Modeling Low Muscle Mass Screening in Hemodialysis Patients.

ABSTRACT:

Introduction

Computed tomography (CT) can accurately measure muscle mass, which is necessary for diagnosing sarcopenia, even in dialysis patients. However, CT-based screening for such patients is challenging, especially considering the availability of equipment within dialysis facilities. We therefore aimed to develop a bedside prediction model for low muscle mass, defined by the psoas muscle mass index (PMI) from CT measurement.

Methods

Hemodialysis patients (n = 619) who had undergone abdominal CT screening were divided into the development (n = 441) and validation (n = 178) groups. PMI was manually measured using abdominal CT images to diagnose low muscle mass by two independent investigators. The development group's data were used to create a logistic regression model us

SUBMITTER: Senzaki D 

PROVIDER: S-EPMC10210080 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature