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<p>Acute kidney injury (AKI) is characterized by a sudden decline in kidney function. The Kidney Disease: Improving Global Outcomes (KDIGO) clinical practice guidelines define AKI based on an increase in serum creatinine (SCr) levels as well as a decrease in urine volume. For clinical researchers of AKI, the ability to handle longitudinal SCr data and flag AKI status and stage in individual patients is a fundamental skill. This article provides a practical guide for identifying AKI episodes from longitudinal SCr data using R programming. The methods described in this article are based on a hands-on seminar presented at the 68th Annual Meeting of the Japanese Society of Nephrology in 2025.</p>

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Review no. 3: handling of longitudinal creatinine data to define acute kidney injury

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月22日

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  • Yoshihisa Miyamoto,
  • Yuka Sugawara,
  • Megumi Oshima,
  • Hajime Nagasu,
  • Takashige Kuwabara,
  • Tadashi Sofue,
  • Naoki Nakagawa,
  • Masao Iwagami

摘要

Acute kidney injury (AKI) is characterized by a sudden decline in kidney function. The Kidney Disease: Improving Global Outcomes (KDIGO) clinical practice guidelines define AKI based on an increase in serum creatinine (SCr) levels as well as a decrease in urine volume. For clinical researchers of AKI, the ability to handle longitudinal SCr data and flag AKI status and stage in individual patients is a fundamental skill. This article provides a practical guide for identifying AKI episodes from longitudinal SCr data using R programming. The methods described in this article are based on a hands-on seminar presented at the 68th Annual Meeting of the Japanese Society of Nephrology in 2025.