Development of a short form of the Japanese version of the Caregiver Reaction Assessment (CRA-J-10) among informal caregivers of older adults.

AIM: To support informal caregivers, a simple assessment tool capturing the multidimensional nature of caregiving experiences, including negative and positive aspects, is required. We developed a short form of the Japanese version of the Caregiver Reaction Assessment (CRA-J), a multidimensional assessment scale for caregiver experiences. METHODS: The internet survey involved 934 Japanese informal caregivers aged 20-79 years (mean age = 58.8 years; 50.2% women) who completed questionnaires, including the CRA-J 18 items (CRA-J-18), consisting of five domains, such as impacts on schedule and finances and positive experiences of caregiving. A 10-item short version of the CRA-J (CRA-J-10; 0-50 points), which was prepared by selecting the two items with the highest factor loadings from each domain, was tested for model fit by confirmatory factor analysis (CFA) and was analyzed for correlations with the CRA-J-18, Zarit Burden Interview (ZBI), Positive Aspects of Caregiving Scale (PACS), Patient Health Questionnaire-9 (PHQ-9), and WHO-Five Well-Being Index (WHO-5). The area under the curve (AUC) in the receiver operating characteristic was evaluated as discriminability for depressive symptoms (PHQ-9 ≥ 10 points). RESULTS: The CFA indicated a good model fit in the CRA-J-10. The CRA-J-10 correlated well with the CRA-J-18 and other variables (CRA-J-18, r = 0.970; ZBI, r = 0.747; PACS, r = -0.467; PHQ-9, r = 0.582; WHO-5, r = -0.588) and showed good discriminant performance for the presence of depressive symptoms (AUC = 0.793, 95% confidence interval = 0.762-0.823). CONCLUSIONS: The CRA-J-10 allows a simple assessment of caregiver experiences, helping support informal caregivers. Geriatr Gerontol Int 2024; 24: 290-296.

Polypharmacy, Potentially Inappropriate Medications, and Dysphagia in Older Inpatients: A Multi-Center Cohort Study.

BACKGROUND: Although the relationship between medication status, symptomatology, and outcomes has been evaluated, data on the prevalence of polypharmacy and potentially inappropriate medications (PIMs) and the association of polypharmacy and PIMs with swallowing function during follow-up are limited among hospitalized patients aged ≥65 years with dysphagia. METHODS: In this 19-center cohort study, we registered 467 inpatients aged ≥65 years and evaluated those with the Food Intake LEVEL Scale (FILS) scores ≤8 between November 2019 and March 2021. Polypharmacy was defined as prescribing ≥5 medications and PIMs were identified based on the 2023 Updated Beers Criteria. We applied a generalized linear regression model to examine the association of polypharmacy and PIMs with FILS score at discharge. RESULTS: We analyzed 399 participants (median age, 83.0 years; males, 49.8%). The median follow-up was 51.0 days (interquartile range, 22.0-84.0 days). Polypharmacy and PIMs were present in 67.7% of and 56.1% of patients, respectively. After adjusting for covariates, neither polypharmacy (ß = 0.05; 95% confidence interval [CI], -0.04-0.13, p=0.30) nor non-steroidal anti-inflammatory medications (ß = 0.09; 95% CI, -0.02-0.19; p=0.10) were significantly associated with FILS score at discharge. CONCLUSION: The results of this study indicated a high proportion of polypharmacy and PIMs among inpatients aged ≥65 years with dysphagia. Although these prescribed conditions were not significantly associated with swallowing function at discharge, our findings suggest the importance of regularly reviewing medications to ensure the appropriateness of prescriptions when managing older inpatients.

Aggressive End-of-Life Treatments Among Inpatients With Cancer and Non-cancer Diseases Using a Japanese National Claims Database.

To describe aggressive treatments at end-of-life among inpatients with cancer and non-cancer diseases and to evaluate factors associated with these treatments using the Japanese national database (NDB). We conducted a retrospective cohort study among inpatients aged ≥ 20 years who died between 2012 and 2015 using a sampling dataset of NDB. The outcome was the proportion of aggressive treatments in the last 14 days of life. We considered the underlying causes of death as cancer, dementia/senility, and heart, cerebrovascular, renal, liver, respiratory, and neurodegenerative diseases. We analyzed 54,105 inpatients, with underlying cause of death distributed as follows: cancer, 24.9%; heart disease, 16.5%; respiratory disease, 12.3%; and cerebrovascular disease, 9.7%. The proportion of intensive care unit (ICU) admission was 9.7%, being the highest in heart disease (20.5%), followed by cerebrovascular diseases (12.6%), and least in dementia/senility (.6%). The proportion of cardiopulmonary resuscitation was 19.6%, being the highest in heart disease (38.1%), followed by renal diseases (19.5%), and least in cancer (6.2%). Multivariate logistic regression analysis revealed that having heart diseases, cerebrovascular diseases, younger age, less comorbidities, and shorter length of stay were associated with an increasing risk of aggressive treatments in the last 14 days of life. The proportion of aggressive treatments at the end-of-life varies depending on the disease; additionally, these treatments were associated with having heart diseases, younger age, less comorbidity, and shorter length of stay. Our findings may help develop and set benchmarks for quality indicators at the end-of-life for patients with non-cancer diseases.

