Literature DB >> 22449944

Advances in the use of multimarker panels for renal risk stratification.

Cristin C Weekley1, Carmen A Peralta.   

Abstract

PURPOSE OF REVIEW: This review discusses novel studies in the past year that have examined the use of combinations of multiple markers to improve risk prediction in the setting of chronic kidney disease (CKD). We will focus on multimarker panels to: improve prediction of CKD onset; improve classification of CKD and risk stratification of persons with CKD; and develop individual-level risk scores for progression to end-stage renal disease (ESRD). RECENT
FINDINGS: One study reported that several novel circulation biomarkers may aid in predicting incident CKD and microalbuminuria. Second, our group has shown that the combination of creatinine, cystatin C, and albuminuria improves detection and risk stratification for death, heart failure, cardiovascular events, and ESRD compared with creatinine alone. Finally, a highly accurate individual risk score was developed to predict progression to ESRD using readily available clinical markers.
SUMMARY: The combination of multiple markers improves detection and risk stratification in CKD. Future research is needed in understanding the use of a 'renal panel' for detection, classification, and risk stratification in kidney disease in diverse populations. The studies presented here represent the beginning of a paradigm shift to multimarker panels in nephrology.

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Year:  2012        PMID: 22449944      PMCID: PMC3353750          DOI: 10.1097/MNH.0b013e328352132d

Source DB:  PubMed          Journal:  Curr Opin Nephrol Hypertens        ISSN: 1062-4821            Impact factor:   2.894


  31 in total

Review 1.  Presentation of multivariate data for clinical use: The Framingham Study risk score functions.

Authors:  Lisa M Sullivan; Joseph M Massaro; Ralph B D'Agostino
Journal:  Stat Med       Date:  2004-05-30       Impact factor: 2.373

2.  The reasons for geographic and racial differences in stroke study: objectives and design.

Authors:  Virginia J Howard; Mary Cushman; Leavonne Pulley; Camilo R Gomez; Rodney C Go; Ronald J Prineas; Andra Graham; Claudia S Moy; George Howard
Journal:  Neuroepidemiology       Date:  2005-06-29       Impact factor: 3.282

3.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

4.  Cystatin C and the risk of death and cardiovascular events among elderly persons.

Authors:  Michael G Shlipak; Mark J Sarnak; Ronit Katz; Linda F Fried; Stephen L Seliger; Anne B Newman; David S Siscovick; Catherine Stehman-Breen
Journal:  N Engl J Med       Date:  2005-05-19       Impact factor: 91.245

5.  Cystatin C and albuminuria as risk factors for development of CKD stage 3: the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Shani Shastri; Ronit Katz; Michael G Shlipak; Bryan Kestenbaum; Carmen A Peralta; Holly Kramer; David R Jacobs; Ian H de Boer; Mary Cushman; David Siscovick; Mark J Sarnak
Journal:  Am J Kidney Dis       Date:  2011-02-05       Impact factor: 8.860

6.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

Review 7.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

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.  Predictors of new-onset kidney disease in a community-based population.

Authors:  Caroline S Fox; Martin G Larson; Eric P Leip; Bruce Culleton; Peter W F Wilson; Daniel Levy
Journal:  JAMA       Date:  2004-02-18       Impact factor: 56.272

10.  Genetic association for renal traits among participants of African ancestry reveals new loci for renal function.

Authors:  Ching-Ti Liu; Maija K Garnaas; Adrienne Tin; Anna Kottgen; Nora Franceschini; Carmen A Peralta; Ian H de Boer; Xiaoning Lu; Elizabeth Atkinson; Jingzhong Ding; Michael Nalls; Daniel Shriner; Josef Coresh; Abdullah Kutlar; Kirsten Bibbins-Domingo; David Siscovick; Ermeg Akylbekova; Sharon Wyatt; Brad Astor; Josef Mychaleckjy; Man Li; Muredach P Reilly; Raymond R Townsend; Adebowale Adeyemo; Alan B Zonderman; Mariza de Andrade; Stephen T Turner; Thomas H Mosley; Tamara B Harris; Charles N Rotimi; Yongmei Liu; Sharon L R Kardia; Michele K Evans; Michael G Shlipak; Holly Kramer; Michael F Flessner; Albert W Dreisbach; Wolfram Goessling; L Adrienne Cupples; W Linda Kao; Caroline S Fox
Journal:  PLoS Genet       Date:  2011-09-08       Impact factor: 5.917

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  4 in total

1.  Urinary excretion of epidermal growth factor and rapid loss of kidney function.

Authors:  Jon Viljar Norvik; Laura R Harskamp; Viji Nair; Kerby Shedden; Marit D Solbu; Bjørn O Eriksen; Matthias Kretzler; Ron T Gansevoort; Wenjun Ju; Toralf Melsom
Journal:  Nephrol Dial Transplant       Date:  2021-09-27       Impact factor: 5.992

2.  Plasma endostatin predicts kidney outcomes in patients with type 2 diabetes.

Authors:  Kinsuk Chauhan; Divya Anna Verghese; Veena Rao; Lili Chan; Chirag R Parikh; Steven G Coca; Girish N Nadkarni
Journal:  Kidney Int       Date:  2018-12-24       Impact factor: 10.612

3.  Relation of multi-marker panel to incident chronic kidney disease and rapid kidney function decline in African Americans: the Jackson Heart Study.

Authors:  Stanford E Mwasongwe; Bessie Young; Aurelian Bidulescu; Mario Sims; Adolfo Correa; Solomon K Musani
Journal:  BMC Nephrol       Date:  2018-09-20       Impact factor: 2.388

4.  Predictive usefulness of urinary biomarkers for the identification of cyclosporine A-induced nephrotoxicity in a rat model.

Authors:  Carla Patrícia Carlos; Nathália Martins Sonehara; Sonia Maria Oliani; Emmanuel A Burdmann
Journal:  PLoS One       Date:  2014-07-29       Impact factor: 3.240

  4 in total

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