Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75159
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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