Risk Prediction for Contrast-Induced Nephropathy in Cancer Patients Undergoing Computed Tomography under Preventive Measures
Joint Authors
Huh, Wooseong
Jeon, Junseok
Kim, Suhyun
Yoo, Heejin
Kim, Kyunga
Kim, Yaerim
Park, Sehoon
Jang, Hye Ryoun
Kim, Dong Ki
Kim, Yoon-Goo
Kim, Dae Joong
Oh, Ha Young
Lee, Jung Eun
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Background.
Contrast-induced nephropathy (CIN) is a major cause of acute kidney injury in chronic kidney disease.
Many cancer patients have risk factors for CIN and frequently undergo contrast-enhanced computed tomography (CECT).
We aimed to develop a risk prediction model for CIN in cancer patients undergoing CECT.
Methods.
Between 2009 and 2017, 2,240 cancer patients with estimated glomerular filtration rate (eGFR) < 45 mL/min/1.73 m2 who underwent CECT with CIN preventive measures were included in a development cohort.
Primary outcome was development of CIN, defined as 25% increase in serum creatinine within 2-6 days after contrast exposure.
A prediction model was developed using logistic regression analysis.
The model was evaluated for prognostic utility in an independent cohort (N = 555).
Results.
Overall incidence of CIN was 2.5% (55/2,240).
In multivariable analysis, eGFR, diabetes mellitus, and serum albumin level were identified as independent predictors of CIN.
A prediction model including eGFR, serum albumin level, and diabetes mellitus was developed, and risk scores ranged from 0 to 6 points.
The model demonstrated fair discriminative power (C statistic = 0.733, 95% confidence interval [CI] 0.656-0.810) and good calibration (calibration slope 0.867, 95% Cl 0.719-1.015).
In the validation cohort, the model also demonstrated fair discriminative power (C statistic = 0.749, 95% CI 0.648-0.849) and good calibration (calibration slope 0.974, 95% CI 0.634-1.315).
Conclusions.
The proposed model has good predictive ability for risk of CIN in cancer patients with chronic kidney disease.
This model can aid in risk stratification for CIN in patients undergoing CECT.
American Psychological Association (APA)
Jeon, Junseok& Kim, Suhyun& Yoo, Heejin& Kim, Kyunga& Kim, Yaerim& Park, Sehoon…[et al.]. 2019. Risk Prediction for Contrast-Induced Nephropathy in Cancer Patients Undergoing Computed Tomography under Preventive Measures. Journal of Oncology،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1184630
Modern Language Association (MLA)
Jeon, Junseok…[et al.]. Risk Prediction for Contrast-Induced Nephropathy in Cancer Patients Undergoing Computed Tomography under Preventive Measures. Journal of Oncology No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1184630
American Medical Association (AMA)
Jeon, Junseok& Kim, Suhyun& Yoo, Heejin& Kim, Kyunga& Kim, Yaerim& Park, Sehoon…[et al.]. Risk Prediction for Contrast-Induced Nephropathy in Cancer Patients Undergoing Computed Tomography under Preventive Measures. Journal of Oncology. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1184630
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184630