PuSH - Publikationsserver des Helmholtz Zentrums München: Interactions of age, islet cell antibodies, insulin autoantibodies, and first-phase insulin response in predicting risk of progression to IDDM in ICA+ relatives: The ICARUS data set.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Bingley, P.J.*

Interactions of age, islet cell antibodies, insulin autoantibodies, and first-phase insulin response in predicting risk of progression to IDDM in ICA+ relatives: The ICARUS data set.

Diabetes 45, 1720-1728 (1996)

DOI

PMC

Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

Abstract
Metriken
Zusatzinfos

Many studies have examined the role of age, islet cell antibodies (ICAs), insulin autoantibodies (IAAs), and first-phase insulin responses (FPIRs) to an intravenous glucose tolerance test (IVGTT) as markers of risk of progression to IDDM, but a large data set is required for the analysis of the interactions between these markers. The Islet Cell Antibody Register Users Study (ICARUS) register includes 456 first-degree relatives with ICA levels > or = 5 JDF U confirmed in a reference laboratory, 108 of whom have progressed to IDDM in the course of prospective follow-up. Analysis of this data set confirmed the importance of the loss of FPIR, high ICA titer, coexistence of IAA, and young age in enhancing the risk of progression to the disease. The influence of any given marker of risk is modified by the presence or absence of the other markers. Cox regression analysis performed in a subset of 217 subjects for whom IVGTT, ICA, and IAA data were available showed that risk was most strongly associated with loss of FPIR; IAA and ICA titer contributed equally to the model, while age was also an independent risk determinant.

Impact Factor

Scopus SNIP

Altmetric

0.000