Evidence map›Paper›PMID 39940009›Full record

ArticleDiabetology & metabolic syndrome2025

The prognostic value of remnant cholesterol to adverse renal outcomes in patients with type 2 diabetes.

Pan Yu, Qiongjing Yuan, Ling Huang, Lijian Tao, Zhangzhe Peng, Jiaxi Pu

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 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

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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

6 authors.

Pan YuDepartment of Nephrology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China.
Qiongjing YuanDepartment of Nephrology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China.
Ling HuangDepartment of Nephrology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China.
Lijian TaoDepartment of Nephrology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China.
Zhangzhe PengDepartment of Nephrology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China.
Jiaxi PuDepartment of Nephrology, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha, Hunan Province, China. jiaxipu@csu.edu.cn.

Funding

National Natural Science Foundation of China 82090024the Natural Science Foundation of Hunan province China 2022JJ40790
6 · The paper itself

Abstract

backgroundType 2 diabetes (T2DM) is known to have detrimental effects on renal health. Our study aimed to investigate the relationship between remnant cholesterol (remnant-C) and adverse renal outcomes in patients with T2DM.

methodsWe utilized data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, which included 10,196 participants with T2DM to investigate the relationship between remnant-C and adverse renal outcomes by performing Kaplan-Meier survival analysis, Cox proportional regression and Restricted cubic spline (RCS) analysis. Finally, several sensitivity analyses were conducted to assess the robustness of our findings.

resultsOver a 7-year follow-up period, 2039 patients (23.2%) developed albuminuria, 5824 patients (57.1%) experienced worsening renal function, and 280 patients (2.7%) progressed to renal failure. After adjusting for multiple confounding factors, we found that remnant-C was significantly associated with the development of albuminuria (P = 0.007) and worsening renal function (P = 0.002). However, there was no discernible connection between remnant-C and renal faiure (P = 0.621). In sensitivity analyses, the association between remnant-C and the risk of adverse renal outcomes remained robust.

conclusionOur findings highlight the association between remnant-C and the risk of adverse renal outcomes in patients with T2DM. This easily calculable index can provide valuable information to physicians for predicting the risk of adverse renal outcomes in patients with T2DM.

Indexed as

Adverse renal outcomesRemnant cholesterolType 2 diabetes

Identifiers

PMID39940009
PMCPMC11823253

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