2024, Number 6
Modified renal angina as a predictor of acute kidney injury in critically ill patients in the Intensive Care Unit
Rocha BE, Queb PNM, Gaytán GCJ, Aguirre SJS, Martínez DBA
Language: Spanish
References: 11
Page: 503-509
PDF size: 294.19 Kb.
ABSTRACT
Introduction: acute kidney injury (AKI) is defined by a sudden loss of excretory renal function, its management in critical care settings is challenging, with a poor prognosis. The renal angina index (RAI) is a tool that incorporates clinical parameters within the first day of admission, grouped into two categories: risk and injury. It has been validated in the pediatric population to help stratify the risk of AKI at three days after admission to the intensive care unit. In a subanalysis of clinical studies, modifications were made to the risk category for its applicability. Objectives: to determine the modified renal angina index (mRAI) as a predictor of AKI in critically ill patients admitted to the Intensive Care Unit (ICU). Material and methods: a retrospective, single-center cohort study. It was carried out in patients who were admitted to intensive care without AKI, baseline creatinine and 24 hours later were taken. The mRAI was calculated, and statistical analysis included percentages, means, chi-square test, relative risk, confidence interval for relative risk, calculation of sensitivity, specificity, and area under the curve. Results: the mRAI showed good performance with the occurrence of AKI with AUC of 0.88 (95%CI: 0.80 to 0.95). In the group with mRAI greater than 7, the prevalence of acute kidney injury was 75.5%, and in the group with mRAI less than 7, the prevalence of acute kidney injury was 15.4% (p = 0.001). For every 4.90 patients with a renal angina index greater than 7 who present acute kidney injury, there is one patient with a renal angina index less than 7 who also presents AKI. Conclusions: in our study, we found that an mRAI greater than 7, as reported in the literature, is a predictor of AKI, being a useful, simple, applicable and economical index, allowing to anticipate fatal outcomes and complications.REFERENCES