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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.
Background: Acute kidney injury (AKI) is a common and dangerous malady among patients admitted to ICU. Currently, the diagnosis of AKI relies on the KDIGO criteria currently which lacks diagnostic accuracy owing to multiple reasons; the first being that creatinine fluctuates widely in AKI and changes in fluid shifts and body mass determine the fluctuations. There are many non- GFR determinants of creatinine. Hence, the importance of a better biomarker. Addressing these lacunae several biomarkers have been introduced into the arementarium of AKI, however they are expensive and necessitate the need for a separate test for diagnosis. Kinetic GFR (kGFR) introduces the same parameters that we normally use to assess renal function in a different equation and a different setting. Its advantage is that no separate tests are required other than the ones routinely ordered by the clinician in AKI. Its role in the diagnosis and management of AKI needs to be better defined.
Aim: The aim of this study is to study the association of kGFR in AKI with requirement of renal replacement therapy
Objectives:
1. To determine whether kGFR is superior to current KDIGO criteria at predicting requirement of RRT in those with acute kidney injury by checking sensitivity, specificity, PPV and NPV
Methodology: In this study all patients who are adults>18 years of age, have AKI diagnosed as per the KDIGO definition with at least 3 consecutive creatinine values who are referred to the Nephrology department will be recruited sequentially for the study period of 6 months after an informed consent. Transplant recipient and patients who are already on renal replacement therapy at the time of diagnosis will be excluded. Demographic data, comorbidities, scoring of severity of critical illness using SOFA score (if applicable), duration of ICU and hospital stay, laboratory data in the form of daily values of serum creatinine will be collected. For each patient eGFR will be calculated using a single creatinine value through the CKD-EPI equation and KGFR will be calculated based on creatinine values which are at least 2 values not less than 6 hours apart and not more than 48 hours apart using the Chen equation. Treatment decisions including need for RRT will not be decided based on the values of eGFR or KGFR obtained and patients will be treated as per current standard of care and physician discretion. Each patient will be followed up till day 30 to document MAKE 30 events.
STATISTICAL ANALYSIS:
Descriptive statistics will be reported using Frequency and Percentage for categorical variables. Continuous variables will be reported using Mean ± SD / Median (IQR). Comparison between the groups will be assessed using two sample independent t-test or Mann-Whitney U test after checking for normality for continuous variables. To assess the association between two categorical variables Chi-square/Fisher’s exact test will be used. Logistic regression will be used to examine the effect of MDRD and kGFR on predicting the outcomes. Receiver operating characteristic (ROC) analysis will be used to find the cut-off point and to find the sensitivity and specificity values. p-value <0.05 will be considered statistically significant. Data analysis will be done using Statistical Package for the Social Sciences (SPSS 21.0).
The study is currently underway pending an interim analysis. It is anticipated that the study will demonstrate that kinetic estimated glomerular filtration rate (KeGFR) provides a more accurate and dynamic reflection of renal function in patients with acute kidney injury (AKI) than conventional eGFR equations based on steady-state serum creatinine. By capturing short-term changes in renal function, KeGFR is expected to show better predictive performance for the need for renal replacement therapy (RRT) during hospitalization.
This study is expected to validate that kinetic estimated glomerular filtration rate (KeGFR) serves as a better marker of renal function in patients with acute kidney injury (AKI) compared with conventional, steady-state creatinine-based estimates. KeGFR is anticipated to provide better prognostic discrimination for predicting the need for renal replacement therapy, likelihood of renal recovery, and short-term patient outcomes.
