100 research outputs found

    Communications Biophysics

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    Contains research objectives, summary of research and reports on four research projects.National Institutes of Health (Grant 5 P01 GM14940-05)National Institutes of Health (Grant 5 TOl GM01555-05)National Aeronautics and Space Administration (Grant NGL 22-009-304)B-D ElectrodyneBoston City Hospital Purchase Order 1065

    Performance of prenatal cfDNA screening for sex chromosomes.

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    PURPOSE: The aim of this study was to assess the performance of cell-free DNA (cfDNA) screening to detect sex chromosome aneuploidies (SCAs) in an unselected obstetrical population with genetic confirmation. METHODS: This was a planned secondary analysis of the multicenter, prospective SNP-based Microdeletion and Aneuploidy RegisTry (SMART) study. Patients receiving cfDNA results for autosomal aneuploidies and who had confirmatory genetic results for the relevant sex chromosomal aneuploidies were included. Screening performance for SCAs, including monosomy X (MX) and the sex chromosome trisomies (SCT: 47,XXX; 47,XXY; 47,XYY) was determined. Fetal sex concordance between cfDNA and genetic screening was also evaluated in euploid pregnancies. RESULTS: A total of 17,538 cases met inclusion criteria. Performance of cfDNA for MX, SCTs, and fetal sex was determined in 17,297, 10,333, and 14,486 pregnancies, respectively. Sensitivity, specificity, and positive predictive value (PPV) of cfDNA were 83.3%, 99.9%, and 22.7% for MX and 70.4%, 99.9%, and 82.6%, respectively, for the combined SCTs. The accuracy of fetal sex prediction by cfDNA was 100%. CONCLUSION: Screening performance of cfDNA for SCAs is comparable to that reported in other studies. The PPV for the SCTs was similar to the autosomal trisomies, whereas the PPV for MX was substantially lower. No discordance in fetal sex was observed between cfDNA and postnatal genetic screening in euploid pregnancies. These data will assist interpretation and counseling for cfDNA results for sex chromosomes

    Cell-free DNA screening for prenatal detection of 22q11.2 deletion syndrome.

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    BACKGROUND: Historically, prenatal screening has focused primarily on the detection of fetal aneuploidies. Cell-free DNA now enables noninvasive screening for subchromosomal copy number variants, including 22q11.2 deletion syndrome (or DiGeorge syndrome), which is the most common microdeletion and a leading cause of congenital heart defects and neurodevelopmental delay. Although smaller studies have demonstrated the feasibility of screening for 22q11.2 deletion syndrome, large cohort studies with confirmatory postnatal testing to assess test performance have not been reported. OBJECTIVE: This study aimed to assess the performance of single-nucleotide polymorphism-based, prenatal cell-free DNA screening for detection of 22q11.2 deletion syndrome. STUDY DESIGN: Patients who underwent single-nucleotide polymorphism-based prenatal cell-free DNA screening for 22q11.2 deletion syndrome were prospectively enrolled at 21 centers in 6 countries. Prenatal or newborn DNA samples were requested in all cases for genetic confirmation using chromosomal microarrays. The primary outcome was sensitivity, specificity, positive predictive value, and negative predictive value of cell-free DNA screening for the detection of all deletions, including the classical deletion and nested deletions that are β‰₯500 kb, in the 22q11.2 low-copy repeat A-D region. Secondary outcomes included the prevalence of 22q11.2 deletion syndrome and performance of an updated cell-free DNA algorithm that was evaluated with blinding to the pregnancy outcome. RESULTS: Of the 20,887 women enrolled, a genetic outcome was available for 18,289 (87.6%). A total of 12 22q11.2 deletion syndrome cases were confirmed in the cohort, including 5 (41.7%) nested deletions, yielding a prevalence of 1 in 1524. In the total cohort, cell-free DNA screening identified 17,976 (98.3%) cases as low risk for 22q11.2 deletion syndrome and 38 (0.2%) cases as high risk; 275 (1.5%) cases were nonreportable. Overall, 9 of 12 cases of 22q11.2 were detected, yielding a sensitivity of 75.0% (95% confidence interval, 42.8-94.5); specificity of 99.84% (95% confidence interval, 99.77-99.89); positive predictive value of 23.7% (95% confidence interval, 11.44-40.24), and negative predictive value of 99.98% (95% confidence interval, 99.95-100). None of the cases with a nonreportable result was diagnosed with 22q11.2 deletion syndrome. The updated algorithm detected 10 of 12 cases (83.3%; 95% confidence interval, 51.6-97.9) with a lower false positive rate (0.05% vs 0.16%; P<.001) and a positive predictive value of 52.6% (10/19; 95% confidence interval, 28.9-75.6). CONCLUSION: Noninvasive cell-free DNA prenatal screening for 22q11.2 deletion syndrome can detect most affected cases, including smaller nested deletions, with a low false positive rate

