Articles Vol. 66 No. CĐ5-NCKH 06/05/2025

23. SURVEY ON THE ABILITY TO PREDICTION OF FALLS IN ELDERLY PATIENTS RECEIVING OUTPATIENT TREATMENT AT HO CHI MINH CITY HOSPITAL FOR REHABILITATION - OCCUPATIONAL DISEASE

Luong Thi Anh Ngoc1,2, Vong Tinh Nam3,4, Pham Xuan The5,6, Nguyen Huu Duc Minh5,6
1 Hong Bang International University
2 Đại học Quốc tế Hồng Bàng
3 Ho Chi Minh city Hospital for Rehabilitation - Occupational Disease
4 Bệnh viện Phục hồi chức năng - Điều trị bệnh nghề nghiệp TP Hồ Chí Minh
5 University of Medicine and Pharmacy at Ho Chi Minh city
6 Đại học Y dược thành phố Hồ Chí Minh
Corresponding author: nhdminh@ump.edu.vn
DOI: 10.52163/yhc.v66iCD5.2458
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Keywords
Heart rate variability fall risk elderly patients CDC/STEADI 12-question tool
Abstract

Objectives: The study aims to determine the rate and risk of falls, evaluate the role of time-frequency variation, SpO2 and the table in predicting falls in elderly patients.

Subject and methods: Descriptive cross-sectional study from April 2023 to June 2024. The study collected convenience 244 outpatients aged 60 years or older who met the sampling criteria and did not meet the exclusion criteria at Ho Chi Minh city Hospital for Rehabilitation - Occupational Disease. During the first visit, patients were examined and assessed for fall risk using the CDC/STEADI 12 independent living questionnaire, and the time-frequency variation index was measured using the Kyto HRM 2511B machine. Falling status will be recorded during the next exploration.

Results: The results showed that the 12-question CDC/STEADI questionnaire had a statistically significant predictive ability for falls (p < 0.01). There were statistically significant differences between diastolic blood pressure, BMI, heart rate, and heart rate variability in the fall and non-fall groups. There was no statistically significant difference between SpO2 in fall patients and non-fall patients.

Conclusion: Patients at high risk have a greater risk of falling than those at low risk. Diastolic blood pressure, BMI, and heart rate variability can predict the risk of falling. SpO2 has no role in assessing the risk of falling. The use of these parameters can help physicians intervene promptly to reduce the risk of falling.

References
[1]
Robert W Nithman, Jennifer L Vincenzo. How steady is the STEADI? Inferential analysis of the CDC fall risk toolkit, Archives of Gerontology and Geriatrics, Volume 8, 2019, Pages 185-194, ISSN 0167-4943. Google Scholar
[2]
Melillo P, Castaldo R, Izzo R et al. Fall prediction in hypertensive patients via short-term HRV analysis. IEEE J Biomed Health Inform, 2017, 21 (2): 399-406. Google Scholar
[3]
Diana Klein, Gabriele Nagel, Andrea Kleiner et al. Blood pressure and falls in community-dwelling people aged 60 years and older in the VHM&PP cohort, 2013, BMC Geriatrics, 13, 50. Google Scholar
[4]
Nguyễn Trung Anh, Nguyễn Đặng Khiêm, Đặng Thị Xuân, Vũ Thị Thanh Huyền. Nghiên cứu tỉ lệ ngã và nguy cơ ngã ở bệnh nhân cao tuổi có tăng huyết áp. Tạp chí Tim mạch học Việt Nam, 2021, 96, 92-98. Google Scholar
[5]
Terroba-Chambi C, Bruno V, Vigo D.E et al. Heart rate variability and falls in Huntington’s disease. Clin Auton Res 31, 2021, 281-292. Google Scholar
[6]
Simon Freilich, Robert Barker. Predicting falls risk in patients - the value of cardiovascular variability assessment. British Journal of Medical Practitioners, 2021, 6 (3), a620. Google Scholar
[7]
Melillo P, Jovic A, De Luca N et al. Automatic Prediction of Falls via Heart Rate Variability and Data Mining in Hypertensive Patients: The SHARE Project Experience, 2021. In: Lacković I, Vasic D (eds) 6th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 45, Springer, Cham. Google Scholar
[8]
Luật số 39/2009/QH12 ngày 23 tháng 11 năm 2009 của Quốc hội: Luật Người cao tuổi. Google Scholar