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Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease

OBJECTIVE: To explore the association of the trajectory of serum Cystatin C (Cysc) with diabetic kidney disease (DKD), a retrospective cohort study of Chinese subjects was carried out. METHOD: A review of 2,928 diabetes mellitus (DM) patients admitted to the clinic and ward of the Endocrinology Depa...

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Autores principales: Wang, Nana, Lu, Zhenyu, Zhang, Wei, Bai, Yu, Pei, Dongmei, Li, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130469/
https://www.ncbi.nlm.nih.gov/pubmed/35634510
http://dx.doi.org/10.3389/fendo.2022.824279
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author Wang, Nana
Lu, Zhenyu
Zhang, Wei
Bai, Yu
Pei, Dongmei
Li, Ling
author_facet Wang, Nana
Lu, Zhenyu
Zhang, Wei
Bai, Yu
Pei, Dongmei
Li, Ling
author_sort Wang, Nana
collection PubMed
description OBJECTIVE: To explore the association of the trajectory of serum Cystatin C (Cysc) with diabetic kidney disease (DKD), a retrospective cohort study of Chinese subjects was carried out. METHOD: A review of 2,928 diabetes mellitus (DM) patients admitted to the clinic and ward of the Endocrinology Department, Shengjing Hospital of China Medical University from January 1, 2014 to December 31, 2014 was performed. Subsequent visits to the hospital were followed until December 31, 2020. The primary endpoint was the incidence of DKD as diagnosed by urinary albumin/creatinine ratio ≥30 mg/g and/or estimated glomerular filtration rate <60 ml/min per 1.73 m(2). Healthy control subjects were identified from a health checkup database in Shengjing Hospital from 2016 to 2019. The latent class growth mixed modeling (LCGMM) method was used to analyze latent classes of serum Cysc in healthy and DM subjects. Finally, the hazard ratios (HRs) of latent classes of Cysc in DM subjects were analyzed by Cox regression analysis. RESULTS: A total of 805 type 2 diabetes mellitus (T2DM) and 349 healthy subjects were included in the trial. The HRs of quartiles of baseline Cysc in T2DM subjects were 7.15 [95% confidence interval (CI), 2.79 to 25.57], 2.30 (95% CI, 1.25 to 4.24), and 2.05 (95% CI, 1.14 to 3.70), respectively, for quartile 4 (Q4), Q3, and Q2 when compared with Q1. Through LCGMM, a 1-class linear model was selected for the Cysc latent class in healthy subjects. In contrast, a 3-class linear model was selected for that in DM subjects. The slopes of the three latent classes in T2DM subjects were larger than the slope in healthy subjects. The HRs of incident DKD were 3.43 (95% CI, 1.93 to 6.11) for the high-increasing class and 1.80 (95% CI, 1.17 to 2.77) for the middle-increasing class after adjusting for confounding variables. CONCLUSIONS: Patients with T2DM had a higher velocity of increase in Cysc than healthy subjects. Patients with high baseline Cysc values and high latent increasing velocity of Cysc had a higher risk of developing DKD in later life. More attention should be paid to patients with these high-risk factors.
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spelling pubmed-91304692022-05-26 Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease Wang, Nana Lu, Zhenyu Zhang, Wei Bai, Yu Pei, Dongmei Li, Ling Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: To explore the association of the trajectory of serum Cystatin C (Cysc) with diabetic kidney disease (DKD), a retrospective cohort study of Chinese subjects was carried out. METHOD: A review of 2,928 diabetes mellitus (DM) patients admitted to the clinic and ward of the Endocrinology Department, Shengjing Hospital of China Medical University from January 1, 2014 to December 31, 2014 was performed. Subsequent visits to the hospital were followed until December 31, 2020. The primary endpoint was the incidence of DKD as diagnosed by urinary albumin/creatinine ratio ≥30 mg/g and/or estimated glomerular filtration rate <60 ml/min per 1.73 m(2). Healthy control subjects were identified from a health checkup database in Shengjing Hospital from 2016 to 2019. The latent class growth mixed modeling (LCGMM) method was used to analyze latent classes of serum Cysc in healthy and DM subjects. Finally, the hazard ratios (HRs) of latent classes of Cysc in DM subjects were analyzed by Cox regression analysis. RESULTS: A total of 805 type 2 diabetes mellitus (T2DM) and 349 healthy subjects were included in the trial. The HRs of quartiles of baseline Cysc in T2DM subjects were 7.15 [95% confidence interval (CI), 2.79 to 25.57], 2.30 (95% CI, 1.25 to 4.24), and 2.05 (95% CI, 1.14 to 3.70), respectively, for quartile 4 (Q4), Q3, and Q2 when compared with Q1. Through LCGMM, a 1-class linear model was selected for the Cysc latent class in healthy subjects. In contrast, a 3-class linear model was selected for that in DM subjects. The slopes of the three latent classes in T2DM subjects were larger than the slope in healthy subjects. The HRs of incident DKD were 3.43 (95% CI, 1.93 to 6.11) for the high-increasing class and 1.80 (95% CI, 1.17 to 2.77) for the middle-increasing class after adjusting for confounding variables. CONCLUSIONS: Patients with T2DM had a higher velocity of increase in Cysc than healthy subjects. Patients with high baseline Cysc values and high latent increasing velocity of Cysc had a higher risk of developing DKD in later life. More attention should be paid to patients with these high-risk factors. Frontiers Media S.A. 2022-05-11 /pmc/articles/PMC9130469/ /pubmed/35634510 http://dx.doi.org/10.3389/fendo.2022.824279 Text en Copyright © 2022 Wang, Lu, Zhang, Bai, Pei and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Wang, Nana
Lu, Zhenyu
Zhang, Wei
Bai, Yu
Pei, Dongmei
Li, Ling
Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease
title Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease
title_full Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease
title_fullStr Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease
title_full_unstemmed Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease
title_short Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease
title_sort serum cystatin c trajectory is a marker associated with diabetic kidney disease
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130469/
https://www.ncbi.nlm.nih.gov/pubmed/35634510
http://dx.doi.org/10.3389/fendo.2022.824279
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