Forecasting Hepatitis C Virus Status for Children in the United States: A Modeling Study.

BACKGROUND: Virtually all cases of hepatitis C virus (HCV) infection in children in the United States occur through vertical transmission, but it is unknown how many children are infected. Cases of maternal HCV infection have increased in the United States, which may increase the number of children vertically infected with HCV. Infection has long-term consequences for a child's health, but treatment options are now available for children ≥3 years old. Reducing HCV infections in adults could decrease HCV infections in children. METHODS: Using a stochastic compartmental model, we forecasted incidence of HCV infections in children in the United States from 2022 through 2027. The model considered vertical transmission to children <13 years old and horizontal transmission among individuals 13-49 years old. We obtained model parameters and initial conditions from the literature and the Centers for Disease Control and Prevention's 2021 Viral Hepatitis Surveillance Report. RESULTS: Model simulations assuming direct-acting antiviral treatment for children forecasted that the number of acutely infected children would decrease slightly and the number of chronically infected children would decrease even more. Alone, treatment and early screening in individuals 13-49 years old reduced the number of forecasted cases in children and, together, these policy interventions were even more effective. CONCLUSIONS: Based on our simulations, acute and chronic cases of HCV infection are remaining constant or slightly decreasing in the United States. Improving early screening and increasing access to treatment in adults may be an effective strategy for reducing the number of HCV infected children in the United States.

Racial and Economic Segregation Over the Life Course and Incident Hypertensive Disorders of Pregnancy Among Black Women in California.

Black women in the United States have the highest incidence of hypertensive disorders of pregnancy (HDP) and are disproportionately burdened by its adverse sequalae, compared with women of all racial and ethnic groups. Segregation, a key driver of structural racism for Black families, can provide information critical to understanding these disparities. We examined the association between racial and economic segregation at 2 points and incident HDP using intergenerationally linked birth records of 45,204 Black California-born primiparous mothers (born 1982-1997) and their infants (born 1997-2011), with HDP ascertained from hospital discharge records. Women's early childhood and adulthood neighborhoods were categorized as deprived, mixed, or privileged based on the Index of Concentration at the Extremes (a measure of concentrated racial and economic segregation), yielding 9 life-course trajectories. Women living in deprived neighborhoods at both time points experienced the highest odds of HDP (from mixed effect logistic regression, unadjusted odds ratio = 1.26, 95% confidence interval: 1.13, 1.40) compared with women living in privileged neighborhoods at both time points. All trajectories involving residence in a deprived neighborhood in early childhood or adulthood were associated with increased odds of HDP, whereas mixed-privileged and privileged-mixed trajectories were not. Future studies should assess the causal nature of these associations.

Reconsidering stepped wedge cluster randomized trial designs with implementation periods: Fewer sequences or the parallel-group design with baseline and implementation periods are potentially more efficient.

BACKGROUND/AIMS: When designing a cluster randomized trial, advantages and disadvantages of tentative designs must be weighed. The stepped wedge design is popular for multiple reasons, including its potential to increase power via improved efficiency relative to a parallel-group design. In many realistic settings, it will take time for clusters to fully implement the intervention. When designing the HEALing (Helping to End Addiction Long-termSM) Communities Study, implementation time was a major consideration, and we examined the efficiency and practicality of three designs. Specifically, a three-sequence stepped wedge design with implementation periods, a corresponding two-sequence modified design that is created by removing the middle sequence, and a parallel-group design with baseline and implementation periods. In this article, we study the relative efficiencies of these specific designs. More generally, we study the relative efficiencies of modified designs when the stepped wedge design with implementation periods has three or more sequences. We also consider different correlation structures. METHODS: We compare efficiencies of stepped wedge designs with implementation periods consisting of three to nine sequences with a variety of corresponding designs. The three-sequence design is compared to the two-sequence modified design and to the parallel-group design with baseline and implementation periods analysed via analysis of covariance. Stepped wedge designs with implementation periods consisting of four or more sequences are compared to modified designs that remove all or a subset of 'middle' sequences. Efficiencies are based on the use of linear mixed effects models. RESULTS: In the studied settings, the modified design is more efficient than the three-sequence stepped wedge design with implementation periods. The parallel-group design with baseline and implementation periods with analysis of covariance-based analysis is often more efficient than the three-sequence design. With respect to stepped wedge designs with implementation periods that are comprised of more sequences, there are often corresponding modified designs that improve efficiency. However, use of only the first and last sequences has the potential to be either relatively efficient or inefficient. Relative efficiency is impacted by the strength of the statistical correlation among outcomes from the same cluster; for example, the relative efficiencies of modified designs tend to be greater for smaller cluster auto-correlation values. CONCLUSION: If a three-sequence stepped wedge design with implementation periods is being considered for a future cluster randomized trial, then a corresponding modified design using only the first and last sequences should be considered if sole focus is on efficiency. However, a parallel-group design with baseline and implementation periods and analysis of covariance-based analysis can be a practical, efficient alternative. For stepped wedge designs with implementation periods and a larger number of sequences, modified versions that remove 'middle' sequences should be considered. Due to the potential sensitivity of design efficiencies, statistical correlation should be carefully considered.

