Bonkowsky Joshua L, Wilkes Jacob, Ying Jian, Wei Wei-Qi
Division of Pediatric Neurology (JLB), Department of Pediatrics, University of Utah School of Medicine; Brain and Spine Center (JLB), Primary Children's Hospital, Intermountain Healthcare, Salt Lake City; Intermountain Healthcare (JW), Salt Lake City; Department of Internal Medicine (JY), University of Utah School of Medicine, Salt Lake City; and Department of Biomedical Informatics (W-QW), Vanderbilt University Medical Center, Nashville, TN.
Neurol Clin Pract. 2020 Oct;10(5):406-414. doi: 10.1212/CPJ.0000000000000783.
To determine shared comorbidities and to identify underrecognized or unexpected morbidities in children with leukodystrophies using an unbiased phenome-wide association study (PheWAS) analysis of a nationwide pediatric clinical and financial database.
Data were extracted from the Pediatric Health Information System database. Patients with leukodystrophy were identified with International Classification of Diseases, 10th revision, clinical modification, diagnostic codes for any of 4 specific leukodystrophies (X-linked adrenoleukodystrophy (E71.52x), Hurler disease (E76.01), Krabbe disease (E75.23), and metachromatic leukodystrophy (E75.25)) over a 3-year time period. Confirmed leukodystrophy cases (n = 553) were matched with 1659 controls. A PheWAS analysis was performed on all available ICD diagnostic codes for cases and controls. Comparisons were performed for all 4 leukodystrophies as a group and individually.
We found 174 phecodes (grouped ICD codes) associated with leukodystrophies, including 28 codes with a rate difference (RD) > 20%. Known comorbidities of leukodystrophies including developmental delay, epilepsy, and adrenal insufficiency were identified. Unexpected associations identified included hypertension (RD 30%, OR 25), hearing loss (RD 28%, OR 15), and cardiac dysrhythmias (RD 27%, OR 9). Hurler disease had a greater number of unique disease conditions.
PheWAS analysis from a national database demonstrates shared and unique features of leukodystrophies. Developmental delay, cardiac dysrhythmias, fluid and electrolyte disturbances, and respiratory issues were common to all 4 leukodystrophy diseases. Use of a PheWAS in leukodystrophies and other pediatric neurologic diseases offers a method for targeting improved care for patients by identification of morbidities.
利用对全国儿科临床和财务数据库进行的无偏倚全表型关联研究(PheWAS)分析,确定脑白质营养不良患儿的共同合并症,并识别未被充分认识或意外的疾病。
数据从儿科健康信息系统数据库中提取。通过国际疾病分类第十次修订本临床修订版中4种特定脑白质营养不良(X连锁肾上腺脑白质营养不良(E71.52x)、Hurler病(E76.01)、克拉伯病(E75.23)和异染性脑白质营养不良(E75.25))的任何一种诊断代码,在3年时间内识别出脑白质营养不良患者。确诊的脑白质营养不良病例(n = 553)与1659名对照进行匹配。对病例和对照的所有可用国际疾病分类诊断代码进行PheWAS分析。对所有4种脑白质营养不良作为一个整体以及单独进行比较。
我们发现174个表型代码(分组的国际疾病分类代码)与脑白质营养不良相关,包括28个率差(RD)>20%的代码。确定了脑白质营养不良的已知合并症,包括发育迟缓、癫痫和肾上腺功能不全。识别出的意外关联包括高血压(RD 30%,OR 25)、听力损失(RD 28%,OR 15)和心律失常(RD 27%,OR 9)。Hurler病有更多独特的疾病情况。
来自国家数据库的PheWAS分析显示了脑白质营养不良的共同和独特特征。发育迟缓、心律失常、液体和电解质紊乱以及呼吸问题在所有4种脑白质营养不良疾病中都很常见。在脑白质营养不良和其他儿科神经系统疾病中使用PheWAS提供了一种通过识别疾病来针对性改善患者护理的方法。