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儿童人群肥厚型心肌病的基因型预测模型

Hypertrophic Cardiomyopathy Genotype Prediction Models in a Pediatric Population.

作者信息

Newman Randa, Jefferies John Lynn, Chin Clifford, He Hua, Shikany Amy, Miller Erin M, Parrott Ashley

机构信息

Division of Human Genetics, Cincinnati Children's Hospital Medical Center (CCHMC), Cincinnati, USA.

The Heart Institute at CCHMC, Cincinnati, USA.

出版信息

Pediatr Cardiol. 2018 Apr;39(4):709-717. doi: 10.1007/s00246-018-1810-2. Epub 2018 Jan 24.

Abstract

The Toronto Hypertrophic Cardiomyopathy (HCM) Genotype Score and Mayo HCM Genotype Predictor are risk assessment models developed to estimate a patient's likelihood of testing positive for a pathogenic variant causative of HCM. These models were developed from adult populations with HCM based on factors that have been associated with a positive genotype and have not been validated in external populations. The purpose of this study was to evaluate the overall predictive abilities of these models in a clinical pediatric HCM setting. A retrospective medical record review of 77 pediatric patients with gene panel testing for HCM between September 2005 and June 2015 was performed. Clinical and echocardiographic variables used in the developed models were collected and used to calculate scores for each patient. To evaluate model performance, the ability to discriminate between a carrier and non-carrier was assessed by area under the ROC curve (AUC) and overall calibration was evaluated by the Hosmer-Lemeshow goodness-of-fit statistic. Discrimination assessed by AUC was 0.72 (P < 0.001) for the Toronto model and 0.67 (P = 0.004) for the Mayo model. The Toronto model and the Mayo model showed P values of 0.36 and 0.82, respectively, for model calibration. Our findings suggest that these models are useful in predicting a positive genetic test result in a pediatric HCM setting. They may be used to aid healthcare providers in communicating risk and enhance patient decision-making regarding pursuit of genetic testing.

摘要

多伦多肥厚型心肌病(HCM)基因型评分和梅奥HCM基因型预测指标是用于评估患者携带导致HCM的致病变异检测呈阳性可能性的风险评估模型。这些模型是基于与基因型阳性相关的因素,从患有HCM的成年人群中开发出来的,尚未在外部人群中得到验证。本研究的目的是评估这些模型在临床儿科HCM环境中的整体预测能力。对2005年9月至2015年6月期间77例接受HCM基因检测的儿科患者进行了回顾性病历审查。收集了已开发模型中使用的临床和超声心动图变量,并用于计算每位患者的得分。为了评估模型性能,通过ROC曲线下面积(AUC)评估区分携带者和非携带者的能力,并通过Hosmer-Lemeshow拟合优度统计量评估整体校准情况。多伦多模型通过AUC评估的区分能力为0.72(P < 0.001),梅奥模型为0.67(P = 0.004)。多伦多模型和梅奥模型的模型校准P值分别为0.36和0.82。我们的研究结果表明,这些模型在预测儿科HCM环境中的基因检测阳性结果方面很有用。它们可用于帮助医疗保健提供者传达风险,并增强患者在进行基因检测方面的决策能力。

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