Impact of Allocation on Survival During Intermittent Chemotherapy Shortages: A Modeling Analysis.

BACKGROUND: Intermittent shortages of chemotherapeutics used to treat curable malignancies are a worldwide problem that increases patient mortality. Although multiple strategies have been proposed for managing these shortages (eg, prioritizing patients by age, scarce treatment efficacy per volume, alternative treatment efficacy difference), critical clinical dilemmas arise when selecting a management strategy and understanding its impact. PATIENTS AND METHODS: We developed a model to compare the impact of different allocation strategies on overall survival during intermittent chemotherapy shortages and tested it using vincristine, which was recently scarce for 9 months in the United States. Demographic and treatment data were abstracted from 1,689 previously treated patients in our tertiary-care system; alternatives were abstracted from NCCN Clinical Practice Guidelines in Oncology for each disease and survival probabilities from the studies cited therein. Modeled survival was validated using SEER data. Nine-month shortages were modeled for all possible supply levels. Pairwise differences in 3-year survival and risk reductions were calculated for each strategy compared with standard practice (first-come, first-served) for each 50-mg supply increment, as were supply thresholds above which each strategy maintained survival similar to scenarios without shortages. RESULTS: A strategy prioritizing by higher vincristine efficacy per volume and greater alternative treatment efficacy difference performed best, improving survival significantly (P<.01) across 86.5% of possible shortages (relative risk reduction, 8.3%; 99% CI, 8.0-8.5) compared with standard practice. This strategy also maintained survival rates similar to a model without shortages until supply fell below 72.2% of the amount required to treat all patients, compared with 94.3% for standard practice. CONCLUSIONS: During modeled vincristine shortages, prioritizing patients by higher efficacy per volume and alternative treatment efficacy difference significantly improved survival over standard practice. This approach can help optimize allocation as intermittent chemotherapy shortages continue to arise.

Single Center Experience with Robot Technologies for Sterile Compounding: A Retrospective Review.

The compounding of sterile medication admixtures is a labor-intensive process and subject to potential human error. The addition of robotic devices and workflow technology may mitigate some of the challenges of compounding sterile product admixtures, especially for those associated with antineoplastic and hazardous medications. This article discusses the single-center experiences from October 2009 through August 2017 with various sterile compounding robotic technologies. The robotic devices included Intellifill  i.v., Cytocare, i.v.Station, i.v.Station ONCO, and i.v.Soft Assist. The objective of this analysis was to describe the experience with robotic technology and workflow devices in compounding sterile medication admixtures. The number of prepared doses for each device was tracked, and each device had a tool to validate the dose accuracy via specific gravity measurement. Nonhazardous preparations with a dose variation of > (+/- 10%) were considered failures. For hazardous medications, variation of > (+/- 5%) was considered a failure. Doses that were prepared manually were also analyzed. The Intellifill i.v. robot was used to compound more than 1,000,000 admixtures (75% of all compounded  products). The i.v.Station, Cytocare, i.v.Station  ONCO, and i.v.Soft Assist robots compounded 14%, 7%,  3%, and 0.7% of the total chemotherapy doses required. Identified barriers to optimal performance included device (hardware) and software failures as well as shortages with specific fluid and drug containers. The qualitative analysis was done for 36 drugs that were prepared using i.v.Station and i.v.Station ONCO. The passing rate was estimated to be 95%. Barriers to use the device included lack of the appropriate medication container, diluent supplies issues, and software failure. Robotic devices and workflow technology for compounding sterile medication admixtures were unable to produce all routine parenteral doses required daily.

Denosumab in hypercalcemia of malignancy: a case series.

BACKGROUND: Denosumab is a nuclear factor-kappa ligand monoclonal antibody whose FDA-approved indications include treatment of osteoporosis, bone loss with certain anticancer hormonal agents, and prevention of skeletal-related events in patients with bone metastases from solid tumors. In clinical trials, the incidence of severe hypocalcemia has been reported as 3.1-10.8%. To date, case reports and two clinical trials have reported the use of denosumab in the management of hypercalcemia of malignancy. No reports of denosumab-induced hypocalcemia have been reported for the hypercalcemia of malignancy population. METHODS: We performed a retrospective chart review of all patients who received denosumab for hypercalcemia of malignancy to describe the effects of denosumab on calcium levels at our institution. RESULTS: Seven patients received doses of denosumab for hypercalcemia of malignancy. The most common tumor types were breast cancer (n = 3) and hematologic malignancies (n = 2). All patients had bone involvement. Two patients received single doses of 60 mg. The other five patients received 120 mg. The mean corrected calcium levels were 13.7 mg/dL and 12.24 mg/dL for the days of admission and denosumab administration, respectively (p = 0.1889). The mean corrected calcium level for the last known value was 9.92 mg/dL, while in house (p = 0.0016). Supportive care prior to denosumab included hydration (n = 7), bisphosphonates (n = 6), and calcitonin (n = 5). One patient had a calcium level of 6.6 mg/dL on day 4 after denosumab, requiring calcium supplementation and telemetry. Of the seven patients treated with denosumab for hypercalcemia of malignancy at our institution, six patients were discharged alive. Of these, one patient died two days after discharge. Last-known follow-up was a median of 26 days, range, 3-195, for all patients. CONCLUSIONS: Denosumab helped decrease calcium in patients with hypercalcemia of malignancy. However, symptomatic hypocalcemia may result from denosumab in hypercalcemia of malignancy.

Impact of robotic antineoplastic preparation on safety, workflow, and costs.

PURPOSE: Antineoplastic preparation presents unique safety concerns and consumes significant pharmacy staff time and costs. Robotic antineoplastic and adjuvant medication compounding may provide incremental safety and efficiency advantages compared with standard pharmacy practices. METHODS: We conducted a direct observation trial in an academic medical center pharmacy to compare the effects of usual/manual antineoplastic and adjuvant drug preparation (baseline period) with robotic preparation (intervention period). The primary outcomes were serious medication errors and staff safety events with the potential for harm of patients and staff, respectively. Secondary outcomes included medication accuracy determined by gravimetric techniques, medication preparation time, and the costs of both ancillary materials used during drug preparation and personnel time. RESULTS: Among 1,421 and 972 observed medication preparations, we found nine (0.7%) and seven (0.7%) serious medication errors (P = .8) and 73 (5.1%) and 28 (2.9%) staff safety events (P = .007) in the baseline and intervention periods, respectively. Drugs failed accuracy measurements in 12.5% (23 of 184) and 0.9% (one of 110) of preparations in the baseline and intervention periods, respectively (P < .001). Mean drug preparation time increased by 47% when using the robot (P = .009). Labor costs were similar in both study periods, although the ancillary material costs decreased by 56% in the intervention period (P < .001). CONCLUSION: Although robotically prepared antineoplastic and adjuvant medications did not reduce serious medication errors, both staff safety and accuracy of medication preparation were improved significantly. Future studies are necessary to address the overall cost effectiveness of these robotic implementations.