17 research outputs found

    ΠŸΠΎΠ»ΡƒΠΊΠΎΠ»ΠΈΡ‡Π΅ΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ Π²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ ΠΎΡ†Π΅Π½ΠΊΠΈ выраТСнности ΠΈΠ½Ρ‚Π΅Ρ€ΡΡ‚ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠΉ Π»Π΅Π³ΠΊΠΈΡ… ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ ΠΏΡ€ΠΈ систСмной склСродСрмии

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    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.БистСмная склСродСрмия (Π‘Π‘Π”), ΠΈΠ»ΠΈ ΠΏΡ€ΠΎΠ³Ρ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΉ систСмный склСроз (М34.0), – Π°ΡƒΡ‚ΠΎΠΈΠΌΠΌΡƒΠ½Π½ΠΎΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ с ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ сосудов ΠΈ ΡΠΎΠ΅Π΄ΠΈΠ½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ характСризуСтся ΠΏΡ€ΠΎΠ³Ρ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΌ Ρ„ΠΈΠ±Ρ€ΠΎΠ·ΠΎΠΌ ΠΊΠΎΠΆΠΈ ΠΈ Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½ΠΈΡ… ΠΎΡ€Π³Π°Π½ΠΎΠ². Π’ΠΈΠΏΠΈΡ‡Π½Ρ‹ΠΌ проявлСниСм Π‘Π‘Π”, частота выявлСния ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ составляСт 60–90 %, являСтся ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠ΅ ΠΏΠ°Ρ€Π΅Π½Ρ…ΠΈΠΌΡ‹ Π»Π΅Π³ΠΊΠΈΡ…. Π˜Π½Ρ‚Π΅Ρ€ΡΡ‚ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ пораТСния Π»Π΅Π³ΠΊΠΈΡ… (Π˜ΠŸΠ›) наряду с Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ Π³ΠΈΠΏΠ΅Ρ€Ρ‚Π΅Π½Π·ΠΈΠ΅ΠΉ ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π²Π΅Π΄ΡƒΡ‰ΠΈΡ… ΠΏΡ€ΠΈΡ‡ΠΈΠ½ смСрти ΠΏΡ€ΠΈ Π‘Π‘Π”, ΠΏΡ€ΠΈ этом объСм пораТСния ΠΏΠ°Ρ€Π΅Π½Ρ…ΠΈΠΌΡ‹ Π»Π΅Π³ΠΊΠΈΡ… ΠΈΠΌΠ΅Π΅Ρ‚ прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅, Π² связи с этим ΠΎΡ‡Π΅Π²ΠΈΠ΄Π½Π° Π²Π°ΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈ Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ опрСдСлСния распространСнности ΠΈ выраТСнности Ρ„ΠΈΠ±Ρ€ΠΎΠ·Π½Ρ‹Ρ… ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π»Π΅Π³ΠΊΠΈΡ…. ΠŸΡ€ΠΈ этом ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ Π²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½Π°Ρ ΠΎΡ†Π΅Π½ΠΊΠ° ΠΎΠΏΡ‹Ρ‚Π½Ρ‹ΠΌ Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ»ΠΎΠ³ΠΎΠΌ Π΄Π°Π½Π½Ρ‹Ρ… ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ высокого Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ (ΠšΠ’Π’Π ) Π² Π±Π°Π»Π»Π°Ρ…. ΠšΠ°Ρ‡Π΅ΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ измСнСния Π² Π»Π΅Π³ΠΊΠΈΡ… ΠΈ объСм пораТСния Π² ΠΎΠ΄Π½ΠΎΠΉ Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ Ρ‚ΠΎΡ‡ΠΊΠ΅ Π΄Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‚ΡΡ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² полуколичСствСнной ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π˜ΠŸΠ› ΠΏΡ€ΠΈ Π‘Π‘Π” ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ ΠšΠ’Π’Π , ΠΎΠ΄Π½Π°ΠΊΠΎ ΠΈΡ… использованиС для сравнСния ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π˜ΠŸΠ› Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΎ нСдостаточно. ЦСль. Π‘Ρ€Π°Π²Π½Π΅Π½ΠΈΠ΅ 3 полуколичСствСнных шкал ΠΎΡ†Π΅Π½ΠΊΠΈ выраТСнности Π˜ΠŸΠ› Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π‘Π‘Π” Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Из проспСктивно прослСТСнных Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π‘Π‘Π” с Π˜ΠŸΠ› (n = 110) ΠΎΡ‚ΠΎΠ±Ρ€Π°Π½Ρ‹ Π»ΠΈΡ†Π° (n = 12: срСдний возраст – 42 Π³ΠΎΠ΄Π° Β± 13 Π»Π΅Ρ‚; 11 ΠΆΠ΅Π½Ρ‰ΠΈΠ½) с ΠΎΡ‡Π΅Π²ΠΈΠ΄Π½Ρ‹ΠΌΠΈ динамичСскими измСнСниями Π² Π»Π΅Π³ΠΊΠΈΡ… ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ ΠšΠ’Π’Π  – с ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΠ΅ΠΌ (n = 6) ΠΈ с ΡƒΡ…ΡƒΠ΄ΡˆΠ΅Π½ΠΈΠ΅ΠΌ (n = 6). ΠžΡ‚ΠΌΠ΅Ρ‡Π΅Π½Ρ‹ диффузная (n = 7) ΠΈ лимитированная (n = 7) Ρ„ΠΎΡ€ΠΌΡ‹ Π±ΠΎΠ»Π΅Π·Π½ΠΈ. Π”Π°Π²Π½ΠΎΡΡ‚ΡŒ заболСвания составила 8,5 Β± 6,7 Π³ΠΎΠ΄Π° (ΠΎΡ‚ 1 Π³ΠΎΠ΄Π° Π΄ΠΎ 23 Π»Π΅Ρ‚). ΠšΠΎΠ»ΠΈΡ‡Π΅ΡΡ‚Π²Π΅Π½Π½Π°Ρ ΠΎΡ†Π΅Π½ΠΊΠ° ΠΈΠ·ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ осущСствлСна 4 Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ»ΠΎΠ³Π°ΠΌΠΈ, ΠΎΠ΄ΠΈΠ½ ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… являлся экспСртом с большим ΠΎΠΏΡ‹Ρ‚ΠΎΠΌ Ρ€Π°Π±ΠΎΡ‚Ρ‹. ΠŸΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ ΠΎΠ±Π΅Π·Π»ΠΈΡ‡Π΅Π½Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½Ρ‹Ρ… ΠšΠ’Π’Π  3 ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ, ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹ΠΌΠΈ J.H.Warrick et al. (1991), A.U.Wells et al. (1997) ΠΈ E.A.Kazerooni et al. (1997). ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½ΠΎ описаниС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ с вычислСниСм рСнтгСнологичСских индСксов, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΠ»ΠΈΡΡŒ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… (n = 12) ΠΏΡ€ΠΈ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠΈ Π² исслСдованиС ΠΈ Ρ‡Π΅Ρ€Π΅Π· 1 Π³ΠΎΠ΄. Для ΠΎΡ†Π΅Π½ΠΊΠΈ надСТности количСствСнных ΠΎΡ†Π΅Π½ΠΎΠΊ использовался коэффициСнт внутриклассовой коррСляции ICC (intraclass correlation coefficient). Для ΠΎΡ†Π΅Π½ΠΊΠΈ воспроизводимости ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² использовался t-тСст для нСзависимых Π³Ρ€ΡƒΠΏΠΏ; для ΠΎΡ†Π΅Π½ΠΊΠΈ взаимосвязи Π·Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ нСзависимых экспСртов использовался Ρ€Π°Π½Π³ΠΎΠ²Ρ‹ΠΉ коэффициСнт коррСляции КСндалла. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ЗначСния суммарных индСксов ΠΏΠΎ 3 ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌ сущСствСнно Ρ€Π°Π·Π»ΠΈΡ‡Π°Π»ΠΈΡΡŒ ΠΌΠ΅ΠΆΠ΄Ρƒ Ρ€Π΅Π½Ρ‚Π³Π΅Π½ΠΎΠ»ΠΎΠ³Π°ΠΌΠΈ ΠΊΠ°ΠΊ ΠΏΡ€ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ΅ исходных проявлСний Π˜ΠŸΠ›, Ρ‚Π°ΠΊ ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Ρ‡Π΅Ρ€Π΅Π· 1 Π³ΠΎΠ΄. ЗначСния ICC для ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΡ‹Ρ… рСнтгСнологичСских индСксов составили 0,56–0,76. ΠΠ°ΠΈΠ»ΡƒΡ‡ΡˆΠΈΠΌ явился ICC индСкса A.U.Wells et al. (0,76). ВсС ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ способы ΠΎΡ†Π΅Π½ΠΊΠΈ сканограмм, ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½Π½Ρ‹Π΅ для выявлСния динамичСских ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠšΠ’Π’Π , ΠΈΠΌΠ΅Π»ΠΈ Π½ΠΈΠ·ΠΊΡƒΡŽ ΠΌΠ΅ΠΆΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΎΡ€ΡΠΊΡƒΡŽ Π²ΠΎΡΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π˜ΠΌΠ΅ΡŽΡ‰ΠΈΠ΅ΡΡ Π² настоящСС врСмя ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ подсчСта ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π˜ΠŸΠ› ΠΏΡ€ΠΈ Π‘Π‘Π” ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ ΠšΠ’Π’Π , ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΡ‹Π΅ ΠΎΠ΄Π½ΠΎΠΌΠΎΠΌΠ΅Π½Ρ‚Π½ΠΎ, Π΄Π°ΡŽΡ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ Π΄Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎ ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ качСствСнныС измСнСния Π² Π»Π΅Π³ΠΊΠΈΡ…, Π½ΠΎ ΠΈ объСм пораТСния. Π’ Ρ‚ΠΎ ΠΆΠ΅ врСмя Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡ‚ΡŒ ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… индСксов Π² ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ прогрСссирования ΠΏΠ½Π΅Π²ΠΌΠΎΡ„ΠΈΠ±Ρ€ΠΎΠ·Π° Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π‘Π‘Π” Π½Π° протяТСнии 1 Π³ΠΎΠ΄Π° оказалась Π½ΠΈΠ·ΠΊΠΎΠΉ. Π˜Π·ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ индСксы ΠΈΠΌΠ΅ΡŽΡ‚ сущСствСнныС ограничСния Π² связи с Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒΡŽ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ мСТопСраторской ошибки ΠΈ поэтому ΠΌΠ°Π»ΠΎΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΠΌΡ‹ для ΠΌΠ½ΠΎΠ³ΠΎΡ†Π΅Π½Ρ‚Ρ€ΠΎΠ²Ρ‹Ρ… клиничСских исслСдований Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π‘Π‘Π”

    Biogeographic patterns of planktonic and meiobenthic fauna diversity in inland waters of the Russian Arctic

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    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 1960–2017. 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

    Syntheses of ?-functionally substituted 2-imidazolinones

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