    Cell-free DNA screening for trisomies 21, 18 and 13 in pregnancies at low and high risk for aneuploidy with genetic confirmation.

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    BACKGROUND: Cell-free DNA (cfDNA) non-invasive prenatal screening for trisomy (T) 21, 18, and 13 has been rapidly adopted into clinical practice. However, prior studies are limited by lack of follow up genetic testing to confirm outcomes and accurately assess test performance, particularly in women at low-risk for aneuploidy. OBJECTIVE: To compare the performance of cfDNA screening for T21, T18 and T13 between women at low and high-risk for aneuploidy in a large, prospective cohort with genetic confirmation of results. STUDY DESIGN: A multicenter prospective observational study at 21 centers in 6 countries. Women who had SNP-based cfDNA screening for T21, T18 and T13 were enrolled. Genetic confirmation was obtained from prenatal or newborn DNA samples. Test performance and test failure (no-call) rates were assessed for the cohort and women with low and high prior risk for aneuploidy were compared. An updated cfDNA algorithm, blinded to pregnancy outcome, was also assessed. RESULTS: 20,194 were enrolled at median gestational age of 12.6 weeks (IQR:11.6, 13.9). Genetic outcomes were confirmed in 17,851 (88.4%): 13,043 (73.1%) low-risk and 4,808 (26.9%) high-risk for aneuploidy. Overall, 133 trisomies were diagnosed (100 T21; 18 T18; 15 T13). cfDNA screen positive rate was lower in low- vs. high-risk (0.27% vs. 2.2%, p<0.0001). Sensitivity and specificity were similar between groups. The positive predictive value (PPV) for the low and high-risk groups was 85.7% vs. 97.5%, p=0.058 for T21; 50.0% vs. 81.3%, p=0.283 for T18; and 62.5% vs. 83.3, p=0.58 for T13, respectively. Overall, 602 (3.4%) patients had no-call result after the first draw and 287 (1.61%) after including cases with a second draw. Trisomy rate was higher in the 287 with no-call results than patients with a result on a first draw (2.8% vs. 0.7%, p=0.001). The updated algorithm showed similar sensitivity and specificity to the study algorhitm with a lower no-call rate. CONCLUSIONS: In women at low-risk for aneuploidy, SNP-based cfDNA has high sensitivity and specificity, PPV of 85.7% for T21 and 74.3% for the three common trisomies. Patients who receive a no-call result are at increased risk of aneuploidy and require additional investigation

    Direct and Inverse Computation of Jacobi Matrices of Infinite Homogeneous Affine I.F.S

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    We introduce a new set of algorithms to compute Jacobi matrices associated with measures generated by infinite systems of iterated functions. We demonstrate their relevance in the study of theoretical problems, such as the continuity of these measures and the logarithmic capacity of their support. Since our approach is based on a reversible transformation between pairs of Jacobi matrices, we also discuss its application to an inverse / approximation problem. Numerical experiments show that the proposed algorithms are stable and can reliably compute Jacobi matrices of large order.Comment: 20 pages 6 figure

    НазначСниС / ΠΎΡ‚ΠΌΠ΅Π½Π° ингаляционных Π³Π»ΡŽΠΊΠΎΠΊΠΎΡ€Ρ‚ΠΈΠΊΠΎΡΡ‚Π΅Ρ€ΠΎΠΈΠ΄ΠΎΠ² Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… хроничСской обструктивной болСзнью Π»Π΅Π³ΠΊΠΈΡ… ΠΊΠ°ΠΊ тСрапСвтичСский ΠΊΠΎΠ½Ρ‚ΠΈΠ½ΡƒΡƒΠΌ Π² Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΉ клиничСской ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅

