Evidence map›Paper›PMID 39569404›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2024

Case detection of familial hypercholesterolemia using various criteria during an annual health examination in the workplace.

Poranee Ganokroj, Suwanna Muanpetch, Nitt Hanprathet, Wiroj Jiamjarasrangsi, Weerapan Khovidhunkit

Abstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Poranee GanokrojDivision of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Chulalongkorn University and Excellence Center in Diabetes, Hormones and Metabolism, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Suwanna MuanpetchDivision of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Chulalongkorn University and Excellence Center in Diabetes, Hormones and Metabolism, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Nitt HanprathetDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Wiroj JiamjarasrangsiDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Weerapan KhovidhunkitDivision of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Chulalongkorn University and Excellence Center in Diabetes, Hormones and Metabolism, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early diagnosis and appropriate treatment of subjects with familial hypercholesterolemia (FH) could prevent cardiovascular disease (CAD). Objective: We aimed to identify potential cases of FH during a workplace screening and to explore their clinical data. Method: Personnel who attended an annual health examination were invited to answer a questionnaire and to provide consent to review their laboratory results. FH was clinically diagnosed using any one of the three standard criteria: Dutch Lipid Clinic Network (DLCN), Simon Broome (SB), and Make Early Diagnosis to Prevent Early Deaths (MEDPED). Clinical characteristics were compared between FH and unlikely FH subjects. Results: Among 6607 participants, potential cases of FH were identified in 2.5 % by DLCN, 4.0 % by SB, and 0.8 % by MEDPED alone. Premature CAD, hypertension, and current smoking were significantly more common in potential FH subjects than in unlikely FH subjects. Potential FH subjects also had significantly higher body mass index, waist circumference, blood pressure, fasting plasma glucose and triglyceride levels than unlikely FH subjects. Among potential FH subjects, lipid-lowering medication was used in 28.4 %. The achievement of the LDL-C goal (<100 mg/dL) in potential FH subjects was significantly lower than that in unlikely FH subjects (15 % vs. 28 %, respectively, P = 0.005) despite a higher rate of high-intensity statin use (25 % vs. 10 %, respectively, P = 0.002). Conclusion: The workplace screening of FH detected a significant number of potential FH subjects with higher cardiovascular risk. This strategy identified individuals for whom intensification of both lifestyle modifications and pharmacological treatment should be a priority.

Indexed as

Diagnostic criteriaFamilial hypercholesterolemiaPremature cardiovascular disease

Identifiers

PMID39569404
PMCPMC11577192

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.