Predictive value of lymphocyte-to-monocyte ratio in patients with contrast-induced nephropathy after percutaneous coronary intervention for acute coronary syndrome

Karaüzüm, İrem; Karaüzüm, Kurtuluş; Açar, Burak; Hanci, Kaan; Bildirici, Halil ibrahim Ulas; Kılıç, Teoman; Ural, Ertan

doi:10.2478/jtim-2021-0024

Cited by 13 publications

(10 citation statements)

References 46 publications

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“…However, in our study, there was no significant association between the N/LP ratio and CIN. Recent studies also showed that MLR was an independent predictor of coronary inflammation and could be a good prognostic indicator of CIN in the acute coronary syndromes [20,21]. Complying with the last-cited study results about MLR and CIN, in our study, MLR was an independent predictor of CIN in the acute coronary syndromes.…”

Section: Discussionsupporting

confidence: 83%

“…The N/LP ratio predicts acute renal failure after abdominal surgery and cardiovascular surgery [18,19]. MLR and MPV to lymphocyte ratio (MPVLR) is also found as a good inflammatory marker in acute coronary syndromes and is a predictor of contrast-induced nephropathy [20,21]. Platelet to white blood cell count (P/WBC), is also a new inflammatory prognostic parameter predicting mortality in HBV-associated decompansated cirrhosis [22].…”

Section: Introductionmentioning

confidence: 99%

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A comparison of on-admission blood cell count-derived parameters on the development of contrast-induced nephropathy in acute coronary syndromes

Celik¹

2023

Med-Science

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Contrast-induced nephropathy (CIN) is a clinical entity closely associated with cardiac mortality and morbidity. We aimed to investigate the relationship between CIN after acute coronary syndrome and other bio-inflammatory parameters (Neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, monocyte/lymphocyte ratio) as well as biomarkers such as AST/ALT, SIRI (Systemic Immnun Response Index), AISI (Aggregate Index of Systemic Inflammation), APRI (AST to platelet ratio index), SII (Systemic Immun Inflammation Index) NLR (Neutrophil to lymphocyte ratio), N/LPR (Neutrophil/ (lymphocyte x platelet), PLR (Platelet to lymphocyte ratio), MLR (Monocyte to lymphocyte ratio) and MPVLR (Mean platelet volume to lymphocyte ratio). In this retrospective cross-sectional study, we included 228 patients older than 18 years of age and underwent coronary angiography for acute coronary syndrome between January 2021 and May 2022. We applied the logistic regression analyzes to evaluate the relationship between patients' demographic, clinical characteristics, laboratory parameters, and contrast-induced nephropathy, and to evaluate the predictive power of the AST/ALT, AISI, SIRI, SII, NLR, PLR, MLR, N/LP ratio, MPVLR and other inflammatory based parameters on this primary endpoint. In the univariate analyses, prior history of coronary artery bypass, acute coronary syndrome type, prior ACEi/ARB usage, white blood cell count, hospitalization stay length, contrast amount, MLR, PLR, white blood cell to platelet ratio (WBCPR) were significantly associated with CIN. [p:0.039, p:0.017, p:0.025, p:0.044, p<0.001, p:0.003, p: 0.045, p: 0.044, p:0.044, respectively]. However, multivariable logistic regression analysis showed that WBCPR [OR 0.00 (95% CI 0.00- 0.01) p:0.005] and MLR [OR 13.522 (95% CI 2.15-84.72) p:0.005] might be statistically a significant independent predictor of CIN beside contrast amount [OR 1.92 (95% CI 01.23-3.02) p:0.004]. The WBCPR can be a new valuable independent predictor of CIN. Also, MLR and contrast amount may be a good independent predictor of CIN in acute coronary syndrome.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

A comparison of on-admission blood cell count-derived parameters on the development of contrast-induced nephropathy in acute coronary syndromes

Celik¹

2023

Med-Science

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“…The score includes serum albumin and total cholesterol, which can be strongly impacted by a patient’s previous lifestyle’s nutritional status. It also includes NLR and LMR, 32 both indicators of the inflammatory state, encompassing the inflammatory aspect of AKI progression following STEMI. Furthermore, these factors are independently noteworthy in their potential to predict AKI development.…”

