ABSTRACT
Acute kidney injury (AKI) is caused by a sudden loss of renal function, resulting in the build-up of waste products and a significant increase in mortality and morbidity. It is commonly diagnosed in critically ill patients, with its occurrence estimated at up to 50% in patients hospitalized in the intensive critical unit. Despite ongoing efforts, the death rate associated with AKI has remained high over the past half-century. Thus, it is critical to investigate novel therapy options for preventing the epidemic. Many studies have found that inflammation and Toll-like receptor-4 (TLR-4) activation have a significant role in the pathogenesis of AKI. Noteworthy, challenges in the search for efficient pharmacological therapy for AKI have arisen due to the multifaceted origin and complexity of the clinical history of people with the disease. This article focuses on kidney injury's epidemiology, risk factors, and pathophysiological processes. Specifically, it focuses on the role of TLRs especially type 4 in disease development.
ABSTRACT
Pharmacist intervention has valuable input to the healthcare system by reducing medication errors, costs of treatment and improving therapeutic outcomes. This study aimed to analyze pharmacists' interventions during the verification of computerized physician order entry and to determine the association between prescribers' level and type of prescribing errors. In this cross-sectional, observational study, data collection was carried out over three months starting from 1 January 2020 to 31 March 2020. Included were 2405 interventions documented by 52 different pharmacists. The prevalence of prescribing order entry errors was 9.1%. The most identifiable type of intervention was incorrect dilution (40.2%) followed by dose substitution (27.7%). The drug category associated with a high percentage of interventions was perfusion solutions (41%), followed by antibacterial (35%). The number of junior physician orders that required pharmacist intervention was higher than other prescribers (45.2%), followed by specialist and senior physicians, (31.4% and 15.5%, respectively). Prescriber ordering time and types of prescribing errors were shown to have a significant (p < 0.05) association. Internal medicine physicians entered the highest percentage of prescribing errors, representing 22.7%. The current study concluded that TID has significant potential to reduce drug-related problems; TID fatigue is a real problem that might be under-reported and addressing this point in future studies would be of great value.
