A model integrating Killer Immunoglobulin-like Receptor (KIR) haplotypes for risk prediction of COVID-19 clinical disease severity.
Adult
Aged
Aged, 80 and over
COVID-19
/ diagnosis
Female
Genetic Predisposition to Disease
/ epidemiology
HLA Antigens
/ genetics
Haplotypes
Humans
Ligands
Male
Middle Aged
Models, Statistical
Prospective Studies
ROC Curve
Receptors, KIR
/ genetics
Risk Assessment
SARS-CoV-2
Severity of Illness Index
Turkey
/ epidemiology
COVID-19
Killer Immunoglobulin-like Receptor (KIR)
Natural killer (NK) cells
SARS-CoV-2
Journal
Immunogenetics
ISSN: 1432-1211
Titre abrégé: Immunogenetics
Pays: United States
ID NLM: 0420404
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
received:
24
05
2021
accepted:
14
08
2021
pubmed:
19
9
2021
medline:
19
11
2021
entrez:
18
9
2021
Statut:
ppublish
Résumé
Associations between inherited Killer Immunoglobulin-like Receptor (KIR) genotypes and the severity of multiple RNA virus infections have been reported. This prospective study was initiated to investigate if such an association exists for COVID-19. In this cohort study performed at Ankara University, 132 COVID-19 patients (56 asymptomatic, 51 mild-intermediate, and 25 patients with severe disease) were genotyped for KIR and ligands. Ankara University Donor Registry (n:449) KIR data was used for comparison. Clinical parameters (age, gender, comorbidities, blood group antigens, inflammation biomarkers) and KIR genotypes across cohorts of asymptomatic, mild-intermediate, or severe disease were compared to construct a risk prediction model based on multivariate binary logistic regression analysis with backward elimination method. Age, blood group, number of comorbidities, CRP, D-dimer, and telomeric and centromeric KIR genotypes (tAA, tAB1, and cAB1) along with their cognate ligands were found to differ between cohorts. Two prediction models were constructed; both included age, number of comorbidities, and blood group. Inclusion of the KIR genotypes in the second prediction model exp (-3.52 + 1.56 age group - 2.74 blood group (type A vs others) + 1.26 number of comorbidities - 2.46 tAB1 with ligand + 3.17 tAA with ligand) increased the predictive performance with a 92.9% correct classification for asymptomatic and 76% for severe cases (AUC: 0.93; P < 0.0001, 95% CI 0.88, 0.99). This novel risk model, consisting of KIR genotypes with their cognate ligands, and clinical parameters but excluding earlier published inflammation-related biomarkers allow for the prediction of the severity of COVID-19 infection prior to the onset of infection. This study is listed in the National COVID-19 clinical research studies database.
Identifiants
pubmed: 34536086
doi: 10.1007/s00251-021-01227-4
pii: 10.1007/s00251-021-01227-4
pmc: PMC8449213
doi:
Substances chimiques
HLA Antigens
0
Ligands
0
Receptors, KIR
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
449-458Subventions
Organisme : ankara universitesi
ID : 20Y0901012
Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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