Establishment of a nomogram model for predicting the risk of contrast-induced nephropathy after percutaneous coronary intervention in type 2 diabetics
Objective To explore the risk factors of contrast-induced nephropathy（CIN）in patients with type 2 diabetes mellitus（T2 DM）undergoing percutaneous coronary intervention（PCI）and develop a visualized evaluation tool for clinical prediction of CIN.Methods A total of 625 T2 DM patients fulfilling the cri...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal of Clinical Nephrology
2021-01-01
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| Series: | Linchuang shenzangbing zazhi |
| Online Access: | http://www.lcszb.com/thesisDetails?columnId=57902367&Fpath=home&index=0 |
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| Summary: | Objective To explore the risk factors of contrast-induced nephropathy（CIN）in patients with type 2 diabetes mellitus（T2 DM）undergoing percutaneous coronary intervention（PCI）and develop a visualized evaluation tool for clinical prediction of CIN.Methods A total of 625 T2 DM patients fulfilling the criteria were selected and divided into control（n=546）and CIN（n=79）groups.Clinical data related to CIN were collected.Statistically significant variables were imported into a multivariate Logistic regression model for analyzing the risk factors of CIN.R-software was utilized for developing a nomogram model for predicting CIN risk.Receiver operating characteristic（ROC）curve was plotted for testifying the predictive value and conformance testing was performed by plotting calibration curve.Hosmer-Lemeshow test was utilized for judging the model’s goodness-of-fit.Results Age, hypertension, hemoglobin<130 g/L,albumin<30 g/L,LEVF<50%,uric acid>400 μmol/L and eGFR<90 mL·min<sup>-1</sup>·（1.73 m<sup>2</sup>）<sup>-1</sup> were independent risk factors for T2 DM complicated with post-PCI CIN（all P<0.05）.With an inclusion of these factors, a nomogram model was successfully constructed.It had decent prediction performance with an area under the ROC curve of 0.82（95% CI=0.802 to 0.882）.Calibration curve indicated an excellent correlation between predicted and actual results（P=0.278）.Conclusion The above individualized nomogram model for predicting the risk of CIN patients has an excellent resolution.It has guiding significance for screening high-risk population with CIN among T2 DM patients undergoing PCI and formulating intervention strategies. |
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| ISSN: | 1671-2390 |