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Inflammatory Markers and Contrast-Induced Nephropathy Risk: A Meta-Analysis of NLR and PLR in ACS Patients Undergoing
Hashim M AlHammouri1, Osama Mustafa1,2, Nour Mash'al1
1Faculty of Medicine, University of Jordan, Amman, Jordan.
Insights
Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) can help predict contrast-induced nephropathy (CIN) risk in patients undergoing percutaneous coronary intervention (PCI). These simple biomarkers aid in identifying high-risk individuals for targeted prevention strategies.
Area of Science:
- Cardiology
- Nephrology
- Biomarker Research
Background:
- Contrast-induced nephropathy (CIN) is a significant complication following percutaneous coronary intervention (PCI), particularly in acute coronary syndrome (ACS) patients.
- Predicting CIN remains challenging despite known risk factors.
- Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are emerging as potential biomarkers due to their association with inflammation and coagulation.
Purpose of the Study:
- To evaluate the diagnostic value of preprocedural NLR and PLR in predicting CIN risk among PCI patients with ACS.
- To clarify the association between NLR, PLR, and CIN development in this patient cohort.
Main Methods:
- A meta-analysis was conducted on data from 25 studies, encompassing 25,505 patients.
- The association between preprocedural NLR and PLR levels and CIN risk was analyzed.
- Diagnostic accuracy was assessed using odds ratios (OR), sensitivity, specificity, and area under the curve (AUC).
Main Results:
- Elevated preprocedural NLR and PLR were significantly linked to increased CIN risk in ACS patients.
- NLR showed a pooled OR of 1.21 for CIN in ACS patients (AUC 71%), with stronger associations in non-STEMI (NSTEMI) subgroups (OR 2.03, AUC 79%).
- PLR also demonstrated a significant association with CIN in ACS patients (OR 1.16, AUC 67%) and ST-segment elevation myocardial infarction (STEMI) populations (OR 1.34, AUC 66%).
Conclusions:
- Preprocedural NLR and PLR are cost-effective biomarkers for predicting CIN risk in ACS patients undergoing PCI, especially NSTEMI patients.
- These markers can aid in early identification of high-risk patients for tailored preventive measures.
- The moderate diagnostic performance necessitates further research for more specific and sensitive biomarkers.
Background:
Contrast-induced nephropathy (CIN) is a serious complication after percutaneous coronary intervention (PCI), especially in acute coronary syndrome (ACS) patients. While risk factors are known, predicting CIN remains difficult. New biomarkers like the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are gaining attention as potential predictors due to their links with inflammation and coagulation.
Aims:
This meta-analysis examines whether NLR and PLR can predict CIN risk in PCI patients with ACS, aiming to clarify their diagnostic value.
Methods:
We analyzed data from 25 studies with 25,505 patients, looking at the link between preprocedural NLR and PLR and CIN risk. We calculated odds ratios (OR), sensitivity, specificity, and area under the curve (AUC) values to assess diagnostic accuracy.
Results:
A total of 25,505 patients from 25 studies were included. Elevated preprocedural NLR and PLR were significantly associated with increased CIN risk. In the ACS population, 15 studies demonstrated that NLR was significantly associated with increased odds of CIN, with a pooled OR of 1.21 (95% confidence interval (CI): 1.12 to 1.30, p < 0.001). Receiver operating characteristic analysis showed moderate sensitivity (72%), specificity (60%), and an AUC of 71%. Similar trends were observed in ST-segment elevation myocardial infarction (STEMI). The non-STEMI (NSTEMI) subgroup showed a stronger association, with a pooled OR of 2.03 (95% CI: 1.13 to 3.65, p = 0.02), moderate to good diagnostic accuracy (AUC 79%), and higher sensitivity (77%) and specificity (73%). For PLR, significant associations with CIN were found in the ACS population (OR: 1.16, 95% CI: 1.04 to 1.30, p = 0.007), with moderate diagnostic accuracy (AUC: 0.67, 95% CI: 0.61 to 0.73). In the STEMI population, PLR was also significantly associated with CIN (OR: 1.34, 95% CI: 1.14 to 1.57, p < 0.001), but diagnostic accuracy was lower (AUC: 0.66, 95% CI: 0.59 to 0.74). Limited data from the NSTEMI population showed a moderate association (AUC: 0.68, 95% CI: 0.64 to 0.72), indicating fair diagnostic accuracy.
Conclusion:
Preprocedural NLR and PLR are simple, cost-effective biomarkers for predicting CIN risk in ACS, especially among NSTEMI patients undergoing PCI. These markers can facilitate earlier identification of high-risk patients and enable targeted preventive strategies. However, their moderate diagnostic performance highlights the need for the development of more specific and sensitive biomarkers.
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