A model integrating Killer Immunoglobulin-like Receptor (KIR) haplotypes for risk prediction of COVID-19 clinical disease severity
| Autor: | Emine Begum Gencer-Oncul, Guldane Cengiz Seval, Ezgi Gülten, Hasan Yalim Akin, Meral Beksac, Mahsa Yousefzadeh, Güle Çınar, Osman Memikoglu, İrem Akdemir Kalkan, Klara Dalva, Ergun Karaagaoglu |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Oncology
Adult Male medicine.medical_specialty Allergy Turkey Immunology Biology Killer Immunoglobulin-like Receptor (KIR) Ligands Asymptomatic Risk Assessment Severity of Illness Index Receptors KIR HLA Antigens Internal medicine Genotype Genetics medicine Humans Genetic Predisposition to Disease Prospective Studies Prospective cohort study Aged Aged 80 and over Models Statistical SARS-CoV-2 Haplotype COVID-19 Middle Aged medicine.disease Human genetics Clinical research Haplotypes ROC Curve Original Article Female medicine.symptom Natural killer (NK) cells Cohort study |
| Zdroj: | Immunogenetics |
| ISSN: | 1432-1211 0093-7711 |
| Popis: | Graphical abstract 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 |
| Databáze: | OpenAIRE |
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