Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward.

Background: Bedside clinical pharmacy prevents drug-related problems, but is not feasible in many countries due to limited resources. Hence, clinical rules using structural information in the electronic health record can help identifying potentially inappropriate prescriptions (PIPs). We aimed to develop and implement a risk-based clinical pharmacy service and evaluate its impact on prescribing at the trauma surgery ward. Methods: The proportion of residual PIPs per day, i.e. the number of PIPs that persisted up to 24 h after pharmacist intervention divided by the number of PIPs at T0, was evaluated before and after implementation of the intervention in an interrupted time series analysis. The pre-intervention cohort received usual pharmacy services, i.e. a 0.3 FTE clinical pharmacist trainee. Fifteen clinical rules, targeting antimicrobial, anticoagulant and analgesic therapy were implemented in the post-intervention period. The pre-intervention period was compared to two post-intervention scenarios: A) clinical rule alerts reviewed by a 0.3 FTE clinical pharmacist trainee; and B) clinical rule alerts reviewed daily for approximately 1 h by a clinical pharmacist trainee. Results: Pre-intervention, a median proportion of 67% (range 0%-100%) residual PIPs per day was observed. Scenario A showed an immediate relative reduction of 14% (p = 0.72) and scenario B a significant immediate relative reduction of 85% (p = 0.0015) in residual PIPs per day. In scenario A, recommendations were provided for 19% of clinical rule alerts, of which 67% was accepted by the surgeon within 24 h. In scenario B, recommendations were given for 56% of alerts, of which 84% was accepted. Conclusions: Using clinical rules is an effective approach to organize bedside clinical pharmacy services and improves prescribing at the trauma surgery ward. Advanced training and daily follow-up of the clinical rules are two requirements to be considered.

Ways to Improve Insights into Clindamycin Pharmacology and Pharmacokinetics Tailored to Practice.

Given the increase in bacterial resistance and the decrease in the development of new antibiotics, the appropriate use of old antimicrobials has become even more compulsory. Clindamycin is a lincosamide antibiotic approved for adults and children as a drug of choice for systemic treatment of staphylococcal, streptococcal, and gram-positive anaerobic bacterial infections. Because of its profile and high bioavailability, it is commonly used as part of an oral multimodal alternative for prolonged parenteral antibiotic regimens, e.g., to treat bone and joint or prosthesis-related infections. Clindamycin is also frequently used for (surgical) prophylaxis in the event of beta-lactam allergy. Special populations (pediatrics, pregnant women) have altered cytochrome P450 (CYP)3A4 activity. As clindamycin is metabolized by the CYP3A4/5 enzymes to bioactive N-demethyl and sulfoxide metabolites, knowledge of the potential relevance of the drug's metabolites and disposition in special populations is of interest. Furthermore, drug-drug interactions derived from CYP3A4 inducers and inhibitors, and the data on the impact of the disease state on the CYP system, are still limited. This narrative review provides a detailed survey of the currently available literature on pharmacology and pharmacokinetics and identifies knowledge gaps (special patient population, drug-drug, and drug-disease interactions) to describe a research strategy for precision medicine.

Overall performance of a drug-drug interaction clinical decision support system: quantitative evaluation and end-user survey.

BACKGROUND: Clinical decision support systems are implemented in many hospitals to prevent medication errors and associated harm. They are however associated with a high burden of false positive alerts and alert fatigue. The aim of this study was to evaluate a drug-drug interaction (DDI) clinical decision support system in terms of its performance, uptake and user satisfaction and to identify barriers and opportunities for improvement. METHODS: A quantitative evaluation and end-user survey were performed in a large teaching hospital. First, very severe DDI alerts generated between 2019 and 2021 were evaluated retrospectively. Data collection comprised alert burden, override rates, the number of alert overrides reviewed by pharmacists and the resulting pharmacist recommendations as well as their acceptance rate. Second, an e-survey was carried out among prescribers to assess satisfaction, usefulness and relevance of DDI alerts as well as reasons for overriding. RESULTS: A total of 38,409 very severe DDI alerts were generated, of which 88.2% were overridden by the prescriber. In 3.2% of reviewed overrides, a recommendation by the pharmacist was provided, of which 79.2% was accepted. False positive alerts were caused by a too broad screening interval and lack of incorporation of patient-specific characteristics, such as QTc values. Co-prescribing of a non-vitamin K oral anticoagulant and a low molecular weight heparin accounted for 49.8% of alerts, of which 92.2% were overridden. In 88 (1.1%) of these overridden alerts, concurrent therapy was still present. Despite the high override rate, the e-survey revealed that the DDI clinical decision support system was found useful by prescribers. CONCLUSIONS: Identified barriers were the lack of DDI-specific screening intervals and inclusion of patient-specific characteristics, both leading to a high number of false positive alerts and risk for alert fatigue. Despite these barriers, the added value of the DDI clinical decision support system was recognized by prescribers. Hence, integration of DDI-specific screening intervals and patient-specific characteristics is warranted to improve the performance of the DDI software.

