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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Acute kidney injury (AKI) is considered an independent factor for increase mortality, morbidity and hospital stay. Since 2012 that KDIGO propose its classification, we consider KDIGO 3 a critically ill patient, that if the requirement for CRRT is met, the patient probably is in ICU by then. The use of CRRT as well as predictors for renal recovery and for the suspension of CRRT have not been well stablish, this is the reason we decided to create this study. If we can find renal recovery factors that would help us predict that the patient will return to the basal glomerular filtration rate previous the CRRT or to < 2 mg/dl of creatine compared to the measured in admission, we may help determine the prognosis of the patients.
Patients data was deidentified for statistical analysis. Frequencies and percentages were used to describe categorical variables. Normality of numerical variables were assessed using Kolmogorov-Smirnov test. For quantitative variables central tendency and dispersion were reported. The comparison of means and medians was carried out with T-student and Wilcoxon for paired samples according to the distribution of the data. Categorical variables were compared using Pearson's Chi square tests or Fisher's exact tests. A logistic regression was performed and the prognostic performance for the prediction of recovery of renal function was determined using the area under the curve (AUC).
A total of 39 patients were analyzed (Table 1), divided into two groups, patients with renal recovery and non-renal recovery. Of the total n, 30 (77%) were men; mean age 66 (±13). 1 (2.6%) had CKD, 8 (21%) had heart disease. And 14 (36%) had systemic arterial hypertension. Of the renal recovery group, 5 (26%) had DM2, while 3 (15%) of the non-renal recovery group. In the renal recovery group, the days of CRRT were 3 (±3) and in the non-renal recovery group they were 6 (±7). Of the variables measured by groups (Table 2), BUN at 24 hours from the start of CRRT was 58 (± 26) with a significant p of 0.04 and urine output at 24 hours was 115 (± 237) with a significant p of 0.017. were positive to predict renal recovery. However, albumin and creatinine were also analyzed with non-significant results.
The literature recognizes urinary output (UO) as an indicator of cessation of CRRT, as well as a probable predictor of renal recovery, however we have found that not only UO, but also BUN 24 hours after starting CRRT could be a predictor of renal recovery. More studies are necessary to evaluate predictive factors in critically ill patients such as the ones in the intensive care unit, who have developed AKI KDIGO 3 with a requirement and indication for continuous renal replacement. Since these factors can impact not only the prognosis, but also the management and treatment, further studies are required.
