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. 2023 Oct 13;11(10):2782. doi: 10.3390/biomedicines11102782

Table 3.

Demographics’ and disease characteristics’ relation to blood composite scores.

Beta Coef. (95%), p
SIRI × 10−3 NLR MLR PLR
p p * p p * p p * p p *
Age, years 0.0009 (−0.01–0.01) 0.87 −0.003 (−0.02–0.01) 0.67 −0.001 (−0.004–0.001) 0.32 −2 (−3–(−1)) 0.002
Female −0.8 (−1–(−0.3)) 0.001 −1 (−1–0.1) 0.091 −0.05 (−0.2–0.05) 0.30 37 (−6–81) 0.096
Body mass index, kg/m2 0.02 (−0.003–0.04) 0.082 0.02 (−0.008–0.06) 0.14 0.02 (−0.002–0.007) 0.32 1 (−1–3) 0.49
Cardiovascular co-morbidity
Smoking −0.03 (−0.3–0.3) 0.85 −0.2 (−1–0.3) 0.48 −0.06 (−0.1–0.004) 0.065 −31 (−58–(−4)) 0.023
Diabetes 0.1 (−1–1) 0.72 −0.2 (−1–1) 0.68 −0.08 (−0.2–0.04) 0.21 33 (−86–20) 0.22
Hypertension −0.06 (−0.2–0.3) 0.68 0.03 (−0.4–0.4) 0.88 0.009 (−0.05–0.07) 0.77 −17 (−41–8) 0.18
Obesity 0.3 (0.04–1) 0.026 0.3 (−0.07–1) 0.10 0.04 (−0.02–0.1) 0.23 22 (−1–47) 0.098
Dyslipidemia 0.1 (−0.2–0.4) 0.41 0.09 (−0.3–0.5) 0.65 0.002 (−0.06–0.06) 0.95 −20 (−46–6) 0.12
Statins 0.02 (−0.3–0.3) 0.90 −0.3 (−1–0.1) 0.14 −0.03 (−0.1–0.03) 0.32 −28 (−55–(−1)) 0.040
Aspirin 0.3 (−0.001–1) 0.051 0.3 (−1–0.1) 0.23 0.04 (−0.02–0.1) 0.16 −4 (−30–23) 0.79
cIMT, microns 0.0007 (−0.0005–0.002) 0.23 0.002 (−0.0001–0.003) 0.070 0.00001 (−0.0002–0.0002) 0.92 −0.05 (−0.2–0.06) 0.38
Carotid plaque 0.2 (−0.08–0.5) 0.16 0.01 (−0.4–0.4) 0.94 0.01 (−0.04–0.07) 0.68 −37 (−61–(−12)) 0.004
SLE related data
Disease duration, years 0.005 (−0.009–0.02) 0.51 −0.005 (−0.02–0.01) 0.64 0.00001 (−0.003–0.003) 0.99 −1 (−2–0.2) 0.11 0.46
CRP, mg/dL 0.006 (−0.006–0.02) 0.35 0.003 (−0.01–0.02) 0.72 0.0002 (−0.002–0.003) 0.87 0.3 (−1–1) 0.58
SLICC-DI 0.05 (−0.03–0.1) 0.19 0.38 0.04 (−0.08–0.2) 0.52 0.02 (0.002–0.03) 0.028 0.11 −2 (−9–6) 0.66
SLICC-DI ≥ 1 0.2 (−0.07–0.5) 0.14 0.48 0.1 (−0.2–0.5) 0.47 0.03 (−0.03–0.09) 0.33 −15 (−40–10) 0.25
Katz Index 0.09 (0.02–0.2) 0.011 0.020 0.08 (−0.02–0.2) 0.11 0.039 0.02 (0.007–0.04) 0.003 0.016 1 (−5–7) 0.78
Katz ≥ 3 0.3 (0.03–1) 0.028 0.055 0.3 (−0.1–1) 0.15 0.057 0.08 (0.02–0.1) 0.005 0.020 15 (−9–39) 0.22
SLEDAI −0.0004 (−0.03–0.03) 0.98 0.004 (−0.04–0.05) 0.88 0.001 (−0.006–0.008) 0.71 −0.3 (−3–3) 0.87
SLEDAI categories
No activity ref. ref. ref. ref.
