1. Background
2. Objectives
3. Methods
3.1. Statistical Analysis
4. Results
| Antibiotic Name | Sensitivity of the Isolates | Total | ||
|---|---|---|---|---|
| Community-Acquired | Hospital-Acquired | P-Value | ||
| Ampicillin/sulbactam | 0/21 (0) | 3/19 (15.8) | 0.098 b | 3/40 (7.5) |
| Ceftazidime | 83/115 (72.2) | 45/84 (53.6) | 0.007 | 128/199 (64.3) |
| Ceftriaxone | 7/22 (31.8) | 2/16 (12.5) | 0.544 b | 9/38 (23.7) |
| Cefepime | 84/115 (73.0) | 46/83 (55.4) | 0.010 | 130/198 (65.7) |
| Imipenem | 26/35 (74.3) | 12/25 (48.0) | 0.037 | 38/60 (63.3) |
| Meropenem | 84/103 (81.6) | 41/83 (49.4) | 0.000 | 125/186 (67.2) |
| Amikacin | 95/114 (83.3) | 67/84 (79.8) | 0.960 | 162/198 (81.8) |
| Tobramycin | 11/16 (68.8) | 7/10 (70.0) | 1.000 b | 18/26 (69.2) |
| Ciprofloxacin | 84/109 (77.1) | 42/75 (56.0) | 0.003 | 126/184 (68.5) |
| Trimethoprim/sulfamethoxazole | 20/37 (54.1) | 4/23 (17.4) | 0.007 b | 24/60 (40.0) |
| Colistin (E-test) | 11/11 (100) | 9/9 (100) | - | 20/20 (100) |
a n/N (%): Number of (community or hospital-acquired) or sensitive isolates/total number of examined isolates (%).
b When the conditions for Pearson’s chi-square test are not met, especially when one or more of the cells have expi < 5, an alternative approach with 2 × 2 contingency tables is to use Fisher’s exact test.
| Antibiotic Name | Sensitivity of the Isolates | ||
|---|---|---|---|
| ICU | Non-ICU | P-Value | |
| Amikacin | 24/32 (75) | 141/167 (84) | 0.194 |
| Cefepime | 17/32 (53) | 116/167 (70) | 0.072 |
| Ceftazidime | 16/31 (52) | 116/168 (69) | 0.059 |
| Ceftriaxone | 0/11 (0) | 9/26 (35) | 0.036 b |
| Ciprofloxacin | 12/26 (46) | 116/158 (73) | 0.005 |
| Imipenem | 3/11 (27) | 36/48 (75) | 0.005 b |
| Meropenem | 14/31 (45) | 112/154 (73) | 0.003 |
| Tobramycin | 2/5 (40) | 18/23 (78) | 0.123 b |
| Trimethoprim/sulfamethoxazole | 1/10 (10) | 24/49 (49) | 0.034 b |
a n/N (%): Number of (ICU or non-ICU) isolates/total number of examined isolates (%).
b When the conditions for Pearson’s chi-square test are not met, especially when one or more of the cells have expi < 5, an alternative approach with 2 × 2 contingency tables is to use Fisher’s exact test.
| Antibiotic Name | Sensitivity of the Isolates | ||
|---|---|---|---|
| Samples < 20 y | Samples > 20 y | P-Value | |
| Amikacin | 18/19 (95) | 147/180 (82) | 0.207 b |
| Cefepime | 16/20 (80) | 117/179 (65) | 0.220 b |
| Ceftazidime | 16/21 (76) | 116/178 (65) | 0.464 b |
| Ceftriaxone | 0/3 (0) | 9/34 (27) | 0.582 b |
| Ciprofloxacin | 10/10 (100) | 118/174 (68) | 0.033 b |
| Colistin | 2/2 (100) | 62/62 (100) | - |
| Imipenem | 6/7 (86) | 33/52 (64) | 0.404 b |
| Meropenem | 12/14 (86) | 114/171 (67) | 0.232 b |
| Tobramycin | 5/5 (100) | 15/23 (65) | 0.281 b |
| Trimethoprim/sulfamethoxazole | 2/4 (50) | 23/55 (42) | 1.000 b |
aSamples (y)/total number of examined isolates (%).
b When the conditions for Pearson’s chi-square test are not met, especially when one or more of the cells have expi < 5, an alternative approach with 2 × 2 contingency tables is to use Fisher’s exact test.

