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ObjectiveTo examine associations between the composition of the vaginal microbiota and genitourinary menopausal symptoms, serum estrogen, and vaginal glycogen.MethodsFor this cross-sectional study, 88 women aged 40 to 62 years, enrolled in a hot flash treatment trial, provided vaginal swabs and a blood sample at enrollment. Bacterial communities were characterized using 16S rRNA PCR and deep sequencing targeting the V3-V4 region. Quantities of Lactobacillus crispatus and Lactobacillus iners were measured using qPCR. Self-reported genitourinary symptoms included: presence and severity of individual symptoms and identification of most bothersome symptom. Glycogen was measured fluorometrically in swab eluate. Serum estradiol (E2) and estrone (E1) were measured by liquid chromatography/mass spectrometry. Associations between bacteria, symptoms, glycogen, and serum estrogens were tested by linear regression or Wilcoxon signed-rank test, adjusted for multiple comparisons. Comparisons between groups used Kruskall-Wallis or Fisher's exact test.ResultsOf the 88 women, 33 (38%) had a majority of Lactobacillus species, whereas 58 (66%) had any Lactobacillus detected. Over half (53%) reported at least one vulvovaginal symptom (most commonly dryness), but symptoms were not associated with the presence of Lactobacillus species. Women with Lactobacillus-dominant communities had higher unconjugated serum estrone, but no difference in vaginal glycogen levels, compared with those with non-Lactobacillus-dominant communities. Higher serum E2 and E1 were not associated with either higher vaginal glycogen or detection of individual genera.ConclusionsPresence of Lactobacillus-dominant vaginal microbiota was not associated with fewer vulvovaginal symptoms. Serum estrone was higher in women with Lactobacillus dominance, but vaginal-free glycogen was not associated with composition of the vaginal microbiota.

Study objectivesTo determine effects of yoga and aerobic exercise compared with usual activity on objective assessments of sleep in midlife women.MethodsSecondary analyses of a randomized controlled trial in the Menopause Strategies: Finding Lasting Answers for Symptoms and Health (MsFLASH) network conducted among 186 late transition and postmenopausal women aged 40-62 y with hot flashes. Women were randomized to 12 w of yoga, supervised aerobic exercise, or usual activity. The mean and coefficient of variation (CV) of change in actigraph sleep measures from each intervention group were compared to the usual activity group using linear regression models.ResultsBaseline values of the primary sleep measures for the entire sample were mean total sleep time (TST) = 407.5 ± 56.7 min; mean wake after sleep onset (WASO) = 54.6 ± 21.8 min; mean CV for WASO = 37.7 ± 18.7 and mean CV for number of long awakenings > 5 min = 81.5 ± 46.9. Changes in the actigraphic sleep outcomes from baseline to weeks 11-12 were small, and none differed between groups. In an exploratory analysis, women with baseline Pittsburgh Sleep Quality Index higher than 8 had significantly reduced TST-CV following yoga compared with usual activity.ConclusionsThis study adds to the currently scant literature on objective sleep outcomes from yoga and aerobic exercise interventions for this population. Although small effects on self-reported sleep quality were previously reported, the interventions had no statistically significant effects on actigraph measures, except for potentially improved sleep stability with yoga in women with poor self-reported sleep quality.

A cascade heuristic appeals when we are faced with a monolithic optimization model exhibiting more decision variables and/or constraints than can be accommodated by computers and/or optimization software available. This thesis studies the implementation and bounding of a cascade heuristic by using the integer linear program implementations of two applications, a production model (PM) and the USMC Hornet Assignment Sundown Model (HASMa). While the solutions for PM are within 5% of the optimal solution for a wide variety of cascade heuristic implementations, the solutions for HASMa deviate, in some cases, by over 99% of the optimal solution. To provide a metric for the quality of a cascade heuristic solution, we produce a lower bound for the optimal objective function value by aggregating segments of each model's periods. For PM, the aggregated models produce lower bounds all within 2% of the optimal objective function value. For HASMa, the lower bounds can be up to 50% from the optimal objective function value but are within 10% of optimal when the aggregation includes just one-third of the periods. In both cases, finding a lower bound for the optimal objective function value provides significant insight to the quality of the cascade heuristic solution.