Repolarization abnormalities on admission predict 1-year outcome in COVID-19 patients.

BACKGROUND: ECG abnormalities in COVID-19 have been widely reported, however data after discharge is limited. The aim was to describe ECG abnormalities on admission and following recovery of COVID-19, and their associated mortality. METHODS: All patients hospitalized in a tertiary care hospital between March 7th and July 1st 2020 with COVID-19 were included in a retrospective registry. The first ECG on admission was collected, together with an ECG after hospital discharge in the absence of acute pathology. Automated measures and clinical ECG interpretations were collected. Multivariate Cox regression analysis was performed to predict 1-year all-cause mortality. RESULTS: In total 420 patients were included, of which 83 patients (19.8%) died during the 1-year follow-up period. Repolarization abnormalities were present in 189 patients (45.0%). The extent of repolarization abnormalities was an independent predictor of 1-year all-cause mortality (HR per region 1.30, 95%CI 1.04-1.64) together with age (/year HR 1.06, 95%CI 1.04-1.08), heart rate (/bpm HR 1.02, 95%CI 1.01-1.03), neurological disorders (HR 2.41, 95%CI 1.47-3.93), active cancer (HR 2.75, 95%CI 1.57-4.82), CRP (per 10 mg/L HR 1.05, 95%CI 1.02-1.08) and eGFR (per 10 mg/L HR 0.90, 95%CI 0.83-0.98).In 245 patients (68.1%) an ECG post discharge was available. New repolarization abnormalities were more frequent in patients who died after discharge (4.7% versus 41.7%, p < 0.001) and 8 (3.3%) had new ventricular conduction defects, none of whom died during follow-up. CONCLUSIONS: The presence and extent of repolarization abnormalities predicted outcome in patients with COVID-19. New repolarization abnormalities after discharge were associated with post-discharge mortality.

Impact of concomitant acid suppressive therapy on pazopanib efficacy and dose reductions in patients with metastatic renal cell carcinoma.

PURPOSE: The aim of this study was to investigate the impact of acid suppressive therapy on clinical efficacy and safety of pazopanib in patients with metastatic renal cell carcinoma (mRCC). METHODS: A single-center retrospective study was carried out. Charts of mRCC patients who received pazopanib as first-line treatment were reviewed and concomitant use of proton pump inhibitors (PPI) and histamine 2 receptor antagonists (H2RA) was studied. Two groups of patients were identified, namely patients receiving PPI/H2RA and patients without acid suppressive therapy. Both groups were compared with regard to progression free survival (PFS), overall survival (OS), tumor response, and time to dose reduction of pazopanib. RESULTS: Ninety-one patients were included. Median PFS was 8 months in the PPI/H2RA group vs. 7 months in the no PPI/H2RA group (hazard ratio (HR) 0.76 (95% confidence interval (CI) 0.42-1.35)), p = 0.35. Median OS was 27 months in the PPI/H2RA group vs. 23 months in the no PPI/H2RA group (HR 0.87 (95% CI 0.46-1.66)), p = 0.68. Mean tumor response was 17% (95% CI 8-25%) in the PPI/H2RA group vs. 11% (95% CI 0-21%) in the no PPI/H2RA group, p = 0.52. Median time to first dose reduction was 9 months in both subgroups (HR 1.25 (95% CI 0.65-2.39)), p = 0.51. Median time to second dose (< 600 mg) reduction was 17 months in the PPI/H2RA group vs. 7 months in the no PPI/H2RA group (HR 0.26 (95% CI 0.07-0.89)), p = 0.03. CONCLUSION: In this limited patient series, no evidence of a negative impact of PPI/H2RA on clinical outcome and time to first dose reduction was observed. These results suggest that PPI/H2RA might be considered, when there is a clinical need, in patients treated with pazopanib for mRCC. However, a prospective study is warranted to confirm these results.