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Table 3 Univariate and multi-variate analysis of risk factor for BSI caused by CRKP compared with patients with BSI caused by CSKP

From: Risk factors for carbapenem-resistant K. pneumoniae bloodstream infection and predictors of mortality in Chinese paediatric patients

Variable CSKP (n = 84) CRKP (n = 54) Univariate analysis Multi-variate analysis
OR (95% CI) P OR (95% CI)  
Age (months) 10.9 (0.5–98.9) 46.3 (14.1–107.6) 0.021 0.067
Male 49 (58.3) 31 (57.4) 0.914
Underlying disease 67 (79.8) 51 (60.7) 0.032 0.873
 Hematologic malignancies 29 (43.3) 37 (72.5) 4.128 (1.990–8.561) < 0.001 4.712 (2.181–10.180) < 0.001
 Congenital anomalies 15 (22.4) 4 (7.8) 0.137
 Prematurity 10 (14.9) 3 (5.9) 0.343
 Solid tumors 6 (9.0) 2 (3.9) 0.638
 Malnutrition 5 (7.5) 2 (3.9) 0.849
 Immunodeficiencies 5 (7.5) 1 (2) 0.468
Prior hospitalization 58 (69.0) 43 (79.6) 0.171
Number of previous hospitalizations 1 (0–4) 3 (1–5) 0.023 0.873
Previous ICU admission 11 (13.1) 5 (9.3) 0.492
Previous surgery 9 (10.7) 8 (14.8) 0.474
Previous presence of intravascular catheter 41 (48.8) 37 (68.5) 2.283 (1.115–4.671) 0.023 0.859
Previous bacterial infections 9 (10.7) 10 (18.5) 0.194
Previous immunosuppressive therapy 33 (39.3) 33 (61.1) 2.429 (1.205–4.894) 0.012 0.551
Previous neutropenia 21 (25.0) 30 (55.6) 3.750 (1.808–7.777) < 0.001 0.161
Previous antibiotic therapy 61 (72.6) 49 (90.7) 3.695 (1.309–10.429) 0.006 0.067
Number of antibiotic agent 2 (0–3) 3 (2–5)   0.001 0.537
Cephalosporins 44 (52.4) 41 (75.9) 2.867 (1.345–6.110) 0.006 3.427 (1.513–7.766) 0.003
Penicillins 17 (20.2) 8 (14.8) 0.420
β-Lactam-β-lactamase inhibitor 23 (27.4) 21 (38.9) 0.157
Carbapenems 26 (31) 22 (40.7) 0.239
Aminoglycosides 6 (7.1) 5 (9.3) 0.654
Fluoroquinolones 0 (0.0) 2 (3.7) 0.151
Antifungal agents 22 (26.2) 28 (51.9) 3.035 (1.474–6.249) 0.002 0.271
Glycopeptides 24 (28.6) 30 (55.6) 3.125 (1.528–6.392) 0.002 0.346
Others 11 (13.1) 10 (18.5) 0.387
  1. Data are n (%) or median (IQR).
  2. P-values in bold italic shows variables with evidence of association in univariate and multi-variate analysis