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Long-term sequelae of chikungunya virus disease: A systematic review

Journal

TRAVEL MEDICINE AND INFECTIOUS DISEASE
Volume 15, Issue -, Pages 8-22

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.tmaid.2017.01.004

Keywords

Chikungunya; Congenital chikungunya; Long-term sequelae; Arthralgia; Depression S; ystematic review

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Background: The acute phase of chikungunya is well documented; less so are its long-term effects. This systematic literature review provides an overview of the currently available data. Methods: We performed an electronic search in PubMed/Medline and checked reference lists. We included studies in English on long-term sequelae of chikungunya in adults and on long-term sequelae of congenital infection from 2000 to 2016. Case reports, reviews and studies with a follow-up shorter than 6 weeks were excluded. Results: In total, 37 studies were included; with follow-up periods ranging from 1.5 to 72 months. Most studies were questionnaire-based studies only, in which clinical diagnoses such as arthritis, alopecia and depression were mostly recorded without professional verification. Persisting arthralgia/arthritis (arthralgia/joint stiffness plus joint swelling) was the most frequent problem encountered. Further frequently mentioned sequelae were alopecia and depression. Quality of life was reduced in many for months to years after the acute phase of chikungunya. Female gender, older age, some co-morbidities and the severity of the acute phase were associated with persistent arthralgia. Congenital infection was associated with neurocognitive dysfunctioning in early childhood. Conclusion: Chikungunya leads to (self-perceived) long-term sequelae in a considerable proportion of patients, impacting significantly on quality of life. Long-term chikungunya sequelae must be taken into account when dealing with this disease because of its important effect on public and individual health. Prospective large-scale, long-term studies with objective assessment of signs and symptoms attributed to the disease are needed to optimally quantify and qualify these problems. (C) 2017 Elsevier Ltd. All rights reserved.

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