The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Risk Factors for Aborted Cardiac Arrest and Sudden Cardiac Death in Children With the Congenital Long-QT Syndrome
Open accessAbstract
Background—The congenital long-QT syndrome (LQTS) is an important cause of sudden cardiac death in children without structural heart disease. However, specific risk factors for life-threatening cardiac events in children with this genetic disorder have not been identified. Methods and Results—Cox proportional-hazards regression modeling was used to identify risk factors for aborted cardiac arrest or sudden cardiac death in 3015 LQTS children from the International LQTS Registry who were followed up from 1 through 12 years of age. The cumulative probability of the combined end point was significantly higher in boys (5%) than in girls (1%;P<0.001). Risk factors for cardiac arrest or sudden cardiac death during childhood included corrected QT interval [QTc] duration >500 ms (hazard ratio [HR]; 2.72; 95% confidence interval [CI], 1.50 to 4.92;P=0.001) and prior syncope (recent syncope [<2 years]: HR, 6.16; 95% CI 3.41 to 11.15;P<0.001; remote syncope [≥2 years]: HR, 2.67; 95% CI, 1.22 to 5.85;P=0.01) in boys, whereas prior syncope was the only significant risk factor among girls (recent syncope: HR, 27.82; 95% CI, 9.72 to 79.60;P<0.001; remote syncope: HR, 12.04; 95% CI, 3.79 to 38.26;P<0.001). β-Blocker therapy was associated with a significant 53% reduction in the risk of cardiac arrest or sudden cardiac death (P=0.01). Conclusions—LQTS boys experience a significantly higher rate of fatal or near-fatal cardiac events than girls during childhood. A QTc duration >500 ms and a history of prior syncope identify risk in boys, whereas prior syncope is the only significant risk factor among girls. β-Blocker therapy is associated with a significant reduction in the risk of life-threatening cardiac events during childhood.
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
Cites
Modeling Survival Data: Extending the Cox Model
Therneau, T. M., & Grambsch, P. M. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4757-3294-8 · Cited by 8,674
Gender Difference in the Cycle Length-Dependent QT and Potassium Currents in Rabbits
Liu, X.-K., Katchman, A., Drici, M.-D., Ebert, S. N., Ducic, I., Morad, M., & Woosley, R. L. (1998) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/s0022-3565(24)37435-x · Cited by 209
Cited by
Priori, S. G., Wilde, A. A., Horie, M., Cho, Y., Behr, E. R., Berul, C., Blom, N., Brugada, J., Chiang, C.-E., Huikuri, H., et al. (2013) · Heart Rhythm · doi:10.1016/j.hrthm.2013.05.014 · Cited by 1,942
Self-citationRisk of fatal arrhythmic events in long QT syndrome patients after syncope
Jons, C., Moss, A. J., Goldenberg, I., Liu, J., McNitt, S., Zareba, W., Qi, M., & Robinson, J. L. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.11.042 · Cited by 138
Self-citationLiu, J. F., Jons, C., Moss, A. J., McNitt, S., Peterson, D. R., Qi, M., Zareba, W., Robinson, J. L., Barsheshet, A., Ackerman, M. J., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.10.025 · Cited by 126
Self-citationLong QT syndrome and short QT syndrome
Zareba, W., & Cygankiewicz, I. (2008) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2008.10.006 · Cited by 96
Vink, A. S., Clur, S.-A. B., Wilde, A. A. M., & Blom, N. A. (2018) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2017.07.012 · Cited by 91
Metadata
- Authors
- Goldenberg, I., Moss, A. J., Peterson, D. R., McNitt, S., Zareba, W., Andrews, M. L., Robinson, J. L., Locati, E. H., Ackerman, M. J., Benhorin, J., Kaufman, E. S., Napolitano, C., Priori, S. G., Qi, M., Schwartz, P. J., Towbin, J. A., Vincent, G. M., & Zhang, L.
- Venue
- Circulation
- Published
- 2008-04-29
- Volume
- 117
- Issue
- 17
- Pages
- 2184-2191
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2000620739
- Cited by
- 304
- References
- 2
- FWCI
- 21.56
- Type
- journal article
- Language
- en
- Open access
- green
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
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.