Feb. 6, 2013
/PRNewswire-USNewswire/ -- Two biomarkers used in combination can improve risk assessment of acute kidney injury (AKI), according to new research from an international multi-center study. AKI strikes up to seven percent of hospitalized patients and is associated with significant morbidity and mortality.
The results, published today in Critical Care, address one of the most costly and deadly conditions affecting critically ill hospitalized patients. The findings provide much needed insight into the most compelling biomarkers of acute kidney injury.
"If unchecked, AKI can lead to loss of kidney function in a patient, often resulting in lower quality of life or even death," said Dr.
, a critical care physician at UPMC. "The data show that two urinary biomarkers of AKI can tell a doctor if a patient is at risk of kidney injury."
The two-part study collected data on critically ill patients in North American and
In the first part of the study, led by Dr.
of Mayo Clinic, researchers performed an exhaustive evaluation of nearly 340 biomarkers to define the two best biomarkers with the highest correlation to risk of acute kidney injury.
In the second part of the study, led by Dr.
, a critical care physician at UPMC and
, anesthesiologist at The GW Medical Faculty Associates and associate professor of Anesthesiology & Critical Care medicine and of Medicine at The
George Washington University School of Medicine & Health Sciences
, researchers from 35 medical centers validated the effectiveness of the two novel biomarkers in 740 critically ill patients and compared their performance with other biomarkers, including serum creatinine.
- The two novel biomarkers validated were Insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP-2), both inducers of G1 cell cycle arrest, a key mechanism implicated in AKI.
- Together IGFBP7 and TIMP-2 demonstrated an AUC of .80 (0.76 and 0.79, respectively).
- Together IGFBP7 and TIMP-2 were superior to all commonly used markers of AKI (p<0.002), none of which achieved an AUC > 0.72.
"The results are striking not only in terms of identifying new robust markers that have improved performance characteristics when directly compared with existing methods for assessing risk of AKI, but also in terms of bolstering understanding of the mechanism of this disease," said Dr. Chawla.