A strategy to increase identification of patients with Familial Hypercholesterolemia: Application of the Simon Broome lipid criteria in a large-scale retrospective analysis

提高家族性高胆固醇血症患者识别率的策略:Simon Broome 脂质标准在大规模回顾性分析中的应用

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作者:James K Fleming, Renee M Sullivan, David Alfego, Natalia T Leach, Tamara J Richman, Jill Rafalko

Conclusion

A laboratory-developed algorithm using Simon Broome lipid criteria can help identify patients who may benefit from additional FH evaluation. While critical, testing hyperlipidemic children for FH is grossly underutilized, as is genetic testing for FH. Diagnostic laboratories are uniquely positioned to bring FH to the attention of clinicians, with the goal of earlier diagnosis, cascade testing, and appropriate treatment.

Methods

All lipid tests for total cholesterol (TC) and LDL-c ordered through a large nation-wide network of medical laboratories in the United States (US) from 2018 - 2022 were retrospectively evaluated using a decision tree algorithm based on Simon Broome lipid criteria. If thresholds were met,

Results

The review of 121,141,307 lipid panels and associated genetic tests from 58,400,105 patients resulted in 1,843,966 (3.2 %) that were classified as "possible FH". Overall, the mean TC was higher in females than males, particularly in those ≥16 years. LDL-c in the "no lipid evidence of FH" cohort increased year-over-year; LDL-c was stable or decreased in the "possible FH" cohort. Despite the large number of patients classified with "possible FH", very few (0.02 %) matched patients had genetic testing.

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