Summary

Models to predict bacteremia in the emergency department: a systematic review

Agustín Julián-Jiménez1, Darío Eduardo García2, Luis García de Guadiana-Romualdo3, Graciela Merinos-Sánchez4, Francisco Javier Candel González5


Affiliation of the authors

1Servicio de Urgencias, Complejo Hospitalario Universitario de Toledo, Universidad de Castilla La Mancha, Toledo, Spain. 2Hospital de Alta Complejidad El Cruce, Florencio Varela, Buenos Aires, Argentina. 3Servicio de Análisis Clínicos, Hospital General Universitario Santa Lucía, Cartagena, Murcia, Spain. 4Servicio de Urgencias, Hospital General de México ¨Dr. Eduardo Liceaga”, Ciudad de México, México. 5Servicio de Microbiología Clínica, Hospital Universitario Clínico San Carlos, IDISSC, Madrid, Spain.

DOI

Quote

Julián-Jiménez A, García DE, García de Guadiana-Romualdo L, Merinos-Sánchez G, Candel González FJ. Models to predict bacteremia in the emergency department: a systematic review. Emergencias. 2024;36:48-62

Summary

Objective.

Blood cultures are ordered in emergency departments for 15% of patients with suspected infection. The diagnostic yield varies from 2% to 20%. Thirty-day mortality in patients with bacteremia is high, doubling or tripling the rate in patients with the same infection but without bacteremia. Thus, finding an effective model to predict bacteremia that is applicable in emergency departments is an important goal. Shapiro’s model is the one traditionally used as a reference internationally. The aim of this systematic review was to compare the predictive power of bacteremia risk models published since 2008, when Shapiro’s model first appeared.

Methods.

We followed the recommendations of the Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) statement, searching in the following databases for articles published between January 2008 and May 31, 2023: PubMed, Web of Science, EMBASE, Lilacs, Cochrane, Epistemonikos, Trip Medical Database, and ClinicalTrials.gov. No language restrictions were specified. The search terms were the following Medical Subject Headings: bacteremia/bacteraemia/blood stream infection, prediction model/clinical prediction rule/risk prediction model, emergencies/emergency/emergency department, and adults. Observational cohort studies analyzing diagnostic yield were included; case-control studies, narrative reviews, and other types of articles were
excluded. The Newcastle-Ottawa Scale was used to score quality and risk of bias in the included studies. The results were compared descriptively, without meta-analysis. The protocol was included in the PROSPERO register (CRD42023426327).

Results.

Twenty studies out of a total of 917 were found to meet the inclusion criteria. The included studies together analyzed 33 182 blood cultures, which detected 5074 cases of bacteremia (15.3%). Eleven studies were of high quality, 7 of moderate quality, and 2 of low quality. The area under the receiver operating characteristic curve (AUC) of Shapiro’s model varied from 0.71 to 0.83. Sensitivity was as high as 98%, and specificity ranged from 26% to 69%. Three models with high scores for quality were also supported by both internal and external validation studies: Lee’s model (AUC, 0.81; sensitivity 68%; specificity, 81%), the 5MPB-Toledo model (AUC, 0.906 to 0.946), and the MPB-INFURG-SEMES model (AUC, 0.924; sensitivity, 97%; specificity, 76%.

Conclusions.

The 5MPB-Toledo and MPB-INFURG-SEMES are useful for assessing the true risk of bacteremia in patients attended in emergency departments

 

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