Development of a neurologic severity scale for Aicardi Goutières Syndrome.


Journal

Molecular genetics and metabolism
ISSN: 1096-7206
Titre abrégé: Mol Genet Metab
Pays: United States
ID NLM: 9805456

Informations de publication

Date de publication:
06 2020
Historique:
received: 18 02 2020
revised: 29 03 2020
accepted: 30 03 2020
pubmed: 14 4 2020
medline: 7 4 2021
entrez: 14 4 2020
Statut: ppublish

Résumé

Aicardi Goutières Syndrome (AGS) is a severe, autoinflammatory leukodystrophy characterized by global neurologic dysfunction. Our goal was to create an easy-to-apply scale relevant to the unique developmental challenges associated with AGS. All individuals were recruited through our natural history study. Individuals were classified by AGS severity as mild, moderate, or severe, and clinical encounters were assigned a composite score for neurologic function calculated from the sum of three functional classification scales. Through expert consensus, we identified 11 key items to reflect the severity of AGS across gross motor, fine motor, and cognitive skills to create the AGS Scale. There was strong interrater reliability. The AGS scale was applied across available medical records to evaluate neurologic function over time. The AGS scale was compared to performance on a standard measure of gross motor function (Gross Motor Function Measure-88, GMFM-88) and a putative diagnostic biomarker of disease, the interferon signaling gene expression score (ISG). The AGS scale score correlated with severity classifications and the composite neurologic function scores. When retrospectively applied across our natural history study, the majority of individuals demonstrated an initial decline in function followed by stable scores. Within the first 6 months of disease, the AGS score was the most dynamic. The AGS scale correlated with performance by the GMFM-88, but did not correlate with ISG levels. This study demonstrates the utility of the AGS scale as a multimodal tool for the assessment of neurologic function in AGS. The AGS scale correlates with clinical severity and with a more labor-intensive tool, GMFM-88. This study underscores the limitations of the ISG score as a marker of disease severity. With the AGS scale, we found that AGS neurologic severity is the most dynamic early in disease. This novel AGS scale is a promising tool to longitudinally follow neurologic function in this unique population.

Sections du résumé

BACKGROUND AND PURPOSE
Aicardi Goutières Syndrome (AGS) is a severe, autoinflammatory leukodystrophy characterized by global neurologic dysfunction. Our goal was to create an easy-to-apply scale relevant to the unique developmental challenges associated with AGS.
METHODS
All individuals were recruited through our natural history study. Individuals were classified by AGS severity as mild, moderate, or severe, and clinical encounters were assigned a composite score for neurologic function calculated from the sum of three functional classification scales. Through expert consensus, we identified 11 key items to reflect the severity of AGS across gross motor, fine motor, and cognitive skills to create the AGS Scale. There was strong interrater reliability. The AGS scale was applied across available medical records to evaluate neurologic function over time. The AGS scale was compared to performance on a standard measure of gross motor function (Gross Motor Function Measure-88, GMFM-88) and a putative diagnostic biomarker of disease, the interferon signaling gene expression score (ISG).
RESULTS
The AGS scale score correlated with severity classifications and the composite neurologic function scores. When retrospectively applied across our natural history study, the majority of individuals demonstrated an initial decline in function followed by stable scores. Within the first 6 months of disease, the AGS score was the most dynamic. The AGS scale correlated with performance by the GMFM-88, but did not correlate with ISG levels.
CONCLUSIONS
This study demonstrates the utility of the AGS scale as a multimodal tool for the assessment of neurologic function in AGS. The AGS scale correlates with clinical severity and with a more labor-intensive tool, GMFM-88. This study underscores the limitations of the ISG score as a marker of disease severity. With the AGS scale, we found that AGS neurologic severity is the most dynamic early in disease. This novel AGS scale is a promising tool to longitudinally follow neurologic function in this unique population.

Identifiants

pubmed: 32279991
pii: S1096-7192(20)30082-2
doi: 10.1016/j.ymgme.2020.03.008
pmc: PMC7366613
mid: NIHMS1608143
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

153-160

Subventions

Organisme : NCATS NIH HHS
ID : 1 U54TR002823-01
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001879
Pays : United States
Organisme : NINDS NIH HHS
ID : U54 NS115052
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS114113
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS106845
Pays : United States

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

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Auteurs

Laura A Adang (LA)

Division of Neurology, Children's Hospital of Philadelphia, United States. Electronic address: adangl@email.chop.edu.

Francesco Gavazzi (F)

Division of Neurology, Children's Hospital of Philadelphia, United States.

Abbas F Jawad (AF)

Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at University of Pennsylvania, United States.

Stacy V Cusack (SV)

Division of Occupational Therapy, Children's Hospital of Philadelphia, United States.

Kimberly Kopin (K)

Division of Physical Therapy, Children's Hospital of Philadelphia, United States.

Kyle Peer (K)

Division of Neurology, Children's Hospital of Philadelphia, United States.

Constance Besnier (C)

Division of Neurology, Children's Hospital of Philadelphia, United States.

Micaela De Simone (M)

Child Neurology and Psychiatry Unit, ASST Spedali Civili of Brescia, Italy.

Valentina De Giorgis (V)

Department of Child Neurology and Psychiatry, IRCCS Mondino Foundation, Pavia, Italy.

Simona Orcesi (S)

Department of Child Neurology and Psychiatry, IRCCS Mondino Foundation, Pavia, Italy.

Elisa Fazzi (E)

Child Neurology and Psychiatry Unit, ASST Spedali Civili of Brescia, Italy.

Jessica Galli (J)

Child Neurology and Psychiatry Unit, ASST Spedali Civili of Brescia, Italy.

Justine Shults (J)

Department of Biostatistics, Perelman School of Medicine at University of Pennsylvania, United States.

Adeline Vanderver (A)

Division of Neurology, Children's Hospital of Philadelphia, United States.

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Classifications MeSH