The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Congestive Heart Failure in the United States: Is There More Than Meets the I(CD Code)? The Corpus Christi Heart Project
Abstract
BACKGROUND: Congestive heart failure (CHF) is increasing as a public health problem in the United States. The ability to quantify this problem has been limited by a lack of data regarding the validity of CHF identification. OBJECTIVE: To assess the validity of the use of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD) codes to identify hospitalizations with clinical evidence of an episode of acute CHF in data of The Corpus Christi Heart Project, a population-based surveillance program for hospitalized coronary heart disease. METHODS: The validation standard was a composite variable including the presence of physician diagnosed acute CHF or radiographic evidence of pulmonary edema. Data were abstracted from the medical records of 5083 patients identified as hospitalized for possible acute myocardial infarction, aortocoronary bypass surgery, percutaneous transluminal coronary angioplasty, and related revascularization procedures in the Corpus Christi Heart Project. Discharge diagnoses, a secondary source of data, were used to apply 3 computer algorithms to assess the assignment of ICD codes. RESULTS: The prevalence of clinically documented CHF was 27.1% (1376/5083). The ICD code 428 (CHF), assigned as the primary or a secondary discharge diagnosis, was associated with 62.8% sensitivity, 95.4% specificity, 83.5% positive predictive value, 87.4% negative predictive value, and a 24.8% underenumeration of CHF-related hospitalizations. An algorithm based on a series of ICD codes was associated with 67.1% sensitivity, 92.6% specificity, 77.1% positive predictive value, 88.3% negative predictive value, and a 13.0% underenumeration of CHF-related hospitalizations. CONCLUSIONS: Reliance on ICD codes results in the exclusion of one third of the patients with clinical evidence of acute CHF. This underenumeration is compounded by the typical reliance on the first listed diagnosis. Congestive heart failure may be a greater public health problem than currently recognized. The allocation of resources for relevant surveillance, research, medical care, and preventive efforts should be reevaluated.
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
The SOLVD Investigators* (1991) · New England Journal of Medicine · doi:10.1056/nejm199108013250501 · Cited by 8,029
Pfeffer, M. A., Braunwald, E., Moyé, L. A., Basta, L., Brown, E. J., Cuddy, T. E., Davis, B. R., Geltman, E. M., Goldman, S., Flaker, G. C., et al. (1992) · New England Journal of Medicine · doi:10.1056/nejm199209033271001 · Cited by 5,911
Cited by
Epidemiology and risk profile of heart failure
Bui, A. L., Horwich, T. B., & Fonarow, G. C. (2011) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2010.165 · Cited by 2,077
Groenewegen, A., Rutten, F. H., Mosterd, A., & Hoes, A. W. (2020) · European Journal of Heart Failure · doi:10.1002/ejhf.1858 · Cited by 2,043
Ezekowitz, J. A., McAlister, F. A., & Armstrong, P. W. (2003) · Circulation · doi:10.1161/01.cir.0000052622.51963.fc · Cited by 866
Heart failure prevalence, incidence, and mortality in the elderly with diabetes
Bertoni, A. G., Hundley, W. G., Massing, M. W., Bonds, D. E., Burke, G. L., & Goff, D. C. (2004) · Diabetes Care · doi:10.2337/diacare.27.3.699 · Cited by 596
Self-citationGender, age, and heart failure with preserved left ventricular systolic function
Masoudi, F. A., Havranek, E. P., Smith, G., Fish, R. H., Steiner, J. F., Ordin, D. L., & Krumholz, H. M. (2003) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(02)02696-7 · Cited by 426
Metadata
- Authors
- Goff, D. C., Pandey, D. K., Chan, F. A., Ortiz, C., & Nichaman, M. Z.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2000-01-24
- Volume
- 160
- Issue
- 2
- Pages
- 197
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W1997457778
- Cited by
- 222
- References
- 2
- FWCI
- 7.29
- Type
- journal article
- Language
- en
- Open access
- closed
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: Congestive Heart Failure in the United States: Is There More Than Meets the I(CD Code)? The Corpus Christi Heart Project. https://app.cochat.ai/papers/10.1001/archinte.160.2.197
- The paper
- Goff, D. C., Pandey, D. K., Chan, F. A., Ortiz, C., & Nichaman, M. Z. (2000). Congestive Heart Failure in the United States: Is There More Than Meets the I(CD Code)? The Corpus Christi Heart Project. Archives of Internal Medicine. https://doi.org/10.1001/archinte.160.2.197
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.