ArticleClinical kidney journal2015
Acute kidney injury risk assessment at the hospital front door: what is the best measure of risk?
Article in Clinical kidney journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Pooled it
- Kidney health in the COVID-19 pandemic: An umbrella review of meta-analyses and systematic reviews.Frontiers in public health · 2022Pooled it
- The global incidence and mortality of contrast-associated acute kidney injury following coronary angiography: a meta-analysis of 1.2 million patients.Journal of nephrology · 2021Pooled it
- The Combined Effect of High Ambient Temperature and Antihypertensive Treatment on Renal Function in Hospitalized Elderly Patients.PloS one · 2016Trial
- Arfgef3 knockout ameliorates ischemia reperfusion-induced acute kidney injury via mitochondrial dysfunction alleviation in mice.Renal failure · 2025Article
- Acute kidney injury in non-renal medical and surgical admissions in a secondary hospital in Cameroon: recognition and outcomes.The Pan African medical journal · 2025Article
- Health Care Access, Socioeconomic Status, and Acute Kidney Injury Outcomes: A Prospective National Study.Kidney medicine · 2024Article
- Review
- Loop Diuretics Are Associated with Increased Risk of Hospital-Acquired Acute Kidney Injury in Adult Patients: A Retrospective Study.Journal of clinical medicine · 2022Article
- Using electronic AKI alerts to define the epidemiology of acute kidney injury in renal transplants.Journal of nephrology · 2021Article
- Kidney Injury Biomarkers in an Academic Hospital Setting: Where Are We Now?The Clinical biochemist. Reviews · 2019Review
- Identifying on admission patients likely to develop acute kidney injury in hospital.BMC nephrology · 2019Article
- Global epidemiology and outcomes of acute kidney injury.Nature reviews. Nephrology · 2018Review
- Google DeepMind and healthcare in an age of algorithms.Health and technology · 2017Article
- Lysosomal protease cathepsin D; a new driver of apoptosis during acute kidney injury.Scientific reports · 2016Article
- Serum uric acid and AKI: is it time?Clinical kidney journal · 2016Article
Corrections and comments
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Authors and funding
15 authors at 8 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe examined the prevalence of acute kidney injury (AKI) risk factors in the emergency medical unit, generated a modified risk assessment tool and tested its ability to predict AKI.
methodsA total of 1196 patients admitted to medical admission units were assessed for patient-associated AKI risk factors. Subsequently, 898 patients were assessed for a limited number of fixed risk factors with the addition of hypotension and sepsis. This was correlated to AKI episodes.
resultsIn the first cohort, the prevalence of AKI risk factors was 2.1 ± 2.0 per patient, with a positive relationship between age and the number of risk factors and a higher number of risk factors in patients ≥65 years. In the second cohort, 12.3% presented with or developed AKI. Patients with AKI were older and had a higher number of AKI risk factors. In the AKI cohort, 72% of the patients had two or more AKI risk factors compared with 43% of the cohort with no AKI. When age ≥65 years was added as an independent risk factor, 84% of those with AKI had two or more AKI risk factors compared with 55% of those with no AKI. Receiver operating characteristic analysis suggests that the use of common patient-associated known AKI risk factors performs no better than age alone as a predictor of AKI.
conclusionsDetailed assessment of well-established patient-associated AKI risk factors may not facilitate clinicians to apportion risk. This suggests that additional work is required to develop a more sensitive validated AKI-predictive tool that would be useful in this clinical setting.
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Registered trials
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