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AKI causes high mortality and morbidity, especially in critically ill patients, and prolongs the patient's stay in the intensive care unit. Due to the high morbidity and mortality associated with AKI, many researchers are studying several new biomarkers for earlier detection of AKI, determination of etiologies, and prediction of outcomes. However, the use of these new biomarkers may be limited due to reimbursement issues. In addition to the therapeutic role of furosemide in fluid balance, blood pressure control, and hypercalcemia management, Chawla et al. recommend the furosemide stress test (FST) as a tool to predict AKI progression. Designing a test that predicts the probability of AKI progression will help us make better decisions regarding the optimal timing of RRT initiation. In this study, we aimed to evaluate the feasibility of using the FST test in determining the progression of AKI in patients hospitalized in the intensive care unit and the need for RRT using the noninvasive procedure furosemide stress test.
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Acute kidney injury is defined by the KDIGO guidelines as an increase in serum creatinine ≥0.3 mg/dL (≥26.5 μmol/L) within the previous 48 hours, a ≥1.5-fold increase in serum creatinine from baseline that is known or presumed to have occurred within the previous seven days, or a urine volume of <0.5 mL/kg/h over six hours. In addition to the therapeutic role of furosemide in fluid balance, blood pressure control, and management of hypercalcemia, Chawla et al. recommend the furosemide stress test (FST) as a tool to predict AKI progression . Patients who develop AKI often require renal replacement therapy (RRT), but there is often no consensus on the optimal timing of initiation of RRT. RRT is an invasive procedure. The goal in AKI patients is to restore kidney function to normal without invasive intervention. However, a more conservative approach to starting RRT during the course of AKI may expose the patient to adverse outcomes. Therefore, designing a test that predicts the possibility of more severe AKI progression will help us make better decisions about the optimal timing of starting RRT. Albumin, sodium, potassium, chloride, magnesium, creatinine, glomerular filtration rate, urea and venous blood gases will be studied from the residual blood of the patients before FST. Creatinine, sodium, potassium, urea and microalbumin levels will be studied in the spot urine of the patients from the residual urine before FST. Fractional sodium-urea levels will be calculated with these results. The total urine volume will be calculated by collecting the 1st and 2st hour urines separately after FST and also the Na concentration will be measured from these urine samples. Systolic, diastolic and mean blood pressure levels obtained from the right arm with a noninvasive method (with a cuff) at the time of FST will be noted. In addition, persistent AKI risk index (PERSANT AKI risk index (PARI)), eGFR and kinetic GFR will be calculated and noted simultaneously with FST. Demographic data of the patients will be obtained from the hospital system. The lowest creatinine level in the last 6 months before application of the patients accepted to the study will be accepted as the basal creatinine level. If the creatinine level taken in the last 6 months cannot be reached, the lowest creatinine level reached before application will be accepted as the basal creatinine level.
Among the patients included in the study, 1 mg/kg furosemide will be administered to patients who have not used furosemide in the last 7 days within the first 24 hours following ICU admission, and 1.5 mg/kg furosemide will be administered intravenously as a push in patients exposed to furosemide. Patients who can pass 200 ml or more urine within the first 2 hours after furosemide application will be evaluated as positive for furosemide stress test.
Progression from AKI stage 1-2 to AKI stage 3 within 14 days after FST, need for RRT, total intensive care unit stay, development of persistent acute kidney injury (PAKi), number of RRT-independent days, renal recovery time and all-cause mortality will be evaluated
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140 participants in 1 patient group
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gürhan T taşkın, Associate Professor; mete e erdemir, intensive care specialist
Data sourced from clinicaltrials.gov
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