The DOI matches its Crossref record.
The contribution of classical risk factors to cardiovascular disease in familial hypercholesterolaemia: data in 2400 patients
Open accessAbstract
Abstract.: Objective. To determine the contribution of classical risk factors to the development of cardiovascular disease (CVD) in patients with heterozygous familial hypercholesterolaemia (FH). Design. A retrospective, multi‐centre, cohort study. Extensive data were collected by scrutinizing medical records and the use of questionnaires. Multivariate Cox regression was used to study the relationship between potential risk factors and the occurrence of CVD. Setting and subjects. We included 2400 FH patients from 27 Dutch lipid clinics. The diagnosis of FH was based upon the presence of a low‐density lipoprotein receptor mutation or upon strict clinical criteria. Main outcome measures. Cardiovascular mortality and CVD. Results. During 112.943 person‐years, 782 (32.6%) patients had had at least one cardiovascular event. Male gender (RR 2.82, 95% CI 2.37–3.36), smoking (RR 1.67, 95% CI 1.40–1.99), hypertension (RR 1.36, 95% CI 1.06–1.75), diabetes mellitus (RR 2.19, 95% CI 1.36–3.54), low HDL‐C (RR 1.37, 95% CI 1.15–1.63) and elevated lipoprotein(a) levels (RR 1.50, 95% CI 1.20–1.79) proved to be independent CVD risk factors. These six risk factors explained 18.7% of the variation in the occurrence of CVD. Conclusions. Male gender, smoking, hypertension, diabetes mellitus, HDL cholesterol and lipoprotein(a) levels proved to be important risk factors for CVD in FH patients. In addition to the routine instiQJ;tution of statin therapy, controlling these factors needs special attention in the management of this disorder.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nordestgaard, B. G., Chapman, M. J., Humphries, S. E., Ginsberg, H. N., Masana, L., Descamps, O. S., Wiklund, O., Hegele, R. A., Raal, F. J., Defesche, J. C., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht273 · Cited by 2,761
Efficacy of statins in familial hypercholesterolaemia: a long term cohort study
Versmissen, J., Oosterveer, D. M., Yazdanpanah, M., Defesche, J. C., Basart, D. C. G., Liem, A. H., Heeringa, J., Witteman, J. C., Lansberg, P. J., Kastelein, J. J. P., et al. (2008) · BMJ · doi:10.1136/bmj.a2423 · Cited by 721
Self-citationKavey, R.-E. W., Allada, V., Daniels, S. R., Hayman, L. L., McCrindle, B. W., Newburger, J. W., Parekh, R. S., & Steinberger, J. (2006) · Circulation · doi:10.1161/circulationaha.106.179568 · Cited by 707
Familial Hypercholesterolemia: Screening, diagnosis and management of pediatric and adult patients
Goldberg, A. C., Hopkins, P. N., Toth, P. P., Ballantyne, C. M., Rader, D. J., Robinson, J. G., Daniels, S. R., Gidding, S. S., de Ferranti, S. D., Ito, M. K., et al. (2011) · Journal of clinical lipidology · doi:10.1016/j.jacl.2011.03.001 · Cited by 622
Mechanisms of disease: genetic causes of familial hypercholesterolemia
Soutar, A. K., & Naoumova, R. P. (2007) · Nature Clinical Practice Cardiovascular Medicine · doi:10.1038/ncpcardio0836 · Cited by 608
Metadata
- Authors
- Jansen, A. C. M., van Aalst‐Cohen, E. S., Tanck, M. W., Trip, M. D., Lansberg, P. J., Liem, A. H., Roeters van Lennep, H. W. O., Sijbrands, E. J. G., & Kastelein, J. J. P.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2004-11-19
- Volume
- 256
- Issue
- 6
- Pages
- 482-490
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W2105612671
- Cited by
- 302
- References
- 0
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The contribution of classical risk factors to cardiovascular disease in familial hypercholesterolaemia: data in 2400 patients. https://app.cochat.ai/papers/10.1111/j.1365-2796.2004.01405.x
- The paper
- Jansen, A. C. M., van Aalst‐Cohen, E. S., Tanck, M. W., Trip, M. D., Lansberg, P. J., Liem, A. H., Roeters van Lennep, H. W. O., Sijbrands, E. J. G., & Kastelein, J. J. P. (2004). The contribution of classical risk factors to cardiovascular disease in familial hypercholesterolaemia: data in 2400 patients. Journal of Internal Medicine. https://doi.org/10.1111/j.1365-2796.2004.01405.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.