Urine microscopy as a biomarker of Acute Kidney Injury following cardiac surgery with cardiopulmonary bypass

被引:0
作者
Goldani, Joao Carlos [1 ,2 ]
Poloni, Jose Antonio [3 ,4 ,5 ]
Klaus, Fabiano [1 ,2 ]
Kist, Roger [1 ,4 ]
Pacheco, Larissa Sgaria [1 ,2 ]
Keitel, Elizete [1 ,2 ,4 ]
机构
[1] Santa Casa Misericerdia Porto Alegre, Dept Nefrol, Porto Alegre, RS, Brazil
[2] Univ Fed Ciencias Saude Porto Alegre, Programa Posgrad Patol, Porto Alegre, RS, Brazil
[3] Santa Casa Misericordia Porto Alegre, Lab Analises Clin Carlos Franco Voegeli, Porto Alegre, RS, Brazil
[4] Univ Fed Ciencias Saude Porto Alegre, Programa Posgrad Ciencias Saude, Porto Alegre, RS, Brazil
[5] Univ Vale Sinos, Escola Saude, Novo Hamburgo, RS, Brazil
来源
JORNAL BRASILEIRO DE NEFROLOGIA | 2020年 / 42卷 / 01期
关键词
Acute Kidney Injury; Thoracic Surgery; Biomarkers;
D O I
10.1590/2175-8239-JBN-2018-0133
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Acute kidney injury (AKI) occurs in about 22% of the patients undergoing cardiac surgery and 2.3% requires renal replacement therapy (RRT). The current diagnostic criteria for AKI by increased serum creatinine levels have limitations and new biomarkers are being tested. Urine sediment may be considered a bio-marker and it can help to differentiate pre-renal (functional) from renal (intrinsic) AKI. Aims: To investigate the microscopic urinalysis in the AKI diagnosis in patients undergoing cardiac surgery with cardiopulmonary bypass. Methods: One hundred and fourteen patients, mean age 62.3 years, 67.5 % male, with creatinine 0.91 mg/dL (SD 0.22) had a urine sample examined in the first 24 h after the surgery. We looked for renal tubular epithelial cells (RTEC) and granular casts (GC) and associated the results with AKI development as defined by KDIGO criteria. Results: Twenty three patients (20.17 %) developed AKI according to the serum creatinine criterion and 76 (66.67 %) by the urine output criterion. Four patients required RRT. Mortality was 3.51 %. The use of urine creatinine criterion to predict AKI showed a sensitivity of 34.78 % and specificity of 86.81 %, positive likelihood ratio of 2.64 and negative likelihood ratio of 0.75, AUC-ROC of 0.584 (95%CI: 0.445-0.723). For the urine output criterion sensitivity was 23.68 % and specificity 92.11 %, AUC-ROC was 0.573 (95%CI: 0.465-0.680). Conclusion: RTEC and GC in urine sample detected by microscopy is a highly specific biomarker for early AKI diagnosis after cardiac surgery.
引用
收藏
页码:18 / 23
页数:6
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