Entospletinib with decitabine in acute myeloid leukemia with mutant TP53 or complex karyotype: A phase 2 substudy of the Beat AML Master Trial.

BACKGROUND: Patients with acute myeloid leukemia (AML) who have tumor protein p53 (TP53) mutations or a complex karyotype have a poor prognosis, and hypomethylating agents are often used. The authors evaluated the efficacy of entospletinib, an oral inhibitor of spleen tyrosine kinase, combined with decitabine in this patient population. METHODS: This was a multicenter, open-label, phase 2 substudy of the Beat AML Master Trial (ClinicalTrials.gov identifier NCT03013998) using a Simon two-stage design. Eligible patients aged 60 years or older who had newly diagnosed AML with mutations in TP53 with or without a complex karyotype (cohort A; n = 45) or had a complex karyotype without TP53 mutation (cohort B; n = 13) received entospletinib 400 mg twice daily with decitabine 20 mg/m2 on days 1-10 every 28 days for up to three induction cycles, followed by up to 11 consolidation cycles, in which decitabine was reduced to days 1-5. Entospletinib maintenance was given for up to 2 years. The primary end point was complete remission (CR) and CR with hematologic improvement by up to six cycles of therapy. RESULTS: The composite CR rates for cohorts A and B were 13.3% (95% confidence interval, 5.1%-26.8%) and 30.8% (95% confidence interval, 9.1%-61.4%), respectively. The median duration of response was 7.6 and 8.2 months, respectively, and the median overall survival was 6.5 and 11.5 months, respectively. The study was stopped because the futility boundary was crossed in both cohorts. CONCLUSIONS: The combination of entospletinib and decitabine demonstrated activity and was acceptably tolerated in this patient population; however, the CR rates were low, and overall survival was short. Novel treatment strategies for older patients with TP53 mutations and complex karyotype remain an urgent need.

Differences in obesity-related health behaviors and health outcomes by rural and Appalachian residency.

PURPOSE: Obesity and health behaviors are the major modifiable contributors to cancer and health disparities. We examined the differences in obesity-related health behaviors, and health outcomes by rural and Appalachian residency in Ohio. METHODS: Cross-sectional survey data from the 2011-2019 Behavioral Risk Factor Surveillance System were obtained from the Ohio Department of Health. County-level identifiers were used to classify urban non-Appalachian, urban Appalachian, rural non-Appalachian, and rural Appalachian residency. Self-reported weight, height, health behaviors, and health conditions were used. Logistic regression was used to assess the difference in health behaviors and health outcomes by rural and Appalachian residency. All analyses incorporated with sample weights. RESULTS: Among Ohio residents, compared to urban non-Appalachian residents, urban Appalachian and rural Appalachian residents had a higher prevalence of obesity, hypertension, high cholesterol, and cardiovascular diseases, as well as lower rates of healthy diet and physical activity. No difference was found in trends of obesity and obesity-related health outcomes in 2011-2019 by rural and Appalachian residency. However, rural Appalachian residents had a greater increase in obesity, hypertension, and diabetes, whereas rural non-Appalachian had favorable changes in obesity-related health behaviors. Additionally, associations between health behaviors and obesity-related health outcomes differed by rural and Appalachian residency. CONCLUSIONS: Findings underscore the importance of distinguishing between urban non-Appalachian, urban Appalachian, rural non-Appalachian, and rural Appalachian populations when assessing health disparities. While the trends of obesity and obesity-related health outcomes did not differ, the association between health behaviors and obesity-related outcomes differed by rural and Appalachian residency.

