Validation of a Prediction Rule forLegionellaPneumonia in Emergency Department Patients | Zendy

Rebekka Bolliger | Zendy; Olivia Neeser | Zendy; Meret Merker | Zendy; Tanja Vukajlovic | Zendy; Laetitia Felder | Zendy; Rico Fiumefreddo | Zendy; Sebastian Haubitz | Zendy; Daniel Koch | Zendy; Angelika HammererLercher | Zendy; Cornelia Ottiger | Zendy; Christoph A. Fux | Zendy; Beat Müeller | Zendy; Philipp Schüetz | Zendy

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Validation of a Prediction Rule forLegionellaPneumonia in Emergency Department Patients

Author(s) -

Rebekka Bolliger,

Olivia Neeser,

Meret Merker,

Tanja Vukajlovic,

Laetitia Felder,

Rico Fiumefreddo,

Sebastian Haubitz,

Daniel Koch,

Angelika HammererLercher,

Cornelia Ottiger,

Christoph A. Fux,

Beat Müeller,

Philipp Schüetz

Publication year - 2019

Publication title -

open forum infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.546

H-Index - 35

ISSN - 2328-8957

DOI - 10.1093/ofid/ofz268

Subject(s) - medicine , emergency department , clinical prediction rule , legionella , pneumonia , emergency medicine , intensive care medicine , medical emergency , nursing , biology , bacteria , genetics

We validated a clinical prediction rule for Legionella based on clinical parameters (dry cough, fever) and laboratory findings (C-reactive protein, lactate dehydrogenase, sodium, platelet counts) in 713 consecutive patients with community-acquired pneumonia. The Legionella Score performed well in estimating the likelihood for Legionella infection and thus may help to direct diagnostic and therapeutic decisions.

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