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  • Development and Validation of Screening Methods Applied to Familial Hypercholesterolemia Diagnosis
    Publication . Albuquerque, João; Antunes, Marília; Antunes, Marília; Bourbon, Mafalda; Soares, Raquel
    Familial hypercholesterolemia (FH) is an inherited disorder of lipid metabolism, characterized by increased low density lipoprotein cholesterol (LDLc) levels. If untreated, the severe dyslipidemia from birth leads to the early development of atherosclerosis, representing a major risk factor for cardiovascular disease (CVD). The early diagnosis of FH is associated with a signi cant reduction in CVD risk, supporting the introduction of risk mitigation strategies, such as cascade screening of rst degree relatives, and adequate lipid lowering therapy (LLT) as precociously as possible. The importance of genetic testing is emphasized by evidence that individuals with a con rmed pathogenic variant possess a signi cant increase in the risk of CVD when compared to subjects with FH-like phenotype for whom a causative variant is not detected. Nevertheless, molecular testing is still not available as a rst line diagnosis tool, and previous selection and strati cation of subjects to undergo this procedure should be made. Currently used clinical criteria, typically based on LDLc levels, family history of hypercholesterolemia and/ or premature CVD and presence of physical signs like tendon xanthomas, present the limitation of retaining a high number of false positive cases. This may constitute a heavy burden in terms of healthcare costs, and limits the access to the genetic study of a larger universe of true FH cases. The main purpose of this work was to develop alternative classi cation methods for FH diagnosis, based on di erent biochemical and clinical indicators, with improved ability to screen for FH cases in comparison to traditional clinical criteria. The metrics used for comparison range from the areas under the receiver operating characteristics (AUROC) and precision-recall (AUPRC) curves, to several operating characteristics (OC), to agreement tests, among others
    2023-07-11Doctoral thesis Restricted access Show more