Kenichi Kono1, Yusuke Nishida2, Hiroki Yabe3, Yoshihumi Moriyama4, Toshihiko Mori4, Ryota Shiraki4, Takashi Sato5. 1. School of Health Science at Narita Department of Physical Therapy, International University of Health and Welfare, 4-3 Kozunomori, Narita, Chiba, 286-8686, Japan. kkono@iuhw.ac.jp. 2. School of Health Science at Narita Department of Physical Therapy, International University of Health and Welfare, 4-3 Kozunomori, Narita, Chiba, 286-8686, Japan. 3. School of Rehabilitation Department of Physical Therapy, Seirei Christopher University, Hamamatsu, Shizuoka, Japan. 4. Department of Wellness Center, Nagoya Kyoritsu Hospital, Nagoya, Aichi, Japan. 5. Hemodialysis Center, Meiko Kyoritsu Clinic, Nagoya, Aichi, Japan.
Abstract
BACKGROUND: Dialysis patients often have low physical performance due to uremic sarcopenia, protein energy wasting (PEW), and incidence intradialytic hypotension (IDH), which are indicated as risk factors for falling. The objective of this study was to develop a symptom-encompassing evaluation form to predict falls with high sensitivity for dialysis patients. METHODS: A total of 251 patients who had been receiving maintenance hemodialysis therapy three times a week were enrolled in the study. Demographics, malnutrition and inflammatory status, dialytic therapeutic management situation, physical function and performance, and inquiries about falling were recorded. The Cox proportional hazards analysis evaluated the impact of falls. Calculated hazard ratios were converted to weighted scores, using approximate multiples of 0.5 and an evaluation form was created, which we called the Dialysis Fall Risk Index (DFRI). Kaplan-Meier survival analyses with the log-rank test and the Cox proportional hazard analysis were performed to evaluate the validity of the DFRI. RESULTS: The DFRI consisted of seven items and a total of 12 points. The predictive validity of DFRI included hazard ratios for quartile 3 and 4 of 2.65 and 3.84, respectively, compared with quartile 1 as a reference point. The cut-off point of the DFRI showed the highest sensitivity and specificity among other screening indices. DISCUSSION: The present study included the development of a new evaluation form that encompasses symptoms of end-stage kidney disease to predict falls in dialysis patients.
BACKGROUND: Dialysis patients often have low physical performance due to uremic sarcopenia, protein energy wasting (PEW), and incidence intradialytic hypotension (IDH), which are indicated as risk factors for falling. The objective of this study was to develop a symptom-encompassing evaluation form to predict falls with high sensitivity for dialysis patients. METHODS: A total of 251 patients who had been receiving maintenance hemodialysis therapy three times a week were enrolled in the study. Demographics, malnutrition and inflammatory status, dialytic therapeutic management situation, physical function and performance, and inquiries about falling were recorded. The Cox proportional hazards analysis evaluated the impact of falls. Calculated hazard ratios were converted to weighted scores, using approximate multiples of 0.5 and an evaluation form was created, which we called the Dialysis Fall Risk Index (DFRI). Kaplan-Meier survival analyses with the log-rank test and the Cox proportional hazard analysis were performed to evaluate the validity of the DFRI. RESULTS: The DFRI consisted of seven items and a total of 12 points. The predictive validity of DFRI included hazard ratios for quartile 3 and 4 of 2.65 and 3.84, respectively, compared with quartile 1 as a reference point. The cut-off point of the DFRI showed the highest sensitivity and specificity among other screening indices. DISCUSSION: The present study included the development of a new evaluation form that encompasses symptoms of end-stage kidney disease to predict falls in dialysis patients.
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