Zaheer Amna, Saeed Humza, Arshad Muhammad Khubaib, Iftikhar Uswa, Abid Areesha, Khan Muhammad Hamza, Khan Alina Sami, Akbar Anum
Department of Medicine, Rawalpindi Medical University, Rawalpindi
Department of Medicine, Liaquat National Hospital and Medical College, Karachi
Cardiol Rev. 2024 Nov 27. doi: 10.1097/CRD.0000000000000816.
Dyslipidemia is abnormal lipid and lipoprotein levels in the blood, influenced mainly by genetics, lifestyle, and environmental factors. The management of lipid levels in children involves early screening, nonpharmacological interventions such as lifestyle modifications and dietary changes, nutraceuticals, and pharmacological treatments, including drug therapy. However, the prevalence of dyslipidemia in the pediatric population is increasing, particularly among obese children, which is a significant risk factor for cardiovascular complications. This narrative review analyzes current literature on the management of dyslipidemia in children and explores the potential of artificial intelligence (AI) to improve screening, diagnosis, and treatment outcomes. A comprehensive literature search was conducted using Google Scholar and PubMed databases, focusing primarily on the application of AI in managing dyslipidemia. AI has been beneficial in managing lipid disorders, including lipid profile analysis, obesity assessments, and familial hypercholesterolemia screening. Deep learning models, machine learning algorithms, and artificial neural networks have improved diagnostic accuracy and treatment efficacy. While most studies are done in the adult population, the promising results suggest further exploring AI management of dyslipidemia in children.
血脂异常是指血液中脂质和脂蛋白水平异常，主要受遗传、生活方式和环境因素影响。儿童血脂水平的管理包括早期筛查、非药物干预（如生活方式改变和饮食调整）、营养补充剂以及药物治疗（包括药物疗法）。然而，儿童人群中血脂异常的患病率正在上升，尤其是在肥胖儿童中，这是心血管并发症的一个重要危险因素。这篇叙述性综述分析了当前关于儿童血脂异常管理的文献，并探讨了人工智能（AI）改善筛查、诊断和治疗结果的潜力。使用谷歌学术和PubMed数据库进行了全面的文献检索，主要关注AI在血脂异常管理中的应用。AI在脂质紊乱管理中已发挥作用，包括血脂谱分析、肥胖评估和家族性高胆固醇血症筛查。深度学习模型、机器学习算法和人工神经网络提高了诊断准确性和治疗效果。虽然大多数研究是在成人人群中进行的，但这些有前景的结果表明有必要进一步探索AI在儿童血脂异常管理中的应用。
