Life stress as a risk factor for sustained anxiety and cortisol dysregulation during the first year of survivorship in ovarian cancer.

BACKGROUND: Patients with ovarian cancer often report elevated anxiety at diagnosis that decreases posttreatment. However, a minority of patients experience sustained anxiety. Few studies have examined risk factors for persistent anxiety or its physiologic sequelae in ovarian cancer. Therefore, the authors investigated associations between prior life events, anxiety, inflammation (plasma levels of interleukin-6), and diurnal cortisol profiles in patients with ovarian cancer during the first year postdiagnosis. METHODS: Participants (n = 337) completed surveys and had blood and salivary sampling prediagnosis, postchemotherapy (6 months), and 12 months after diagnosis. The Life Events and Difficulties Schedule was administered to a patient subset (n = 127) within 1 month of diagnosis. Linear mixed-effects models were used to analyze relations between anxiety and biologic variables over time. Linear regression models assessed whether anxiety trajectories mediated associations between prior stress exposure and biologic variables. Age, chemotherapy at 1 year, and cancer stage were covariates. RESULTS: Decreased anxiety was associated with a more normalized cortisol slope over time (ß = 0.092; P = .047). Early life adversity was related to flatter cortisol slopes over time (ß = -0.763; P = .002); this relation was partially mediated by anxiety trajectory (P = .046). More danger-related events prediagnosis were associated with sustained anxiety (ß = 0.537; P = .019) and flatter cortisol slopes over time (ß = -0.243; P = .047); anxiety partially mediated the relation between danger and cortisol slope (P = .037). Neither anxiety nor prior stress exposure was related to levels of interleukin-6. CONCLUSIONS: Because dysregulated cortisol has been related to fatigue, poorer quality of life, and shorter survival in patients with ovarian cancer, those who have prior life events and chronic anxiety during the first year postdiagnosis may be at risk for more negative outcomes. Cancer 2018. © 2018 American Cancer Society.

History of abuse and its relationship to pain experience and depression in women with chronic pelvic pain.

OBJECTIVE: We sought to determine the relationship among a history of physical or sexual abuse, pain experience, and depressive symptoms among women with chronic pelvic pain (CPP). STUDY DESIGN: This was a cross-sectional study of women who presented to a tertiary referral center for evaluation of CPP (N = 273). All participants completed standardized questionnaires to assess a history of physical or sexual abuse, pain severity, pain disability, and depressive symptoms. Subjects were grouped by abuse category and compared to CPP participants without history of abuse. Multinomial logistic regression models were used to determine the association between adolescent or adult and childhood physical or sexual abuse with pain intensity, pain-related disability, and depressive symptoms. RESULTS: Logistic regression analyses indicated that, after controlling for age and education, none of the abuse categories was associated with pain severity. However, adolescent or adult sexual abuse predicted greater pain-related disability (odds ratio, 2.39; 95% confidence interval, 1.05-5.40), while both adolescent or adult physical and sexual abuse were associated with higher levels of depression (both P < .05). Level of education was significantly associated with pain intensity, pain disability, and depression. CONCLUSION: For our sample of women with CPP, a history of abuse during childhood or adulthood was not associated with differences in pain intensity, but adolescent or adult sexual abuse was associated with greater pain-related disability. A history of physical abuse or sexual abuse appears to hold a stronger relationship with current depressive symptoms than pain experience for women with CPP. Educational achievement holds a robust relationship with pain morbidity and depression for this population.

Sleep disturbance, distress, and quality of life in ovarian cancer patients during the first year after diagnosis.

BACKGROUND: Sleep disturbance is a common clinical complaint of oncology patients and contributes to substantial morbidity. However, because most sleep studies have been cross-sectional, associations between sleep quality and distress in patients with ovarian cancer over time remain unclear. This prospective longitudinal study examined rates of sleep disturbance; contributions of depression, anxiety, and medication use in sleep disturbance; and associations between sleep quality and quality of life (QOL) during the first year after diagnosis among women with ovarian cancer. METHODS: Women with a pelvic mass completed measures of sleep quality, depression, anxiety, and QOL before surgery. Those diagnosed with primary epithelial ovarian, fallopian tube, or peritoneal cancer repeated surveys at 6 months and 1 year after diagnosis. Mixed modeling was used to examine trajectories of psychosocial measures over time, as well as associations between changes in distress and sleep quality. Relationships between changes in sleep and QOL were also examined. RESULTS: The majority of patients reported disturbed global sleep (Pittsburgh Sleep Quality Index > 5) at all 3 time points. Medications for sleep and pain were associated with worse sleep at all time points. Greater increases in depression were associated with increased disturbances in sleep quality over time (P < .04). Worsening sleep was also associated with declines in QOL over time (P < .001). CONCLUSIONS: Sleep disturbance is common and persistent in women with ovarian cancer, and is linked to depressive symptoms and QOL. Pharmacologic treatment does not appear to adequately address this problem. Results highlight the need for ongoing screening and intervention for sleep disturbance in this population.

Cortisol and inflammatory processes in ovarian cancer patients following primary treatment: relationships with depression, fatigue, and disability.

