Antibiotic resistance patterns of pediatric Typhoid fever at the Department of Child Health, Hasan Sadikin General Hospital, Bandung

Abstract Background: Urinary tract infections (UTIs) are among the most common infections worldwide. With continuing trends of antibiotic resistance, the etiological distribution and antibiotic susceptibility surveillance are of great importance for empirical antimicrobial therapy. However, the data may change with different ages. The aim of this study was to compare the etiological profiles and antibiotic resistance patterns of UTIs sorted by different age categories from a tertiary general hospital during a 12-year period.Methods: All positive urine culture results from non-repetitive UTI patients in our hospital from January 2009 to December 2020 were collected retrospectively. The microbial distribution and antibiotic resistance rates were analyzed by WHONET 5.6 software. The etiological profiles sorted by different age categories (newborn, pediatric, adult, and geriatric) and antibiotic resistance rates of the top 5 pathogens were analyzed.Results: A total of 13308 non-repetitive UTI patients were included in our study. Enterococcus faecium was dominant in newborn, and replaced by Escherichia coli in other age categories. The etiological profiles of different age categories were divergent, sorted by genders (male and female) and ward types (outpatient, in-patient, ICU, and emergency). Escherichia coli, Klebsiella pneumoniae, Enterococcus faecalis, Enterococcus faecium, and Pseudomonas aeruginosa were the top 5 pathogens in all age categories. The resistance rates of cefperazone-sulbactam and piperacillin-tazobactam in Escherichia coli were low in all age categories. The resistance rates of cephalosporins, carbapenems, and fluoroqinolones in Klebsiella pneumoniae were higher in geriatric patients overall. Enterococcus faecium was more resistant than Enterococcus faecalis in all age categories.Conclusions: The UTI etiological profiles and antibiotic resistance patterns were divergent among different age categories, thus different empirical antibiotic therapies should be considered for different ages.

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PNEUMOCOCCAL MENINGITIS IN INDIA: CAPSULAR TYPES, ANTIBIOTIC RESISTANCE PATTERNS AND MULTILOCUS SEQUENCE TYPING OF ISOLATES.

10.26226/morressier.5731f0d3d462b80292380261 ◽

2016 ◽

Author(s):

Vandana Govindan

Keyword(s):

Antibiotic Resistance ◽

Multilocus Sequence Typing ◽

Pneumococcal Meningitis ◽

Resistance Patterns ◽

Antibiotic Resistance Patterns

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TRENDS IN ANTIBIOTIC RESISTANCE PATTERNS IN CHILDREN HOSPITALISED FOR FEBRILE URINARY TRACT INFECTIONS IN A GERMAN PAEDIATRIC TERTIARY HOSPITAL: A SINGLE CENTRE RETROSPECTIVE ANALYSIS

10.26226/morressier.58fa1766d462b80290b51261 ◽

2017 ◽

Author(s):

Ulf Schulze-Sturm

Keyword(s):

Antibiotic Resistance ◽

Urinary Tract ◽

Retrospective Analysis ◽

Urinary Tract Infections ◽

Tertiary Hospital ◽

Single Centre ◽

Resistance Patterns ◽

Febrile Urinary Tract Infections ◽

Tract Infections ◽

Antibiotic Resistance Patterns

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Molecular characterization and antimicrobial susceptibility patterns of Clostridium difficile strains isolated from hospitals in south-east Scotland

Journal of Medical Microbiology ◽

10.1099/jmm.0.47176-0 ◽

2007 ◽

Vol 56 (7) ◽

pp. 921-929 ◽

Cited By ~ 40

Author(s):

Esvet Mutlu ◽

Allison J. Wroe ◽

Karla Sanchez-Hurtado ◽

Jon S. Brazier ◽

Ian R. Poxton

Keyword(s):

Antibiotic Resistance ◽

Clostridium Difficile ◽

Restriction Analysis ◽

Common Type ◽

Resistance Pattern ◽

Binary Toxin ◽

Resistance Patterns ◽

The Common ◽

Antibiotic Resistance Patterns ◽

Susceptibility Patterns

Clostridium difficile isolates (n=149) collected in south-east Scotland between August and October 2005 were typed by four different methods and their susceptibility to seven different antibiotics was determined. The aims were to define the types of strain occurring in this region and to determine whether there were any clonal relationships among them with respect to genotype and antibiotic resistance pattern. Ribotyping revealed that 001 was the most common type (n=113, 75.8 %), followed by ribotype 106 (12 isolates, 8.1 %). The majority of the isolates (96.6 %, n=144) were of toxinotype 0, with two toxinotype V isolates and single isolates of toxinotypes I, IV and XIII. PCR and restriction analysis of the fliC gene from 147 isolates gave two restriction patterns: 145 of pattern VII and two of pattern I. Binary toxin genes were detected in only three isolates: two isolates of ribotype 126, toxinotype V, and one isolate of ribotype 023, toxinotype IV. S-types showed more variation, with 64.5 % (n=40) of the common S-type (4939) and 21 % (n=13) of S-type 4741, with six other S-types (one to three isolates each). All ribotype 001 isolates were of the same S-type (4939), with three isolates of other ribotypes being this S-type. No resistance was found to metronidazole or vancomycin, with resistance to tetracycline only found in 4.3 % of the isolates. A high proportion of isolates were resistant to clindamycin (62.9 %), moxifloxacin, ceftriaxone (both 87.1 %) and erythromycin (94.8 %). Resistance to three antibiotics (erythromycin, clindamycin and ceftriaxone) was seen in 66 isolates, with erythromycin, ceftriaxone and moxifloxacin resistance seen in 96 isolates. Resistance to all four of these antibiotics was found in 62 isolates and resistance to five (the above plus tetracycline) in one isolate: a ribotype 001, toxinotype 0 strain. Whilst ribotype 001 was the most commonly encountered type, there was no evidence of clonal relationships when all other typing and antibiotic resistance patterns were taken into account.

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