Dipal M Patel,C Barrett Bowling,Laura C Plantinga et al.
Dipal M Patel et al.
Cheng Xue,Mingxi Li,Suxia Wang
Cheng Xue
Fangyue Chen,Krit Pongpirul
Fangyue Chen
Digital health technology to support care and improve outcomes of chronic kidney disease patients: as a case illustration, the Withings toolkit health sensing tools [0.03%]
数字技术助力慢性肾病患者护理和改善预后——以Withings健康监测工具为例
Bernard Canaud,Jeroen Kooman,Andrew Davenport et al.
Bernard Canaud et al.
Cardiovascular disease (CVD) is a major burden in dialysis-dependent chronic kidney disease (CKD5D) patients. Several factors contribute to this vulnerability including traditional risk factors such as age, gender, life style and comorbidit...
Impact of cardiac surgery associated acute kidney injury on 1-year major adverse kidney events [0.03%]
心脏手术相关急性肾损伤对一年内主要不良肾脏事件的影响
Alícia Molina Andújar,Victor Joaquin Escudero,Gaston J Piñeiro et al.
Alícia Molina Andújar et al.
Background: The incidence of acute kidney injury following cardiac surgery (CSA-AKI) is up to 30%, and the risk of chronic kidney disease (CKD) has been found to be higher in these patients compared to the AKI-free popula...
Relation of early-stage renal insufficiency and cardiac structure and function in a large population of asymptomatic Asians: a cross-sectional cohort analysis [0.03%]
亚洲大规模无症状人群肾功能不全的早期阶段与心脏结构和功能的关系：横断面队列分析
Pei-Chen Wu,Kuo-Tzu Sung,Jiun-Lu Lin et al.
Pei-Chen Wu et al.
Background: Few studies have addressed early-stage kidney disease and preclinical cardiac structural and functional abnormalities from a large-scale Asian population. Further, the extent to which measures of myocardial fu...
Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal data [0.03%]
基于多模态数据预测血液透析患者的新型冠状病毒感染
Juntao Duan,Hanmo Li,Xiaoran Ma et al.
Juntao Duan et al.
Background: The coronavirus disease 2019 (COVID-19) pandemic has created more devastation among dialysis patients than among the general population. Patient-level prediction models for severe acute respiratory syndrome co...
Systematic review of externally validated machine learning models for predicting acute kidney injury in general hospital patients [0.03%]
一项系统回顾：在普通住院患者中预测急性肾损伤的外部验证机器学习模型
Marina Wainstein,Emily Flanagan,David W Johnson et al.
Marina Wainstein et al.
Acute kidney injury (AKI) is one of the most common and consequential complications among hospitalized patients. Timely AKI risk prediction may allow simple interventions that can minimize or avoid the harm associated with its development. ...
Anthropological perspectives on CKDnt in Mexico: time for a paradigm shift on the social determinants of health [0.03%]
墨西哥人类学视角下的CKDnt：健康社会决定因素范式的转变时机来临了
Ciara Kierans,Cesar Padilla-Altamira
Ciara Kierans
In Mexico, the kidneys of individuals in poor and marginalized communities are failing with little warning and no explanation. Commonly referred to as chronic kidney disease of non-traditional origin (CKDnt), this new variant of kidney dise...
Michele F Eisenga,Gert Mayer,Markus Pirklbauer et al.
Michele F Eisenga et al.