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Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer

PURPOSE: To measure the baseline prevalence of cardiovascular disease (CVD), its modifiable and non-modifiable risk factors in breast cancer patients, and determine their association with adjuvant treatment decision-making. METHOD: From 2016 to 2017, 2,127 women newly-diagnosed with breast cancer we...

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Autores principales: Subramaniam, Shridevi, Kong, Yek-Ching, Zaharah, Hafizah, Uiterwaal, Cuno S.P.M., Richard, Andrea, Taib, Nur Aishah, Deniel, Azura, Chee, Kok-Han, Bustamam, Ros Suzanna, See, Mee-Hoong, Fong, Alan, Yip, Cheng-Har, Bhoo-Pathy, Nirmala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cancer Intelligence 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580595/
https://www.ncbi.nlm.nih.gov/pubmed/34824616
http://dx.doi.org/10.3332/ecancer.2021.1293
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author Subramaniam, Shridevi
Kong, Yek-Ching
Zaharah, Hafizah
Uiterwaal, Cuno S.P.M.
Richard, Andrea
Taib, Nur Aishah
Deniel, Azura
Chee, Kok-Han
Bustamam, Ros Suzanna
See, Mee-Hoong
Fong, Alan
Yip, Cheng-Har
Bhoo-Pathy, Nirmala
author_facet Subramaniam, Shridevi
Kong, Yek-Ching
Zaharah, Hafizah
Uiterwaal, Cuno S.P.M.
Richard, Andrea
Taib, Nur Aishah
Deniel, Azura
Chee, Kok-Han
Bustamam, Ros Suzanna
See, Mee-Hoong
Fong, Alan
Yip, Cheng-Har
Bhoo-Pathy, Nirmala
author_sort Subramaniam, Shridevi
collection PubMed
description PURPOSE: To measure the baseline prevalence of cardiovascular disease (CVD), its modifiable and non-modifiable risk factors in breast cancer patients, and determine their association with adjuvant treatment decision-making. METHOD: From 2016 to 2017, 2,127 women newly-diagnosed with breast cancer were prospectively recruited. Participants’ cardiovascular biomarkers were measured prior to adjuvant treatment decision-making. Clinical data and medical histories were obtained from hospital records. Adjuvant treatment decisions were collated 6–8 months after recruitment. A priori risk of cardiotoxicity was predicted using the Cardiotoxicity Risk Score. RESULTS: Mean age was 54 years. Eighty-five patients had pre-existing cardiac diseases and 30 had prior stroke. Baseline prevalence of hypertension was 47.8%. Close to 20% had diabetes mellitus, or were obese. Dyslipidaemia was present in 65.3%. The proportion of women presenting with ≥2 modifiable CVD risk factors at initial cancer diagnosis was substantial, irrespective of age. Significant ethnic variations were observed. Multivariable analyses showed that pre-existing CVD was consistently associated with lower administration of adjuvant breast cancer therapies (odds ratio for chemotherapy: 0.32, 95% confidence interval: 0.17–0.58). However, presence of multiple risk factors of CVD did not appear to influence adjuvant treatment decision-making. In this study, 63.6% of patients were predicted to have high risks of developing cardiotoxicities attributed to a high baseline burden of CVD risk factors and anthracycline administration. CONCLUSION: While recent guidelines recommend routine assessment of cardiovascular comorbidities in cancer patients prior to initiation of anticancer therapies, this study highlights the prevailing gap in knowledge on how such data may be used to optimise cancer treatment decision-making.
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spelling pubmed-85805952021-11-24 Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer Subramaniam, Shridevi Kong, Yek-Ching Zaharah, Hafizah Uiterwaal, Cuno S.P.M. Richard, Andrea Taib, Nur Aishah Deniel, Azura Chee, Kok-Han Bustamam, Ros Suzanna See, Mee-Hoong Fong, Alan Yip, Cheng-Har Bhoo-Pathy, Nirmala Ecancermedicalscience Research PURPOSE: To measure the baseline prevalence of cardiovascular disease (CVD), its modifiable and non-modifiable risk factors in breast cancer patients, and determine their association with adjuvant treatment decision-making. METHOD: From 2016 to 2017, 2,127 women newly-diagnosed with breast cancer were prospectively recruited. Participants’ cardiovascular biomarkers were measured prior to adjuvant treatment decision-making. Clinical data and medical histories were obtained from hospital records. Adjuvant treatment decisions were collated 6–8 months after recruitment. A priori risk of cardiotoxicity was predicted using the Cardiotoxicity Risk Score. RESULTS: Mean age was 54 years. Eighty-five patients had pre-existing cardiac diseases and 30 had prior stroke. Baseline prevalence of hypertension was 47.8%. Close to 20% had diabetes mellitus, or were obese. Dyslipidaemia was present in 65.3%. The proportion of women presenting with ≥2 modifiable CVD risk factors at initial cancer diagnosis was substantial, irrespective of age. Significant ethnic variations were observed. Multivariable analyses showed that pre-existing CVD was consistently associated with lower administration of adjuvant breast cancer therapies (odds ratio for chemotherapy: 0.32, 95% confidence interval: 0.17–0.58). However, presence of multiple risk factors of CVD did not appear to influence adjuvant treatment decision-making. In this study, 63.6% of patients were predicted to have high risks of developing cardiotoxicities attributed to a high baseline burden of CVD risk factors and anthracycline administration. CONCLUSION: While recent guidelines recommend routine assessment of cardiovascular comorbidities in cancer patients prior to initiation of anticancer therapies, this study highlights the prevailing gap in knowledge on how such data may be used to optimise cancer treatment decision-making. Cancer Intelligence 2021-09-21 /pmc/articles/PMC8580595/ /pubmed/34824616 http://dx.doi.org/10.3332/ecancer.2021.1293 Text en © the authors; licensee ecancermedicalscience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Subramaniam, Shridevi
Kong, Yek-Ching
Zaharah, Hafizah
Uiterwaal, Cuno S.P.M.
Richard, Andrea
Taib, Nur Aishah
Deniel, Azura
Chee, Kok-Han
Bustamam, Ros Suzanna
See, Mee-Hoong
Fong, Alan
Yip, Cheng-Har
Bhoo-Pathy, Nirmala
Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer
title Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer
title_full Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer
title_fullStr Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer
title_full_unstemmed Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer
title_short Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer
title_sort baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580595/
https://www.ncbi.nlm.nih.gov/pubmed/34824616
http://dx.doi.org/10.3332/ecancer.2021.1293
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