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Table 2 Descriptive analysis of patterns of antibiotic resistance

From: Additive Bayesian networks for antimicrobial resistance and potential risk factors in non-typhoidal Salmonella isolates from layer hens in Uganda

Pattern

Antibiotic resistances (0 = susceptible, 1 = resistant*)

Frequencies of isolates per resistance pattern

Frequencies of resistances per pattern

Number of farms per resistance pattern

ID

SULFA1

CIPR2

TET3

TRIM4

SXT5

CHL6

AMP7

n

n

n

1

0

0

0

0

0

0

0

32

0

30

2

0

1

0

0

0

0

0

17

1

13

3

1

1

0

0

0

0

0

12

2

10

4

0

0

1

0

0

0

0

8

1

7

5

0

1

0

0

0

1

1

4

3

4

6

0

1

1

0

0

0

0

3

2

2

7

1

0

0

1

1

0

0

3

3

3

8

1

0

0

0

0

0

0

2

1

2

9

1

1

0

1

1

0

0

2

4

2

10

1

1

1

0

0

0

0

2

3

2

11

0

0

0

1

1

0

0

1

2

1

  1. *According to CLSI
  2. 1 Sulfonamide, 2 Ciprofloxacin, 3 Tetracycline, 4 Trimethoprim, 5 Sulfamethoxazole/Trimethoprim, 6 Chloramphenicol, 7 Ampicillin
  3. In this table summary statistics of the eleven distinct patterns of antimicrobial resistances, based on specific combinations of being susceptible for or resistant against one of the seven antimicrobials investigated are presented. The number of antimicrobial resistances per isolate range from one to a maximum of four. Thus, 32 isolates showed no resistance to any of the seven antibiotics tested, 27 to at least one antibiotic, 16 to two antibiotics, 9 against three antibiotics and 2 against four antibiotics. Additionally the number of farms from which isolates with specific resistance patterns were samples are presented. The four isolates which were resistant against ampicillin originate from four different farms