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Original Research

Socioeconomic status in HCV infected patients – risk and prognosis

, , , , , , , & show all
Pages 163-172 | Published online: 31 May 2013

Figures & data

Table 1 Characteristics of the 3016 hepatitis C virus (HCV) infected patients and the 15,080 controls

Figure 1 Odds ratios for being diagnosed with hepatitis C virus according to employment, income, and educational level.

Note: Odds ratios for each variable are adjusted for the other variables in the figure.
Abbreviations: CCI, Charlson Comorbidity Index; CI, confidence intervals; OR, odds ratio.
Figure 1 Odds ratios for being diagnosed with hepatitis C virus according to employment, income, and educational level.

Figure 2 The association between socioeconomic status and survival in hepatitis C virus infected patients.

Note: Associations are expressed as mortality rate ratios, with associated 95% confidence intervals. Mortality rate ratios for each variable are adjusted for the other variables in the figure.
Abbreviations: CCI, Charlson Comorbidity Index; CI, confidence intervals; MMR, mortality rate ratio.
Figure 2 The association between socioeconomic status and survival in hepatitis C virus infected patients.

Figure 3 Survival with respect to time (years) after hepatitis C virus diagnosis according to employment and income (the year before diagnosis). The five columns indicate the number of patients at risk in each patient category to the following time points: 0 years, 2 years, 4 years, 6 years and 8 years since study inclusion.

Abbreviation: CI, confidence intervals.
Figure 3 Survival with respect to time (years) after hepatitis C virus diagnosis according to employment and income (the year before diagnosis). The five columns indicate the number of patients at risk in each patient category to the following time points: 0 years, 2 years, 4 years, 6 years and 8 years since study inclusion.

Table S1 Coding algorithm used for comorbid conditions in the Charlson Comorbidity Index