ImportanceKRAS mutations are common in pancreatic cancer, but directly targeting the KRAS protein has thus far been unsuccessful. The aim of this trial was to block the MEK and PI3K/AKT pathways downstream of the KRAS protein as an alternate treatment strategy to slow cancer growth and prolong survival. This was the first cooperative group trial to evaluate this strategy using molecularly targeted oral combination therapy for the treatment of chemotherapy-refractory pancreatic cancer.ObjectiveTo compare selumetinib and MK-2206 vs modified FOLFOX (mFOLFOX) in patients with metastatic pancreatic cancer for whom gemcitabine-based therapy had failed.Design, setting, and participantsSWOG S1115 was a randomized phase 2 clinical trial. Between September 2012 and May 2014, 137 patients with metastatic pancreatic adenocarcinoma for whom gemcitabine-based chemotherapy had failed were randomized to selumetinib plus MK-2206 or mFOLFOX. Patients were randomized in a 1:1 fashion and stratified according to duration of prior systemic therapy and presence of liver metastases.InterventionsPatients received selumetinib 100 mg orally per day plus MK-2206 135 mg orally once per week or mFOLFOX (oxaliplatin, 85 mg/m2 intravenous, and fluorouracil, 2400 mg/m2 intravenous infusion over 46-48 hours) on days 1 and 15 of a 28-day cycle.Main outcomes and measuresThe primary end point of the study was overall survival. Secondary objectives included evaluating toxic effects, objective tumor response, and progression-free survival.ResultsThere were 58 patients in the selumetinib plus MK-2206 (experimental) arm (60% male; median [range] age, 69 [54-88] years) and 62 patients in the mFOLFOX arm (35% male; median [range] age, 65 [34-82] years). In the experimental arm, median overall survival was shorter (3.9 vs 6.7 months; HR, 1.37; 95% CI, 0.90-2.08; P = .15), as was median progression-free survival (1.9 vs 2.0 months; HR, 1.61; 95% CI, 1.07-2.43; P = .02). One vs 5 patients had a partial respons

ObjectiveOur objective was to identify symptom clusters using standardized measures completed by participants in the Menopausal Strategies: Finding Lasting Answers to Symptoms and Health clinical trial at baseline, including hot flash interference, and sleep, depressive, anxiety, and pain symptoms.MethodsData from all women randomized to interventions and controls from Menopausal Strategies: Finding Lasting Answers to Symptoms and Health studies 1, 2, and 3 (N = 899) were included; 797 with complete data were used in the analyses. Scores from standardized measures obtained at baseline included the following: Hot Flash-Related Daily Interference Scale, Insomnia Severity Index, Pittsburgh Sleep Quality Index, Patient Health Questionnaire-9 measure of depressed mood, Generalized Anxiety Disorder, and Brief Pain Inventory PEG scores (pain intensity [P], interference with enjoyment of life [E], and interference with daily activity [G]). Latent class analysis was used to identify symptom clusters using standardized scale scores and their established cut points.ResultsWe identified five classes using the Bayesian Information Criterion and the Akaike Information Criterion. Women in classes 1 and 2 had high hot flash interference levels relative to the others, and class 1 (10.5% of total) included severe hot flash interference, severe sleep symptoms, and moderately severe pain symptoms (hot flash, sleep, pain). In class 2 (14.1%), severe hot flash interference was paired with the severe sleep symptoms, and moderate to severe depressed and anxious mood symptoms and pain (hot flash, sleep, mood, pain). In class 3 (39.6%), women reported moderately severe sleep symptoms with moderate hot flash interference, and low severity mood and pain symptoms (hot flash, sleep). Those in class 4 (7.0%) reported moderate hot flash interference with severe levels of anxiety and depressed mood symptoms, but low levels of other symptoms (hot flash, mood). Women in class 5 (28.7%) reported the l

ObjectivesHeart rate variability (HRV) reflects the integration of the parasympathetic nervous system with the rest of the body. Studies on the effects of yoga and exercise on HRV have been mixed but suggest that exercise increases HRV. We conducted a secondary analysis of the effect of yoga and exercise on HRV based on a randomized clinical trial of treatments for vasomotor symptoms in peri/post-menopausal women.DesignRandomized clinical trial of behavioral interventions in women with vasomotor symptoms (n=335), 40-62 years old from three clinical study sites.Interventions12-weeks of a yoga program, designed specifically for mid-life women, or a supervised aerobic exercise-training program with specific intensity and energy expenditure goals, compared to a usual activity group.Main outcome measuresTime and frequency domain HRV measured at baseline and at 12 weeks for 15min using Holter monitors.ResultsWomen had a median of 7.6 vasomotor symptoms per 24h. Time and frequency domain HRV measures did not change significantly in either of the intervention groups compared to the change in the usual activity group. HRV results did not differ when the analyses were restricted to post-menopausal women.ConclusionsAlthough yoga and exercise have been shown to increase parasympathetic-mediated HRV in other populations, neither intervention increased HRV in middle-aged women with vasomotor symptoms. Mixed results in previous research may be due to sample differences. Yoga and exercise likely improve short-term health in middle-aged women through mechanisms other than HRV.

