biomarkers in patients with rheumatoid arthritis and rheumatoid arthritis-associated interstitial lung disease. Med Sci Monit. 2019;25:64746481. doi.org/10.12659/MSM.916583.</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Lai YJ, Liu SH, Manachevakul S, et al. Biomarkers in long COVID-19: A systematic review. Front Med (Lausanne). 2023;10:1085988. doi.org/10.3389/fmed.2023.1085988.</mixed-citation><mixed-citation xml:lang="en">Lai YJ, Liu SH, Manachevakul S, et al. Biomarkers in long COVID-19: A systematic review. Front Med (Lausanne). 2023;10:1085988. doi.org/10.3389/fmed.2023.1085988.</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Белов Б.С., Лила А.С. COVID-19 и ревматология: год спустя. Научно-практическая ревматология. 2021;(1):31–36. doi.org/10.47360/1995-4484-2021-31-36</mixed-citation><mixed-citation xml:lang="en">Belov BS, Lila AM. COVID-19 and rheumatology: A year later. Nauchno-Prakticheskaya Revmatologiya = Rheumatology Science and Practice. 2021;59(1):31-36. (In Russ.) doi.org/10.47360/1995-4484-2021-31-36</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Насонов Е.Л. Пандемия коронавирусной болезни 2019 (COVID-19) и аутоиммунные ревматические заболевания: итоги и перспективы. Научно-практическая ревматология. 2024;62(1):32–54. doi.org/10.47360/1995-4484-2024-32-54</mixed-citation><mixed-citation xml:lang="en">Nasonov EL. Coronavirus disease 2019 (COVID-19) pandemic and autoimmune rheumatic diseases: Outcomes and prospects. Nauchno-Prakticheskaya Revmatologiya = Rheumatology Science and Practice. 2024;62(1):32-54. (In Russ.). doi.org/10.47360/1995-4484-2024-32-54</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Chang R, Yen-Ting Chen T, Wang SI, et al. Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study. EClinicalMedicine. 2023;(56):101783 doi.org/10.1016/j.eclinm.2022.101783.</mixed-citation><mixed-citation xml:lang="en">Chang R, Yen-Ting Chen T, Wang SI, et al. Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study. EClinicalMedicine. 2023;(56):101783 doi.org/10.1016/j.eclinm.2022.101783.</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Tesch F, Ehm F, Vivirito A, et al. Incident autoimmune diseases in association with SARS-CoV-2 infection: a matched cohort study. Clin Rheumatol. 2023;42(10):2905-2914. doi.org/10.1007/s10067-023-06670-0.</mixed-citation><mixed-citation xml:lang="en">Tesch F, Ehm F, Vivirito A, et al. Incident autoimmune diseases in association with SARS-CoV-2 infection: a matched cohort study. Clin Rheumatol. 2023;42(10):2905-2914. doi.org/10.1007/s10067-023-06670-0.</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Carfì A, Bernabei R, Landi F, Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent Symptoms in Patients After Acute COVID-19. JAMA. 2020;324(6):603-605. doi.org/10.1001/jama.2020.12603.</mixed-citation><mixed-citation xml:lang="en">Carfì A, Bernabei R, Landi F, Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent Symptoms in Patients After Acute COVID-19. JAMA. 2020;324(6):603-605. doi.org/10.1001/jama.2020.12603.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Hoshijima H, Mihara T, Seki H, et al. Incidence of long-term post-acute sequelae of SARS-CoV-2 infection related to pain and other symptoms: A systematic review and meta-analysis. PloS One 2023;18(11): e0250909. doi.org/10.1371/journal.pone.0250909.</mixed-citation><mixed-citation xml:lang="en">Hoshijima H, Mihara T, Seki H, et al. Incidence of long-term post-acute sequelae of SARS-CoV-2 infection related to pain and other symptoms: A systematic review and meta-analysis. PloS One 2023;18(11): e0250909. doi.org/10.1371/journal.pone.0250909.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Nalbandian A, Sehgal K, Gupta A, et al. Post-acute COVID-19 syndrome. Nat Med 2021; 27(4):601-615. doi.org/10.1038/s41591-021-01283-z.</mixed-citation><mixed-citation xml:lang="en">Nalbandian A, Sehgal K, Gupta A, et al. Post-acute COVID-19 syndrome. Nat Med 2021; 27(4):601-615. doi.org/10.1038/s41591-021-01283-z.