ArticleExperimental and therapeutic medicine2017
The level of urinary IL-18 in acute kidney injury after cardiopulmonary bypass.
Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Comparative accuracy of biomarkers for the prediction of hospital-acquired acute kidney injury: a systematic review and meta-analysis.Critical care (London, England) · 2022Pooled it
- Pediatric cardiac surgery associated-acute kidney injury: Interleukin 18 as a new biomarker.World journal of nephrology · 2026Article
- Involvement of Inflammasome Components in Kidney Disease.Antioxidants (Basel, Switzerland) · 2022Review
- Advances in the study of subclinical AKI biomarkers.Frontiers in physiology · 2022Review
- Intraoperative Urinary Biomarkers and Acute Kidney Injury After Cardiac Surgery.Journal of cardiothoracic and vascular anesthesia · 2021Observational
- The Albumin-to-Fibrinogen Ratio Independently Predicts Acute Kidney Injury in Infants With Ventricular Septal Defect Undergoing Cardiac Surgery With Cardiopulmonary Bypass.Frontiers in pediatrics · 2021Article
- Urinary and Serum Biomarkers for Prediction of Acute Kidney Injury in Patients Undergoing Liver Transplantation.Annals of transplantation · 2019Review
- Early prediction of acute kidney injury using serum phosphorus as a biomarker in pediatric cardiac surgical patients.Annals of cardiac anaesthesiaObservational
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigated the diagnostic value of urinary interleukin-18 (uIL-18) in acute kidney injury (AKI) after cardiopulmonary bypass (CPB) in clinical practice. A total of 103 patients who underwent CPB were divided into the AKI group and non-AKI group according to the diagnostic criteria of AKI, and we collected the urine samples before and at 2, 4, 6, 8 and 12 h after CPB and the blood samples before and at 12, 24, 48 and 72 h after CPB for detection of the levels of uIL-18 and urinary neutrophil gelatinase-associated lipocalin (uNGAL) in urine samples and the levels of serum creatinine (Scr) in blood samples, respectively. With the results of detection, we measured the sensitivity and specificity of uIL-18 and uNGAL levels at 2 h after CPB in early diagnosis of AKI using the receiver operating characteristic (ROC) curve and area under curve (AUC). There were a total of 22 patients (21.4%) with AKI. From 12 h after CPB, the level of Scr in the AKI group was significantly elevated, and this increasing trend lasted for 60 h; comparisons with the levels before CPB and in non-AKI group showed that the differences had statistical significance (P<0.05). In AKI group, uIL-18 attained the peak level at 2 h after CPB, and the high level lasted for 10 h; comparisons with the levels before CPB and in non-AKI group showed that the differences had statistical significance (P<0.05); 2 h after CPB, the AUC was 90.48, and when the critical value was set as 1.6 µg/l, the sensitivity and specificity was 90.91 and 91.36%, respectively. Although there was a significant elevation in uNGAL level at 2 h after CPB in the AKI group, the level was dramatically decreased as soon as the peak level was attained at 4 h, and the high level only lasted for 8 h; difference between the level at 2 h after CPB and the level before CPB as well as that in the non-AKI group had statistical significance (P<0.05); at 2 h after CPB, the AUC was 83.25, and when the critical value was set as 100 µg/l, the sensitivity and specificity was, respectively 90.91 and 93.83%. The results indicated that after CPB, the level of uIL-18 shows a more promising diagnostic value in clinical practice than Scr and uNGAL in early diagnosis of AKI.
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