Social determinants of health and depressive symptoms before and after cancer diagnosis.

Despite frequent reports of mental health needs among older women with cancer, depressive symptoms often go unrecognized and untreated, particularly in socially vulnerable survivors. Here, we examined associations of sociodemographic factors and social limitations with depressive symptoms from pre-diagnosis to post-diagnosis in older women diagnosed with breast or gynecological cancer. Using the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) linked dataset, we used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between sociodemographic factors (race, ethnicity, marital status, rurality) and social limitations (i.e., health interfering with social activities) on depressive symptoms in women aged ≥65 years with breast or gynecologic cancer (n = 1,353). Most participants had breast cancer (82.0%), stage I-II cancer (85.8%), received surgery for their cancer (94.8%), and radiation treatment (50.6%). Prior to diagnosis, 11.8% reported depressive symptoms, which nearly doubled to 22.4% at follow-up. Participants were 2.7 times more likely of reporting depressive symptoms after cancer diagnosis compared with pre-cancer diagnosis (95%CI: 2.10-3.48). Race, ethnicity, rurality, marital status, and social interference were significantly associated with an increased risk of depressive symptoms after cancer diagnosis than before their cancer diagnosis (p < 0.05). In summary, depressive symptoms increased following a cancer diagnosis. Our results suggest potential avenues for intervention that could lead to reduced depressive symptoms among older female cancer survivors.

Associations between race and ethnicity and treatment setting among gynecologic cancer patients.

INTRODUCTION: Racial and ethnic disparities in gynecologic cancer care have been documented. Treatment at academic facilities is associated with improved survival, yet no study has examined independent associations between race and ethnicity with facility type among gynecologic cancer patients. MATERIALS & METHODS: We used the National Cancer Database and identified 484,455 gynecologic cancer (cervix, ovarian, uterine) patients diagnosed between 2004 and 2020. Facility type was dichotomized as academic vs. non-academic, and we used logistic regression to estimate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) between race and ethnicity and facility type. Secondarily, we examined joint effects of race and ethnicity and facility type on overall survival using Cox proportional hazards regression. RESULTS: We observed higher odds of treatment at academic (vs. non-academic) facilities among American Indian/Alaska Native (OR = 1.42, 95% CI = 1.28-1.57), Asian (OR = 1.64, 95% CI = 1.59-1.70), Black (OR = 1.69, 95% CI = 1.65-1.72), Hispanic (OR = 1.70, 95% CI = 1.66-1.75), Native Hawaiian/Pacific Islander (OR = 1.74, 95% CI = 1.57-1.93), and other race (OR = 1.29, 95% CI = 1.20-1.40) patients compared with White patients. In the joint effects survival analysis with White, academic facility-treated patients as the reference group, Asian, Hispanic, and other race patients treated at academic or non-academic facilities had improved overall survival. Conversely, Black patients treated at academic facilities [Hazard Ratio (HR) = 1.10, 95% CI = 1.07-1.12] or non-academic facilities (HR = 1.19, 95% CI = 1.16-1.21) had worse survival. DISCUSSION: Minoritized gynecologic cancer patients were more likely than White patients to receive treatment at academic facilities. Importantly, survival outcomes among patients receiving care at academic institutions differed by race, requiring research to investigate intra-facility survival disparities.

Postoperative venous thromboembolism risk in patients with vulvar carcinoma: An analysis of the National surgical Quality Improvement Program (NSQIP) database.

Objectives: Due to low incidence of vulvar cancer (VC), incidence and predictors for development of venous thromboembolism (VTE) are poorly understood. We examined incidence and risk factors associated with VTE in patients undergoing surgery for VC. Methods: We included patients who underwent surgery for VC from the National Surgical Quality Improvement Program database. VTE within the 30-day postoperative period was captured with Current Procedural Terminology codes. Baseline demographics and clinical characteristics were compared between patients with and without VTE. Univariable and multivariable-adjusted exact logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between risk factors and VTE. Results: We identified 1414 patients undergoing procedures for VC from the NSQIP database. Overall, 11 (0.8 %) patients developed VTE. Univariable predictors of VTE included surgery type [compared with simple vulvectomy: radical vulvectomy only (OR = 7.97, 95 % CI = 1.44, infinity) and radical vulvectomy plus unilateral IFN (OR = 15.98, 95 % CI = 2.70, infinity)], unplanned readmission (OR = 11.56, 95 % CI = 2.74, 46.38), deep surgical site infection (OR = 16.05, 95 % CI = 1.59-85.50), and preoperative thrombocytosis (OR = 6.53, 95 % CI = 0.00, 34.86). In a multivariable-adjusted model, longer operative time (≥72 min OR = 11.33, 95 % CI = 1.58-499.03) and preoperative functional status [compared with complete independence: total dependence (OR = 53.88, 95 % CI = 0.85, infinity) and partial dependence (OR = 53.88, 95 % CI = 0.85, infinity)] were associated with VTE. Conclusion: In this cohort of patients with VC undergoing radical vulvectomy, VTE incidence was low. Surgery type, longer operative time, dependent functional status, and wound disruption were identified as risk factors. Our findings highlight opportunities for prophylactic intervention in certain patients.

Changes in prospectively collected patient-reported outcomes among women with incident endometrial cancer.

PURPOSE: We examined associations between patient and treatment characteristics with longitudinally collected patient-reported outcome (PRO) measures to provide a data-informed description of the experiences of women undergoing treatment for endometrial cancer. METHODS: We administered National Institutes of Health Patient Reported Outcomes Measurement Information System (PROMIS) questionnaires at the preoperative visit and at 6 and 12 months after surgery. Anxiety, depression, fatigue, sleep disturbance, pain, physical function, and ability to participate in social roles were assessed. Analysis of variance (ANOVA) and linear mixed models were used to examine associations between patient characteristics and PRO measures at baseline and through time. RESULTS: Of 187 women enrolled, 174 (93%) and 103 (69%) completed the 6- and 12-month questionnaires, respectively. Anxiety was substantially elevated at baseline (half of one population-level standard deviation) and returned to general population mean levels at 6 and 12 months. Younger age, Medicaid/None/Self-pay insurance, prevalent diabetes, and current smoking were associated with higher symptom burden on multiple PRO measures across the three time points. Women with aggressive histology, higher disease stage, or those with adjuvant treatment had worse fatigue at 6 months, which normalized by 12 months. CONCLUSIONS: We observed a high symptom burden at endometrial cancer diagnosis, with most PRO measures returning to general population means by 1 year. Information on risk factor-PRO associations can be used during the clinical visit to inform supportive service referral. IMPLICATIONS FOR CANCER SURVIVORS: These findings can inform clinicians' discussions with endometrial cancer survivors regarding expected symptom trajectory following diagnosis and treatment.