Objective. To measure the impact generated by the implementation of the pharmacy-driven antimicrobial stewardship program of the Clínica Bíblica Hospital. Methods. This is a retrospective observational study that evaluates the consumption of antibiotics for the periods before and during implementation of the Clínica Bíblica Hospital antimicrobial stewardship program, calculated by means of defined daily dose per 1 000 patient-days and days of therapy per 1 000 patient-days. In addition, bacterial resistance patterns for the periods 2014–2015 and 2016–2017 were compared. Results. Consumption of most-used antibiotics was calculated, looking for trends that might be associated with the activities implemented by the Clínica Bíblica Hospital antimicrobial stewardship program. Comparing some of the antibiotics with the highest consumption in periods I and II, use of levofloxacin and ceftriaxone showed a decrease of 54.0% (p < 0.001) and 14.6% (p = 0.003), respectively, whereas there was an increase in the use of cefazolin of 4 539.3% (p < 0.001). Regarding percentage of bacterial resistance, in most bacterial isolates no statistically significant changes were observed between the two periods. Conclusions. A reduction in the overall consumption of antibiotics has been achieved over time, most likely attributable to the antimicrobial stewardship program. However, this trend was not observed for all the antibiotics studied. The pattern of resistance among the commonly isolated microorganisms did not vary greatly between the periods studied, which suggests that either the antimicrobial stewardship program may have prevented an increase in bacterial resistance since its implementation, or that it is too soon to see impact on bacterial resistance.

FASTHUG is a mnemonic used by intensive care physicians to ensure the proper management of patients admitted to an Intensive Care Unit (ICU). FASTHUG-MAIDENS is a modified version that incorporates key pharmacotherapeutic elements such as delirium management, drug dosing, and drug interactions for an appropriate medication assessment of critically ill patients. An analytical cross-sectional study of hospitalized patients was carried out to determine aspects related to the pharmacotherapeutic management of critically ill patients that required to be optimized, to design and implement a protocol based on the FASTHUG-MAIDENS mnemonic. A total of 435 evaluations were performed to assess the status of current critical patient management. The main parameters with opportunities to be improved were analgesia, feeding, and sedation. With the implementation of MAIDENS, the parameters of analgesia, sedation, and thromboprophylaxis showed an increase in the percentage of optimal management. Furthermore, 103 drug-related problems were detected, and most of them were associated with feeding (21.3%), glucose control (11.7%), and delirium (9.7%). The FASTHUG MAIDENS protocol implementation allows for the evaluation of more vital aspects in the management of critically ill patients. The daily review of patients admitted to the ICU by a clinical pharmacist (CP) using the FASTHUG-MAIDENS checklist instead of the FASTHUG mnemonic facilitates the identification of DRPs for the performance of possible interventions by the CP to improve the pharmacotherapeutic management.

Background: Invasive fungal infections significantly contribute to mortality and morbidity rates. Despite the presence of all four major classes of antifungal medications, it is estimated that these infections result in the death of 1.5 million people each year, and death rates are increasing at an alarming rate. With increasing concerns about the emergence of antifungal resistance, there is a growing consideration in many countries to incorporate antifungal stewardship into existing antimicrobial stewardship programs. This approach aims to address issues hindering the appropriate use of antifungal drugs and to optimize their utilization. Methods: An analytical retrospective study of 48 hospitalized patients was conducted to assess factors related to the use of systemic antifungals and develop and implement an internal protocol to improve its use. Results: All patients with severe comorbidity had SOFA scores linked with a mortality risk of more than 10%. Based on 48 evaluations of antifungal orders, 62.5% were considered appropriate, 14.6% were considered debatable, and 22.9% were considered inappropriate. Infectious disease physicians made most of the prescriptions considered appropriate in this study. Conclusions: Comorbidities and risk factors in patients receiving systemic antifungals can be associated with the development of more serious fungal infections; hence, the implementation of antifungal stewardship as a complement to antimicrobial stewardship programs can help facilitate decision-making when dealing with a suspected case of fungal infection.

COVID-19 is a disease caused by the novel Coronavirus SARS-CoV-2 causing an acute respiratory disease that can eventually lead to severe acute respiratory syndrome (SARS). An exacerbated inflammatory response is characteristic of SARS-CoV-2 infection, which leads to a cytokine release syndrome also known as cytokine storm associated with the severity of the disease. Considering the importance of this event in the immunopathology of COVID-19, this study analyses cytokine levels of hospitalized patients to identify cytokine profiles associated with severity and mortality. Using a machine learning approach, 3 clusters of COVID-19 hospitalized patients were created based on their cytokine profile. Significant differences in the mortality rate were found among the clusters, associated to different CXCL10/IL-38 ratio. The balance of a CXCL10 induced inflammation with an appropriate immune regulation mediated by the anti-inflammatory cytokine IL-38 appears to generate the adequate immune context to overrule SARS-CoV-2 infection without creating a harmful inflammatory reaction. This study supports the concept that analyzing a single cytokine is insufficient to determine the outcome of a complex disease such as COVID-19, and different strategies incorporating bioinformatic analyses considering a broader immune profile represent a more robust alternative to predict the outcome of hospitalized patients with SARS-CoV-2 infection.

Heart failure (HF) is a syndrome suffered by more than 26 million people worldwide. SGLT2 inhibitors are drugs that have been shown to positively affect the management of HF patients, regardless of their diabetes status. A retrospective observational study was conducted on heart failure patients with reduced ejection fraction (HFrEF) enrolled at the HF clinic, who were on SGLT2 inhibitors. For these patients, baseline and follow-up data were collected and analyzed over time. Changes over time were quantified and statistical analysis was conducted to validate whether the changes were significant. After the screening of all the HF program patients, 24 met the inclusion criteria, with an average age of 68 years. Through the study, it was possible to find a statistically significant difference in the values of NT-ProBNP before and after adding a SGLT2 inhibitor in 14 patients (p = 0.0214). In addition, there was an improvement in the NYHA functional scale of 71% and no significant change in renal function or other laboratory values. Based on the studied parameters and throughout the clinical changes during the follow-up period, it was possible to establish an improvement in HFrEF patients on SGLT2 inhibitors as part of their therapy.