The Healthcare Professionals’ Perspective on Impact and Actions Taken Following Severe Infusion Reaction Events in Oncology Centers in Europe

Autor: Kafatos, George, Dube, Sabada, Burdon, Peter, Lowe, Kimberly, Leclerc, Marjorie, Flinois, Alain, Demonty, Gaston
Zdroj: Drugs - Real World Outcomes; 20240101, Issue: Preprints p1-12, 12p
Abstrakt: Purpose: The study aim was to describe the management strategies used for severe infusion-related reactions (SIRs) and understand the impact of such events in oncology day hospitals in France, Germany, Spain, and the UK. Methods: The study was based on qualitative telephone interviews and quantitative self-completion questionnaires and asked healthcare professionals about the impact of SIRs and consequent actions taken. Results: The procedures to prevent and manage SIRs were similar across countries and settings. In all countries, they were part of a larger risk-assessment and adverse events-prevention process. Preventive measures included patient history, risk assessment, pre-medication, and close monitoring of high-risk patients. The management procedures comprised stopping the infusion, triggering of the emergency chain, administering corticosteroids ± antihistamines, and hospitalization if necessary. The recalled SIRs had important consequences to affected patients, healthcare providers, and hospital organizational plans. All affected patients needed to be monitored closely for a prolonged time, thus blocking hospital beds. 44% of patients needed to be hospitalized, 17% needed resuscitation, and one patient died of cardiac arrest immediately after the start of the infusion. Importantly, 82% of patients were not re-challenged with the presumedly SIR-causing regimen or re-challenged in a later line. Conclusion: SIRs are unpredictable in nature, may have an extremely rapid onset, and are potentially fatal. Such events have a profound impact on the affected and surrounding patients, the care team and the organizational plan of the day-hospitals. Specific tools to reliably identify high-risk patients and predict the occurrence of events are needed.
Databáze: Supplemental Index