Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study.

BACKGROUND: Human health status can be measured on the basis of many different parameters. Statistical relationships among these different health parameters will enable several possible health care applications and an approximation of the current health status of individuals, which will allow for more personalized and preventive health care by informing the potential risks and developing personalized interventions. Furthermore, a better understanding of the modifiable risk factors related to lifestyle, diet, and physical activity will facilitate the design of optimal treatment approaches for individuals. OBJECTIVE: This study aims to provide a high-dimensional, cross-sectional data set of comprehensive health care information to construct a combined statistical model as a single joint probability distribution and enable further studies on individual relationships among the multidimensional data obtained. METHODS: In this cross-sectional observational study, data were collected from a population of 1000 adult men and women (aged ≥20 years) matching the age ratio of the typical adult Japanese population. Data include biochemical and metabolic profiles from blood, urine, saliva, and oral glucose tolerance tests; bacterial profiles from feces, facial skin, scalp skin, and saliva; messenger RNA, proteome, and metabolite analyses of facial and scalp skin surface lipids; lifestyle surveys and questionnaires; physical, motor, cognitive, and vascular function analyses; alopecia analysis; and comprehensive analyses of body odor components. Statistical analyses will be performed in 2 modes: one to train a joint probability distribution by combining a commercially available health care data set containing large amounts of relatively low-dimensional data with the cross-sectional data set described in this paper and another to individually investigate the relationships among the variables obtained in this study. RESULTS: Recruitment for this study started in October 2021 and ended in February 2022, with a total of 997 participants enrolled. The collected data will be used to build a joint probability distribution called a Virtual Human Generative Model. Both the model and the collected data are expected to provide information on the relationships between various health statuses. CONCLUSIONS: As different degrees of health status correlations are expected to differentially affect individual health status, this study will contribute to the development of empirically justified interventions based on the population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47024.

A risk factor analysis of accumulated postoperative pain and swelling sensation after dental implant surgery using a cellular phone-based real-time assessment.

PURPOSE: The purpose of this study was to identify the related risk factors of dental implant accumulated postoperative pain and swelling by cellular phone-based assessment. METHODS: Subjects were a consecutive series of patients who received oral implant surgery at Okayama University Hospital. Cellular phone-based questionnaire was sent at pre-set schedule to each subject every 2h on the day of surgery, and every 24h from the 2nd to 7th day post-surgery. Subjects replied in real-time the pain and swelling levels at the operated sites by an 11- and 4-grade rating-scale questionnaire. Overall intensity of individual pain and swelling was calculated by means of area under curve that drew by their time-dependent changes. Predictor variables were age, gender, presence of diabetes mellitus and/or hypertension (DM/HT), history of implant surgery, number of inserted implants, flap operation, surgical duration, pre-surgery anxiety, osteoplasty, bone quality, premedication, dosage of prescribed analgesics and local anesthesia and accumulated postoperative pain/swelling. Compliance rate and risk factors correlated with accumulated postoperative pain and swelling were calculated by multiple regression analysis. RESULTS: Final subjects were 18 females and 7 male (mean age: 59.3±7.32 yrs). Significant factors correlated with accumulated postoperative pain were DM/HT, surgical duration, premedication, bone quality, pre-surgery anxiety and postoperative swelling (R(2)=0.769, p=0.001, 0.013, 0.032, 0.007, 0.035 and 0.007, respectively). Meanwhile, significant factors associated with postoperative swelling were postoperative pain, DM/HT and bone quality (R(2)=0.365, p=0.002, 0.004, 0.008, respectively). CONCLUSION: These results suggested DM/HT and bone quality are correlated to overall intensity of postoperative pain and swelling.

[A case of age-related Epstein-Barr virus-associated B-cell lymphoproliferative disorder which presented with encephalitis-like images].

A 65-year-old man presented with complaints of general malaise and severe disturbance of consciousness since 2 months prior to admission. MRI of the head showed high intensity area in FLAIR image in the left basel ganglia, the medial side of the left temporal lobe and both sides of the frontal lobe and brainstem. The contrasting effect was insignificant. Laboratory investigations showed positive results of EBV antibody titer and elevated EBV-DNA in the spinal fluid. We suspected encephalitis due to Epstein-Barr virus and the patient was treated with acyclovir and high dosage of steroids. However, the patient's consciousness gradually deteriorated and he died on day 146 of admission. Autopsy revealed proliferation of large atypical cells with clear and irregular nuclei in the brain tissue. Immunohistochemistry expressed positive EBER-ISH. This case was finally diagnosed as the central nervous system involvement by age-related Epstein-Barr virus-associated B-cell lymphoproliferative disorder.