Which classification best predicts functional status in children with CHD?

IF 0.7 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Arthur Gavotto, Ines Liard, Helena Huguet, Marie-Christine Picot, Sophie Guillaumont, Stefan Matecki, Illies Ouhab, Pascal Amedro
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Abstract

Background: Medical advances in the management of CHD have shifted the focus from childhood mortality to life-long morbidity; therefore, clinical research in paediatric cardiology tends to replace mortality outcomes with functional and patient-reported outcomes. Despite these advances, the stratification of disease severity using a simple and reproducible CHD classification has not been established. The aim was to determine which classification best predicts functional status in children with CHD, in terms of cardiopulmonary fitness.

Method: This retrospective cohort study was assessed from a cohort study of 296 children (mean age 11.3 ± 3.1 years, 129 female), who underwent a baseline and final cardiopulmonary exercise tests with a mean follow-up of 4.1 ± 1.6 years.

Results: Seven CHD classifications were identified, assessing anatomical, physiological, therapeutic, or functional parameters in foetal, paediatric, or adult CHD populations. The four-stage paediatric CHD disease severity classification established by Uzark et al. best predicted functional status at the final cardiopulmonary exercise test assessment, with an area under the receiver operating characteristics curves of 0.62 (0.55-0.69) for impaired cardiopulmonary fitness (maximum oxygen uptake (VO2max) or ventilatory anaerobic threshold < -1.64 Z-score). The best inter-judge classification agreement was also observed for Uzark classification, with a Kappa coefficient of 0.88 (0.78-0.98).

Conclusion: The CHD classification by Uzark is reliable in terms of functional status prediction and reproducibility in children with CHD. This simple classification may contribute to identifying children with CHD most at risk of cardiopulmonary fitness impairment and initiating early preventive cardiovascular interventions in paediatric cardiology.

哪种分类最能预测冠心病患儿的功能状态?
背景:冠心病管理的医学进步已将焦点从儿童死亡率转移到终身发病率;因此,儿科心脏病学的临床研究倾向于用功能和患者报告的结果取代死亡率结果。尽管取得了这些进展,但使用简单且可重复的冠心病分类对疾病严重程度进行分层的方法尚未建立。目的是确定哪种分类最能预测冠心病儿童的心肺功能状态。方法:本回顾性队列研究从296名儿童(平均年龄11.3±3.1岁,女性129名)的队列研究中进行评估,这些儿童接受了基线和最终心肺运动试验,平均随访4.1±1.6年。结果:确定了7种冠心病分类,评估了胎儿、儿童或成人冠心病人群的解剖、生理、治疗或功能参数。由Uzark等人建立的四阶段儿科冠心病疾病严重程度分类在最后的心肺运动试验评估中最能预测功能状态,对于心肺功能受损(最大摄氧量(VO2max)或通气无氧阈值< -1.64 Z-score),受试者工作特征曲线下的面积为0.62(0.55-0.69)。Uzark分类的判员间分类一致性最好,Kappa系数为0.88(0.78 ~ 0.98)。结论:Uzark法对儿童冠心病的功能状态预测可靠,可重复性好。这种简单的分类可能有助于识别最容易发生心肺功能障碍的冠心病儿童,并在儿科心脏病学中启动早期预防性心血管干预措施。
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来源期刊
Cardiology in the Young
Cardiology in the Young 医学-小儿科
CiteScore
1.70
自引率
10.00%
发文量
715
审稿时长
4-8 weeks
期刊介绍: Cardiology in the Young is devoted to cardiovascular issues affecting the young, and the older patient suffering the sequels of congenital heart disease, or other cardiac diseases acquired in childhood. The journal serves the interests of all professionals concerned with these topics. By design, the journal is international and multidisciplinary in its approach, and members of the editorial board take an active role in the its mission, helping to make it the essential journal in paediatric cardiology. All aspects of paediatric cardiology are covered within the journal. The content includes original articles, brief reports, editorials, reviews, and papers devoted to continuing professional development.
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