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Sleep disturbance is a major contributor to future health and occupational issues. Mobile health can provide interventions that address adverse health behaviors for individuals in a vulnerable health state in real-world settings (just-in-time adaptive intervention). This study aims to identify a subpopulation with vulnerable sleep state in daily life (study 1) and, immediately afterward, to test whether providing mobile health intervention improved habitual sleep behaviors and psychological wellness in real-world settings by conducting a microrandomized trial (study 2). Japanese workers (n=182) were instructed to collect data on their habitual sleep behaviors and momentary symptoms (including depressive mood, anxiety, and subjective sleep quality) using digital devices in a real-world setting. In study 1, we calculated intraindividual mean and variability of sleep hours, midpoint of sleep, and sleep efficiency to characterize their habitual sleep behaviors. In study 2, we designed and conducted a sleep just-in-time adaptive intervention, which delivered objective push-type sleep feedback messages to improve their sleep hours for a subset of participants in study 1 (n=81). The feedback messages were generated based on their sleep data measured on previous nights and were randomly sent to participants with a 50% chance for each day (microrandomization). In study 1, we applied hierarchical clustering to dichotomize the population into 2 clusters (group A and group B) and found that group B was characterized by unstable habitual sleep behaviors (large intraindividual variabilities). In addition, linear mixed-effect models showed that the interindividual variability of sleep hours was significantly associated with depressive mood (β=3.83; P=.004), anxiety (β=5.70; P=.03), and subjective sleep quality (β=-3.37; P=.03). In study 2, we found that providing sleep feedback prolonged subsequent sleep hours (increasing up to 40 min; P=.01), and this effect lasted for up to 7 days. Overall, the stability of sleep hours in study 2 was significantly improved among participants in group B compared with the participants in study 1 (P=.001). This is the first study to demonstrate that providing sleep feedback can benefit the modification of habitual sleep behaviors in a microrandomized trial. The findings of this study encourage the use of digitalized health intervention that uses real-time health monitoring and personalized feedback.

ObjectivesJapan is one of the largest markets for heated tobacco products (HTPs), and the number of HTP users, including dual users, is growing. However, it is not yet clear whether a telemedicine smoking cessation programme is effective for nicotine-dependent HTP users to quit smoking. We assessed the outcomes of a telemedicine smoking cessation programme in terms of continuous smoking cessation among smokers who had used HTPs compared with those who used exclusively cigarettes.DesignA retrospective cohort study to assess the outcomes of the telemedicine smoking cessation programme provided by Linkage, Japan, comparing the success rates of smoking cessation between exclusively cigarette group (as reference) and HTP user groups (exclusively HTPs or dual use of both cigarettes and HTPs).SettingLinkage telemedicine smoking cessation programme database, covering programme participants in Japan.ParticipantsProgramme participants from between August 2018 and October 2020.Outcome measuresContinuous abstinence rates (CARs) from 9 to 24 weeks (CAR9–24) and 9 to 52 weeks (CAR9–52). Adjusted ORs (aORs) with 95% CIs for CAR were calculated to compare the exclusively cigarette group with exclusively HTP and dual use groups.ResultsWe analysed 733 telemedicine smoking cessation programme participants. Exclusively HTP users had higher CARs than the exclusively cigarette group for CAR9–24 (aOR 1.12, 95% CI 1.02 to 1.23; p=0.02) and CAR9–52 (1.09, 0.99 to 1.19; p=0.08). Conversely, dual users had lower CARs than the exclusively cigarette group for CAR9–24 (0.85, 0.76 to 0.95; p=0.004) and CAR9–52 (0.88, 0.79 to 0.97; p=0.01).ConclusionsExclusive HTP users achieved higher CARs, whereas dual users had lower CARs than exclusively cigarette users over short-term and long-term periods. A telemedicine smoking cessation programme may be a reasonable option for exclusive HTP users.

The usefulness of depression scales for patients with cancer based on item response theory (IRT) and computer adaptive testing (CAT) has not yet been fully explored. This study thus aimed to develop an IRT-based tool for measuring depression in patients with cancer. We analyzed data from 393 patients with cancer from four tertiary centers in Japan who had not received psychiatric treatment. They answered 62 questions across five categories regarding their psychiatric status over the previous week. We selected 28 items that satisfied the assumptions of IRT, fitted a graded response model to these items, and performed CAT simulations. The CAT simulation used an average of 6.96 items and showed a Pearson’s correlation coefficient of 0.916 (95% confidence interval, 0.899–0.931) between the degree of depression estimated by simulation and that estimated using all 28 items. The measurement precision of CAT with only four items was superior to that of the estimation using the calibrated Patient Health Questionnaire-9. These results imply that this scale is useful and accurate for measuring depression in patients with cancer.

The field of mental health technology presently has significant gaps that need addressing, particularly in the domain of daily monitoring and personalized assessments. Current noninvasive devices such as wristbands and smartphones are capable of collecting a wide range of data, which has not yet been fully used for mental health monitoring. This study aims to introduce a novel dataset for personalized daily mental health monitoring and a new macro-micro framework. This framework is designed to use multimodal and multitask learning strategies for improved personalization and prediction of emotional states in individuals. Data were collected from 298 individuals using wristbands and smartphones, capturing physiological signals, speech data, and self-annotated emotional states. The proposed framework combines macro-level emotion transformer embeddings with micro-level personalization layers specific to each user. It also introduces a Dynamic Restrained Uncertainty Weighting method to effectively integrate various data types for a balanced representation of emotional states. Several fusion techniques, personalization strategies, and multitask learning approaches were explored. The proposed framework was evaluated using the concordance correlation coefficient, resulting in a score of 0.503. This result demonstrates the framework's efficacy in predicting emotional states. The study concludes that the proposed multimodal and multitask learning framework, which leverages transformer-based techniques and dynamic task weighting strategies, is superior for the personalized monitoring of mental health. The study indicates the potential of transforming daily mental health monitoring into a more personalized app, opening up new avenues for technology-based mental health interventions.

