Impact of Antiseizure Medications on Appetite and Weight in Children

医学 食欲 奥卡西平 左乙拉西坦 托吡酯 唑尼沙胺 卡马西平 减肥 癫痫 硫加宾 拉莫三嗪 吡拉西坦 儿科 药理学 内科学 精神科 肥胖
作者
Ersida Buraniqi,Hicham Dabaja,Elaine Wirrell
出处
期刊:Pediatric Drugs [Adis, Springer Healthcare]
卷期号:24 (4): 335-363 被引量:25
标识
DOI:10.1007/s40272-022-00505-2
摘要

There are numerous potential factors that may affect growth in children with epilepsy, and these must be evaluated in any child with appetite and weight concerns. Antiseizure medications (ASMs) have potential adverse effects, and many may affect appetite, thus impacting normal growth and weight gain. The aim of this review is to focus on the impact of both epilepsy and ASMs on appetite and weight in children. We systematically reviewed studies using Medline assessing the impact of ASMs on appetite and weight in children. Eligible studies included randomized controlled trials and open-label studies (open-label extension and interventional) that targeted or included the pediatric population (0–18 years of age). Each study was classified using the American Academy of Neurology (AAN) Classification of Evidence for Therapeutic Studies, and the level of evidence for impact on appetite and weight in children was graded. ASMs associated with decreased appetite and/or weight loss include fenfluramine, topiramate, zonisamide, felbamate, rufinamide, stiripentol, cannabidiol, brivaracetam and ethosuximide; ASMs with minimal impact on weight and appetite in children include oxcarbazepine, eslicarbazepine, lamotrigine, levetiracetam, lacosamide, carbamazepine, vigabatrin and clobazam. The ASM most robustly associated with increased appetite and/or weight gain is valproic acid; however, both pregabalin and perampanel may also lead to modest weight gain or increased appetite in children. Certain ASMs may impact both appetite and weight, which may lead to increased morbidity of the underlying disease and impaired adherence to the treatment regimen.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
常璐旸发布了新的文献求助10
1秒前
烟花应助Dr_Marila采纳,获得10
3秒前
3秒前
4秒前
由于发布了新的文献求助10
4秒前
4秒前
freeaway完成签到,获得积分0
5秒前
Sophia完成签到,获得积分10
5秒前
6秒前
文泽完成签到,获得积分10
6秒前
领导范儿应助稳重芷巧采纳,获得10
6秒前
地球发布了新的文献求助10
6秒前
达达完成签到,获得积分10
7秒前
呼呼完成签到 ,获得积分10
7秒前
彭于晏应助zp采纳,获得10
7秒前
xbb0905完成签到,获得积分10
8秒前
机灵一兰发布了新的文献求助10
8秒前
8秒前
我爱科研完成签到,获得积分10
8秒前
9秒前
9秒前
Orange应助xu11采纳,获得10
10秒前
Altas发布了新的文献求助10
10秒前
感动大地完成签到,获得积分10
11秒前
jewel9发布了新的文献求助10
11秒前
11秒前
11秒前
热情奇异果完成签到,获得积分10
11秒前
11秒前
13秒前
成就的惜灵关注了科研通微信公众号
13秒前
13秒前
隐形曼青应助超级千凡采纳,获得10
14秒前
14秒前
亮亮完成签到,获得积分10
15秒前
Estella完成签到,获得积分10
15秒前
12345完成签到,获得积分20
15秒前
16秒前
李佳发布了新的文献求助10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443241
求助须知:如何正确求助?哪些是违规求助? 8257113
关于积分的说明 17585207
捐赠科研通 5501710
什么是DOI,文献DOI怎么找? 2900830
邀请新用户注册赠送积分活动 1877821
关于科研通互助平台的介绍 1717487