The long-term effect of age on cardiovascular disease in patients with breast cancer who received chemotherapy

Age-specific cardiovascular disease-related mortality among patients with major gastrointestinal cancers: A SEER population-based study

BACKGROUND

Studies have reported age as a risk factor for cardiovascular disease (CVD)-related mortality; however, only a few studies have focused on the relationship between age and CVD-related mortality, especially among major gastrointestinal cancers.

METHOD

The present retrospective cohort enrolled patients with colorectal, pancreatic, hepatocellular, gastric, and esophageal cancer between 2000 to 2015 from the Surveillance, Epidemiology and End Results Registry (SEER). Standardized mortality ratio (SMR), competing risk regression, and restricted cubic spline (RCS) analyses were used in our study.

RESULTS

We analyzed 576,713 patients with major gastrointestinal cancers (327,800 patients with colorectal cancer, 93,310 with pancreatic cancer, 69,757 with hepatocellular cancer, 52,024 with gastric cancer, and 33,822 with esophageal cancer). Overall, CVD-related mortality gradually decreased every year, and the majority were older patients. All cancer patients had a higher CVD-related mortality rate than the general U.S.

POPULATION

The adjusted sub-hazard ratios for middle-aged with colorectal cancer, pancreatic cancer, hepatocellular cancer, gastric cancer, and esophageal cancer were 2.55 (95% CI: 2.15-3.03), 1.77 (95% CI: 1.06-2.97), 2.64 (95% CI: 1.60-4.36), 2.15 (95% CI: 1.32-3.51), and 2.28 (95% CI: 1.17-4.44), respectively. The adjusted sub-hazard ratios for older patients with colorectal cancer, pancreatic cancer, hepatocellular cancer, gastric cancer, and esophageal cancer were 11.23 (95% CI: 9.50-13.27), 4.05 (95% CI: 2.46-6.66), 4.47 (95% CI: 2.72-7.35), 7.16 (95% CI: 4.49-11.41), and 4.40 (95% CI: 2.28-8.48), respectively. A non-linear relationship between age at diagnosis and CVD-related mortality was found in colorectal cancer, pancreatic cancer, and esophageal cancer; their reference ages were 67, 69, and 66 years old, respectively.

CONCLUSION

This study demonstrated that age was a risk factor for CVD-related mortality among major gastrointestinal cancers.

A novel nomogram for predicting long-term heart-disease specific survival among older female primary breast cancer patients that underwent chemotherapy: A real-world data retrospective cohort study

Background

The past decade has witnessed an improvement in survival rates for breast cancer, with significant inroads achieved in diagnosis and treatment approaches. Even though chemotherapy is effective for this patient population, cardiotoxicity remains a major challenge, especially in older people. It has been established that cardiovascular events are a major cause of death in older female primary breast cancer patients that underwent chemotherapy. In the present study, the independent prognostic factors were identified to develop a novel nomogram for predicting long-term heart disease-specific survival (HDSS) and improving patient management.

Method

Older female primary breast cancer patients that underwent chemotherapy from 2010 to 2015 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to a training cohort and a validation cohort at a ratio of 7:3. HDSS was the primary endpoint of this study. Univariate and multivariate Cox regression analyses were conducted on the training cohort to identify independent prognostic factors of HDSS and construct a nomogram to predict the 5- and 8-year HDSS. The performance of the constructed nomogram was evaluated by calibration curve, receiver operating characteristic (ROC) curve, and decision curve analyses. Finally, a risk classification system was constructed to assist in patient management.

Result

A total of 16,340 patients were included in this study. Multivariate Cox regression analysis identified six independent prognostic factors: age, race, tumor stage, marital status, surgery, and radiotherapy. A nomogram based on these six factors yielded excellent performance, with areas under the curve of the ROC for 5- and 8-year HDSS of 0.759 and 0.727 in the training cohort and 0.718 and 0.747 in the validation cohort. Moreover, the established risk classification system could effectively identify patients at low-, middle-, and high- risk of heart disease-associated death and achieve targeted management.

Conclusion

Independent prognostic factors of HDSS in older female primary breast cancer patients that underwent chemotherapy were determined in this study. A novel nomogram for predicting 5- and 8-year HDSS in this patient population was also established and validated to help physicians during clinical decision-making and screen high-risk patients to improve outcomes.

Chemotherapy negatively impacts body composition, physical function and metabolic profile in patients with breast cancer

BACKGROUND

Evidence suggests that chemotherapy (CT) leads to unfavorable outcomes on nutritional and metabolic profile; however, this is poorly understood.

OBJECTIVE

To evaluate the impact of CT on body composition, bone mineral density (BMD), insulin resistance, lipid markers related to atherosclerotic cardiovascular diseases in women recently diagnosed with breast cancer according to menopausal status.

METHODS

This is a prospective study that enrolled women newly diagnosed with stage II-III breast cancer (2014-18). Body composition were measured by dual-energy x-ray absorptiometry. Blood samples were collected to assess lipid profile, insulin resistance and sensitivity, visceral adiposity index and lipid accumulation product were calculated. Dietary intake, physical activity and function were also evaluated at the time of breast cancer diagnosis and after CT completion.

RESULTS

Ninety-nine women (40.4% in the premenopausal stage) aged 51 ± 1 years took part in this study. CT duration was 197 ± 27 days and main regimen was anthracyclines with taxanes (88.9%). CT was associated with an increase in total and central adiposity, insulin resistance, and all lipid-related markers, and a decrease in appendicular lean mass index, BMD and HDL-c concentration. Premenopausal women experienced greater unfavorable outcomes on adiposity markers and BMD compared to postmenopausal women (p < 0.01). No changes were observed in dietary intake and physical activity after CT.

CONCLUSIONS

Breast cancer CT negatively impacted body composition and metabolic profile. Premenopausal women experienced greater unfavorable impact on adiposity markers and BMD.