1
|
Hirata R, Katsuki NE, Shimada H, Nakatani E, Shikino K, Saito C, Amari K, Oda Y, Tokushima M, Tago M. The Administration of Lemborexant at Admission is Not Associated with Inpatient Falls: A Multicenter Retrospective Observational Study. Int J Gen Med 2024; 17:1139-1144. [PMID: 38559594 PMCID: PMC10979668 DOI: 10.2147/ijgm.s452278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/11/2024] [Indexed: 04/04/2024] Open
Abstract
Purpose There has been no large-scale investigation into the association between the use of lemborexant, suvorexant, and ramelteon and falls in a large population. This study, serving as a pilot investigation, was aimed at examining the relationship between inpatient falls and various prescribed hypnotic medications at admission. Patients and Methods This study was a sub-analysis of a multicenter retrospective observational study conducted over a period of 3 years. The target population comprised patients aged 20 years or above admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals. We extracted data on the types of hypnotic medications prescribed at admission, including lemborexant, suvorexant, ramelteon, benzodiazepines, Z-drugs, and other hypnotics; the occurrence of inpatient falls during the hospital stay; and patients' background information. To determine the outcome of inpatient falls, items with low collinearity were selected and included as covariates in a forced-entry binary logistic regression analysis. Results Overall, 150,278 patients were included in the analysis, among whom 3,458 experienced falls. The median age of the entire cohort was 70 years, with men constituting 53.1%. Binary logistic regression analysis revealed that the prescription of lemborexant, suvorexant, and ramelteon at admission was not significantly associated with inpatient falls. Conclusion The administration of lemborexant, suvorexant, and ramelteon at admission may not be associated with inpatient falls.
Collapse
Affiliation(s)
- Risa Hirata
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Naoko E Katsuki
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Hitomi Shimada
- Shimada Hospital of Medical Corporation Chouseikai, Saga, Japan
| | - Eiji Nakatani
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Kiyoshi Shikino
- Department of General Medicine, Chiba University Hospital, Chiba, Japan
- Department of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan
| | | | - Kaori Amari
- Department of Emergency Medicine, Saga-Ken Medical Centre Koseikan, Saga, Japan
| | - Yoshimasa Oda
- Department of General Medicine, Yuai-Kai Foundation and Oda Hospital, Saga, Japan
| | - Midori Tokushima
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Masaki Tago
- Department of General Medicine, Saga University Hospital, Saga, Japan
| |
Collapse
|
2
|
Tago M, Hirata R, Katsuki NE, Nakatani E, Tokushima M, Nishi T, Shimada H, Yaita S, Saito C, Amari K, Kurogi K, Oda Y, Shikino K, Ono M, Yoshimura M, Yamashita S, Tokushima Y, Aihara H, Fujiwara M, Yamashita SI. Validation and Improvement of the Saga Fall Risk Model: A Multicenter Retrospective Observational Study. Clin Interv Aging 2024; 19:175-188. [PMID: 38348445 PMCID: PMC10859763 DOI: 10.2147/cia.s441235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/28/2023] [Indexed: 02/15/2024] Open
Abstract
Purpose We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. The external validation results from the two hospitals showed that the area under the curve (AUC) of SFRM2 may be lower in other facilities. This study aimed to validate the accuracy of SFRM2 using data from eight hospitals, including chronic care hospitals, and adjust the coefficients to improve the accuracy of SFRM2 and validate it. Patients and Methods This study included all patients aged ≥20 years admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals, from April 1, 2018, to March 31, 2021. In-hospital falls were used as the outcome, and the AUC and shrinkage coefficient of SFRM2 were calculated. Additionally, SFRM2.1, which was modified from the coefficients of SFRM2 using logistic regression with the eight items comprising SFRM2, was developed using two-thirds of the data randomly selected from the entire population, and its accuracy was validated using the remaining one-third portion of the data. Results Of the 124,521 inpatients analyzed, 2,986 (2.4%) experienced falls during hospitalization. The median age of all inpatients was 71 years, and 53.2% were men. The AUC of SFRM2 was 0.687 (95% confidence interval [CI]:0.678-0.697), and the shrinkage coefficient was 0.996. SFRM2.1 was created using 81,790 patients, and its accuracy was validated using the remaining 42,731 patients. The AUC of SFRM2.1 was 0.745 (95% CI: 0.731-0.758). Conclusion SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model's parameters fixed.
Collapse
Affiliation(s)
- Masaki Tago
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Risa Hirata
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Naoko E Katsuki
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Eiji Nakatani
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Midori Tokushima
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Tomoyo Nishi
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Hitomi Shimada
- Shimada Hospital of Medical Corporation Chouseikai, Saga, Japan
| | - Shizuka Yaita
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | | | - Kaori Amari
- Department of Emergency Medicine, Saga-Ken Medical Centre Koseikan, Saga, Japan
| | - Kazuya Kurogi
- Department of General Medicine, National Hospital Organization Ureshino Medical Center, Saga, Japan
| | - Yoshimasa Oda
- Department of General Medicine, Yuai-Kai Foundation and Oda Hospital, Saga, Japan
| | - Kiyoshi Shikino
- Department of General Medicine, Chiba University Hospital, Chiba, Japan
- Department of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Maiko Ono
- Department of General Medicine, Karatsu Municipal Hospital, Saga, Japan
| | - Mariko Yoshimura
- Safety Management Section, Saga University Hospital, Saga, Japan
| | - Shun Yamashita
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | | | - Hidetoshi Aihara
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | - Motoshi Fujiwara
- Department of General Medicine, Saga University Hospital, Saga, Japan
| | | |
Collapse
|