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. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: Liver Int. 2019 Jan 24;39(6):1027–1032. doi: 10.1111/liv.14031

TABLE 1.

Differences in exposures and treatment at index date for 1:1 matched cohort using propensity scores

Variable Response Untreated (N = 192) Treated (N = 192) P-value
Age 56.6 ± 10.0 57.6 ± 8.7 0.315
Study site GHS 39 (20%) 44 (23%) 0.783
HFHS 86 (45%) 90 (47%)
KPHI 16 (8%) 13 (7%)
KPNW 51 (27%) 45 (23%)
Sex Female 67 (35%) 67 (35%) 1.000
Male 125 (65%) 125 (65%)
Race African American 22 (11%) 20 (10%) 0.654
White 86 (45%) 79 (41%)
Other/Unknown 84 (44%) 93 (48%)
FIB4 ≤1.21 34 (18%) 33 (17%) 0.451
1.21 ≤ 5.88 101 (53%) 114 (59%)
>5.88 18 (9%) 17 (9%)
Unknown 39 (20%) 28 (15%)
Insurance Medicaid 28 (15%) 29 (15%) 0.083
Medicare 66 (34%) 46 (24%)
Private 95 (49%) 116 (60%)
None or unknown 3 (2%) 1 (1%)
Weighted Charlson-Deyo Comorbidity Score 0 6 (3%) 4 (2%) 0.699
1 70 (36%) 76 (40%)
≥2 116 (60%) 112 (58%)
Cirrhosis No 163 (85%) 170 (89%) 0.293
Yes 29 (15%) 22 (11%)
HCV genotype 1 128 (67%) 128 (67%) 0.849
2 20 (10%) 22 (11%)
3 8 (4%) 5 (3%)
Other/Unknown 36 (19%) 37 (19%)
Hypertension Yes 66 (34%) 64 (33%) 0.829
Hyperlipidaemia Yes 42 (22%) 44 (23%) 0.807
Statin use, ever Yes 122 (64%) 114 (59%) 0.402
HbA1ca 8.0 ± 2.1 7.8 ± 1.8 0.485

FIB4, Fibrosis‐4 index; GHS, Geisinger Health System; Hba1c, haemoglobin A1c; HFHS, Henry Ford Health System; KPHI, Kaiser Permanente Hawai’i; Kaiser Permanente Northwest.

a

Log scale was used for the propensity score calculation. Original scale is presented for ease of interpretation.

b

Type III analysis using Wald Chi‐square test from multiple variable logistic regression.