Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Jul 10;14(7):e0219396.
doi: 10.1371/journal.pone.0219396. eCollection 2019.

The inpatient hospital burden of comorbidities in HCV-infected patients: A population-based study in two Italian regions with high HCV endemicity (The BaCH study)

Affiliations

The inpatient hospital burden of comorbidities in HCV-infected patients: A population-based study in two Italian regions with high HCV endemicity (The BaCH study)

Simona Cammarota et al. PLoS One. .

Abstract

Background & aims: Hepatitis C (HCV) is associated with several extrahepatic manifestations, and estimates of the hospitalization burden related to these comorbidities are still limited. The aim of this study is to quantify the hospitalization risk associated with comorbidities in an Italian cohort of HCV-infected patients and to assess which of these comorbidities are associated with high hospitalization resource utilization.

Methods: Individuals aged 18 years and older with HCV-infection were identified in the Abruzzo's and Campania's hospital discharge abstracts during 2011-2014 with 1-year follow-up. Cardio-and cerebrovascular disease, diabetes and renal disease were grouped as HCV-related comorbidities. Negative binomial models were used to compare the hospitalization risk in patients with and without each comorbidity. Logistic regression model was used to identify the characteristics of being in the top 20% of patients with the highest hospitalization costs (high-cost patients).

Results: 15,985 patients were included; 19.9% had a liver complication and 48.6% had one or more HCV-related comorbidities. During follow-up, 36.0% of patients underwent at least one hospitalization. Liver complications and the presence of two or more HCV-related comorbidities were the major predictors of hospitalization and highest inpatient costs. Among those, patients with cardiovascular disease had the highest risk of hospitalization (Incidence Rate Ratios = 1.42;95%CI:1.33-1.51) and the highest likelihood of becoming high-cost patients (Odd Ratio = 1.37;95%CI:1.20-1.57).

Conclusion: Beyond advanced liver disease, HCV-related comorbidities (especially cardiovascular disease) are the strongest predictors of high hospitalization rates and costs. Our findings highlight the potential benefit that early identification and treatment of HCV might have on the reduction of hospitalization costs driven by extrahepatic conditions.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Percentage of HCV patients with hospitalization for acute event during the follow-up stratified by disease severity and HCV-related CMs.
CMs, comorbidities. HCV-related comorbidities included cardiovascular disease, cerebrovascular disease, renal disease and diabetes.
Fig 2
Fig 2. Mean per patient hospitalization costs during the follow-up period.

References

    1. Galbraith JW, Donnelly JP, Franco RA, Overton ET, Rodgers JB, Wang HE. National estimates of healthcare utilization by individuals with hepatitis C virus infection in the United States. Clin Infect Dis. 2014;59(6):755–64. 10.1093/cid/ciu427 - DOI - PMC - PubMed
    1. Marcellusi A, Viti R, Capone A, Mennini FS. The economic burden of HCV-induced diseases in Italy. A probabilistic cost of illness model. Eur Rev Med Pharmacol Sci. 2015;19(9):1610–20. - PubMed
    1. El Khoury AC, Wallace C, Klimack WK, Razavi H. Economic burden of hepatitis C-associated diseases: Europe, Asia Pacific, and the Americas. J Med Econ. 2012;15(5):887–96. 10.3111/13696998.2012.681332 - DOI - PubMed
    1. Polaris Observatory HCVC. Global prevalence and genotype distribution of hepatitis C virus infection in 2015: a modelling study. Lancet Gastroenterol Hepatol. 2017;2(3):161–76. 10.1016/S2468-1253(16)30181-9 - DOI - PubMed
    1. Lee MH, Yang HI, Yuan Y, L’Italien G, Chen CJ. Epidemiology and natural history of hepatitis C virus infection. World J Gastroenterol. 2014;20(28):9270–80. 10.3748/wjg.v20.i28.9270 - DOI - PMC - PubMed

Publication types

MeSH terms