Methods: Between December 2011 and April 2012, 210 consecutive patients who underwent isolated CABG surgery in our clinic were prospectively analyzed. The baseline characteristics of the patients and preoperative neutrophil/ lymphocyte ratio were determined. The postoperative follow-up was 86.1±38.9 days. The primary endpoint was all-cause mortality.
Results: Eight patients (3.8%) died of whom four deaths occurred during the first 30 days of follow-up. Univariate analyses revealed a significant difference in the preoperative neutrophil/lymphocyte ratio between the groups in which mortality was seen and the group in which no mortality was observed (p=0.037). The Receiver operating characteristic (ROC) curve showed a threshold value of 2.81 for neutrophil/lymphocyte ratio (AUC=0.72, sensitivity: 75%, specificity: 67%). Logistic regression analysis of the variables with significant differences between two groups revealed that the neutrophil/lymphocyte ratio over its threshold value was an independent predictor for mortality (OR 6.47, 95% CI 1.18-35.38, p=0.031).
Conclusion: Neutrophil/lymphocyte ratio, which can be easily calculated, can be used as an independent factor in predicting early mortality following CABG surgery.
The inflammatory process in the pathogenesis of atherosclerosis is a well-known entity.[3] There are vast numbers of reports in the literature about the biomarkers of inflammation and their association with cardiovascular risk.[4] The total white blood cell count (WCC) has been shown to be a predictor of mortality after CABG.[5,6] However, it has been demonstrated that measurements of specific subtypes of WCCs and their ratios have more predictive value than the WCC count alone.[7,8] The neutrophil-to-lymphocyte ratio (NLR) is such a measurement instrument, and it has been determined to be a potentially useful biopredictor of inflammation in cardiovascular diseases.[9]
The aim of this study was to evaluate the correlation between the NLR and in-hospital mortality along with major adverse cardiac events (MACE) after CABG surgery.
The baseline clinical data, New York Heart Association (NYHA functional class, cardiovascular risk factors, medical history, and the EuroSCORE II were obtained prospectively. Preoperative blood samples were used for the baseline data, and additional blood samples were also obtained at the postoperative first and second days. The total WBC analysis, including differential leukocyte count, was measured using the Sysmex SE 9500 automated flow counter (Roche Diagnostics, Mannheim, Germany). Furthermore, the total WCC along with the neutrophil and lymphocyte counts were recorded preoperatively, and the NLR was also calculated.
The primary end-point was all-cause in-hospital mortality following surgery. Postoperative mortality was defined as death any time after the surgery during the hospital stay, and MACE included events such as postoperative MI, reoperation due to hemodynamic instability, and early repeated revascularization. Postoperative MI was defined as the occurrence of a creatine kinase myocardial band (CK-MB) along with troponin I levels five times above the upper normal limits troponin I level above 15 ng/ml at postoperative day one and above 35 ng/ml at postoperative day two and/or new electrocardiographic changes.[10] Combined adverse events were defined as all-cause mortality, postoperative MI, reoperation, prolonged ventilation, prolonged intensive care unit (ICU) and hospital stay, and rehospitalization for any cardiac cause.
Statistical analyses
Normally distributed continuous variables were
expressed as mean ± standard deviation (SD) or median
values with an interquartile range if not normally
distributed. Categorical variables were expressed as
numbers and percentages. Demographic characteristics,
perioperative variables, and calculated values were
compared using an independent samples t-test or the
Mann-Whitney U test for continuous variables and a chisquare
test or Fisher’s exact test for categorical variables.
Correlations were assessed using Pearson’s correlation
test. Receiver-operating characteristic (ROC) curve
analysis was used to determine the optimum cut-off
levels of the preoperative NLR to predict mortality. The
odds ratios (ORs) and 95% confidence intervals (CIs)
were estimated with different logistic regression models
that were created to determine independent predictors
of mortality. A p value of <0.05 was considered to be
statistically significant, and all statistical analyses were
performed using the SPSS for Windows version 15.0
statistical software program (SPSS Inc., Chicago, IL,
USA).
