Abstract

Abstract Funding Acknowledgements None. Background Patients admitted for acute decompensated heart failure (ADHF) are at high risk for type I cardio-renal syndrome (CRS) related to venous congestion and diuretic resistance. Positive fluid balance has been associated with adverse outcomes including acute kidney injury (AKI) and mortality. In critically ill patients urine output (UO) is used both to assess deterioration of renal function as well as for management of fluid balance .We investigated the possible effect of real-time UO monitoring, fluid balance, renal outcomes and 30-day mortality of patients admitted to the cardiac intensive care unit (ICU) with ADHF. Methods We performed a case series of 50 patients admitted to the cardiac ICU from July 2021 and June 2023 with ADHF. Their standard foley catheter was connected to an electronic monitoring system that continuously monitors UO in real-time. Its technology is described elsewhere (1). The UO monitoring system displays UO trends on the consoles that are updated in real-time. UO trends were utilized to guide an individualized approach for the pharmacologic management of each patient, based on blood pressure, hourly UO and total fluid balance. Daily and accumulated fluid balance was registered at up to 72 hours following admission. Patient outcomes included change in fluid balance, incidence of AKI and 30-day mortality. The case series group was than compared to a historical group of 50 matched controlled patients admitted between 2019-2020. Patients were matched according to cause of admission, age and glomerular filtration rate. Results In the study cohort the median age was 71±12 years, and 36 (72%) were men. In the historical cohort the median age was 71±13 years, and 36 (72%) were men. Patients in the electronic urinary monitoring cohort demonstrated significantly more negative daily and cumulative fluid balance as compared to the historical cohort, (P<0.001 for all, Figure 1). Incidence of AKI and the combined endpoint of AKI and 30-day mortality was significantly lower in the electronic UO monitoring cohort (24% vs. 46%, p=0.0197 and 40% vs 78%, P<0.0001 respectively). These changes were more prominent in the subgroup of patients with chronic kidney disease (Figure 2). Conclusion We demonstrated that real time monitoring of UO was associated with better prevention of fluid overload and the management of type I CRS in patients with ADHF. Further studies on larger populations are required to validate the potential utility of UO trending in the management of critically ill patients with ADHF.Fluid balance renal senseAKI and 30-day mortality

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