Khayat Maurice I, Deeth Jonathan M, Sosnov Jonathan A
Department of Nephrology, Walter Reed National Military Medical Center, Bethesda, MD, USA.
Department of Anesthesiology, Walter Reed National Military Medical Center, Bethesda, MD, USA.
Clin Kidney J. 2018 Jul 31;12(2):248-252. doi: 10.1093/ckj/sfy069. eCollection 2019 Apr.
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.
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.
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.
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.
急性肾衰竭期间肌酐浓度的变化常常让临床医生难以解读,可能会掩盖患者当前肾脏损伤的真实状况。通过修改肾小球滤过率动态估计公式(KeGFR),可使用一种简单的床旁临床工具来识别肾功能的细微变化。
对KeGFR进行改写,改为计算肾损伤后的预测肌酐峰值。通过比较两个或更多后续时间间隔内预测肌酐峰值的变化,可确定患者当前的肾脏损伤状况:与之前相比是改善、恶化还是未变。
提供了三个使用预测肌酐峰值方程的病例示例。在每个病例中,肌酐浓度在连续三次测量时持续升高。对每个病例的预测肌酐峰值变化进行分析,展示了以下几种情况:(i)肾脏损伤改善;(ii)因不良血流动力学导致肾脏损伤未变;(iii)尽管进行了干预但肾脏损伤仍在恶化。
使用该模型可为临床医生提供一种简单的床旁工具,以评估患者的急性肾损伤状况。重新评估肌酐的变化情况已经是肾病学家处理急性肾损伤方法中的一个非定量部分。对患者不断变化的肾功能进行评估将是一个有益的补充,有可能检测到早期肾脏恢复或肾脏损伤恶化,并相应调整治疗策略。