Simplified Criteria for Identification of Familial Hypercholesterolemia in Children: Application in Real Life.

Raffaele Buganza, Giulia Massini, M. D. Di Taranto, G. Cardiero, Luisa de Sanctis, O. Guardamagna
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Abstract

BACKGROUND The diagnosis of familial hypercholesterolemia (FH) in children is primarily based on main criteria including low-density lipoprotein cholesterol (LDL-C) levels, increased in the proband and relatives, and its inheritance. Two other relevant parameters are symptoms, rarely occurring in children, as rare are the FH homozygous patients, and the mutation detection of related genes. The latter allows the final diagnosis, although it is not commonly available. Moreover, the application of diagnostic scores, useful in adults, is poorly applied in children. The aim of this study was to compare the reliability of criteria here applied with different scores, apart from genetic analysis, for FH diagnosis. The latter was then confirmed by genetic analysis. METHODS n. 180 hypercholesterolemic children (age 10.2 ± 4.6 years) showing LDL-C levels ≥95th percentile (age- and sex-related), the dominant inheritance pattern of hypercholesterolemia (including LDL-C ≥95th percentile in one parent), were considered potentially affected by FH and included in the study. The molecular analysis of the LDLR, APOB and PCSK9 genes was applied to verify the diagnostic accuracy. Biochemical and family history data were also retrospectively categorized according to European Atherosclerosis Society (EAS), Simon Broome Register (SBR), Pediatric group of the Italian LIPIGEN (LIPIGEN-FH-PED) and Dutch Lipid Clinic Network (DLCN) criteria. Detailed kindred biochemical and clinical assessments were extended to three generations. The lipid profile was detected by standard laboratory kits, and gene analysis was performed by traditional sequencing or Next-Generation Sequencing (NGS). RESULTS Among 180 hypercholesterolemic subjects, FH suspected based on the above criteria, 164/180 had the diagnosis confirmed, showing causative mutations. The mutation detection rate (MDR) was 91.1%. The scoring criteria proposed by the EAS, SBR and LIPIGEN-FH-PED (resulting in high probable, possible-defined and probable-defined, respectively) showed high sensitivity (~90%), low specificity (~6%) and high MDR (~91%). It is noteworthy that their application, as a discriminant for the execution of the molecular investigation, would lead to a loss of 9.1%, 9.8% and 9.1%, respectively, of FH-affected patients, as confirmed by the genetic analysis. DLCN criteria, for which LDL-C cut-offs are not specific for childhood, would lead to a loss of 53% of patients with mutations. CONCLUSIONS In the pediatric population, the combination of LDL-C ≥95th percentile in the proband and the dominant inheritance pattern of hypercholesterolemia, with LDL-C ≥95th percentile in one parent, is a simple, useful and effective diagnostic criterion, showing high MDR. This pattern is crucial for early FH diagnosis. EAS, SBR and LIPIGEN-FH-PED criteria can underestimate the real number of patients with gene mutations and cannot be considered strictly discriminant for the execution of molecular analysis.
鉴定儿童家族性高胆固醇血症的简化标准:在现实生活中的应用。
背景儿童家族性高胆固醇血症(FH)的主要诊断标准包括低密度脂蛋白胆固醇(LDL-C)水平(在原型和亲属中均升高)及其遗传性。另外两个相关参数是症状和相关基因的突变检测,前者很少发生在儿童身上,因为 FH 基因同型患者也很少见。后者可用于最终诊断,但并不常见。此外,对成人有用的诊断评分在儿童中的应用并不理想。本研究的目的是比较除基因分析外,用不同评分标准诊断 FH 的可靠性。然后通过基因分析确认后者。180 名高胆固醇血症儿童(年龄为 10.2 ± 4.6 岁)显示 LDL-C 水平≥第 95 百分位数(与年龄和性别相关)、高胆固醇血症的显性遗传模式(包括父母一方的 LDL-C 水平≥第 95 百分位数),被认为可能受 FH 影响并纳入研究。对 LDLR、APOB 和 PCSK9 基因进行了分子分析,以验证诊断的准确性。此外,还根据欧洲动脉粥样硬化协会(EAS)、西蒙-布鲁姆登记册(SBR)、意大利 LIPIGEN 儿科组(LIPIGEN-FH-PED)和荷兰血脂诊疗网络(DLCN)的标准对生化和家族史数据进行了回顾性分类。详细的亲属生化和临床评估扩展到三代人。结果在 180 例根据上述标准怀疑为 FH 的高胆固醇血症受试者中,164/180 例确诊,显示出致病基因突变。突变检出率(MDR)为 91.1%。EAS、SBR和LIPIGEN-FH-PED提出的评分标准(分别得出高度可能、可能定义和可能定义)显示出高敏感性(约90%)、低特异性(约6%)和高MDR(约91%)。值得注意的是,将它们作为分子研究的判别标准,将分别导致 9.1%、9.8% 和 9.1%的 FH 受影响患者死亡,这一点已被基因分析所证实。结论 在儿童人群中,原告的 LDL-C ≥ 第 95 百分位数与高胆固醇血症的显性遗传模式(父母一方的 LDL-C ≥ 第 95 百分位数)相结合,是一种简单、有用且有效的诊断标准,显示出较高的 MDR。这种模式对于早期诊断 FH 至关重要。EAS、SBR 和 LIPIGEN-FH-PED 标准可能会低估基因突变患者的实际人数,不能被视为分子分析的严格判别标准。
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