BRCAShare-Assessment of an animated digital message for intrafamilial communication of pathogenic variant positive test results: A feasibility study.

While genetic testing for hereditary breast and ovarian cancer syndrome (HBOC) is well-established in the field of medicine, family members' uptake of cascade genetic testing for known familial pathogenic variants remains low. Probands often become responsible for initiating familial communication about their testing results, and barriers to communication may include difficulty in conveying information to relatives and a lack of communication resources for probands' use. In this study, we tested a two-minute animated digital message (ADM) intervention guided by the Health Belief Model (HBM) in an unselected sample to determine hypothetical individual perceptions of susceptibility and severity and behavioral intention to act on the information provided in the ADM. We recruited genetic testing naïve adults from the United States with no personal history of cancer through Amazon Mechanical Turk to participate in this study. Participants were presented a hypothetical scenario describing a relative's recent HBOC diagnosis, viewed the ADM, and answered a questionnaire assessing participants' perception of the HBM constructs in relation to the hypothetical scenario and participants' intentions to pursue cascade genetic testing, talk to a healthcare professional, or talk to family members after ADM viewing. Participants (n = 373) largely perceived HBOC as serious and believed that they could benefit from the information provided by genetic testing; 76% hypothetically intended to pursue genetic testing at a cost of $100 or less, and 90% intended to either pursue testing or talk to a healthcare provider or family members. This feasibility study in an unaffected population could mimic the experience of distant/less-engaged relatives in HBOC families after receiving unexpected information about cascade genetic testing. Most participants demonstrated behavioral intention toward cascade testing, at a rate higher than literature would suggest is typical in high-risk families, indicating that a theory-supported, simple to use intervention may be useful in clinical practice.

Maternal Hepatitis C Virus Infection and Adverse Newborn Outcomes in the US.

OBJECTIVES: We investigated the relationship between maternal hepatitis C virus (HCV) infection and infant health. Furthermore, we evaluated racial disparities with these associations. METHODS: Using 2017 US birth certificate data, we investigated the association between maternal HCV infection and infant birthweight, preterm birth, and Apgar score. We used unadjusted and adjusted linear regression and logistic regression models. Models were adjusted for use of prenatal care, maternal age, maternal education, maternal smoking status, and the presence of other sexually transmitted infections. We stratified the models by race to describe the experiences of White and Black women separately. RESULTS: Maternal HCV infection was associated with reduced infant birthweight on average by 42.0 g (95% CI: -58.81, -25.30) for women of all races, 64.6 g (95% CI: -81.91, -47.26) for White women and 80.3 g (95% CI: -162.48, 1.93) for Black women. Women with maternal HCV infection had increased odds of having a preterm birth of 1.06 (95% CI: 0.96, 1.17) for women of all races, 1.06 (95% CI: 0.96, 1.18) for White women and 1.35 (95% CI: 0.93, 1.97) for Black women. Overall, women with maternal HCV infection had increased odds 1.26 (95% CI: 1.03, 1.55) of having a low/intermediate Apgar score; White and Black women with HCV infection had similarly increased odds of an infant with low/intermediate Apgar score in a stratified analysis: 1.23 (95% CI: 0.98, 1.53) for White women and 1.24 (95% CI: 0.51, 3.02) for Black women. CONCLUSIONS: Maternal HCV infection was associated with lower infant birthweight and higher odds of having a low/intermediate Apgar score. Given the potential for residual confounding, these results should be interpreted with caution.

Predictors of Stress Exposure in Hospitalized Preterm Infants.

