1.Impact of Autopsy Imaging (Ai) on Bereaved Families of Patients with Terminal Cancer
Masahiro KAWAHIRA ; Emika KUROKI ; Mayumi NOZAKI ; Jurio SHIMADA ; Satoshi MIYAKE
Palliative Care Research 2025;20(4):203-208
This study investigated the psychological impact of autopsy imaging (Ai) on bereaved families of patients with terminal cancer. These patients, one with pancreatic cancer of the body and tail and the other with intrahepatic cholangiocarcinoma, underwent Ai, and a mixed-methods survey was conducted with 7 bereaved family members using a self-administered questionnaire. Although the awareness of Ai was low (14.3%), all participants reported that Ai helped them understand the cause of death. Moreover, 71.4% felt that Ai was necessary. Qualitative analysis of free-text responses suggested that Ai contributed to a clearer understanding and acceptance of the cause of death and provided psychological reassurance. On the other hand, it became evident that the implementation of Ai could evoke emotional conflict and complex feelings in bereaved families. Therefore, confirming the patient’s wishes and providing psychological support to both the patient and their family are essential when conducting Ai. In the future, it will be essential for medical professionals to carefully explain the purpose and significance of Ai during advance care planning discussions, and to consider its implementation while respecting the wishes of both the patient and their family.
2.Predicting Life Outcomes of Older Adults Dying in Nursing Home Facilities from BMI, Dietary and Fluid Intake Trajectories: A Longitudinal Retrospective Study of Elderly People Who Died and Survived in Special Care Nursing Facilities
Yoshiaki KAWAKAMI ; Kenichiro IGUCHI ; Mayumi OEDA ; Koji UENO ; Kaoru INOUE ; Koshi NOZAKI ; Jun HAMANO
Palliative Care Research 2024;19(3):219-229
Objective:We compared changes in BMI as well as nutritional and fluid intake in older adult patients who died and survived while in special nursing care facilities, and examined whether trajectories in the death group were effective in predicting prognosis. Methods:We retrospectively extracted data from BMI, nutritional and fluid intake for all older adults admitted to a special nursing care facility between April 2007 and the end of July 2022, searching for changes in the monthly mean values. Results:Data were obtained for 646 patients in the death group and 498 in the survival group. In the death group, BMI, nutrition and fluid intake decreased significantly from 12 months before death compared with the survival group. In the death group, nutrient intake per kilogram of body weight decreased significantly and irreversibly as of 6 months before death, and fluid intake decreased significantly and irreversibly starting 3 months before death compared with the previous month. Discussion:The trajectories of BMI, nutrition and fluid intake decreased simultaneously from 12 months before death, and the significant irreversible decrease in fluid intake followed by nutritional intake per kilogram body weight was effective in predicting the prognosis of elderly patients dying in special care facilities.


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