Elevations in the pro-inflammatory cytokine interleukin-6 (IL-6) and alterations in the anti-inflammatory hormone cortisol have been reported in a variety of cancers. IL-6 has prognostic significance in ovarian cancer and cortisol has been associated with fatigue, disability, and vegetative depression in ovarian cancer patients prior to surgery. Ovarian cancer patients undergoing primary treatment completed psychological self-report measures and collected salivary cortisol and plasma IL-6 prior to surgery, at 6 months, and at 1 year. Patients included in this study had completed chemotherapy and had no evidence of disease recurrence. At 6 months, patients showed significant reductions in nocturnal cortisol secretion, plasma IL-6, and a more normalized diurnal cortisol rhythm, changes that were maintained at 1 year. The reductions in IL-6 and nocturnal cortisol were associated with declines in self-reported fatigue, vegetative depression, and disability. These findings suggest that primary treatment for ovarian cancer reduces the inflammatory response. Moreover, patients who have not developed recurrent disease by 1 year appear to maintain more normalized levels of cortisol and IL-6. Improvement in fatigue and vegetative depression is associated with the normalization of IL-6 and cortisol, a pattern which may be relevant for improvements in overall quality of life for ovarian cancer patients.

Sleep disturbance, cytokines, and fatigue in women with ovarian cancer.

Pro-inflammatory cytokines, such as interleukin-6 (IL-6), have been implicated in the underlying processes contributing to sleep regulation and fatigue. Despite evidence for sleep difficulties, fatigue, and elevations in IL-6 among women with ovarian cancer, the association between these symptoms and IL-6 has not been investigated. To address this knowledge gap, we examined relationships between sleep disturbance, fatigue, and plasma IL-6 in 136 women with ovarian cancer prior to surgery. These relationships were also examined in 63 of these women who were disease-free and not receiving chemotherapy one year post-diagnosis. At both time-points, higher levels of IL-6 were significantly associated with sleep disturbances (p<0.05), controlling for potentially confounding biological and psychosocial covariates. Higher IL-6 was significantly associated with fatigue prior to surgery (p<0.05); however, when sleep disturbance was included in the model, the relationship was no longer significant. IL-6 was not significantly associated with fatigue at one year. Changes in sleep over time were significantly associated with percent change in IL-6 from pre-surgery to one year, adjusting for covariates (p<0.05). These findings support a direct association of IL-6 with sleep disturbances in this population, whereas the relationship between IL-6 and fatigue prior to surgery may be mediated by poor sleep. As this study is the first to examine cytokine contributions to sleep and fatigue in ovarian cancer, further research is warranted to clarify the role of biological correlates of sleep and fatigue in this population.

Social isolation is associated with elevated tumor norepinephrine in ovarian carcinoma patients.

Noradrenergic pathways have been implicated in growth and progression of ovarian cancer. Intratumoral norepinephrine (NE) has been shown to increase with stress in an animal cancer model, but little is known regarding how tumor NE varies with disease stage and with biobehavioral factors in ovarian cancer patients. This study examined relationships between pre-surgical measures of social support, depressed mood, perceived stress, anxiety, tumor histology and tumor catecholamine (NE and epinephrine [E]) levels among 68 ovarian cancer patients. We also examined whether associations observed between biobehavioral measures and tumor catecholamines extended to other compartments. Higher NE levels were found in advanced stage (p=0.006) and higher grade (p=0.001) tumors. Adjusting for stage, grade, and peri-surgical beta blockers, patients with a perceived lack of social support had significantly higher tumor NE (ß=-0.29, p=0.012). A similar trend was seen for social support and ascites NE (adjusting for stage, peri-surgical beta blockers and caffeine: ß=-0.50, p=0.075), but not for plasma NE. Other biobehavioral factors were not related to tumor, ascites, or plasma NE (p values >0.21). Tumor E was undetectable in the majority of tumors and thus E was not further analyzed. In summary, these results suggest that tumor NE provides distinct information from circulating plasma concentrations. Tumor NE levels were elevated in relationship to tumor grade and stage. Low subjective social support was associated with elevated intratumoral NE. As beta-adrenergic signaling is related to key biological pathways involved in tumor growth, these findings may have implications for patient outcomes in ovarian cancer.

Residents' views of plastic surgery in the geriatric population: an objective needs assessment for graduate plastic surgery education.

BACKGROUND: This study was undertaken to identify educational needs for plastic surgery residents regarding the care of elderly patients. METHODS: A focus group of plastic surgery residents was conducted. Investigators coded the focus group transcript, using a "concept identification" technique and organized the coded concepts within the 6 general competencies of the Accreditation Council for Graduate Medical Education. Codes were then analyzed to determine whether they reflected an area of educational need. RESULTS: Eight residents participated. Investigators coded 118 concepts. Educational need was identified in 102 (86%) of the concepts, with medical knowledge identified as the area of greatest need. CONCLUSION: This study supports the need for improved education in geriatrics care at our program. This process facilitated the development of a new curriculum at our program and demonstrated that the concept coding technique is useful for analysis of focus groups for needs assessment in surgical education.

A filter-based evolutionary algorithm for constrained optimization.

We introduce a filter-based evolutionary algorithm (FEA) for constrained optimization. The filter used by an FEA explicitly imposes the concept of dominance on a partially ordered solution set. We show that the algorithm is provably robust for both linear and nonlinear problems and constraints. FEAs use a finite pattern of mutation offsets, and our analysis is closely related to recent convergence results for pattern search methods. We discuss how properties of this pattern impact the ability of an FEA to converge to a constrained local optimum.