Literature DB >> 26323077

The Authors Reply.

Sharidan K Parr1, Aihua Bian2, Ayumi K Shintani2, Lorraine B Ware3,4, T Alp Ikizler1, Edward D Siew1.   

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Year:  2015        PMID: 26323077      PMCID: PMC4587760          DOI: 10.1038/ki.2015.222

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


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The Authors Reply

We thank Drs. Matthieu and Jerome for their interest[1] in our study[2] and agree that the interpretation of our composite outcome should not be extrapolated to isolated AKI progression. A major goal of our study was to examine whether AKI biomarkers provide overall prognostic information in patients with AKI. We included death in our composite outcome based on its strong association with AKI[3,4] and our hypothesis that proximate effects of evolving renal dysfunction in a prevalent AKI population are more likely to contribute to mortality than be ‘unrelated’. We agree that in certain situations, including unrelated deaths may hamper prognostic accuracy for specific events. The data in our study do not support this concern. For deaths unrelated to kidney dysfunction to decrease power, biomarker concentration would need to be similar to the non-event group. In contrast, we observed that uL-FABP was significantly elevated for each component of our composite (Table 2).[2] We appreciate the authors highlighting the potential utility of competing risk analysis to describe the association between biomarkers and discrete events. While potentially providing more granular information on renal-specific outcomes, this approach may cause loss of power if deaths are related to renal injury. Elevated urine biomarker concentrations in patients who died may also reflect severe renal injury that has not had the opportunity to manifest. We agree that competing risk analyses will be a useful additional tool in assessing prognostic accuracy in future studies,[5,6] particularly when the relationship between death and other outcomes of interest are less well-established. On Behalf of the Authors, Sharidan Parr
  6 in total

Review 1.  Evaluating health outcomes in the presence of competing risks: a review of statistical methods and clinical applications.

Authors:  Ravi Varadhan; Carlos O Weiss; Jodi B Segal; Albert W Wu; Daniel Scharfstein; Cynthia Boyd
Journal:  Med Care       Date:  2010-06       Impact factor: 2.983

2.  Competing risk is better than composite outcome to identify renal biomarker outcome.

Authors:  Matthieu Jamme; Jerome Lambert
Journal:  Kidney Int       Date:  2015-09       Impact factor: 10.612

3.  When do we need competing risks methods for survival analysis in nephrology?

Authors:  Marlies Noordzij; Karen Leffondré; Karlijn J van Stralen; Carmine Zoccali; Friedo W Dekker; Kitty J Jager
Journal:  Nephrol Dial Transplant       Date:  2013-08-24       Impact factor: 5.992

4.  Acute kidney injury, mortality, length of stay, and costs in hospitalized patients.

Authors:  Glenn M Chertow; Elisabeth Burdick; Melissa Honour; Joseph V Bonventre; David W Bates
Journal:  J Am Soc Nephrol       Date:  2005-09-21       Impact factor: 10.121

5.  Incidence and mortality of acute renal failure in Medicare beneficiaries, 1992 to 2001.

Authors:  Jay L Xue; Frank Daniels; Robert A Star; Paul L Kimmel; Paul W Eggers; Bruce A Molitoris; Jonathan Himmelfarb; Allan J Collins
Journal:  J Am Soc Nephrol       Date:  2006-02-22       Impact factor: 10.121

6.  Urinary L-FABP predicts poor outcomes in critically ill patients with early acute kidney injury.

Authors:  Sharidan K Parr; Amanda J Clark; Aihua Bian; Ayumi K Shintani; Nancy E Wickersham; Lorraine B Ware; T Alp Ikizler; Edward D Siew
Journal:  Kidney Int       Date:  2014-09-17       Impact factor: 10.612

  6 in total

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