BackgroundPrescribing of systemic antibiotics in general and of cephalosporins in particular in German paediatric outpatients has previously been reported to be higher than in other European countries.AimOur objective was to assess recent trends in antibiotic prescribing in German children.MethodsThis study was conducted as consecutive annual cross-sectional analyses and included all children aged 0-14 years (n = 9,389,183 in 2018) covered by statutory health insurance in Germany. Annual antibiotic prescription rates from 2010 to 2018 were calculated for the age groups 0-1, 2-5, 6-9 and 10-14 years. Poisson regression was used to estimate trends of prescription rates by age group and antibiotic subgroup.ResultsOverall, the age-standardised antibiotic prescription rate decreased significantly by 43% from 746 prescriptions per 1,000 persons in 2010 to 428 per 1,000 in 2018 (p < 0.001). Reductions were most pronounced in the age groups 0-1 year (-50%) and 2-5 years (-44%). The age group 2-5 years exhibited the highest prescription rate with 683 per 1,000 in 2018 (0-1 year: 320/1,000; 6-9 years: 417/1,000; 10-14 years: 273/1,000). Cephalosporins (second and third generation) accounted for 32% of prescribed antibiotics.ConclusionsMarked reductions in antibiotic prescribing during the last decade indicate a change towards more judicious paediatric prescribing habits. Compared with other European countries, however, prescribing of second- and third-generation cephalosporins remains high in Germany, suggesting frequent first-line use of these substances for common respiratory infections. Considerable regional variations underline the need for regionally targeted interventions.
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http://dx.doi.org/10.2807/1560-7917.ES.2020.25.31.1900599 | DOI Listing |
Ecology
January 2025
Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, California, USA.
Understanding how foundation species recover from disturbances is key for predicting the future of ecosystems in the Anthropocene. Coral reefs are dynamic ecosystems that can undergo rapid declines in coral abundance following disturbances. Understanding why some reefs recover quickly from these disturbances whereas others recover slowly (or not at all) gives insight into the drivers of community resilience.
View Article and Find Full Text PDFJ Perinatol
January 2025
University of California, San Diego, Rady Children's Hospital of San Diego, La Jolla, CA, USA.
Objective: Evaluate the changes in management and outcomes of Californian infants with hypoxic ischemic encephalopathy (HIE).
Study Design: Infants with HIE were identified from a California administrative birth cohort using ICD codes and divided into two epochs, Epoch 1 (2010-2015) and Epoch 2 (2016-2019). Risk ratios (RR) for induced hypothermia (IH) in each epoch and their outcomes were calculated using log-linear regression.
Transl Psychiatry
January 2025
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Peripheral inflammatory markers (PIMs), such as C-reactive protein (CRP) or white blood cell count (WBC), have been associated with depression severity in meta-analyses and large cohort studies. However, in typically-sized psychoimmunology studies (N < 200) that explore associations between PIMs and neurobiological/psychosocial constructs related to depression and studies that examine less-studied PIMs (e.g.
View Article and Find Full Text PDFMicroorganisms
January 2025
Department of Virology, National Institute of Public Health NIH-National Research Institute, 00-791 Warsaw, Poland.
Respiratory Syncytial Virus (RSV) is a prevalent pathogen of the respiratory tract, posing a significant threat to individuals with compromised immune systems, particularly the elderly and neonates in hospital settings. The primary objective of this study was to identify a specific period within the epidemic season during which healthcare providers can anticipate an increased incidence of RSV infections and characterize the epidemic season in Poland. Molecular biology techniques were employed to diagnose samples at Sanitary Stations and the National Institute of Public Health (NIC) in Warsaw.
View Article and Find Full Text PDFBiomedicines
January 2025
Embrapa Genetic Resources and Biotechnology, Laboratory of Nanobiotechnology (LNANO), Brasília 70770-917, DF, Brazil.
Machine learning is used to analyze images by training algorithms on data to recognize patterns and identify objects, with applications in various fields, such as medicine, security, and automation. Meanwhile, histological cross-sections, whether longitudinal or transverse, expose layers of tissues or tissue mimetics, which provide crucial information for microscopic analysis. : This study aimed to employ the Google platform "Teachable Machine" to apply artificial intelligence (AI) in the interpretation of histological cross-section images of hydrogel filaments.
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