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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Arthritis Rheumatol. 2020 Feb 12;72(4):658–666. doi: 10.1002/art.41144

Table 4.

Negative binomial regression models for the association of baseline SLICC-FI and SDI scores with the change in SDI scores during follow-up among SLE patients, excluding damage-related health deficits from the SLICC-FI.

Univariable model
(n=1549)
Multivariable model a
(n = 1539)

Incidence Rate Ratio
(95% CI)
Incidence Rate Ratio
(95% CI)
Model 1: SLICC-FI
 SLICC-FI b (per 0.05) 1.17 (1.12 – 1.21) 1.13 (1.09 – 1.17)
Model 2: SDI
 SDI (per 1.0) 1.31 (1.20 – 1.43) 1.17 (1.07 – 1.28)
Model 3: SLICC-FI & SDI
 SLICC-FI b (per 0.05) 1.15 (1.11 – 1.20) 1.12 (1.08 – 1.16)
 SDI (per 1.0) 1.26 (1.15 – 1.37) 1.15 (1.05 – 1.25)

Overall model comparisons LR test statistic
(p value)
LR test statistic
(p value)
 Model 1 vs. Model 3 26.46 (p<0.0001) 10.74 (p=0.001)
 Model 2 vs. Model 3 61.25 (p<0.0001) 35.72 (p<0.0001)

Akaike Information Criteria (AIC)
 Model 1: SLICC-FI 3752.61 3577.12
 Model 2: SDI 3787.41 3602.09
 Model 3: SLICC-FI & SDI 3728.16 3568.37
a

Models adjusted for the following baseline characteristics: age, sex, steroid use, antimalarial use, immunosuppressive use, ethnicity/location, post-secondary education, and SLEDAI-2K.

b

Baseline SLICC-FI calculated using the 33 health deficits not related to organ damage.

Notes: SLICC = Systemic Lupus International Collaborating Clinics; FI = Frailty Index; SDI = SLICC / ACR Damage Index; LR = Likelihood Ratio