Early predictive value of red cell distribution width for contrast - induced nephropathy in patients after enhanced computed tomography
10.3760/cma.j.issn.1001-7097.2019.06.003
- VernacularTitle:红细胞分布宽度对增强计算机断层扫描后患者发生对比剂肾病的早期预测价值
- Author:
Youqi LI
1
;
Shaobin XIAO
;
Kexuan LIN
;
Li NI
;
Chengwen HUANG
;
Guanxian LIU
;
Yongjun SHI
Author Information
1. 广东省惠州市中心人民医院肾内科
- Keywords:
Tomography;
X - ray computed;
Contrast media;
Erythrocyte indices;
Risk factor;
Contrast-induced nephropathy
- From:
Chinese Journal of Nephrology
2019;35(6):415-420
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the early predictive value of red cell distribution width (RDW) for contrast-induced nephropathy (CIN) in patients after enhanced computed tomography (CT). Methods A total of 218 patients who underwent enhanced CT between June 2015 and June 2017 at Huizhou Central Municipal Hospital were enrolled in this study. Patients were divided into CIN group and no-CIN group. The diagnostic criteria for CIN is an increase in serum creatinine (Scr) of more than 44.2 μmol/L or 25％ of the baseline value within 3 days of contrast agent use. The general information and clinical characteristics in two groups were compared. The risk factors of CIN were analyzed by logistic regression analysis. The receiver operator characteristic curve (ROC) was used to assess the value of RDW for predicting the occurrence of CIN. Results Among 218 patients, 10(4.59％ ) patients had CIN. In the CIN group age, baseline Scr and baseline RDW were significantly higher, while hemoglobin, baseline estimated glomerular filtration rate (eGFR), red blood cell, white blood cell, albumin, and high - density lipoprotein cholesterol were significantly lower than those in the no - CIN group (all P＜0.05). Binary logistic regression analysis revealed that baseline RDW (OR=2.250, 95％CI 1.031-4.911, P=0.042) and eGFR (OR=0.963, 95％ CI 0.928-0.999, P=0.044) were correlated with the occurrence of CIN. ROC analysis confirmed the area under the curve of RDW as a predictor of CIN was 0.798 (P＜0.001). The cut - off value of RDW was 14.5％ , and the diagnostic sensitivity and specificity in CIN were 70.00％ and 85.58％, respectively. Conclusions Increased baseline RDW and decreased eGFR are the risk factors of the occurrence of CIN after enhanced CT. RDW has a good predictive value, and it may be a good biomarker for the early diagnosis of CIN.
