To investigate the association between malnutrition and all-cause and cause-specific mortality in Coronary Artery Disease (CAD) patients with cancer. This study used a retrospective cohort design to analyze data of patients with CAD and cancer admitted to five teaching hospitals in southern China between 2007 and 2020. Nutritional Status was assessed by CONUT (Controlled Nutritional Status) scoring system. The primary outcomes were all-cause mortality and cause- specific mortality to explore the association between malnutrition and these clinical outcomes. A total of 1063 CAD patients with cancer (mean age 68.0±9.7 years, female 26.6%) were included in this study. 698 (65.7%) patients were malnourished. During a mean follow-up of 3.3 years (range, 1.7 to 5.4 years), 250 patients (35.8%) in the malnourished group and 69 patients (18.9%) in the nonmalnourished group died. Cardiovascular Disease (CVD) was the leading cause of death in the nonmalnourished group, whereas cancer surpassed CVD as the leading cause of death in the malnourished group. After adjustment for potential confounders, undernutrition was associated with a significantly increased risk of all-cause mortality (adjusted hazard ratio [aHR]: 1.89, 95% confidence interval [CI]: 1.40-2.56), as well as an increased risk of death from cancer (aHR: 3.11, 95% CI: 1.67-5.80) and an increase in the trend of cardiovascular mortality (aHR: 1.78, 95%CI: 0.98-3.23). This study found that about two-thirds of CAD patients with cancer were malnourished and that malnutrition was associated with significantly increased all- cause and cancer mortality. Therefore, malnutrition is an important independent risk factor for patients with CHD and cancer, which significantly increases the risk of all- cause death and cancer death. These findings highlight the importance of valuing and improving the nutritional status of such patients in clinical management.

Weiyin Fang. Analysis of the Correlation between Malnutrition and Prognosis in Patients with Coronary Artery Disease and Cancer. International Journal of Frontiers in Medicine(2025), Vol. 7, Issue 2: 57-66. https://doi.org/10.25236/IJFM.2025.070209.

[1] Zhu Shaoning, Hu Shunying. Inflammatory Mechanisms of Coronary Artery Atherosclerotic Heart Disease and Progress in Anti-inflammatory Treatment. Chinese Journal of Geriatric Multi-Organ Diseases, 2024, 23(03):225-228.

[2] Cao Hongyan. Construction of a Precision Prognostic Model Based on Multisystem Data Integration in Coronary Artery Disease. Shanxi Province, Shanxi Medical University, 2022-09- 01.

[3] Wu Kanglai, Li Yuqiang, Ke Liangliang. Analysis of the Correlation between Hyperuricemia and Coronary Artery Disease and Its Severity, and Discussion on Its Guiding Significance for Prognostic Treatment. Mathematical Medicine Journal, 2022, 35(05):644- 646.

[4] Zhang Nan, Liu Tong. Tumors and Cardiovascular Diseases: Assessment and Management. Chinese Journal of Cardiovascular Diseases, 2024, 29(02):97-98.

[5] Wang Panpan. Study on the Cardiovascular Disease Mortality Risk in American Ovarian Malignant Tumor Patients. Henan University, 2023. DOI: 10.27114/d.cnki.ghnau.2023.001175.

[6] Zhang Chi, Wei Fengtiao. Research Progress on Heart Failure and Cancer Development. Community Medicine Journal, 2024, 22(05):175- 180. DOI: 10.19790/j.cnki.JCM.2024.05.07. 

[7] Zhonghua Xin, Xue Guan. Chinese expert consensus statement on prevention and management of coronary heart disease inpatients with malignant tumor. Chinese Society of Cardiology, 2022, 24;50(11):1047- 1057. doi: 10.3760/cma.j.cn112148-20220130-00082. PMID: 36418271.

[8] Li Jiayu, Zhou Li, Chen Hui. Assessment and Treatment Progress of Cancer Combined with Coronary Artery Disease. Chinese Journal of Interventional Cardiology, 2020, 28(07):397-401.

[9] Cao Yang. Prognostic Analysis of Coronary Artery Disease Patients Based on Explainable Machine Learning. Chinese People's Liberation Army Air Force Medical University, 2023. DOI: 10.27002/d.cnki.gsjyu.2023.000118. 

[10] Zhang Haitao. Cancer Treatment and Coronary Artery Damage. Chinese Journal of Cardiovascular Diseases, 2018, 23(5):371-374. DOI: 10.3969/j.issn.1007-5410.2018.05.004. 

[11] Bao Xin, Lu Changhong, Zhao Yuan, et al. Study on the Correlation Between Triglyceride- Glucose Index and Coronary and Carotid Artery Atherosclerosis. Chinese Journal of General Medicine, 2022, 25(15):1845- 1849.

[12] Yeh ETH, Chang HM. Oncocardiology-Past, Present, and Future: AReview. JAMA Cardiol. 2016;1(9):1066-72.

[13] Safiri S, KaramzadN, Singh K, et al. Burden of Ischemic Heart Disease and Its Attributable Risk Factors in 204 Countries and Territories, 1990-2019. Eur J Prev Cardiol. 2022;29(2):420-31.

[14] Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209-49.

[15] Al-Kindi SG, Oliveira GH. Prevalence of Preexisting Cardiovascular Disease in Patients with Different Types of Cancer: The Unmet Need for Onco-Cardiology. Mayo Clin Proc. 2016;91(1):81-3.

[16] Xu Hao, Jin Ying. Research Progress on Risk Prediction Models for Malnutrition After Gastrointestinal Cancer Surgery. Chinese Modern Doctor, 2023, 61(14):133- 135+140.

[17] Wu Beiwen. Research Progress on Diagnosis and Treatment Strategies for Malnutrition in Malignant Tumor Patients. Shanghai Nursing, 2017, 17(02):5-9.

[18] Ma Yue, Wu Beiwen. Interpretation of the Guidelines for Nutritional Management of Cancer Patients. Shanghai Nursing, 2017, 17(02):10- 15.

[19] Arends J, BaracosV, Bertz H, et al. ESPEN Expert Group Recommendations for Action Against Cancer-Related Malnutrition. Clin Nutr. 2017;36(5):1187-96.

[20] Raposeiras Roubín S, Abu AssiE, Cespón Fernandez M, et al. Prevalence and Prognostic Significance of Malnutrition in Patients with Acute Coronary Syndrome. JAm Coll Cardiol. 2020;76(7):828-40.