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1.
Appl Clin Inform ; 2024 Jun 10.
Article in English | MEDLINE | ID: mdl-38857881

ABSTRACT

Background Clinical decision support systems (CDSS) are computer applications, which can be applied to give guidance to practitioners in antimicrobial stewardship (AS) activities, however, further information is needed for their optimal use. Objectives To analyze the implementation of a CDSS program in a primary-care hospital, describing alerts, recommendations, and the effect on consumption and clinical outcomes. Methods In October 2020, a pharmacist-driven CDSS designed for AS was implemented in a second-level hospital. The program provides a list of alerts related to antimicrobial treatment and microbiology, which were automatized for revision by the AS professionals. To analyze the implementation of the CDSS, a pre-post intervention, retrospective study was designed. AS triggered alerts and recommendations (total number and rate of acceptance) were compiled. The effect of the CDSS was measured using antimicrobial consumption, duration of antimicrobial treatments, in-hospital mortality and length of stay (LOS) for patients admitted for infectious causes. Results The AS team revised a total of 7,543 alerts and 772 patients had at least one recommendation, with an acceptance rate of 79.3%. Antimicrobial consumption decreased from 691.1 to 656.8 daily defined doses (DDD)/1,000 beds-month (P = 0.04) and the duration of antimicrobial treatment from 3.6 to 3.3 days (P <0.01). In-hospital mortality decreased from 6.6% to 6.2% (P=0.46) and mean LOS from 7.2 to 6.2 days (P<0.01) Conclusion The implementation of a CDSS resulted in a significant reduction of antimicrobial DDD, duration of antimicrobial treatments and hospital LOS. There was no significant difference in mortality.

2.
Eur J Hosp Pharm ; 29(6): 340-345, 2022 Nov.
Article in English | MEDLINE | ID: mdl-33627476

ABSTRACT

INTRODUCTION: While there are no pharmacological treatments with proven efficacy for coronavirus disease 2019 (COVID-19), tocilizumab has emerged as a candidate therapy. Some aspects of this therapy are still unknown, including the optimal timing of administration. OBJECTIVE: This observational study aimed to compare the 90-day mortality in two cohorts of patients when the drug was administered within the first 10 days from onset of symptoms or after day 11. METHODS: Patients hospitalised with severe COVID-19 pneumonia who had received tocilizumab were divided into two groups according to when the medication was administered. The primary outcome was 90-day mortality. Secondary outcomes were 30-day mortality, clinical improvement on a 6-item scale by day 6, biomarker improvement by day 6, radiological image improvement by day 10 and SaO2 quotient by day 6. The results in the two groups were compared. Additionally, adverse events relating to tocilizumab were recorded. RESULTS: A total of 112 patients were analysed. Both groups were epidemiologically comparable. The results obtained in the primary efficacy variable of the study (90-day mortality) showed a statistically significant difference in the subgroups according to the time of administration of tocilizumab (18.6% vs 5.0%, p=0.048). There was clinical improvement in 24.1% of patients at 6 days, with similar behaviour in both subgroups. No statistically significant differences were found in the percentage of patients who achieved radiological improvement at 10 days or in the other inflammatory parameters, with the exception of significant reductions in lactate dehydrogenase and C-reactive protein. Administration of tocilizumab was not associated with relevant adverse events. CONCLUSION: To our knowledge, this is the first report of data regarding the timing of administration of tocilizumab in patients with COVID-19 pneumonia. A strategy involving tocilizumab administration after 10 days from onset of symptoms may decrease mortality. Further randomised controlled trials are needed to confirm this emerging hypothesis.


Subject(s)
Antibodies, Monoclonal, Humanized , COVID-19 Drug Treatment , Humans , C-Reactive Protein , Lactate Dehydrogenases , SARS-CoV-2 , Treatment Outcome
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