</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Zeng F, Huang Y, Guo Y, et al. Association of inflammatory markers with the severity of COVID-19: A meta-analysis. Int J Infect Dis. 2020;96:467-474. doi.org/10.1016/j.ijid.2020.05.055</mixed-citation><mixed-citation xml:lang="en">Zeng F, Huang Y, Guo Y, et al. Association of inflammatory markers with the severity of COVID-19: A meta-analysis. Int J Infect Dis. 2020;96:467-474. doi.org/10.1016/j.ijid.2020.05.055</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Huang I, Pranata R, Lim MA, et al. C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis. Ther Adv Respir Dis. 2020;14:1753466620937175. doi.org/10.1177/1753466620937175.</mixed-citation><mixed-citation xml:lang="en">Huang I, Pranata R, Lim MA, et al. C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis. Ther Adv Respir Dis. 2020;14:1753466620937175. doi.org/10.1177/1753466620937175.</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">García-Abellán J, Fernández M, Padilla S, et al. Immunologic phenotype of patients with longCOVID syndrome of 1-year duration. Front Immunol. 2022;13:920627. doi.org/10.3389/fimmu.2022.920627.</mixed-citation><mixed-citation xml:lang="en">García-Abellán J, Fernández M, Padilla S, et al. Immunologic phenotype of patients with longCOVID syndrome of 1-year duration. Front Immunol. 2022;13:920627. doi.org/10.3389/fimmu.2022.920627.</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Taneri PE, Gómez-Ochoa SA, Llanaj E, et al. Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis. Eur J Epidemiol. 2020;35(8):763-773. doi.org/10.1007/s10654-020-00678-5.</mixed-citation><mixed-citation xml:lang="en">Taneri PE, Gómez-Ochoa SA, Llanaj E, et al. Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis. Eur J Epidemiol. 2020;35(8):763-773. doi.org/10.1007/s10654-020-00678-5.</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Zinellu A, Mangoni AA. Red Blood Cell Distribution Width, Disease Severity, and Mortality in Hospitalized Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis. J Clin Med. 2021;10(2):286. doi.org/10.3390/jcm10020286.</mixed-citation><mixed-citation xml:lang="en">Zinellu A, Mangoni AA. Red Blood Cell Distribution Width, Disease Severity, and Mortality in Hospitalized Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis. J Clin Med. 2021;10(2):286. doi.org/10.3390/jcm10020286.</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Henry B, Cheruiyot I, Vikse J, et al. Lymphopenia and neutrophilia at admission predicts severity and mortality in patients with COVID-19: a metaanalysis. Acta Biomed. 2020;91(3):e2020008. doi.org/10.23750/abm.v91i3.10217.</mixed-citation><mixed-citation xml:lang="en">Henry B, Cheruiyot I, Vikse J, et al. Lymphopenia and neutrophilia at admission predicts severity and mortality in patients with COVID-19: a metaanalysis. Acta Biomed. 2020;91(3):e2020008. doi.org/10.23750/abm.v91i3.10217.</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Ulloque-Badaracco JR, Ivan Salas-Tello W, Al-Kassab-Córdova A, et al. Prognostic value of neutrophil-to-lymphocyte ratio in COVID-19 patients: A systematic review and meta-analysis. Int J Clin Pract. 2021;75(11):e14596. doi.org/10.1111/ijcp.14596.</mixed-citation><mixed-citation xml:lang="en">Ulloque-Badaracco JR, Ivan Salas-Tello W, Al-Kassab-Córdova A, et al. Prognostic value of neutrophil-to-lymphocyte ratio in COVID-19 patients: A systematic review and meta-analysis. Int J Clin Pract. 2021;75(11):e14596. doi.org/10.1111/ijcp.14596.</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Yong SJ, Halim A, Halim M, et al. Inflammatory and vascular biomarkers in post-COVID-19 syndrome: A systematic review and meta-analysis of over 20 biomarkers. Rev Med Virol. 2023;33(2):e2424. doi.org/10.1002/rmv.2424.</mixed-citation><mixed-citation xml:lang="en">Yong SJ, Halim A, Halim M, et al. Inflammatory and vascular biomarkers in post-COVID-19 syndrome: A systematic review and meta-analysis of over 20 biomarkers. Rev Med Virol. 2023;33(2):e2424. doi.org/10.1002/rmv.2424.</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Насонов Е.Л., Олюнин Ю.А., Лила А.М. Ревматоидный артрит: проблемы ремиссии и резистентности к терапии. Научно-практическая ревматология. 2018; 3:263-271. doi.org/10.14412/1995-4484-2018-263-271.</mixed-citation><mixed-citation xml:lang="en">Nasonov EL, Olyunin YuA, Lila AM. Rheumatoid arthritis: the problems of remission and therapy resistance. Nauchno-Prakticheskaya Revmatologiya = Rheumatology Science and Practice. 2018;56(3):363271 (In Russ.). doi.org/10.14412/1995-4484-2018-263-271.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
