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Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass.

ABSTRACT: Novel acute kidney injury (AKI) biomarkers offer promise of earlier diagnosis and risk stratification, but have yet to find widespread clinical application. We measured urinary ? and ? glutathione S-transferases (?-GST and ?-GST), urinary l-type fatty acid-binding protein (l-FABP), urinary neutrophil gelatinase-associated lipocalin (NGAL), urinary hepcidin and serum cystatin c (CysC) before surgery, post-operatively and at 24?h after surgery in 93 high risk patient undergoing cardiopulmonary bypass (CPB) and assessed the ability of these biomarkers alone and in combination to predict RIFLE-R defined AKI in the first 5 post-operative days. Twenty-five patients developed AKI. ?-GST (ROCAUC?=?0.75), lower urine Hepcidin:Creatine ratio at 24?h (0.77), greater urine NGAL:Cr ratio post-op (0.73) and greater serum CysC at 24?h (0.72) best predicted AKI. Linear combinations with significant improvement in AUC were: Hepcidin:Cr 24?h?+?post-operative ?-GST (AUC?=?0.86, p?=?0.01), Hepcidin:Cr 24?h?+?NGAL:Cr post-op (0.84, p?=?0.03) and CysC 24?h?+?post-operative ?-GST (0.83, p?=?0.03), notably these significant biomarkers combinations all involved a tubular injury and a glomerular filtration biomarker. Despite statistical significance in receiver-operator characteristic (ROC) analysis, when assessed by ability to define patients to two groups at high and low risk of AKI, combinations failed to significantly improve classification of risk compared to the best single biomarkers. In an alternative approach using Classification and Regression Tree (CART) analysis a model involving NGAL:Cr measurement post-op followed by Hepcidin:Cr at 24?h was developed which identified high, intermediate and low risk groups for AKI. Regression tree analysis has the potential produce models with greater clinical utility than single combined scores.

SUBMITTER: Prowle JR

PROVIDER: S-EPMC4544762 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

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Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass.

Prowle John Richard JR Calzavacca Paolo P Licari Elisa E Ligabo E Valentina EV Echeverri Jorge E JE Bagshaw Sean M SM Haase-Fielitz Anja A Haase Michael M Ostland Vaughn V Noiri Eisei E Westerman Mark M Devarajan Prasad P Bellomo Rinaldo R

Renal failure 20150114 3

Novel acute kidney injury (AKI) biomarkers offer promise of earlier diagnosis and risk stratification, but have yet to find widespread clinical application. We measured urinary α and π glutathione S-transferases (α-GST and π-GST), urinary l-type fatty acid-binding protein (l-FABP), urinary neutrophil gelatinase-associated lipocalin (NGAL), urinary hepcidin and serum cystatin c (CysC) before surgery, post-operatively and at 24 h after surgery in 93 high risk patient undergoing cardiopulmonary byp ...[more]

PMID: 25585949

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Project description:ObjectivesThe study objectives were to describe the incidence, risk factors, and outcomes of acute kidney injury after cardiopulmonary bypass in Jamaica.MethodWe performed a review of the medical records of adult patients (aged ≥ 18 years) with no prior dialysis requirement undergoing cardiopulmonary bypass at the University Hospital of the West Indies, Mona, between January 1, 2016, and June 30, 2019. Demographic, preoperative, intraoperative, and postoperative data were abstracted. Acute kidney injury was defined using Kidney Disease Improving Global Outcomes criteria. The primary outcomes were acute kidney injury incidence and all-cause 30-day mortality. Multivariable logistic regression and Cox proportional analyses were used to examine the association between the acute kidney injury risk factors and the primary outcome.ResultsData for 210 patients (58% men, mean age 58.1 ± 12.9 years) were analyzed. Acute kidney injury occurred in 80 patients (38.1%), 44% with Kidney Disease Improving Global Outcomes I, 33% with Kidney Disease Improving Global Outcomes II, and 24% with Kidney Disease Improving Global Outcomes III. From multivariable logistic regression models, European System for Cardiac Operative Risk Evaluation II (odds ratio, 1.19; 95% confidence interval, 1.01-1.39 per unit), bypass time (odds ratio, 1.94; 95% confidence interval, 1.40-2.67 per hour), perioperative red cell transfusion (odds ratio, 3.03; 95% confidence interval, 1.36-6.76), and postoperative neutrophil lymphocyte ratio (odds ratio, 1.65; 95% confidence interval, 1.01-2.68 per 10-unit difference) were positively associated with acute kidney injury. Acute kidney injury resulted in greater median hospital stay (18 vs 11 days, P < .001) and intensive care unit stay (5 vs 3 days, P < .001), and an 8-fold increase in 30-day mortality (hazard ratio, 8.15; 95% confidence interval, 2.76-24.06, P < .001).ConclusionsAcute kidney injury after cardiopulmonary bypass surgery occurs frequently in Jamaica and results in poor short-term outcomes. Further studies coupled with quality interventions to reduce the mortality of those with acute kidney injury are needed in the Caribbean.

Project description:Cardiopulmonary bypass triggers systemic inflammation, resulting in lung injury, and frequently leads to prolonged mechanical ventilation. Biomarkers of systemic inflammation are required to predict the risk of such complications. We hypothesize that specific serum proteins can be used as biomarkers to predict the severity of lung injury following cardiac surgery.DesignRetrospective chart review study.SettingClinical variables were collected and used in conjuncture with unbiased proteomic analysis using mass spectrometry that was performed on frozen plasma samples from a study group (patients with mechanical ventilation > 48 hr post surgery) and a control group (patients with mechanical ventilation < 48 hr post surgery).SubjectsSubjects included were infants who underwent cardiac surgery with similar complexity (Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery 3 or 4) using cardiopulmonary bypass. Patients in both groups were matched for their weight, age, and duration of cardiopulmonary bypass.InterventionNone.Measurements and main resultsFour-hundred eighty-three proteins were identified (99% minimum confidence and two peptides minimum, protein false discovery rate 0.1%) on proteomic analysis of four control and four study patients at precardiopulmonary bypass, 0, and 48 hours postcardiopulmonary bypass samples. Thirty-six of 178 proteins were significantly different (≥ 1.5-fold; p < 0.05) at precardiopulmonary bypass (top increased: tenascin; top decreased: tetranectin), 18 of 140 proteins at 0 hour (top increased: hemoglobin beta; top decreased: C8 beta), and 25 of 166 proteins at 48 hours post surgery (top increased: proteoglycan 4; top decreased: galectin-3-binding protein). The top pathway involved cytoskeleton remodeling. Other pathways involved immune response and blood coagulation. Proteoglycan 4 was validated by enzyme-linked immunosorbent assay in a different set of samples (n = 20/group; mean ± sd: 128 ± 67 vs 195 ± 160 ng/mL) (p = 0.037).ConclusionsMultiple proteomic biomarkers were associated with worse respiratory outcomes. Precardiopulmonary bypass biomarkers might indicate risk factors (e.g., abnormalities of coagulation), whereas those identified at 0 hour and post cardiopulmonary bypass may reflect mechanisms of ongoing pathobiology.

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Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass.

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Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass.

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