Results 101 to 110 of about 80,331 (267)

Nephrological perspectives on the underutilization of SGLT2is in heart failure and chronic kidney disease

ESC Heart Failure, Volume 12, Issue 2, Page 1490-1491, April 2025.
Özant Helvacı, Ömer Faruk Akçay, Emre Yaşar, Ülver Derici, Galip Güz   +4 more
wiley   +1 more source

Targeting Renal IGFBP7 With Tetrahedral Framework Nucleic Acid‐Delivered siRNA Alleviates Acute Kidney Injury

iNew Medicine, EarlyView.
A tFNA‐based siRNA delivery system targeting IGFBP7 effectively silences IGFBP7 expression and attenuates renal dysfunction, tubular injury, and cell death in both septic (CLP) and ischemic (I/R) murine models of acute kidney injury. ABSTRACT Acute kidney injury (AKI) is a common and serious clinical condition, yet effective targeted therapies remain ...
Shao‐qi Wu, Ying‐ying Gao, Meng‐yi Jia, Yu‐Hao Liu, Qian Zhou, Dong Liu, Yu Ren, Yu‐jie Liu, Feng‐he Li, Ya‐ru Yang, Jie Wang, Jia‐gen Wen   +11 more
wiley   +1 more source

Mixed lineage kinase 3 mediates SARS‐CoV‐2‐induced kidney injury via the Hsp70‐IL‐17A axis

Interdisciplinary Medicine, EarlyView.
Kidney samples from patients infected with severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) showed upregulated expression and activity of Mixed Lineage Kinase (MLK3). Based on the mechanistic studies, we identified MLK3 as a critical player in promoting SARS‐CoV‐2‐induced kidney injury.
Sandeep Kumar, Sunil Kumar Singh, Piush Srivastava, Sowdhamini Mahendiran, Rakesh Sathish Nair, Harsh Vyas, Saket Jha, Niraj Nag, Navin Viswakarma, Hitesh Kapoor, Swathi Suresh, Periannan Sethupathi, Sang‐Ging Ong, Jerrold S. Levine, Suman Setty, Mathayan Manikannan, Bellur S. Prabhakar, Basabi Rana, Ajay Rana   +18 more
wiley   +1 more source

Normothermic Machine Perfusion vs. Static Cold Storage for DBD Liver Transplantation in High‐MELD Recipients: A Single‐Center Retrospective Study

Journal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
ABSTRACT Background and Purpose While normothermic machine perfusion (NMP) has benefits over static cold storage (SCS), its efficacy in high‐acuity recipients with high Model for End‐Stage Liver Disease (MELD) scores, particularly using a back‐to‐base application model, is not well established.
Yuzuru Sambommatsu, Daisuke Imai, Kush Savsani, Mallika Datta, Junpei Tarashi, Jacob Hallesy, Samuel Wolfe, Isao Yokota, Seung Duk Lee, David A. Bruno   +9 more
wiley   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Neutrophil gelatinase-associated lipocalin as a predictive biomarker of acute kidney injury in COVID-19 infection: A systematic review and meta-analysis

Journal of Family Medicine and Primary Care
Background: Coronavirus 2019 (COVID-19) is an infectious disease caused by a novel coronavirus, SARS-CoV-2. Acute kidney injury (AKI) affects approximately 20–40% of patients with COVID-19 admitted to the intensive care unit (ICU), and it is a ...
Puja Dey, Nilanjan Mal, Rashmi Sinha, Amit Kumar, Pramod Kumar, Usha Saroj, Partha Kumar Chaudhuri, Mani Bhushan Kumar Sinha, Rishi Guria, Brajesh Mishra, Manohar Lal Prasad, Divakar Kumar, Satish Kumar, Manoj Kumar Prasad   +13 more
doaj   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

The Role of Acetaminophen Use in Acute Kidney Injury Prevention in Cardiac Surgery: A Systematic Review and Meta-Analysis

Annals of Cardiac Anaesthesia
Acute kidney injury (AKI) is a common complication following cardiac surgery, often leading to increased morbidity and mortality. Despite its prevalence, the role of acetaminophen in preventing AKI after cardiac surgery remains uncertain.
Luis E. Ciconini, Victor Perim, Theodoro Beck, Mauren F. Carbonar, Mazpa M. Ejikem, Ahmed Zaky, Javier Neyra, Andre F. Gosling   +7 more
doaj   +1 more source

The impact of a vancomycin intervention on vancomycin‐associated nephrotoxicity in children: a quality improvement initiative

Journal of Pharmacy Practice and Research, EarlyView.
Abstract Background Vancomycin is first‐line treatment for methicillin‐resistant Staphylococcus aureus (MRSA) infections. However, despite guideline recommendations, there is no evidence that targeting vancomycin trough concentrations of ≥15 mg/L in children confers clinical benefit and is associated with vancomycin‐associated nephrotoxicity (VAN ...
Megan R. Nettleton, Hwi‐Eun Mary Shim, Joanne Abbotsford, Zoy Goff, Briony Hazelton, Matthew O'Brien, Tenielle Porter, Thomas Snelling, Daniel K. Yeoh, Asha C. Bowen, Christopher C. Blyth, Anita J. Campbell   +11 more
wiley   +1 more source

Csoba J., Sipos F. (szerk.) (2021): Co-creation a közszolgáltatások modernizációjában Lokális szolgáltatásfejlesztési kísérletek a közös alkotás módszerével (Debreceni Egyetemi Kiadó, p. 237)

Tér és Társadalom, 2022
Rácz Katalin
doaj   +1 more source