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  1. C100 医学部/医学系研究科
  2. C100a 雑誌掲載論文
  3. 学術雑誌

Antenatal prediction models for short‐ and medium‐term outcomes in preterm infants

http://hdl.handle.net/2237/0002001539
http://hdl.handle.net/2237/0002001539
4c98fdb1-bc5c-4ea2-985a-b7e6768396bd
名前 / ファイル ライセンス アクション
Prediction_of_Neonatal_Complications_for_revision_clean_version.pdf Prediction_of_Neonatal_Complications_for_revision_clean_version.pdf (398 KB)
Item type itemtype_ver1(1)
公開日 2021-10-18
タイトル
タイトル Antenatal prediction models for short‐ and medium‐term outcomes in preterm infants
言語 en
著者 Ushida, Takafumi

× Ushida, Takafumi

en Ushida, Takafumi

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Moriyama, Yoshinori

× Moriyama, Yoshinori

en Moriyama, Yoshinori

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Nakatochi, Masahiro

× Nakatochi, Masahiro

en Nakatochi, Masahiro

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Kobayashi, Yumiko

× Kobayashi, Yumiko

en Kobayashi, Yumiko

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Imai, Kenji

× Imai, Kenji

en Imai, Kenji

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Nakano‐Kobayashi, Tomoko

× Nakano‐Kobayashi, Tomoko

en Nakano‐Kobayashi, Tomoko

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Nakamura, Noriyuki

× Nakamura, Noriyuki

en Nakamura, Noriyuki

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Hayakawa, Masahiro

× Hayakawa, Masahiro

en Hayakawa, Masahiro

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Kajiyama, Hiroaki

× Kajiyama, Hiroaki

en Kajiyama, Hiroaki

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Kotani, Tomomi

× Kotani, Tomomi

en Kotani, Tomomi

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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
権利
言語 en
権利情報 "This is the peer reviewed version of the following article: [Ushida, T., Moriyama, Y., Nakatochi, M., Kobayashi, Y., Imai, K., Nakano-Kobayashi, T., Nakamura, N., Hayakawa, M., Kajiyama, H., Kotani, T. and (2021), Antenatal prediction models for short- and medium-term outcomes in preterm infants. Acta Obstet Gynecol Scand, 100: 1089-1096. https://doi.org/10.1111/aogs.14136], which has been published in final form at [https://doi.org/10.1111/aogs.14136]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited."
内容記述
内容記述 Introduction: In extremely and very preterm infants, predicting individual risks for adverse outcomes antenatally is challenging but necessary for risk-stratified perinatal management and parents’ participation in decision-making about treatment. Our aim was to develop and validate prediction models for short-term (neonatal period) and medium-term (3 years of age) outcomes based on antenatal maternal and fetal factors alone. Material and methods: A population-based study was conducted on 31 157 neonates weighing ≤1500 g and born between 22 and 31 weeks of gestation registered in the Neonatal Research Network of Japan during 2006–2015. Short-term outcomes were assessed in 31 157 infants and medium-term outcomes were assessed in 13 751 infants among the 31 157 infants. The clinical data were randomly divided into training and validation data sets in a ratio of 2:1. The prediction models were developed by factors selected using stepwise logistic regression from 12 antenatal maternal and fetal factors with the training data set. The number of factors incorporated into the model varied from 3 to 10, on the basis of each outcome. To evaluate predictive performance, the area under the receiver operating characteristics curve (AUROC) was calculated for each outcome with the validation data set. Results: Among short-term outcomes, AUROCs for in-hospital death, chronic lung disease, intraventricular hemorrhage (grade III or IV) and periventricular leukomalacia were 0.85 (95% CI 0.83–0.86), 0.80 (95% CI 0.79–0.81), 0.78 (95% CI 0.75–0.80), and 0.58 (95% CI 0.55–0.61), respectively. Among medium-term outcomes, AUROCs for cerebral palsy and developmental quotient of <70 at 3 years of age were 0.66 (95% CI 0.63–0.69) and 0.72 (95% CI 0.70–0.74), respectively. Conclusions: Although the predictive performance of these models varied for each outcome, their discriminative ability for in-hospital death, chronic lung disease, and intraventricular hemorrhage (grade III or IV) was relatively good. We provided a bedside prediction tool for calculating the likelihood of various infant complications for clinical use. To develop these prediction models would be valuable in each country, and these risk assessment tools could facilitate risk-stratified perinatal management and parents’ shared understanding of their infants' subsequent risks.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 Wiley
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
関連情報
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1111/aogs.14136
収録物識別子
収録物識別子タイプ PISSN
収録物識別子 0001-6349
書誌情報 en : Acta Obstetricia et Gynecologica Scandinavica

巻 100, 号 6, p. 1089-1096, 発行日 2021-06
ファイル公開日
日付 2022-06-01
日付タイプ Available
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