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Research

Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study

Ralph K Akyea, Nadeem Qureshi, Joe Kai, Simon de Lusignan, Julian Sherlock, Christopher McGee and Stephen Weng
BJGP Open 2020; 4 (5): bjgpopen20X101114. DOI: https://doi.org/10.3399/bjgpopen20X101114
Ralph K Akyea
1Primary Care Stratified Medicine (PRISM), Division of Primary Care, University of Nottingham, Nottingham, UK
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  • ORCID record for Ralph K Akyea
Nadeem Qureshi
1Primary Care Stratified Medicine (PRISM), Division of Primary Care, University of Nottingham, Nottingham, UK
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Joe Kai
1Primary Care Stratified Medicine (PRISM), Division of Primary Care, University of Nottingham, Nottingham, UK
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  • ORCID record for Joe Kai
Simon de Lusignan
2Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
3Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Julian Sherlock
2Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
3Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Christopher McGee
2Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
4Department of Clincial and Experimental Medicine, University of Surrey, Guildford, UK
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Stephen Weng
1Primary Care Stratified Medicine (PRISM), Division of Primary Care, University of Nottingham, Nottingham, UK
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  • For correspondence: Stephen.Weng{at}evda.co.uk
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    Figure 1. Receiver operating curves derived from the external validation cohort (n = 1 030 183) for models of identifying familial hypercholesterolaemia in general practice (FAMCAT discrimination compared with recommended diagnostic criteria). Higher area under the curve (c-statistic) confers better discrimination
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    Figure 2. FAMCAT model calibration of observed versus predicted cases of familial hypercholesterolaemia in the external validation cohort by deciles of predicted probability
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    Figure 3. Calibration of observed versus predicted cases of familial hypercholesterolaemia (FH) in the external validation cohort by deciles of predicted probability using the optimised FAMCAT model

Tables

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    Table 1. Clinical characteristics for the cohort of patients aged >16 years
    MenWomen
    Characteristics
    Total sample size, n (%)493 400 (47.9)536 783 (52.1)
    Diagnosed with familial hypercholesterolaemia, n (%)649 (0.13)1058 (0.2)
    Baseline age, years (SD)56 (15.3)57 (16.7)
    History of coronary heart disease <60 years, n (%)15 232 (3.1)8203 (1.5)
    Ethnic group, n (%)
     White319 439 (64.7)358 612 (66.8)
     Asian26 916 (5.5)27 749 (5.2)
     Black14 181 (2.9)17 484 (3.3)
     Mixed3662 (0.7)4465 (0.8)
     Other4151 (0.8)4254 (0.8)
     Unknown125 051 (25.3)124 219 (23.1)
    Lipid profile, mmol/l (SD)
     Highest TC recorded5.6 (1.2)5.8 (1.3)
     High LDL cholesterol recorded3.4 (1.0)3.5 (1.1)
     Triglycerides during cholesterol measurement1.6 (1.0)1.4 (0.8)
    Lipid-lowering drug usage at time of cholesterol measurement, n (%)
     Prescribed fibrate, bile acid sequestrant, nicotinic acid1158 (0.2)1491 (0.3)
     Prescribed low-potency statin6174 (1.3)5521 (1.0)
     Prescribed medium-potency statin45 510 (9.2)38 948 (7.3)
     Prescribed high-potency statin21 860 (4.4)17 183 (3.2)
    Family history, n (%)
     Family history of FH1136 (0.2)1851 (0.3)
     Family history of raised cholesterol6698 (1.4)10 144 (1.9)
     Family history of myocardial infarction28 213 (5.7)36 175 (6.7)
    Secondary causes of high cholesterol at time of cholesterol measurement, n (%)
     Diagnosed with diabetes84 490 (17.1)68 978 (12.9)
     Diagnosed with chronic kidney disease53 866 (10.9)71 332 (13.3)
    • Asian includes Indian, Pakistani, Bangladeshi, Chinese, and other Asians. Values are numbers and proportions unless stated otherwise

    • FH
      familial hypercholesterolaemia
      LDL
      low-density lipoprotein
      SD
      standard deviation
      TC
      total cholesterol
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    Table 2. Model discrimination in the external validation cohort for identifying familial hypercholesterolaemia in general practice (n = 1 030 183)
    ModelsAUC(c-statistic)Standard errora95% CI
    FAMCAT0.8440.0050.834 to 0.854
    Simon Broome criteriab0.7300.0060.719 to 0.741
    Dutch Lipid Clinic Network criteriac0.7660.0060.755 to 0.778
    Cholesterol >99th centiled0.5790.0050.571 to 0.588
    • aJack-knife procedure to estimate standard errors.20bTotal cholesterol >7.5 mmol/l or LDL-cholesterol >4.9 mmol/l+ family history of premature myocardial infarction.2cScore based on LDL-cholesterol, family history, clinical history, and physical examination.9dThe UK National Institute for Health and Care Excellence recommendation of screening for FH for cholesterol >99th centile. That is, total cholesterol >9.0 mmol/l or LDL-cholesterol >6.6 mmol/l if aged >30 years; total cholesterol >7.5 mmol/l or LDL-cholesterol >4.9 mmol/l if aged ≤30 years.2

Supplementary Data

SUPPLEMENTARY MATERIALS

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    Supplementary material is not copyedited or typeset, and is published as supplied by the author(s). The author(s) retain(s) responsibility for its accuracy.

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Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study
Ralph K Akyea, Nadeem Qureshi, Joe Kai, Simon de Lusignan, Julian Sherlock, Christopher McGee, Stephen Weng
BJGP Open 2020; 4 (5): bjgpopen20X101114. DOI: 10.3399/bjgpopen20X101114

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Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study
Ralph K Akyea, Nadeem Qureshi, Joe Kai, Simon de Lusignan, Julian Sherlock, Christopher McGee, Stephen Weng
BJGP Open 2020; 4 (5): bjgpopen20X101114. DOI: 10.3399/bjgpopen20X101114
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Keywords

  • familial hypercholesterolaemia
  • case-finding
  • FAMCAT
  • validation
  • primary health care
  • general practice
  • lipid metabolism disorders

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  • A systematic review of the perspectives of adults with type 2 diabetes mellitus or prediabetes on behavioural weight management
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