尿症の患者における陽性尿培養の早期発見: ダイナミックなオンラインノモグラムによる機械学習モデル
Di Luo1, Jingdong Zhang1, Linguo Xie1
1Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Annals of medicine
|August 25, 2025
まとめ
新しいオンラインツールは 尿路石患者の尿培養を 正確に予測します このノモグラムは,臨床医がよりよい治療と結果を得るために,高リスクの患者を特定するのに役立ちます.
科学分野:
- 泌尿器科
- 感染症
- 医療情報学
背景:
- 尿路石を患っている患者では,尿培養が陽性であることが多い.
- この集団における感染を早期に予測するためのツールは限られている.
研究 の 目的:
- ユーザフレンドリーでダイナミックなオンラインノモグラムを開発する.
- 尿症患者の尿培養の発生率を予測する.
主な方法:
- 3,641人の尿路石患者を対象とした遡及的研究.
- 変数の選択と重要性について,LASSO回帰,ランダムフォレスト,SHAPを用いた.
- AUC,校正曲線,DCAを用いたオンラインノモグラムを開発し,検証した.
主要な成果:
- 細菌 (BACT),C反応性タンパク質 (CRP),窒素,白血球エステラーゼ (LEU) を主要な予測因子として特定した.
- 高いAUC値を達成した (全体で90. 53%,トレーニング91. 22%,検証89. 06%).
- ノモグラムは優れた性能と正確な予測を示した.
結論:
- ダイナミック・オンライン・ノモグラムは,尿症患者の尿培養を正確に予測します.
- 臨床医は高リスクの患者を特定し,抗生物質の使用を最適化し,治療結果を改善します.
- 汎用性を高めるためにさらなる検証が推奨されます.
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