Literature DB >> 24332146

Incremental prognostic information from kidney function in patients with new onset coronary heart disease.

Mark A Hlatky1, David Shilane2, Tara I Chang2, Derek Boothroyd2, Alan S Go3.   

Abstract

BACKGROUND: Prognostic factors are usually evaluated by their statistical significance rather than by their clinical utility. Risk reclassification measures the extent to which a novel marker adds useful information to a prognostic model. The extent to which estimated glomerular filtration rate (eGFR) adds information about prognosis among patients with coronary heart disease is uncertain.
METHODS: We studied patients in an integrated health care delivery system with newly diagnosed coronary heart disease. We developed a model of the risk of death over 2 years of follow-up and then added eGFR to the model and measured changes in C-index, net reclassification improvement, and integrated discrimination improvement.
RESULTS: Almost half of the 31,533 study patients had reduced eGFR (<60 mL/min per 1.73 m(2)). Mortality was significantly higher among patients who had lower levels of eGFR, even after adjustment for baseline characteristics (P < .0001). The addition of eGFR to the prognostic model increased the C-index from 0.837 to 0.843, the net reclassification improvement by 3.2% (P < .0001), and integrated discrimination improvement by 1.3% (P = .007).
CONCLUSION: Estimated glomerular filtration rate is an informative prognostic factor among patients with incident coronary heart disease, independent of other clinical characteristics.
© 2014.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24332146      PMCID: PMC4088948          DOI: 10.1016/j.ahj.2013.10.006

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  25 in total

1.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification.

Authors: 
Journal:  Am J Kidney Dis       Date:  2002-02       Impact factor: 8.860

2.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

3.  PREDICT: A simple risk score for clinical severity and long-term prognosis after hospitalization for acute myocardial infarction or unstable angina: the Minnesota heart survey.

Authors:  D R Jacobs; C Kroenke; R Crow; M Deshpande; D F Gu; L Gatewood; H Blackburn
Journal:  Circulation       Date:  1999-08-10       Impact factor: 29.690

4.  Development and validation of the Ontario acute myocardial infarction mortality prediction rules.

Authors:  J V Tu; P C Austin; R Walld; L Roos; J Agras; K M McDonald
Journal:  J Am Coll Cardiol       Date:  2001-03-15       Impact factor: 24.094

5.  Simple bedside additive tool for prediction of in-hospital mortality after percutaneous coronary interventions.

Authors:  M Moscucci; E Kline-Rogers; D Share; M O'Donnell; A Maxwell-Eward; W L Meengs; P Kraft; A C DeFranco; J L Chambers; K Patel; J G McGinnity; K A Eagle
Journal:  Circulation       Date:  2001-07-17       Impact factor: 29.690

6.  Statin therapy and risks for death and hospitalization in chronic heart failure.

Authors:  Alan S Go; Wendy Y Lee; Jingrong Yang; Joan C Lo; Jerry H Gurwitz
Journal:  JAMA       Date:  2006-11-01       Impact factor: 56.272

7.  "Renalism": inappropriately low rates of coronary angiography in elderly individuals with renal insufficiency.

Authors:  Glenn M Chertow; Sharon-Lise T Normand; Barbara J McNeil
Journal:  J Am Soc Nephrol       Date:  2004-09       Impact factor: 10.121

8.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

Authors:  Alan S Go; Glenn M Chertow; Dongjie Fan; Charles E McCulloch; Chi-yuan Hsu
Journal:  N Engl J Med       Date:  2004-09-23       Impact factor: 91.245

9.  Statin and beta-blocker therapy and the initial presentation of coronary heart disease.

Authors:  Alan S Go; Carlos Iribarren; Malini Chandra; Phenius V Lathon; Stephen P Fortmann; Thomas Quertermous; Mark A Hlatky
Journal:  Ann Intern Med       Date:  2006-02-21       Impact factor: 25.391

10.  Anticoagulation therapy for stroke prevention in atrial fibrillation: how well do randomized trials translate into clinical practice?

Authors:  Alan S Go; Elaine M Hylek; Yuchiao Chang; Kathleen A Phillips; Lori E Henault; Angela M Capra; Nancy G Jensvold; Joe V Selby; Daniel E Singer
Journal:  JAMA       Date:  2003-11-26       Impact factor: 56.272

View more
  1 in total

1.  MicroRNA-1 and Circulating Microvesicles Mediate the Protective Effects of Dantonic in Acute Myocardial Infarction Rat Models.

Authors:  Tingting Sun; Lihua Zhang; Xinxin Li; Fengfei Chen; Yanchuan Li; Xiaohui Ma; Feng Yu
Journal:  Front Physiol       Date:  2018-09-24       Impact factor: 4.566

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.