Mehran risk score model for predicting contrast-induced nephropathy after cardiac resynchronization therapy in patients with heart failure

0Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Aims: Contrast-induced nephropathy (CIN) is a challenging condition after cardiac procedures. Mehran risk score (MS) is a simple tool for predicting CIN. We investigated the role of MS to predict CIN development following cardiac resynchronization therapy (CRT) implantation in heart failure (HF) patients. Methods: This single-center, retrospective study included HF patients who underwent CRT implantation. The patients had New York Heart Association class II-IV disease, wide QRS in electrocardiogram (>130 ms), and diminished left ventricular ejection fraction (<35%). Patients with active bleeding, acute renal failure before the CRT procedure, liver cirrhosis, autoimmune disease, chronic or acute inflammatory diseases, end-stage malignancy, and receiving dialysis were excluded. Mehran CIN risk score was calculated using the patient records. Results: The study included 144 patients (age, mean±standard deviation: 63±10, male sex: 75%). Patients who developed CIN had significantly higher MS than those who did not (10.4±3.3 vs. 7.6±2.7, p<0.001). Multivariate logistic regression analyses showed that contrast volume [Odds ratio (OR): 1.02, 95% confidence interval (CI): 1.00-1.04, p=0.029] and MS (OR: 1.34 95% CI: 1.10-1.63, p=0.004, respectively) were independently associated with development of CIN. Conclusions: This study showed that higher MS was independently associated with CIN in HF patients who underwent CRT implantation

Cite

CITATION STYLE

APA

Erdol, M. A., Ertem, A., Özkan, A. C., Özbay, M., Erdoğan, M., Demirtaş, K., … Topaloğlu, S. (2022). Mehran risk score model for predicting contrast-induced nephropathy after cardiac resynchronization therapy in patients with heart failure. Gulhane Medical Journal, 64(1), 40–46. https://doi.org/10.4274/gulhane.galenos.2021.41861

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free