Π‘ΡΠ°ΡΠΈΠΈ ΠΎΡ Π΄ΡΡΠ³ΠΈ ΡΠΏΠΈΡΠ°Π½ΠΈΡ / Other Journal Articles
ΠΠΎΡΡΠΎΡΠ½Π΅Π½ URI Π·Π° ΡΠ°Π·ΠΈ ΠΎΠ±ΡΠ½ΠΎΡΡ
ΠΠΎΠ»Π΅ΠΊΡΠΈΡΡΠ° ΡΡΠ΄ΡΡΠΆΠ° ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΈ ΠΎΡ ΡΠΏΠΈΡΠ°Π½ΠΈΡ (ΠΎΠ±Π·ΠΎΡΠΈ, ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π½Π° ΡΠ»ΡΡΠ°ΠΈ, ΠΎΡΠΈΠ³ΠΈΠ½Π°Π»Π½ΠΈ ΡΡΠ°ΡΠΈΠΈ):
β’pre-print Π΅ Π²Π΅ΡΡΠΈΡ Π½Π° ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π», ΠΊΠΎΠΉΡΠΎ Π½Π΅ Π΅ ΡΠ΅ΡΠ΅Π½Π·ΠΈΡΠ°Π½ ΠΈΠ»ΠΈ ΡΠΈΠ½Π°Π»Π½Π°ΡΠ° Π²Π΅ΡΡΠΈΡ Π½Π° Π°Π²ΡΠΎΡΠ°(Π°Π²ΡΠΎΡΠΈΡΠ΅).
β’post-print Π΅ Π²Π΅ΡΡΠΈΡ, ΠΏΡΠ΅ΠΌΠΈΠ½Π°Π»Π° ΠΏΡΠΎΡΠ΅ΡΠ° Π½Π° ΡΠ΅ΡΠ΅Π½Π·ΠΈΡΠ°Π½Π΅; ΡΠΈΠ½Π°Π»Π½Π°ΡΠ° Π²Π΅ΡΡΠΈΡ Π½Π° ΠΈΠ·Π΄Π°ΡΠ΅Π»Ρ.
ΠΡΠ΅Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅
Π’ΡΡΡΠ΅Π½Π΅ Π‘ΡΠ°ΡΠΈΠΈ ΠΎΡ Π΄ΡΡΠ³ΠΈ ΡΠΏΠΈΡΠ°Π½ΠΈΡ / Other Journal Articles ΠΎΡ ΠΠ²ΡΠΎΡ "ΠΠ»ΡΡΠ½ΠΊΠΎΠ²Π°/Altankova, Π./I."
ΠΠΎΠΊΠ°Π·Π°Π½ΠΈ 1 - 2 ΠΎΡ 2
Π Π΅Π·ΡΠ»ΡΠ°ΡΠΈ Π½Π° Π²ΡΡΠΊΠ° ΡΡΡΠ°Π½ΠΈΡΠ°
ΠΠΏΡΠΈΠΈ Π·Π° ΡΠΎΡΡΠΈΡΠ°Π½Π΅
- ΠΠΎΠΊΡΠΌΠ΅Π½ΡΠΠ·ΡΠ»Π΅Π΄Π²Π°Π½Π΅ Π² ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»Π΅Π½ ΠΏΠ»Π°Π½ Π½Π° Π°Π²ΡΠΎΠ°Π½ΡΠΈΡΠ΅Π»Π°, Π½Π°ΡΠΎΡΠ΅Π½ΠΈ ΡΡΠ΅ΡΡ ΡΠΈΡΡΡΠ»ΠΈΠ½ΠΈΡΠ°Π½ΠΈ ΠΏΠ΅ΠΏΡΠΈΠ΄ΠΈ (anti-CCP2 ΠΈ anti-MCV Π°Π½ΡΠΈΡΠ΅Π»Π°)(Π¦Π΅Π½ΡΡΠ°Π»Π½Π° ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠ° Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°, ΠΠ£ Π‘ΠΎΡΠΈΡ / Central Medical Library, MU β Sofia, 2012-11) ΠΠ²Π°Π½ΠΎΠ²Π°-Π’ΠΎΠ΄ΠΎΡΠΎΠ²Π°/Ivanova-Todorova, Π./E.; ΠΡΡΠΊΡΠΈΠ΅Π²/Kyurkchiev, Π./D.; ΠΠ°ΡΠΈΠ½ΡΠ΅Π²Π°/ Marincheva, Π‘./S.; Π Π°ΡΠΊΠΎΠ²/Rashkov, Π ./R.; ΠΠ»ΡΡΠ½ΠΊΠΎΠ²Π°/Altankova, Π./I.ΠΠ²ΡΠΎΠ°Π½ΡΠΈΡΠ΅Π»Π°ΡΠ°, Π½Π°ΡΠΎΡΠ΅Π½ΠΈ ΡΡΠ΅ΡΡ ΡΠΈΡΡΡΠ»ΠΈΠ½ΠΈΡΠ°Π½ΠΈ ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΎΠ²ΠΈ Π°Π½ΡΠΈΠ³Π΅Π½ΠΈ (ΠΠ‘Π Π), ΠΈΠ³ΡΠ°ΡΡ Π²Π°ΠΆΠ½Π° ΡΠΎΠ»Ρ Π² ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π°ΡΠ° Π½Π° ΡΠ΅Π²ΠΌΠ°ΡΠΎΠΈΠ΄Π½ΠΈΡ Π°ΡΡΡΠΈΡ (RA) ΠΈ ΡΠ° ΡΠ°ΡΡ ΠΎΡ ΡΠ΅ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ½ΠΈΡΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ, ΠΏΡΠ΅ΠΏΠΎΡΡΡΠ°Π½ΠΈ ΠΎΡ EULAR. Π¦Π΅Π»ΡΠ° Π½Π° ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½Π΅ΡΠΎ Π΅ Π΄Π° ΡΠ΅ ΡΡΠ°Π²Π½ΡΡ Π΄Π²Π° ΠΊΠΎΠΌΠ΅ΡΡΠΈΠ°Π»Π½ΠΈ ΡΠ΅ΡΡΠ° Π·Π° ΠΠ‘Π Π ΠΏΠΎ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ Π½Π° ΡΠ΅ΡΡΠΎΡΠ° Π½Π° ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»Π½ΠΈΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠΈ, ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»Π½ΠΎΡΡΡΠ°, ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡΠ°, ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»Π½Π°ΡΠ° ΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»Π½Π°ΡΠ° ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΈΠ²Π½Π° ΡΡΠΎΠΉΠ½ΠΎΡΡ (PPV, NPV). ΠΠ·ΡΠ»Π΅Π΄Π²Π°Π½ΠΈ ΡΠ° ΡΠ΅ΡΡΠΌΠΈ ΠΎΡ 65 Π±ΠΎΠ»Π½ΠΈ Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΠΈ ΡΡΠ°Π²Π½ΠΈ ΠΎΠΏΠ»Π°ΠΊΠ²Π°Π½ΠΈΡ ΠΈ 20 Π·Π΄ΡΠ°Π²ΠΈ Π»ΠΈΡΠ°. ΠΠ°ΡΠΈΠ΅Π½ΡΠΈΡΠ΅ Π±ΡΡ Π° ΡΠ°Π·ΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈ Π² 3 Π³ΡΡΠΏΠΈ: 1- Ρ Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° RΠ, 2- Ρ RΠ Ρ Π΄ΡΡΠ³ΠΈ Π°Π²ΡΠΎΠΈΠΌΡΠ½Π½ΠΈ Π±ΠΎΠ»Π΅ΡΡΠΈ ΠΈ 3 - Ρ Π΄ΡΡΠ³ΠΈ ΡΡΠ°Π²Π½ΠΈ ΠΏΡΠΎΡΠ²ΠΈ (Π°Π½ΠΊΠΈΠ»ΠΎΠ·ΠΈΡΠ°Ρ ΡΠΏΠΎΠ½Π΄ΠΈΠ»ΠΈΡ, ΠΏΠΎΠ΄Π°Π³ΡΠ°, ΠΎΡΡΠ΅ΠΎΠ°ΡΡΡΠΎΠ·Π°). ΠΠ·ΡΠ»Π΅Π΄Π²Π°Π½Π΅ΡΠΎ Π±Π΅ΡΠ΅ ΠΈΠ·Π²ΡΡΡΠ΅Π½ΠΎ Ρ Π΄Π²Π° ΡΡΡΠ³ΠΎΠ²ΡΠΊΠΈ ΡΠ΅ΡΡΠ°: anti-MCV, Orgentec, Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅Π½ ΠΈΠΌΡΠ½ΠΎΠ°Π½Π°Π»ΠΈΠ·Π°ΡΠΎΡ βAlegriaβ, Orgentec, ΠΈ anti-CCP2 ELISA, Axis Shield, ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡΠ΅ Π΄Π°Π½Π½ΠΈ Π±ΡΡ Π° ΠΎΠ±ΡΠ°Π±ΠΎΡΠ΅Π½ΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ. ΠΠ°ΠΉ-Π²ΠΈΡΠΎΠΊΠ° ΡΠ΅ΡΡΠΎΡΠ° Π½Π° Π°Π½ΡΠΈ-MCV ΠΈ Π°Π½ΡΠΈ-Π‘Π‘Π 2 ΠΡ Π±Π΅ ΡΡΡΠ°Π½ΠΎΠ²Π΅Π½Π° ΠΏΡΠΈ Π±ΠΎΠ»Π½ΠΈΡΠ΅ Ρ RΠ -ΡΡΠΎΡΠ²Π΅ΡΠ½ΠΎ 92.86% ΠΈ 73.81%, ΠΈ Π·Π½Π°ΡΠΈΡΠ΅Π»Π½ΠΎ ΠΏΠΎ-Π½ΠΈΡΠΊΠ° ΠΏΡΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΈΡΠ΅ Π² Π΄ΡΡΠ³ΠΈΡΠ΅ Π΄Π²Π΅ Π³ΡΡΠΏΠΈ. Π ΠΊΠΎΠ½ΡΡΠΎΠ»Π½Π°ΡΠ° Π³ΡΡΠΏΠ° Π·Π΄ΡΠ°Π²ΠΈ Π»ΠΈΡΠ° Π½Π΅ Π±ΡΡ Π° ΡΡΡΠ°Π½ΠΎΠ²Π΅Π½ΠΈ ΠΠ‘Π Π. Π Π΅Π·ΡΠ»ΡΠ°ΡΠΈΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Ρ Π° ΠΏΠΎ-Π²ΠΈΡΠΎΠΊΠ° Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ½Π° ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»Π½ΠΎΡΡ Π½Π° Π°Π½ΡΠΈ-ΠΠ‘V Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ Ρ Π°Π½ΡΠΈ-Π‘Π‘Π 2 ΡΠ΅ΡΡΠ° ΠΏΡΠΈ Π²ΡΠΈΡΠΊΠΈ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½ΠΈ Π³ΡΡΠΏΠΈ, Π° ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡΠ° ΠΈ Π½Π° Π΄Π²Π°ΡΠ° ΡΠ΅ΡΡΠ° Π±Π΅ΡΠ΅ 100%. ΠΠ΅ΡΠ΅ ΡΡΡΠ°Π½ΠΎΠ²Π΅Π½ΠΎ, ΡΠ΅ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»Π½ΠΈΡΠ΅ ΡΡΠΎΠΉΠ½ΠΎΡΡΠΈ Π² Π³ΡΡΠΏΠ°ΡΠ° Π½Π° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΈ Ρ Π Π ΡΠ΅ Π΄Π²ΠΈΠΆΠ°Ρ Π²ΡΠ² Π²ΠΈΡΠΎΠΊΠΈΡ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ Π½Π° ΠΈΠ·ΠΌΠ΅ΡΠ²Π°Π½Π΅ΡΠΎ ΠΈ Π½Π° Π΄Π²Π°ΡΠ° ΡΠ΅ΡΡΠ°, Π΄ΠΎΠΊΠ°ΡΠΎ ΠΏΡΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΈΡΠ΅ ΠΎΡ ΠΎΡΡΠ°Π½Π°Π»ΠΈΡΠ΅ Π΄Π²Π΅ Π³ΡΡΠΏΠΈ ΡΠ° Π² Π½ΠΈΡΠΊΠΈ ΡΡΠΎΠΉΠ½ΠΎΡΡΠΈ. ΠΠ΅ΡΡΠ²ΠΏΠ°Π΄Π΅Π½ΠΈΡΡΠ° Π² ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠΈΡΠ΅ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅ΡΡΠΎΠ²Π΅ΡΠ΅ Π±ΡΡ Π° Π² Π½ΠΈΡΠΊΠΈΡ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ Π½Π° ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»Π½ΠΈΡΠ΅ ΡΡΠΎΠΉΠ½ΠΎΡΡΠΈ, ΠΈ ΡΠΎ Π³Π»Π°Π²Π½ΠΎ Π²ΡΠ² Π²ΡΠΎΡΠ° ΠΈ ΡΡΠ΅ΡΠ° Π³ΡΡΠΏΠ° Π±ΠΎΠ»Π½ΠΈ. PPV ΠΈ ΠΏΡΠΈ Π΄Π²Π°ΡΠ° ΡΠ΅ΡΡΠ° Π΅ 100%, a NPV Π±Π΅ΡΠ΅ ΠΏΠΎ-Π²ΠΈΡΠΎΠΊΠ° ΠΏΡΠΈ Π°Π½ΡΠΈ-MCV ΡΠ΅ΡΡΠ° Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ Ρ Π°Π½ΡΠΈ-Π‘Π‘Π . ***** Summary. Antibodies directed against citrullinated peptides (ACPA) play an important role in the pathogenesis of rheumatoid arthritis (RA) and are a part of the criteria, recommended by the EULAR. The aim of this study was to compare the diagnostic values of two commercially available assaysο οο second generation anti-cyclic citrullinated peptide (CCP2) antibodies ELISA (Axis Shield) and genetically modified citrullinated vimentin (anti-MCV) automated ELISA system, βAlegriaβ (Orgentec). Sixty five patients were distributed in 3 groups: the first group included patients with RA; the second group β these with RA and other overlap diseases; and the third group, patients with other arthropathies (ankylosing spondylitis, osteoarthritis and podagra); 20 healthy individuals (control group) were tested to determine the frequency, sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of both tests. The highest frequencies of anti-MCV and anti-CCP2 antibodies were observed in the RA patients: 92.86% and 73.81% respectively. The frequency was lower in the patients with other arthropathies. In the control healthy group, the ACPA was not detected. The results showed higher diagnostic sensibility for anti-MCV in comparison with anti-CCP2 in all tested groups. Differences between the two methods were only found in the detection of low concentrations of antibodies, mainly in the group of non-RA patients. PPV in both tests was 100%. NPV was higher in anti-MCV than anti-CCP2. In conclusion, our results have showed that the measurement of serum anti-MCV level as a marker is useful and more sensitive for the diagnosis of RA than anti-CCP2, but the combined use of anti- MCV and anti-CCP2 may serve as a better prognostic factor than either method alone.
- ΠΠΎΠΊΡΠΌΠ΅Π½ΡΠ‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ Π½Π° ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΈΡΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π½Π° Bohan&Peter ΠΈ Troyanov ΠΏΡΠΈ Π³ΡΡΠΏΠ° Π±ΠΎΠ»Π½ΠΈ Ρ ΠΌΠΈΠΎΠ·ΠΈΡ Π² Π±ΡΠ»Π³Π°ΡΡΠΊΠ°ΡΠ° ΠΏΠΎΠΏΡΠ»Π°ΡΠΈΡ(Π¦Π΅Π½ΡΡΠ°Π»Π½Π° ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠ° Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°, ΠΠ£ Π‘ΠΎΡΠΈΡ / Central Medical Library, MU β Sofia, 2014-08) ΠΠ°Π»ΠΈΠ½ΠΎΠ²Π°/Kalinova, Π./D.; ΠΠ²Π°Π½ΠΎΠ²Π°-Π’ΠΎΠ΄ΠΎΡΠΎΠ²Π°/Ivanova-Todorova, Π./E.; ΠΡΡΠΊΡΠΈΠ΅Π²/Kurkchiev, Π./D.; ΠΠ»ΡΡΠ½ΠΊΠΎΠ²Π°/Altankova, Π./I.; Π Π°ΡΠΊΠΎΠ²/Rashkov, Π ./R.ΠΠ²ΡΠΎΠΈΠΌΡΠ½Π½ΠΈΡΡ ΠΌΠΈΠΎΠ·ΠΈΡ Π΅ ΡΠΈΠ½Π΄ΡΠΎΠΌ, Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΈΡΠ°Ρ ΡΠ΅ Ρ Ρ ΡΠΎΠ½ΠΈΡΠ½ΠΎ ΠΌΡΡΠΊΡΠ»Π½ΠΎ Π²ΡΠ·ΠΏΠ°Π»Π΅Π½ΠΈΠ΅, ΡΠ΅Π·ΡΠ»ΡΠ°Ρ ΠΎΡ Π°ΠΊΡΠΈΠ²ΠΈΡΠ°Π½Π΅ Π½Π° ΠΊΠ»Π΅ΡΡΡΠ½ΠΈΡ ΠΈ Ρ ΡΠΌΠΎΡΠ°Π»Π½ΠΈΡ ΠΈΠΌΡΠ½Π΅Π½ ΠΎΡΠ³ΠΎΠ²ΠΎΡ ΠΈ ΠΏΠΎΠ·ΠΈΡΠΈΠ²ΠΈΡΠ°Π½Π΅ Π½Π° Π°Π²ΡΠΎΠ°Π½ΡΠΈΡΠ΅Π»Π° (ΠΡ) Π² ΡΠ΅ΡΡΠΌΠ° Π½Π° Π½ΡΠΊΠΎΠΈ Π±ΠΎΠ»Π½ΠΈ. ΠΠ²ΡΠΎΠΈΠΌΡΠ½Π½ΠΈΡΡ ΠΌΠΈΠΎΠ·ΠΈΡ ΡΠ΅ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠΈΡΠ° ΠΈ ΠΊΠ»Π°ΡΠΈΡΠΈΡΠΈΡΠ° Π²ΡΠ·ΠΎΡΠ½ΠΎΠ²Π° Π½Π° Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ½ΠΈΡΠ΅ ΠΈ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΈΡΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π½Π° Bohan&Peter (1975 Π³.). ΠΠ½Π΅Ρ ΡΠ΅ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°, ΡΠ΅ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΈΡΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π½Π° Bohan&Peter ΡΡΡΠ±Π²Π° Π΄Π° Π±ΡΠ΄Π°Ρ ΠΏΡΠ΅ΠΎΡΠ΅Π½Π΅Π½ΠΈ, ΡΡΠΉ ΠΊΠ°ΡΠΎ Π² Π½ΡΠΊΠΎΠΈ ΡΠ»ΡΡΠ°ΠΈ Π²ΠΎΠ΄ΡΡ Π΄ΠΎ ΠΏΠΎΠ³ΡΠ΅ΡΠ½Π° ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ Π½Π° Π°Π²ΡΠΎΠΈΠΌΡΠ½Π½ΠΈΡΠ΅ ΠΌΠΈΠΎΠ·ΠΈΡΠΈ. ΠΡΠΊΡΠΈΠ²Π°Π½Π΅ΡΠΎ Π½Π° ΠΌΠΈΠΎΠ·ΠΈΡ-ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΈΡΠ΅ Π°Π²ΡΠΎΠ°Π½ΡΠΈΡΠ΅Π»Π° (ΠΠ‘ΠΠ’) ΠΈ ΠΌΠΈΠΎΠ·ΠΈΡ-Π°ΡΠΎΡΠΈΠΈΡΠ°Π½ΠΈΡΠ΅ Π°Π²ΡΠΎΠ°Π½ΡΠΈΡΠ΅Π»Π° (ΠΠΠΠ’) Π²ΠΎΠ΄ΠΈ Π΄ΠΎ ΡΡΠ·Π΄Π°Π²Π°Π½Π΅ΡΠΎ Π½Π° ΡΠ΅ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅Π½ ΠΏΠΎΠ΄Ρ ΠΎΠ΄, Π΄ΠΎΠΏΡΠ»Π²Π°Ρ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡΡΠ° Π½Π° Bohan&Peter. Y. TroyΠ°nov ΠΈ ΡΡΡΡ. ΡΡΠ·Π΄Π°Π²Π°Ρ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ, ΠΎΡΠ½ΠΎΠ²Π°Π²Π°ΡΠ° ΡΠ΅ Π½Π° ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠ° ΠΎΡ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½Π΅ Π½Π° ΡΠ΅ΡΡΠΌΠ½ΠΈΡΠ΅ ΠΡ ΠΈ Π½Π°Π»ΠΈΡΠΈΠ΅ΡΠΎ Π½Π° ΠΏΡΠΈΠΏΠΎΠΊΡΠΈΠ²Π°ΡΠΈ (overlap) ΠΊΠ»ΠΈΠ½ΠΈΡΠ½ΠΈ ΠΏΡΠΎΡΠ²ΠΈ. Π¦Π΅Π»ΡΠ° Π½Π° ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½Π΅ΡΠΎ Π΅ Π΄Π° ΡΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈ ΡΠ΅ΡΡΠΎΡΠ°ΡΠ° Π½Π° ΡΠ°Π·Π»ΠΈΡΠ½ΠΈΡΠ΅ ΡΠ΅ΡΡΠΌΠ½ΠΈ ΠΡ ΠΏΡΠΈ Π±ΠΎΠ»Π½ΠΈ Ρ Π°Π²ΡΠΎΠΈΠΌΡΠ½Π΅Π½ ΠΌΠΈΠΎΠ·ΠΈΡ, Π΄Π° ΡΠ΅ ΡΡΡΠ°Π½ΠΎΠ²ΠΈ Π²ΡΡΠ·ΠΊΠ°ΡΠ° ΠΌΠ΅ΠΆΠ΄Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ½ΠΈ ΠΏΡΠΎΡΠ²ΠΈ ΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΠΈΡΠ΅ ΠΡ ΠΈ Π΄Π° ΡΠ΅ ΠΊΠ»Π°ΡΠΈΡΠΈΡΠΈΡΠ°Ρ Π±ΠΎΠ»Π½ΠΈΡΠ΅ Ρ Π°Π²ΡΠΎΠΈΠΌΡΠ½Π΅Π½ ΠΌΠΈΠΎΠ·ΠΈΡ Π²ΡΠ· ΠΎΡΠ½ΠΎΠ²Π° ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈΡΠ΅ Π½Π° Bohan&Peter ΠΈ Y. Troyanov. Π Π½Π°ΡΡΠΎΡΡΠΎΡΠΎ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½Π΅ Π±ΡΡ Π° Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈ 70 Π±ΠΎΠ»Π½ΠΈ (49 ΠΆΠ΅Π½ΠΈ ΠΈ 21 ΠΌΡΠΆΠ΅) Ρ Π°Π²ΡΠΎΠΈΠΌΡΠ½Π΅Π½ ΠΌΠΈΠΎΠ·ΠΈΡ, ΠΊΠ»Π°ΡΠΈΡΠΈΡΠΈΡΠ°Π½ΠΈ Π²ΡΠ· ΠΎΡΠ½ΠΎΠ²Π° Π½Π° ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΈΡΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π½Π° Bohan&Peter ΠΈ Y. Troyanov. ΠΠΌΡΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ½ΠΈΡΡ ΠΏΡΠΎΡΠΈΠ» Π½Π° Π±ΠΎΠ»Π½ΠΈΡΠ΅ Π±Π΅ΡΠ΅ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½ ΡΡΠ΅Π· ΠΈΠΌΡΠ½ΠΎΠ±Π»ΠΎΡ-Π°Π½Π°Π»ΠΈΠ· ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π° ELISA. ΠΡΡΠ·ΠΊΠ°ΡΠ° ΠΌΠ΅ΠΆΠ΄Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠ½ΠΈΡΠ΅ ΠΏΡΠΎΡΠ²ΠΈ ΠΈ ΠΡ Π΅ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠ°Π½Π° ΡΡΠ΅Π· Ρ ΠΈ-ΠΊΠ²Π°Π΄ΡΠ°Ρ ΠΌΠ΅ΡΠΎΠ΄Π° (Fisherβs Exact test), ΠΊΠ°ΡΠΎ Ρ Π½Π΅ ΡΡΡΠ±Π²Π° Π΄Π° Π½Π°Π΄Ρ Π²ΡΡΠ»Ρ 0.05 (p < 0.05). ΠΡΠΈ 70% ΠΎΡ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½ΠΈΡΠ΅ Π±ΠΎΠ»Π½ΠΈ Ρ Π°Π²ΡΠΎΠΈΠΌΡΠ½Π΅Π½ ΠΌΠΈΠΎΠ·ΠΈΡ Π±ΡΡ Π° ΡΡΡΠ°Π½ΠΎΠ²Π΅Π½ΠΈ Π΅Π΄Π½ΠΎ ΠΈΠ»ΠΈ ΠΏΠΎΠ²Π΅ΡΠ΅ Π°Π²ΡΠΎΠ°Π½ΡΠΈΡΠ΅Π»Π°. ΠΡΠΈ Π½Π°ΠΉ-Π³ΠΎΠ»ΡΠΌ ΠΏΡΠΎΡΠ΅Π½Ρ ΠΎΡ ΡΡΡ ΡΠ΅ ΠΏΠΎΠ·ΠΈΡΠΈΠ²ΠΈΡΠ° Π°Π½ΡΠΈ-Ro52 ΠΡ (41%), ΠΏΠΎΡΠ»Π΅Π΄Π²Π°Π½ΠΎ ΠΎΡ Π°Π½ΡΠΈ-Ro60 (19%), Π°Π½ΡΠΈ-dsDNA (17%), Π°Π½ΡΠΈ-Jo-1 (16%) ΠΡ. ΠΡΡΠ°Π½Π°Π»ΠΈΡΠ΅ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½ΠΈ ΠΡ ΡΠ΅ ΠΏΠΎΠ·ΠΈΡΠΈΠ²ΠΈΡΠ°Ρ Π° Ρ ΡΠ΅ΡΡΠΎΡΠ° ΠΌΠ΅ΠΆΠ΄Ρ 1 ΠΈ 9% ΠΎΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΈΡΠ΅. ΠΠ½ΡΠΈ-U1RNP ΠΡ Π½Π΅ Π±Π΅ΡΠ΅ Π½Π°ΠΌΠ΅ΡΠ΅Π½ΠΎ ΠΏΡΠΈ Π½ΠΈΡΠΎ Π΅Π΄ΠΈΠ½ Π±ΠΎΠ»Π΅Π½ Ρ Π°Π²ΡΠΎΠΈΠΌΡΠ½Π΅Π½ ΠΌΠΈΠΎΠ·ΠΈΡ. Π£ΡΡΠ°Π½ΠΎΠ²ΠΈΡ ΠΌΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠ° Π²ΡΡΠ·ΠΊΠ° ΠΌΠ΅ΠΆΠ΄Ρ Π½ΡΠΊΠΎΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ½ΠΈ ΠΏΡΠΎΡΠ²ΠΈ ΠΈ ΡΠ΅ΡΡΠΌΠ½ΠΈ ΠΡ. ΠΠΈΠ°Π³Π½ΠΎΠ·Π°ΡΠ° ΠΠ Π±Π΅ΡΠ΅ ΠΏΠΎΡΡΠ°Π²Π΅Π½Π° ΠΏΡΠΈ 30%, ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π°ΠΉΠΊΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈΡΠ΅ Π½Π° Bohan&Peter, Π΄ΠΎΠΊΠ°ΡΠΎ Π²ΡΠ· ΠΎΡΠ½ΠΎΠ²Π° Π½Π° ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎΡΠ΅ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ½Π°ΡΠ° ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ Π½Π° Troyanov ΡΠ΅ΡΡΠΎΡΠ°ΡΠ° Π½Π° ΠΠ Π½Π°ΠΌΠ°Π»ΡΠ²Π° Π΄ΠΎ 10%. ΠΠΈΠΎΠ·ΠΈΡ Π² Ρ ΠΎΠ΄Π° Π½Π° ΠΏΡΠΈΠΏΠΎΠΊΡΠΈΠ²Π°ΡΠΎ ΡΠ΅Π²ΠΌΠ°ΡΠΈΡΠ½ΠΎ Π·Π°Π±ΠΎΠ»ΡΠ²Π°Π½Π΅ Π±Π΅ΡΠ΅ ΡΡΡΠ°Π½ΠΎΠ²Π΅Π½ ΠΏΡΠΈ 24% ΡΠΏΠΎΡΠ΅Π΄ Bohan&Peter, ΠΈΠ·ΠΏΠΎΠ»Π·Π²Π°ΠΉΠΊΠΈ ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ Π½Π° Troyanov ΡΠ΅ΡΡΠΎΡΠ°ΡΠ° Π½Π°ΡΠ°ΡΡΠ²Π° Π΄ΠΎ 70%. Π£ΡΡΠ°Π½ΠΎΠ²ΠΈΡ ΠΌΠ΅, ΡΠ΅ ΠΏΡΠΈ Π³ΠΎΠ»ΡΠΌ ΠΏΡΠΎΡΠ΅Π½Ρ ΠΎΡ ΡΠ»ΡΡΠ°ΠΈΡΠ΅ Π°Π²ΡΠΎΠΈΠΌΡΠ½Π½ΠΈΡΡ ΠΌΠΈΠΎΠ·ΠΈΡ ΠΏΡΠΎΡΠΈΡΠ° Π² Ρ ΠΎΠ΄Π° Π½Π° ΠΏΡΠΈΠΏΠΎΠΊΡΠΈΠ²Π°ΡΠΎ ΡΠ΅Π²ΠΌΠ°ΡΠΈΡΠ½ΠΎ Π·Π°Π±ΠΎΠ»ΡΠ²Π°Π½Π΅. ΠΡΠΈΠΏΠΎΠΊΡΠΈΠ²Π°ΡΠΈΡΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ½ΠΈ ΠΏΡΠΎΡΠ²ΠΈ ΠΈ ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΠΈΡΠ΅ ΡΠ΅ΡΡΠΌΠ½ΠΈ ΠΡ ΡΠ° Π² ΠΎΡΠ½ΠΎΠ²Π°ΡΠ° Π½Π° ΠΊΠ»Π°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΈΡΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π½Π° Y. Troyanov, ΠΊΠ°ΡΠΎ ΡΠ΅ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°, ΡΠ΅ ΡΠ΅Π·ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ ΠΌΠΎΠ³Π°Ρ Π΄Π° ΠΈΠΌΠ°Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ½Π°, ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ½Π° ΠΈ ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΠΈΡΠ½Π° ΡΡΠΎΠΉΠ½ΠΎΡΡ. ****** Summary. Autoimmune myositis (AIM) is a syndrome characterized by chronic muscle inflammation, a result of the involvement of cellular and humoral immune responses and the presence of autoantibodies in the serum of some patients. Autoimmune myositis is diagnosed and classified by using the original Bohan and Peter diagnostic criteria and classification (1975). Presently, it is suggested that the original Bohan and Peter classification criteria should be re-evaluated, because in some cases, they may lead to misclassification of autoimmune myositis. The discovery of myositis-specific autoantibodies (MSAs) and myositis-associated autoantibodies (MAAs) has led to a serologic approach that is complementary to the Bohan and Peter classification. Y. Troyanov