Anaesthesiology and Critical Care, Walter Sisulu University, Mthatha, Eastern Cape, 5099, South Africa.
Critical Care, University of Pretoria, Pretoria, Gauteng, 0001, South Africa.
F1000Res. 2022 Jun 13;11:642. doi: 10.12688/f1000research.122344.2. eCollection 2022.
Acute kidney injury (AKI) remains a significant cause of morbidity and mortality in hospitalized patients, particularly critically ill patients. It poses a public health challenge in resource-constrained settings due to high administrative costs. AKI is commonly misdiagnosed due to its painless onset and late disruption of serum creatinine, which is the gold standard biomarker for AKI diagnosis. There is increasing research into the use of early biomarkers and the development of predictive models for early AKI diagnosis using clinical, laboratory, and imaging data. This field note provides insight into the challenges of using available AKI prediction models in resource-constrained environments, as well as perspectives that practitioners in these settings may find useful.
急性肾损伤（AKI）仍然是住院患者，尤其是重症患者发病率和死亡率的重要原因。由于行政成本高，在资源有限的情况下，AKI 是一个公共卫生挑战。由于 AKI 无痛发作和血清肌酐延迟中断，AKI 通常被误诊，而血清肌酐是 AKI 诊断的金标准生物标志物。越来越多的研究致力于使用早期生物标志物和使用临床、实验室和影像学数据开发 AKI 早期诊断的预测模型。本领域说明提供了对在资源有限的环境中使用现有 AKI 预测模型的挑战的深入了解，以及这些环境中的从业者可能会发现有用的观点。
