MétaCan
Menu
Back to cohort
Record W4309219821 · doi:10.23856/5326

PATHOLOGICAL IMMUNITY CHANGES IN COMORBID PATIENTS WITH EXACERBATION OF BRONCHIAL ASTHMA

2022· article· en· W4309219821 on OpenAlexaboutno aff
Y. I. Feshchenko, Iryna Illyinskaya, L. M. Kuryk

Bibliographic record

VenuePolonia University Scientific Journal · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsnot available
Fundersnot available
KeywordsExacerbationAsthmaImmunologyCD3AntigenPathologicalAutoAnalyzerMedicineMonoclonal antibodyCD8AntibodyPathologyInternal medicine

Abstract

fetched live from OpenAlex

The aim of the study – to investigate immunological changes in patients with exacerbation of bronchial asthma with different severity and controllability depending on the presence of comorbid pathology. Materials and methods of research. The work is based on the analysis of data from a comprehensive clinical and laboratory examination of 190 patients with exacerbation of asthma. The relative content of T–lymphocytes and their main subpopulations was determined on a flow cytofluorimeter FACS Calibur (Canada) by phenotyping lymphocytes with monoclonal antibodies (BECKMAN COULTER, USA) to surface membrane differentiation antigens (CD): CD3+19– (pan T-cells), CD4+–8+– (T−helpers/inducers), CD4–8+ (cytotoxic T lymphocytes), CD3–16+ (natural killers). To identify the imbalance of immunoregulatory subpopulations of T cells, the immunoregulatory index was calculated – the ratio of the number of CD4+8– Lf and CD4-8+ Lf. To calculate the absolute content in the peripheral blood of individual populations of Lf, leukogram indicators determined on the hematological analyzer ABH-miscros60, France were used. The proliferative activity of lymphocytes was evaluated in cultures of whole blood in the reaction of blast transformation of these cells with morphological accounting of the results. Statistical processing of the obtained data was carried out using licensed software products included in the Microsoft Office Professional 2007 package, license Russian Academic OPEN No Level № 43437596 in Excel. Conclusions. In moderate asthma, the frequency of pathological changes in the T-system of immunity did not depend on the presence of comorbid pathology, as a rule. In severe asthma, an increase in the content of pan–T cells occurred 1.2 times more often than in moderate asthma, but this was not observed in people with concomitant pathology. In this group, the frequency of increasing the content of T–helpers and decreasing the content of cytotoxic T – cells in patients with severe asthma without concomitant diseases was 1.3 times more frequent than in patients with comorbid pathology. No pathological changes in the T–system were detected in patients with controlled asthma. In partially controlled asthma, these changes were registered 1.5 times more often than in controlled asthma, and in its uncontrolled course, the prevalence of pathological changes in the T–system of immunity was much higher than in the two previous groups. In patients with concomitant diseases, these changes, as a rule, had a higher frequency than in patients without comorbid pathology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.201
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePolonia University Scientific JournalSame topicImmune responses and vaccinationsFrench-language works237,207