The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Relation between Renal Dysfunction and Cardiovascular Outcomes after Myocardial Infarction
Open accessAbstract
BACKGROUND: The presence of coexisting conditions has a substantial effect on the outcome of acute myocardial infarction. Renal failure is associated with one of the highest risks, but the influence of milder degrees of renal impairment is less well defined. METHODS: As part of the Valsartan in Acute Myocardial Infarction Trial (VALIANT), we identified 14,527 patients with acute myocardial infarction complicated by clinical or radiologic signs of heart failure, left ventricular dysfunction, or both, and a documented serum creatinine measurement. Patients were randomly assigned to receive captopril, valsartan, or both. The glomerular filtration rate (GFR) was estimated by means of the four-component Modification of Diet in Renal Disease equation, and the patients were grouped according to their estimated GFR. We used a 70-candidate variable model to adjust and compare overall mortality and composite cardiovascular events among four GFR groups. RESULTS: The distribution of estimated GFR was wide and normally shaped, with a mean (+/-SD) value of 70+/-21 ml per minute per 1.73 m2 of body-surface area. The prevalence of coexisting risk factors, prior cardiovascular disease, and a Killip class of more than I was greatest among patients with a reduced estimated GFR (less than 45.0 ml per minute per 1.73 m2), and the use of aspirin, beta-blockers, statins, or coronary-revascularization procedures was lowest in this group. The risk of death or the composite end point of death from cardiovascular causes, reinfarction, congestive heart failure, stroke, or resuscitation after cardiac arrest increased with declining estimated GFRs. Although the rate of renal events increased with declining estimated GFRs, the adverse outcomes were predominantly cardiovascular. Below 81.0 ml per minute per 1.73 m2, each reduction of the estimated GFR by 10 units was associated with a hazard ratio for death and nonfatal cardiovascular outcomes of 1.10 (95 percent confidence interval, 1.08 to 1.12), which was independent of the treatment assignment. CONCLUSIONS: Even mild renal disease, as assessed by the estimated GFR, should be considered a major risk factor for cardiovascular complications after a myocardial infarction.
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
Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
Lewis, E. J., Hunsicker, L. G., Clarke, W. R., Berl, T., Pohl, M. A., Lewis, J. B., Ritz, E., Atkins, R. C., Rohde, R., & Raz, I. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011303 · Cited by 5,987
Pfeffer, M. A., McMurray, J. J. V., Velazquez, E. J., Rouleau, J.-L., Køber, L., Maggioni, A. P., Solomon, S. D., Swedberg, K., Van de Werf, F., White, H., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa032292 · Cited by 2,471
Self-citationHoldaas, H., Fellström, B., Jardine, A. G., Holme, I., Nyberg, G., Fauchald, P., Grönhagen-Riska, C., Madsen, S., Neumayer, H.-H., Cole, E., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13638-0 · Cited by 919
Cited by
2023 ESC Guidelines for the management of acute coronary syndromes
Byrne, R. A., Rossello, X., Coughlan, J. J., Barbato, E., Berry, C., Chieffo, A., Claeys, M. J., Dan, G.-A., Dweck, M. R., Galbraith, M., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad191 · Cited by 5,333
Self-citation2014 AHA/ACC Guideline for the Management of Patients With Non–ST-Elevation Acute Coronary Syndromes
Amsterdam, E. A., Wenger, N. K., Brindis, R. G., Casey, D. E., Ganiats, T. G., Holmes, D. R., Jaffe, A. S., Jneid, H., Kelly, R. F., Kontos, M. C., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.09.017 · Cited by 3,595
Rosuvastatin and Cardiovascular Events in Patients Undergoing Hemodialysis
Fellström, B. C., Jardine, A. G., Schmieder, R. E., Holdaas, H., Bannister, K., Beutler, J., Chae, D.-W., Chevaile, A., Cobbe, S. M., Grönhagen-Riska, C., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810177 · Cited by 2,036
Virani, S. S., Newby, L. K., Arnold, S. V., Bittner, V., Brewer, L. C., Demeter, S. H., Dixon, D. L., Fearon, W. F., Hess, B., Johnson, H. M., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001168 · Cited by 1,598
Chronic Kidney Disease: Effects on the Cardiovascular System
Schiffrin, E. L., Lipman, M. L., & Mann, J. F. E. (2007) · Circulation · doi:10.1161/circulationaha.106.678342 · Cited by 1,448
Amsterdam, E. A., Wenger, N. K., Brindis, R. G., Casey, D. E., Ganiats, T. G., Holmes, D. R., Jaffe, A. S., Jneid, H., Kelly, R. F., Kontos, M. C., et al. (2014) · Circulation · doi:10.1161/cir.0000000000000134 · Cited by 1,059
Albuminuria and kidney function independently predict cardiovascular and renal outcomes in diabetes
Ninomiya, T., Perkovic, V., de Galan, B. E., Zoungas, S., Pillai, A., Jardine, M., Patel, A., Cass, A., Neal, B., Poulter, N., et al. (2009) · Journal of the American Society of Nephrology · doi:10.1681/asn.2008121270 · Cited by 965
Renal Function as a Predictor of Outcome in a Broad Spectrum of Patients With Heart Failure
Hillege, H. L., Nitsch, D., Pfeffer, M. A., Swedberg, K., McMurray, J. J. V., Yusuf, S., Granger, C. B., Michelson, E. L., Östergren, J., Cornel, J. H., et al. (2006) · Circulation · doi:10.1161/circulationaha.105.580506 · Cited by 945
Self-citationFihn, S. D., Gardin, J. M., Abrams, J., Berra, K., Blankenship, J. C., Dallas, A. P., Douglas, P. S., Foody, J. M., Gerber, T. C., Hinderliter, A. L., et al. (2012) · Circulation · doi:10.1161/cir.0b013e318277d6a0 · Cited by 845
Cardiovascular and noncardiovascular mortality among patients starting dialysis
de Jager, D. J. (2009) · JAMA · doi:10.1001/jama.2009.1488 · Cited by 755
Virani, S. S., Newby, L. K., Arnold, S. V., Bittner, V., Brewer, L. C., Demeter, S. H., Dixon, D. L., Fearon, W. F., Hess, B., Johnson, H. M., et al. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.04.003 · Cited by 596
Fox, C. S., Muntner, P., Chen, A. Y., Alexander, K. P., Roe, M. T., Cannon, C. P., Saucedo, J. F., Kontos, M. C., & Wiviott, S. D. (2010) · Circulation · doi:10.1161/circulationaha.109.865352 · Cited by 458
Renal Denervation in Moderate to Severe CKD
Hering, D., Mahfoud, F., Walton, A. S., Krum, H., Lambert, G. W., Lambert, E. A., Sobotka, P. A., Böhm, M., Cremers, B., Esler, M. D., et al. (2012) · Journal of the American Society of Nephrology · doi:10.1681/asn.2011111062 · Cited by 361
Palmer, S. C., Craig, J. C., Navaneethan, S. D., Tonelli, M., Pellegrini, F., & Strippoli, G. F. M. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-4-201208210-00007 · Cited by 359
Shepherd, J., Kastelein, J. J. P., Bittner, V., Deedwania, P., Breazna, A., Dobson, S., Wilson, D. J., Zuckerman, A., & Wenger, N. K. (2007) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.04371206 · Cited by 275
Di Angelantonio, E., Chowdhury, R., Sarwar, N., Aspelund, T., Danesh, J., & Gudnason, V. (2010) · BMJ · doi:10.1136/bmj.c4986 · Cited by 275
Charytan, D., & Kuntz, R. E. (2006) · Kidney International · doi:10.1038/sj.ki.5001934 · Cited by 271
Clinical Use of High-Sensitivity Cardiac Troponin in Patients With Suspected Myocardial Infarction
Twerenbold, R., Boeddinghaus, J., Nestelberger, T., Wildi, K., Rubini Gimenez, M., Badertscher, P., & Mueller, C. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.07.718 · Cited by 255
Tonelli, M., Wanner, C., & for the Kidney Disease: Improving Global Outcomes Lipid Guideline Development Work Group Members* (2014) · Annals of Internal Medicine · doi:10.7326/m13-2453 · Cited by 226
Associations of Diet with Albuminuria and Kidney Function Decline
Lin, J., Hu, F. B., & Curhan, G. C. (2010) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.08001109 · Cited by 216
Efficacy and safety of evolocumab in chronic kidney disease in the FOURIER trial
