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Scoring systems for prediction of malaria and dengue fever in non-endemic areas among travellers arriving from tropical and subtropical areas.
Satarvandi, Donya; van der Werff, Suzanne Desirée; Nauclér, Pontus; Hildenwall, Helena; Sondén, Klara.
Afiliación
  • Satarvandi D; Karolinska University Hospital, Stockholm, Sweden donya.satarvandi@ki.se.
  • van der Werff SD; Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden.
  • Nauclér P; Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden.
  • Hildenwall H; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
  • Sondén K; Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden.
Emerg Med J ; 41(4): 242-248, 2024 Mar 21.
Article en En | MEDLINE | ID: mdl-38355290
ABSTRACT

BACKGROUND:

Fever is a common symptom among travellers returning from tropical/subtropical areas to Europe, and promptly distinguishing severe illnesses from self-limiting febrile syndromes is important but can be challenging due to non-specific clinical presentation.

METHODS:

A cross-sectional study enrolled adults and children who sought care during 2015-2020 at Karolinska University Hospital, Stockholm, Sweden with fever within 2 months after returning from travel to a tropical/subtropical area. Data on symptoms and laboratory parameters were prospectively and retrospectively collected. Two separate scoring systems for malaria and dengue were developed based on backward elimination regressions.

RESULTS:

In total, 2113 adults (18-94 years) and 202 children (1-17 years) were included, with 112 (4.8%) confirmed malaria by blood thick smear and 90 (3.9%) PCR/serology dengue-positive cases. Malaria was more likely in a patient who had visited sub-Saharan Africa and presented with combination of thrombocytopenia, anaemia and fever ≥39.5°C. Leucopenia, muscle pain and rash after travelling to Asia or South/Latin America indicated high probability of dengue. Two scoring systems with points between 0 and 7 for prediction of malaria or dengue were created based on the above predictors. Scores ≥3 indicated >80% sensitivity and specificity for malaria and >90% specificity for dengue in children and adults (area under the curve (AUC) for dengue 0.92 in adults (95% CI 0.90 to 0.95) and 0.95 in children (95% CI 0.88 to 1.0); AUC for malaria 0.93 in adults (95% CI 0.91 to 0.96) and 0.88 in children (95% CI 0.78 to 0.99)). Internal validation of optimism and overfitting was managed with bootstrap.

CONCLUSION:

The presented scoring systems provide novel tools for structured assessment of patients with tropical fever in a non-endemic area and highlight clinical signs associated with a potential severe aetiology to direct the need for microbial investigation.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Dengue / Malaria Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Child / Humans Idioma: En Revista: Emerg Med J Asunto de la revista: MEDICINA DE EMERGENCIA Año: 2024 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Dengue / Malaria Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Child / Humans Idioma: En Revista: Emerg Med J Asunto de la revista: MEDICINA DE EMERGENCIA Año: 2024 Tipo del documento: Article País de afiliación: Suecia