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A prediction model for 5-year cardiac mortality in patients with chronic heart failure using 123I-metaiodobenzylguanidine imaging
http://hdl.handle.net/2297/37575
http://hdl.handle.net/2297/3757565e974fb-aa43-4605-ba1f-56ef5ef568b6
| 名前 / ファイル | ライセンス | アクション |
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ME-PR-NAKAJIMA-K-supplementary data.pdf (731.7 kB)
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ME-PR-NAKAJIMA-K-1673.pdf (2.2 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | A prediction model for 5-year cardiac mortality in patients with chronic heart failure using 123I-metaiodobenzylguanidine imaging | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Nakajima, Kenichi
× Nakajima, Kenichi× Nakata, Tomoaki× Yamada, Takahisa× Yamashina, Shohei× Momose, Mitsuru× Kasama, Shu× Matsui, Toshiki× Matsuo, Shinro× Travin, Mark I.× Jacobson, Arnold F. |
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| 書誌情報 |
European Journal of Nuclear Medicine and Molecular Imaging 巻 41, 号 9, p. 1673-1682, 発行日 2014-09-01 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1619-7070 | |||||
| NCID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA1161516X | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1007/s00259-014-2759-x | |||||
| 出版者 | ||||||
| 出版者 | Springer Verlag | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Purpose Prediction of mortality risk is important in the management of chronic heart failure (CHF). The aim of this study was to create a prediction model for 5-year cardiac death including assessment of cardiac sympathetic innervation using data from a multicenter cohort study in Japan. Methods The original pooled database consisted of cohort studies from six sites in Japan. A total of 933 CHF patients who underwent 123I-metaiodobenzylguanidine (MIBG) imaging and whose 5-year outcomes were known were selected from this database. The late MIBG heart-to-mediastinum ratio (HMR) was used for quantification of cardiac uptake. Cox proportional hazard and logistic regression analyses were used to select appropriate variables for predicting 5-year cardiac mortality. The formula for predicting 5-year mortality was created using a logistic regression model. Results During the 5-year follow-up, 205 patients (22 %) died of a cardiac event including heart failure death, sudden cardiac death and fatal acute myocardial infarction (64 %, 30 % and 6 %, respectively). Multivariate logistic analysis selected four parameters, including New York Heart Association (NYHA) functional class, age, gender and left ventricular ejection fraction, without HMR (model 1) and five parameters with the addition of HMR (model 2). The net reclassification improvement analysis for all subjects was 13.8 % (p < 0.0001) by including HMR and its inclusion was most effective in the downward reclassification of low-risk patients. Nomograms for predicting 5-year cardiac mortality were created from the five-parameter regression model. Conclusion Cardiac MIBG imaging had a significant additive value for predicting cardiac mortality. The prediction formula and nomograms can be used for risk stratifying in patients with CHF. © 2014 The Author(s). | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Article in press | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | This article has Supplemental materrial and methods. | |||||
| 権利 | ||||||
| 権利情報 | This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
