日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Machine learning prediction of moderate-to-severe acute kidney injury after ICU admission and cardiac surgery with urine trace elements

利用尿液微量元素进行机器学习预测ICU入院及心脏手术后中重度急性肾损伤

Chen, Yang; Gue, Ying; Lip, Gregory Y H; Gardner, David S; Devonald, Mark A J

Long-acting injectable cabotegravir and rilpivirine in observational cohort studies: A systematic review on virological failure, resistance and re-suppression outcomes in virally suppressed individuals living with HIV

在观察性队列研究中,长效注射用卡博特韦和利匹韦林治疗HIV感染者病毒学抑制后病毒学失败、耐药性和再次抑制结局的系统评价

Ring, Kyle; Elias, Alexa; Devonald, Megan; Smuk, Melanie; Orkin, Chloe

Urinary Trace Elements Are Biomarkers for Early Detection of Acute Kidney Injury

尿液微量元素是急性肾损伤早期检测的生物标志物

Gardner, David S; Allen, Jennifer C; Goodson, Deborah; Harvey, Daniel; Sharman, Andrew; Skinner, Henry; Szafranek, Adam; Young, John S; Bailey, Elizabeth H; Devonald, Mark A J

Disrupted education trajectories: Exploring the effects of Covid-19 on adolescent learning and priorities for "building back better" education systems in Ethiopia

教育轨迹受阻:探究新冠疫情对埃塞俄比亚青少年学习的影响以及“重建更美好未来”教育体系的优先事项

Jones, Nicola; Devonald, Megan; Dutton, Rebecca; Baird, Sarah; Yadete, Workneh; Gezahegne, Kiya

Hyperosmolar dehydration: A predictor of kidney injury and outcome in hospitalised older adults

高渗性脱水:老年住院患者肾损伤和预后的预测因素

El-Sharkawy, Ahmed M; Devonald, Mark A J; Humes, David J; Sahota, Opinder; Lobo, Dileep N

Definition of hourly urine output influences reported incidence and staging of acute kidney injury

每小时尿量的定义会影响急性肾损伤的报告发生率和分期。

Allen, Jennifer C; Gardner, David S; Skinner, Henry; Harvey, Daniel; Sharman, Andrew; Devonald, Mark A J

Renal function monitoring in heart failure - what is the optimal frequency? A narrative review

心力衰竭患者肾功能监测——最佳监测频率是多少?一篇叙述性综述

Al-Naher, Ahmed; Wright, David; Devonald, Mark Alexander John; Pirmohamed, Munir

Acute and chronic kidney disease in elderly patients with hip fracture: prevalence, risk factors and outcome with development and validation of a risk prediction model for acute kidney injury

老年髋部骨折患者急性及慢性肾脏疾病:患病率、危险因素及预后,并建立和验证急性肾损伤风险预测模型

Porter, Christine J; Moppett, Iain K; Juurlink, Irene; Nightingale, Jessica; Moran, Christopher G; Devonald, Mark A J

Remote conditioning or erythropoietin before surgery primes kidneys to clear ischemia-reperfusion-damaged cells: a renoprotective mechanism?

手术前远程调节或促红细胞生成素可促使肾脏清除缺血再灌注损伤的细胞:一种肾保护机制?

David S Gardner, Simon J M Welham, Louise J Dunford, Thomas A McCulloch, Zsolt Hodi, Philippa Sleeman, Saoirse O'Sullivan, Mark A J Devonald

Nanotechnology tracks to the renal ward

纳米技术正应用于肾脏病房

Gardner, David S; Welham, Simon J M; Devonald, Mark A J