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    Chronic obstructive pulmonary disease (COPD) is a progressing disease. Each exacerbation impairs the patient’s prognosis and increases burden for the healthcare system. The most common maintenance treatment options for COPD include long-acting bronchodilators – Ξ²2-agonists (LABA) and long-acting antimuscarinic agents (LAMA), and inhaled glucocorticosteroids (ICS), in fixed/opened double and triple combinations. Triple therapy in subjects with exacerbation history is the most effective way to prevent negative outcomes of the disease. It can reduce the frequency of exacerbations, slow down the disease progression, improve quality of life, and reduce mortality in the long run. On the other hand, the response to triple therapy may change over the time depending on airways inflammation level, infection activity, and exacerbation frequency. Current COPD guidelines propose different indications for therapy escalation and de-escalation (ICS addition/withdrawal) for more personalized and safe treatment. At the same time, many practical issues of this process are still unclear, e.g. how often treatment regimens should be reviewed and what escalation/de-escalation criteria should be prioritized. The authors strongly believe that COPD therapy should adapt a holistic treatment approach (continuum) with quick responses to any changes in the patient’s condition.The aim of our work was to create an algorithm for ICS administration/ withdrawal for COPD patients on long-acting dual bronchodilators maintenance therapy and to establish a therapeutic continuum that takes into account exacerbation history, symptoms severity, blood eosinophilia level, and concomitant asthma.Conclusion. This instrument can be a useful and convenient tool for long-term patient management when access to specialized medical care might be restricted. It takes into account the main current recommendations for COPD management and is easy to apply in real clinical practice.Π₯роничСская обструктивная болСзнь Π»Π΅Π³ΠΊΠΈΡ… (Π₯ΠžΠ‘Π›) являСтся ΠΏΡ€ΠΎΠ³Ρ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΌ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ΠΌ. ΠŸΡ€ΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠΌ обострСнии ΡƒΡ…ΡƒΠ΄ΡˆΠ°Π΅Ρ‚ΡΡ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·, сниТаСтся качСство ΠΆΠΈΠ·Π½ΠΈ (ΠšΠ–) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°, увСличиваСтся Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ° Π½Π° систСму здравоохранСния. НаиболСС часто для ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°ΡŽΡ‰Π΅ΠΉ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π₯ΠžΠ‘Π› ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡŽΡ‚ΡΡ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Π΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ (Π”Π”) бронхолитичСскиС ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Ρ‹ – Ξ²2-агонисты Π°Π΄Ρ€Π΅Π½ΠΎΡ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ² (ДДБА) ΠΈ Π”Π” антихолинСргичСскиС ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Ρ‹, Π° Ρ‚Π°ΠΊΠΆΠ΅ ингаляционныС Π³Π»ΡŽΠΊΠΎΠΊΠΎΡ€Ρ‚ΠΈΠΊΠΎΡΡ‚Π΅Ρ€ΠΎΠΈΠ΄Ρ‹ (ΠΈΠ“ΠšΠ‘) Π² Π²ΠΈΠ΄Π΅ Π΄Π²ΠΎΠΉΠ½Ρ‹Ρ… ΠΈ Ρ‚Ρ€ΠΎΠΉΠ½Ρ‹Ρ… ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΉ. Вройная тСрапия Ρƒ Π»ΠΈΡ† с Π°Π½Π°ΠΌΠ½Π΅Π·ΠΎΠΌ обострСний являСтся Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ эффСктивным ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ прСдотвращСния нСблагоприятных исходов. ΠŸΡ€ΠΈ этом сниТаСтся число обострСний, ΠΏΠΎΠ²Ρ‹ΡˆΠ°Π΅Ρ‚ΡΡ ΠšΠ–, замСдляСтся прогрСссированиС заболСвания ΠΈ сниТаСтся риск Π»Π΅Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… исходов. Π‘ Π΄Ρ€ΡƒΠ³ΠΎΠΉ стороны, ΠΎΡ‚Π²Π΅Ρ‚ Π½Π° Ρ‚Ρ€ΠΎΠΉΠ½ΡƒΡŽ Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ ΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΠ·ΠΌΠ΅Π½ΡΡ‚ΡŒΡΡ с Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ Π² зависимости ΠΎΡ‚ выраТСнности воспалСния Π² Π΄Ρ‹Ρ…Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… путях, активности ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ ΠΈ числа обострСний. Для Ρ‚ΠΎΠ³ΠΎ Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΡΠ΄Π΅Π»Π°Ρ‚ΡŒ Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΎΠ³ΠΎ больного пСрсонализированной ΠΈ Π±ΠΎΠ»Π΅Π΅ бСзопасной, соврСмСнными руководствами ΠΏΠΎ Π»Π΅Ρ‡Π΅Π½ΠΈΡŽ Π₯ΠžΠ‘Π› ΠΏΡ€Π΅Π΄Π»Π°Π³Π°ΡŽΡ‚ΡΡ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ показания для эскалации (Π΄ΠΎΠ±Π°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ“ΠšΠ‘) ΠΈ дСэскалации (ΠΎΡ‚ΠΌΠ΅Π½Π° ΠΈΠ“ΠšΠ‘) Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ. ΠŸΡ€ΠΈ этом ΠΌΠ½ΠΎΠ³ΠΈΠ΅ практичСскиС вопросы, Π² частности, ΠΊΠ°ΠΊ часто слСдуСт ΠΏΠ΅Ρ€Π΅ΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°Ρ‚ΡŒ схСму лСчСния ΠΈ Π½Π° ΠΊΠ°ΠΊΠΈΠ΅ показания для эскалации / дСэскалации Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ слСдуСт ΠΎΠ±Ρ€Π°Ρ‰Π°Ρ‚ΡŒ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² ΠΏΠ΅Ρ€Π²ΡƒΡŽ ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, – ΠΎΡΡ‚Π°ΡŽΡ‚ΡΡ нСдостаточно Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹ΠΌΠΈ. БоврСмСнная тСрапия Π₯ΠžΠ‘Π› Π΄ΠΎΠ»ΠΆΠ½Π° ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡ‚ΡŒ собой Ρ†Π΅Π»ΠΎΡΡ‚Π½ΡƒΡŽ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ дСйствий Π²Ρ€Π°Ρ‡Π° (ΠΊΠΎΠ½Ρ‚ΠΈΠ½ΡƒΡƒΠΌ), которая Ρ€Π΅Π°Π³ΠΈΡ€ΡƒΠ΅Ρ‚ Π½Π° измСнСния Π² состоянии ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° своСврСмСнной эскалациСй ΠΈ дСэскалациСй Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ (Π² ΠΏΠ΅Ρ€Π²ΡƒΡŽ ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Π΅Ρ‚ ΠΎ Π΄ΠΎΠ±Π°Π²Π»Π΅Π½ΠΈΠΈ ΠΈ ΠΎΡ‚ΠΌΠ΅Π½Π΅ Π“ΠšΠ‘).ЦСлью Ρ€Π°Π±ΠΎΡ‚Ρ‹ явилось созданиС Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° назначСния / ΠΎΡ‚ΠΌΠ΅Π½Ρ‹ ΠΈΠ“ΠšΠ‘ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π₯ΠžΠ‘Π›, ΠΏΠΎΠ»ΡƒΡ‡Π°ΡŽΡ‰ΠΈΡ… ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°ΡŽΡ‰ΡƒΡŽ Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ Π”Π” Π΄Π²ΠΎΠΉΠ½Ρ‹ΠΌΠΈ Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ΄ΠΈΠ»Π°Ρ‚Π°Ρ‚ΠΎΡ€Π°ΠΌΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° тСрапСвтичСского ΠΊΠΎΠ½Ρ‚ΠΈΠ½ΡƒΡƒΠΌΠ°, ΠΏΡ€ΠΈ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°ΡŽΡ‚ΡΡ Π°Π½Π°ΠΌΠ½Π΅Π· обострСний, Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΡΡ‚ΡŒ симптомов, ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ эозинофилии пСрифСричСской ΠΊΡ€ΠΎΠ²ΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ астмы.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π­Ρ‚Π° схСма ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΠΎΠ»Π΅Π·Π½Π° ΠΊΠ°ΠΊ инструмСнт Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ вСдСния ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π² условиях ограничСния доступности спСциализированной мСдицинской ΠΏΠΎΠΌΠΎΡ‰ΠΈ. ΠŸΡ€ΠΈ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡƒΠΊΠ°Π·Π°Π½Π½ΠΎΠΉ схСмы, Π»Π΅Π³ΠΊΠΎ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΠΌΠΎΠΉ Π² Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΉ клиничСской ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅, ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°ΡŽΡ‚ΡΡ основныС соврСмСнныС Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ вСдСнию ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π₯ΠžΠ‘Π›