Mild 0.04 (−0.3–0.3) 0.82 0.2 (−0.2–0.6) 0.39 0.02 (−0.05–0.08) 0.58 −4 (−31–24) 0.79
Moderate to very high 0.06 (−0.3–0.4) 0.77 0.2 (−0.3–0.7) 0.42 0.05 (−0.02–0.1) 0.16 10 (−23–43) 0.56
Auto-antibody profile
Anti-DNA positive −0.06 (−0.4–0.3) 0.73 0.2 (−0.3–0.6) 0.47 −0.005 (−0.07–0.06) 0.87 17 (−9–43) 0.20
ENA positive 0.1 (−0.2–0.5) 0.40 0.3 (−0.1–1) 0.19 0.27 0.08 (0.02–0.1) 0.013 0.024 40 (11–68) 0.006 0.032
Anti-SSA 0.2 (−0.2–1) 0.27 0.4 (−0.2–1) 0.22 0.09 (−0.002–0.2) 0.054 0.075 43 (5–82) 0.028 0.034
Anti-SSB −0.1 (−1–1) 0.89 1 (−1–2) 0.53 −0.03 (−0.3–0.3) 0.82 52 (−63–166) 0.37
Anti-RNP 0.04 (−0.3–0.4) 0.82 0.4 (−0.1–1) 0.13 0.27 0.1 (0.02–0.2) 0.009 0.010 49 (18–80) 0.002 0.004
Anti-Sm −0.08 (−0.6–0.4) 0.75 −0.09 (−1–1) 0.80 −0.008 (−0.1–0.1) 0.87 2 (−43–48) 0.93
Anti-ribosome 0.2 (−0.5–1) 0.53 1 (−0.3–2) 0.19 0.34 0.06 (−0.1–0.2) 0.46 34 (−31–99) 0.31
Anti-nucleosome 0.1 (−0.4–1) 0.57 1 (0.01–1) 0.047 0.099 0.1 (−0.005–0.2) 0.062 0.052 56 (12–101) 0.014 0.030
Anti-histone −0.4 (−1–0.2) 0.19 0.20 −0.5 (−1–0.3) 0.25 −0.09 (−0.2–0.04) 0.17 0.18 −17 (−69–35) 0.51
Antiphospholipid synd. 0.28 (−0.08–0.6) 0.13 0.20 0.5 (0.02–1) 0.042 0.059 0.08 (0.009–0.2) 0.029 0.057 12 (−21–45) 0.50
Antiphospholipid autoantibodies
Lupus anticoagulant 0.05 (−0.3–0.4) 0.76 0.01 (−0.5–0.5) 0.96 −0.04 (−0.1–0.03) 0.28 −22 (−57–13) 0.21
ACA IgM −0.08 (−0.6–0.4) 0.74 −0.03 (−1–1) 0.94 −0.05 (−0.1–0.05) 0.32 −2 (−50–46) 0.94
ACA IgG 0.16 (−0.2–0.5) 0.40 0.5 (−0.05–1) 0.073 0.049 0.01 (−0.06–0.09) 0.74 5 (−33–43) 0.80
Anti beta2 glycoprotein IgM −0.2 (−0.7–0.3) 0.49 −0.09 (−1–1) 0.82 −0.1 (−0.2–0.001) 0.053 0.059 −33 (−86–19) 0.21
Anti beta2 glycoprotein IgG 0.7 (0.3–1) 0.001 0.001 1 (1–2) <0.001 <0.001 0.08 (−0.006–0.2) 0.069 0.085 13 (−30–57) 0.54
Current prednisone 0.3 (0.006–0.5) 0.045 0.037 0.3 (−0.07–1) 0.11 0.08 (0.03–0.1) 0.004 0.009 13 (−10–37) 0.27
Prednisone, mg/day 0.06 (−0.01–0.1) 0.10 0.25 0.1 (0.006–0.2) 0.038 0.049 0.01 (−0.003–0.03) 0.13 0.18 3 (−3–10) 0.33
Hydroxychloroquine −0.5 (−3–2) 0.68 −1 (−4–2) 0.47 0.01 (−0.4–0.5) 0.95 8 (−18–34) 0.54
Methotrexate −0.04 (−0.4–0.5) 0.84 0.2 (−0.4–1) 0.53 0.03 (−0.06–0.1) 0.57 23 (−16–61) 0.25
Mycophenolate mofetil −0.06 (−0.4–0.5) 0.77 −0.1 (−14–0.4) 0.64 0.04 (−0.05–0.1) 0.35 −18 (−56–20) 0.36
Azathioprine 0.3 (−0.05–1) 0.089 0.065 1 (0.4–1) <0.001 <0.001 0.2 (0.08–0.2) <0.001 <0.001 85 (54–116) <0.001 <0.001
