TY - JOUR
T1 - Identifying potentially undiagnosed individuals with hyper-IgE syndrome using a scoring system
AU - Finkelshtain, Sheree
AU - Cohen-Engler, Anat
AU - Rosman, Yossi
AU - Sity-Harel, Saray
AU - Hornik-Lurie, Tzipi
AU - Garty, Ben Zion
AU - Confino-Cohen, Ronit
AU - Lachover-Roth, Idit
N1 - Publisher Copyright:
© 2024 American College of Allergy, Asthma & Immunology
PY - 2024
Y1 - 2024
N2 - Background: Hyper-IgE syndrome (HIES) constitutes a group of rare primary immunodeficiency disorders. The diagnosis relies on the National Institutes of Health (NIH) scoring system, incorporating clinical and laboratory data. Scores greater than or equal to 15 raise a strong suspicion of the disease. In an isolated Israeli population, Zinc Finger 341 deficiency, a subtype of HIES, has a carrier incidence of 1:20, but the prevalence of the clinical syndrome within this community remains unknown. Objective: To estimate the prevalence of potentially undiagnosed HIES cases within this population by using the NIH scoring criteria. Methods: This retrospective cohort study obtained requisite clinical and laboratory data for NIH score computation from the electronic medical records of Clalit Health Services for the isolated village under scrutiny in comparison to a neighboring village. Subsequently, clinical scores were assigned to each subject, enabling comparative analysis of suspected diagnosis rates between the 2 populations. Results: Among the 29,390 studied subjects, 12 had a documented diagnosis of HIES. All were in the study village, and none were from the control village (0.08% vs 0%, P < .01). Within the study village, 235 individuals (1.62%) had an NIH score greater than or equal to 15 and were suspected with having HIES almost doubled compared with the control group at 130 individuals (0.87%) (P < .001). Conclusion: This is the first time the NIH clinical score system has been used for population screening. The significant disparity in the prevalence of suspected, undiagnosed cases between the study village and the control village strongly suggests the potential utility of this tool for preliminary screening.
AB - Background: Hyper-IgE syndrome (HIES) constitutes a group of rare primary immunodeficiency disorders. The diagnosis relies on the National Institutes of Health (NIH) scoring system, incorporating clinical and laboratory data. Scores greater than or equal to 15 raise a strong suspicion of the disease. In an isolated Israeli population, Zinc Finger 341 deficiency, a subtype of HIES, has a carrier incidence of 1:20, but the prevalence of the clinical syndrome within this community remains unknown. Objective: To estimate the prevalence of potentially undiagnosed HIES cases within this population by using the NIH scoring criteria. Methods: This retrospective cohort study obtained requisite clinical and laboratory data for NIH score computation from the electronic medical records of Clalit Health Services for the isolated village under scrutiny in comparison to a neighboring village. Subsequently, clinical scores were assigned to each subject, enabling comparative analysis of suspected diagnosis rates between the 2 populations. Results: Among the 29,390 studied subjects, 12 had a documented diagnosis of HIES. All were in the study village, and none were from the control village (0.08% vs 0%, P < .01). Within the study village, 235 individuals (1.62%) had an NIH score greater than or equal to 15 and were suspected with having HIES almost doubled compared with the control group at 130 individuals (0.87%) (P < .001). Conclusion: This is the first time the NIH clinical score system has been used for population screening. The significant disparity in the prevalence of suspected, undiagnosed cases between the study village and the control village strongly suggests the potential utility of this tool for preliminary screening.
UR - http://www.scopus.com/inward/record.url?scp=85202454658&partnerID=8YFLogxK
U2 - 10.1016/j.anai.2024.07.028
DO - 10.1016/j.anai.2024.07.028
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C2 - 39103119
AN - SCOPUS:85202454658
SN - 1081-1206
JO - Annals of Allergy, Asthma and Immunology
JF - Annals of Allergy, Asthma and Immunology
ER -