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周辺動脈疾患リスクに対する酸化バランススコアの評価:NHANESにおける疫学モデリングとSHAP解釈可能な機械学習の統合

  • 0Department of Thoracic and Cardiovascular Surgery, Affiliated Drum Tower Hospital of Nanjing University Medical School, Institute of Cardiothoracic Vascular Disease Nanjing University Nanjing China.

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まとめ

この要約は機械生成です。

食生活とライフスタイルを反映した酸化バランススコア (OBS) は,外周動脈疾患 (PAD) のリスクの低下と関連しています. 高いOBSは,米国の成人のPADの流行と保護的なU型関連性を示した.

科学分野

  • 心血管研究
  • 栄養学的流行病学
  • バイオマーカーの開発

背景

  • 酸化ストレスは,外周動脈疾患 (PAD) の病原性において極めて重要です.
  • 酸化バランススコア (OBS) のような酸化ストレスの複合指標は,血管リスク評価にあまり使われていません.

研究 の 目的

  • 米国成人におけるOBSとPADの流行の関連を調査する.
  • 線形と非線形の関係を探究し,機械学習を用いてPADの主要な予測要因を特定する.

主な方法

  • NHANES 1999~2004年のデータから 7249人のアメリカ人を分析した.
  • 足首・腕指数 (ABI ≤0.9) を用いてPADの評価
  • 多変数ロジスティック回帰,制限立方スプレイン,解釈可能な機械学習 (SHAP) の適用.

主要な成果

  • より高いOBSは,PADの流行率の減少と有意に関連していた (OR:0. 963単位増加,p < 0. 001).
  • 関連性はサブグループ全体にわたって持続したが,糖尿病患者では全体的なOBSでは有意ではなかった.
  • SHAPの分析では 葉酸,身体活動,コチニンが 主要な予測因子で ビタミンCやEのような伝統的な抗酸化物質は 重要でないことが示されました

結論

  • OBSはPADと非線形で逆の関連性を示し,複合バイオマーカーとしての有用性を示唆しています.
  • OBSの重要な要素をターゲットにしたライフスタイルの介入は,高リスク集団におけるPADの予防に有益である可能性があります.

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