Literature DB >> 34320037

A drug comorbidity index to predict mortality in men with castration resistant prostate cancer.

Giuseppe Fallara1,2,3, Rolf Gedeborg3, Anna Bill-Axelson3, Hans Garmo3,4, Pär Stattin3.   

Abstract

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.

Entities:  

Year:  2021        PMID: 34320037     DOI: 10.1371/journal.pone.0255239

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  26 in total

1.  A chronic disease score from automated pharmacy data.

Authors:  M Von Korff; E H Wagner; K Saunders
Journal:  J Clin Epidemiol       Date:  1992-02       Impact factor: 6.437

Review 2.  Estimating scenarios for survival time in men starting systemic therapies for castration-resistant prostate cancer: a systematic review of randomised trials.

Authors:  T A West; B E Kiely; M R Stockler
Journal:  Eur J Cancer       Date:  2014-05-10       Impact factor: 9.162

3.  Impact of comorbidity on survival among men with localized prostate cancer.

Authors:  Peter C Albertsen; Dirk F Moore; Weichung Shih; Yong Lin; Hui Li; Grace L Lu-Yao
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4.  Thresholds for PSA doubling time in men with non-metastatic castration-resistant prostate cancer.

Authors:  Lauren E Howard; Daniel M Moreira; Amanda De Hoedt; William J Aronson; Christopher J Kane; Christopher L Amling; Matthew R Cooperberg; Martha K Terris; Stephen J Freedland
Journal:  BJU Int       Date:  2017-04-30       Impact factor: 5.588

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6.  Cohort Profile: the National Prostate Cancer Register of Sweden and Prostate Cancer data Base Sweden 2.0.

Authors:  Mieke Van Hemelrijck; Annette Wigertz; Fredrik Sandin; Hans Garmo; Karin Hellström; Per Fransson; Anders Widmark; Mats Lambe; Jan Adolfsson; Eberhard Varenhorst; Jan-Erik Johansson; Pär Stattin
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7.  Causes of death in men with localized prostate cancer: a nationwide, population-based study.

Authors:  Mieke Van Hemelrijck; Yasin Folkvaljon; Jan Adolfsson; Olof Akre; Lars Holmberg; Hans Garmo; Pär Stattin
Journal:  BJU Int       Date:  2015-05-15       Impact factor: 5.588

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Journal:  BMC Med Inform Decis Mak       Date:  2018-01-24       Impact factor: 2.796

9.  The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research.

Authors:  Jonas F Ludvigsson; Petra Otterblad-Olausson; Birgitta U Pettersson; Anders Ekbom
Journal:  Eur J Epidemiol       Date:  2009-06-06       Impact factor: 8.082

10.  The Swedish cause of death register.

Authors:  Hannah Louise Brooke; Mats Talbäck; Jesper Hörnblad; Lars Age Johansson; Jonas Filip Ludvigsson; Henrik Druid; Maria Feychting; Rickard Ljung
Journal:  Eur J Epidemiol       Date:  2017-10-05       Impact factor: 8.082

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