関連する実験動画
Updated: Feb 28, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
慢性血液透析患者の座位行動に基づいた生存率予測のための新規ノモグラム
Kentaro Sugahara1,2, Takashi Kondo3, Nobuyuki Miyatake1
1Department of Hygiene, Faculty of Medicine, Kagawa University.
Abstract:
Appropriate treatments for chronic hemodialysis patients are a public health challenge in Japan. Sedentary behavior appears to be closely associated with these patients' survival. We thus sought to develop a nomogram that predicts survival based on the duration of chronic hemodialysis patients' sedentary behavior. One hundred twenty-four patients under chronic hemodialysis (73 men, 51 women, age 71.7±11.1 years) were enrolled in this cohort study. The patients wore a triaxial accelerometer that measured both their sedentary behavior, i.e., total sedentary behavior (minutes) and their maximum sedentary bouts (min) on non-hemodialysis days. We obtained the Kaplan-Meier curve and used the log-rank test and a Cox proportional hazards model to evaluate the relationship between the patients' sedentary behavior and their survival. We also used a Cox proportional hazards model to develop a nomogram for the patients' 5-year survival rate. Forty-six patients died during the follow-up period. When we stratified the patients by the medians of total sedentary behavior and maximum sedentary bouts, we observed significant between-group differences. After adjustment for confounding factors in a Cox proportional hazards model, total sedentary behavior and maximum sedentary bouts were identified as critical survival factors, and we generated a nomogram using an index of sedentary behavior. Our analysis results demonstrated that sedentary behavior on non-dialysis days was closely associated with the survival of the chronic hemodialysis patients, suggesting that a decrease in sedentary behavior would prolong their survival. The nomogram developed herein based on sedentary behavior may be useful for predicting the outcomes of chronic hemodialysis patients.
さらに関連する動画
05:16Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
04:36Measurement of Tissue Oxygenation Using Near-Infrared Spectroscopy in Patients Undergoing Hemodialysis
Published on: October 2, 2020
関連する概念動画
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Hemodialysis III: Nursing Management
Hemodialysis I: Introduction
Chronic Kidney Disease III: Interprofessional Care
Dosage Regimen Designs: Nomograms and Tabulations
Heart Failure VI: Adjunct Therapies