Evidence map›Paper›PMID 39666111›Full record

ArticleActa diabetologica2025

Cluster-based subgroups of prediabetes and its association with prediabetes progression and regression: a prospective cohort study.

Yan Liu, Yu Liu, Min Zhang, Xinchen Wang, Xiaoying Zhou, Haijian Guo, Bei Wang, Duolao Wang, Zilin Sun, Shanhu Qiu

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

0numbers the graph read from it
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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

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yan Liu *Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, No.87 Dingjiaqiao Street, 210009, Nanjing, China.
Yu Liu *Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, No.87 Dingjiaqiao Street, 210009, Nanjing, China.
Min ZhangDepartment of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, No.87 Dingjiaqiao Street, 210009, Nanjing, China.
Xinchen WangDepartment of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, No.87 Dingjiaqiao Street, 210009, Nanjing, China.
Xiaoying ZhouDepartment of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, No.87 Dingjiaqiao Street, 210009, Nanjing, China.
Haijian GuoJiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
Bei WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Duolao WangLiverpool School of Tropical Medicine, Liverpool, UK.
Zilin SunDepartment of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, No.87 Dingjiaqiao Street, 210009, Nanjing, China. sunzilin1963@126.com.
Shanhu QiuDepartment of General Practice, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, No.87 Dingjiaqiao Street, 210009, Nanjing, China. tigershanhu@126.com.ORCID http://orcid.org/0000-0003-2597-3856

Funding

Jiangsu Provincial Key Research and Development Program BE2022828National Natural Science Foundation of China 72374043
6 · The paper itself

Abstract

backgroundCluster analysis provides an effective approach in stratifying prediabetes into different subgroups; however, the association of the cluster-based subgroups with prediabetes progression and regression has not been investigated. We aimed to address this issue in a Chinese population.

methodsA total of 4,128 participants with prediabetes were included to generate cluster-based subgroups of prediabetes based on age, body mass index (BMI), triglyceride-and-glucose (TyG) index, and hemoglobin A1c (HbA1c), using a k-means clustering model. Among them, 1,554 participants were followed-up for about three years to ascertain prediabetes progression and regression. Their association with the cluster-based subgroups of prediabetes was assessed using multinomial logistic regression analyses.

resultsThree clusters of prediabetes were identified among the 4,128 participants, with cluster 0, 1 and 2 accounting for 28.0%, 31.4% and 40.6%, respectively. Participants with prediabetes were featured by the youngest age and the lowest HbA1c in cluster 0, the highest BMI and TyG index in cluster 1, and the oldest age and the lowest BMI in cluster 2. After multivariable-adjustment, both cluster 1 [odds ratio (OR) 3.31, 95% confidence interval (CI): 2.01-5.44] and cluster 2 (OR 2.58, 95% CI: 1.60-4.18) were associated with increased odds of progression to diabetes when compared with cluster 0. They were also associated with decreased odds of regression to normoglycemia (OR 0.54, and 0.56, respectively).

conclusionsPrediabetes participants featured by older age, higher degree of insulin resistance, higher BMI and worse glycemic condition had higher probability of progression to diabetes but lower chance of regression to normoglycemia.

Indexed as

Prediabetic StateAdultAgedBlood GlucoseBody Mass IndexChinaCluster AnalysisDisease ProgressionFemaleGlycated HemoglobinHumansMaleMiddle AgedProspective StudiesTriglyceridesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanTriglyceridesCluster analysisPrediabetesProgressionRegression

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PMID39666111

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