| Literature DB >> 29174567 |
Sarah J Kitson1, Jennifer Lindsay1, Vanitha N Sivalingam1, Mark Lunt2, Neil A J Ryan1, Richard J Edmondson3, Martin K Rutter4, Emma J Crosbie5.
Abstract
BACKGROUND: Cardiovascular disease is a major cause of death in endometrial cancer survivors. The aim of this study was to determine whether women newly diagnosed with endometrial cancer have a higher prevalence of cardiovascular risk factors than the general population.Entities:
Keywords: Cardiovascular disease; Endometrial cancer; Hypercholesterolemia; Hyperglycemia; Hypertension; Obesity; QRISK2; Survival
Mesh:
Year: 2017 PMID: 29174567 PMCID: PMC6562057 DOI: 10.1016/j.ygyno.2017.11.019
Source DB: PubMed Journal: Gynecol Oncol ISSN: 0090-8258 Impact factor: 5.482
Demographic data for cases and controls.
| Characteristic | Cases (n = 150) | Controls (n = 746) | p value |
|---|---|---|---|
| Age, median yrs. (IQR) | 65 (57–72) | 64 (54–71) | 0.093 |
| BMI, median kg/m2 (IQR) | 32.5 (26.9–38.8) | 27.2 (24.0–31.5) | < 0.0001 |
| < 25 | 25 (16.7) | 241 (32.3) | |
| 25–29.9 | 34 (22.7) | 258 (34.6) | |
| 30–34.9 | 37 (24.7) | 152 (20.4) | |
| 35–39.9 | 20 (13.3) | 64 (8.6) | |
| ≥ 40 | 34 (22.7) | 25 (3.4) | |
| Missing data | 0 (0.0) | 6 (0.8) | |
| Ethnicity, n (%) | 0.081 | ||
| White | 137 (91.3) | 680 (91.1) | |
| Indian | 6 (4.0) | 29 (3.9) | |
| Pakistani | 4 (2.7) | 20 (2.7) | |
| Black/African/Caribbean | 3 (2.0) | 17 (2.3) | |
| Smoking status, n (%) | 0.271 | ||
| Never smoked | 88 (58.7) | 394 (52.8) | |
| Ex-smoker | 43 (28.7) | 265 (35.5) | |
| Current smoker | 19 (12.7) | 87 (11.7) | |
| Diagnosed cardiovascular disease, n (%) | 0.002 | ||
| No | 141 (94.0) | 629 (84.3) | |
| Yes | 9 (6.0) | 117 (15.7) |
*** p < 0.001.
p < 0.01.
p < 0.0001.
Fig. 1Prevalence of known individual cardiovascular risk factors in cases and controls. The proportion of women with known diabetes and hypercholesterolemia was similar in the two groups. A higher proportion of endometrial cancer survivors were already receiving treatment for hypertension than women in the general population (46.7% vs. 29.8%, p < 0.0001). As known diagnoses of non-diabetic hyperglycemia were not recorded in the Health Survey for England, comparisons of the prevalence of the condition between cases and controls was not possible. ****p < 0.0001
Fig. 2Prevalence of screen detected and undertreated individual cardiovascular risk factors in cases and controls. The prevalence of all of the cardiovascular risk factors studied was significantly higher in women undergoing treatment for endometrial cancer than the general population when screen detected and undertreated conditions were considered. Of particular note was that 57.2% of endometrial cancer survivors were found to have either diabetes or hyperglycemia that had been previously unrecognized compared with 11.5% of controls (p < 0.0001). **p ≤ 0.01, ***p ≤ 0.001.
Fig. 3Proportion of cases and controls with one or more adequately treated or inadequately treated/screen detected cardiovascular risk factors. There was no significant difference in the prevalence of adequately treated risk factors between women with endometrial cancer and those without. The difference in the proportion of women with one, two or three or more cardiovascular risk factors between the two groups was thus due to the higher prevalence of previously undiagnosed and inadequately treated risk factors in women undergoing primary treatment for endometrial cancer.
Supplementary Fig. 1aPrevalence of individual cardiovascular risk factors in cases and controls included in the QRISK2 analysis. In accordance with the results from the whole population, the significantly higher prevalence of cardiovascular risk factors in women with endometrial cancer was due to a greater proportion of women having previously unrecognized or inadequately treated conditions. The prevalence of adequately treated risk factors was similar between the two groups. The exception to this was diabetes, which affected a similar proportion of women with and without endometrial cancer (12.9% vs. 7.8%, p = 0.068).
Predicted 10-year cardiovascular risk using QRISK2 score.
| 10 year cardiovascular risk | Cases (n = 139) | Controls (n = 622) | p value |
|---|---|---|---|
| < 10%, n (%) | 51 (36.7) | 332 (53.4) | 0.0005 |
| ≥ 10%, n (%) | 88 (63.3) | 290 (46.6) | |
| ≥ 20%, n (%) | 41 (29.5) | 105 (16.9) | 0.001 |
| Median (IQR) before risk factor optimization | 12.6% (6.6–21.4%) | 8.8% (3.5–17.1%) | < 0.0001 |
| Median (IQR) after risk factor optimization | 11.6% (6–18.9%) | 8.4% (3.2–15.9%) | 0.0004 |
| Absolute percentage change in cardiovascular risk following optimization | − 1.82 | − 0.69 | |
| Estimated number needed to treat to prevent one cardiovascular event over 10 years | 55 | 145 |
p < 0.001.
p < 0.0001.