Table 5.
Leptospira seropositivity as a predictor of kidney injury biomarkers, by job category among workers in other industries.a
| eGFRb | IL-18c | NGALc | NAGc | |
|---|---|---|---|---|
| Job category | Mean difference (95% CI) | Relative mean (95% CI) | Relative mean (95% CI) | Relative mean (95% CI) |
| Miner | 1.91 | 1.48 | 1.05 | 1.36 |
| n = 51 | (–9.11–12.93) | (0.74–2.95) | (0.65–1.69) | (0.91–2.03) |
| Construction | 10.70 | 1.50 | 0.87 | 0.53 |
| n = 56 | (–7.01–28.40) | (0.49–4.59) | (0.30–2.51) | (0.26–1.04) |
| Port worker | 13.97 | 0.87 | 0.50 | 0.63 |
| n = 53 | (–12.97–40.91) | (0.28–2.66) | (0.14–1.76) | (0.22–1.82) |
Notes: Model adjusted for age, and for sex in categories with females (miners). eGFR = estimated glomerular filtration rate (ml/min/1.73 m2), IL-18 = Interleukin 18 (pg/ml), NGAL = Neutrophil gelatinase-associated lipocalin (ng/ml), NAG = N-acetyl-D-glucosaminidase (U/L).
Seronegative individuals in each job category are the reference group.
Results represent linear regression arithmetic differences in mean eGFR between individuals with exposure to Leptospira and seronegative individuals.
Results represent linear regression multiplicative differences (relative means) in mean IL-18, NGAL, and NAG between individuals with exposure to Leptospira and seronegative individuals.