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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