Tomomi Narisawa

Cognitive processing therapy (CPT) is one of the most widely tested evidence-based treatments for posttraumatic stress disorder (PTSD). However, most studies on CPT have been conducted in Western cultural settings. This open-label, single-arm trial investigated the feasibility, acceptability, and preliminary efficacy of CPT for treating Japanese patients with PTSD. A total of 25 outpatients underwent 12 CPT sessions. The primary outcome was the assessment of PTSD symptoms using the Clinician-Administered PTSD Scale for DSM-IV (CAPS-IV); secondary outcomes included the assessment of subjective PTSD severity, depressive and anxiety symptoms, trauma-related cognitions, and subjective quality of life. All outcomes were evaluated at pretreatment (i.e., baseline), posttreatment, and 6- and 12-month follow-ups. On average, participants attended 13 sessions of CPT (SD = 1.38), with a completion rate of 96.0%. One serious adverse event (hospitalization) occurred. Significant within-subjects standardized mean differences in CAPS-IV scores were found from baseline to treatment completion, g = -2.28, 95% CI [-3.00, -1.56]; 6-month follow-up, g = -2.95, 95% CI [-3.79, -2.12]; and 12-month follow-up, g = -2.15, 95% CI [-2.89, -1.41]. Moderate-to-large effects, gs = -0.77 to -2.45, were found on secondary outcomes. These findings support the feasibility, acceptability, and preliminary efficacy of CPT in a Japanese clinical setting.

OBJECTIVE: Insomnia is an increasingly recognized major symptom of breast cancer which can seriously disrupt the quality of life during and many years after treatment. Sleep problems have also been linked with survival in women with breast cancer. The aims of this study were to estimate the prevalence of insomnia in breast cancers survivors, clarify the clinical characteristics of their sleep difficulties and use machine learning techniques to explore clinical insights. METHODS: Our analysis of data, obtained in a nationwide questionnaire survey of breast cancer survivors in Japan, revealed a prevalence of suspected insomnia of 37.5%. With the clinical data obtained, we then used machine learning algorithms to develop a classifier that predicts comorbid insomnia. The performance of the prediction model was evaluated using 8-fold cross-validation. RESULTS: When using optimal hyperparameters, the L2 penalized logistic regression model and the XGBoost model provided predictive accuracy of 71.5 and 70.6% for the presence of suspected insomnia, with areas under the curve of 0.76 and 0.75, respectively. Population segments with high risk of insomnia were also extracted using the RuleFit algorithm. We found that cancer-related fatigue is a predictor of insomnia in breast cancer survivors. CONCLUSIONS: The high prevalence of sleep problems and its link with mortality warrants routine screening. Our novel predictive model using a machine learning approach offers clinically important insights for the early detection of comorbid insomnia and intervention in breast cancer survivors.

BACKGROUND: A strategy for maintaining and/or improving cardiorespiratory fitness (CRF) in the growing population of cancer survivors is of major clinical importance, especially in the COVID-19 era. The effect of unsupervised high-intensity interval training (HIIT) on increasing CRF in breast cancer survivors is unknown. PURPOSE: The purpose of this study was to determine whether the newly developed habit-B programme, which involves home-based smartphone-supported HIIT using body weight exercises, improves CRF in early-stage breast cancer survivors. METHODS: This single-centre, 12-week, parallel-group, single-blind, randomised controlled trial involved 50 women with stage I-IIa breast cancer, aged 20-59 years, who had completed initial treatment except for hormone therapy. Participants were randomised to either the exercise or control group. The primary outcome was the 12-week change in peak oxygen uptake [Formula: see text]. Other outcomes included muscle strength, 6 min walk test, resting heart rate, physical activity, fatigue, safety and quality of life. RESULTS: The change in [Formula: see text] and leg strength increased significantly in the exercise group compared with the control group (p<0.01). Changes in other outcomes were not significantly different between the groups. CONCLUSION: A home-based HIIT intervention can lead to improve CRF and muscle strength in early-stage breast cancer survivors.

Background: Posttraumatic stress disorder (PTSD) symptoms are known to occur after acute coronary syndrome (ACS). Peritraumatic distress has been indicated as a risk factor for PTSD and can be measured by the Peritraumatic Distress Inventory (PDI). However, no studies have yet measured peritraumatic distress after ACS using the PDI to predict PTSD. Objectives: This prospective cohort study examined the impact of peritraumatic distress on PTSD symptoms at 6 months after ACS. Methods: We used the PDI to assess peritraumatic distress in patients treated for ACS at a teaching hospital in Tokyo within 7 days after percutaneous coronary intervention. They were followed up over the next 6 months and were assessed for PTSD symptoms at 6 months using the Impact of Event Scale-Revised. The association between peritraumatic distress and PTSD symptoms was examined by multiple linear regression analysis. Results: The study enrolled 101 ACS patients, and 97 completed the follow-up assessment. PDI total score was an independent predictor of PTSD symptoms after adjustment for potential covariates (beta = 0.38; p < 0.01). Limitations: The results were obtained from a single teaching hospital and assessment of PTSD symptoms was questionnaire based. Conclusion: We provide the first evidence that PDI score can predict the development of PTSD symptoms in ACS patients. Assessing peritraumatic distress after ACS with the PDI may be useful for initiating early intervention against PTSD symptoms.

INTRODUCTION: A major concern is that few cancer survivors meet the guidelines for recommended levels of physical activity. No studies have investigated physical activity among breast cancer survivors nationwide in Japan. Therefore, the aims of this study are to identify the levels of physical activity among breast cancer survivors, to examine factors-related physical activity among breast cancer survivors and to identify breast cancer survivors' preferences for and interest in exercise programmes in order to inform the future programme development. METHODS AND ANALYSIS: We will administer a cross-sectional survey using a self-report questionnaire to breast cancer survivors. At each of 50 facilities selected to include a variety of institutional backgrounds according to the population distribution of different regions throughout Japan, we will consecutively distribute the questionnaire to 30 outpatients who have completed initial treatments, except for hormone therapy. The target sample size is 1500 survivors. We will calculate descriptive statistics for each measurement item and perform univariate and multivariate analyses using outcome measures (eg, physical activity and quality of life) related to physical, psychological, social and environmental factors. DISCUSSION: This is the first nationwide survey of physical activity levels among breast cancer survivors in Japan. Identifying the factors associated with physical activity will help us to develop, disseminate and implement programmes that encourage more survivors to adhere to physical activity guidelines. ETHICS AND DISSEMINATION: The protocol was approved by the Institutional Review Board (IRB) of the National Cancer Center on 11 January 2019 (ID: 2018-295). In addition, many of the participating facilities required ethical approval from their local IRBs, while others did not. Accordingly, approval from the local IRBs of individual facilities was obtained when required. The findings will be disseminated through peer-reviewed publications and conference presentations.