Risk Factors for Acute Rheumatic Fever: Literature Review and Protocol for a Case-Control Study in New Zealand.
Michael G BakerJason GurneyJane OliverNicole J MorelandDeborah A WilliamsonNevil PierseNigel WilsonTony Raymond MerrimanTeuila PercivalColleen MurrayCatherine JacksonRichard EdwardsLyndie Foster PageFlorina Chan MowAngela ChongBarry GribbenDiana LennonPublished in: International journal of environmental research and public health (2019)
Acute rheumatic fever (ARF) and its sequela, rheumatic heart disease (RHD), have largely disappeared from high-income countries. However, in New Zealand (NZ), rates remain unacceptably high in indigenous Māori and Pacific populations. The goal of this study is to identify potentially modifiable risk factors for ARF to support effective disease prevention policies and programmes. A case-control design is used. Cases are those meeting the standard NZ case-definition for ARF, recruited within four weeks of hospitalisation for a first episode of ARF, aged less than 20 years, and residing in the North Island of NZ. This study aims to recruit at least 120 cases and 360 controls matched by age, ethnicity, gender, deprivation, district, and time period. For data collection, a comprehensive pre-tested questionnaire focussed on exposures during the four weeks prior to illness or interview will be used. Linked data include previous hospitalisations, dental records, and school characteristics. Specimen collection includes a throat swab (Group A Streptococcus), a nasal swab (Staphylococcus aureus), blood (vitamin D, ferritin, DNA for genetic testing, immune-profiling), and head hair (nicotine). A major strength of this study is its comprehensive focus covering organism, host and environmental factors. Having closely matched controls enables the examination of a wide range of specific environmental risk factors.
Keyphrases
- respiratory failure
- mechanical ventilation
- risk factors
- staphylococcus aureus
- rheumatoid arthritis
- randomized controlled trial
- mental health
- public health
- big data
- pseudomonas aeruginosa
- case control
- climate change
- drug induced
- liver failure
- oral health
- deep learning
- tertiary care
- single molecule
- smoking cessation
- candida albicans
- gestational age
- high school
- optical coherence tomography
- aortic dissection