BACKGROUND: Stress exposure in the neonatal intensive care unit (NICU) is associated with poor outcomes in preterm infants. However, factors predicting subsequent NICU stress exposure have not been identified. PURPOSE: To characterize NICU stressors experienced by preterm infants during the first 2 weeks of life and identify demographic, perinatal, and institutional variables associated with stress exposure. METHODS: A secondary analysis of data from a nonexperimental, prospective study was conducted using data from 60 very preterm infants born 28 to 31 weeks gestational age. Stress exposures during the first 2 weeks of life, operationalized as number of invasive procedures, were characterized by type and quantity for each infant using data extracted from electronic health records. Associations between number of invasive procedures and demographic, perinatal, or institutional variables were analyzed using linear regressions with robust standard errors. RESULTS: Preterm infants experienced, on average, 98 (SD = 41.8) invasive procedures. Of these invasive procedures, nasal and/or oral suctioning episodes (58.1%), followed by skin-breaking procedures (32.6%), were most frequent. Differences in the number of invasive procedures were found for maternal race; infants born to Black mothers experienced fewer total invasive procedures than infants born to White mothers. The number of invasive procedures also varied across NICUs. IMPLICATIONS FOR PRACTICE AND RESEARCH: Preterm infant stress exposure differed by maternal race and NICU, consistent with research findings of differential treatment of diverse infants. Further research is needed to understand the reasons for these differences and to identify best practices to standardize neonatal care.

The Role of Cigarillo Flavor in the Co-Use of Cigarillos and Cannabis among Young Adults.

Background: Research suggests flavor facilitates cigarillo use, but it is unknown if flavor impacts patterns of co-use of cigarillos and cannabis ("co-use"), which is common among young adult smokers. This study's aim was to determine the role of the cigarillo flavor in co-use among young adults. Methods: Data were collected (2020-2021) in a cross-sectional online survey administered to young adults who smoked ≥2 cigarillos/week (N = 361), recruited from 15 urban areas in the United States. A structural equation model was used to assess the relationship between flavored cigarillo use and past 30-day cannabis use (flavored cigarillo perceived appeal and harm as parallel mediators), including several social-contextual covariates (e.g., flavor and cannabis policies). Results: Most participants reported usually using flavored cigarillos (81.8%) and cannabis use in the past 30 days ("co-use") (64.1%). Flavored cigarillo use was not directly associated with co-use (p = 0.90). Perceived cigarillo harm (ß = 0.18, 95% CI = 0.06, 0.29), number of tobacco users in the household (ß = 0.22, 95% CI = 0.10, 0.33), and past 30-day use of other tobacco products (ß = 0.23, 95% CI = 0.15, 0.32) were significantly positively associated with co-use. Living in an area with a ban on flavored cigarillos was significantly negatively associated with co-use (ß = -0.12, 95% CI = -0.21, -0.02). Conclusions: Use of flavored cigarillos was not associated with co-use; however, exposure to a flavored cigarillo ban was negatively associated with co-use. Cigar product flavor bans may reduce co-use among young adults or have a neutral impact. Further research is needed to explore the interaction between tobacco and cannabis policy and use of these products.

Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model.

BACKGROUND/AIMS: This work is motivated by the HEALing Communities Study, which is a post-test only cluster randomized trial in which communities are randomized to two different trial arms. The primary interest is in reducing opioid overdose fatalities, which will be collected as a count outcome at the community level. Communities range in size from thousands to over one million residents, and fatalities are expected to be rare. Traditional marginal modeling approaches in the cluster randomized trial literature include the use of generalized estimating equations with an exchangeable correlation structure when utilizing subject-level data, or analogously quasi-likelihood based on an over-dispersed binomial variance when utilizing community-level data. These approaches account for and estimate the intra-cluster correlation coefficient, which should be provided in the results from a cluster randomized trial. Alternatively, the coefficient of variation or R coefficient could be reported. In this article, we show that negative binomial regression can also be utilized when communities are large and events are rare. The objectives of this article are (1) to show that the negative binomial regression approach targets the same marginal regression parameter(s) as an over-dispersed binomial model and to explain why the estimates may differ; (2) to derive formulas relating the negative binomial overdispersion parameter k with the intra-cluster correlation coefficient, coefficient of variation, and R coefficient; and (3) analyze pre-intervention data from the HEALing Communities Study to demonstrate and contrast models and to show how to report the intra-cluster correlation coefficient, coefficient of variation, and R coefficient when utilizing negative binomial regression. METHODS: Negative binomial and over-dispersed binomial regression modeling are contrasted in terms of model setup, regression parameter estimation, and formulation of the overdispersion parameter. Three specific models are used to illustrate concepts and address the third objective. RESULTS: The negative binomial regression approach targets the same marginal regression parameter(s) as an over-dispersed binomial model, although estimates may differ. Practical differences arise in regard to how overdispersion, and hence the intra-cluster correlation coefficient is modeled. The negative binomial overdispersion parameter is approximately equal to the ratio of the intra-cluster correlation coefficient and marginal probability, the square of the coefficient of variation, and the R coefficient minus 1. As a result, estimates corresponding to all four of these different types of overdispersion parameterizations can be reported when utilizing negative binomial regression. CONCLUSION: Negative binomial regression provides a valid, practical, alternative approach to the analysis of count data, and corresponding reporting of overdispersion parameters, from community randomized trials in which communities are large and events are rare.

Tailored Mobile Messaging Intervention for Waterpipe Tobacco Cessation in Young Adults: A Randomized Trial.

Objectives. To test a tailored mobile health (i.e., mHealth) intervention for waterpipe tobacco cessation in young adults. Methods. From 2018 to 2020 at 2 US sites, we conducted a randomized trial with 349 waterpipe tobacco smokers aged 18 to 30 years randomized to control (no intervention), untailored, or tailored intervention arms. Intervention arms received a 6-week mHealth intervention conveying risks of waterpipe tobacco through text and images and strategies to enhance motivation and support quitting. The tailored intervention was personalized to baseline measures and intervention text message responses. Risk appraisals, motivation to quit, waterpipe smoking frequency, and cessation were assessed at 6 weeks, 3 months, and 6 months. Results. At 6 months, cessation was higher in the tailored (49%) than the control arm (29%; odds ratio = 2.4; 95% confidence interval = 1.3, 4.2) and smoking frequency was lower in the tailored (mean = 3.5 days) than the control arm (mean = 4.3 days; P = .006). At interim follow-ups, significant differences in other outcomes favored the tailored intervention. Conclusions. Tailored mobile messaging can help young adult waterpipe tobacco smokers quit. This scalable intervention is poised for population implementation.

Role of temporal discounting in a conditional cash transfer (CCT) intervention to improve engagement in the prevention of mother-to-child transmission (PMTCT) cascade.

BACKGROUND: Temporal discounting, the tendency of individuals to discount future costs and benefits relative to the present, is often associated with greater engagement in risky behaviors. Incentives such as conditional cash transfers (CCTs) have the potential to counter the effects of high discount rates on health behaviors. METHODS: With data from a randomized trial of a CCT intervention among 434 HIV-positive pregnant women in the Democratic Republic of Congo, we used binomial models to assess interactions between discount rates (measured using a delay-discounting task) and the intervention. The analysis focused on two outcomes: 1) retention in HIV care, and 2) uptake of prevention of mother-to-child transmission (PMTCT) services. RESULTS: The effect of high discount rates on retention was small, and we did not observe evidence of interaction between high discount rates and CCT on retention. However, our findings suggest that CCT may mitigate the negative effect of high discount rates on uptake of PMTCT services (interaction contrast (IC): 0.18, 95% CI: - 0.09, 0.44). CONCLUSIONS: Our findings provide evidence to support the continued use of small, frequent incentives, to motivate improved uptake of PMTCT services, especially among women exhibiting high rates of temporal discounting. TRIAL REGISTRATION: Clinicaltrials.gov number NCT01838005 , April 23, 2013.

The impact of a cascade testing video on recipients' knowledge, cognitive message processing, and affective reactions: A formative evaluation.

