Evidence map›Paper›PMID 40007805›Full record

ArticleFrontiers in endocrinology2025

Nonlinear association between glycated hemoglobin levels and mortality in elderly patients with non-diabetic chronic kidney disease: a national health and nutrition examination survey analysis.

Lihua Huang, Liuliu He, Qingfeng Zeng, Jinjing Huang, Xiaoyan Luo, Qiuming Zhong

Abstract read
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Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lihua Huang *Department of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Liuliu He *Department of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Qingfeng ZengDepartment of Neurology, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Jinjing HuangDepartment of Gastroenterology, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Xiaoyan LuoDepartment of Interventional Radiology, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Qiuming ZhongDepartment of Hospital Pharmacy, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between glycated hemoglobin (HbA1c) levels and mortality outcomes in elderly patients with non-diabetic chronic kidney disease (CKD) has not been well characterized. This study aimed to investigate the correlation between HbA1c levels and all-cause and cardiovascular disease (CVD) mortality in elderly individuals with non-diabetic CKD. Methods: Data from the NHANES (1999-2018) were analyzed to measure HbA1c levels in whole blood using high-performance liquid chromatography (HPLC). Information on deaths and subsequent details was collected through the National Mortality Index until December 31, 2019. Hazard ratios (HR) and 95% confidence intervals (CIs) for all-cause and CVD mortality were calculated using weighted Cox proportional hazards and restricted cubic spline models. Results: Among the 1,931 participants (mean [SE] age, 73.2 [0.2] years; 61.9% female), over a median follow-up period of 7.6 years, a total of 1,003 deaths were observed, including 412 from CVD. HbA1c was divided into four quartiles: Quartile 1 (3.7-5.3%), Quartile 2 (5.4-5.6%), Quartile 3 (5.7-5.8%) as the reference group, and Quartile 4 (5.9-6.4%). Higher risks of all-cause mortality were noted in the lowest and highest HbA1c quartiles, with adjusted HR (95% CI) of 1.48 (1.18-1.87) and 1.31 (1.01-1.70) respectively. For CVD mortality, the lowest quartile showed a significantly increased risk (HR 1.94, 95% CI: 1.29-2.90), but the highest quartile did not significantly differ from the reference, with HR 1.14 (0.73-1.77). The RCS analysis indicated a U-shaped nonlinear relationship between HbA1c levels and all-cause mortality (P = 0.026 for nonlinearity) and a J-shaped nonlinear relationship with CVD mortality (P = 0.035 for nonlinearity). Conclusion: This cohort study suggests that both low and high HbA1c levels are associated with an increased risk of all-cause mortality in elderly patients with non-diabetic CKD.

Indexed as

Cardiovascular DiseasesGlycated HemoglobinRenal Insufficiency, ChronicAgedAged, 80 and overFemaleFollow-Up StudiesHumansMaleNutrition SurveysRisk FactorsUnited StatesGlycated Hemoglobinhemoglobin A1c protein, humanchronic kidney diseaseHbA1cmortalityNHANESnon-diabetic

Identifiers

PMID40007805
PMCPMC11850242

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.