ArticleClinical medicine (London, England)2015
Acute kidney injury.
Article in Clinical medicine (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Machine Learning Models for Point-of-Care Diagnostics of Acute Kidney Injury.Diagnostics (Basel, Switzerland) · 2025Article
- Clinical Assessment of Fluid Status in Adults With Acute Kidney Injury: A Scoping Review.Journal of renal care · 2025Article
- The computerized algorithm for renal assessment improves diagnostic accuracy of renal impairment in hospitalized patients.Scientific reports · 2025Article
- Circular RNA hsa_circ_0005519 contributes to acute kidney injury via sponging microRNA-98-5p.BMC nephrology · 2024Article
- Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.Nature reviews. Nephrology · 2023Review
- Adverse Clinical Outcomes among Inflammatory Bowel Disease Patients Treated for Urinary Tract Infection.Journal of clinical medicine · 2022Article
- Scoping review exploring the impact of digital systems on processes and outcomes in the care management of acute kidney injury and progress towards establishing learning healthcare systems.BMJ health & care informatics · 2021Article
- Circ_0023404 sponges miR-136 to induce HK-2 cells injury triggered by hypoxia/reoxygenation via up-regulating IL-6R.Journal of cellular and molecular medicine · 2021Article
- Circular RNA YAP1 acts as the sponge of microRNA-21-5p to secure HK-2 cells from ischaemia/reperfusion-induced injury.Journal of cellular and molecular medicine · 2020Article
- Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs.Journal of medical Internet research · 2019Article
- Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions.NPJ digital medicine · 2019Article
- Service evaluation of the implementation of a digitally-enabled care pathway for the recognition and management of acute kidney injury.F1000Research · 2017Article
- Google DeepMind and healthcare in an age of algorithms.Health and technology · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney injury (AKI) - an abrupt deterioration in renal function - causes a rise in serum creatinine (SCr) or fall in urine output. It is common, occurring in up to 20% of hospital admissions. Importantly, even small rises in SCr are associated with increased risk of death and longer hospital stays. A 2009 National Confidential Enquiry into Patient Outcome and Death report found that a proportion of AKI in secondary care was avoidable. In addition, management of established AKI was 'good' less than half the time. In practice, AKI represents a heterogeneous group of conditions, encompassing impairments in both kidney structure and function. Delivering disease-specific treatment early in the course of AKI may improve outcomes. The provision of best-practice care for all will rely on a better understanding of risk, and frameworks of care that can be applied across a diverse patient group.
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