当前位置:
X-MOL 学术
›
Kidney Int.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Improving the management of chronic kidney disease in primary care by enhancing laboratory reports with additional information and follow-up procedures.
Kidney International ( IF 14.8 ) Pub Date : 2024-09-01 , DOI: 10.1016/j.kint.2024.07.001 Amit X Garg 1 , Ann Young 2
Kidney International ( IF 14.8 ) Pub Date : 2024-09-01 , DOI: 10.1016/j.kint.2024.07.001 Amit X Garg 1 , Ann Young 2
Affiliation
Identifying people at risk for progressive chronic kidney disease and connecting them with recommended care is crucial for providing timely and optimal treatment. The ASSIST-CKD (A programme to Spread eGFR [estimated glomerular filtration rate] graph Surveillance for the early identification, Support and Treatment of people with progressive CKD [chronic kidney disease]) trial evaluated the effect of graphical eGFR reporting to primary care physicians on late presentation to a nephrologist in the United Kingdom. Trial data were obtained from the UK Renal Registry. Although the results were neutral, the data generated from the ASSIST-CKD trial are informative and provide useful estimates of the intervention effect. The trial also provides valuable insights into the challenges of implementing complex interventions in busy health care environments, which can be used to guide the designs of future interventions.
中文翻译:
通过利用附加信息和后续程序增强实验室报告,改善初级保健中慢性肾脏病的管理。
识别有进展性慢性肾脏病风险的人,并为他们提供推荐的护理,对于提供及时和最佳的治疗至关重要。 ASSIST-CKD(一项传播 eGFR [估计肾小球滤过率] 图形监测的计划,旨在早期识别、支持和治疗进行性 CKD [慢性肾病] 患者)试验评估了向初级保健医生报告图形 eGFR 的效果迟到的向英国肾病专家的介绍。试验数据来自英国肾脏登记处。尽管结果是中性的,但 ASSIST-CKD 试验生成的数据信息丰富,可以提供干预效果的有用估计。该试验还为在繁忙的医疗环境中实施复杂干预措施的挑战提供了宝贵的见解,可用于指导未来干预措施的设计。
更新日期:2024-08-27
中文翻译:
通过利用附加信息和后续程序增强实验室报告,改善初级保健中慢性肾脏病的管理。
识别有进展性慢性肾脏病风险的人,并为他们提供推荐的护理,对于提供及时和最佳的治疗至关重要。 ASSIST-CKD(一项传播 eGFR [估计肾小球滤过率] 图形监测的计划,旨在早期识别、支持和治疗进行性 CKD [慢性肾病] 患者)试验评估了向初级保健医生报告图形 eGFR 的效果迟到的向英国肾病专家的介绍。试验数据来自英国肾脏登记处。尽管结果是中性的,但 ASSIST-CKD 试验生成的数据信息丰富,可以提供干预效果的有用估计。该试验还为在繁忙的医疗环境中实施复杂干预措施的挑战提供了宝贵的见解,可用于指导未来干预措施的设计。