Prognostic impact of severe malnutrition in dialysis patients who underwent transcatheter aortic valve replacement

Patients with aortic stenosis who are undergoing dialysis are typically considered to be at very high surgical risk. Malnutrition is reported to be significantly associated with all-cause mortality and cardiovascular events in patients undergoing transcatheter aortic valve replacement (TAVR). Although patients with end-stage renal disease undergoing dialysis have poorer outcomes after TAVR, the prognostic effect of nutritional status in this high-risk population remains unclear. Thus, we aimed to investigate the prognostic impact of nutritional status in dialysis patients who underwent TAVR. This retrospective observational study included 106 dialysis patients who underwent TAVR at Tokyo Women’s Medical University. Patients were categorized into four groups according to their Geriatric Nutritional Risk Index (GNRI) values: <82, 82–<92, 92–98, and >98, reflecting severe, moderate, mild, and no nutritional risks, respectively. The primary outcome measure was the all-cause mortality. During a median follow-up of 367 days, all-cause mortality was observed in 35.9% of the overall cohort. Risk stratification according to GNRI was significantly associated with prognosis (log-rank p < 0.001). Notably, patients with severe malnutrition (GNRI <82) had higher mortality than those in other GNRI categories. Nutritional stratification based on GNRI is a useful prognostic indicator. GNRI may provide complementary prognostic information for risk assessment in this high-risk population.

Authors

Institutions

Publication Details

Journal
Cardiovascular Intervention and Therapeutics
Published
2026-09-19
DOI
https://doi.org/10.1007/s12928-026-01350-7
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Prognostic impact of severe malnutrition in dialysis patients who underwent transcatheter aortic valve replacement

Eiji Shibahashi, Hisao Otsuki, Takanori Kawamoto, Ryo Ikeda et al.
Cardiovascular Intervention and Therapeutics
Nutrition and Health in Aging
article

Prognostic impact of severe malnutrition in dialysis patients who underwent transcatheter aortic valve replacement

Eiji Shibahashi, Hisao Otsuki, Takanori Kawamoto, Ryo Ikeda, Satoru Domoto, Naoki Serikawa, Yuki Nakata, Hiroshi Niinami, Ken Ogura, Junichi Yamaguchi, Masafumi Yoshikawa, Tomohito Kogure
article en

Abstract

Patients with aortic stenosis who are undergoing dialysis are typically considered to be at very high surgical risk. Malnutrition is reported to be significantly associated with all-cause mortality and cardiovascular events in patients undergoing transcatheter aortic valve replacement (TAVR). Although patients with end-stage renal disease undergoing dialysis have poorer outcomes after TAVR, the prognostic effect of nutritional status in this high-risk population remains unclear. Thus, we aimed to investigate the prognostic impact of nutritional status in dialysis patients who underwent TAVR. This retrospective observational study included 106 dialysis patients who underwent TAVR at Tokyo Women’s Medical University. Patients were categorized into four groups according to their Geriatric Nutritional Risk Index (GNRI) values: <82, 82–<92, 92–98, and >98, reflecting severe, moderate, mild, and no nutritional risks, respectively. The primary outcome measure was the all-cause mortality. During a median follow-up of 367 days, all-cause mortality was observed in 35.9% of the overall cohort. Risk stratification according to GNRI was significantly associated with prognosis (log-rank p < 0.001). Notably, patients with severe malnutrition (GNRI <82) had higher mortality than those in other GNRI categories. Nutritional stratification based on GNRI is a useful prognostic indicator. GNRI may provide complementary prognostic information for risk assessment in this high-risk population.

Cardiovascular Intervention and Therapeutics
Tokyo Women's Medical University (JP)
Zero hunger
Openalex Percentile: Top 11%
Nutrition and Health in Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.