UZH-Logo

Maintenance Infos

Cystatin C predicts diabetic retinopathy in Chinese patients with type 2 diabetes


Sun, Shijie; Li, Minglong; Zhou, Jie; Gai, Zhibo; Shi, Haiyan; Zhao, Qing; Tian, Jun (2015). Cystatin C predicts diabetic retinopathy in Chinese patients with type 2 diabetes. International Journal of Diabetes in Developing Countries, 35(Suppl 3):398-404.

Abstract

This study aims to identify the predictive value of cystatin C for diabetic retinopathy (DR) in Chinese patients with type 2 diabetes. Data from a cross-sectional hospital-based survey of 450 type 2 diabetes patients were analyzed in the study. DR was assessed by fundus fluorescein angiography. Duration of diabetes and other related information were obtained by questionnaire. Body mass index, blood pressure, HbA1c, cystatin C, glomerular filtration rate, urinary albumin excretion, blood lipids, and uric acid were measured. Binary logistic regression was performed to evaluate potential risk factors for DR. The predictive value of cystatin C for DR was evaluated using ROC curve. Cystatin C (P = 0.039) was a risk factor for DR after GFR, and other possibly related variables were adjusted. Cystatin C had a significant predictive value for any DR (AUC, 0.763, P < 0.001; optimal cutoff value, 1.11 mg/L; sensitivity, 56.00 %; specificity, 83.90 %) or severe DR (AUC, 0.821, P < 0.001; optimal cutoff value, 1.23 mg/L; sensitivity, 73.60 %; specificity, 88.70 %). Cystatin C is a novel risk factor for DR and should be used to screen and forecast the presence of DR (especially severe DR) in Chinese patients with type 2 diabetes. The association between cystiatin C and DR should not depend on the excellent ability of cystatin C for the estimation of GFR.

Abstract

This study aims to identify the predictive value of cystatin C for diabetic retinopathy (DR) in Chinese patients with type 2 diabetes. Data from a cross-sectional hospital-based survey of 450 type 2 diabetes patients were analyzed in the study. DR was assessed by fundus fluorescein angiography. Duration of diabetes and other related information were obtained by questionnaire. Body mass index, blood pressure, HbA1c, cystatin C, glomerular filtration rate, urinary albumin excretion, blood lipids, and uric acid were measured. Binary logistic regression was performed to evaluate potential risk factors for DR. The predictive value of cystatin C for DR was evaluated using ROC curve. Cystatin C (P = 0.039) was a risk factor for DR after GFR, and other possibly related variables were adjusted. Cystatin C had a significant predictive value for any DR (AUC, 0.763, P < 0.001; optimal cutoff value, 1.11 mg/L; sensitivity, 56.00 %; specificity, 83.90 %) or severe DR (AUC, 0.821, P < 0.001; optimal cutoff value, 1.23 mg/L; sensitivity, 73.60 %; specificity, 88.70 %). Cystatin C is a novel risk factor for DR and should be used to screen and forecast the presence of DR (especially severe DR) in Chinese patients with type 2 diabetes. The association between cystiatin C and DR should not depend on the excellent ability of cystatin C for the estimation of GFR.

Citations

Altmetrics

Downloads

4 downloads since deposited on 14 Jan 2016
4 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Clinical Pharmacology and Toxicology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:30 April 2015
Deposited On:14 Jan 2016 09:11
Last Modified:30 Apr 2016 00:00
Publisher:Springer
ISSN:0973-3930
Additional Information:The final publication is available at Springer via http://dx.doi.org/10.1007/s13410-015-0383-3
Publisher DOI:https://doi.org/10.1007/s13410-015-0383-3

Download

[img]
Preview
Content: Accepted Version
Filetype: PDF
Size: 279kB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations