Methodological Considerations for Describing Medication Changes in Relation to Clinical Events and Death: An Applied Example in Patients with Type 2 Diabetes and Cancer

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Introduction
Certain clinical events reduce life expectancy and necessitate a reassessment of patient treatment.

Objective
To describe medication changes in relation to a cancer diagnosis and the end of life and to highlight challenges and limitations with such descriptions.

Methods
From a cohort with all Danish patients with type 2 diabetes, we matched patients with incident cancer during 2000–2021 (n = 41,745) with patients without cancer (n = 166,994) using propensity scores. We described their medication usage from cancer diagnosis until death.

Results
The 1- and 5-year mortality were 51% and 86%, respectively, in the cancer group, and 13% and 59% in the non-cancer group. In relation to cancer diagnosis and death, the use of symptomatic medications (e.g., opioids, benzodiazepines) increased (10–60 incident medications per 100 patient-months), and the use of preventive medications (e.g., antihypertensives, statins) decreased (5–30% fewer users). The changes in relation to the diagnosis were driven by patients with short observed lengths of survival (< 2 years). In contrast, changes occurring within a year before death were less dependent on survival strata, and > 60% used preventive medications in their last months.

Conclusions
Medication changes in relation to a cancer diagnosis were frequent and correlated to the length of survival. The results showcase the challenges and limited clinical utility of anchoring analyses on events or death. While the former diluted the results by averaging changes across patients with vastly different clinical courses, the latter leveraged information unavailable to the treating clinicians. While medication changes were common near death, preventive medications were often used until death.
OriginalsprogEngelsk
TidsskriftDrugs and Aging
Vol/bind40
Udgave nummer11
Sider (fra-til)1009-1015
Antal sider7
ISSN1170-229X
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
Daniela Moga (University of Kentucky) is acknowledged for her valuable input to the manuscript.

Publisher Copyright:
© 2023, The Author(s).

ID: 375053825