@article{article_1768253, title={Clinical Markers Predicting Mortality in Patients Receiving Renal Replacement Therapy in the Intensive Care Unit: A One-Year Retrospective Study}, journal={Kocaeli Üniversitesi Sağlık Bilimleri Dergisi}, volume={11}, pages={171–176}, year={2025}, DOI={10.30934/kusbed.1768253}, author={Alparslan, Volkan and Kutlu, Samet and Güler, Özlem and Ergül, Metin and İzgin Avcı, İpek and Baykara, Nur and Kuş, Alparslan}, keywords={Renal replasman tedavisi, Akut böbrek hasarı, Yoğun bakım}, abstract={Objective: Acute kidney injury (AKI) necessitating continuous renal replacement therapy (CRRT) is linked to elevated mortality rates in the intensive care unit (ICU). Finding prognostic markers affects each person’s care are still very important. The objective of this study was to determine clinical and biochemical predictors of intensive care unit mortality in patients undergoing CRRT. Methods: This retrospective single-center study encompassed 130 adult ICU patients who underwent CRRT from January 2024 to January 2025. For the mortality analysis, patients were divided into two groups: surviving and exitus. For the secondary analysis, they were divided into two groups: early CRRT and late CRRT, based on when they started. Results: The mortality rate in the ICU was 83.8% (n=109). In multivariable logistic regression, a higher SOFA score (OR: 2.18; 95% GA: 1.38–3.45; p=0.001), increased serum creatinine (OR: 0.59; 95% GA: 0.36–0.94; p=0.029), levels were independently linked to mortality. There was no significant difference in mortality between the early (57.7%) and late (42.3%) CRRT initiation groups (p>0.05). The late group, on the other hand, stayed in the ICU and the hospital for a lot longer and got more Prismocal solution (p <0.05). Conclusion: This study identified several clinical and biochemical parameters as independent predictors of mortality in CRRT-treated ICU patients. Although early CRRT initiation did not significantly impact survival, it was associated with reduced use of dialysis solution and shorter ICU and hospital stays. These findings suggest that integrating prognostic markers into clinical decision-making may improve outcome prediction.}, number={3}, publisher={Kocaeli Üniversitesi}, organization={No funding}