HOMA indices as screening tests for cystic fibrosis-related diabetes.


Journal

Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society
ISSN: 1873-5010
Titre abrégé: J Cyst Fibros
Pays: Netherlands
ID NLM: 101128966

Informations de publication

Date de publication:
01 2022
Historique:
received: 06 02 2021
revised: 19 04 2021
accepted: 17 05 2021
pubmed: 7 6 2021
medline: 3 3 2022
entrez: 6 6 2021
Statut: ppublish

Résumé

We assessed the diagnostic performances of homeostasis model assessment indices (HOMA) of β-cell function (HOMA-%β) and of insulin resistance (HOMA-IR) for cystic fibrosis related diabetes (CFRD) screening. Data were collected from a prospective cohort of 228 patients with CF (117 adults and 111 children). Fasting insulin and glucose levels were measured to calculate HOMA-%β and HOMA-IR. HOMA-%β <100 indicated insulin secretion deficiency and HOMA-IR >1 insulin resistance. Both were used to calculate sensitivity, specificity, and positive and negative predictive values (PPV and NPV). Two-hour oral glucose tolerance tests (2h-OGTT) defined CFRD. Analyses were conducted separately for children and adults. Performances of HOMA-%β and HOMA-IR were calculated at inclusion, for each year of follow-up and for pooled data over the follow-up period. Sensitivity, specificity, NPV and PPV were respectively: 88%, 45%, 98% and 11% for HOMA-%β and 42%, 48%, 91% and 6% for HOMA-IR in the pooled data of children; and 83%, 18%, 90% and 10% for HOMA-%β, and 39%, 80%, 92% and 18% for HOMA-IR in the pooled data of adults. Combining HOMA-%β and HOMA-IR did not improve performances. Within both age groups, HOMA-%β <100 provided good sensitivity and NPV. HOMA-IR >1 had low sensitivity. Calculation of the HOMA-%β could be an interesting first-line screening approach to exclude CFRD and thus avoid unnecessary OGTT in patients for whom value is ≥100. However, HOMA-%β<100 does not support the diagnosis of CFRD and should be complemented by OGTT.

Sections du résumé

BACKGROUND
We assessed the diagnostic performances of homeostasis model assessment indices (HOMA) of β-cell function (HOMA-%β) and of insulin resistance (HOMA-IR) for cystic fibrosis related diabetes (CFRD) screening.
METHODS
Data were collected from a prospective cohort of 228 patients with CF (117 adults and 111 children). Fasting insulin and glucose levels were measured to calculate HOMA-%β and HOMA-IR. HOMA-%β <100 indicated insulin secretion deficiency and HOMA-IR >1 insulin resistance. Both were used to calculate sensitivity, specificity, and positive and negative predictive values (PPV and NPV). Two-hour oral glucose tolerance tests (2h-OGTT) defined CFRD. Analyses were conducted separately for children and adults. Performances of HOMA-%β and HOMA-IR were calculated at inclusion, for each year of follow-up and for pooled data over the follow-up period.
RESULTS
Sensitivity, specificity, NPV and PPV were respectively: 88%, 45%, 98% and 11% for HOMA-%β and 42%, 48%, 91% and 6% for HOMA-IR in the pooled data of children; and 83%, 18%, 90% and 10% for HOMA-%β, and 39%, 80%, 92% and 18% for HOMA-IR in the pooled data of adults. Combining HOMA-%β and HOMA-IR did not improve performances.
CONCLUSION
Within both age groups, HOMA-%β <100 provided good sensitivity and NPV. HOMA-IR >1 had low sensitivity. Calculation of the HOMA-%β could be an interesting first-line screening approach to exclude CFRD and thus avoid unnecessary OGTT in patients for whom value is ≥100. However, HOMA-%β<100 does not support the diagnosis of CFRD and should be complemented by OGTT.

Identifiants

pubmed: 34090803
pii: S1569-1993(21)00161-2
doi: 10.1016/j.jcf.2021.05.010
pii:
doi:

Substances chimiques

Biomarkers 0
Blood Glucose 0
Insulin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

123-128

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None

Auteurs

Tom Toin (T)

Centre de ressources et de compétences pour la Mucoviscidose, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Bron, France.

Quitterie Reynaud (Q)

Centre de ressources et de compétences pour la Mucoviscidose, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France; Université Claude Bernard Lyon 1, Research on Healthcare Performance (RESHAPE), INSERM U1290, Lyon, France.

Angélique Denis (A)

Hospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique et Bioinformatique, Lyon, France; CNRS, Université de Lyon, UMR5558 Biométrie et Biologie Evolutive, Villeurbanne, France.

Isabelle Durieu (I)

Centre de ressources et de compétences pour la Mucoviscidose, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France; Université Claude Bernard Lyon 1, Research on Healthcare Performance (RESHAPE), INSERM U1290, Lyon, France.

Catherine Mainguy (C)

Centre de ressources et de compétences pour la Mucoviscidose, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Bron, France.

Catherine Llerena (C)

Centre de ressources et de compétences pour la Mucoviscidose, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France.

Isabelle Pin (I)

Centre de ressources et de compétences pour la Mucoviscidose, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France; INSERM Institut for Advanced Biosciences, Grenoble, Université Grenoble Alpes, Grenoble France.

Sandrine Touzet (S)

Université Claude Bernard Lyon 1, Research on Healthcare Performance (RESHAPE), INSERM U1290, Lyon, France; Hospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique et Bioinformatique, Lyon, France.

Philippe Reix (P)

Centre de ressources et de compétences pour la Mucoviscidose, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, Bron, France; CNRS, Université de Lyon, UMR5558 Biométrie et Biologie Evolutive, Villeurbanne, France. Electronic address: philippe.reix@chu-lyon.fr.

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Classifications MeSH