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. 2018 Oct 27;21:1334–1336. doi: 10.1016/j.dib.2018.10.125

Characterisation of patients with familial chylomicronaemia syndrome (FCS) and multifactorial chylomicronaemia syndrome (MCS): Establishment of an FCS clinical diagnostic score

Philippe Moulin a, Robert Dufour b, Maurizio Averna c, Marcello Arca d, Angelo B Cefalù c, Davide Noto c, Laura D’Erasmo d, Alessia Di Costanzo d, Christophe Marçais a, Luis Antonio Alvarez-Sala Walther e, Maciej Banach f, Jan Borén g, Robert Cramb h, Ioanna Gouni-Berthold i, Elizabeth Hughes j, Colin Johnson k, Xavier Pintó l, Željko Reiner m, Jeanine Roeters van Lennep n, Handrean Soran o, Claudia Stefanutti p, Erik Stroes q, Eric Bruckert r,
PMCID: PMC6231039  PMID: 30456254

Abstract

Data presented in this article are supplementary material to our article entitled “Identification and diagnosis of patients with familial chylomicronaemia syndrome (FCS): expert panel recommendations and proposal of an “FCS Score” (Moulin et al., 2018, in press). The data describe the genotypes of patients with familial chylomicronaemia syndrome (FCS) and multifactorial chylomicronaemia syndrome (MCS), from the validation and replication cohorts.


Specifications table

Subject area Medicine
More specific subject area Hypertriglyceridaemia
Type of data Text file, Table
How data was acquired Retrospectively. Clinical history and genotyping of patients
Data format Summary of raw data
Experimental factors Retrospective analysis of patient records
Experimental features The cut-off for the familial chylomicronaemia syndrome score was determined from a validation cohort and tested on replication cohorts
Data source location Lyon, France; Montréal, Canada; Rome, Italy; Palermo, Italy
Data accessibility Data are within this article

Value of the data

  • Summary data from relatively large cohorts of familial chylomicronaemia syndrome (FCS) and multifactorial chylomicronaemia syndrome (MCS) patients.

  • The data illustrate how a cut-off level of ≥10 for the FCS clinical diagnostic score [1] may help to differentiate between FCS and MCS patients.

  • The data provide a benchmark for future studies.

1. Data

The familial chylomicronaemia syndrome (FCS) cohort included 25 patients with FCS from the Montreal lipid clinic and four patients from the Lyon lipid clinic (Table 1). The multifactorial chylomicronaemia syndrome (MCS) cohort included 29 patients consecutively studied over the previous 2 years in the Lyon lipid clinic (Table 1). The FCS cohort was used to establish sensitivity and the MCS cohort was used to establish specificity, leading to a receiver operating characteristic (ROC) curve area of 0.91 [1]. Replication of the diagnosis capacity of the FCS score was retrospectively tested in two additional lipid clinics. The Rome replication cohort included 16 patients with FCS and 15 patients with MCS (Table 1). The Palermo replication cohort included eight patients with FCS and eight patients with MCS (Table 1).

Table 1.

Hypertriglyceridaemic patients: genotypes found in the different cohorts.

FCS
MCS
Ho LPL Comp He LPL Ho not LPL Comp He not LPL WT low LPL activity He Pol WT NA
Montreal 15 7 1 0 2
Lyon 3 1 11 8 5 5
Rome 8 1 5 2 11 4
Palermo 6 0 2 1 2 3 2

FCS, familial chylomicronaemia syndrome; MCS, multifactorial chylomicronaemia syndrome; Ho, homozygous; LPL, lipoprotein lipase; Comp, compound; He, heterozygous; WT, wild type; Pol, multiple functional SNPs; NA, not available.

2. Experimental design, materials and methods

The items of the FCS score were selected on a pragmatic basis following discussion within a panel of experts. The relative weight of each item was set up also on a pragmatic basis. The cut-off was determined from a validation cohort and tested on replication cohorts. FCS patients were defined as any patient carrier of a homozygous or a compound heterozygous loss of function mutation in lipoprotein lipase (LPL), apolipoprotein C2 (APOC2), apolipoprotein A5 (APOA5), glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (GPIHBP1) and lipase maturation factor 1 (LMF1) genes or a low post-heparin LPL activity. MCS patients were defined as patients with documented history of plasma triglyceride (TG) >10 mmol/L and carriers of either a heterozygous loss of function mutation and/or variants associated with increased TG level in LPL, APOC2, APOA5, GPIHBP1 and LMF1 genes.

In the patients with MCS, due to the retrospective design, the plasma TG concentration was considered to be consistently >10 mmol/L in order to challenge the specificity of the FCS score, if not enough information was available in the medical file regarding the reproducibility of the plasma TG concentration >10 mmol/L. Further study is needed to prospectively validate the score in cohorts with comprehensive phenotype available.

All the patients gave written, informed consent for genotyping. All the French patients received written information regarding the study according to the French bioethics Law Jardé 2017.

Acknowledgements

Medical writing assistance was provided by Karen Brayshaw, Ph.D, of Complete HealthVizion, which was contracted and compensated by Akcea Therapeutics.

We thank Marine Ginoux from Pharmaco Epidémiologie Lyon for providing assistance in the establishment of the ROC curve.

Footnotes

Transparency document

Transparency data associated with this article can be found in the online version at https://doi.org/10.1016/j.dib.2018.10.125.

Transparency document. Supplementary material

Supplementary material

mmc1.docx (15KB, docx)

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Reference

  • 1.P. Moulin, R. Dufour, M. Averna, M. Arca, A.B. Cefalù, D. Noto, L. D'Erasmo, A. Di Costanzo, C. Marçais, L.A. Alvarez-Sala Walther, M. Banach, J. Borén, R. Cramb, I. Gouni-Berthold, E. Hughes, C. Johnson, X. Pintó, Ž. Reiner, J.R. van Lennep, H. Soran, C. Stefanutti, E. Stroes, and E. Bruckert. (2018). Identification and diagnosis of patients with familial chylomicronaemia syndrome (FCS): Expert panel recommendations and proposal of an "FCS score". Atherosclerosis. 275:265-272. [DOI] [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary material

mmc1.docx (15KB, docx)

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