Network analysis of autistic disease comorbidities in Chinese children based on ICD-10 codes.

Tytuł:: Network analysis of autistic disease comorbidities in Chinese children based on ICD-10 codes.
Autorzy:: Li X; Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Liu G; Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Chen W; Department of Neurology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Bi Z; School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, 511436, China. .
Liang H; Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China. .
Źródło:: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2020 Oct 17; Vol. 20 (1), pp. 268. Date of Electronic Publication: 2020 Oct 17.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Original Publication: London : BioMed Central, [2001-
MeSH Terms:: Asian People/*statistics & numerical data
Autistic Disorder/*epidemiology
Epilepsy/*epidemiology
Intellectual Disability/*epidemiology
Speech Disorders/*epidemiology
Adolescent ; Autistic Disorder/diagnosis ; Autistic Disorder/ethnology ; Child ; Child, Preschool ; Comorbidity ; Female ; Humans ; International Classification of Diseases ; Male ; Retrospective Studies
References:: J Autism Dev Disord. 2001 Oct;31(5):505-11. (PMID: 11794415)
Pediatrics. 2007 Dec;120(6):e1386-92. (PMID: 18055656)
J Neuroendocrinol. 2017 Mar;29(3):. (PMID: 28199771)
Mol Syst Biol. 2009;5:262. (PMID: 19357641)
PLoS Comput Biol. 2010 Feb 05;6(2):e1000662. (PMID: 20140234)
J Am Diet Assoc. 2010 Feb;110(2):238-46. (PMID: 20102851)
J Pediatr. 2010 Aug;157(2):259-64. (PMID: 20362301)
Pediatrics. 1997 Apr;99(4):560-6. (PMID: 9093299)
J Autism Dev Disord. 2018 Jul;48(7):2434-2443. (PMID: 29453711)
Dialogues Clin Neurosci. 2012 Sep;14(3):281-92. (PMID: 23226953)
Am Fam Physician. 2010 Dec 1;82(11):1345-50. (PMID: 21121518)
Nucleic Acids Res. 2011 Oct;39(18):e119. (PMID: 21737429)
Allergy Asthma Proc. 2012 May-Jun;33 Suppl 1:67-69. (PMID: 22794693)
Mol Autism. 2013 Apr 09;4(1):7. (PMID: 23570419)
Acta Neurobiol Exp (Wars). 2010;70(2):141-6. (PMID: 20628438)
Sci Rep. 2017 Nov 14;7(1):15561. (PMID: 29138438)
Lancet. 2014 Mar 8;383(9920):896-910. (PMID: 24074734)
J Am Acad Child Adolesc Psychiatry. 2017 Apr;56(4):313-320. (PMID: 28335875)
Appl Netw Sci. 2018;3(1):46. (PMID: 30465022)
Bioinformatics. 2013 Aug 15;29(16):2017-23. (PMID: 23749956)
Sci Data. 2018 Nov 27;5:180273. (PMID: 30480666)
Nat Rev Genet. 2012 May 02;13(6):395-405. (PMID: 22549152)
Ann Fam Med. 2009 Jul-Aug;7(4):357-63. (PMID: 19597174)
Autism Res. 2018 Jan;11(1):175-184. (PMID: 28861935)
J Leukoc Biol. 2006 Jul;80(1):1-15. (PMID: 16698940)
J Child Neurol. 2008 Jan;23(1):6-13. (PMID: 18056691)
Proc Natl Acad Sci U S A. 2007 May 22;104(21):8685-90. (PMID: 17502601)
Autism. 2017 Jul;21(5):573-580. (PMID: 28395532)
J Allergy Clin Immunol. 2013 Feb;131(2):428-33. (PMID: 23245818)
Grant Information:: 61603106 International National Natural Science Foundation of China; 2018B030335001 International Guangdong Science and Technology Department; IP-2019-017 International Guangzhou Women and Children's Medical Center
Contributed Indexing:: Keywords: Autism; Comorbidity; Disease network
Entry Date(s):: Date Created: 20201018 Date Completed: 20210112 Latest Revision: 20240329
Update Code:: 20240329
PubMed Central ID:: PMC7568351
DOI:: 10.1186/s12911-020-01282-z
PMID:: 33069223
: Czasopismo naukowe

Pełny tekst

Background: Autism is a lifelong disability associated with several comorbidities that confound diagnosis and treatment. A better understanding of these comorbidities would facilitate diagnosis and improve treatments. Our aim was to improve the detection of comorbid diseases associated with autism.
Methods: We used an FP-growth algorithm to retrospectively infer disease associations using 1488 patients with autism treated at the Guangzhou Women and Children's Medical Center. The disease network was established using Cytoscape 3.7. The rules were internally validated by 10-fold cross-validation. All rules were further verified using the Columbia Open Health Data (COHD) and by literature search.
Results: We found 148 comorbid diseases including intellectual disability, developmental speech disorder, and epilepsy. The network comprised of 76 nodes and 178 directed links. 158 links were confirmed by literature search and 105 links were validated by COHD. Furthermore, we identified 14 links not previously reported.
Conclusion: We demonstrate that the FP-growth algorithm can detect comorbid disease patterns, including novel ones, in patients with autism.

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