Castration Resistant
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2021 ◽  
Vol 22 (4) ◽  
Author(s):  
Masahiro Samoto ◽  
Hideyasu Matsuyama ◽  
Hiroaki Matsumoto ◽  
Hiroshi Hirata ◽  
Koji Ueno ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255239
Author(s):  
Giuseppe Fallara ◽  
Rolf Gedeborg ◽  
Anna Bill-Axelson ◽  
Hans Garmo ◽  
Pär Stattin

Background The Charlson Comorbidity Index is a poor predictor of mortality in men with castration resistant prostate cancer (CRPC). To improve this prediction, we created a comorbidity index based on filled prescriptions intended to be used in registry-based studies. Materials and methods In a population-based cohort of men with CPRC a drug comorbidity index (DCI-CRPC) was calculated based on prescriptions filled during a 365-day period before the date of CRPC diagnosis to predict mortality. Five risk categories for men with CRPC were defined based on PSA kinetics. Mortality rates were described by Kaplan-Meier curves. The predictive ability of the DCI-CRPC was compared in univariable models to that of the original DCI, derived from men in the general population, and to that of the Charlson Comorbidity Index. Results In 1,885 men with CRPC the median overall survival ranged from 3.0 years (95% confidence interval [CI] 2.8 to 3.4) in the first tertile of the DCI-CRPC, to 1.0 year (95% CI 0.9 to 1.1) in the third tertile of the DCI-CRPC. The index had higher discriminative ability (C-index 0.667) than the Charlson Comorbidity Index (C-index 0.508). The discriminative ability of the DCI-CRPC was highest in the subgroup with least aggressive cancer (C-index 0.651) and lowest in men with most aggressive cancer (C-index 0.618). The performance of the DCI-CRPC was comparable to that of the original DCI. Conclusion Our newly created comorbidity index using filled prescriptions predicted death in men with CRPC better than the Charlson Comorbidity Index.


2021 ◽  
pp. canres.0307.2021
Author(s):  
Mark P. Labrecque ◽  
Lisha G Brown ◽  
Ilsa M Coleman ◽  
Bryce Lakely ◽  
Nicholas J. Brady ◽  
...  

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