Publications by authors named "R N Gangapersad"
This study aims to describe the patterns and trends in antipsychotic prescription among Dutch youth before and during the corona virus disease 2019 (COVID-19) pandemic (between 2017 and 2022). The study specifically aims to determine whether there has been an increase or decrease in antipsychotic prescription among this population, and whether there are any differences in prescription patterns among different age and sex groups. The study utilized the IADB database, which is a pharmacy prescription database containing dispensing data from approximately 120 community pharmacies in the Netherlands, to analyze the monthly prevalence and incidence rates of antipsychotic prescription among Dutch youth before and during the pandemic.
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- Infection-related mortality in ICU is high and inadequate beta-lactam antibiotic treatment occurs in about 45% of patients, impacting clinical success.
- The study developed and validated prediction models using data from ICU patients to forecast beta-lactam target non-attainment, utilizing variables like age, sex, and serum creatinine.
- The random forest (RF) and logistic regression (LR) models demonstrated strong performance in predicting treatment outcomes, with good discrimination and net benefit, making them useful tools for optimizing antibiotic therapy in critical care settings.