Utilization of electronic health records for the assessment of adiponectin receptor autoantibodies during the progression of cardio-metabolic comorbidities | Zendy

Michael J. Pugia | Zendy; Meeta Pradhan | Zendy; Rong Qi | Zendy; Doreen Eastes | Zendy; Anna Vorsilak | Zendy; Bradley J. Mills | Zendy; Zane Baird | Zendy; Aruna B. Wijeratne | Zendy; Scott M. McAhren | Zendy; Amber L. Mosley | Zendy; Anantha Shekhar | Zendy; D. H. Robertson | Zendy

Open Access

Utilization of electronic health records for the assessment of adiponectin receptor autoantibodies during the progression of cardio-metabolic comorbidities

Author(s) -

Michael J. Pugia,

Meeta Pradhan,

Rong Qi,

Doreen Eastes,

Anna Vorsilak,

Bradley J. Mills,

Zane Baird,

Aruna B. Wijeratne,

Scott M. McAhren,

Amber L. Mosley,

Anantha Shekhar,

D. H. Robertson

Publication year - 2020

Publication title -

archives of autoimmune diseases

Language(s) - English

Resource type - Journals

ISSN - 2767-3340

DOI - 10.46439/autoimmune.1.004

Subject(s) - medicine , comorbidity , adiponectin , diabetes mellitus , autoantibody , cohort , odds ratio , immunology , obesity , endocrinology , antibody , insulin resistance

Diabetes is a complex, multi-symptomatic disease whose complications drives increases in healthcare costs as the diabetes prevalence grows rapidly world-wide. Real-world electronic health records (EHRs) coupled with patient biospecimens, biological understanding, and technologies can characterize emerging diagnostic autoimmune markers resulting from proteomic discoveries.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research