Equidae pythiosis in Brazil and the world: a systematic review of the last 63 years (1960-2023).
Daniela Isabel Brayer PereiraSônia de Avila BottonLara Baccarin IaniskiCaroline Quintana BragaAline Fontanella MacielLuíze Garcia MeloCristina Gomes ZambranoFábio Raphael Pascoti BruhnJanio Morais SanturioPublished in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2024)
This systematic review compiles reports of clinical pythiosis in horses, mules and donkeys from 1960 to 2023 worldwide, focusing on Brazil. We searched databases and included 71 articles detailing clinical characteristics, geographic distribution, epidemiology, diagnostic methods, therapies, and outcomes. The results showed that publications on equine pythiosis have significantly increased since 2010. Brazil reported the highest incidence, comprising 55% of cases, predominantly in the southern, northeastern, and central-western regions during summer and autumn. Cutaneous pythiosis was the most prevalent form, generally presenting as single lesions in the appendicular region, and affected females more than males. Diagnosis typically involved histopathology, used alone or with other methods. Various treatments have been employed, with surgery, often combined with chemotherapy and immunotherapy, being the most common. Notably, 80.84% of treated animals recovered, highlighting the effectiveness of these therapies in enhancing survival rates. The limitations of the study included the lack of data in published case reports, which made it difficult to collect and calculate epidemiological data. Additionally, we recognize that pythiosis in Brazil is underreported, since this disease does not have mandatory notification and several cases are not registered and/or reported in the literature. Lastly, it is hypothesized that equid pythiosis may be more widespread than currently known, and its real occurrence in Brazil remains uncertain.
Keyphrases
- systematic review
- risk factors
- meta analyses
- electronic health record
- minimally invasive
- randomized controlled trial
- big data
- risk assessment
- south africa
- type diabetes
- machine learning
- squamous cell carcinoma
- metabolic syndrome
- acute coronary syndrome
- heat stress
- coronary artery bypass
- atrial fibrillation
- percutaneous coronary intervention
- weight loss
- deep learning