Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury

Joint Authors

Bell, Max
Larsson, Anders
Venge, Per
Bellomo, Rinaldo
Mårtensson, Johan

Source

Disease Markers

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-03-18

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Diseases

Abstract EN

Purpose.

To assess urinary tissue inhibitor of metalloproteinases-2 and insulin-like growth factor binding protein 7 ([TIMP-2]·[IGFBP7]), urinary neutrophil gelatinase-associated lipocalin (NGAL), and urinary cystatin-C as acute kidney injury predictors (AKI) exploring the association of nonrenal factors with elevated biomarker levels.

Methods.

We studied 94 patients with urine collected within 48 hours of ICU admission and no AKI at sampling.

AKI was defined by the Kidney Disease: Improving Global Outcomes criteria.

Predictive performance was assessed by the area under the receiver operating characteristics (ROC) curve.

Associations between biomarkers and clinical factors were assessed by multivariate linear regression.

Results.

Overall, 19 patients (20%) developed AKI within 48 hours.

[TIMP-2]·[IGFBP7], NGAL, or cystatin-C admission levels did not differ between patients without AKI and patients developing AKI.

[TIMP-2]·[IGFBP7], NGAL, and cystatin-C were poor AKI predictors (ROC areas 0.34–0.51).

Diabetes was independently associated with higher [TIMP-2]·[IGFBP7] levels ( P = 0.02 ) but AKI was not ( P = 0.24 ).

Sepsis was independently associated with higher NGAL ( P < 0.001 ) and cystatin-C ( P = 0.003 ) levels.

Conclusions.

Urinary [TIMP-2]·[IGFBP7], NGAL, and cystatin-C should be used cautiously as AKI predictors in general ICU patients since urine levels of these biomarkers are affected by factors other than AKI and their performance can be poor.

American Psychological Association (APA)

Bell, Max& Larsson, Anders& Venge, Per& Bellomo, Rinaldo& Mårtensson, Johan. 2015. Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury. Disease Markers،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1060864

Modern Language Association (MLA)

Bell, Max…[et al.]. Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury. Disease Markers No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1060864

American Medical Association (AMA)

Bell, Max& Larsson, Anders& Venge, Per& Bellomo, Rinaldo& Mårtensson, Johan. Assessment of Cell-Cycle Arrest Biomarkers to Predict Early and Delayed Acute Kidney Injury. Disease Markers. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1060864

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1060864