Development and Performance of Dengue Diagnostic Clinical Algorithms in Colombia.

ABSTRACT: Diagnosing dengue in endemic areas remains problematic because of the low specificity of the symptoms and lack of accurate diagnostic tests. This study aimed to develop and prospectively validate, under routine care, dengue diagnostic clinical algorithms. The study was carried out in two phases. First, diagnostic algorithms were developed using a database of 1,130 dengue and 918 non-dengue patients, expert opinion, and literature review. Algorithms with > 70% sensitivity were prospectively validated in a single-group quasi-experimental trial with an adaptive Bayesian design. In the first phase, the algorithms that were developed with the continuous Bayes formula and included leukocytes and platelet counts, in addition to selected signs and symptoms, showed the highest sensitivities (> 80%)

SUBMITTER: Caicedo-Borrero DM 

PROVIDER: S-EPMC7253082 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature