GRU-powered sleep stage classification with permutation-based EEG channel selection.

We present a new approach to classifying the sleep stage that incorporates a computationally inexpensive method based on permutations for channel selection and takes advantage of deep learning power, specifically the gated recurrent unit (GRU) model, along with other deep learning methods. By systematically permuting the electroencephalographic (EEG) channels, different combinations of EEG channels are evaluated to identify the most informative subset for the classification of the 5-class sleep stage. For analysis, we used an EEG dataset that was collected at the International Institute for Integrative Sleep Medicine (WPI-IIIS) at the University of Tsukuba in Japan. The results of these explorations provide many new insights such as the (1) drastic decrease in performance when channels are fewer than 3, (2) 3-random channels selected by permutation provide the same or better prediction than the 3 channels recommended by the American Academy of Sleep Medicine (AASM), (3) N1 class suffers the most in prediction accuracy as the channels drop from 128 to 3 random or 3 AASM, and (4) no single channel provides acceptable levels of accuracy in the prediction of 5 classes. The results obtained show the GRU's ability to retain essential temporal information from EEG data, which allows capturing the underlying patterns associated with each sleep stage effectively. Using permutation-based channel selection, we enhance or at least maintain as high model efficiency as when using high-density EEG, incorporating only the most informative EEG channels.

The effect of exercise and educational programs for breast cancer patients on the development of breast cancer-related lymphoedema: secondary endpoint from a randomized controlled trial in the Setouchi Breast Project-10.

BACKGROUND: Although the association between higher physical activity and preventive effect on breast-cancer-related lymphoedema (BCRL) has been reported, it is unclear what intervention is optimal. We aimed to investigate the effect of exercise and educational programs on BCRL development. METHODS: This study was a secondary endpoint analysis from a prospective randomized controlled trial. We enrolled patients with stage 0-III breast cancer from March 2016 to March 2020 and randomly assigned them to the control (n = 111), education (n = 115), or exercise (n = 104) group. As secondary endpoint, we assessed the incidence of and preventive effect on BCRL at 12 months post-intervention. RESULTS: There were no significant differences in the incidence of BCRL at 12 months post-intervention between the exercise and control groups (9.8% and 10.8%, P = 0.83) and the education and control groups (11.6% and 10.8%, P = 1.00). There were no significant differences in time to BCRL onset from the day of surgery between the exercise and control groups (event rate at 12 months: 20.7% and 17.2%, log-rank, P = 0.54) and the education and control groups (18.8% and 17.2%, log-rank, P = 0.57). The multivariable analyses indicated that axillary dissection and obesity significantly increased the risk of BCRL [hazard ratio (HR): 2.36, 95% confidence interval (CI) 1.52-3.67 and HR: 1.68, 95% CI 1.07-2.63, respectively]. CONCLUSIONS: The intervention did not decrease the risk of BCRL, and axillary dissection and obesity were the risk factors of BCRL. TRIAL REGISTRATION NUMBER: UMIN000020595 at UMIN Clinical Trial Registry.

Factors contributing to the improvement in J-HAQ after 3 years of treatment with abatacept in biologic-naïve rheumatoid arthritis patients: Interim results of a long-term, observational, multicentre study in Japan (ORIGAMI).

OBJECTIVES: We investigated the long-term effectiveness, safety, and factors affecting Japanese Health Assessment Questionnaire (J-HAQ) improvement during abatacept treatment in Japanese rheumatoid arthritis (RA) patients. METHODS: The ORIGAMI study is an ongoing observational study of biologic-naïve RA patients with moderate disease activity treated with subcutaneous abatacept (125 mg, once-weekly). Patients treated with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) were extracted from the Institute of Rheumatology, Rheumatoid Arthritis (IORRA) registry as an historical, weighted control group. The primary endpoint for this interim analysis was the proportion of patients with J-HAQ remission (score ≤0.5) at 3 years. RESULTS: Among 279 abatacept-treated and 220 csDMARD-treated patients, J-HAQ remission was achieved at 3 years in 40.5% (95% confidence interval [CI] 34.7%-46.2%) and 28.9% (95% CI 9.9%-47.8%), respectively. Age, RA duration <1 year, baseline J-HAQ score, and Simplified Disease Activity Index remission at 6 months were associated with 3-year J-HAQ remission in the abatacept group. Overall, 24/298 patients (8.1%; safety analysis set) experienced serious adverse drug reactions with an incidence of 5.3 per 100 person-years. CONCLUSIONS: This study confirmed the 3-year effectiveness and safety, and revealed potential factors associated with J-HAQ remission in biologic-naïve RA patients treated with abatacept in real-world clinical practice.

