Assessing the Hereditary Hemorrhagic Telangiectasia Algorithms in a Community-Based Patient Population | Zendy

Tina Saparia | Zendy; Marie E. Faughnan | Zendy; Jennifer L. Schneider | Zendy; Lucy Almers | Zendy; N.H. Chow | Zendy; Scott D. Grosse | Zendy; Helen Kim | Zendy; Jonathan G. Zaroff | Zendy

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Assessing the Hereditary Hemorrhagic Telangiectasia Algorithms in a Community-Based Patient Population

Author(s) -

Tina Saparia,

Marie E. Faughnan,

Jennifer L. Schneider,

Lucy Almers,

N.H. Chow,

Scott D. Grosse,

Helen Kim,

Jonathan G. Zaroff

Publication year - 2019

Publication title -

the permanente journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.445

H-Index - 30

eISSN - 1552-5775

pISSN - 1552-5767

DOI - 10.7812/tpp/18-145

Subject(s) - medicine , telangiectasia , population , cohort , algorithm , diagnosis code , pediatrics , genetic testing , surgery , environmental health , computer science

Hereditary hemorrhagic telangiectasia (HHT) is a rare, genetic, and underdiagnosed disease that causes vascular malformations throughout the body. Two specific combinations of International Classification of Diseases, Ninth Revision-Clinical Modification diagnosis codes, the "HHT Algorithms" (HHTAs), were developed previously from a derivation cohort to help identify undiagnosed HHT cases.

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