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Published on: March 11, 2016
The association between hemogram parameters and the development of contrast-induced nephropathy in patients
Esra Dönmez1, Sevgi Özcan1, İrfan Şahin1
1Department of Cardiology, Bağcılar Training and Research Hospital, Bağcılar, İstanbul, Türkiye.
Insights
Mean platelet volume (MPV) and neutrophil/lymphocyte ratio (NLr) can predict contrast-induced nephropathy (CIN) in non-ST segment elevation myocardial infarction (non-STEMI) patients undergoing percutaneous coronary intervention (PCI). These hematological markers, combined with traditional risk factors, offer a promising approach for CIN risk assessment.
Area of Science:
- Cardiology
- Nephrology
- Hematology
Background:
- Hemogram parameters like MPV and NLr are established inflammatory indicators in cardiovascular diseases.
- Contrast-induced nephropathy (CIN) is a significant complication following percutaneous coronary intervention (PCI).
Purpose of the Study:
- To investigate the predictive role of hemogram parameters for CIN development in patients with non-ST segment elevation myocardial infarction (non-STEMI) undergoing PCI.
- To identify specific hematological markers that can aid in early CIN risk stratification.
Main Methods:
- Retrospective analysis of 387 patients diagnosed with non-STEMI who underwent PCI between 2017 and 2020.
- Multivariate logistic regression analysis was employed to identify independent risk factors for CIN development.
- Assessment of hemogram parameters including MPV and NLr, alongside traditional risk factors such as age, diabetes, and heart failure.
Main Results:
- Advanced age, diabetes mellitus, congestive heart failure, contrast volume, MPV, and NLr were identified as independent risk factors for CIN.
- MPV and NLr demonstrated significant association with CIN development (p=0.02 and p=0.001, respectively).
- Specific cut-off values for NLr (5.5) and MPV (9.05) showed notable sensitivity and specificity in predicting CIN.
Conclusions:
- Routine hematological parameters, specifically MPV and NLr, are valuable predictors of CIN in non-STEMI patients undergoing PCI.
- These markers can enhance CIN risk assessment when used alongside conventional risk factors.
- MPV and NLr represent a promising, accessible tool for improving CIN prediction and patient management.
Objectives:
Hemogram parameters such as mean platelet volume (MPV), neutrophil/lymphocyte ratio (NLr), red cell distribution width and platelet distribution width are widely used inflammatory indicators to assess prognosis in various cardiovascular diseases. In this study, we aimed to investigate the role of hemogram parameters to predict the development of contrast-induced nephropathy (CIN) in patients presenting with non-ST segment elevation myocardial infarction (non-STEMI) and treated with percutaneous coronary intervention (PCI).
Methods:
All pateints who underwent PCI with a diagnosis of non-STEMI between 2017 and 2020 in our center were included retrospectively in this study.
Results:
A total of 387 patients were included in this retrospective study. Advanced age (p=0.001, β:0.005, OR [95 % CI]: 0.002-0.007), diabetes mellitus (p=0.013, β:0.205, OR [95 % CI]: 0.150-0.260), congestive heart failure (p=0.009, β:0.095, OR [95 % CI]: 0.024-0.166), volume of contrast medium (p=0.008, β:0.241, OR [95 % CI]: 0.184-0.392), MPV (p=0.02, β:0.047, OR [95 % CI]: 0.028-0.065) and NLr (p=0.001, β:0.052, OR [95 % CI]: 0.040-0.063) were found as independent risk factors associated with CIN development according to multivariate logistic regression analysis. A cut off value of 5.5 for NLr was associated with 79.6 % sensitivity and 79.5 % specificity and 9.05 for MPV was associated with 64.1 % sensitivity and 58.7 % specificity in prediction of CIN development.
Conclusions:
Hematological parameters, assessed by routine blood count analysis may serve as a promising and useful marker for CIN especially when used in combination with traditional risk factors. MPV and NLr were demonstrated as predictors of CIN development in non-STEMI patients who were treated with PCI in our study.
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