Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Clinical Diagnosis for Chikungunya Infection: An Essential Aid in a Primary Care Setting Where Serological Confirmation Is Not Available

Version 1 : Received: 28 February 2023 / Approved: 6 March 2023 / Online: 6 March 2023 (15:17:22 CET)

A peer-reviewed article of this Preprint also exists.

Rueda, J.C.; Peláez-Ballestas, I.; Angarita, J.-I.; Santos, A.M.; Pinzon, C.; Saldarriaga, E.-L.; Rueda, J.M.; Forero, E.; Saaibi, D.L.; Pavía, P.X.; Mantilla, M.J.; Rodríguez-Salas, G.; Santacruz, J.C.; Rueda, I.; Cardiel, M.H.; Londono, J. Clinical Diagnosis of Chikungunya Infection: An Essential Aid in a Primary Care Setting Where Serological Confirmation Is Not Available. Trop. Med. Infect. Dis. 2023, 8, 213. Rueda, J.C.; Peláez-Ballestas, I.; Angarita, J.-I.; Santos, A.M.; Pinzon, C.; Saldarriaga, E.-L.; Rueda, J.M.; Forero, E.; Saaibi, D.L.; Pavía, P.X.; Mantilla, M.J.; Rodríguez-Salas, G.; Santacruz, J.C.; Rueda, I.; Cardiel, M.H.; Londono, J. Clinical Diagnosis of Chikungunya Infection: An Essential Aid in a Primary Care Setting Where Serological Confirmation Is Not Available. Trop. Med. Infect. Dis. 2023, 8, 213.

Abstract

Background: Chikungunya virus (CHIKV) diagnosis have become a challenge for primary care physicians in areas where zika virus and/or dengue virus are present. Case definitions for the three arboviral infections are overlapping. Methods: A cross-sectional analysis was carried out. A bivariate analysis was made using confirmed CHIKV infection as the outcome. Variables with significant statistical association were included in an agreement consensus. Agreed variables were analyzed in multiple regression model. The area under the receiver operating characteristic (ROC) curve was calculated to determine a cut-off value and performance. Results: 295 patients with confirmed CHIKV infection were included. A screening tool was made using symmetric arthritis (4 points), fatigue (3 points), rash (2 points) and ankle joint pain (1 point). The ROC curve identified a cut-off value and a score ≥ 5.5 was considered positive to identify CHIKV patients with a sensibility of 64.4% and a specificity of 87.4%, positive predictive value of 85.5%, negative predictive value of 67.7%, area under the curve of 0.72, and an accuracy of 75%. Conclusion: We developed a screening tool for CHIKV diagnosis using only clinical symptoms as well as proposed an algorithm to aid the primary care physician.

Keywords

Chikungunya virus; diagnosis; arbovirus infections; clinical decision making; Colombia

Subject

Biology and Life Sciences, Virology

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.