論文

2020年8月31日

Indicators of acute kidney injury as biomarkers to differentiate heatstroke from coronavirus disease 2019: A retrospective multicenter analysis.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi
  • Hirofumi Obinata
  • Shoji Yokobori
  • Kei Ogawa
  • Yasuhiro Takayama
  • Shuichi Kawano
  • Toshimitsu Ito
  • Toru Takiguchi
  • Yutaka Igarashi
  • Ryuta Nakae
  • Tomohiko Masuno
  • Hayato Ohwada
  • 全て表示

88
1
開始ページ
80
終了ページ
86
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1272/jnms.JNMS.2021_88-107

BACKGROUND: Coronavirus disease 2019 (COVID-19) and heat related-illness are systemic febrile diseases. In the summer during the COVID-19 pandemic, a differential diagnosis between the two conditions is important. However, no studies have compared and distinguished heat-related illness from COVID-19. We aimed to compare the data between patients with early-stage heat-related illness and those with COVID-19. METHODS: This retrospective observational study included 90 patients with early-stage heat-related illness selected from Heatstroke STUDY 2017-2019 (nationwide registries of heat-related illness in Japan) and 86 patients with laboratory-confirmed COVID-19 with complaints of fever or fatigue and were admitted to one of two hospitals in Tokyo, Japan. RESULTS: Amongvital signs, systolic blood pressure (119 vs. 125 mmHg, p = 0.02), oxygen saturation (98% vs. 97%, p < 0.001), and body temperature (36.6 vs. 37.6 °C, p<0.001) showed significant between-group differences for the heatstroke and COVID-19 groups, respectively. Numerous intergroup differences in laboratory findings were present, including white blood cell counts (10.8 vs. 5.2 × 103/μL, p<0.001), creatinine (2.2 vs. 0.85 mg/dL, p<0.001), and C-reactive protein (0.2 vs. 2.8 mg/dL, p<0.001), although a logistic regression model achieved an area under the curve (AUC) of 0.966 using these three factors. A Random Forest machine learning model achieved accuracy, precision, recall, and AUC of 0.908, 0.976, 0.842, and 0.978, respectively. Creatinine was the most important feature of this model. CONCLUSIONS: Acute kidney injury was associated with heat-related illness, which could be key in distinguishing or evaluating patients with fever in the summer during the COVID-19 pandemic.

リンク情報
DOI
https://doi.org/10.1272/jnms.JNMS.2021_88-107
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/32863339
ID情報
  • DOI : 10.1272/jnms.JNMS.2021_88-107
  • PubMed ID : 32863339

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