Rapid and simple HPLC-UV and LC-MS methods were developed and validated for the quantification of ertapenem (Invanz™) in human plasma. Ertapenem is a unique drug in that current dosing recommendations call for a 1 g dose for normal renal function patients, despite body weight. These assays, which involve a protein precipitation followed by liquid-liquid extraction, allow for fast therapeutic drug monitoring of ertapenem in patients, which is especially useful in special populations. Both methods were sufficient to baseline resolve meropenem (internal standard) and ertapenem, and were validated over 3 days using a six-point calibration curve (0.5-50 µg/mL). Validation was collected using four different points on the calibrations curve yielding acceptable precision (<15% inter-day and intra-day; <20% for lower limit of quantitation, LLOQ) as well as accuracy (<15% inter-day and intra-day; <20% for LLOQ). The lower limit of detection (LOD) was determined to be 0.1 and 0.05 µg/mL for the HPLC-UV and LC-MS methods, respectively. The developed HPLC-UV and LC-MS methods for ertapenem quantification are fast, accurate and reproducible over the calibration range and can be used to determine ertapenem plasma concentrations for monitoring clinical efficacy.
The CER Collaborative, the development of the questionnaires and web-based tool, and the development of the CER Certificate Program were supported by grants and in-kind contributions from the Academy of Managed Care Pharmacy (AMCP), the International Society for Pharmacoeconomics and Outcomes Research (ISPOR), and the National Pharmaceutical Council (NPC). The University of Maryland School of Pharmacy conducted its work under a contract with the AMCP Foundation and grant funding from the NPC. Perfetto is employed by the University of Maryland and the National Health Council and serves as assistant editor for the Journal of Managed Care & Specialty Pharmacy, consults for Avelere, and serves as a member of advisory boards for the PQA and CMTP. Pickering received support from the NPC for activities related to this research. Eichelberger is employed by the Academy of Managed Care Pharmacy. Eichelberger and Graff are with the CER Collaborative. Graff is employed by the National Pharmaceutical Council. Study concept and design were primarily contributed by Perfetto, Graff, and Eichelberger, along with Anyanwu and assisted by Pickering and Ward Zaghab. Pickering and Ward Zaghab took the lead in data collection, with assistance from the other authors, and data interpretation was performed by Perfetto, Graff, Pickering, and Ward Zaghab, with assistance from the other authors. The manuscript was written by Perfetto and Anyanwu, with assistance from the other authors, and revised by Graff, Perfetto, Anyanwu, and Pickering, assisted by Eichelberger and Ward Zaghab.
S99ObjectiveS: 1-2% of all hospital discharges are designated as a discharge against medical advice (DAMA), and patients with DAMA have poorer outcomes. To our knowledge, there is no prior study that decomposes variation at the level of hospital discharges into patient and non-patient-level factors contributing to DAMA, and we seek to do so in our study. MethOdS: We used the National Inpatient Sample (NIS) 2014, an all-payer healthcare database that provides a stratified sample of 20% of all discharges from US hospitals. We included patients > 18 years, in the general medical group, with known discharge status, and who were not transferred out or did not die in hospital. With our final sample of 2,687,430 discharges, we grouped variables from our data, and ran incremental mixed-effects logit models, with grouping at the level of the discharge, the hospital, and the census region. We obtained the intraclass correlation coefficients (ICC), and evaluated the percentage change in ICC. ReSultS: Our preliminary analysis showed associations with DAMA in line with previous studies: younger age, male gender, African-American race, residence in a large metropolis. Of interest, however, is our finding that of the overall variation in DAMA outcomes, 12.8% is associated with the hospital the discharge occurred from, and 1.2% of the variation with the census division the hospital is located in. This decreased with the addition of variables to the models, and the final, fully-adjusted model has 7.3% of variation in DAMA associated with the hospital-level, with the greatest percentage reductions occurring due to the addition of patient demographics. cOncluSiOnS: Our study is the first to explore the percentage in variation in DAMA due to patient, hospital and census-division characteristics. We find that even after adjusting for patient-level characteristics, there is a contribution of non-patient-level factors to DAMA outcomes. PHP76How are we Measuring access to HealtHcare in tHe us? -an environMental scan of Quality Measures
Carbapanems are a class of β-lactam antibiotics with broad-spectrum potency and high β-lactamase resistance. Ertapenem, a member of this class, sold under the trade name Invanz™, has been of interest in the world of antibiotic therapeutic drug monitoring owing to its highly standardized 1 g dose and its high degree of plasma protein binding. Owing to the relative newness of this drug, fewer than 30 methods for ertapenem quantification have been published. Among these about half utilize biological matrices at the sample type. Liquid-liquid extraction and protein precipitation prevail as the most frequently used sample preparation techniques, despite their low recoveries compared with solid-phase extraction. Additionally, high-performance liquid chromatography with ultraviolet detection (HPLC-UV) is the instrumentation choice for most ertapenem assays. While these approaches may not achieve the highest possible sensitivity for ertapenem quantification, they provide clinically relevant tools for monitoring ertapenem in real patients. Sample stability is an ongoing concern for laboratories that handle ertapenem analysis, with buffering being of paramount importance, as well as low temperature (<-70°C) storage, to ensure minimal drug degradation in situ.
Limited evidence exists regarding the relationships between adherence, as defined in Pharmacy Quality Alliance (PQA) medication adherence measures, health care utilization, and economic outcomes. PQA adherence measures for hypertension, cholesterol, and diabetes are of particular interest given their use in Medicare Star Ratings to evaluate health plan performance. The objective of this study was to assess the relationship between adherence and utilization and cost among Medicare Supplemental beneficiaries included in the aforementioned PQA measures over a 1-year period. Retrospective cohort study. Three cohorts (hypertension, cholesterol, and diabetes) of eligible individuals from the Truven Health MarketScan Commercial Claims and Encounters Research Databases (2009–2015) were used to assess associations between adherence and health care expenditure and utilization for Medicare Supplemental beneficiaries. Generalized linear models with log link and negative binomial (utilization) or gamma (expenditure) distributions assessed relationships between adherence (≥80% proportion of days covered) and health care utilization and expenditure (in 2015 US dollars) while adjusting for confounding variables. Beta coefficients were used to compute cost ratios and rate ratios. Adherence for all 3 disease cohorts was associated with lower outpatient and inpatient visits. During the 1-year study period, adherence was associated with lower outpatient, inpatient, and total expenditures across the cohorts, ranging from 9% lower outpatient costs (diabetes cohort) to 41.9% lower inpatient costs (hypertension cohort). Savings of up to $324.53 per member per month in total expenditure were observed for the hypertension cohort. Our findings indicate adherence is associated with lower health care utilization and expenditures within 1 year.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.