Asset Details
Do you wish to reserve the book?
Multi-disciplinary proactive follow-up algorithm for patients with advanced NSCLC receiving afatinib
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Multi-disciplinary proactive follow-up algorithm for patients with advanced NSCLC receiving afatinib
Do you wish to request the book?
Multi-disciplinary proactive follow-up algorithm for patients with advanced NSCLC receiving afatinib
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Multi-disciplinary proactive follow-up algorithm for patients with advanced NSCLC receiving afatinib
2019
Overview
PurposeAfatinib is a standard first-line therapy for advanced EGFR-positive NSCLC. We implemented a pharmacist-led proactive follow-up algorithm to identify and manage early afatinib-related adverse events (AEs).MethodsWe conducted a retrospective chart review of all patients treated with afatinib after implementation of the algorithm at the Sunnybrook Odette Cancer Centre (Toronto, ON, Canada) from April 1, 2015 to July 31, 2016. Our in-house algorithm involved consultations in person and proactive pharmacist-led callbacks on days 5, 10, and 17. All AEs were graded and documented in real time and management based on toxicity grade was standardized. This study evaluated the impact of our algorithm on real-world AEs.Results and discussionThirty-three patients were identified and reviewed. Median follow-up was 248 days. All patients experienced at least one drug-related AE; 18.2% were grade 3/4. The most common AEs were diarrhea 87.9%, rash 81.8%, stomatitis 57.6%, and paronychia 45.5%. Median dose of afatinib was 40 mg daily; 51.5% of patients had ≥ 1 dose reduction and 6.3% discontinued afatinib due to AEs. Proactive calls by the pharmacist identified 36.5% of all drug-related AEs, 33.3% of grade 3/4 AEs, 58.1% of first drug-related AEs and identified two patients that were non-compliant. Only 3.2% of AEs were identified by an emergency room/urgent clinic visit.ConclusionsThis proactive multi-disciplinary AE management algorithm resulted in a low rate of urgent assessments and discontinuation due to toxicity while maintaining afatinib at ideal dose, thus providing a useful tool for centers prescribing afatinib.
Publisher
Springer Nature B.V
Subject
