Laura Di Leo's research while affiliated with San Bortolo Hospital and other places

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Publications (1)


Fig. 1. Study flowchart. AKI free probability. 
Fig. 2. a The Kaplan-Meier curves describe the time to kidney injury during ICU stay modeled as a function of Nephrocheck test. AKI definition is based on KDIGO AKI stage 1. b The number of patient at risk and the number of AKI events for each day. c Number of censoring events. 
Fig. 4. Box plots of urinary (TIMP2*IGFBP7) AKIRisk score. Subjects with acute kidney injury had significantly higher (TIMP-2*IGFBP7) test values than subjects without AKI (0.65 vs. 0.28, p = 0.000). 
Predicting Acute Kidney Injury in Intensive Care Unit Patients: The Role of Tissue Inhibitor of Metalloproteinases-2 and Insulin-Like Growth Factor-Binding Protein-7 Biomarkers
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January 2018

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118 Reads

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33 Citations

Blood Purification

Laura Di Leo

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Claudio Ronco

Background: Acute kidney injury (AKI) diagnosis is based on a rise in serum creatinine and/or fall in urine output. It has been shown that there are patients that fulfill AKI definition but do not have AKI, and there are also patients with evidence of renal injury who do not meet any criteria for AKI. Recently the innovative and emerging proteomic technology has enabled the identification of novel biomarkers that allow improved risk stratification. Methods: Tissue inhibitor of metalloproteinases-2 (TIMP-2), insulin-like growth factor-binding protein 7 (IGFBP7) were measured to a cohort of 719 consecutive patients admitted to Intensive Care Unit (ICU). The primary endpoint was the evaluation of clinical performances of the biomarkers focusing on the probability do develop AKI in the first 7 days. Results: The Kaplan-Meier analysis considering the first 7 days of ICU stay suggested a lower risk of developing AKI (p < 0.0001) for patients with a negative (<0.3; TIMP-2*IGFBP7) test. Conclusion: (TIMP-2*IGFBP7) at ICU admission has a good performance in predicting AKI, especially in the first 4 days in ICU.

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Citations (1)


... Particularly, it underestimates GFR in diabetic patients [29] and overestimates it in the elderly compared to other methods like the Cockcroft-Gault formula [30] or 24-h measured creatinine clearance (CrCl) [31]. Recognizing these limitations, physicians have started incorporating other clinical predictors, including AKI biomarkers [32], especially in critical care settings. These biomarkers aid in the timely diagnosis of renal damages, allowing for early intervention to prevent further impairment. ...

Reference:

The Ultrasound Renal Stress Test for the Assessment of Functional Renal Reserve in Kidney Transplantation: A Pilot Study in Living Donors
Predicting Acute Kidney Injury in Intensive Care Unit Patients: The Role of Tissue Inhibitor of Metalloproteinases-2 and Insulin-Like Growth Factor-Binding Protein-7 Biomarkers

Blood Purification