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Comprehensive assessment of the combined impact of dyslipidemia and inflammation on chronic kidney disease development: A prospective cohort study.
Yoon, Jihyun; Han, Taehwa; Heo, Seok-Jae; Kwon, Yu-Jin.
Afiliación
  • Yoon J; Department of Family Medicine, Korean University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02481, Republic of Korea (Dr Yoon).
  • Han T; Health-IT Center, Yonsei University Severance Hospital, Seoul, 03722, Republic of Korea (Dr Han).
  • Heo SJ; Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea (Dr Heo). Electronic address: SJHEO@yuhs.ac.
  • Kwon YJ; Department of Family Medicine, Yongin Severance Hospital, Yonsei University of College of Medicine, Seoul, 03722, Republic of Korea (Dr Kwon). Electronic address: digda3@yuhs.ac.
J Clin Lipidol ; 18(2): e251-e260, 2024.
Article en En | MEDLINE | ID: mdl-38233308
ABSTRACT

BACKGROUND:

There remains a limited comprehensive understanding of how dyslipidemia and chronic inflammation collectively contribute to the development of chronic kidney disease (CKD).

OBJECTIVE:

We aimed to identify clusters of individuals with five variables, including lipid profiles and C-reactive protein (CRP) levels, and to assess whether the clusters were associated with incident CKD risk.

METHODS:

We used the Korean Genome and Epidemiology Study-Ansan and Ansung data. K-means clustering analysis was performed to identify distinct clusters based on total cholesterol, triglyceride, non-high-density lipoprotein (HDL)-C, HDL-C, and CRP levels. Cox proportional hazards models were used to examine the association between incident CKD risk and the different clusters.

RESULTS:

During the mean 10-year follow-up period, CKD developed in 1,645 participants (690 men and 955 women) among a total of 8,053 participants with a mean age of 51.8 years. Four distinct clusters were identified C1, low cholesterol group (LC); C2, high-density lipoprotein cholesterol group (HC); C3, insulin resistance and inflammation group (IIC); and C4, dyslipidemia and inflammation group (DIC). Cluster 4 had a significantly higher risk of incident CKD compared to clusters 2 (hazard ratio (HR) 1.455 [95% confidence interval (CI) 1.234-1.715]; p < 0.001) and cluster 1 (HR 1.264 [95% CI 1.067-1.498]; p = 0.007) after adjusting for confounders. Cluster 3 had a significantly higher risk of incident CKD compared to clusters 2 and 1.

CONCLUSION:

Clusters 4 and 3 had higher risk of incident CKD compared to clusters 2 and 1. The combination of dyslipidemia with inflammation or insulin resistance with inflammation appears to be pivotal in the development of incident CKD.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Insuficiencia Renal Crónica / Dislipidemias / Inflamación Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Clin Lipidol Asunto de la revista: BIOQUIMICA / METABOLISMO Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Insuficiencia Renal Crónica / Dislipidemias / Inflamación Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Clin Lipidol Asunto de la revista: BIOQUIMICA / METABOLISMO Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos