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The Furosemide Stress Test: A Dynamic Tool for Predicting Acute Kidney Injury Progression in Critical Care Medicine
Luigi La Via1, Giuseppe Cuttone2, Nicola Sinatra3
1Department of Anesthesia and Intensive Care 1, University Hospital Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.
Abstract:
Acute kidney injury (AKI) remains a significant challenge in critical care medicine, affecting up to 50% of intensive care unit patients with substantial mortality rates. While traditional approaches to AKI assessment rely on static measurements like serum creatinine and urine output, the furosemide stress test (FST) has emerged as a dynamic functional tool for evaluating renal tubular function and predicting AKI progression. This comprehensive review examines the historical development, physiological basis, technical aspects, and clinical applications of FST in various patient populations. Originally developed and validated in 2013, FST has demonstrated superior predictive capabilities for AKI progression and the need for renal replacement therapy compared to conventional biomarkers. The test's mechanism relies on assessing the kidney's response to a standardized furosemide challenge, providing insights into both the structural integrity and functional reserve of the renal tubular system. Standardized protocols have been established for different clinical scenarios, though implementation challenges remain, including timing considerations, patient selection, and resource requirements. FST has shown utility in critical care, post-cardiac surgery, sepsis-associated AKI, and heart failure settings. Recent developments include integration with artificial intelligence, personalized medicine approaches, and combination with novel biomarkers. While limitations exist, including contraindications and technical challenges, ongoing research continues to refine protocols and expand applications. This review highlights FST's role as a valuable prognostic tool in modern AKI management and discusses future directions, including automated monitoring systems, protocol standardization efforts, and potential applications in different patient populations.
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