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The First Report of Relative Incidence of Inherited White Matter Disorders in an Asian Country Based on an Iranian Bioregistry System.基于伊朗生物登记系统的亚洲国家遗传性白质疾病相对发病率的首次报告。
J Child Neurol. 2018 Mar;33(4):255-259. doi: 10.1177/0883073817751804. Epub 2018 Jan 15.
2
Hematopoietic Stem-Cell Gene Therapy for Cerebral Adrenoleukodystrophy.用于脑型肾上腺脑白质营养不良的造血干细胞基因治疗
N Engl J Med. 2017 Oct 26;377(17):1630-1638. doi: 10.1056/NEJMoa1700554. Epub 2017 Oct 4.
3
Revised consensus statement on the preventive and symptomatic care of patients with leukodystrophies.关于脑白质营养不良患者预防和症状性护理的修订共识声明。
Mol Genet Metab. 2017 Sep;122(1-2):18-32. doi: 10.1016/j.ymgme.2017.08.006. Epub 2017 Aug 20.
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Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.评估电子健康记录中全表型关联研究的疾病编码、临床分类软件和国际疾病分类第九版临床修订本编码。
PLoS One. 2017 Jul 7;12(7):e0175508. doi: 10.1371/journal.pone.0175508. eCollection 2017.
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Lentiviral haemopoietic stem-cell gene therapy in early-onset metachromatic leukodystrophy: an ad-hoc analysis of a non-randomised, open-label, phase 1/2 trial.慢病毒造血干细胞基因治疗早发性脑白质营养不良:一项非随机、开放标签、1/2 期临床试验的特定分析。
Lancet. 2016 Jul 30;388(10043):476-87. doi: 10.1016/S0140-6736(16)30374-9. Epub 2016 Jun 8.
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Disease specific therapies in leukodystrophies and leukoencephalopathies.脑白质营养不良和脑白质病的疾病特异性疗法。
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Consensus statement on preventive and symptomatic care of leukodystrophy patients.关于脑白质营养不良患者预防和对症治疗的共识声明。
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使用全表型关联研究确定的脑白质营养不良的新型和已知发病情况。

Novel and known morbidities of leukodystrophies identified using a phenome-wide association study.

作者信息

Bonkowsky Joshua L, Wilkes Jacob, Ying Jian, Wei Wei-Qi

机构信息

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.

出版信息

Neurol Clin Pract. 2020 Oct;10(5):406-414. doi: 10.1212/CPJ.0000000000000783.

DOI:10.1212/CPJ.0000000000000783
PMID:33299668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7717630/
Abstract

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

目的

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。

方法

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。

结果

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。

结论

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。