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Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age

BACKGROUND: We aimed to develop and validate a prediction model for in‐hospital complications in children with tetralogy of Fallot repaired at an older age. METHODS AND RESULTS: A total of 513 pediatric patients from the Tianjin data set formed a derivation cohort, and 158 pediatric patients from th...

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Autores principales: Liu, Hong, Zheng, Si‐qiang, Li, Xin‐ya, Zeng, Zhi‐hua, Zhong, Ji‐sheng, Chen, Jun‐quan, Chen, Tao, Liu, Zhi‐gang, Liu, Xiao‐cheng, Shao, Yong‐feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6898806/
https://www.ncbi.nlm.nih.gov/pubmed/31645167
http://dx.doi.org/10.1161/JAHA.119.013388
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author Liu, Hong
Zheng, Si‐qiang
Li, Xin‐ya
Zeng, Zhi‐hua
Zhong, Ji‐sheng
Chen, Jun‐quan
Chen, Tao
Liu, Zhi‐gang
Liu, Xiao‐cheng
Shao, Yong‐feng
author_facet Liu, Hong
Zheng, Si‐qiang
Li, Xin‐ya
Zeng, Zhi‐hua
Zhong, Ji‐sheng
Chen, Jun‐quan
Chen, Tao
Liu, Zhi‐gang
Liu, Xiao‐cheng
Shao, Yong‐feng
author_sort Liu, Hong
collection PubMed
description BACKGROUND: We aimed to develop and validate a prediction model for in‐hospital complications in children with tetralogy of Fallot repaired at an older age. METHODS AND RESULTS: A total of 513 pediatric patients from the Tianjin data set formed a derivation cohort, and 158 pediatric patients from the Hefei and Xiamen data sets formed validation cohorts. We applied least absolute shrinkage and selection operator analysis for variable selection and logistic regression coefficients for risk scoring. We classified patients into different risk categorizations by threshold analysis and investigated the association with in‐hospital complications using logistic regression. In‐hospital complications were defined as death, need for extensive pharmacologic support (vasoactive‐inotrope score of ≥20), and need for mechanical circulatory support. We developed a nomogram based on risk classifier and independent baseline variables using a multivariable logistic model. Based on risk scores weighted by 11 preoperative and 4 intraoperative selected variables, we classified patients as low, intermediate, and high risk in the derivation cohort. With reference to the low‐risk group, the intermediate‐ and high‐risk groups conferred significantly higher in‐hospital complication risks (adjusted odds ratio: 2.721 [95% CI, 1.267–5.841], P=0.0102; 9.297 [95% CI, 4.601–18.786], P<0.0001). A nomogram integrating the ARIAR‐Risk classifier (absolute and relative low risk, intermediate risk, and aggressive and refractory high risk) with age and mean blood pressure showed good discrimination and goodness‐of‐fit for derivation (area under the receiver operating characteristic curve: 0.785 [95% CI, 0.731–0.839]; Hosmer‐Lemeshow test, P=0.544) and external validation (area under the receiver operating characteristic curve: 0.759 [95% CI, 0.636–0.881]; Hosmer‐Lemeshow test, P=0.508). CONCLUSIONS: A risk‐classifier–oriented nomogram is a reliable prediction model for in‐hospital complications in children with tetralogy of Fallot repaired at an older age, and strengthens risk/benefit–based decision‐making.
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spelling pubmed-68988062019-12-16 Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age Liu, Hong Zheng, Si‐qiang Li, Xin‐ya Zeng, Zhi‐hua Zhong, Ji‐sheng Chen, Jun‐quan Chen, Tao Liu, Zhi‐gang Liu, Xiao‐cheng Shao, Yong‐feng J Am Heart Assoc Original Research BACKGROUND: We aimed to develop and validate a prediction model for in‐hospital complications in children with tetralogy of Fallot repaired at an older age. METHODS AND RESULTS: A total of 513 pediatric patients from the Tianjin data set formed a derivation cohort, and 158 pediatric patients from the Hefei and Xiamen data sets formed validation cohorts. We applied least absolute shrinkage and selection operator analysis for variable selection and logistic regression coefficients for risk scoring. We classified patients into different risk categorizations by threshold analysis and investigated the association with in‐hospital complications using logistic regression. In‐hospital complications were defined as death, need for extensive pharmacologic support (vasoactive‐inotrope score of ≥20), and need for mechanical circulatory support. We developed a nomogram based on risk classifier and independent baseline variables using a multivariable logistic model. Based on risk scores weighted by 11 preoperative and 4 intraoperative selected variables, we classified patients as low, intermediate, and high risk in the derivation cohort. With reference to the low‐risk group, the intermediate‐ and high‐risk groups conferred significantly higher in‐hospital complication risks (adjusted odds ratio: 2.721 [95% CI, 1.267–5.841], P=0.0102; 9.297 [95% CI, 4.601–18.786], P<0.0001). A nomogram integrating the ARIAR‐Risk classifier (absolute and relative low risk, intermediate risk, and aggressive and refractory high risk) with age and mean blood pressure showed good discrimination and goodness‐of‐fit for derivation (area under the receiver operating characteristic curve: 0.785 [95% CI, 0.731–0.839]; Hosmer‐Lemeshow test, P=0.544) and external validation (area under the receiver operating characteristic curve: 0.759 [95% CI, 0.636–0.881]; Hosmer‐Lemeshow test, P=0.508). CONCLUSIONS: A risk‐classifier–oriented nomogram is a reliable prediction model for in‐hospital complications in children with tetralogy of Fallot repaired at an older age, and strengthens risk/benefit–based decision‐making. John Wiley and Sons Inc. 2019-10-24 /pmc/articles/PMC6898806/ /pubmed/31645167 http://dx.doi.org/10.1161/JAHA.119.013388 Text en © 2019 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Liu, Hong
Zheng, Si‐qiang
Li, Xin‐ya
Zeng, Zhi‐hua
Zhong, Ji‐sheng
Chen, Jun‐quan
Chen, Tao
Liu, Zhi‐gang
Liu, Xiao‐cheng
Shao, Yong‐feng
Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age
title Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age
title_full Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age
title_fullStr Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age
title_full_unstemmed Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age
title_short Derivation and Validation of a Nomogram to Predict In‐Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age
title_sort derivation and validation of a nomogram to predict in‐hospital complications in children with tetralogy of fallot repaired at an older age
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6898806/
https://www.ncbi.nlm.nih.gov/pubmed/31645167
http://dx.doi.org/10.1161/JAHA.119.013388
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