Smith, Taryn

Objective To estimate the proportion of female patients from Mayo Clinic Family Medicine and Community Internal Medicine clinics who are aware of alcohol use as a breast cancer (BC) risk factor. Patients and Methods One thousand women aged 21 to 70 completed a survey collecting information on demographics, medical/family history, frequency and quantity of alcohol consumption, and other health behaviors. Participants were also asked to grade how likely certain factors were to increase lifetime BC risk. Results Most participants (844/990 [85.3%]) identified a family history of BC as a BC risk factor. In contrast, 48.4% (475/982) identified alcohol use as a BC risk factor. The remaining 51.6% (507/982) reported either they were not sure about alcohol consumption as a risk factor (341/982 [34.7%]), believed that there was no association (143/982 [14.6%]), or believed that alcohol consumption decreases the risk of BC (23/982 [2.3%]). In multivariable analyses, factors associated with awareness of alcohol consumption and BC risk included having never been pregnant ( P = 0.048), more education ( P < 0.001), and higher frequency of alcohol consumption in the past 12 months ( P = 0.005). Conclusion Further education of patients and the public is needed to promote awareness of alcohol as a risk factor for BC.

ABSTRACT Background Studies have found that women with endometriosis have a higher risk of female sexual dysfunction (FSD). Aim To evaluate the relationship between self-reported endometriosis and FSD utilizing validated surveys. Methods A cross-sectional analysis was conducted among sexually active women aged 18–90 who presented to 3 Mayo Clinic sites from 2015 to 2021. FSD was determined utilizing a combined endpoint of Female Sexual Function Index score ≤ 26.55 and Female Sexual Distress Scale-Revised score ≥ 11. Associations between history of endometriosis and FSD were evaluated by fitting 3 multivariable logistic models and were stratified by menopause status. In the first model, the association was adjusted for age, BMI, race/ethnicity, marital status, and education. The second model adjusted for the variables in Model 1 and hormone therapy, hormonal contraceptive use, self-reported history of abuse within the last year, and co-morbidities including the history of diabetes, heart disease, hypertension, osteoporosis, and stroke. The third model adjusted for the variables in Model 1, Model 2, and anxiety, depression, relationship satisfaction, and SSRI/SNRI use. Outcomes The outcomes included self-reported endometriosis and female sexual dysfunction determined utilizing a combined endpoint of Female Sexual Function Index score ≤ 26.55 and Female Sexual Distress Scale-Revised score ≥ 11. Results Of 7118 patients (mean age 51.3), 92.2% were white, 78.4% were peri- or postmenopausal, 8.7% reported endometriosis history, and 57.2% met the criteria for FSD. Women with endometriosis were more likely to be overweight or obese, be smokers, have had a history of heart disease and osteoporosis, have had anxiety and depressed mood, have had a hysterectomy and bilateral salpingo-oophorectomy, and have used hormone therapy. Compared to those without endometriosis, women with endometriosis were significantly more likely to have FSD only among premenopausal women (74.2% vs 57.4%). Similarly, in multivariable analysis the relationship was only seen for premenopausal women in all 3 models (Model 1: OR 2.74 (95% CI 1.43–5.27); Model 2: OR 2.55 (95% CI 1.30–5.04); Model 3: OR 2.30 (95% CI 1.13–4.68)). Clinical Implications These findings highlight the opportunity for healthcare practitioners to evaluate sexual function in premenopausal women with endometriosis. For peri and postmenopausal women with endometriosis, the risk of FSD was lower than for premenopausal women with endometriosis. Strengths and Limitations This study analyzed the association between endometriosis and FSD in women by menopause status using validated tools that included a measure of distress associated with sexual dysfunction. Limitations include its cross-sectional design which does not allow for determination of the direction of this association. Conclusion The risk for FSD associated with endometriosis depends on menopause status. Endometriosis increased the odds of FSD only in premenopausal women.

Abstract Background: Cardiac toxicity (CT) in the form of left ventricular systolic dysfunction is a well-known complication of anti-HER2 therapy. Prior clinical trial data has suggested potential factors associated with increased risk for CT. We sought to develop a clinical risk prediction model from real world patients to better identify patients who may be at higher risk for CT. Methods: Patients treated with anti-HER2 agents at all Mayo Clinic sites from Jan 2008 to July 2015 were reviewed. Patient data including age, race, body mass index, comorbidities, smoking history, baseline ejection fraction (EF), presence of left ventricular hypertrophy (LVH), prior cancer treatments, number of anti-HER2 agents used, and cardiac medication use were recorded. Factors were compared in patients with and without development of CT. Cox regression models were used to identify univariate and multivariate predictors of CT. A risk score was then assigned based on the final multivariable model. Results: 604 patients were included in final analysis. Median follow-up 2.9 yrs; median age: 57 yr; baseline EF: 64%. One yr CT rate was 7%. Independent predictors of CT were age, baseline EF, LVH, and anthracycline use (C index=0.74). Based on model coefficient, scores of 1, 1, 2 and 3 were assigned to age&gt;55, EF &lt;60%, anthracycline exposure and LVH, respectively. Two random samples of 300 patients were created out of the original cohort for internal validation of the risk score model. In each, the risk score was found to be a highly significant predictor for CT with C index of 0.72 {HR 2.13 (95% CI 1.57-2.90), p &lt;0.001} and 0.77 {HR 2.45 (95% CI 1.74-3.44), p &lt;0.001}. Conclusions: Patients with risk factors of older age, lower baseline EF, anthracycline use and LVH are at increased risk for CT when treated with anti-HER2 agents. Using a risk prediction model at therapy initiation may enhance identification of patients who benefit from cardiology referral, closer cardiac monitoring, and/or prophylactic treatment while on anti-HER2 targeted therapy. Table 1. Multivariable Cox regression model predicting cardiac dysfunctionParameterParameter EstimateHR (95%CI)p valueScoreAge &gt;550.909552.48(1.27, 4.84)0.00751EF&lt;600.634361.89(1.01, 3.53)0.04751Anthracycline Exposure1.046132.85(1.48, 5.46)0.00162Baseline LVH1.633565.12(2.04,12.85)&lt;0.0013 Citation Format: Pooja P Advani, Lauren Cornell, Zhuo Li, Jordan Ray, Catalina Sanchez, Armando Villanueva, Taryn Smith, Alvaro Moreno-Aspitia. A validated clinical risk prediction model for cardiac toxicity in patients treated with antiHER2 agents [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-14-14.