Visualization of Cancer and Cardiovascular Disease Co-Occurrence With Network Methods

2017 ◽  
pp. 1-12 ◽  
Author(s):  
Christine W. Duarte ◽  
Volkhard Lindner ◽  
Sanjeev A. Francis ◽  
Dounya Schoormans

Purpose Cancer and cardiovascular disease (CVD) are common causes of morbidity and mortality, and measurement and interpretation of their co-occurrence rate have important implications for public health and patient care. Here, we present the raw and adjusted co-occurrence rates of cancer and CVD in the overall population by using a visually intuitive network approach. Methods By using baseline survey and linked health outcome data from 490,842 individuals age 40 to 69 years from the UK Biobank, we recorded diagnoses between 1997 and 2014 of specific cancers and specific CVDs ascertained through hospital claims. We measured raw and adjusted rates of CVD for the following groups: individuals with Hodgkin or non-Hodgkin lymphoma, lung and trachea cancer, uterus cancer, colorectal cancer, prostate cancer, breast cancer, or no recorded diagnosed cancer during this time period. Analysis accounted for age, sex, and behavioral risk factors, without regard to the order of occurrence of cancer and CVD. Results A significantly increased rate of CVD was found in patients with multiple types of cancers, including Hodgkin and non-Hodgkin lymphoma and lung and trachea, uterus, colorectal, and breast cancer, compared with patients without cancer by using age and sex-adjusted models. Increased co-occurrence for many CVD categories remained after correction for behavioral risk factors. Construction of co-occurrence networks highlighted heart failure as a shared CVD diagnosis across multiple cancer types, including breast cancer, lung cancer, non-Hodgkin lymphoma, and colorectal cancer. Smoking, physical activity, and other lifestyle factors accounted for some but not all of the increased co-occurrence for many of the CVD diagnoses. Conclusion Increased co-occurrence of several common CVD conditions is seen widely across multiple malignancies, and shared diagnoses, such as heart failure, were highlighted by using network methods.

2015 ◽  
Vol 81 ◽  
pp. 326-332 ◽  
Author(s):  
Maria Vassilaki ◽  
Manolis Linardakis ◽  
Donna M. Polk ◽  
Αnastas Philalithis

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171154 ◽  
Author(s):  
Augustin Balekouzou ◽  
Ping Yin ◽  
Henok Kessete Afewerky ◽  
Cavin Bekolo ◽  
Christian Maucler Pamatika ◽  
...  

2001 ◽  
Vol 91 (10) ◽  
pp. 1613-1614 ◽  
Author(s):  
Helena Zabina ◽  
Thomas L. Schmid ◽  
Igor Glasunov ◽  
Rimma Potemkina ◽  
Tatiana Kamardina ◽  
...  

2020 ◽  
Vol 8 (1) ◽  
pp. 51-54
Author(s):  
Sanjeev Shah ◽  
Chanda Sah ◽  
Manoj Dhungana ◽  
Mahmud Alam Khan

INTRODUCTION: Decades of research has revealed several links between cardiovascular diseases (CVDs) and mental illness, and has even suggested that both may actually cause one another. Emerging research is beginning to uncover high prevalence of behavioral risk factors in patients with mental illness that may lead to cardiovascular disease. MATERIAL AND METHODS: A descriptive cross-sectional study was designed to assess the prevalence of psychiatric comorbidities in cardiovascular disease patients and to identify the behavioral risk factors in them. A semi-structured questionnaire including Self- Reporting Questionnaire (SRQ-20) by WHO was used to screen psychiatric symptoms among 190 purposively selected samples. Data were analyzed by using descriptive and inferential statistics with SPSS version 20.0 RESULTS: Among the 190 respondents, 150 (78.95%) were SRQ positive and table 1 shows majority (63.33%) was male. Highest proportion (60%) of the respondents was included in the age group of 40-64 years. Majority of cardiac morbidity was ischemic heart disease (55.79%). Respondents diagnosed with some kind of cardiac disease were suffering from depression (53.33%), anxiety disorder(38%) and panic disorder (8.67%). Behavioral risk factors present in respondents were smoking (90%) and alcohol abuse (90%) and more than half (65.33%) and (56%) had obesity and physical inactivity as behavioral risk factors respectively. CONCLUSION: Health care professionals will need to expand their use of standardized screening tools that capture psychosocial factors in the CVDs population. Thus it can help in prevention and treatment of such comorbidities.


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