No abstract

Purpose The coronavirus disease 2019 (COVID-19) pandemic has presented novel challenges to healthcare systems; however, an analysis of the impact of the pandemic on inpatient pharmacy services has not yet been conducted. Methods Results of an observational assessment of operational and clinical pharmacy services at a community teaching hospital during the first weeks of the COVID-19 pandemic are presented. Service outcomes of the inpatient pharmacy were evaluated from February 1 to April 8, 2020. Outcomes during the weeks preceding the first COVID-19 admission (February 1 to March 11, 2020) and during the pandemic period (March 12 to April 8, 2020) were compared. Evaluated outcomes included daily order verifications, clinical interventions, and usage of relevant medications. An exploratory statistical analysis was conducted using Student’s t test. Results During the pandemic period, the number of new order verifications decreased from approximately 5,000 orders per day to 3,300 orders per day (P < 0.01), a reduction of 30% during the first 4 weeks of the pandemic compared to the weeks prior. Average daily pharmacokinetic dosing consults were reduced in the pandemic period (from 82 to 67; P < 0.01) compared to the prepandemic period; however, total daily pharmacist interventions did not differ significantly (473 vs 456; P = 0.68). Dispensing of hydroxychloroquine, azithromycin, enoxaparin, and sedative medications increased substantially during the pandemic period (P < 0.01 for all comparisons). Conclusion The operational and clinical requirements of an inpatient pharmacy department shifted considerably during the first weeks of the COVID-19 pandemic. Pharmacy departments must be adaptable in order to continue to provide effective pharmaceutical care during the pandemic.

Background: Numerous equations exist for estimating renal clearance for drug dosing, and discordance rates may be as high as 40% in certain populations. However, the populations and types of equations used in these studies may not be generalizable to broader pharmacy practice. Objectives: To determine the dosing discordance rate between Cockcroft-Gault (C-G), Chronic Kidney Disease Epidemiology (CKD-EPI), and Modification of Diet in Renal Disease (MDRD) equations in a community hospital population. Methods: This was a cross-sectional analysis of inpatients who had documented renal function assessment over a 6-month period. Renal estimation was calculated using 5 equations (MDRD, CKD-EPI, and 3 C-G variants). Differences between equations were assessed using mean bias, dosing discordance, and agreement (κ statistic). Patients with acute kidney injury and those requiring renal replacement therapy were excluded. Results: A total of 466 patients were eligible for inclusion. Dosing discordance was evident between C-G variants and both MDRD and CKD-EPI equations in greater than 20% of patients. Agreement was highest between MDRD and CKD-EPI (κ = 0.93) and lowest between MDRD and C-G calculated using ideal body weight (κ = 0.33). The majority of discordant instances led to higher dosing recommendations when using MDRD and CKD-EPI equations compared with C-G variants. Dosing discordance exceeded 18% between the different C-G variants, with the highest discordance (36%) observed between total body weight and ideal body weight variants. Conclusion and Relevance: Dosing discordance between renal estimating equations is widespread. Practitioners and institutions should be aware of these differences when dosing medications and implementing renal dosing policies.

Data suggest that vancomycin is less effective for methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection (BSI) with vancomycin Etest® MIC (MICEtest) ≥1.5 mg/L. No published studies have evaluated the relationship between vancomycin exposure and outcomes among patients with MRSA BSIs vancomycin MICEtest ≥1.5 mg/L. This study was a retrospective cohort of 71 hospitalized, adult, non-dialysis patients with MRSA BSIs treated with vancomycin. All but three patients had a vancomycin MICEtest of 1.5 mg/L. Achievement of CART-derived AUC24–48h of at least 550 mg*h/L (AUC24–48h/MIC of 366 mg*h/L) was associated with a lower incidence of treatment failure. In multivariate analyses, the risk ratio was 0.45 for the CART-derived AUC24–48h threshold, indicating that achievement of the CART-derived AUC24–48h threshold of 550 was associated with a 2-fold decrease in treatment failure. These findings suggest a potential association between vancomycin exposure and outcomes in patients with MRSA BSIs with MICEtest ≥1.5 mg/L. As this study was retrospective, these findings provide the basis for a future large-scale, multi-center prospective study.

BackgroundIn vitro data suggests that suboptimal initial vancomycin exposure may select for heterogeneous vancomycin-intermediate Staphylococcus aureus (hVISA) infections. However, no clinical studies have evaluated the relationship between initial vancomycin exposure and emergence of hVISA. This pilot study seeks to assess the relationship between day 1 and day 2 vancomycin area under the curve (AUC) and emergence of hVISA bloodstream infections (BSIs) by Etest® macromethod among patients with a non-hVISA BSI at baseline.MethodsThis was a retrospective cohort study of patients with methicillin-resistant Staphylococcus aureus (MRSA) BSIs at Albany Medical Center Hospital (AMCH) between January 2005 and June 2009. The vancomycin AUC exposure variables on day 1 (AUC0-24h) and day 2 (AUC24-48h) were estimated using the maximal a posteriori probability (MAP) procedure in ADAPT 5.ResultsThere were 238 unique episodes of MRSA BSIs during the study period, 119 of which met inclusion criteria. Overall, hVISA emerged in 7/119 (5.9%) of patients. All 7 cases of hVISA involved patients who did not achieve area under the curve over broth microdilution minimum inhibitory concentration (AUC0-24h/MICBMD) ratio of 521 or an AUC24-48h/MICBMD ratio of 650. No associations between other day 1 and day 2 AUC variables and emergence of hVISA were noted.ConclusionsAlthough more data are needed to draw definitive conclusions, these findings suggest that hVISA emergence among patients with non-hVISA MRSA BSIs at baseline may be partially explained by suboptimal exposure to vancomycin in the first 1 to 2 days of therapy. At a minimum, these findings support further study of the relationship between initial vancomycin exposure and hVISA emergence among patients with MRSA BSIs in a well-powered, multi-center, prospective trial.