Accuracy of Signs and Symptoms for the Diagnosis of Acute Rhinosinusitis and Acute Bacterial Rhinosinusitis.


Journal

Annals of family medicine
ISSN: 1544-1717
Titre abrégé: Ann Fam Med
Pays: United States
ID NLM: 101167762

Informations de publication

Date de publication:
03 2019
Historique:
received: 04 08 2018
revised: 22 11 2018
accepted: 13 12 2018
entrez: 13 3 2019
pubmed: 13 3 2019
medline: 11 4 2020
Statut: ppublish

Résumé

To evaluate the accuracy of signs and symptoms for the diagnosis of acute rhinosinusitis (ARS). We searched Medline to identify studies of outpatients with clinically suspected ARS and sufficient data reported to calculate the sensitivity and specificity. Of 1,649 studies initially identified, 17 met our inclusion criteria. Acute rhinosinusitis was diagnosed by any valid reference standard, whereas acute bacterial rhinosinusitis (ABRS) was diagnosed by purulence on antral puncture or positive bacterial culture. We used bivariate meta-analysis to calculate summary estimates of test accuracy. Among patients with clinically suspected ARS, the prevalence of imaging confirmed ARS is 51% and ABRS is 31%. Clinical findings that best rule in ARS are purulent secretions in the middle meatus (positive likelihood ratio [LR+] 3.2) and the overall clinical impression (LR+ 3.0). The findings that best rule out ARS are the overall clinical impression (negative likelihood ratio [LR-] 0.37), normal transillumination (LR- 0.55), the absence of preceding respiratory tract infection (LR- 0.48), any nasal discharge (LR- 0.49), and purulent nasal discharge (LR- 0.54). Based on limited data, the overall clinical impression (LR+ 3.8, LR- 0.34), cacosmia (fetid odor on the breath) (LR+ 4.3, LR- 0.86) and pain in the teeth (LR+ 2.0, LR- 0.77) are the best predictors of ABRS. While several clinical decision rules have been proposed, none have been prospectively validated. Among patients with clinically suspected ARS, only about one-third have ABRS. The overall clinical impression, cacosmia, and pain in the teeth are the best predictors of ABRS. Clinical decision rules, including those incorporating C-reactive protein, and use of urine dipsticks are promising, but require prospective validation.

Identifiants

pubmed: 30858261
pii: 17/2/164
doi: 10.1370/afm.2354
pmc: PMC6411403
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

164-172

Informations de copyright

© 2019 Annals of Family Medicine, Inc.

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Auteurs

Mark H Ebell (MH)

Department of Epidemiology and Biostatistics, College of Public Health, the University of Georgia, Athens, Georgia ebell@uga.edu.

Brian McKay (B)

Department of Epidemiology and Biostatistics, College of Public Health, the University of Georgia, Athens, Georgia.

Ariella Dale (A)

Department of Epidemiology and Biostatistics, College of Public Health, the University of Georgia, Athens, Georgia.

Ryan Guilbault (R)

Department of Epidemiology and Biostatistics, College of Public Health, the University of Georgia, Athens, Georgia.

Yokabed Ermias (Y)

Department of Epidemiology and Biostatistics, College of Public Health, the University of Georgia, Athens, Georgia.

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