Predicting Liver Disease Risk Using a Combination of Common Clinical Markers: A Screening Model from Routine Health Check-Up.
Journal
Disease markers
ISSN: 1875-8630
Titre abrégé: Dis Markers
Pays: United States
ID NLM: 8604127
Informations de publication
Date de publication:
2020
2020
Historique:
received:
26
02
2020
revised:
02
05
2020
accepted:
15
05
2020
entrez:
23
6
2020
pubmed:
23
6
2020
medline:
15
4
2021
Statut:
epublish
Résumé
Early detection is crucial for the prognosis of patients with autoimmune liver disease (AILD). Due to the relatively low incidence, developing screening tools for AILD remain a challenge. To analyze clinical characteristics of AILD patients at initial presentation and identify clinical markers, which could be useful for disease screening and early detection. We performed observational retrospective study and analyzed 581 AILD patients who were hospitalized in the gastroenterology department and 1000 healthy controls who were collected from health management center. Baseline characteristics at initial presentation were used to build regression models. The model was validated on an independent cohort of 56 patients with AILD and 100 patients with other liver disorders. Asymptomatic AILD individuals identified by the health check-up are increased yearly (from 31.6% to 68.0%, Screening for AILD with described parameters can detect AILD in routine health check-up early, effectively and economically. Eight variables in routine health check-up are associated with AILD and the combination of them shows good ability of identifying high-risk individuals.
Sections du résumé
BACKGROUND
BACKGROUND
Early detection is crucial for the prognosis of patients with autoimmune liver disease (AILD). Due to the relatively low incidence, developing screening tools for AILD remain a challenge.
AIMS
OBJECTIVE
To analyze clinical characteristics of AILD patients at initial presentation and identify clinical markers, which could be useful for disease screening and early detection.
METHODS
METHODS
We performed observational retrospective study and analyzed 581 AILD patients who were hospitalized in the gastroenterology department and 1000 healthy controls who were collected from health management center. Baseline characteristics at initial presentation were used to build regression models. The model was validated on an independent cohort of 56 patients with AILD and 100 patients with other liver disorders.
RESULTS
RESULTS
Asymptomatic AILD individuals identified by the health check-up are increased yearly (from 31.6% to 68.0%,
CONCLUSION
CONCLUSIONS
Screening for AILD with described parameters can detect AILD in routine health check-up early, effectively and economically. Eight variables in routine health check-up are associated with AILD and the combination of them shows good ability of identifying high-risk individuals.
Identifiants
pubmed: 32566041
doi: 10.1155/2020/8460883
pmc: PMC7281844
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8460883Informations de copyright
Copyright © 2020 Yi Wang et al.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
Références
Hepatology. 2007 Dec;46(6):1750-8
pubmed: 18023024
Lancet. 2015 Oct 17;386(10003):1565-75
pubmed: 26364546
Aliment Pharmacol Ther. 2012 Sep;36(6):517-33
pubmed: 22817525
Gastroenterol Res Pract. 2017;2017:2376231
pubmed: 28191014
J Gastroenterol Hepatol. 2001 Dec;16(12):1384-9
pubmed: 11851837
Eur J Gastroenterol Hepatol. 2012 May;24(5):531-4
pubmed: 22465972
J Hepatol. 2011 Feb;54(2):374-85
pubmed: 21067838
J Autoimmun. 2013 Oct;46:7-16
pubmed: 24035197
N Engl J Med. 2016 Aug 18;375(7):631-43
pubmed: 27532829
Hepatology. 2005 Jul;42(1):53-62
pubmed: 15954109
World J Hepatol. 2016 Oct 8;8(28):1157-1168
pubmed: 27729952
Clin Liver Dis. 2018 Aug;22(3):603-611
pubmed: 30259856
JAMA. 2012 Feb 22;307(8):832-842
pubmed: 22357834
Clin Radiol. 2003 May;58(5):372-7
pubmed: 12727165
Z Gastroenterol. 2014 Nov;52(11):1247-56
pubmed: 25390211
Hepatology. 2018 Jul;68(1):349-360
pubmed: 29222917
J Hepatol. 2014 Jan;60(1):210-23
pubmed: 24084655
Dig Dis. 2015;33 Suppl 2:2-12
pubmed: 26641102
J Neurotrauma. 2004 Jul;21(7):886-93
pubmed: 15307901
J Hepatol. 2015 Oct;63(4):971-1004
pubmed: 26341719
J Hepatol. 2019 Apr;70(4):773-784
pubmed: 30465775
J Hepatol. 2018 Oct;69(4):873-877
pubmed: 29885414
Nat Rev Gastroenterol Hepatol. 2016 Aug;13(8):473-85
pubmed: 27353402
J Clin Gastroenterol. 2008 Sep;42(8):931-6
pubmed: 18645531
Liver Int. 2015 Nov;35(11):2474-82
pubmed: 25809419
Liver Int. 2017 Mar;37(3):449-457
pubmed: 27541063
Clin Gastroenterol Hepatol. 2011 Jan;9(1):57-63
pubmed: 20723617
J Hepatol. 2015 Jan;62(1):208-18
pubmed: 25234946
Scand J Gastroenterol. 2014 Oct;49(10):1245-54
pubmed: 25123213
Hepatology. 2013 Jun;57(6):2399-406
pubmed: 23359353