| Literature DB >> 30240572 |
Rafael Oliveira Dos Reis1, Margarida Neves Souza2, Maria Cristina Piccoli Cecconi3, Loeci Timm3, Nilo Ikuta4, Daniel Simon2, Jonas Michel Wolf5, Vagner Ricardo Lunge4.
Abstract
INTRODUCTION: Nontyphoidal Salmonella serotypes are the main cause of human food-borne infection, including several hospitalization cases in the developing countries. AIM: To detect the main serotypes and to characterize the antibiotic resistance of human non-enteric and enteric nontyphoidal Salmonella from clinical isolates in Brazil.Entities:
Keywords: Antibiotic resistance; Enteritidis; Salmonella; Typhimurium
Mesh:
Substances:
Year: 2018 PMID: 30240572 PMCID: PMC9427803 DOI: 10.1016/j.bjid.2018.08.002
Source DB: PubMed Journal: Braz J Infect Dis ISSN: 1413-8670 Impact factor: 3.257
Fig. 1Salmonella serotypes most commonly reported (number of isolates) in clinical samples of the different macro-regions (CRSs) from southern Brazil. Each circle represents the frequency of the serotypes Enteritidis, Typhimurium and others in the different macro-regions (CRSs).
Descriptive analysis of salmonellosis in southern Brazil by year (2010–2015).
| Variables | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | Total |
|---|---|---|---|---|---|---|---|
| Male | 15 (45.5) | 23 (56.1) | 28 (43.7) | 31 (63.3) | 35 (53.0) | 15 (41.7) | 147 (50.9) |
| Female | 18 (54.5) | 18 (43.9) | 36 (56.3) | 18 (36.7) | 31 (47.0) | 21 (58.3) | 142 (49.1) |
| 0–5 | 2 (6.1) | 5 (12.2) | 15 (23.1) | 12 (24.5) | 12 (18.2) | 8 (22.9) | 54 (18.7) |
| 6–18 | 2 (6.1) | 7 (17.1) | 6 (9.2) | 9 (18.4) | 6 (9.1) | 4 (11.4) | 34 (11.8) |
| 19–45 | 12 (36.3) | 13 (31.7) | 14 (21.5) | 16 (32.7) | 24 (36.4) | 10 (28.6) | 89 (30.8) |
| ≥45 | 10 (30.3) | 16 (39.0) | 30 (46.2) | 12 (24.5) | 24 (36.4) | 13 (37.1) | 105 (36.3) |
| No data | 7 (21.2) | – | – | – | – | – | 7 (2.4) |
| Enteric (stool) | 18 (54.5) | 20 (48.8) | 29 (44.6) | 28 (57.1) | 46 (69.7) | 25 (71.4) | 166 (57.4) |
| Non-enteric | 15 (45.5) | 21 (51.2) | 36 (55.4) | 21 (42.9) | 20 (30.3) | 10 (28.6) | 123 (42.6) |
| Urine | 3 (21.4) | 4 (20) | 14 (41.2) | 7 (33.3) | 5 (25) | 2 (20) | 35 (29.4) |
| Abscess | – | – | 2 (5.9) | – | 1 (5) | – | 3 (2.5) |
| Aspirate | – | 2 (10) | – | – | – | – | 2 (1.7) |
| Blood | 10 (71.4) | 14 (70) | 17 (50) | 12 (57.2) | 14 (70) | 7 (70) | 74 (62.2) |
| Sterile fluids | 1 (7.1) | – | 1 (2.9) | 2 (9.5) | – | 1 (10) | 5 (4.2) |
| Emerging cases | 12 (36.4) | 7 (17.1) | 5 (7.7) | 1 (2.0) | 16 (24.2) | 4 (11.4) | 45 (15.6) |
| Sporadic cases | 21 (63.6) | 34 (82.9) | 60 (92.3) | 48 (98.0) | 50 (75.8) | 31 (88.6) | 244 (84.4) |
Sterile fluids: cerebrospinal (n = 2), ascetic (n = 1), synovial (n = 1), and pleural (n = 1).
