Volume 29, Issue 3 pp. 357-364
ORIGINAL ARTICLE

Prognostic value of Glasgow prognostic score in patients undergoing hemodialysis

Ryosuke Sakamoto

Ryosuke Sakamoto

Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan

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Kenta Torigoe

Corresponding Author

Kenta Torigoe

Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan

Correspondence

Kenta Torigoe, Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki City, Nagasaki 852-8501, Japan.

Email: [email protected]

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Shinichi Abe

Shinichi Abe

Nagasaki Renal Center, Nagasaki City, Nagasaki, Japan

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Mineaki Kitamura

Mineaki Kitamura

Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan

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Satoshi Funakoshi

Satoshi Funakoshi

Nagasaki Renal Center, Nagasaki City, Nagasaki, Japan

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Takahiro Takazono

Takahiro Takazono

Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan

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Noriho Sakamoto

Noriho Sakamoto

Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan

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Hiroshi Mukae

Hiroshi Mukae

Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan

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Tomoya Nishino

Tomoya Nishino

Department of Nephrology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan

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First published: 26 March 2025

Abstract

Introduction

Usefulness of the Glasgow prognostic score (GPS), modified GPS (mGPS), and high-sensitivity mGPS (HS-mGPS) in the prognosis of patients undergoing hemodialysis remains unclear. This study aimed to investigate this.

Methods

The GPS, mGPS, and HS-mGPS were calculated retrospectively in 339 patients undergoing hemodialysis; their association with all-cause mortality was analyzed using the Kaplan–Meier method and Cox proportional hazards models.

Results

Survival rates decreased according to the GPS (0, 1, and 2), but were similar between the mGPS and HS-mGPS. In the multivariate Cox proportional hazards model, the GPS, not the mGPS or HS-mGPS, was associated with a higher risk of all-cause mortality in patients with scores 1 (hazard ratio [HR]: 1.76, 95% confidence interval [CI]: 1.29–2.42, p = 0.0004) and 2 (HR: 2.87, 95% CI: 1.91–4.32, p < 0.0001) compared with score 0.

Conclusions

The GPS classified patients into poor prognostic risk groups more clearly than other scores.

CONFLICT OF INTEREST STATEMENT

The authors have declared that no conflict of interest exists.

DATA AVAILABILITY STATEMENT

The data presented in this study are available on request from the corresponding author.

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