Table 4.
Predictors of Aminoglycoside Resistance in Risk Prediction Modelsa
Predictor | Coefficient | Standard Error | p |
---|---|---|---|
GTR-GNR Risk Prediction Model | |||
Weight loss | 0.41 | 0.07 | <0.001 |
Facility prior to admission | 0.84 | 0.06 | <0.001 |
Hemoglobin <11 g/dL | 0.23 | 0.06 | <0.001 |
Carbapenems within 30 days | 0.49 | 0.07 | <0.001 |
Fluoroquinolones within 30 days | 0.38 | 0.07 | <0.001 |
AmR-GNR Risk Prediction Model | |||
Cystic fibrosis | 2.04 | 0.21 | <0.001 |
Male gender | 0.47 | 0.10 | <0.001 |
Facility prior to admission | 0.43 | 0.11 | <0.001 |
Ventilation during hospitalization | 0.70 | 0.10 | <0.001 |
Carbapenems within 30 days | 0.61 | 0.10 | <0.001 |
Anti-MRSA agent within 30 days | 0.53 | 0.10 | <0.001 |
aGTR = gentamycin and tobramycin resistant, GNR = gram-negative rod, AmR = amikacin resistant, MRSA = methicillin-resistant Staphylococcus aureus.