Purpose Autonomic dysfunction of the cardiovascular system in anorexia nervosa (AN) was reported not only in the rest position, but also in the standing position in some previous studies, which might contribute to cardiac complications such as lethal arrhythmia. However, there has not been sufficient literature in this issue. Therefore, we performed a head-up tilt test, and compared the changes after tilting in indices of autonomic function between AN patients and healthy subjects by heart rate variability (HRV) and blood pressure variability (BPV). Methods The subjects were 21 females with AN and 30 age-matched healthy women. A head-up tilt test was performed following the protocol recommended by the American Heart Association. Blood pressure and heart rate data were collected for 10 min before and after tilting. In the frequency analysis, the powers of low-frequency (LF) and high-frequency (HF) components were calculated by a fast Fourier transformation. Results Regarding interactions between groups and head-up tilting, the head-up tilting-induced reduction of the HF component of HRV was significantly greater in the AN group. In addition, increases in the LF/HF of HRV and the LF component of BPV after head-up tilting were significantly smaller in the AN group. Conclusions Regardless of the posture, changes in HF and LF/HF of HRV and LF of BPV in AN patients suggested the presence of autonomic insufficiency.

Objective In patients with stable hemodynamic status after an acute coronary syndrome (ACS), coronary artery bypass grafting (CABG) after preoperative investigations can provide outcomes comparable to those of emergency surgery. However, no established guidelines exist regarding the preparation period before surgery. We report the results of the use of an inpatient cardiac rehabilitation program followed by CABG after an ACS to improve post-operative outcomes and prognosis after discharge. Methods From 2005 to 2017, 471 patients underwent either isolated or combined CABG at our institution, and of those, the 393 who received isolated CABG were included in the analysis. Twenty-seven patients (6.9%) were admitted with ACS and underwent preoperative rehabilitation before undergoing CABG, with a subsequent review of surgical morbidity and mortality rates. Propensity score matching yielded a cohort of 26 patients who underwent preoperative rehabilitation (group A) and 26 controls (group B). Preoperative characteristics were similar between groups. Results The completion rate of the rehabilitation program was 96.3%. All programs were conducted with inpatients, with an average length of stay of 23 ± 12 days. All patients completed in-bed exercises, and 85% completed out-of-bed exercises. The 30-day postoperative mortality was 0% in both groups A and B, and the rate of postoperative major adverse cardiac or cerebrovascular events at 12 months did not differ significantly between groups (7.7% vs 3.9%, respectively; p  = 1.0). The duration of mechanical ventilation (1.3 ± 0.3 vs 1.5 ± 0.3 days, respectively; p  = 0.633), length of intensive care unit stay (4.4 ± 2.1 vs 4.8 ± 2.3 days, respectively; p  = 0.584) and length of hospital stay (25 ± 13 vs 22 ± 9 days, respectively; p  = 0.378) did not differ significantly between groups. Conclusions No complications of preoperative rehabilitation were observed, suggesting that it is an acceptable option for patients who experience ACS and undergo CABG. These results are promising in offering more robust designs of future trials.

The no-touch technique of saphenous vein involves harvesting the vein as a pedicled graft and avoidance of direct contact with the vein or excessive high-pressure expansion. This technique provides long-term graft patency as that of internal mammary artery; however, the wound complications could be greater than conventional skeletonized technique. To solve the problem of leg wound trouble and to harvest the vein simpler, we have developed a novel harvesting technique using a newly developed energy device, THUNDERBEAT. This technique has the ability of efficacious tissue dissection, safer sealing of branches, and less wound complications without thermal damage to the graft. This strategy was successfully used in 35 patients.

Mutations of the NT5E gene encoding the cluster of differentiation 73 (CD73) protein have been found in patients with characteristic calcification of joints and arteries (CALJA). CD73 plays a protective role against aortic valve calcification; therefore, its deletion results in aortic valve calcification. However, to date, there are no reports of a patient with CALJA with aortic stenosis. In this study, we describe 2 extremely rare cases of sisters with identical NT5E gene mutation patterns, both of whom developed late-onset severe aortic stenosis and limb ischaemia. Both patients underwent aortic valve replacement and bilateral distal arterial bypass surgeries successfully. They were genetically diagnosed with CALJA based on the NT5E mutation. Our report suggests that NT5E mutations should be considered in patients requiring aortic valve replacement for a calcified aortic valve and bypass surgery for specific calcified and occluded arteries.

A 32-year-old man diagnosed with Kawasaki disease at the age of three years presented with coronary artery aneurysm (CAA). The aneurysm increased in size, and the patient was referred to our hospital for surgery. Preoperative computed tomography scan showed a super-giant right CAA and giant left CAAs; surgery was performed. The super-giant right CAA was resected, and the ostium of the right coronary artery was closed; then, coronary artery bypass grafting was performed. The left CAAs were not treated surgically because the risk of rupture was low. Here, we describe the successful surgical treatment of a right super-giant CAA.