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      Epidemiology of sepsis-associated acute kidney injury in the ICU with contemporary consensus definitions

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          Abstract

          Background

          The definition of sepsis-associated acute kidney injury (SA-AKI) was updated in 2023. This study aims to describe the epidemiology of SA-AKI using updated consensus definition and to evaluate clinical outcomes.

          Methods

          The study was a retrospective cohort analysis conducted at two academic medical centers. Adult patients admitted to intensive care units (ICU) between 2010 and 2022 were included and categorized as SA-AKI, sepsis alone, or AKI alone. SA-AKI was further classified by time of onset (early < 2 days from sepsis diagnosis vs. late 2–7 days following sepsis diagnosis) and presence of septic shock. Clinical outcomes included hospital mortality and major adverse kidney events (MAKE = death, kidney replacement therapy, or reduced kidney function from baseline) at discharge.

          Results

          187,888 adult ICU patients were included, and SA-AKI was found in nearly half of sepsis patients and about 1 in 6 ICU admissions. 1 in 4 patients with SA-AKI died during hospitalization and 37.7% experienced at least one MAKE by hospital discharge. Compared to sepsis or AKI alone, SA-AKI was associated with higher mortality (adjusted HR 1.59; 95% CI 1.51–1.66) and higher odds of MAKE (adjusted OR 3.35; 95% CI 3.19–3.51). The early clinical phenotype of SA-AKI was most common, with incident AKI decreasing daily from sepsis onset. The presence of septic shock significantly worsened outcomes.

          Conclusions

          Applying updated consensus definitions highlights the high prevalence of SA-AKI in the ICU and its significant associated morbidity and mortality. Outcomes differ based on clinical phenotypes, including the timing of SA-AKI onset and the presence of shock.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13054-025-05351-5.

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          Most cited references27

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          The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

          Definitions of sepsis and septic shock were last revised in 2001. Considerable advances have since been made into the pathobiology (changes in organ function, morphology, cell biology, biochemistry, immunology, and circulation), management, and epidemiology of sepsis, suggesting the need for reexamination.
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            A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

            The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
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              mice: Multivariate Imputation by Chained Equations inR

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                Author and article information

                Contributors
                jneyra@uab.edu
                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                20 March 2025
                20 March 2025
                2025
                : 29
                : 128
                Affiliations
                [1 ]Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, ( https://ror.org/008s83205) Birmingham, AL USA
                [2 ]Department of Health Policy and Informatics, Tokyo Medical and Dental University, ( https://ror.org/051k3eh31) Tokyo, Japan
                [3 ]Department of Pharmacy Practice and Science, University of Kentucky College of Pharmacy, ( https://ror.org/02k3smh20) Lexington, KY USA
                [4 ]Division of Nephrology, Bone & Mineral Metabolism, Department of Internal Medicine, University of Kentucky College of Medicine, ( https://ror.org/02k3smh20) Lexington, KY USA
                [5 ]Public Health Sciences Division, Fred Hutchinson Cancer Center, ( https://ror.org/007ps6h72) Seattle, WA USA
                [6 ]Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, ( https://ror.org/008s83205) Birmingham, AL USA
                [7 ]Department of Internal Medicine, Brookwood Baptist Health, ( https://ror.org/021998h47) Birmingham, AL USA
                [8 ]Departments of Internal Medicine-Nephrology and Pharmacology, The University of Texas Southwestern Medical Center, ( https://ror.org/05byvp690) Dallas, TX USA
                Article
                5351
                10.1186/s13054-025-05351-5
                11924826
                40114218
                421f3cb8-3b84-492a-8095-d2e7767745d4
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 23 November 2024
                : 3 March 2025
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: K23DK128562
                Award Recipient :
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases,United States
                Award ID: R01DK128208
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2025

                Emergency medicine & Trauma
                sepsis-associated acute kidney injury (sa-aki),acute kidney injury (aki),sepsis,epidemiology

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