Charytan, D. M., Sabatine, M. S., Pedersen, T. R., Im, K., Park, J.-G., Pineda, A. L., Wasserman, S. M., Deedwania, P., Olsson, A. G., Sever, P. S., et al. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.03.513 · Cited by 210
Palmer, S. C., Di Micco, L., Razavian, M., Craig, J. C., Perkovic, V., Pellegrini, F., Copetti, M., Graziano, G., Tognoni, G., Jardine, M., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-156-6-201203200-00007 · Cited by 204
Glycemic Status and Development of Kidney Disease
Fox, C. S., Larson, M. G., Leip, E. P., Meigs, J. B., Wilson, P. W. F., & Levy, D. (2005) · Diabetes Care · doi:10.2337/diacare.28.10.2436 · Cited by 197
Gutierrez-Mariscal, F. M., Arenas-de Larriva, A. P., Limia-Perez, L., Romero-Cabrera, J. L., Yubero-Serrano, E. M., & López-Miranda, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21217870 · Cited by 190
Effect of pravastatin in people with diabetes and chronic kidney disease
Tonelli, M., Keech, A., Shepherd, J., Sacks, F., Tonkin, A., Packard, C., Pfeffer, M., Simes, J., Isles, C., Furberg, C., et al. (2005) · Journal of the American Society of Nephrology · doi:10.1681/asn.2005070779 · Cited by 159
Self-citationPrevalence and Outcomes of Left‐Sided Valvular Heart Disease Associated With Chronic Kidney Disease
Samad, Z., Sivak, J. A., Phelan, M., Schulte, P. J., Patel, U., & Velazquez, E. J. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.006044 · Cited by 128
Self-citationMatrix metalloproteinases as input and output signals for post-myocardial infarction remodeling
Lindsey, M. L., Iyer, R. P., Jung, M., DeLeon-Pennell, K. Y., & Ma, Y. (2016) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2015.12.018 · Cited by 113
Klausen, K. P., Scharling, H., Jensen, G., & Jensen, J. S. (2005) · Hypertension · doi:10.1161/01.hyp.0000169153.78459.50 · Cited by 106
Relations between plasma asymmetric dimethylarginine (ADMA) and risk factors for coronary disease
Wang, J., Sim, A. S., Wang, X. L., Salonikas, C., Naidoo, D., & Wilcken, D. E. L. (2006) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2005.05.002 · Cited by 96
KLAUSEN, K. P., SCHARLING, H., & JENSEN, J. S. (2006) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2006.01679.x · Cited by 83
Robinson-Cohen, C., Newitt, R., Shen, D. D., Rettie, A. E., Kestenbaum, B. R., Himmelfarb, J., & Yeung, C. K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0161074 · Cited by 63
Hyre, A. D., Fox, C. S., Astor, B. C., Cohen, A. J., & Muntner, P. (2007) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2006.09.017 · Cited by 55
Cholesterol-Lowering Agents: Statins—For Everyone?
Hadjiphilippou, S., & Ray, K. K. (2019) · Circulation Research · doi:10.1161/circresaha.118.313245 · Cited by 49
Natsuaki, M., Furukawa, Y., Morimoto, T., Sakata, R., & Kimura, T. (2012) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2012.07.021 · Cited by 35
Cardiovascular disease outcomes related to early stage renal impairment after liver transplantation
VanWagner, L. B., Montag, S., Zhao, L., Allen, N. B., Lloyd-Jones, D. M., Das, A., Skaro, A. I., Hohmann, S., Friedewald, J. J., & Levitsky, J. (2018) · Transplantation · doi:10.1097/tp.0000000000002175 · Cited by 32
Kasai, T., Miyauchi, K., Kajimoto, K., Kubota, N., Dohi, T., Tsuruta, R., Ogita, M., Yokoyama, T., Amano, A., & Daida, H. (2011) · Hypertension Research · doi:10.1038/hr.2010.244 · Cited by 12
Metadata
- Authors
- Anavekar, N. S., McMurray, J. J. V., Velazquez, E. J., Solomon, S. D., Kober, L., Rouleau, J.-L., White, H. D., Nordlander, R., Maggioni, A., Dickstein, K., Zelenkofske, S., Leimberger, J. D., Califf, R. M., & Pfeffer, M. A.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2004-09-23
- Volume
- 351
- Issue
- 13
- Pages
- 1285-1295
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2082069148
- Cited by
- 1,917
- References
- 4
- FWCI
- 78.48
- 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
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.