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Title: | Многофакторный анализ «генеалогических маркеров» у взрослых с первичными иммунодефицитами |
Other Titles: | Multivariate analysis of genealogical markers in adults with primary immunodeficiencies |
Authors: | Karakina, M. L. Shershnev, V. N. Каракина, М. Л. Шершнев, В. Н. |
Issue Date: | 2016 |
Publisher: | Media Sphera Publishing House Издательство «Медиа Сфера» |
Citation: | Каракина М. Л. Многофакторный анализ «генеалогических маркеров» у взрослых с первичными иммунодефицитами / М. Л. Каракина, В. Н. Шершнев // Терапевтический архив. — 2016. — Т. 88. — №. 4. — С. 46-52. |
Abstract: | Aim. To study the genealogy of adult patients with primary immunodeficiencies (PID) and to analyze its data in the relatives of these patients. Subjects and methods. A genealogical analysis was carried out in 74 adult patients with PID and 200 adults without this condition, by examining groups of signs in the relatives in at least 4 generations, the genealogical markers were an atypical infectious and inflammatory process; allergic diseases; autoimmune diseases; the presence of relatives with cancers; cases of reproductive dysfunction; deaths from infectious diseases and/or cancers in children; and congenital malformations. The percentage of relatives with the above genealogical markers of the total number of the relatives in 4 generations was used as an indicator. The analysis applied nonparametric methods, such as quartile analysis, Spearmans correlation coefficient, and Mann-Whitney test to verify the statistical significance of differences between the independent groups. Multifactor prediction models were based on the decision theory (Wald-Bayesian analysis) and classification trees. At Stage 1, the investigators made a univariate analysis, the data of which were used to perform a correlation analysis of the indicators. Multifactor prediction models were based on the decision theory (Wald-Bayesian analysis) and classification trees. Results. The genealogical markers were identified and analyzed using different statistical methods and conclusions were made on prognostically significant indicators. Conclusion. The findings may be recommended for practical use in order to enhance the efficiency of work with patients having various immunopathological syndromes. |
Keywords: | ATYPICAL INFECTIOUS AND INFLAMMATORY PROCESS GENEALOGICAL MARKERS GENEALOGY MULTIVARIATE ANALYSIS PRIMARY IMMUNODEFICIENCIES BIOLOGICAL MARKER ADULT BAYES THEOREM GENETIC MARKER GENETICS HUMAN IMMUNE DEFICIENCY MULTIVARIATE ANALYSIS ADULT BAYES THEOREM BIOMARKERS GENETIC MARKERS HUMANS IMMUNOLOGIC DEFICIENCY SYNDROMES MULTIVARIATE ANALYSIS |
URI: | http://elar.urfu.ru/handle/10995/75159 |
Access: | info:eu-repo/semantics/openAccess |
RSCI ID: | 25870871 |
SCOPUS ID: | 84997822219 |
WOS ID: | 000375628300009 |
PURE ID: | 865676 |
ISSN: | 0040-3660 |
DOI: | 10.17116/terarkh201688446-52 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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10.17116-terarkh201688446-52.pdf | 183,98 kB | Adobe PDF | View/Open |
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