Cascade genetic testing is essential to clarify cancer risk in families with hereditary breast and ovarian cancer syndrome (HBOC) due to pathogenic variants (PVs) in BRCA1 or BRCA2. To date, data suggest that family communication of genetic testing results, with or without the aid of clinical resources such as a provider-written family letter, is impacted by multiple barriers. These barriers eventually lead to sub-optimal uptake of cascade genetic testing. We designed a 2-min animated video that a proband can share with relatives to notify them that the proband has tested positive for a pathogenic variant in BRCA1 or BRCA2. We studied the video via hypothetical scenario in an unselected population to simulate the process by which a relative receives unsolicited genetics information about their family member. We assessed the impact of the video on three specific domains: knowledge, cognitive message processing, and affective reactions. A total of 399 participants recruited through Amazon Mechanical Turk completed the study, and 373 were analyzed. The video significantly improved content knowledge/recall (p < .0001) from pre- to post-video viewing, indicating effective message communication. Items used to measure cognitive processing showed preliminary tendencies toward systematic message processing, which could be desired in familial communication aimed at initiating a specific action-in this case, cascade genetic testing. A majority of participants (66%) reported positive affective reaction as they indicated that they would feel gratitude if they received the video message from a relative, and did not evidence a negative affective reaction to receiving the information. Our data suggest that a video message can effectively communicate information about cascade genetic testing to potential relatives with as little as two minutes of content. Our data suggest that video messaging to assist family communication is a reasonable approach that increases understanding and is unlikely to cause harm.

A Teachable Moment: Colorectal Cancer Screening Among Companions Waiting for Outpatients Undergoing a Colonoscopy.

To determine colorectal cancer (CRC) screening knowledge, attitudes, behaviors, and preferences for a future CRC screening educational intervention among adults (companions) waiting for outpatients undergoing a colonoscopy. We approached 384 companions at three endoscopy centers associated with one healthcare system to complete a survey from March to July 2017. The survey assessed CRC and CRC screening knowledge, attitudes, behaviors, and preferences for a future CRC screening educational intervention. There were 164 companions at average risk for CRC that completed a self-administered survey. Among average-risk companions, 23% were not within screening guidelines. Additionally, 74% of those not within guidelines reported that they had never completed a CRC screening test. The most frequently reported barriers to CRC screening were the perception of not needing screening because they were asymptomatic and lack of a provider recommendation for screening. Companions suggested that a future CRC screening intervention include a brochure and/or a brief video, featuring men and women from different races/ethnicities, a CRC survivor, and a healthcare professional. Almost one-fourth of average-risk companions waiting at endoscopy centers were not within CRC screening guidelines, providing a teachable moment to recruit companions to participate in an educational intervention to encourage screening. Companions provided suggestions (e.g., content and channel) for a future intervention to promote CRC screening in this population.

Phase I Study of Veliparib on an Intermittent and Continuous Schedule in Combination with Carboplatin in Metastatic Breast Cancer: A Safety and [18F]-Fluorothymidine Positron Emission Tomography Biomarker Study.