Salmonella serotypes and antimicrobial resistance level in southern Brazil.
| Serotypes | Isolates | Antimicrobial resistance (%) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Susceptible | One or two | Three or more | Missing | ||||||
| % | % | % | % | ||||||
| Typhimurium | 140 | 48.4 | 10 | 41.7 | 42 | 31.8 | 83 | 72.2 | 5 |
| Enteritidis | 53 | 18.3 | 0 | 0.0 | 39 | 29.5 | 10 | 8.7 | 4 |
| Infantis | 18 | 6.2 | 2 | 8.3 | 12 | 9.1 | 3 | 2.6 | 1 |
| Newport | 13 | 4.5 | 3 | 12.5 | 6 | 4.5 | 3 | 2.6 | 1 |
| 11 | 3.8 | 1 | 4.2 | 4 | 3.0 | 6 | 5.2 | 0 | |
| Panama | 10 | 3.4 | 1 | 4.2 | 5 | 3.8 | 2 | 1.7 | 2 |
| Agona | 6 | 2.1 | 0 | 0.0 | 4 | 3.0 | 2 | 1.7 | 0 |
| Give | 4 | 1.4 | 1 | 4.2 | 2 | 1.5 | 1 | 0.9 | 0 |
| Braenderup | 3 | 1.0 | 0 | 0.0 | 3 | 2.3 | 0 | 0.0 | 0 |
| Corvallis | 3 | 1.0 | 2 | 8.3 | 1 | 0.8 | 0 | 0.0 | 0 |
| Derby | 3 | 1.0 | 0 | 0.0 | 3 | 2.3 | 0 | 0.0 | 0 |
| Dublin | 3 | 1.0 | 0 | 0.0 | 2 | 1.5 | 1 | 0.9 | 0 |
| Ohio | 3 | 1.0 | 1 | 4.2 | 1 | 0.8 | 0 | 0.0 | 1 |
| Saintpaul | 3 | 1.0 | 0 | 0.0 | 2 | 1.5 | 0 | 0.0 | 1 |
| Hadar | 2 | 0.7 | 0 | 0.0 | 1 | 0.8 | 1 | 0.9 | 0 |
| Muenchen | 2 | 0.7 | 0 | 0.0 | 2 | 1.5 | 0 | 0.0 | 0 |
| Oranienburg | 2 | 0.7 | 0 | 0.0 | 0 | 0.0 | 1 | 0.9 | 1 |
| Rissen | 2 | 0.7 | 2 | 8.3 | 0 | 0.0 | 0 | 0.0 | 0 |
| 2 | 0.7 | 0 | 0.0 | 2 | 1.5 | 0 | 0.0 | 0 | |
| Albany | 1 | 0.4 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 1 |
| Bredeney | 1 | 0.4 | 0 | 0.0 | 1 | 0.8 | 0 | 0.0 | 0 |
| Heidelberg | 1 | 0.4 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 0 |
| Johannesburg | 1 | 0.4 | 1 | 4.2 | 0 | 0.0 | 0 | 0.0 | 0 |
| Mbandaka | 1 | 0.4 | 0 | 0.0 | 0 | 0.0 | 1 | 0.9 | 1 |
| Ndolo | 1 | 0.4 | 0 | 0.0 | 0 | 0.0 | 1 | 0.9 | 0 |
| Total | 289 | 100 | 24 | 8.3 | 132 | 45.6 | 115 | 46.1 | 21 |
Multidrug resistance.
Fig. 2Epidemiology of human salmonellosis in southern Brazil, 2010 to 2015. (A) Salmonella isolates from all samples. (B) Salmonella isolates from hospitalized patients. The isolates were classified into three serotypes groups: Typhimurium, Enteritidis and others.
Fig. 3Antimicrobial resistance rate of different antimicrobial agents in nontyphoidal Salmonella in southern Brazil, 2010 to 2015. The isolates were classified into four serotypes groups: Typhimurium (blue), Enteritidis (red), others (green), and with incomplete antigenic formulae (purple). Antimicrobial resistance was classified according the following antibiotics classes: aminoglycosides (Str, streptomycin, Gen, gentamicin), cephalosporins (Caz, ceftazidime, Cfo, cefoxitin), penicillins (Amp, ampicillin), quinolones (Nal, nalidixic acid, Cip, ciprofloxacin), tetracyclines (Tet, tetracycline), phenicols (Clo, chloramphenicol), folate pathway inhibitors (Tm/Sut, trimethoprim/sulfamethoxazole), nitrofurans (Nit, nitrofurantoin) and carbapenems (Imp, imipenem).