17 research outputs found
ΠΠΎΠ»ΡΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΠΈΠ½ΡΠ΅ΡΡΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΡ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΉ Π»Π΅Π³ΠΊΠΈΡ ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ ΠΏΡΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠΉ ΡΠΊΠ»Π΅ΡΠΎΠ΄Π΅ΡΠΌΠΈΠΈ
The aim of this study was to compare three semi-quantification scales for prospective assessment of scleroderma-associated interstitial lung disease (SS-ILD) severity. Methods. From 110 prospectively followed patients with SS-ILD, we selected 12 patients (mean age, 42 Β± 13 years, 11 females) with obvious improvement (n = 6) or worsening (n = 6) of lung lesions on high resolution computed tomography (HRCT) during a year. The patients had diffuse (n = 7) or limited (n = 7) SS with mean length of the disease of 8.5 Β± 6.7 years (range, 1 to 23 years). HRCT was done at baseline (inclusion in the study) and in a year. CT scans were quantitatively assessed by four radiologists including one experienced radiologist. A blinded analysis of HRCT scans was done using three scales: J.H.Warrick et al. (1991), A.U.Wells et al. (1997), and E.A.Kazerooni et al. (1997). The intraclass correlation coefficient (ICC) was calculated to evaluate the assessment reliability. T-test for independent samples was used to evaluate reproducibility of the assessments. Agreement between independent experts' opinions was evaluated using Kendall's rank correlation coefficient. Results. The measurements were significantly divergent between the radiologists, both for the baseline and the follow-up HRCT scans. ICCs for investigated radiological parameters were 0.56 to 0.76. The highest ICC (0.76) was obtained for A.U.Wells' scale. All scales used to assess HRCT scans had lower interoperator reproducibility. Conclusion. Combined use of currently available semi-quantification methods for follow-up assessment of HRCT in SS-ILD patients allowed thorough qualitative evaluation of lung lesions, but the reliability of the radiological parameters in detecting 1-year fibrosis progression in SS patients was low. The risk of significant interoperator bias limited the use of the radiological parameters in clinical trials of SS-ILD patients.Π‘ΠΈΡΡΠ΅ΠΌΠ½Π°Ρ ΡΠΊΠ»Π΅ΡΠΎΠ΄Π΅ΡΠΌΠΈΡ (Π‘Π‘Π), ΠΈΠ»ΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΡΡΡΠΈΠΉ ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΉ ΡΠΊΠ»Π΅ΡΠΎΠ· (Π34.0), β Π°ΡΡΠΎΠΈΠΌΠΌΡΠ½Π½ΠΎΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ Ρ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΎΡΡΠ΄ΠΎΠ² ΠΈ ΡΠΎΠ΅Π΄ΠΈΠ½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ, ΠΊΠΎΡΠΎΡΠΎΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΡΡΡΠΈΠΌ ΡΠΈΠ±ΡΠΎΠ·ΠΎΠΌ ΠΊΠΎΠΆΠΈ ΠΈ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
ΠΎΡΠ³Π°Π½ΠΎΠ². Π’ΠΈΠΏΠΈΡΠ½ΡΠΌ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ Π‘Π‘Π, ΡΠ°ΡΡΠΎΡΠ° Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ 60β90 %, ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΡ Π»Π΅Π³ΠΊΠΈΡ
. ΠΠ½ΡΠ΅ΡΡΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ Π»Π΅Π³ΠΊΠΈΡ
(ΠΠΠ) Π½Π°ΡΡΠ΄Ρ Ρ Π°ΡΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π³ΠΈΠΏΠ΅ΡΡΠ΅Π½Π·ΠΈΠ΅ΠΉ ΡΠ²Π»ΡΡΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π²Π΅Π΄ΡΡΠΈΡ
ΠΏΡΠΈΡΠΈΠ½ ΡΠΌΠ΅ΡΡΠΈ ΠΏΡΠΈ Π‘Π‘Π, ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΎΠ±ΡΠ΅ΠΌ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΡ Π»Π΅Π³ΠΊΠΈΡ
ΠΈΠΌΠ΅Π΅Ρ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅, Π² ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΎΡΠ΅Π²ΠΈΠ΄Π½Π° Π²Π°ΠΆΠ½ΠΎΡΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈ ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΠΈ ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΡΠΈΠ±ΡΠΎΠ·Π½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π»Π΅Π³ΠΊΠΈΡ
. ΠΡΠΈ ΡΡΠΎΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΠΎΠΏΡΡΠ½ΡΠΌ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΎΠΌ Π΄Π°Π½Π½ΡΡ
ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΡ (ΠΠ’ΠΠ ) Π² Π±Π°Π»Π»Π°Ρ
. ΠΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π² Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΠΎΠ±ΡΠ΅ΠΌ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ Π² ΠΎΠ΄Π½ΠΎΠΉ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠΎΡΠΊΠ΅ Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΏΠΎΠ»ΡΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΠΠ ΠΏΡΠΈ Π‘Π‘Π ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΠΠ’ΠΠ , ΠΎΠ΄Π½Π°ΠΊΠΎ ΠΈΡ
ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π»Ρ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΠΠ Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΈΠ·ΡΡΠ΅Π½ΠΎ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ. Π¦Π΅Π»Ρ. Π‘ΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ 3 ΠΏΠΎΠ»ΡΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΊΠ°Π» ΠΎΡΠ΅Π½ΠΊΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΠΠΠ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
Π‘Π‘Π Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅. ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ· ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΎΡΠ»Π΅ΠΆΠ΅Π½Π½ΡΡ
Π±ΠΎΠ»ΡΠ½ΡΡ
Π‘Π‘Π Ρ ΠΠΠ (n = 110) ΠΎΡΠΎΠ±ΡΠ°Π½Ρ Π»ΠΈΡΠ° (n = 12: ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ β 42 Π³ΠΎΠ΄Π° Β± 13 Π»Π΅Ρ; 11 ΠΆΠ΅Π½ΡΠΈΠ½) Ρ ΠΎΡΠ΅Π²ΠΈΠ΄Π½ΡΠΌΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡΠΌΠΈ Π² Π»Π΅Π³ΠΊΠΈΡ
ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΠΠ’ΠΠ β Ρ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ (n = 6) ΠΈ Ρ ΡΡ
ΡΠ΄ΡΠ΅Π½ΠΈΠ΅ΠΌ (n = 6). ΠΡΠΌΠ΅ΡΠ΅Π½Ρ Π΄ΠΈΡΡΡΠ·Π½Π°Ρ (n = 7) ΠΈ Π»ΠΈΠΌΠΈΡΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ (n = 7) ΡΠΎΡΠΌΡ Π±ΠΎΠ»Π΅Π·Π½ΠΈ. ΠΠ°Π²Π½ΠΎΡΡΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 8,5 Β± 6,7 Π³ΠΎΠ΄Π° (ΠΎΡ 1 Π³ΠΎΠ΄Π° Π΄ΠΎ 23 Π»Π΅Ρ). ΠΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½Π° 4 ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³Π°ΠΌΠΈ, ΠΎΠ΄ΠΈΠ½ ΠΈΠ· ΠΊΠΎΡΠΎΡΡΡ
ΡΠ²Π»ΡΠ»ΡΡ ΡΠΊΡΠΏΠ΅ΡΡΠΎΠΌ Ρ Π±ΠΎΠ»ΡΡΠΈΠΌ ΠΎΠΏΡΡΠΎΠΌ ΡΠ°Π±ΠΎΡΡ. ΠΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ ΠΎΠ±Π΅Π·Π»ΠΈΡΠ΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ
ΠΠ’ΠΠ 3 ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΌΠΈ J.H.Warrick et al. (1991), A.U.Wells et al. (1997) ΠΈ E.A.Kazerooni et al. (1997). ΠΡΠΈΠ²Π΅Π΄Π΅Π½ΠΎ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊ Ρ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠ΅ΠΌ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈΡΡ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
(n = 12) ΠΏΡΠΈ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ Π² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΡΠ΅ΡΠ΅Π· 1 Π³ΠΎΠ΄. ΠΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΡΠ΅Π½ΠΎΠΊ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ Π²Π½ΡΡΡΠΈΠΊΠ»Π°ΡΡΠΎΠ²ΠΎΠΉ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ ICC (intraclass correlation coefficient). ΠΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ t-ΡΠ΅ΡΡ Π΄Π»Ρ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΡΡ
Π³ΡΡΠΏΠΏ; Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΡ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΡΡ
ΡΠΊΡΠΏΠ΅ΡΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ ΡΠ°Π½Π³ΠΎΠ²ΡΠΉ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ ΠΠ΅Π½Π΄Π°Π»Π»Π°. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ½Π°ΡΠ΅Π½ΠΈΡ ΡΡΠΌΠΌΠ°ΡΠ½ΡΡ
ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΠΏΠΎ 3 ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΡΠ°Π·Π»ΠΈΡΠ°Π»ΠΈΡΡ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³Π°ΠΌΠΈ ΠΊΠ°ΠΊ ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΠΉ ΠΠΠ, ΡΠ°ΠΊ ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΠ΅ΡΠ΅Π· 1 Π³ΠΎΠ΄. ΠΠ½Π°ΡΠ΅Π½ΠΈΡ ICC Π΄Π»Ρ ΠΈΠ·ΡΡΠ°Π΅ΠΌΡΡ
ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ 0,56β0,76. ΠΠ°ΠΈΠ»ΡΡΡΠΈΠΌ ΡΠ²ΠΈΠ»ΡΡ ICC ΠΈΠ½Π΄Π΅ΠΊΡΠ° A.U.Wells et al. (0,76). ΠΡΠ΅ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠΏΠΎΡΠΎΠ±Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΊΠ°Π½ΠΎΠ³ΡΠ°ΠΌΠΌ, ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Π½ΡΠ΅ Π΄Π»Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΠ’ΠΠ , ΠΈΠΌΠ΅Π»ΠΈ Π½ΠΈΠ·ΠΊΡΡ ΠΌΠ΅ΠΆΠΎΠΏΠ΅ΡΠ°ΡΠΎΡΡΠΊΡΡ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΌΠ΅ΡΡΠΈΠ΅ΡΡ Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΠΎΠ΄ΡΡΠ΅ΡΠ° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΠΠ ΠΏΡΠΈ Π‘Π‘Π ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΠΠ’ΠΠ , ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠ΅ ΠΎΠ΄Π½ΠΎΠΌΠΎΠΌΠ΅Π½ΡΠ½ΠΎ, Π΄Π°ΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎ ΠΎΡΠ΅Π½ΠΈΡΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π² Π»Π΅Π³ΠΊΠΈΡ
