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日本人の健診データを用いた高血圧発症リスク予測スコアの開発
http://hdl.handle.net/10232/00032020
http://hdl.handle.net/10232/0003202073cd1c50-88f0-474a-9241-3f4f9d5dcb22
| 名前 / ファイル | ライセンス | アクション |
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Diss_川添_真理子_4519810150_2022 (846.8 kB)
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Abstract_川添_真理子_4519810150_2022 (128.8 kB)
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Result_Kawasoe_mariko_isk_662 (114.1 kB)
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Comments_Kawasoe_mariko_isk_662 (61.8 kB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2022-06-13 | |||||
| タイトル | ||||||
| タイトル | Development of a risk prediction score for hypertension incidence using Japanese health checkup data | |||||
| タイトル言語 | en | |||||
| タイトル | ||||||
| タイトル | 日本人の健診データを用いた高血圧発症リスク予測スコアの開発 | |||||
| タイトル言語 | ja | |||||
| 著者 |
川添, 真理子
× 川添, 真理子 |
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| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Diabetes | |||||
| キーワード | ||||||
| 主題言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Hypertension | |||||
| キーワード | ||||||
| 主題言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Obesity | |||||
| キーワード | ||||||
| 主題言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Prediction score | |||||
| キーワード | ||||||
| 主題言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Smoking | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||
| 資源タイプ | doctoral thesis | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 要約 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Hypertension is a risk factor for cardiovascular disease. We developed a simple scoring method for predicting future hypertension using health checkup data. A total of 41,902 participants aged 30–69 years without baseline hypertension who underwent annual health checkups (mean age, 52.3 ± 10.2 years; male, 47.7%) were included. They were randomly assigned to derivation (n = 27,935) and validation cohorts (n = 13,967) at a ratio of 2:1. In the derivation cohort, we performed multivariable logistic regression analysis and assigned scores to each factor significantly associated with 5-year hypertension. We evaluated the predictive ability of the scores using area under the curve (AUC) analysis and then applied them to the validation cohort to assess their validity. The score including items requiring blood sampling ranged from 0 to 14 and included seven indicators (age, body mass index, blood pressure, current smoking, family history of hypertension, diabetes, and hyperuricemia). The score not including items requiring blood sampling ranged from 0 to 12 and included five indicators (the above indicators, except diabetes and hyperuricemia). The score not including items requiring blood sampling was better; blood sampling did not improve diagnostic ability. The AUC of the score not including items requiring blood sampling was 0.76, with a sensitivity and specificity of 0.82 and 0.60, respectively, for scores ≥6 points. The incidence of hypertension gradually and constantly increased (from 0.9 to 49.6%) as the score increased from 0 to ≥10. Analysis in the validation cohort yielded similar results. We developed a simple and useful clinical prediction model to predict the 5-year incidence of hypertension among a general Japanese population. The model had reasonably high predictive ability and reproducibility. Mariko Kawasoe, Shin Kawasoe, Takuro Kubozono, Satoko Ojima, Takeko Kawabata, Yoshiyuki Ikeda, Naoya Oketani, Hironori Miyahara, Koichi Tokushige, Masaaki Miyata & Mitsuru Ohishi Development of a risk prediction score for hypertension incidence using Japanese health checkup data Hypertension Research (2022) 45:730–740 This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1038/s41440-021-00831-x |
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| 内容記述言語 | en | |||||
| 作成日 | ||||||
| 日付 | 2022-05-17 | |||||
| 日付タイプ | Collected | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| NDC | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 490 | |||||
| ファイル（説明） | ||||||
| 内容記述 | 博士論文全文, 博士論文要旨, 最終試験結果の要旨, 論文審査の要旨 | |||||
| 公開者・出版者 | ||||||
| 出版者 | Springer Nature | |||||
| 出版者言語 | en | |||||
| 公開者・出版者 | ||||||
| 出版者 | 鹿児島大学 | |||||
| 出版者言語 | ja | |||||
| 備考 | ||||||
| 備考言語 | ja | |||||
| 備考 | 【指導教員:大石充】 | |||||
| date.appl | ||||||
| appl | 【学位申請日】2022-03-02 | |||||
| 学位名 | ||||||
| 学位名の言語 | ja | |||||
| 学位名 | 博士(医学) | |||||
| 学位名 | ||||||
| 学位名の言語 | en | |||||
| 学位名 | Doctor of Philosophy in Medical Science | |||||
| 学位授与機関名 | ||||||
| 学位授与機関識別子Scheme | kakenhi | |||||
| 学位授与機関識別子 | 17701 | |||||
| 学位授与機関名の言語 | ja | |||||
| 学位授与機関名 | 鹿児島大学 | |||||
| 学位授与年月日 | ||||||
| 学位授与年月日 | 2022-05-30 | |||||
| 学位授与番号 | ||||||
| 学位授与番号 | 甲総研第662号 | |||||