ImportanceEffective, practical, nonpharmacologic therapies are needed to treat menopause-related insomnia symptoms in primary and women's specialty care settings.ObjectiveTo evaluate the efficacy of telephone-based cognitive behavioral therapy for insomnia (CBT-I) vs menopause education control (MEC).Design, setting, and participantsA single-site, randomized clinical trial was conducted from September 1, 2013, to August 31, 2015, in western Washington State among 106 perimenopausal or postmenopausal women aged 40 to 65 years with moderate insomnia symptoms (Insomnia Severity Index [ISI] score, ≥12) and 2 or more daily hot flashes. Blinded assessments were conducted at baseline, 8, and 24 weeks postrandomization. An intent-to-treat analysis was conducted.InterventionsSix CBT-I or MEC telephone sessions in 8 weeks. Participants submitted weekly electronic sleep diaries and received group-specific written educational materials. The CBT-I sessions included sleep restriction, stimulus control, sleep hygiene education, cognitive restructuring, and behavioral homework; MEC sessions provided information about menopause and women's health.Main outcomes and measuresPrimary outcome was scores on the ISI (score range, 0-28; scores ≥15 indicate moderate to severe insomnia). Secondary outcome was scores on the Pittsburgh Sleep Quality Index (score range, 0-21; higher scores indicate worse sleep quality). Additional outcomes included sleep and hot flash diary variables and hot flash interference.ResultsAt 8 weeks, ISI scores had decreased 9.9 points among 53 women receiving CBT-I (mean [SD] age, 55.0 [3.5] years) and 4.7 points among 53 women receiving MEC (age, 54.7 [4.7] years), a mean between-group difference of 5.2 points (95% CI, -6.1 to -3.3; P < .001). Pittsburgh Sleep Quality Index scores decreased 4.0 points in women receiving CBT-I and 1.4 points in women receiving MEC, a mean between-group difference of 2.7 points (95% CI, -3.9 to -1.5; P < .001). Significant grou

ObjectiveResearch has suggested that the autonomic nervous system (ANS) is involved in the experience of vasomotor symptoms (VMS) during menopause. We examined the relationship of VMS intensity and heart rate variability (HRV), a measure of ANS function.MethodsWomen (n = 282) were recruited from three American states for a clinical trial of yoga, exercise, and omega-3 fatty acid supplements for VMS. To be eligible, women had to report at least 14 VMS per week, with some being moderate to severe. Sitting electrocardiograms were recorded for 15 min using Holter monitors at both baseline and 12-week follow-up. Time and frequency domain HRV measures were calculated. Women completed daily diary measures of VMS frequency and intensity for 2 weeks at baseline and for 1 week at the follow-up assessment 12 weeks later. Multivariable linear regression was used to assess the relationship between VMS and baseline HRV measures and to compare change in HRV with change in VMS over the 12 weeks.ResultsBaseline HRV was not associated with either VMS frequency or intensity at baseline. Change in HRV was not associated with change in VMS frequency or intensity across the follow-up.InterpretationHeart rate variability (HRV) was not associated with basal VMS frequency or intensity in perimenopausal and postmenopausal women experiencing high levels of VMS. Autonomic function may be associated with the onset or presence of VMS, but not with the number or intensity of these symptoms.

Natural acquisition of small amounts of foreign cells or DNA, referred to as microchimerism, occurs primarily through maternal-fetal exchange during pregnancy. Microchimerism can persist long-term and has been associated with both beneficial and adverse human health outcomes. Quantitative microchimerism data present challenges for statistical analysis, including a skewed distribution, excess zero values, and occasional large values. Methods for comparing microchimerism levels across groups while controlling for covariates are not well established. We compared statistical models for quantitative microchimerism values, applied to simulated data sets and 2 observed data sets, to make recommendations for analytic practice. Modeling the level of quantitative microchimerism as a rate via Poisson or negative binomial model with the rate of detection defined as a count of microchimerism genome equivalents per total cell equivalents tested utilizes all available data and facilitates a comparison of rates between groups. We found that both the marginalized zero-inflated Poisson model and the negative binomial model can provide unbiased and consistent estimates of the overall association of exposure or study group with microchimerism detection rates. The negative binomial model remains the more accessible of these 2 approaches; thus, we conclude that the negative binomial model may be most appropriate for analyzing quantitative microchimerism data.