Publications by authors named "Masamichi Ishii"

Schwannomatosis (SWN) is a rare genetic condition characterized by the risk of developing multiple benign peripheral nerve sheath tumors; however, the risk of developing malignant tumors in patients with SWN remains unclear. This study described the case of a 57-year-old Japanese man diagnosed with SWN whose older brother also had SWN. Whole-exome sequencing identified a heterozygous mutation [c.

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  • - Post-stroke epilepsy can emerge after a type of brain hemorrhage (aSAH), with both early and late seizures potentially leading to serious cognitive issues if not treated quickly.
  • - A study of 297 aSAH patients found that early seizures are linked to older age and severe infections, while late seizures relate to the size of brain lesions and shunt placements.
  • - Electroencephalograms (EEGs) were useful for detecting early seizures and showed that patients with brain lesions need close monitoring for late seizure risks post-surgery.
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In multicenter clinical research, case-reported clinical data are managed for each research project. Participating institutions manage the mapping between standardized codes and in-house codes. To use the data extracted from electronic medical records in case report forms, it is necessary to pay attention to the gap in the semantic hierarchy.

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Antipyretic analgesics are used to manage and control symptoms occurring after vaccination, but may hamper immunogenicity or vaccine efficacy. We examined the association between prophylactic or therapeutic use of antipyretic analgesics and SARS-CoV-2 antibody titers for vaccine recipients. Data were obtained from 1,498 staff members of a medical and research institution in Tokyo, Japan, who had received the second dose of the BNT162b2 vaccine.

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Objective: This study aimed to investigate the cross-sectional association between the presence of chronic physical conditions and depressive symptoms among hospital workers at a national medical institution designated for COVID-19 treatment in Tokyo, Japan. We also accounted for the combined association of chronic physical conditions and SARS-CoV-2 infection risk at work in relation to depressive symptoms, given that occupational infection risk might put additional psychological burden among those with chronic physical conditions with risk of severe COVID-19 outcome.

Methods: The study sample consisted of 2,440 staff members who participated in a health survey conducted at the national medical institution during period between October 2020 and December 2020.

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Aim: While accumulating evidence suggests a protective role of healthy diet against depression, evidence on this issue is limited among healthcare workers combating COVID-19 pandemic. The aim of this study was to determine the cross-sectional association between frequency of balanced meal consumption and depressive symptoms among Japanese hospital workers during the COVID-19 pandemic.

Methods: Participants were 2,457 workers of the National Center for Global Health and Medicine who responded to a questionnaire survey in October or December 2020.

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The objective of this study was to investigate the association between adherence to healthy lifestyles (as measured by the healthy lifestyle index [HLI]) and depressive symptoms among staff members at a large national medical institution in Tokyo, Japan, during the coronavirus disease 2019 (COVID-19) pandemic. The study sample consisted of 1228 staff members aged between 21 and 73 years who participated in a cross-sectional survey conducted in July 2020. We constructed the HLI by assigning one point to each healthy lifestyle factor: normal body mass index, sufficient physical activity, non-smoking status, non-to-moderate alcohol consumption, and sufficient sleep duration.

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Objectives: To examine whether engagement in COVID-19-related work was associated with an increased prevalence of depressive symptoms among the staff members working in a designated medical institution for COVID-19 in Tokyo, Japan.

Design: A cross-sectional study.

Setting: Data were obtained from a health survey conducted in July 2020 among the staff members of a designated medical institution for COVID-19 in Tokyo, Japan.

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Article Synopsis
  • A Bayesian network method was applied to the J-DREAMS clinical registry database, which focuses on diabetes management in Japan.
  • A reference model was developed to summarize the patients' conditions and provide an overall view of the data.
  • This visualization approach is designed to assist researchers in efficiently screening the registry database.
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