Modeling Low Muscle Mass Screening in Hemodialysis Patients | Zendy

Daiki Senzaki | Zendy; Nobuo Yoshioka | Zendy; Osamu Nagakawa | Zendy; Emi Inayama | Zendy; Takafumi Nakagawa | Zendy; Hidehito Takayama | Zendy; Toko Endo | Zendy; Fumitaka Nakajima | Zendy; Masayoshi Fukui | Zendy; Yasuaki Kijima | Zendy; Yasuo Oyama | Zendy; Risshi Kudo | Zendy; Tadashi Toyama | Zendy; Yosuke Yamada | Zendy; Kiyoshi Tsurusaki | Zendy; Naoki Aoyama | Zendy; T Matsumura | Zendy; Hideki Yamahara | Zendy; Kenro Miyasato | Zendy; Tetsuya Kitamura | Zendy; Tatsuyoshi Ikenoue | Zendy

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Modeling Low Muscle Mass Screening in Hemodialysis Patients

Author(s) -

Daiki Senzaki,

Nobuo Yoshioka,

Osamu Nagakawa,

Emi Inayama,

Takafumi Nakagawa,

Hidehito Takayama,

Toko Endo,

Fumitaka Nakajima,

Masayoshi Fukui,

Yasuaki Kijima,

Yasuo Oyama,

Risshi Kudo,

Tadashi Toyama,

Yosuke Yamada,

Kiyoshi Tsurusaki,

Naoki Aoyama,

T Matsumura,

Hideki Yamahara,

Kenro Miyasato,

Tetsuya Kitamura,

Tatsuyoshi Ikenoue

Publication year - 2022

Publication title -

the nephron journals/nephron journals

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.951

H-Index - 72

eISSN - 2235-3186

pISSN - 1660-8151

DOI - 10.1159/000526866

Subject(s) - medicine , sarcopenia , hemodialysis , dialysis , logistic regression , body mass index , kidney disease , area under the curve , nephrology , stepwise regression , urology

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.

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