Systematic Identification of Familial Hypercholesterolaemia in Primary Care-A Systematic Review.
Luisa SilvaNadeem QureshiHasidah Abdul-HamidStephen F WengJoe KaiJo Leonardi-BeePublished in: Journal of personalized medicine (2021)
Familial hypercholesterolaemia (FH) is a common inherited cause of premature cardiovascular disease, but the majority of patients remain undiagnosed. The aim of this systematic review was to assess the effectiveness of interventions to systematically identify FH in primary care. No randomised, controlled studies were identified; however, three non-randomised intervention studies were eligible for inclusion. All three studies systematically identified FH using reminders (on-screen prompts) in electronic health records. There was insufficient evidence that providing comments on laboratory test results increased the identification of FH using the Dutch Lipid Clinic Network (DLCN) criteria. Similarly, using prompts combined with postal invitation demonstrated no significant increase in definite FH identification using Simon-Broome (SB) criteria; however, the identification of possible FH increased by 25.4% (CI 17.75 to 33.97%). Using on-screen prompts alone demonstrated a small increase of 0.05% (95% CI 0.03 to 0.07%) in identifying definite FH using SB criteria; however, when the intervention was combined with an outreach FH nurse assessment, the result was no significant increase in FH identification using a combination of SB and DLCN criteria. None of the included studies reported adverse effects associated with the interventions. Currently, there is insufficient evidence to determine which is the most effective method of systematically identifying FH in non-specialist settings.
Keyphrases
- primary care
- systematic review
- cardiovascular disease
- randomized controlled trial
- electronic health record
- bioinformatics analysis
- end stage renal disease
- physical activity
- clinical trial
- chronic kidney disease
- case control
- study protocol
- ejection fraction
- early onset
- type diabetes
- high throughput
- newly diagnosed
- meta analyses
- palliative care
- coronary artery disease
- clinical decision support
- general practice
- cardiovascular events
- single cell
- placebo controlled