The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Contemporary Mortality Risk Prediction for Percutaneous Coronary Intervention
Open accessAbstract
Objective We sought to create contemporary models for predicting mortality risk following percutaneous coronary intervention (PCI). Background There is a need to identify PCI risk factors and accurately quantify procedural risks to facilitate comparative effectiveness research, provider comparisons, and informed patient decision making. Methods Data from 181,775 procedures performed from January 2004 to March 2006 were used to develop risk models based on pre-procedural and/or angiographic factors using logistic regression. These models were independently evaluated in two validation cohorts: contemporary (n=121,183, January 2004 to March 2006) and prospective (n=285,440, March 2006 to March 2007). Results Overall, PCI in-hospital mortality was 1.27%, ranging from 0.65% in elective PCI to 4.81% in STEMI patients. Multiple pre-procedural clinical factors were significantly associated with in-hospital mortality. Angiographic variables provided only modest incremental information to pre-procedural risk assessments. The overall NCDR model, as well as a simplified NCDR risk score (based on 8 key pre-procedure factors), had excellent discrimination (c-index 0.93 and 0.91, respectively). Discrimination and calibration of both risk tools were retained among specific patient subgroups, in the validation samples, and when used to estimate 30-day mortality rates among Medicare patients. Conclusions Risks for early mortality following PCI can be accurately predicted in contemporary practice. Incorporation of such risk tools should facilitate research, clinical, and policy applications.
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
Crossing the Quality Chasm: A New Health System for the 21st Century
Baker, A. (2001) · BMJ · doi:10.1136/bmj.323.7322.1192 · Cited by 10,736
The SYNTAX Score: an angiographic tool grading the complexity of coronary artery disease.
Sianos, G., Morel, M., Kappetein, A. P., Morice, M., Colombo, A., Dawkins, K. D., van den Brand, M., Dyck, N. V., Russell, M. E., Mohr, F. W., et al. (2005) · PubMed · Cited by 2,293
WRITING COMMITTEE MEMBERS, Smith, S. C., Feldman, T. E., Hirshfeld, J. W., Jacobs, A. K., Kern, M. J., King, S. B., Morrison, D. A., O’Neill, W. W., Schaff, H. V., et al. (2006) · Circulation · doi:10.1161/circulationaha.105.170815 · Cited by 2,218
Leavitt, M. (2001) · PubMed · Cited by 1,862
Presentation of multivariate data for clinical use: The Framingham Study risk score functions
Sullivan, L. M., Massaro, J. M., & D'Agostino, R. B. (2004) · Statistics in Medicine · doi:10.1002/sim.1742 · Cited by 1,753
Qualitative and Mixed Methods Provide Unique Contributions to Outcomes Research
Curry, L. A., Nembhard, I. M., & Bradley, E. H. (2009) · Circulation · doi:10.1161/circulationaha.107.742775 · Cited by 1,085
ACC/AHA/SCAI 2005 Guideline Update for Percutaneous Coronary Intervention
Smith, S. C., Feldman, T. E., Hirshfeld, J. W., Jacobs, A. K., Kern, M. J., King, S. B., Morrison, D. A., O’Neill, W. W., Schaff, H. V., Whitlow, P. L., et al. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.12.001 · Cited by 532
Linking inpatient clinical registry data to Medicare claims data using indirect identifiers
Hammill, B. G., Hernandez, A. F., Peterson, E. D., Fonarow, G. C., Schulman, K. A., & Curtis, L. H. (2009) · American Heart Journal · doi:10.1016/j.ahj.2009.04.002 · Cited by 389
Self-citationBrindis, R. G., Fitzgerald, S., Anderson, H. V., Shaw, R. E., Weintraub, W. S., & Williams, J. F. (2001) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(01)01372-9 · Cited by 387
Self-citationKrumholz, H. M., Brindis, R. G., Brush, J. E., Cohen, D. J., Epstein, A. J., Furie, K., Howard, G., Peterson, E. D., Rathore, S. S., Smith, S. C., et al. (2006) · Circulation · doi:10.1161/circulationaha.105.170769 · Cited by 341
Self-citation
Cited by
(2014) · European Heart Journal · doi:10.1093/eurheartj/ehu278 · Cited by 4,314
Writing Committee Members, Levine, G. N., Bates, E. R., Blankenship, J. C., Bailey, S. R., Bittl, J. A., Cercek, B., Chambers, C. E., Ellis, S. G., Guyton, R. A., et al. (2011) · Circulation · doi:10.1161/cir.0b013e31823ba622 · Cited by 3,289
Developed with the special contribution of the European Association for Percutaneous Cardiovascular Interventions (EAPCI), Authors/Task Force Members, Wijns, W., Kolh, P., Danchin, N., Di Mario, C., Falk, V., Folliguet, T., Garg, S., Huber, K., et al. (2010) · European Heart Journal · doi:10.1093/eurheartj/ehq277 · Cited by 3,184
Clinical Outcomes at 1 Year Following Transcatheter Aortic Valve Replacement
Holmes, D. R., Brennan, J. M., Rumsfeld, J. S., Dai, D., O’Brien, S. M., Vemulapalli, S., Edwards, F. H., Carroll, J., Shahian, D., Grover, F., et al. (2015) · JAMA · doi:10.1001/jama.2015.1474 · Cited by 477
Self-citationRoe, M. T., Messenger, J. C., Weintraub, W. S., Cannon, C. P., Fonarow, G. C., Dai, D., Chen, A. Y., Klein, L. W., Masoudi, F. A., McKay, C., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.05.008 · Cited by 446
Self-citation
Metadata
- Authors
- Peterson, E. D., Dai, D., DeLong, E. R., Brennan, J. M., Singh, M., Rao, S. V., Shaw, R. E., Roe, M. T., Ho, K. K. L., Klein, L. W., Krone, R. J., Weintraub, W. S., Brindis, R. G., Rumsfeld, J. S., & Spertus, J. A.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2010-05
- Volume
- 55
- Issue
- 18
- Pages
- 1923-1932
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W1934667690
- Cited by
- 457
- References
- 26
- FWCI
- 46.89
- 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: Contemporary Mortality Risk Prediction for Percutaneous Coronary Intervention. https://app.cochat.ai/papers/10.1016/j.jacc.2010.02.005
- The paper
- Peterson, E. D., Dai, D., DeLong, E. R., Brennan, J. M., Singh, M., Rao, S. V., Shaw, R. E., Roe, M. T., Ho, K. K. L., Klein, L. W., Krone, R. J., Weintraub, W. S., Brindis, R. G., Rumsfeld, J. S., & Spertus, J. A. (2010). Contemporary Mortality Risk Prediction for Percutaneous Coronary Intervention. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2010.02.005
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.
