首页> 外文期刊>Clinical kidney journal. >A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery
【24h】

A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery

机译:一种床边临床工具,可利用肌酐动力学预测肾损害的恶化和早期恢复

获取原文
获取外文期刊封面目录资料

摘要

Background Changing creatinine concentrations during acute renal failure are often confusing to clinicians to interpret and can cloud the patient’s true current state of renal injury. By modifying the formula for kinetic estimate of glomerular filtration rate (KeGFR), a simple bedside clinical tool can be used to identify subtle changes in renal function. Methods The KeGFR was rewritten to instead calculate a predicted peak creatinine after renal injury. By comparing the changes in predicted peak creatinine at two or more subsequent time intervals, the patient’s current state of renal injury can be determined: whether improving, worsening or unchanged from prior. Results Three case examples are provided using the equation for predicted peak creatinine. In each case, the creatinine concentration has continued to rise at three sequentially measured times. The change in predicted peak creatinine is analyzed for each case, demonstrating scenarios involving (i) improving renal injury, (ii) unchanged renal injury continued by unfavorable hemodynamics and (iii) worsening renal injury despite interventions. Conclusions The use of this model may provide clinicians with an easy bedside tool to assess a patient’s state of acute kidney injury. Reassessment of how the creatinine is changing is already a nonquantitative part of a nephrologist's approach to acute kidney injury. Providing an assessment of the patient's changing renal function would be a useful addition to potentially detect early renal recovery or worsening renal injury and appropriately adjust treatment strategies.
机译:背景技术在急性肾功能衰竭期间肌酐浓度的变化通常会使临床医生难以理解,并可能使患者的肾脏损伤的真实当前状态模糊不清。通过修改肾小球滤过率(KeGFR)动力学估算公式,可以使用一种简单的床边临床工具来识别肾功能的细微变化。方法改写了KeGFR,以计算肾损伤后的肌酐预测峰值。通过比较两个或更多个后续时间间隔内预测的肌酐峰值的变化,可以确定患者当前的肾损伤状态:与以前相比是否改善,恶化或未改变。结果使用方程式预测肌酐峰值提供了三个案例。在每种情况下,肌酐浓度在三个连续测量的时间处持续升高。针对每种情况分析了预测的肌酐峰值变化,证明了以下情况:(i)改善肾脏损伤,(ii)血液动力学不良导致持续的肾脏损伤,以及(iii)尽管有干预措施,但肾脏损伤加重。结论该模型的使用可为临床医生提供简便的床头工具,以评估患者的急性肾损伤状态。肌酐变化的重新评估已经是肾脏科医生对急性肾损伤的治疗方法中不可量化的部分。提供对患者肾功能变化的评估将是有用的补充,以潜在地检测早期肾脏恢复或恶化的肾损伤并适当调整治疗策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号