Table 3. Linear regression models predicting SDF and NLR (beta; p value [95%CI]) in infertile men.
| Sperm DNA fragmentation | Neutrophil-to-lymphocyte ratio | |||
|---|---|---|---|---|
| UVA model | MVA model | UVA model | MVA model | |
| Age | 0.42; 0.16 | 0.2; 0.76 | 1.12; 0.12 | 1.13; 0.34 |
| [-0.16–0.99] | [-0.44–0.77] | [-1.92–3.26] | [-1.92–3.11] | |
| BMI | -- | -- | 0.26; 0.02 | 0.37; 0.01 |
| -- | -- | [0.09–0.67] | [0.12–0.88] | |
| CCI ≥ 1 | 3.72; 0.01 | 2.75; 0.02 | 0.85; <0.001 | 0.72; 0.01 |
| [1.27–6.43] | [1.12–4.85] | [0.46–1.29] | [0.34–1.08] | |
| FSH | 1.83; <0.001 | 1.73; <0.001 | -- | -- |
| [1.04–2.61] | [0.94–2.49] | -- | -- | |
| Smoking status | 4.32; <0.001 | 3.69; 0.01 | 0.53; 0.001 | 0.40; 0.01 |
| Yes vs. No | [1.94–9.27] | [1.22–7.19] | [0.29–0.75] | [0.15–0.69] |
| Semen abnormalities | ||||
| No abnormalities | Ref | Ref | Ref | Ref |
| iTZS | 2.87; <0.001 | 2.31; 0.01 | 0.52; <0.001 | 0.46; <0.01 |
| [1.1 –-7.13] | [0.88–6.39] | [0.26–0.79] | [0.21–0.75] | |
| iOZS | -1.02; 0.31 | -1.13; 0.75 | 0.24; 0.21 | 0.26; 0.18 |
| [-3.12–7.13] | [-2.11–5.26] | [-0.14–0.62] | [-0.11–0.62] | |
| iAZS | 1.21; 0.39 | 1.05; 0.82 | 0.1; 0.76 | 0.14; 0.93 |
| [-7.1–6.12] | [-2.13–4.35] | [-0.22–0.29] | [-0.25–0.28] | |
| Sperm count | -0.12; <0.001 | 0.02; 0.55 | -0.002; <0.001 | -0.004; 0.98 |
| [-0.17–-0.07] | [-0.05–0.09] | [-0.003–-0.001] | [-0.001–0.08] | |
Keys: SDF = Sperm DNA fragmentation; NLR = neutrophil-to-lymphocyte ratio; UVA = Univariate model; MVA = Multivariate model, BMI = body mass index; CCI = Charlson Comorbidity Index; iTZS = Isolated teratozoospermia; iOZS = isolated oligozoospermia; iAZS = isolated asthenozoospermia;