Abstract

Abstract Background Dengue fever is a prominent emerging arboviral infection in the tropics and subtropics, and an important cause of systemic febrile illness among some international travelers. Signs and symptoms are similar to more common infectious illnesses in temperate climates, and dengue may not be promptly considered when patients seek evaluation. Methods We conducted a retrospective cohort study of patients diagnosed with dengue fever using the IBM MarketScan Research database from 2001-2017. We identified cases of dengue fever where patients were enrolled ≥ 1 year prior to the index diagnosis. All healthcare visits in the year prior to the index diagnosis were collected and we identified visits with signs/symptoms compatible with dengue or a diagnosis made of an illness with similar symptoms (e.g., influenza) before the index dengue diagnosis. We used a time-series change-point analysis to identify the time before diagnosis in which symptoms of dengue became more prominent. We conducted a bootstrap-based simulation analysis to estimate the duration and frequency of missed diagnostic opportunities. Results We identified 4,449 cases of dengue fever that met eligibility criteria. We found that 2,791 (62.7%) had ≥ 1 healthcare visit(s) prior to diagnosis with characteristic symptoms of dengue recorded. Our simulations analysis supports that 32.9% (95% CI: 31.1-35.0) experienced 1 or more missed opportunities for diagnosis. Among these patients, the average duration of diagnostic delay was 8.26 (CI: 6.32-11.38) days and ~21% of patients had a diagnostic delay of 2 or more weeks. Patients with a delayed diagnosis averaged 2.2 (CI 2.11-2.29) healthcare visits which represented missed opportunities. Missed opportunities were more likely during weekend, ED or outpatient visits. Conclusion Dengue fever is not considered in the majority of patients at the time of the initial symptomatic evaluation in the U.S., indicating delays in diagnosis are common. Enhanced education of providers about dengue fever could lead to more prompt diagnosis that should help optimize patient management. Disclosures All Authors: No reported disclosures

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