Section: Discussionmentioning

confidence: 99%

Predictive Value of the Naples Prognostic Score for Acute Kidney Injury in ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention

Karakoyun

Çağdaş²,

Çelik³

et al. 2023

Angiology

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The purpose of this investigation was to investigate whether there was an association between the Naples prognostic score and the development of acute kidney injury (AKI) in ST-elevation myocardial infarction (STEMI) patients following primary percutaneous coronary intervention (pPCI). The study comprised 2901 consecutive STEMI patients who had pPCI. For each patient, the Naples prognostic score was determined. To evaluate the predictive performance of the Naples score (which included either continuous and categorical variables), we developed a Nested model and a nested model combined with the Naples score. The Naples prognostic score was the most significant predictor of AKI occurrence after admission creatinine, age, and contrast volume. The continuous Naples prognostic score model provided the best prediction performance and discriminative ability. The C-index of the Nested and full models with continuous Naples prognostic score were significantly higher than that of the Nested model. The decision curve analysis found that the overall model had a higher full range of probability of clinical net benefit than the baseline model, with a 10% AKI likelihood. The present study found that the Naples prognostic score may be useful to predict the risk of AKI in STEMI patients undergoing pPCI.

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“…Therefore, more research is needed to validate the model's applicability to other races. Third, the selection of variables in this study was based only on the available literature and our clinical experience, and it is possible that some variables were overlooked, such as new markers of in ammation [39]. Finally, all biomarkers were collected immediately after cardiac surgery.…”

Section: Discussionmentioning

confidence: 99%

Combining cardiac and renal biomarkers to establish a clinical early prediction model for Cardiac surgery-associated acute kidney injury: a prospective observational study

Li,

Wu,

Lei

et al. 2023

Preprint

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Background Cardiac surgery-associated acute kidney injury (CS-AKI) is common and associated with poor outcomes. Early prediction of CS-AKI remains challenging. Currently available biomarkers for AKI are serum cystatin C (sCysC) and urinary N-acetyl-β-D-glucosaminidase (uNAG), and common cardiac biomarkers are N-terminal pro B-type natriuretic peptide (NT-proBNP) and cardiac troponin I (cTNI). This study aimed to evaluate the efficacy of these biomarkers in predicting CS-AKI. Methods Adult patients after cardiac surgery were included in this prospective observational study. The clinical prediction model of CS-AKI was established by the least absolute shrinkage and selection operator (LASSO) regression, and the discriminative ability of the model was evaluated by using the area under the curve of the receiver operating characteristic (AUC-ROC), decision curve analysis (DCA), and calibration curves. The risk nomogram was plotted, and the validation cohort was constructed for external validation. Results In the modeling cohort of 689 and the validation cohort of 313, the incidence of CS-AKI was 29.2% and 39.6%, respectively. Predictors screened by LASSO included age, history of hypertension, baseline serum creatinine, coronary artery bypass grafting combined with valve surgery, cardiopulmonary bypass duration, preoperative albumin, hemoglobin, postoperative NT-proBNP, cTNI, sCysC, and uNAG. The ROC-AUC of the constructed clinical prediction model in the modeling cohort and validation cohort were 0.830 (0.800–0.860) and 0.840 (0.790–0.880), respectively, and the calibration and DCA showed good fit and clinical benefit. Conclusions A clinical early prediction model consisting of the immediately postoperative renal biomarkers sCysC and uNAG and the cardiac biomarkers NT-proBNP and cTNI could improve the predictive accuracy of CS-AKI.

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Predictive value of lymphocyte-to-monocyte ratio in patients with contrast-induced nephropathy after percutaneous coronary intervention for acute coronary syndrome

Cited by 13 publications

References 46 publications

A comparison of on-admission blood cell count-derived parameters on the development of contrast-induced nephropathy in acute coronary syndromes

A comparison of on-admission blood cell count-derived parameters on the development of contrast-induced nephropathy in acute coronary syndromes

Predictive Value of the Naples Prognostic Score for Acute Kidney Injury in ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention

Combining cardiac and renal biomarkers to establish a clinical early prediction model for Cardiac surgery-associated acute kidney injury: a prospective observational study

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