Literature DB >> 22914685

Biomarkers in native and transplant kidneys: opportunities to improve prediction of outcomes in chronic kidney disease.

Sacha A De Serres1, Jay C Varghese, Adeera Levin.   

Abstract

PURPOSE OF REVIEW: Predicting the outcomes of patients with chronic kidney disease (CKD) is important from both patient and healthcare system perspectives. This review examines the current state of conventional and nonconventional biomarkers as noninvasive tools to improve risk-stratification and outcome prediction in CKD. RECENT
FINDINGS: Conventional biomarkers (serum creatinine, urine albumin, and clinical variables such as sex, age, and diabetes) have been the cornerstone of most prediction models for CKD progression to end-stage renal disease (ESRD), and adverse cardiovascular outcomes including death. With better understanding of the pathophysiology of CKD and the evolution of molecular diagnostics, numerous novel or nonconventional markers have emerged. They have been examined individually and in combination to predict specific outcomes. We highlight these markers and studies, conducted primarily in patients with native kidneys. In those with transplant kidneys, markers of both acute and chronic kidney dysfunction have been examined, although to a lesser extent. Similarities and differences in knowledge derived from these two populations are highlighted.
SUMMARY: Improving prediction of outcomes in CKD patients with either native or transplant kidneys remains an important goal. Increasingly sophisticated biomarkers may potentially identify targets for clinical research, improve the nature and timing of therapeutic interventions, and guide resource allocation.

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Year:  2012        PMID: 22914685     DOI: 10.1097/MNH.0b013e32835846e3

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


  6 in total

1.  Strategies to improve the understanding of long-term renal consequences after neonatal acute kidney injury.

Authors:  David J Askenazi; Catherine Morgan; Stuart L Goldstein; David T Selewski; Marva M Moxey-Mims; Paul L Kimmel; Robert A Star; Rosemary Higgins; Matthew Laughon
Journal:  Pediatr Res       Date:  2015-11-23       Impact factor: 3.756

Review 2.  Metabonomic biomarkers for risk factors of chronic kidney disease.

Authors:  Libing Ye; Wei Mao
Journal:  Int Urol Nephrol       Date:  2016-02-20       Impact factor: 2.370

3.  Cardiac Autonomic Neuropathy Predicts All-Cause and Cardiovascular Mortality in Patients With End-Stage Renal Failure: A 5-Year Prospective Study.

Authors:  Dimitrios Doulgerakis; Ioannis Moyssakis; Chris J Kapelios; Ioanna Eleftheriadou; Stamatia Chorepsima; Spyridon Michail; Nikolaos Tentolouris
Journal:  Kidney Int Rep       Date:  2017-03-16

4.  Rapid and Low-Cost CRP Measurement by Integrating a Paper-Based Microfluidic Immunoassay with Smartphone (CRP-Chip).

Authors:  Meili Dong; Jiandong Wu; Zimin Ma; Hagit Peretz-Soroka; Michael Zhang; Paul Komenda; Navdeep Tangri; Yong Liu; Claudio Rigatto; Francis Lin
Journal:  Sensors (Basel)       Date:  2017-03-26       Impact factor: 3.576

5.  Cardiovascular Autonomic Neuropathy and its Association with Cardiovascular and All-cause Mortality in Patients with End-stage Renal Disease.

Authors:  Syed Rizwan A Bokhari; Faisal Inayat; Ali Jawa; Hafeez Ul Hasan Virk; Muhammad Awais; Nadeem Hussain; Ghias Ul Hassan; Hafiz Ijaz Ahmad; Hammad S Chaudhry; Abdullah Adil; Ali Haider; Vincent M Figueredo; Janani Rangaswami; Muhammad Zaman Khan Assir
Journal:  Cureus       Date:  2018-08-31

6.  Association of soluble ST2 with all-cause and cardiovascular mortality in renal transplant recipients: a single-centre cohort study.

Authors:  Paul A Devine; Christopher Cardwell; Alexander P Maxwell
Journal:  BMC Nephrol       Date:  2020-01-28       Impact factor: 2.388

  6 in total

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