Cited by 130Lipid metabolism and disordersLymphatic Disorders and TreatmentsLipoproteins and Cardiovascular Health

Diagnostic algorithm for familial chylomicronemia syndrome

Open access
Stroes, Erik, Moulin, Philippe, Parhofer, Klaus G., Rebours, Vinciane, Löhr, J-Matthias, Averna, Maurizio·2017·Atherosclerosis Supplements

Abstract

BACKGROUND: Familial chylomicronemia syndrome (FCS) is a rare genetic disease that leads to severe hypertriglyceridemia often associated with recurrent episodes of pancreatitis. The recognition and correct diagnosis of the disease is challenging due to its rarity, and to the lack of specificity of signs and symptoms. Lipid experts, endocrinologists, gastroenterologists, pancreatologists, and general practitioners may encounter patients who potentially have FCS. Therefore, cooperation between experts and improved knowledge of FCS is essential in improving the diagnosis. Currently, a consensus on best practice for the diagnosis of FCS is lacking. METHODS: Aiming to define a diagnostic algorithm for FCS, a board of European experts was instituted. Such an algorithm for FCS is important to guide practitioners in the diagnosis of suspected FCS and to optimize therapeutic strategies. RESULTS: The multidisciplinary views were merged, leading to a diagnostic algorithm, proposed here. CONCLUSION: This diagnostic algorithm represents a potentially useful tool to support primary and secondary care practitioners in the recognition of signs and clinical manifestations in individuals potentially affected by FCS.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.atherosclerosissup.2016.10.002

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Loss of LPL activity results in a reduced ability to hydrolyze triglycerides in triglyceride-rich lipoproteins, leading to their accumulation in plasma and subsequent severe hypertriglyceridemia.

    “Loss of LPL activity results in a reduced ability to hydrolyze triglycerides in triglyceride-rich lipoproteins, such as intestinally derived chylomicrons and hepatically derived very-low-density lipoproteins, leading to their accumulation in plasma and subsequent severe hypertriglyceridemia. 10-12”
  • Familial chylomicronemia syndrome is caused by biallelic loss-of-function variants in LPL or in related genes needed for LPL activity.

    “The condition is caused by biallelic loss-of-function variants in LPL (encoding lipoprotein lipase) or in related genes needed for LPL activity. 10-12”
  • Triglyceride levels in individuals with FCS are often 10-fold to 100-fold or more above normal (<150 mg/dL) and may range from 1500 to 15,000 mg/dL or higher.

    “Triglyceride (TG) levels in individuals with FCS are often 10-fold to 100-fold or more above normal (,150 mg/dL) and may range from 1500 to 15,000 mg/ dL or higher.4,5”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 32 · Cited by 130

Research works printed but not linked: 4

  1. Brahm AJ, Hegele R. Chylomicronaemiadcurrent diagnosis and future therapies. Nat Rev Endocrinol 2015;11(6):352e62.
  2. Fredrickson DS, Lees RS. A system for phenotyping hyper- lipoproteinemia. Circulation 1965;31:321e7.
  3. Bruno MJ. Gene therapy coming of age e prevention of acute pancreatitis in lipoprotein lipase deficiency through alipogene tipar- vovec. Eur Gastroenterol Hepatol Rev 2010;6:48e53.
  4. Banks PA, Bollen TL, Dervenis C, et al. Classification of acute pancreatitisd2012: revision of the Atlanta classification and defini- tions by international consensus. Gut 2013;62:102e11.

Authors
Stroes, E., Moulin, P., Parhofer, K. G., Rebours, V., Löhr, J.-M., & Averna, M.
Affiliations
  • Amsterdam UMC Location University of Amsterdam (NL)
  • Hôpital Louis Pradel (FR)
  • LMU Klinikum (DE)
  • Inserm (FR)
  • Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo (IT)
Corresponding author
Averna, Maurizio
Venue
Atherosclerosis Supplements
Publisher
Elsevier BV
Published
2017-01
Volume
23
Pages
1-7
ISSN
1567-5688 (ISSN-L)
OpenAlex
W2567623183
Cited by
130
References
32
Citations by year
2026: 3 · 2025: 15 · 2024: 10 · 2023: 11 · 2022: 13 · 2021: 16 · 2020: 19 · 2019: 15 · 2018: 20 · 2017: 8
FWCI
11.82
Type
journal article
Language
en
Open access
Locations
  • Atherosclerosis Supplements (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • HAL (submittedVersion)
  • Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
  • Health Sciences › Medicine › Surgery › Lymphatic Disorders and Treatments
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
Keywords
familial chylomicronemia syndrome, diagnostic algorithm, severe hypertriglyceridemia, recurrent pancreatitis, genetic lipid disorders, expert consensus, multidisciplinary diagnosis, clinical recognition
MeSH terms
Algorithms, Decision Support Techniques, DNA Mutational Analysis, Genetic Markers, Humans, Lipids, Lipoprotein Lipase, Hyperlipoproteinemia Type I, Mutation, Phenotype, Predictive Value of Tests, Prognosis, Biomarkers, Practice Guidelines as Topic, Critical Pathways, Genetic Predisposition to Disease

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review