et al. created a novel classification based on the presence of overlaping clinical features and the test results of different serum autoantibodies (Abs). The aim of the study was to determine the prevalence of serum Abs in patients with autoimmune myositis, to analyse the clinical-serologic correlations between clinical features and different Abs and to classify autoimmune myositis by using the Bohan and Peter classification (1975) and this of Y. Troyanov (2005). Sera were collected from 70 patients with AIM which were classified using the Bohan and Peter classification and the Troyanov clinicoserologic classification. Sera were tested by the Immunoblot test and the enzyme linked immunosorbent assay (ELISA). Associations between clinical manifestations and autoantibodies were analysed by the Chi-square analysis (Fisherβs Exact test), as p < 0.05. One or more autoantibodies were detected in 70% of the patients with autoimmune myositis in this study. The most common Abs were: anti-Ro52 (41%), followed by anti-Ro60 (19%), anti-dsDNA (17%), anti-Jo- 1 (16%) Abs. Other Abs were presented in 9% to 1% of the patients. The anti-U1RNP Abs was not detected in any of the patients with autoimmune myositis. We found statistically significant correlations between some clinical features and the detected serum autoantibodies. Polymyositis (PM) was diagnosed in 30% of the patients by using the Bohan and Peter classification; its frequency fell to 10% according to Troyanov classification. Myositis associated with other connective tissue diseases (overlap myositis, OM) was 24%, according to the Bohan and Peter classification, while its frequency was 70%, when using the Troyanov classification. We found that in a great number of the cases in this study, the autoimmune myositis develops within the course of an overlapping rheumatic disease. Overlapping clinical features and positive serum autoantibodies compose the basis of the Troyanov classification criteria, which, therefore, are supposed to be of diagnostic, therapeutic and prognostic value.