BACKGROUND: Poly(ADP-ribose) polymerase inhibitors (PARPis) are U.S. Food and Drug Administration (FDA) approved for treatment of BRCA-mutated metastatic breast cancer. Furthermore, the BROCADE studies demonstrated benefit of adding an oral PARPi, veliparib, to carboplatin and paclitaxel in patients with metastatic breast cancer harboring BRCA mutation. Given multiple possible dosing schedules and the potential benefit of this regimen for patients with defective DNA repair beyond BRCA, we sought to find the recommended phase II dose (RP2D) and schedule of veliparib in combination with carboplatin in patients with advanced breast cancer, either triple-negative (TNBC) or hormone receptor (HR)-positive, human epidermal growth receptor 2 (HER2) negative with defective Fanconi anemia (FA) DNA-repair pathway based on FA triple staining immunofluorescence assay. MATERIALS AND METHODS: Patients received escalating doses of veliparib on a 7-, 14-, or 21-day schedule with carboplatin every 3 weeks. Patients underwent [18]fluoro-3'-deoxythymidine (18 FLT) positron emission tomography (PET) imaging. RESULTS: Forty-four patients (39 TNBC, 5 HR positive/HER2 negative with a defective FA pathway) received a median of 5 cycles (range 1-36). Observed dose-limiting toxicities were grade (G) 4 thrombocytopenia (n = 4), G4 neutropenia (n = 1), and G3 akathisia (n = 1). Common grade 3-4 toxicities included thrombocytopenia, lymphopenia, neutropenia, anemia, and fatigue. Of the 43 patients evaluable for response, 18.6% achieved partial response and 48.8% had stable disease. Median progression-free survival was 18.3 weeks. RP2D of veliparib was established at 250 mg twice daily on days 1-21 along with carboplatin at area under the curve 5. Patients with partial response had a significant drop in maximum standard uptake value (SUVmax ) of target lesions between baseline and early in cycle 1 based on 18 FLT-PET (day 7-21; ptrend = .006). CONCLUSION: The combination of continuous dosing of veliparib and every-3-week carboplatin demonstrated activity and an acceptable toxicity profile. Decrease in SUVmax on 18 FLT-PET scan during the first cycle of this therapy can identify patients who are likely to have a response. IMPLICATIONS FOR PRACTICE: The BROCADE studies suggest that breast cancer patients with BRCA mutation benefit from addition of veliparib to carboplatin plus paclitaxel. This study demonstrates that a higher dose of veliparib is tolerable and active in combination with carboplatin alone. With growing interest in imaging-based early response assessment, the authors demonstrate that decrease in [18]fluoro-3'-deoxythymidine positron emission tomography (FLT-PET) SUVmax during cycle 1 of therapy is associated with response. Collectively, this study established a safety profile of veliparib and carboplatin in advanced breast cancer while also providing additional data on the potential for FLT-PET imaging modality in monitoring therapy response.

Alzheimer's disease development in adults with Down syndrome: Caregivers' perspectives.

Research about Alzheimer's disease (AD) in individuals with Down syndrome (DS) has predominantly focused on the underlying genetics and neuropathology. Few studies have addressed how AD risk impacts caregivers of adults with DS. This study aimed to explore the perceived impact of AD development in adults with DS on caregivers by assessing caregiver knowledge, concerns, effect on personal life, and resource utilization via a 40-question (maximum) online survey. Survey distribution by four DS organizations and two DS clinics resulted in 89 caregiver respondents. Only 28 caregivers correctly answered all three AD knowledge questions. Caregivers gave an average AD concern rating of 5.30 (moderately concerned) and an average impact of possible diagnosis rating of 6.28 (very strong impact), which had a significant negative correlation with the age of the adult with DS (p = .009). Only 33% of caregivers reported utilization of resources to gain more information about the AD and DS association, with low levels of perceived usefulness. Our data reveal caregivers' misconceptions about AD development in DS, underutilization of available resources, and substantial concerns and perceived impacts surrounding a possible AD diagnosis. This study lays the foundation for how the medical community can better serve caregivers of aging adults with DS.

Variance formulae for multiphase stepped wedge cluster randomized trial.

In a multiphase stepped wedge cluster randomized trial (MSW-CRT), more than one intervention will be initiated on each sequence in a fixed order. Hence, with the MSW-CRT design, the effect of the first intervention can be evaluated when compared to control, as well as the added-on effects of the subsequent interventions. Studies that use MSW-CRT have been proposed, but properties of this design have not been explicitly studied. We derive closed-form variance formulae to test the interventions' effects, which can be readily used for sample size and power calculation. Additionally, we provide relationships between variances to test the interventions' effects and design parameters. Under special conditions, some important properties include: (i) the variances to test different interventions' effects (ie, the first intervention effect and the second intervention effect) may be same; (ii) as the cluster-period mean autocorrelation increases, the variance to test an intervention effect may first increase and then decrease; (iii) as the amount of periods between the initiations of two interventions (ie, lag) increases, the variance to test an intervention effect may remain unchanged. We illustrate the relationships between power and design parameters using the variance formulae. From a few illustrative examples, we observe that the statistical test that uses data only relevant to a specific intervention has inferior power (relative power loss <15%) compared to the test when using all the study data. Also, power is reduced when both the total number of periods and lag are decreased simultaneously (relative power loss <20%).

