Algorithms for the Identification of Anthrax Meningitis During a Mass Casualty Event Based on a Systematic Review of Systemic Anthrax From 1880 Through 2018.

ABSTRACT:

Background

During an anthrax mass casualty event, prompt identification of patients with anthrax meningitis is important. Previous research has suggested use of a screening tool based on neurological symptoms and signs.

Methods

Using historical anthrax patient data from 1880 through 2018, we analyzed risk factors for meningitis. We developed lists of symptoms and signs (ie, algorithms) for predicting meningitis with high sensitivity and specificity. We evaluated both single and paired algorithms as screening tools.

Results

A single algorithm with 1 or more neurological symptoms or signs identifying patients with likely meningitis achieved high sensitivity (86%; 95% confidence interval [CI], 71%-100%) and specificity (90%; 95% CI, 82%-98%). Pairing algorithms with the

SUBMITTER: Binney S 

PROVIDER: S-EPMC9649431 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature