Dick C Chan1, Jing Pang1, Amanda J Hooper1,2, Damon A Bell1,2,3, Timothy R Bates1,4, John R Burnett1,2,3, Gerald F Watts1,3. 1. School of Medicine, University of Western Australia, Perth, Western Australia, Australia. 2. Department of Clinical Biochemistry, PathWest Laboratory Medicine, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia. 3. Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia. 4. St. John of God Midland Public and Private Hospitals, Midland, Western Australia, Australia.
Abstract
Context: The gold standard for diagnosing familial hypercholesterolemia (FH) is identification of a causative pathogenic mutation. However, genetic testing is expensive and not widely available. Objective: To compare the validity of the Dutch Lipid Clinic Network (DLCN), Simon Broome (SB), Make Early Diagnosis to Prevent Early Deaths (MEDPED), and American Heart Association (AHA) criteria in predicting an FH-causing mutation. Design, Setting, and Patients: An adult cohort of unrelated patients referred to a lipid clinic for genetic testing. Main Outcome Measures: Odds ratio (OR), area under the curve (AUC), sensitivity, and specificity. Results: A pathogenic FH-causing mutation was detected in 30% of 885 patients tested. Elevated low-density lipoprotein (LDL) cholesterol and personal or family history of tendon xanthomata were independent predictors of a mutation (OR range 5.3 to 16.1, P < 0.001). Prediction of a mutation for the DLCN and SB definite and MEDPED criteria (ORs 9.4, 11.7, and 10.5, respectively) was higher than with the AHA criteria (OR 4.67). The balance of sensitivity and specificity was in decreasing order DLCN definite (Youden Index 0.487), MEDPED (0.457), SB definite (0.274), and AHA criteria (0.253), AUC being significantly higher with DLCN definite and MEDPED than other criteria (P < 0.05). Pretreatment LDL cholesterol and tendon xanthomata had the highest AUC in predicting a mutation. Conclusions: The DLCN, SB, and MEDPED criteria are valid predictors of an FH-causing mutation in patients referred to a lipid clinic, but concordance between these phenotypic criteria is only moderate. Use of pretreatment LDL cholesterol and tendon xanthomata alone may be particularly useful for deciding who should be genetically tested for FH.
Context: The gold standard for diagnosing familial hypercholesterolemia (FH) is identification of a causative pathogenic mutation. However, genetic testing is expensive and not widely available. Objective: To compare the validity of the Dutch Lipid Clinic Network (DLCN), Simon Broome (SB), Make Early Diagnosis to Prevent Early Deaths (MEDPED), and American Heart Association (AHA) criteria in predicting an FH-causing mutation. Design, Setting, and Patients: An adult cohort of unrelated patients referred to a lipid clinic for genetic testing. Main Outcome Measures: Odds ratio (OR), area under the curve (AUC), sensitivity, and specificity. Results: A pathogenic FH-causing mutation was detected in 30% of 885 patients tested. Elevated low-density lipoprotein (LDL) cholesterol and personal or family history of tendon xanthomata were independent predictors of a mutation (OR range 5.3 to 16.1, P < 0.001). Prediction of a mutation for the DLCN and SB definite and MEDPED criteria (ORs 9.4, 11.7, and 10.5, respectively) was higher than with the AHA criteria (OR 4.67). The balance of sensitivity and specificity was in decreasing order DLCN definite (Youden Index 0.487), MEDPED (0.457), SB definite (0.274), and AHA criteria (0.253), AUC being significantly higher with DLCN definite and MEDPED than other criteria (P < 0.05). Pretreatment LDL cholesterol and tendon xanthomata had the highest AUC in predicting a mutation. Conclusions: The DLCN, SB, and MEDPED criteria are valid predictors of an FH-causing mutation in patients referred to a lipid clinic, but concordance between these phenotypic criteria is only moderate. Use of pretreatment LDL cholesterol and tendon xanthomata alone may be particularly useful for deciding who should be genetically tested for FH.
Authors: Gerald F Watts; Samuel S Gidding; Pedro Mata; Jing Pang; David R Sullivan; Shizuya Yamashita; Frederick J Raal; Raul D Santos; Kausik K Ray Journal: Nat Rev Cardiol Date: 2020-01-23 Impact factor: 32.419
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Authors: Ari E Horton; Andrew C Martin; Shubha Srinivasan; Robert N Justo; Nicola K Poplawski; David Sullivan; Tom Brett; Clara K Chow; Stephen J Nicholls; Jing Pang; Gerald F Watts Journal: J Paediatr Child Health Date: 2022-07-15 Impact factor: 1.929
Authors: Alexey N Meshkov; Alexandra I Ershova; Anna V Kiseleva; Svetlana A Shalnova; Oxana M Drapkina; Sergey A Boytsov Journal: J Pers Med Date: 2021-05-24
Authors: Ralph K Akyea; Nadeem Qureshi; Joe Kai; Simon de Lusignan; Julian Sherlock; Christopher McGee; Stephen Weng Journal: BJGP Open Date: 2020-12-15