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Introduction: The primary purpose of this work is to study coronavirus disease 2019 (COVID-19) in China and to identify the prognostic characteristics of patients with the highest death risk., Material and Methods: The statistical methods used to derive the results of this work are the chi-square test and one-way analysis of variance (ANOVA) to examine the characteristics of COVID-19 associated deaths. A multiple logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors with the highest death risk for this type of disease., Results: According to multiple logistic regression analyses, males (OR = 1.68; 95% CI: 1.48-1.91) who are over 50 years old (OR = 7.2; 95% CI: 1.01-51.6) from Hubei (OR = 7.73; 95% CI: 5.71-10.47) have the highest risk of death from this type of disease. Moreover, individuals who are retirees (OR = 2.83; 95% CI: 2.47-3.25) and had a Wuhan-related exposure (OR = 2.17; 95% CI: 1.68-2.79) have two times higher risk of death from COVID-19, while the risk is thirteen times higher with the comorbid condition "cardiovascular disease" (OR = 13.6; 95% CI: 10.3-17.9)., Conclusions: The results of this study describe for the first time the importance of cardiovascular disease as a primary prognostic risk factor for death from coronavirus disease 2019., Competing Interests: The author declares no conflict of interest., (Copyright: © 2020 Termedia & Banach.)

Introduction: The main purpose of this work is to study atherosclerotic diseases and lung cancer in Cyprus during the period 2007-2017 with the aim of finding not only the atherosclerotic diseases with the highest risk but also a possible association between these diseases and lung cancer., Material and Methods: The statistical methods used to extract the results of this work are Student's t -test and one-way analysis of variance (ANOVA), in order to check the statistical significance of atherosclerotic diseases with regard to the characteristics of the patients. Additionally, a multiple logistic regression analysis was used with the aim of finding the disease with the highest risk. Pearson's r was used to find a possible association between atherosclerotic diseases and lung cancer., Results: As specified by multiple logistic regression analysis, the atherosclerotic diseases with the highest risk of death are intracranial haemorrhage (OR = 17.3), heart failure (OR = 3.29), and stroke (OR = 3.02), with females having higher risk compared to men. Moreover, a statistically significant relation was found between heart failure and cerebral infarction with lung cancer., Conclusions: The results of this work highlight the statistically significant characteristics of patients with atherosclerotic diseases and identify the risk of death according to the type of the disease. A link between these diseases and cancer was also identified., Competing Interests: The author declare no conflict of interest., (Copyright © 2020 Termedia & Banach.)

Introduction: The main purpose of this work is to study the malignant neoplasms of the breast and the incidence of strokes in the United States and to find not only statistically significant predictors for cancer, but also a possible association between breast cancer and stroke., Material and Methods: The statistical methods used to derive the results of this work are χ 2 and one-way analysis of variance (ANOVA) tests, in order to check the statistical significance of breast cancer in relation to socio-economic factors of patients. In addition, a multivariate logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors for breast cancer. The Pearson correlation coefficient was used to find the relationship between breast cancer and stroke., Results: According to multiple logistic regression analysis, widowed women have 11 times higher risk developing breast cancer, while white women who are unemployed but have worked previously have two times higher risk for the occurrence of this type of cancer. In addition, a statistically significant relationship was found between the number of cases of breast cancer and stroke., Conclusions: Our results describe for the first time the importance of deprivation (of work and partner) as a primary prognostic risk factor for cancer. Moreover, we found a link between breast cancer diagnosis and stroke., Competing Interests: The authors declare no conflict of interest.

Introduction: The main purpose of this work is to study prostate cancer and stroke in the United States during the years 2007-2017 and to find not only statistically significant predictors for cancer, but also a possible association between prostate cancer and stroke., Material and Methods: The statistical methods used to derive the results of this work are χ 2 test and one-way analysis of variance (ANOVA), in order to check the statistical significance of prostate cancer in relation to socio-economic factors of patients. In addition, a multivariate logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors for both prostate cancer and stroke., Results: According to multiple logistic regression analysis, males who are unemployed but have worked previously have 16 times higher risk of developing prostate cancer, while widowed men have five times higher risk for the occurrence of this type of cancer. In addition, marital status and employment proved to be also prognostic risk factors for stroke., Conclusions: Our results describe for the first time the importance of deprivation (of work and partner) as a primary prognostic risk factor for cancer. Moreover, the same factor proved to be the primary prognostic risk factor for stroke as well as for prostate cancer, a fact that implies a possible link between cancer and stroke., Competing Interests: The authors declare no conflict of interest.