High atherogenic index of plasma and cardiovascular risk factors among Ghanaian breast cancer patients.
Emmanuel Ayitey TagoeEric Dwamena-AkotoJosephine NsafulAnastasia R AikinsJoe-Nat Clegg-LampteyOsbourne QuayePublished in: Experimental biology and medicine (Maywood, N.J.) (2020)
Comorbidities impact negatively on breast cancer prognosis, especially in developing countries where cases are usually presented to clinics at advanced stages. This study aimed to determine the atherogenic index of plasma (AIP) and cardiovascular risk factors among Ghanaian women diagnosed with breast cancer. A total of 52 breast cancer patients were age-matched with 52 healthy controls. Sociodemographics of participants were obtained using a well-structured questionnaire. Pathological data of patients were obtained from medical records, and all clinical and anthropometric measurements were done using standard instruments. Lipid profile was determined from serum using enzymatic assays, and cardiovascular risk factors were calculated from estimated lipid parameters. Blood pressure, AIP, total cholesterol (T. chol), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-c) were significantly elevated (P < 0.05) in the breast cancer patients compared to the controls, but the reverse was observed for high-density lipoprotein cholesterol (HDL-c) (P < 0.01). Obesity (odds ratio [OR] = 2.51, P = 0.015), hypertension (OR = 4.04, P < 0.001), AIP (OR = 10.44, P < 0.001), and dyslipidemia (P < 0.01) were significantly associated with breast cancer. AIP correlated positively with age (r = 0.244, P < 0.05), body mass index (r = 0.225, P < 0.05), blood pressure (P < 0.01), T. chol (r =0.418, P< 0.01), and TG (r = 0.880, P < 0.01), but inversely correlated with HDL-c (r = -0.460, P < 0.01). A greater proportion (88%) of the patients presented with advanced breast cancer. AIP and cardiovascular risk factors were high in the breast cancer patients. Considering that AIP and cardiovascular disease risk factors are of interest in breast cancer patients, further studies are needed to understand the effect of AIP and cardiovascular risk factors on breast cancer outcomes.
Keyphrases
- cardiovascular risk factors
- cardiovascular disease
- metabolic syndrome
- blood pressure
- end stage renal disease
- body mass index
- ejection fraction
- risk factors
- chronic kidney disease
- type diabetes
- low density lipoprotein
- primary care
- insulin resistance
- pregnant women
- patient reported outcomes
- prognostic factors
- body composition
- machine learning
- weight gain
- high throughput
- hydrogen peroxide
- fatty acid
- hypertensive patients
- artificial intelligence
- deep learning
- childhood cancer