Sepsis-associated acute kidney injury (SA-AKI) is common in critically ill patients and is strongly associated with adverse outcomes, including an increased risk of chronic kidney disease, cardiovascular events and death. The pathophysiology of SA-AKI remains elusive, although microcirculatory dysfunction, cellular metabolic reprogramming and dysregulated inflammatory responses have been implicated in preclinical studies. SA-AKI is best defined as the occurrence of AKI within 7 days of sepsis onset (diagnosed according to Kidney Disease Improving Global Outcome criteria and Sepsis 3 criteria, respectively). Improving outcomes in SA-AKI is challenging, as patients can present with either clinical or subclinical AKI. Early identification of patients at risk of AKI, or at risk of progressing to severe and/or persistent AKI, is crucial to the timely initiation of adequate supportive measures, including limiting further insults to the kidney. Accordingly, the discovery of biomarkers associated with AKI that can aid in early diagnosis is an area of intensive investigation. Additionally, high-quality evidence on best-practice care of patients with AKI, sepsis and SA-AKI has continued to accrue. Although specific therapeutic options are limited, several clinical trials have evaluated the use of care bundles and extracorporeal techniques as potential therapeutic approaches. Here we provide graded recommendations for managing SA-AKI and highlight priorities for future research.
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http://dx.doi.org/10.1038/s41581-023-00683-3 | DOI Listing |
Immun Inflamm Dis
January 2025
The First Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Background: Sepsis and acute respiratory distress syndrome (ARDS) are common inflammatory conditions in intensive care, with ARDS significantly increasing mortality in septic patients. PANoptosis, a newly discovered form of programmed cell death involving multiple cell death pathways, plays a critical role in inflammatory diseases. This study aims to elucidate the PANoptosis-related genes (PRGs) and their involvement in the progression of sepsis to ARDS.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Critical Care Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213000, Jiangsu, China.
Melatonin (Mel) is known for various biological function, such as antioxidant and anti-inflammatory capabilities, as well as its ability to modulate immune responses, which can protect mitochondria and improve the prognosis of sepsis-associated acute kidney injury (SA-AKI). However, there is a multitude of theories regarding how Mel exerts its immune-modulating functions, with no consensus reached as of yet. We propose the protective effects of Mel on mitochondria are closely related to the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway in the immune-inflammatory response.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Critical Care Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Objectives: Sepsis-associated acute kidney injury (SA-AKI) commonly occurs in critically ill patients and is closely associated with adverse outcomes. A comprehensive analysis of the current research landscape in SA-AKI can help uncover trends and key issues in this field. This study aims to provide a scientific basis for research directions and critical issues through bibliometric analysis.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.
View Article and Find Full Text PDFCureus
December 2024
Biotechnology, Shri Venkateshwara University, Gajraula, IND.
Sepsis-associated acute kidney injury (S-AKI) is a critical complication that significantly contributes to the morbidity and mortality of sepsis patients. This narrative review explores the complex and multifactorial pathophysiology of S-AKI, which involves hemodynamic alterations, microcirculatory dysfunction, endothelial damage, inflammatory responses, oxidative stress, and direct tubular injury. Conventional perspectives linking S-AKI primarily to reduced renal blood flow are now being reconsidered, with growing insights highlighting the significance of microcirculatory dysfunction and endothelial activation as key contributors.
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