Japanese 17q12 Deletion Syndrome with Complex Clinical Manifestations.

17q12 deletion syndrome is a rare chromosomal anomaly with variable phenotypes, caused by the heterozygous deletion of chromosome 17q12. We herein report a 35-year-old Japanese patient with chromosomal 17q12 deletion syndrome identified by de novo deletion of the 1.46 Mb segment at the 17q12 band by genetic analyses. He exhibited a wide range of phenotypes, such as maturity-onset diabetes of the young (MODY) type 5, structural or functional abnormalities of the kidney, liver, and pancreas; facial dysmorphic features, electrolyte disorders; keratoconus, and acquired perforating dermatosis. This case report provides valuable resources concerning the clinical spectrum of rare 17q12 deletion syndrome.

Ectopic Breast Cancer Arising within an Axillary Lymph Node.

We report our experience with the diagnosis and treatment of an ectopic breast cancer arising within an axillary lymph node. The patient was a 65-year-old woman diagnosed breast cancer and axillary lymph node metastasis. We performed a partial mastectomy and axillary lymph node dissection. Postoperative pathology revealed no malignant lesions in the breast; however, a nodule in one of axillary lymph nodes had mixed benign and malignant components, leading to a diagnosis of invasive ductal carcinoma derived from ectopic mammary tissue. This case represents a very rare form of breast cancer, and the malignancy was difficult to distinguish from metastasis.

Late Recurrence of Ovarian Cancer after 18 Years of Disease-Free Survival: A Case Report and Review of the Literature.

We present a case of recurrent ovarian cancer at the age of 75, gravida 1 para 0, with 18 years of disease-free survival. Chemotherapy brought a 10-month partial response status; to further improve the overall survival, the patient was evaluated using the AGO score (DESKTOP III trial, 2020), which was originally intended for cases immediately after the diagnosis of recurrence; the score has indicated a significant outcome; the patient went through a hepatosplenic metastatic site resection; and complete resection was achieved. Subsequently, the PARP inhibitor was introduced, which has led to 14 months of disease-free survival. Fifteen cases of late recurrence of epithelial ovarian cancer have been reported and are summarized at the end of this paper.

Feedbacks Using behaviOral econOmic theories on STEP countS in Cardiovascular Disease Patients (FOOTSTEPS) Using Novel Daily Step Counts Retrieving System.

The effectiveness of gamification-based feedback systems that utilize non-monetary points to promote exercise among cardiovascular disease (CVD) patients has not been fully evaluated. This study aimed to evaluate the effectiveness of a gamification program using non-monetary points on the daily step counts in CVD patients. We collected 30 patients with a history of heart failure or myocardial infarction at a single tertiary center between January 9, 2023, and April 13, 2023. The primary outcome was the change in daily step counts. The baseline step counts were compared with those during the 4-week gamification and the 1-week follow-up period. A total of 29 participants with a mean age of 64.6 years were finally enrolled, and 8 (27.6%) were female. Among them, 23 (79.3%) had a history of old myocardial infarction, and 9 (31.0%) had a history of chronic heart failure. During the intervention period, the average daily step counts increased significantly from baseline in weeks 1-5 (week 1: 1165 steps; 95% CI, 319-2011; P = 0.009, week 2: 1508; 635-2382; P = 0.001, week 3: 1321; 646-1996; P < 0.001, week 4: 1436; 791-2081; P < 0.001, week 5:1148; 436-1860; P < 0.001). Higher body mass index was statistically associated with the smaller difference in step counts from the baseline, and the lower proportion of achievement of step count goals. Female sex was significantly associated with the higher proportion of achievement of step count goals. In conclusion, this pilot prospective interventional study demonstrated the effectiveness of gamification-based feedback systems that utilize non-monetary points to increase daily step counts in CVD patients.