Liver Fibrosis and 8-Year All-Cause Mortality Trajectories in the Aging Cohort of the Salus in Apulia Study.

biomarkers chronic liver disease frailty liver fibrosis survival

Journal

Biomedicines
ISSN: 2227-9059
Titre abrégé: Biomedicines
Pays: Switzerland
ID NLM: 101691304

Informations de publication

Date de publication:
04 Nov 2021
Historique:
received: 14 10 2021
revised: 01 11 2021
accepted: 03 11 2021
entrez: 27 11 2021
pubmed: 28 11 2021
medline: 28 11 2021
Statut: epublish

Résumé

Age is a major contributor to the liver fibrosis rate and its adverse health-related outcomes, including mortality, but older populations are still under-explored. We investigated multimorbidity and inflammatory biomarkers in relation to the increasing liver fibrosis risk to delineate 8-year all-cause mortality trajectories in 1929 older adults from the population-based Salus in Apulia Study. Liver fibrosis risk was assumed using the fibrosis-4 (FIB-4) score, assigned to three liver fibrosis risk groups (low, intermediate, high). In the secondary analyses, the APRI score was also calculated to allow for comparisons. Male subjects (prevalence difference: -13.49, 95% confidence interval (CI): -18.96 to -8.03), a higher multimorbidity burden (effect size, ES: -0.14, 95% CI: -0.26 to -0.02), a higher prevalence of physical frailty (ES: 6.77, 95% CI: 0.07 to 13.47), and a more pronounced inflammatory pattern as indicated by tumor growth factor-α circulating levels (ES: -0.12, 95% CI: -0.23 to -0.01) were significantly more common in the highest-risk FIB-4 score group. Liver function characterized by lipid profile and platelet levels worsened with increasing FIB-4 risk score. The 8-year risk of death was nearly double in subjects in the highest-risk FIB-4 score group, even after controlling for possible confounders. Furthermore, a steeper mortality curve was clearly observed for FIB-4 scores as compared with the APRI scoring system with respect to liver fibrosis risk. In conclusion, using a scoring tool based on simple routine biomarkers to detect liver fibrosis risk may enhance biological knowledge of age-related outcomes of chronic liver disease and be helpful in the clinical setting to identify subjects at risk for adverse health-related outcomes, including mortality.

Identifiants

pubmed: 34829846
pii: biomedicines9111617
doi: 10.3390/biomedicines9111617
pmc: PMC8615636
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Clin Gastroenterol Hepatol. 2015 Apr;13(4):643-54.e1-9; quiz e39-40
pubmed: 24768810
Open Heart. 2017 Apr 28;4(1):e000598
pubmed: 28674631
Alzheimers Dement (N Y). 2020 Aug 24;6(1):e12065
pubmed: 32864415
Gastroenterol Hepatol (N Y). 2013 Oct;9(10):633-9
pubmed: 24764777
BMC Geriatr. 2020 Jun 12;20(1):206
pubmed: 32532213
Lancet. 2016 Oct 8;388(10053):1459-1544
pubmed: 27733281
Geroscience. 2021 Aug 11;:
pubmed: 34378088
Clin Exp Med. 2015 Feb;15(1):65-72
pubmed: 24323278
Am J Gastroenterol. 2017 May;112(5):740-751
pubmed: 27725647
Nutrients. 2020 Apr 12;12(4):
pubmed: 32290631
Hepatology. 2006 Jun;43(6):1317-25
pubmed: 16729309
Prog Cardiovasc Dis. 2020 Mar - Apr;63(2):184-191
pubmed: 32068085
J Hepatol. 2019 Jan;70(1):151-171
pubmed: 30266282
J Hepatol. 2016 Jun;64(6):1388-402
pubmed: 27062661
Clin Gastroenterol Hepatol. 2009 Oct;7(10):1104-12
pubmed: 19523535
Am J Gastroenterol. 2009 Nov;104(11):2740-6
pubmed: 19638964
Hepatol Commun. 2021 Mar;5(3):434-445
pubmed: 34553511
BMC Gastroenterol. 2019 Jun 13;19(1):90
pubmed: 31196158
Ann Hepatol. 2008 Oct-Dec;7(4):350-7
pubmed: 19034235
Gastroenterology. 2015 Aug;149(2):389-97.e10
pubmed: 25935633
J Am Med Dir Assoc. 2021 Mar;22(3):598-605
pubmed: 33493467
World J Gastroenterol. 2005 Nov 7;11(41):6422-8
pubmed: 16425410
Gastroenterology. 2020 May;158(6):1611-1625.e12
pubmed: 32027911
Curr Hepatol Rep. 2016 Jun;15(2):86-95
pubmed: 27795938
Dig Liver Dis. 2019 Sep;51(9):1330-1336
pubmed: 30808572
J Hepatol. 2018 Sep;69(3):718-735
pubmed: 29777749
Liver Transpl. 2013 Feb;19(2):122-34
pubmed: 23172830
World J Gastroenterol. 2017 May 14;23(18):3228-3239
pubmed: 28566882
JAMA Otolaryngol Head Neck Surg. 2021 Jun 1;147(6):561-571
pubmed: 33570584
Lancet Neurol. 2017 Nov;16(11):877-897
pubmed: 28931491
J Am Coll Cardiol. 2014 Jul 1;63(25 Pt B):2935-2959
pubmed: 24239921
Lancet Public Health. 2019 Mar;4(3):e159-e167
pubmed: 30851869
Liver Int. 2021 Feb;41(2):261-270
pubmed: 32946642
Eur J Intern Med. 2020 May;75:55-59
pubmed: 31982284
Mod Rheumatol. 2020 Jan;30(1):70-77
pubmed: 30557057

Auteurs

Roberta Zupo (R)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Fabio Castellana (F)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Sara De Nucci (S)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Giovanni De Pergola (G)

Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Madia Lozupone (M)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Ilaria Bortone (I)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Marco Castellana (M)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Giancarlo Sborgia (G)

Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", 70124 Bari, Italy.

Luisa Lampignano (L)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Gianluigi Giannelli (G)

Scientific Direction, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70124 Bari, Italy.

Francesco Panza (F)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Rodolfo Sardone (R)

Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Classifications MeSH