Socioeconomic status in HCV infected patients – risk and prognosis

Lars Haukali Omland,1 Merete Osler,2 Peter Jepsen,3,4 Henrik Krarup,5 Nina Weis,6 Peer Brehm Christensen,7 Casper Roed,1 Henrik Toft Sørensen,3 Niels Obel1 On behalf of the DANVIR Cohort Study1Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, D...

Full description

Bibliographic Details
Main Authors: Oml, LH, Osler M, Jepsen P, Krarup H, Weis N, Christensen PB, Roed C, Sørensen HT, Obel N
Format: Article
Language:English
Published: Dove Medical Press 2013-05-01
Series:Clinical Epidemiology
Online Access:http://www.dovepress.com/socioeconomic-status-in-hcv-infected-patients-ndash-risk-and-prognosis-a13210
_version_ 1811308801344667648
author Oml
LH
Osler M
Jepsen P
Krarup H
Weis N
Christensen PB
Roed C
Sørensen HT
Obel N
author_facet Oml
LH
Osler M
Jepsen P
Krarup H
Weis N
Christensen PB
Roed C
Sørensen HT
Obel N
author_sort Oml
collection DOAJ
description Lars Haukali Omland,1 Merete Osler,2 Peter Jepsen,3,4 Henrik Krarup,5 Nina Weis,6 Peer Brehm Christensen,7 Casper Roed,1 Henrik Toft Sørensen,3 Niels Obel1 On behalf of the DANVIR Cohort Study1Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; 2Research Center for Prevention and Health, Copenhagen University Hospital, Glostrup Hospital, Glostrup, Denmark; 3Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 4Department of Medicine V (Hepatology and Gastroenterology), Aarhus University Hospital, Aarhus, Denmark; 5Department of Clinical Biochemistry, Aalborg Hospital, Aalborg, Denmark; 6Department of Infectious Diseases, Copenhagen University Hospital, Hvidovre Hospital, Hvidovre, Denmark; 7Department of Infectious Diseases, Odense University Hospital, Odense, DenmarkBackground and aims: It is unknown whether socioeconomic status (SES) is a risk factor for hepatitis C virus (HCV) infection or a prognostic factor following infection.Methods: From Danish nationwide registries, we obtained information on three markers of SES: employment, income, and education. In a case control design, we examined HCV infected patients and controls; conditional logistic regression was employed to obtain odds ratios (ORs) for HCV infection for each of the three SES markers, adjusting for the other two SES markers, comorbidity, and substance abuse. In a cohort design, we used Cox regression analysis to compute mortality rate ratios (MRRs) for each of the three SES markers, adjusting for the other two SES markers, comorbidity level, age, substance abuse, and gender.Results: When compared to employed persons, ORs for HCV infection were 2.71 (95% confidence interval [CI]: 2.24–3.26) for disability pensioners and 2.24 (95% CI: 1.83–2.72) for the unemployed. When compared to persons with a high income, ORs were 1.64 (95% CI: 1.34–2.01) for low income persons and 1.19 (95% CI: 1.02–1.40) for medium income persons. The OR was 1.35 (95% CI: 1.20–1.52) for low education (no more than basic schooling). When compared to employed patients, MRRs were 1.71 (95% CI: 1.22–2.40) for unemployed patients and 2.24 (95% CI: 1.63–3.08) for disability pensioners. When compared to high income patients, MRRs were 1.47 (95% CI: 1.05–2.05) for medium income patients and 1.64 (95% CI: 1.13–2.34) for low income patients. Educational status was not associated with mortality.Conclusion: Low SES was associated with an increased risk of HCV infection and with poor prognosis in HCV infected patients.Keywords: survival, socioeconomic status, risk factor, prognosis
first_indexed 2024-04-13T09:30:46Z
format Article
id doaj.art-1e1cbd9574804ec4b707d6f3d70afbf6
institution Directory Open Access Journal
issn 1179-1349
language English
last_indexed 2024-04-13T09:30:46Z
publishDate 2013-05-01
publisher Dove Medical Press
record_format Article
series Clinical Epidemiology
spelling doaj.art-1e1cbd9574804ec4b707d6f3d70afbf62022-12-22T02:52:15ZengDove Medical PressClinical Epidemiology1179-13492013-05-012013Issue 1163172Socioeconomic status in HCV infected patients – risk and prognosisOmlLHOsler MJepsen PKrarup HWeis NChristensen PBRoed CSørensen HTObel NLars Haukali Omland,1 Merete Osler,2 Peter Jepsen,3,4 Henrik Krarup,5 Nina Weis,6 Peer Brehm Christensen,7 Casper Roed,1 Henrik Toft Sørensen,3 Niels Obel1 On behalf of the DANVIR Cohort Study1Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; 2Research Center for Prevention and Health, Copenhagen University Hospital, Glostrup Hospital, Glostrup, Denmark; 3Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 4Department of Medicine V (Hepatology and Gastroenterology), Aarhus University Hospital, Aarhus, Denmark; 5Department of Clinical Biochemistry, Aalborg Hospital, Aalborg, Denmark; 6Department of Infectious Diseases, Copenhagen University Hospital, Hvidovre Hospital, Hvidovre, Denmark; 7Department of Infectious Diseases, Odense University Hospital, Odense, DenmarkBackground and aims: It is unknown whether socioeconomic status (SES) is a risk factor for hepatitis C virus (HCV) infection or a prognostic factor following infection.Methods: From Danish nationwide registries, we obtained information on three markers of SES: employment, income, and education. In a case control design, we examined HCV infected patients and controls; conditional logistic regression was employed to obtain odds ratios (ORs) for HCV infection for each of the three SES markers, adjusting for the other two SES markers, comorbidity, and substance abuse. In a cohort design, we used Cox regression analysis to compute mortality rate ratios (MRRs) for each of the three SES markers, adjusting for the other two SES markers, comorbidity level, age, substance abuse, and gender.Results: When compared to employed persons, ORs for HCV infection were 2.71 (95% confidence interval [CI]: 2.24–3.26) for disability pensioners and 2.24 (95% CI: 1.83–2.72) for the unemployed. When compared to persons with a high income, ORs were 1.64 (95% CI: 1.34–2.01) for low income persons and 1.19 (95% CI: 1.02–1.40) for medium income persons. The OR was 1.35 (95% CI: 1.20–1.52) for low education (no more than basic schooling). When compared to employed patients, MRRs were 1.71 (95% CI: 1.22–2.40) for unemployed patients and 2.24 (95% CI: 1.63–3.08) for disability pensioners. When compared to high income patients, MRRs were 1.47 (95% CI: 1.05–2.05) for medium income patients and 1.64 (95% CI: 1.13–2.34) for low income patients. Educational status was not associated with mortality.Conclusion: Low SES was associated with an increased risk of HCV infection and with poor prognosis in HCV infected patients.Keywords: survival, socioeconomic status, risk factor, prognosishttp://www.dovepress.com/socioeconomic-status-in-hcv-infected-patients-ndash-risk-and-prognosis-a13210
spellingShingle Oml
LH
Osler M
Jepsen P
Krarup H
Weis N
Christensen PB
Roed C
Sørensen HT
Obel N
Socioeconomic status in HCV infected patients – risk and prognosis
Clinical Epidemiology
title Socioeconomic status in HCV infected patients – risk and prognosis
title_full Socioeconomic status in HCV infected patients – risk and prognosis
title_fullStr Socioeconomic status in HCV infected patients – risk and prognosis
title_full_unstemmed Socioeconomic status in HCV infected patients – risk and prognosis
title_short Socioeconomic status in HCV infected patients – risk and prognosis
title_sort socioeconomic status in hcv infected patients ndash risk and prognosis
url http://www.dovepress.com/socioeconomic-status-in-hcv-infected-patients-ndash-risk-and-prognosis-a13210
work_keys_str_mv AT oml socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT lh socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT oslerm socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT jepsenp socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT kraruph socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT weisn socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT christensenpb socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT roedc socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT samposlashrensenht socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis
AT obeln socioeconomicstatusinhcvinfectedpatientsndashriskandprognosis