Prediction of Type 2 Diabetes by Hemoglobin A1c in Two Community-Based Cohorts | Zendy

Aaron Leong | Zendy; Natalie Daya | Zendy; Bianca Porneala | Zendy; James J. Devlin | Zendy; Dov Shiffman | Zendy; Michael J. McPhaul | Zendy; Elizabeth Selvin | Zendy; James B. Meigs | Zendy

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Prediction of Type 2 Diabetes by Hemoglobin A1c in Two Community-Based Cohorts

Author(s) -

Aaron Leong,

Natalie Daya,

Bianca Porneala,

James J. Devlin,

Dov Shiffman,

Michael J. McPhaul,

Elizabeth Selvin,

James B. Meigs

Publication year - 2017

Publication title -

diabetes care

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.636

H-Index - 363

eISSN - 1935-5548

pISSN - 0149-5992

DOI - 10.2337/dc17-0607

Subject(s) - medicine , type 2 diabetes , diabetes mellitus , cohort , odds ratio , demographics , framingham risk score , framingham heart study , cohort study , prospective cohort study , demography , endocrinology , disease , sociology

Hemoglobin A 1c (HbA 1c ) can be used to assess type 2 diabetes (T2D) risk. We asked whether HbA 1c was associated with T2D risk in four scenarios of clinical information availability: 1 ) HbA 1c alone, 2 ) fasting laboratory tests, 3 ) clinic data, and 4 ) fasting laboratory tests and clinic data.

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