高血圧検出のための横断的モデルの予測変数と診断パフォーマンス:系統的レビュー
Víctor Juan Vera-Ponce1, Fiorella E Zuzunaga-Montoya2, Jhosmer Ballena-Caicedo1
1Facultad de Medicina (FAMED), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Amazonas, Perú.
Frontiers in cardiovascular medicine
|December 15, 2025
まとめ
本研究では高血圧の診断モデルをレビューし、年齢やBMIなどの単純な臨床的要因が有効であることがわかりました。世界的な高血圧検出の改善のためには、過小評価されている集団に関するさらなる研究が必要です。
科学分野:
- 循環器病学と公衆衛生学
- 疫学と生物統計学
背景:
- 高血圧は世界中で13億人に影響を与えており、多くは未診断であり、効率的な診断ツールが必要です。
- 心血管疾患リスクの管理には、タイムリーな高血圧検出が不可欠です。
主な方法:
- PRISMAおよびTRIPODガイドラインに従った系統的レビュー。
- 2000年から2024年までの主要なデータベース(MEDLINE/PubMed、Scopus、Web of Science、EMBASE)を検索しました。
- 成人高血圧予測モデルを開発または検証した観察研究を含めました。
- PROBASTツールを使用してバイアスのリスクを評価しました。
結論:
- 横断的予測モデル、特に単純な臨床モデルは、高血圧検出に効果的です。
- 将来のモデルは、過小評価されている集団に焦点を当て、健康の社会的決定要因を組み込み、リソースが限られた設定でアクセス可能であるべきです。
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