A pharmacovigilance study to quantify the strength of association between the combination of antimalarial drugs and azithromycin and cardiac arrhythmias: implications for the treatment of COVID-19.

Background: Hydroxychloroquine, an antimalarial drug, combined with azithromycin has been considered a potential treatment for COVID-19. However, these drugs may cause electrocardiogram QT prolongation (QTp) and torsade de Pointes (TdP). We examined potential safety signals for these cardiac arrhythmias. Methods: Using the OpenVigil 2.1 MedDRA platform, we mined data from the U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) from December 2019 to June 2020. We extracted individual case safety reports based on exposures of seven antimalarial drugs, azithromycin, and combinations. All other drugs in FAERS served as controls. Events of interest included QTp and TdP, with associations between drug exposures and events expressed as adjusted Reporting-Odds-Ratios (aRORs) and confidence intervals. The lower end of aROR 95% confidence interval >1 was used as the statistically significant signal detection threshold. Results: QTp safety signals were found for hydroxychloroquine[aROR:11.70 (10.40-13.16)], chloroquine[aROR:18.97 (11.30-31.87)], quinine[aROR:16.66 (10.18-27.25)], atovaquone[aROR:6.91 (4.14-11.56)], azithromycin alone [aROR:28.02 (22.87-34.32)] and hydroxychloroquine + azithromycin [aROR:75.23 (51.15-110.66)]. TdP safety signals were found for hydroxychloroquine [aROR: 5.62 (4.94-6.38)], chloroquine[aROR:49.37 (30.63-79.58)], and hydroxychloroquine + azithromycin[aROR:33.09 (21.22-51.61)]. Conclusion: Hydroxychloroquine/chloroquine and/or azithromycin was associated with QTp/TdP safety signals and their use should be monitored carefully.

Using time series analysis to forecast the health-related quality of life of post-menopausal women with non-metastatic ER+ breast cancer: A tutorial and case study.

BACKGROUND: Time series models are widely used forecasting techniques in health care for long time series and are typically built in commercial statistical packages. However, for short time series data, such as health-related quality of life (HRQoL), guidance on how to select and use appropriate time series models is lacking. This tutorial provides a step-by-step guide adopting a time series analysis framework for HRQoL forecasting. OBJECTIVE: We walk through a case study examining the forecasting of the effects of adjuvant endocrine therapy on the HRQoL of post-menopausal women with non-metastatic ER + breast cancer using data from the HRQoL sub-protocol of the Tamoxifen arm of the Arimidex, tamoxifen, alone or in combination (ATAC) trial. METHODS: The forecasting of HRQoL consists of four steps: 1) data extraction and accuracy check, 2) forecasting horizon definition and identification of data pattern, 3) forecasting model identification and fitting using five forecasting approaches appropriate for short time series ((i) double exponential smoothing, (ii) double moving average, (iii) fuzzy forecasting, (iv) grey forecasting, and (v) Volterra series), 4) forecasting model selection. A user-friendly visual basic for applications (VBA) Excel add-in is made available to interested users to facilitate the application of the tutorial. RESULTS: The Grey method and Volterra series appeared to be good candidates to forecast the effects of adjuvant endocrine therapy on the HRQoL of post-menopausal women with non-metastatic ER + breast cancer enrolled in the ATAC trial. CONCLUSION: It is feasible to forecast the effects of treatments on HRQOL even when the time series is short.

An Evaluation of the Cost-effectiveness of Comprehensive MTM Integrated with Point-of-Care Phenotypic and Genetic Testing for U.S. Elderly Patients After Percutaneous Coronary Intervention.

BACKGROUND: Poor health outcomes after percutaneous coronary intervention (PCI) in elderly patients is an area of concern among policymakers and administrators. In an effort to determine the best strategy to improve outcomes among elderly patients who underwent PCI, several studies have evaluated the cost-effectiveness of genotype-guided antiplatelet therapy compared with universal use of any one of the antiplatelet drugs indicated for patients with acute coronary syndrome (ACS) who underwent PCI. The results have either been in favor of genotype-guided antiplatelet therapy or universal use of ticagrelor. However, no study has yet evaluated the cost-effectiveness of pharmacist-provided face-to-face medication therapy management (MTM) combined with point-of-care genotype-guided antiplatelet therapy (POCP) when compared with universal use of ticagrelor or clopidogrel for the elderly after PCI. OBJECTIVE: To evaluate the cost-effectiveness of a pharmacist integration of MTM with POCP (MTM-POCP) when compared with universal use of ticagrelor or clopidogrel combined with MTM (MTM-ticagrelor or MTM-clopidogrel). METHODS: We conducted a cost-effectiveness analysis from the perspective of the U.S. health care system. A hybrid model, consisting of a 1-year decision tree and a 20-year Markov model, was used to simulate a cohort of elderly patients (aged at least 65 years) with ACS who underwent PCI. Treatment strategies available to patients were POCP, POCP-MTM, MTM-clopidogrel, or MTM-ticagrelor. Data used to populate the model were obtained from the PLATO trial and other published studies. Outcome measures were costs, quality-adjusted life-years (QALYs) and incremental cost per QALY gained. A deterministic and probabilistic sensitivity analysis was conducted to account for the joint uncertainty around the key parameters of the model. Finally, a benchmark willingness to pay of $50,000-200,000 was considered. RESULTS: The use of PCOP (with dual antiplatelet therapy) resulted in 5.29 QALYs, at a cost of $50,207. MTM-clopidogrel resulted in 5.34 QALYs, at a cost of $50,011. The use of POCP-MTM resulted in 5.36 QALYs, at a cost of $50,270. Finally, MTM-ticagrelor resulted in 5.42 QALYs, at a cost of $53,346. MTM-ticagrelor was found to be cost-effective compared with MTM-clopidogrel or MTM-POCP, irrespective of the willingness to pay. The deterministic and probabilistic sensitivity analyses confirmed the robustness of the base-case analysis. CONCLUSIONS: The combination of MTM-ticagrelor was cost-effective when compared with MTM-POCP or MTM-clopidogrel. The transitional probabilities, however, were mostly based on published studies. Analysis based on a prospective randomized clinical study, comparing all the treatment strategies included in this study, is warranted to confirm our findings. DISCLOSURES: No outside funding supported this study. The authors have no conflicts of interest to declare. Study concept and design were contributed by Okere and Diaby. Ezendu took the lead in data collection, along with Okere. Data interpretation was performed by all the authors. The manuscript was written by Okere, Diaby, and Berthe and revised by Okere and Diaby.