Evidence map›Paper›PMID 40017868›Full record

ArticleBMJ public health2023

Modelling a two-stage adult population screen for autosomal dominant familial hypercholesterolaemia: cross-sectional analysis within the UK Biobank.

Jasmine Gratton, Steve E Humphries, Amand Floriaan Schmidt, Riyaz S Patel, Reecha Sofat, Chris Finan, Joan K Morris, Aroon D Hingorani, Marta Futema

Abstract read
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Article in BMJ public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jasmine GrattonInstitute of Cardiovascular Science, University College London, London, UK.ORCID 0000-0002-9781-9762
Steve E HumphriesInstitute of Cardiovascular Science, University College London, London, UK.
Amand Floriaan SchmidtInstitute of Cardiovascular Science, University College London, London, UK.
Riyaz S PatelInstitute of Cardiovascular Science, University College London, London, UK.ORCID 0000-0003-4603-2393
Reecha SofatDepartment of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Chris FinanInstitute of Cardiovascular Science, University College London, London, UK.
Joan K MorrisPopulation Health Research Institute, St George's University of London, London, UK.ORCID 0000-0002-7164-612X
Aroon D Hingorani *Institute of Cardiovascular Science, University College London, London, UK.
Marta Futema *Cardiology Research Centre, Molecular and Clinical Science Institute, St George's University of London, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Most people with autosomal dominant familial hypercholesterolaemia (FH) remain undetected, which represents a missed opportunity for coronary heart disease prevention. Objective: To evaluate the performance of two-stage adult population screening for FH. Design: Using data from UK Biobank, we estimated the screening performance of different low-density lipoprotein cholesterol (LDL-C) cut-offs (stage 1) to select adults for DNA sequencing (stage 2) to identify individuals with FH-causing variants in Setting: UK Biobank. Participants: 140 439 unrelated participants of European ancestry from UK Biobank with information on circulating LDL-C concentration and exome sequence. Main outcome measures: For different LDL-C cut-offs, we estimated the detection and false-positive rate, the proportion of individuals who would be referred for DNA sequencing (stage 1 screen positive rate), and the number of FH cases identified by population screening followed by cascade testing. Results: We identified 488 individuals with an FH-causing variant and 139 951 without (prevalence 1 in 288). An LDL-C cut-off of >4.8 mmol/L had a stage 1 detection rate (sensitivity) of 40% (95% CI 36 to 44%) for a false-positive rate of 10% (95% CI 10 to 11%). Detection rate increased at lower LDL-C cut-offs but at the expense of higher false-positive and screen positive rates, and vice versa. Two-stage screening of 100 000 adults using an LDL-C cut-off of 4.8 mmol/L would generate 10 398 stage 1 screen positives for sequencing, detect 138 FH cases and miss 209. Up to 207 additional cases could be detected through Conclusions: Two-stage adult population screening for FH could help achieve the 25% FH case detection target set in the National Health Service Long Term Plan, but less efficiently than childhood screening and with a greater sequencing requirement.

Indexed as

Preventive MedicinePrimary PreventionPublic Health

Identifiers

PMID40017868
PMCPMC11812690

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