A 2-Biomarker Model Augments Clinical Prediction of Mortality in Melioidosis | Zendy

Shelton W. Wright | Zendy; Taniya Kaewarpai | Zendy; Lara Lovelace-Macon | Zendy; Deirdre R. Ducken | Zendy; Viriya Hantrakun | Zendy; Kristina E. Rudd | Zendy; Prapit Teparrukkul | Zendy; Rungnapa Phunpang | Zendy; Peeraya Ekchariyawat | Zendy; Adul Dulsuk | Zendy; Boonhthanom Moonmueangsan | Zendy; Chumpol Morakot | Zendy; Ekkachai Thiansukhon | Zendy; Direk Limmathurotsakul | Zendy; Narisara Chantratita | Zendy; T. Eoin West | Zendy

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A 2-Biomarker Model Augments Clinical Prediction of Mortality in Melioidosis

Author(s) -

Shelton W. Wright,

Taniya Kaewarpai,

Lara Lovelace-Macon,

Deirdre R. Ducken,

Viriya Hantrakun,

Kristina E. Rudd,

Prapit Teparrukkul,

Rungnapa Phunpang,

Peeraya Ekchariyawat,

Adul Dulsuk,

Boonhthanom Moonmueangsan,

Chumpol Morakot,

Ekkachai Thiansukhon,

Direk Limmathurotsakul,

Narisara Chantratita,

T. Eoin West

Publication year - 2020

Publication title -

clinical infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.44

H-Index - 336

eISSN - 1537-6591

pISSN - 1058-4838

DOI - 10.1093/cid/ciaa126

Subject(s) - melioidosis , medicine , burkholderia pseudomallei , biomarker , logistic regression , receiver operating characteristic , confidence interval , lasso (programming language) , pathology , biochemistry , chemistry , genetics , world wide web , bacteria , computer science , biology

Melioidosis, infection caused by Burkholderia pseudomallei, is a common cause of sepsis with high associated mortality in Southeast Asia. Identification of patients at high likelihood of clinical deterioration is important for guiding decisions about resource allocation and management. We sought to develop a biomarker-based model for 28-day mortality prediction in melioidosis.

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