, Π½ΠΎ ΠΈ ΠΎΠ±ΡΠ΅ΠΌ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ. Π ΡΠΎ ΠΆΠ΅ Π²ΡΠ΅ΠΌΡ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΡ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΡ
ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ½Π΅Π²ΠΌΠΎΡΠΈΠ±ΡΠΎΠ·Π° Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
Π‘Π‘Π Π½Π° ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ 1 Π³ΠΎΠ΄Π° ΠΎΠΊΠ°Π·Π°Π»Π°ΡΡ Π½ΠΈΠ·ΠΊΠΎΠΉ. ΠΠ·ΡΡΠ΅Π½Π½ΡΠ΅ ΠΈΠ½Π΄Π΅ΠΊΡΡ ΠΈΠΌΠ΅ΡΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ Π² ΡΠ²ΡΠ·ΠΈ Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΌΠ΅ΠΆΠΎΠΏΠ΅ΡΠ°ΡΠΎΡΡΠΊΠΎΠΉ ΠΎΡΠΈΠ±ΠΊΠΈ ΠΈ ΠΏΠΎΡΡΠΎΠΌΡ ΠΌΠ°Π»ΠΎΠΏΡΠΈΠΌΠ΅Π½ΠΈΠΌΡ Π΄Π»Ρ ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π½ΡΡΠΎΠ²ΡΡ
ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
Π‘Π‘Π
Biogeographic patterns of planktonic and meiobenthic fauna diversity in inland waters of the Russian Arctic
Β© 2020 John Wiley & Sons Ltd. Broad-scale assessment of biodiversity is needed for detection of future changes across substantial regions of the Arctic. Presently, there are large data and information gaps in species composition and richness of the freshwater planktonic and meiobenthos communities of the Russian Arctic. Analysis of these data is very important for identifying the spatial distribution and temporal changes in species richness and diversity of rotifers, cladocerans, and copepods in the continental Russian Arctic. We investigated biogeographic patterns of freshwater plankton and meiobenthos from c. 67Β° to 73Β°N by analysing data over the period 1960β2017. These data include information on the composition of rotifers, cladocerans, and copepods obtained from planktonic and meiobenthic samples, as well as from subfossil remains in bottom sediments of seven regions from the Kola Peninsula in the west, to the Indigirka River Basin (east Siberia) in the east. Total richness included 175 species comprised of 49 rotifer genera, 81 species from 40 cladoceran genera, and 101 species from 42 genera of calanoid, cyclopoid, and harpacticoid copepods. Longitudinal trends in rotifer and micro-crustacean diversity were revealed by change in species composition from Europe to eastern Siberia. The most common and widespread species were 19 ubiquitous taxa that included Kellicottia longispina (Rotifera), Chydorus sphaericus s. lat. (Cladocera), Heterocope borealis, Acanthocyclops vernalis, and Moraria duthiei (Copepoda). The highest number of rare species was recorded in the well-studied region of the Bolshezemelskaya tundra and in the Putorana Plateau. The total number of copepod and rotifer species in both Arctic lakes and ponds tended to increase with latitude. Relative species richness of copepods was positively associated with waterbody area, elevation, and precipitation, while relative species richness of cladocerans was positively related to temperature. This result is consistent with known thermophilic characteristics of cladocerans and the cold tolerance properties of copepods, with the former being dominant in shallow, warmer waterbodies of some western regions, and the latter being dominant in large cold lakes and waterbodies of eastern regions. Rotifers showed a negative association with these factors. Alpha- and Ξ²-diversity of zooplankton in the Russian Arctic were strongly related to waterbody type. Lake zooplankton communities were more diverse than those in pond and pool systems. Moreover, the highest Ξ²-diversity values were observed in regions that showed a greater breadth in latitude and highly heterogeneous environmental conditions and waterbody types (Bolshezemelskaya tundra and Putorana Plateau). Redistribution of freshwater micro-fauna caused by human activities occurred in the 1990s and 2000s. As a result of climate warming, a few cladoceran species appear to have extended their range northward. Nevertheless, the rotifer and micro-crustacean fauna composition and diversity of the majority of Arctic regions generally remain temporally conservative, and spatial differences in composition and species richness are chiefly associated with the differences between the warmer European and colder east Siberian climates