Regional Disparities in Transvenous Lead Extraction for Cardiac Implantable Electronic Device Infection in Japan　- A Descriptive Study Using the National Database Open Data.

BACKGROUND: Because the penetration of transvenous lead extraction (TLE) for cardiac implantable electronic device (CIED) infection has not been investigated in Japan, we conducted a population-based, retrospective, descriptive study to evaluate regional disparities in the use of TLE for CIED infection and the potential undertreatment of CIED infection using a nationwide insurance claims database.Methods and Results: Patients who underwent CIED implantation or generator exchange and TLE between April 2018 and March 2020 were identified. Moreover, the penetration ratio of TLE for CIED infection in each prefecture was estimated. CIED implantation and TLE were most prevalent in the age categories of 80-89 years (40.3%) and 80-89 years (36.9%), respectively. There was no correlation between the number of CIED implantations and that of TLE (rho=-0.087, 95% confidence interval -0.374 to 0.211, P=0.56). The median penetration ratio was 0.00 (interquartile range 0.00-1.29). Of the 47 prefectures, 6, comprising Okinawa, Miyagi, Okayama, Fukuoka, Tokyo, and Osaka, showed a penetration ratio ≥2.00. CONCLUSIONS: Our study data indicated great regional disparities in the penetration of TLE and potential undertreatment of CIED infection in Japan. Additional measures are needed to address these issues.

Validation study on definition of cause of death in Japanese claims data.

Identifying the cause of death is important for the study of end-of-life patients using claims data in Japan. However, the validity of how cause of death is identified using claims data remains unknown. Therefore, this study aimed to verify the validity of the method used to identify the cause of death based on Japanese claims data. Our study population included patients who died at two institutions between January 1, 2018 and December 31, 2019. Claims data consisted of medical data and Diagnosis Procedure Combination (DPC) data, and five definitions developed from disease classification in each dataset were compared with death certificates. Nine causes of death, including cancer, were included in the study. The definition with the highest positive predictive values (PPVs) and sensitivities in this study was the combination of "main disease" in both medical and DPC data. For cancer, these definitions had PPVs and sensitivities of > 90%. For heart disease, these definitions had PPVs of > 50% and sensitivities of > 70%. For cerebrovascular disease, these definitions had PPVs of > 80% and sensitivities of> 70%. For other causes of death, PPVs and sensitivities were < 50% for most definitions. Based on these results, we recommend definitions with a combination of "main disease" in both medical and DPC data for cancer and cerebrovascular disease. However, a clear argument cannot be made for other causes of death because of the small sample size. Therefore, the results of this study can be used with confidence for cancer and cerebrovascular disease but should be used with caution for other causes of death.

Sensitivity and Specificity of Body Mass Index for Sarcopenic Dysphagia Diagnosis among Patients with Dysphagia: A Multi-Center Cross-Sectional Study.

The accuracy of body mass index (BMI) for sarcopenic dysphagia diagnosis, which remains unknown, was evaluated in this study among patients with dysphagia. We conducted a 19-site cross-sectional study. We registered 467 dysphagic patients aged ≥ 20 years. Sarcopenic dysphagia was assessed using a reliable and validated diagnostic algorithm. BMI was assessed using the area under the curve (AUC) in the receiver operating characteristic analysis to determine diagnostic accuracy for sarcopenic dysphagia. The study included 460 patients (median age, 83.0 years (76.0−88.0); men, 49.8%). The median BMI was 19.9 (17.3−22.6) kg/m2. Two hundred eighty-four (61.7%) patients had sarcopenic dysphagia. The AUC for sarcopenic dysphagia was 0.60−0.62 in the overall patients, male, female, and patients aged ≥ 65 years The BMI cut-off value for sarcopenic dysphagia diagnosis was 20.1 kg/m2 in the overall patients (sensitivity, 58.1%; specificity, 60.2%) and patients aged ≥ 65 years (sensitivity, 59.8%; specificity, 61.8%). Conclusion: Although the AUC, sensitivity and specificity of BMI for sarcopenic dysphagia diagnosis was approximately 0.6, BMI < 20.0 kg/m2 might be a predictor for sarcopenic dysphagia. In clinical settings, if patients with dysphagia have a BMI < 20.0 kg/m2, then sarcopenic dysphagia should be suspected as early as possible after admission.