Title |
Diagnostic value of neutrophil gelatinase-associated lipocalin, cystatin C, and soluble triggering receptor expressed on myeloid cells-1 in critically ill patients with sepsis-associated acute kidney injury
|
---|---|
Published in |
Critical Care, December 2015
|
DOI | 10.1186/s13054-015-0941-6 |
Pubmed ID | |
Authors |
Xingui Dai, Zhenhua Zeng, Chunlai Fu, Sheng’an Zhang, Yeping Cai, Zhongqing Chen |
Abstract |
Neutrophil gelatinase-associated lipocalin (NGAL), cystatin (Cys)-C, and soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) are novel diagnostic biomarkers of acute kidney injury (AKI). We aimed to determine the diagnostic properties of these biomarkers for detecting AKI in critically ill patients with sepsis. We divided 112 septic patients into the non-AKI sepsis (n = 57) and AKI sepsis (n = 55) group. Plasma and urine specimens were collected on admission and every 24 h until 72 h and tested for NGAL, Cys-C, and TREM-1 concentrations. Their levels were compared on admission, at diagnosis and 24 h before diagnosis. Both plasma and urine NGAL, Cys-C and sTREM-1 were significantly associated with AKI development in septic patients, even after adjustment for confounders using generalized estimating equations (GEEs). Compared with the non-AKI sepsis group, the sepsis AKI group exhibited markedly higher levels of these biomarkers at diagnosis and 24 h before AKI diagnosis (P < 0.01). The diagnostic and predictive values of plasma and urine NGAL were good, and those of plasma and urine Cys-C and sTREM-1 were fair. Plasma and urine NGAL, Cys-C, and sTREM-1 can be used as diagnostic and predictive biomarkers for AKI in critically ill patients with sepsis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Puerto Rico | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 91 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 13 | 14% |
Student > Ph. D. Student | 10 | 11% |
Researcher | 10 | 11% |
Student > Bachelor | 9 | 10% |
Student > Master | 7 | 8% |
Other | 15 | 16% |
Unknown | 29 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 43 | 46% |
Agricultural and Biological Sciences | 5 | 5% |
Nursing and Health Professions | 3 | 3% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Veterinary Science and Veterinary Medicine | 2 | 2% |
Other | 10 | 11% |
Unknown | 27 | 29% |