Rituximab −0.04 (−1–1) 0.92 −0.08 (−1–1) 0.89 0.02 (−0.1–0.2) 0.83 −6 (−76–63) 0.86
Belimumab 0.4 (−0.4–1) 0.30 1 (−0.3–2) 0.15 0.22 0.1 (−0.06–0.3) 0.20 83 (14–152) 0.018 0.096

In this analysis, hematological scores are considered the dependent variable. BMI: body mass index; C3 C4: complement; CRP: C reactive protein; LDL: low-density lipoprotein; ACA: anticardiolipin; cIMT: carotid intima thickness; HDL: high-density lipoprotein; ANA: antinuclear antibodies; ENA: extractible nuclear antibodies; SLEDAI: Systemic Lupus Erythematosus Disease Activity Index. Anti-ENA positive refers to being positive to any of the ENA types. Anti-RNP: Antinuclear ribonucleoprotein antibody; anti-SSA: Anti-Sjögren’s syndrome-related antigen A; anti-SSB: Anti-Sjögren’s syndrome-related antigen B; Anti-Sm: anti-Smith antibody. SLEDAI categories were defined as follows: 0, no activity; 1–5, mild; 6–10, moderate; >10, high activity; >20, very high activity. SLICC: Systemic Lupus International Collaborating Clinics/American Colleague of Rheumatology Damage Index; SIRI: systemic inflammation response index; NLR: neutrophil-to-lymphocyte ratio; PLR: platelet-to-lymphocyte ratio; MLR: monocyte-to-lymphocyte ratio. * Multivariable analysis is adjusted for demographics or cardiovascular comorbidity with a p value univariable relation to the hematological score inferior to 0.20. SIRI adjusted for female, BMI, and aspirin. NLR adjusted for female, BMI, and statins. MLR adjusted for smoking and aspirin. PLR adjusted for age, female, smoking, hypertension, obesity, dyslipidemia, and statins. Significant p values are depicted in bold. To delve deeper into the relationship between disease characteristics and hematological scores, we additionally analyzed the item-one-to-one relationship of the SLICC, SLEDAI-2K, and Katz scores with each of these scores (Table 4). Regarding SLEDAI-2K items, only the presence of vasculitis (n = 1) and pleurisy (n = 4) revealed significant positive relationships with SIRI and NL, and with PLR, respectively. Within the Katz index, the low hematocrit item showed a positive association with MLR and PLR. Regarding SLICC-DI, the neuropsychiatric and peripheral vascular domains showed a negative and positive significant relationship to, respectively, PLR and MLR. The relationships of items, not domains, of SLICC-DI to hematology scores are additionally shown in Supplementary Table S1.