Associations of the geriatric nutritional risk index and simplified geriatric nutritional risk index with chronic obstructive pulmonary disease

PurposeThis study aimed to investigate the associations of the Geriatric Nutritional Risk Index (GNRI) and the simplified Geriatric Nutritional Risk Index (sGNRI) with Chronic Obstructive Pulmonary Disease (COPD).MethodsWe assessed 161 patients with COPD and 947 healthy controls. The sGNRI was derived using the formula: serum albumin (g/dL) + 0.1 × body mass index (BMI, kg/m<sup>2</sup>). Primary outcomes included the BODE (body mass index, airflow obstruction, dyspnea, exercise capacity) index and hospital length of stay (LOS). The secondary outcome was the prevalence of COPD.ResultsMalnourished patients (GNRI <95.40 or sGNRI <5.89) exhibited lower BMI and albumin levels, as well as worse pulmonary function (all <i>p</i> < 0.05). GNRI (Odds Ratio [OR] = 0.945, 95% Confidence Interval [CI]: 0.903-0.989, <i>p</i> = 0.015) and sGNRI (OR = 0.413, 95% CI: 0.191-0.890, <i>p</i> = 0.024) were significantly associated with the severity of COPD in a multivariable-adjusted model. Subgroup analysis revealed stronger predictive performance of GNRI and sGNRI among males, non-hypertensive patients, and smokers (for sGNRI).ConclusionsCompared with GNRI, sGNRI may serve as a more practical tool for identifying malnutrition-related risk among patients with COPD.

Authors

Institutions

Publication Details

Journal
Chronic Respiratory Disease
Published
2025-11-01
DOI
https://doi.org/10.1177/14799731251400261
Citations
1
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations of the geriatric nutritional risk index and simplified geriatric nutritional risk index with chronic obstructive pulmonary disease

Zihan Ye, Yage Xu, Siyao Chen, Zicong Dai et al.
1 citations
Chronic Respiratory Disease
Chronic Obstructive Pulmonary Disease (COPD) Research
1.52
article

Associations of the geriatric nutritional risk index and simplified geriatric nutritional risk index with chronic obstructive pulmonary disease

Zihan Ye, Yage Xu, Siyao Chen, Zicong Dai, Xiaodiao Zhang, Yiben Huang, Xianjing Chen, Yiting Yu, Xuanyang Chen, Xinran Li, Chunyan Liu, Rui‐Hua Xu, Beibei Yu
article en
1 citations

Abstract

PurposeThis study aimed to investigate the associations of the Geriatric Nutritional Risk Index (GNRI) and the simplified Geriatric Nutritional Risk Index (sGNRI) with Chronic Obstructive Pulmonary Disease (COPD).MethodsWe assessed 161 patients with COPD and 947 healthy controls. The sGNRI was derived using the formula: serum albumin (g/dL) + 0.1 × body mass index (BMI, kg/m<sup>2</sup>). Primary outcomes included the BODE (body mass index, airflow obstruction, dyspnea, exercise capacity) index and hospital length of stay (LOS). The secondary outcome was the prevalence of COPD.ResultsMalnourished patients (GNRI <95.40 or sGNRI <5.89) exhibited lower BMI and albumin levels, as well as worse pulmonary function (all <i>p</i> < 0.05). GNRI (Odds Ratio [OR] = 0.945, 95% Confidence Interval [CI]: 0.903-0.989, <i>p</i> = 0.015) and sGNRI (OR = 0.413, 95% CI: 0.191-0.890, <i>p</i> = 0.024) were significantly associated with the severity of COPD in a multivariable-adjusted model. Subgroup analysis revealed stronger predictive performance of GNRI and sGNRI among males, non-hypertensive patients, and smokers (for sGNRI).ConclusionsCompared with GNRI, sGNRI may serve as a more practical tool for identifying malnutrition-related risk among patients with COPD.

Chronic Respiratory DiseaseVol. 22
Wenzhou Medical University (CN), Ruian People's Hospital (CN)
Openalex Percentile: Top 13%
Chronic Obstructive Pulmonary Disease (COPD) Research
1.52
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.