Antibiotic exposure even in low-dose could have potential adverse health effects, especially during early life. There is a lack of data on antibiotic burdens in early infancy. We aim to assess antibiotic exposure in infants from birth to 6 months of age, their related affecting factors and the association between antibiotic exposure and infancy growth. Urine samples were collected at ages of 3 days, 42 days, 3 months and 6 months from 197 term-born Chinese infants. A total of 33 representative antibiotics were measured by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Urinary antibiotics were detectable in 69.4%, 63.2%, 75.0% and 84.3% of infants at ages of 3 days, 42 days, 3 and 6 months, respectively. The dominant antibiotic categories detected were: Preferred as Veterinary Antibiotics (PVAs), Human Antibiotics (HAs), and Veterinary Antibiotics (VAs). The detectable rates were 30.6%, 45.8%, 58.9%, and 81.4% for PVAs, 34.1%, 20.8%, 28.6%, and 45.1% for HAs, and 36.5%, 12.5%, 6.3%, and 5.9% for VAs, at age 3 days, 42 days, 3 and 6 months, respectively. Urinary concentrations of HAs and preferred as human antibiotics (PHAs) in newborns at age 3 days were not associated with maternal intrapartum antibiotic prophylaxis. Similarly, no associations were observed between urinary antibiotics concentration and antibiotics use in infants at age 42 days or 6 months. The numbers and concentrations of urine detectable antibiotics were similar between infants with exclusive breastfeeding and infants fed with formula or mixed-feeding at all ages of 42 days, 3 and 6 months. At age of 42 days, infants in the low tertile of total antibiotics concentration or with one antibiotic detected had higher weight-for-length Z score and greater head circumference, compared to infants with no antibiotics detected. No associations were found between urinary antibiotics and any of the infant anthropometric measures at age 6 months. In conclusion, urinary antibiotics were detectable in most infants during the first 6 months of life, and PVAs, HAs and VAs were the most commonly detected antibiotics. This suggested the possibility of a foods-originated antibiotics exposure in children. No strong nor consistent associations were found between urinary antibiotic concentration and infant growth at the first six months of life. Still, attention is needed on the adverse health effect of early life exposure to antibiotics in future studies.
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http://dx.doi.org/10.1016/j.ecoenv.2023.115196 | DOI Listing |
J Med Microbiol
January 2025
Parul Institute of Applied Sciences, Faculty of Applied Sciences, Parul University, Vadodara, Gujarat 391760, India.
The rise in antimicrobial resistance poses a significant threat to global health, particularly among diabetic patients who are prone to urinary tract infections (UTIs). Pathogens that cause UTI among diabetic patients exhibit significant multidrug resistance (MDR) patterns, necessitating more precise empirical treatment strategies..
View Article and Find Full Text PDFIndian J Nephrol
July 2024
Department of Nephrology, M S Ramaiah Medical College, Bangalore, India.
Background: Carbapenem-resistant urinary tract infections (CR-UTIs) are a major global health threat. Many factors contribute to the increasing incidence of CR-UTI. Owing to the limited availability of treatment options, CR-UTIs are highly challenging to treat.
View Article and Find Full Text PDFBMC Res Notes
January 2025
Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, 37000, Pakistan.
Objective: The dispensing of non-prescription antibiotics is a worldwide concern, and antibiotics should only be dispensed with a legitimate prescription.
Methodology: A cross-sectional study was conducted using the simulated client methodology, with data collected, recorded, and analyzed using SPSS.
Results: The simulated client visited 210 pharmacies, of which 70 dispensed antibiotics without a prescription.
NPJ Digit Med
January 2025
Maccabi Healthcare Services, Tel Aviv, 6812509, Israel.
Urinary tract infections (UTIs) often prompt empiric outpatient antibiotic prescriptions, risking mismatches. This study evaluates the impact of "UTI Smart-Set" (UTIS), an AI-driven decision-support tool, on prescribing patterns and mismatches in a large outpatient organization. UTIS integrates machine learning forecasts of antibiotic resistance, patient data, and guidelines into a user-friendly order set for UTI management.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Ikram Din Ujjan, PhD Department of Pathology, Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan.
Objective: To determine the prevalence of antimicrobial resistance (AMR) in isolated from urine cultures of patients with uncomplicated cystitis in Pakistan. Another objective was to analyze and compare the resistance rates of to specific antibiotics, conducting a year-by-year evaluation of these rates to identify trends and changes over the past seven years.
Methods: Retrospective analysis of susceptibility data of isolated from midstream urine culture samples of patients presenting in outpatient department with uncomplicated cystitis, from January 2016 to December 2022 in the section of Microbiology, Liaquat University of Medical and Health Sciences was done.
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