    Π‘Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½Π°Ρ астма: Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½Ρ‹Π΅ клиничСскиС Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ диагностикС ΠΈ Π»Π΅Ρ‡Π΅Π½ΠΈΡŽ

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    Bronchial asthma is a heterogeneous disease that requires identification of its phenotype and a personalized approach to therapy. At the same time, despite a wide range of therapeutic options, many patients with asthma cannot achieve control over the disease.Methodology. The target audience of these clinical recommendations are general practitioners, therapists, pediatricians, allergologists-immunologists, pulmonologists, and functional diagnostics doctors. Each thesis-recommendation about diagnostic and therapeutic procedures has been scored according to the scales of classes of recommendations from 1 to 5 and A, B, C scale of the levels of evidence. The clinical recommendations also contain comments and explanations to the theses, algorithms for the diagnosis and treatment of bronchial asthma, and reference materials.Conclusion. The presented clinical guidelines cover current information about the etiology and pathogenesis, classification, clinical manifestations, diagnosis, treatment, and prevention of bronchial asthma. These guidelines were approved by the Scientific and Practical Council of the Ministry of Health of the Russian Federation in 2021.Β Π‘Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½Π°Ρ астма (БА) являСтся Π³Π΅Ρ‚Π΅Ρ€ΠΎΠ³Π΅Π½Π½Ρ‹ΠΌ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ΠΌ, ΠΏΡ€ΠΈ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ трСбуСтся Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Ρ„Π΅Π½ΠΎΡ‚ΠΈΠΏΠΎΠ² ΠΈ пСрсонифицированный ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΊ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ. ΠŸΡ€ΠΈ этом нСсмотря Π½Π° ΡˆΠΈΡ€ΠΎΠΊΠΈΠΉ Π²Ρ‹Π±ΠΎΡ€ тСрапСвтичСских возмоТностСй, Ρƒ ΠΌΠ½ΠΎΠ³ΠΈΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с БА Π½Π΅ удаСтся Π΄ΠΎΡΡ‚ΠΈΡ‡ΡŒ контроля Π½Π°Π΄ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ΠΌ.ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π¦Π΅Π»Π΅Π²ΠΎΠΉ Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΠ΅ΠΉ Π΄Π°Π½Π½Ρ‹Ρ… клиничСских Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΉ ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π²Ρ€Π°Ρ‡ΠΈ ΠΎΠ±Ρ‰Π΅ΠΉ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ, Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚Ρ‹, ΠΏΠ΅Π΄ΠΈΠ°Ρ‚Ρ€Ρ‹, Π°Π»Π»Π΅Ρ€Π³ΠΎΠ»ΠΎΠ³ΠΈ-ΠΈΠΌΠΌΡƒΠ½ΠΎΠ»ΠΎΠ³ΠΈ, ΠΏΡƒΠ»ΡŒΠΌΠΎΠ½ΠΎΠ»ΠΎΠ³ΠΈ ΠΈ Π²Ρ€Π°Ρ‡ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ диагностики. ΠšΠ°ΠΆΠ΄Ρ‹ΠΉ тСзис-рСкомСндация ΠΏΠΎ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡŽ диагностичСских ΠΈ Π»Π΅Ρ‡Π΅Π±Π½Ρ‹Ρ… мСроприятий оцСниваСтся ΠΏΠΎ шкалам ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ достовСрности Π΄ΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒΡΡ‚Π² ΠΎΡ‚ 1 Π΄ΠΎ 5 ΠΈ шкалС ΠΎΡ†Π΅Π½ΠΊΠΈ ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ ΡƒΠ±Π΅Π΄ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΉ ΠΏΠΎ катСгориям А, Π’, Π‘. ΠšΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ содСрТат Ρ‚Π°ΠΊΠΆΠ΅ ΠΊΠΎΠΌΠΌΠ΅Π½Ρ‚Π°Ρ€ΠΈΠΈ ΠΈ Ρ€Π°Π·ΡŠΡΡΠ½Π΅Π½ΠΈΡ ΠΊ ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹ΠΌ тСзисам-рСкомСндациям, Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΡ‹ ΠΏΠΎ диагностикС ΠΈ Π»Π΅Ρ‡Π΅Π½ΠΈΡŽ БА, справочныС ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. По Π΄Π°Π½Π½Ρ‹ΠΌ прСдставлСнных клиничСских Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΉ ΠΎΡΠ²Π΅Ρ‰Π°ΡŽΡ‚ΡΡ соврСмСнныС свСдСния ΠΎΠ± этиологии ΠΈ ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π·Π΅, классификации, клиничСских проявлСниях, диагностикС, Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ ΠΈ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠ΅ БА. ΠšΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΎΠ΄ΠΎΠ±Ρ€Π΅Π½Ρ‹ Научно-практичСским Π‘ΠΎΠ²Π΅Ρ‚ΠΎΠΌ ΠœΠΈΠ½ΠΈΡΡ‚Π΅Ρ€ΡΡ‚Π²Π° здравоохранСния Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ (2021).

