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Dissecting Secondary Immunodeficiency: Identification of Primary Immunodeficiency within B-Cell Lymphoproliferative Disorders.

Authors :
Palacios-Ortega M
Guerra-Galán T
Jiménez-Huete A
García-Aznar JM
Pérez-Guzmán M
Mansilla-Ruiz MD
Mendiola ÁV
López CP
Hornero EM
Rodriguez AP
Cortijo AP
Polo Zarzuela M
Morales MM
Mandly EA
Cárdenas MC
Carrero A
García CJ
Bolaños E
Íñigo B
Medina F
de la Fuente E
Ochoa-Grullón J
García-Solís B
García-Carmona Y
Fernández-Arquero M
Benavente-Cuesta C
de Diego RP
Rider N
Sánchez-Ramón S
Source :
Journal of clinical immunology [J Clin Immunol] 2024 Oct 23; Vol. 45 (1), pp. 32. Date of Electronic Publication: 2024 Oct 23.
Publication Year :
2024

Abstract

Distinguishing between primary (PID) and secondary (SID) immunodeficiencies, particularly in relation to hematological B-cell lymphoproliferative disorders (B-CLPD), poses a major clinical challenge. We aimed to analyze and define the clinical and laboratory variables in SID patients associated with B-CLPD, identifying overlaps with late-onset PIDs, which could potentially improve diagnostic precision and prognostic assessment. We studied 37 clinical/laboratory variables in 151 SID patients with B-CLPD. Patients were classified as "Suspected PID Group" when having recurrent-severe infections prior to the B-CLPD and/or hypogammaglobulinemia according to key ESID criteria for PID. Bivariate association analyses showed significant statistical differences between "Suspected PID"- and "SID"-groups in 10 out of 37 variables analyzed, with "Suspected PID" showing higher frequencies of childhood recurrent-severe infections, family history of B-CLPD, significantly lower serum Free Light Chain (sFLC), immunoglobulin concentrations, lower total leukocyte, and switch-memory B-cell counts at baseline. Rpart machine learning algorithm was performed to potentially create a model to differentiate both groups. The model developed a decision tree with two major variables in order of relevance: sum κ + λ and history of severe-recurrent infections in childhood, with high sensitivity 89.5%, specificity 100%, and accuracy 91.8% for PID prediction. Identifying significant clinical and immunological variables can aid in the difficult task of recognizing late-onset PIDs among SID patients, emphasizing the value of a comprehensive immunological evaluation. The differences between "Suspected PID" and SID groups, highlight the need of early, tailored diagnostic and treatment strategies for personalized patient management and follow up.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1573-2592
Volume :
45
Issue :
1
Database :
MEDLINE
Journal :
Journal of clinical immunology
Publication Type :
Academic Journal
Accession number :
39441407
Full Text :
https://doi.org/10.1007/s10875-024-01818-2