DOI: 10.5061/dryad.hx3ffbgmm
title: Data from: Biofilm-associated multidrug-resistant and methicillin-resistant staphylococcus aureus infections in children

description: Introduction: The ability of Staphylococcus
 aureus to form biofilms—architectural complexes that cause
 chronic and recalcitrant infections—along with its notorious variant,
 methicillin-resistant S. aureus (MRSA), leads to
 multidrug-resistant (MDR) infections that are challenging to treat with
 antibiotics. This cross-sectional study investigated the prevalence of S.
 aureus infections in children (&lt;17 years) and characterized the
 antibiograms of MDR, MRSA, and biofilm-forming strains, along with their
 coexistence. Methods: S. aureus strains were isolated
 and identified from clinical samples and tested for antibiograms following
 standard microbiology guidelines. MDR strains were non-susceptible to at
 least one agent in three antimicrobial categories, whereas MRSA strains
 were cefoxitin-resistant. The gold-standard microtiter plate method was
 used to detect biofilms. Statistical analyses were performed using SPSS
 version 17.0. Results: S. aureus was detected in 9.02%
 of 543 samples, primarily from pus (79.59%, 39/49). Children aged 1 to
 &lt;3 years most commonly contracted infections (30.61%, 15/49), and
 males (67.35%, 33/49) had twice as many infections as females (32.65%,
 16/49). As high as 84.69% (83/98) of strains were penicillin-resistant,
 while 18.37% (27/147) were aminoglycoside-resistant. MDR accounted for
 79.59% (39/49) of all S. aureus infections, while MRSA
 and biofilm-formers accounted for 67.35% (33/49) and 24.49% (12/49),
 respectively. Fluoroquinolone resistance in
 non-(MDR-MRSA-biofilm-formers), MDR-MRSA, MDR-biofilm-formers, and
 MRSA-biofilm-formers was 31.25%, 46.77%, 58.33%, and 60%, respectively,
 while aminoglycoside resistance was 0%, 32.26%, 50.0%, and 45.0%, and
 penicillin resistance was 87.50%, 85.48%, 100.0%, and 100.0%.
 Conclusion: S. aureus, mostly MDR and MRSA, caused four-fifths of
 infections in children. Compared to MDR-MRSA and
 non-(MDR-MRSA-biofilm-formers), MDR-biofilm-formers and
 MRSA-biofilm-formers triggered higher levels of antimicrobial resistance.
description: The study population was categorized into five groups based on
 their ages, &lt;1 month: Neonate, 1 month to &lt;1 year: Infant, 1
 year to &lt;3 years: Toddler, 3 years to &lt;5 years: Pre-school,
 5 years to 17 years: School. Demographic information and laboratory
 findings were collected using a patient information sheet and recorded
 using Microsoft Excel version 10.0. Communication with involved healthcare
 providers clarified any unclear or missing records. The
 data was analyzed using descriptive statistics in SPSS software version
 17.0, providing frequencies and percentages as key indicators.
 Quantitative variables were analyzed by independent student
 <em>t</em>-test, while qualitative variables by chi-square
 test. The threshold for determining statistical significance was
 established as p&lt;0.05.
description: # Biofilm-Associated Multidrug-Resistant and Methicillin-Resistant
 Staphylococcus aureus Infections in Children
 ## Description of the data
 and file structure The dataset is of paediatric patients with
 Staphylococcus auresus infection. Dataset comprises single sheet. The
 sheet details for demographic information, such as age and gender of the
 patients; clinical information, including clinical samples;
 microbiological findings comprising antimicrobial resistance patterns of
 S. aureus, multi-drug-resistant or non-multi-drug-resistant, biofilm
 formers or non-formers. Exact age is removed and is categorized as age
 group in order to anonymize the data. S. auresus strains from patients
 with infections were coded with alphanumeric with initial Isolate.
 (Isolate 1, Isolate23, etc.). Units of the study variables were standard
 and as follows: (a) Age group Years (b) Optical densities (ODs) nanometer
 (nm) Disc diffusion or antimicrobial susceptibility testing was done with
 Kirby Bauer Disc Diffusion method. Except for values of ODs and multiple
 antibiotic resistance index, the data were qualitative and were calculated
 as frequency (percentage) in SPSS version 17.0. Quantitative variables
 were calculated as median (interquartile range). While quantitative
 variables were analyzed using t-test for statistical correlations,
 qualitative variables were tested using chi-square test at 95% confidence
 interval. Multiple antibiotic resistance index is calculated as divison of
 total antibiotic resistance (n) / total antibiotics tested (N) OD
 represents Optical density, R represents resistant, S represents
 susceptibile, MARI = multiple antibiotic resistance index, MDR represents
 multi-drug-resistant. Readers may access the data from the Dryad
 repository or with a request email to the corresponding author, Ajaya
 Basnet (), of the article.