1. Clinical Diagnosis of Chikungunya Infection: An Essential Aid in a Primary Care Setting Where Serological Confirmation Is Not Available
- Author
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Juan C. Rueda, Ingris Peláez-Ballestas, Jose-Ignacio Angarita, Ana M. Santos, Carlos Pinzon, Eugenia-Lucia Saldarriaga, Jorge M. Rueda, Elias Forero, Diego L. Saaibi, Paula X. Pavía, Marta Juliana Mantilla, Gustavo Rodríguez-Salas, Juan Camilo Santacruz, Igor Rueda, Mario H. Cardiel, and John Londono
- Subjects
Chikungunya virus ,diagnosis ,arbovirus infections ,clinical decision making ,Colombia ,Medicine - Abstract
Background: Chikungunya virus (CHIKV) diagnosis has become a challenge for primary care physicians in areas where the Zika virus and/or Dengue virus are present. Case definitions for the three arboviral infections overlap. 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 a 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 created 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 for identifying 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.
- Published
- 2023
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