Predicting adverse outcomes in adults with a community-acquired lower respiratory tract infection: a protocol for the development and validation of two prediction models for (i) all-cause hospitalisation and mortality and (ii) cardiovascular outcomes

Predicting adverse outcomes in adults with a community-acquired lower respiratory tract infection: a protocol for the development and validation of two prediction models for (i) all-cause hospitalisation and mortality and (ii) cardiovascular outcomes

Abstract Background Community-acquired lower respiratory tract infections (LRTI) are common in primary care and patients at particular risk of adverse outcomes, e.g., hospitalisation and mortality, are challenging to identify. LRTIs are also linked to an increased incidence of cardiovascular disease...

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Bibliographic Details
Main Authors: Merijn H. Rijk, Tamara N. Platteel, Geert-Jan Geersing, Monika Hollander, Bert L. G. P. Dalmolen, Paul Little, Frans H. Rutten, Maarten van Smeden, Roderick P. Venekamp
Format: Article
Language:English
Published: BMC 2023-12-01
Series:Diagnostic and Prognostic Research
Subjects:
Lower respiratory tract infection
Cardiovascular disease
Primary care
Electronic Health Record
Prognosis
Prediction model
Online Access:https://doi.org/10.1186/s41512-023-00161-1

Internet

https://doi.org/10.1186/s41512-023-00161-1

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