Literature DB >> 35312818

Coronary artery disease, left ventricular function and cardiac biomarkers determine all-cause mortality in cancer patients-a large monocenter cohort study.

Daniel Finke1,2, Markus B Heckmann1,2, Susanna Wilhelm1, Lukas Entenmann1, Hauke Hund1, Nina Bougatf3, Hugo A Katus1,2, Norbert Frey1,2, Lorenz H Lehmann4,5,6.   

Abstract

Cancer patients are at risk of suffering from cardiovascular diseases (CVD). Nevertheless, the impact of cardiovascular comorbidity on all-cause mortality (ACM) in large clinical cohorts is not well investigated. In this retrospective cohort study, we collected data from 40,329 patients who were subjected to cardiac catherization from 01/2006 to 12/2017 at University Hospital Heidelberg. The study population included 3666 patients with a diagnosis of cancer prior to catherization and 3666 propensity-score matched non-cancer patients according to age, gender, diabetes and hypertension. 5-year ACM in cancer patients was higher with a reduced left ventricular function (LVEF < 50%; 68.0% vs 50.9%) or cardiac biomarker elevation (high-sensitivity cardiac troponin T (hs-cTnT; 64.6% vs 44.6%) and N-terminal brain natriuretic peptide (NT-proBNP; 62.9% vs 41.4%) compared to cancer patients without cardiac risk. Compared to non-cancer patients, NT-proBNP was found to be significantly higher (median NT-proBNP cancer: 881 ng/L, IQR [254; 3983 ng/L] vs non-cancer: 668 ng/L, IQR [179; 2704 ng/L]; p < 0.001, Wilcoxon-rank sum test) and turned out to predict ACM more accurately than hs-cTnT (NT-proBNP: AUC: 0.74; hs-cTnT: AUC: 0.63; p < 0.001, DeLong's test) in cancer patients. Risk factors for atherosclerosis, such as diabetes and age (> 65 years) were significant predictors for increased ACM in cancer patients in a multivariate analysis (OR diabetes: 1.96 (1.39-2.75); p < 0.001; OR age > 65 years: 2.95 (1.68-5.4); p < 0.001, logistic regression). Our data support the notion, that overall outcome in cancer patients who underwent cardiac catherization depends on cardiovascular comorbidities. Therefore, particularly cancer patients may benefit from standardized cardiac care.
© 2022. The Author(s).

Entities:  

Keywords:  Atherosclerosis; Cancer patient risk stratification; Cardiac assessments in cancer patients; Cardio-oncology; Shared risk factors

Year:  2022        PMID: 35312818     DOI: 10.1007/s00392-022-02001-6

Source DB:  PubMed          Journal:  Clin Res Cardiol        ISSN: 1861-0684            Impact factor:   5.460


  42 in total

1.  A population-based study of cardiovascular disease mortality risk in US cancer patients.

Authors:  Kathleen M Sturgeon; Lei Deng; Shirley M Bluethmann; Shouhao Zhou; Daniel M Trifiletti; Changchuan Jiang; Scott P Kelly; Nicholas G Zaorsky
Journal:  Eur Heart J       Date:  2019-12-21       Impact factor: 29.983

2.  Interleukin-6 spillover in the peripheral circulation increases with the severity of heart failure, and the high plasma level of interleukin-6 is an important prognostic predictor in patients with congestive heart failure.

Authors:  T Tsutamoto; T Hisanaga; A Wada; K Maeda; M Ohnishi; D Fukai; N Mabuchi; M Sawaki; M Kinoshita
Journal:  J Am Coll Cardiol       Date:  1998-02       Impact factor: 24.094

Review 3.  Cardiovascular Complications of Cancer Therapy: Best Practices in Diagnosis, Prevention, and Management: Part 1.

Authors:  Hui-Ming Chang; Rohit Moudgil; Tiziano Scarabelli; Tochukwu M Okwuosa; Edward T H Yeh
Journal:  J Am Coll Cardiol       Date:  2017-11-14       Impact factor: 24.094

4.  Acute myocardial infarction treatments and outcomes in 6.5 million patients with a current or historical diagnosis of cancer in the USA.

Authors:  Aditya Bharadwaj; Jessica Potts; Mohamed O Mohamed; Purvi Parwani; Pooja Swamy; Juan C Lopez-Mattei; Muhammad Rashid; Chun Shing Kwok; David L Fischman; Vassilios S Vassiliou; Philip Freeman; Erin D Michos; Mamas A Mamas
Journal:  Eur Heart J       Date:  2020-06-14       Impact factor: 29.983

Review 5.  Linking Heart Failure to Cancer: Background Evidence and Research Perspectives.

Authors:  Edoardo Bertero; Marco Canepa; Christoph Maack; Pietro Ameri
Journal:  Circulation       Date:  2018-08-14       Impact factor: 29.690

Review 6.  Shared Risk Factors in Cardiovascular Disease and Cancer.

Authors:  Ryan J Koene; Anna E Prizment; Anne Blaes; Suma H Konety
Journal:  Circulation       Date:  2016-03-15       Impact factor: 29.690

7.  Cardiovascular Disease Among Survivors of Adult-Onset Cancer: A Community-Based Retrospective Cohort Study.

Authors:  Saro H Armenian; Lanfang Xu; Bonnie Ky; Canlan Sun; Leonardo T Farol; Sumanta Kumar Pal; Pamela S Douglas; Smita Bhatia; Chun Chao
Journal:  J Clin Oncol       Date:  2016-02-01       Impact factor: 44.544

8.  Cardiovascular Risk Factors are Associated with Future Cancer.

Authors:  Emily S Lau; Samantha M Paniagua; Elizabeth Liu; Manol Jovani; Shawn X Li; Katherine Takvorian; Navin Suthahar; Susan Cheng; Greta L Splansky; James L Januzzi; Thomas J Wang; Ramachandran S Vasan; Bernard Kreger; Martin G Larson; Daniel Levy; Rudolf A de Boer; Jennifer E Ho
Journal:  JACC CardioOncol       Date:  2021-03-16

Review 9.  Cancer-A Major Cardiac Comorbidity With Implications on Cardiovascular Metabolism.

Authors:  Daniel Finke; Markus B Heckmann; Norbert Frey; Lorenz H Lehmann
Journal:  Front Physiol       Date:  2021-11-26       Impact factor: 4.566

10.  Src activation by β-adrenoreceptors is a key switch for tumour metastasis.

Authors:  Guillermo N Armaiz-Pena; Julie K Allen; Anthony Cruz; Rebecca L Stone; Alpa M Nick; Yvonne G Lin; Liz Y Han; Lingegowda S Mangala; Gabriel J Villares; Pablo Vivas-Mejia; Cristian Rodriguez-Aguayo; Archana S Nagaraja; Kshipra M Gharpure; Zheng Wu; Robert D English; Kizhake V Soman; Mian M K Shahzad; Mian M K Shazhad; Maya Zigler; Michael T Deavers; Alexander Zien; Theodoros G Soldatos; David B Jackson; John E Wiktorowicz; Madeline Torres-Lugo; Tom Young; Koen De Geest; Gary E Gallick; Menashe Bar-Eli; Gabriel Lopez-Berestein; Steve W Cole; Gustavo E Lopez; Susan K Lutgendorf; Anil K Sood
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

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