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Study on the correlation between geriatric nutritional risk index and the risk of all-cause and cardiovascular mortality in elderly populations: analysis of the modulating role of cardiovascular-kidney-metabolic syndrome on association strength
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Zheng-xie WU, Ming-yue LIU, Cai-jun HAN, Hai-xia CUI, Zheng QU, Mei-hua PIAO
Modern Preventive Medicine | 2025, 52(10) : 1742 - 1747
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Modern Preventive Medicine | 2025, 52(10): 1742-1747
Epidemiology and Statistical Methods Advances
Study on the correlation between geriatric nutritional risk index and the risk of all-cause and cardiovascular mortality in elderly populations: analysis of the modulating role of cardiovascular-kidney-metabolic syndrome on association strength
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Zheng-xie WU, Ming-yue LIU, Cai-jun HAN, Hai-xia CUI, Zheng QU, Mei-hua PIAO
Affiliations
  • Department of Laboratory, Yanbian University Hospital, Yanji, Jilin 133000, China
Published: 2025-05-25 doi: 10.20043/j.cnki.MPM.202412244
Outline
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Objective

To analyze the correlation between the Geriatric Nutritional Risk Index (GNRI) and the risk of all-cause and cardiovascular disease (CVD) mortality in elderly populations, and to investigate whether the Cardiovascular-Kidney-Metabolic Syndrome (CKM) modulates this association.

Methods

This study was based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) cohort data from 2014 to 2018. The baseline was set in 2014, and participants were prospectively followed for 4 years until the follow-up ended in 2018. Participants were divided into two groups according to the Geriatric Nutritional Risk Index (GNRI): the nutritionally normal group (GNRI ≥ 98) and the malnutrition group (GNRI < 98). Kaplan-Meier analysis and log-rank tests were used to assess differences in survival rates between the groups. Restricted cubic spline (RCS) analysis was employed to explore the non-linear relationship between GNRI and survival risk. Cox proportional hazards models were used to evaluate the associations of GNRI and CKM stratifications with survival risk and to investigate the interaction effect of CKM staging.

Results

A total of 1 725 elderly participants were included, and during the 4-year follow-up, 530 cases of all-cause mortality and 160 cases of CVD mortality were recorded. Significant differences in survival probabilities of all-cause and CVD mortality were observed among different GNRI groups (both P<0.001). GNRI showed a linear negative correlation with both all-cause and CVD mortality risks (P<0.001, P for non-linearity>0.05). After adjusting for confounding factors, compared to the nutritionally normal group, the elderly in the poor nutrition group had a 63% higher risk of all-cause mortality (HR=1.63, 95%CI: 1.34 - 1.97) and a 45% higher risk of CVD mortality (HR=1.45, 95%CI: 1.01 - 2.07). Additionally, CKM staging had a significant modulating effect on the association between GNRI and all-cause mortality risk (P for interaction < 0.05), but it did not have a significant modulating effect on the association between GNRI and CVD mortality risk (P for interaction > 0.05).

Conclusion

GNRI is an independent predictor of all-cause and CVD mortality risk in elderly populations, and its protective effect against all-cause mortality risk is more pronounced in patients with earlier CKM staging.

Elderly  /  Geriatric nutritional risk index  /  Cardiovascular-Kidney-Metabolic Syndrome  /  All-cause mortality  /  Cardiovascular mortality
Zheng-xie WU, Ming-yue LIU, Cai-jun HAN, Hai-xia CUI, Zheng QU, Mei-hua PIAO. Study on the correlation between geriatric nutritional risk index and the risk of all-cause and cardiovascular mortality in elderly populations: analysis of the modulating role of cardiovascular-kidney-metabolic syndrome on association strength[J]. Modern Preventive Medicine, 2025 , 52 (10) : 1742 -1747 . DOI: 10.20043/j.cnki.MPM.202412244
Year 2025 volume 52 Issue 10
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Article Info
doi: 10.20043/j.cnki.MPM.202412244
  • Receive Date:2024-12-13
  • Online Date:2026-03-18
  • Published:2025-05-25
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  • Received:2024-12-13
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    Department of Laboratory, Yanbian University Hospital, Yanji, Jilin 133000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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