    Clinical features of post-COVID-19 period. Results of the international register β€œDynamic analysis of comorbidities in SARS-CoV-2 survivors (AKTIV SARS-CoV-2)”. Data from 6-month follow-up

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    Aim. To study the clinical course specifics of coronavirus disease 2019 (COVID-19) and comorbid conditions in COVID-19 survivors 3, 6, 12 months after recovery in the Eurasian region according to the AKTIV register. Material and methods.The AKTIV register was created at the initiative of the Eurasian Association of Therapists. The AKTIV register is divided into 2 parts: AKTIV 1 and AKTIV 2. The AKTIV 1 register currently includes 6300 patients, while in AKTIV 2 β€” 2770. Patients diagnosed with COVID-19 receiving in- and outpatient treatment have been anonymously included on the registry. The following 7 countries participated in the register: Russian Federation, Republic of Armenia, Republic of Belarus, Republic of Kazakhstan, Kyrgyz Republic, Republic of Moldova, Republic of Uzbekistan. This closed multicenter register with two nonoverlapping branches (in- and outpatient branch) provides 6 visits: 3 in-person visits during the acute period and 3 telephone calls after 3, 6, 12 months. Subject recruitment lasted from June 29, 2020 to October 29, 2020. Register will end on October 29, 2022. A total of 9 fragmentary analyzes of the registry data are planned. This fragment of the study presents the results of the post-hospitalization period in COVID-19 survivors after 3 and 6 months. Results. According to the AKTIV register, patients after COVID-19 are characterized by long-term persistent symptoms and frequent seeking for unscheduled medical care, including rehospitalizations. The most common causes of unplanned medical care are uncontrolled hypertension (HTN) and chronic coronary artery disease (CAD) and/or decompensated type 2 diabetes (T2D). During 3- and 6-month follow-up after hospitalization, 5,6% and 6,4% of patients were diagnosed with other diseases, which were more often presented by HTN, T2D, and CAD. The mortality rate of patients in the post-hospitalization period was 1,9% in the first 3 months and 0,2% for 4-6 months. The highest mortality rate was observed in the first 3 months in the group of patients with class II-IV heart failure, as well as in patients with cardiovascular diseases and cancer. In the pattern of death causes in the post-hospitalization period, following cardiovascular causes prevailed (31,8%): acute coronary syndrome, stroke, acute heart failure. Conclusion. According to the AKTIV register, the health status of patients after COVID-19 in a serious challenge for healthcare system, which requires planning adequate health system capacity to provide care to patients with COVID-19 in both acute and post-hospitalization period
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