Related Experiment Video
Updated: Sep 15, 2025

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
Published on: January 9, 2019
Polypharmacy independently predicts survival, hospitalization, and infections in patients with lymphoid cancer
Christian Brieghel1,2, Thomas Lacoppidan1, Esben Packness1,3
1Department of Hematology Copenhagen University Hospital-Rigshospitalet Copenhagen Denmark.
Abstract:
Polypharmacy is a result of multimorbidity and may limit treatment options in patients with lymphoid cancer (LC). To investigate the clinical impact of polypharmacy, we gathered a prediagnostic 1-year medication history from the Danish prescription register for 46,803 newly diagnosed patients with six lymphoma subtypes, chronic lymphocytic leukemia, and multiple myeloma (MM). Medication was grouped into individual drug classes (n = 79), polypharmacy, and the number of prescription medications and correlated with overall survival (OS), hospitalization, and severe infection. Adjusting for age, sex, and multiple testing, we demonstrated associations between 39 drug classes and OS, 29 drug classes and hospitalization, and 27 drug classes and severe infection. Although polypharmacy (<5 vs. ≥5) was associated with adverse outcomes (hazard ratio [HR] 1.4 for OS, hospitalization, and severe infection; P < 0.001), the number of medications (0-3 vs. 4-7 vs. 8-11 vs. >11) gradually stratified OS (HR 1.0 vs. 1.2 vs. 1.4 vs. 1.9, respectively; P < 0.001), hospitalization (HR 1.0 vs. 1.3 vs. 1.4 vs. 1.9, respectively; P < 0.001), and severe infection (HR 1.0 vs. 1.2 vs. 1.5 vs. 1.9, respectively; P < 0.001) in multivariable analyses adjusted for age, sex, comorbidity, and prognostic indices. Lastly, the time to next treatment for Hodgkin lymphoma, mantle cell lymphoma, and MM was gradually shorter with an increasing number of medications (P < 0.001). In conclusion, a 1-year medication history summarized as the number of medications is a strong, independent prognostic and predictive marker that should be considered as a key baseline characteristic in randomized clinical trials and in clinical practice for LC patients.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
15:04Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation
Published on: January 19, 2019
Related Concept Videos
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Cancer Survival Analysis
Treatment Resistant Cancers