Multiple imputation by predictive mean matching in cluster-randomized trials.

BACKGROUND: Random effects regression imputation has been recommended for multiple imputation (MI) in cluster randomized trials (CRTs) because it is congenial to analyses that use random effects regression. This method relies heavily on model assumptions and may not be robust to misspecification of the imputation model. MI by predictive mean matching (PMM) is a semiparametric alternative, but current software for multilevel data relies on imputation models that ignore clustering or use fixed effects for clusters. When used directly for imputation, these two models result in underestimation (ignoring clustering) or overestimation (fixed effects for clusters) of variance estimates. METHODS: We develop MI procedures based on PMM that leverage these opposing estimated biases in the variance estimates in one of three ways: weighting the distance metric (PMM-dist), weighting the average of the final imputed values from two PMM procedures (PMM-avg), or performing a weighted draw from the final imputed values from the two PMM procedures (PMM-draw). We use Monte-Carlo simulations to evaluate our newly proposed methods relative to established MI procedures, focusing on estimation of treatment group means and their variances after MI. RESULTS: The proposed PMM procedures reduce the bias in the MI variance estimator relative to established methods when the imputation model is correctly specified, and are generally more robust to model misspecification than even the random effects imputation methods. CONCLUSIONS: The PMM-draw procedure in particular is a promising method for multiply imputing missing data from CRTs that can be readily implemented in existing statistical software.

Preferences for Pre-exposure Prophylaxis Service Delivery Among Female Sex Workers in Malawi: A Discrete Choice Experiment.

Female sex workers (FSW) in Malawi have among the highest HIV prevalence estimates worldwide. Daily oral pre-exposure prophylaxis (PrEP) is an effective HIV prevention method, yet preferences for PrEP delivery among FSW are lacking. Eight focus group discussions, a literature review, and cognitive interviews were conducted to identify modifiable PrEP delivery attributes and inform discrete-choice experiment (DCE) development for FSW in Lilongwe. Enrolled FSW received an interviewer-assisted DCE. Data were analyzed using mixed logit regression. Dispensing location was most preferred, followed by the provision of additional services. Women preferred receiving PrEP at family planning clinics or non-governmental organization run drop-in centers. Cervical cancer screening was the most preferred additional service, while pregnancy testing and partner risk reduction counseling were less valued. This study was the first study to examine PrEP delivery preferences in Malawi using DCE-a powerful elicitation tool to apply to other key populations at risk for HIV.

Information growth for sequential monitoring of clinical trials with a stepped wedge cluster randomized design and unknown intracluster correlation.

BACKGROUND/AIMS: In a stepped wedge study design, study clusters usually start with the baseline treatment and then cross over to the intervention at randomly determined times. Such designs are useful when the intervention must be delivered at the cluster level and are becoming increasingly common in practice. In these trials, if the outcome is death or serious morbidity, one may have an ethical imperative to monitor the trial and stop before maximum enrollment if the new therapy is proven to be beneficial. In addition, because formal monitoring allows for the stoppage of trials when a significant benefit for new therapy has been ruled out, their use can make a research program more efficient. However, use of the stepped wedge cluster randomized study design complicates the implementation of standard group sequential monitoring methods. Both the correlation of observations introduced by the clustered randomization and the timing of crossover from one treatment to the other impact the rate of information growth, an important component of an interim analysis. METHODS: We simulated cross-sectional stepped wedge study data in order to evaluate the impact of sequential monitoring on the Type I error and power when the true intracluster correlation is unknown. We studied the impact of varying intracluster correlations, treatment effects, methods of estimating the information growth, and boundary shapes. RESULTS: While misspecified information growth can impact both the Type I error and power of a study in some settings, we observed little inflation of the Type I error and only moderate reductions in power across a range of misspecified information growth patterns in our simulations. CONCLUSION: Taking the study design into account and using either an estimate of the intracluster correlation from the ongoing study or other data in the same clusters should allow for easy implementation of group sequential methods in future stepped wedge designs.