The deaths occurred in predominantly male patients (not significant) who were notably older (p=0.007) and had greater preoperative risk scores (p=0.006). Neither the total WCC nor the neutrophil count was associated with mortality, but the reduced lymphocyte count (p=0.035) and increased NLR (p=0.043) were associated with an increased risk of death (Table 1). The cardiopulmonary bypass (CPB) duration was higher in the patients who died, but there was no significant correlation (p=0.054).
Table 1: Preoperative and operative characteristics of patients versus overall mortality
The ROC curves for the NLR were connected with mortality following CABG. The area under curve (AUC) for the preoperative NLR was 0.72 (95% CI 0.55- 0.88; p=0.038). Using a cut-off value of 2.81, the preoperative NLR predicted mortality with a sensitivity of 75% and specificity of 67%. When the study population was divided into two groups using a cut-off value of 2.81, the OR for patients with a NLR greater than 2.81 was calculated as 6.04 (95% CI 1.19- 30.76; p=0.015; x2=5.94). In addition, a higher NLR was associated with prolonged hospital stay (p=0.021). When the risk factors for CAD were evaluated, there were no significant differences the between the patients, except for those with hyperlipidemia (p=0.012) (Table 2). However, the EuroSCORE values of the patients were statistically significantly different among the groups (p=0.002).
Table 2: Patient characteristics and outcomes with regard to the neutrophil-to-lymphocyte ratio
Furthermore, there was a strong correlation between CPB duration, aortic cross-clamp time (r=0.869; p<0.001), and number of bypass grafts (r=0.663; p<0.001). The NLR, a measured value, and was related to the neutrophil and lymphocyte counts. Therefore, the NLR and CPB duration were entered into the subsequent multivariate regression models. The EuroSCORE was included in the regression model since it is used to comprehensively evaluate preoperative data. In the logistic regression model, which included the preoperative total WCC, the preoperative NLR, EuroSCORE, and CPB duration, the only independent predictors of mortality were the NLR (OR 1.59 per unit; 95% CI 1.02-2.45; p=0.036) and the CPB duration (OR 1.25 per 10 min; 95% CI 1.01-1.56; p=0.041) (Table 3).
Table 3: Multivariate predictors of mortality
In a subgroup of the patients with a normal WCC (≤9.7 x109/L, n=172), the preoperative NLR cut-off value of 2.81 remained a strong univariate independent predictor of mortality (OR 6.84; 95% CI 1.33-35.07; p=0.021). In similar multivariate models, the preoperative NLR >2.81 was associated with a sixfold increase in the risk of mortality (OR 6.29; 95% CI 1.01-39.19; p=0.049) in a model that included the total WCC, EuroSCORE, and CPB duration.
The purpose of employing risk stratification systems and biopredictors is to estimate adverse events prior to surgery. Besides the EuroSCORE systems, new markers have also been announced. The total leukocyte count was one of the first biopredictors that was speculated to be related to mortality. Bagger et al.[5] in their huge series of 2,058 patients identified preoperative increased WCC as a predictor of mortality within 30 days following CABG surgery. Furthermore, in a series of 3,024 patients, Newall et al.[6] documented the relationship between preoperative WCC and perioperative myocardial damage along with one-year mortality and found that WCC was a short-term prognostic marker. However, it is known that the leukocyte count is a nonspecific marker and that it increases due to a variety of events. Therefore, its reliability as a stand-alone marker is suspicious, despite the results of these large series. Unlike these findings, Gibson et al.,[9] as upporter of specific cell count and ratio analysis, in their series of 1,938 patients revealed no relationship between WCC and mortality. In addition, we also believe that more specific subtypes and ratios should be considered, and without any bias of opinion, we determined that mortality was not associated with WCC in our study.
With a tendency toward finding more specific markers, studies on the determination of specific cell types and the measurement of ratios has gained popularity. The relationship between cardiovascular diseases and decreased neutrophil counts was defined long ago,[20] and t he connection between the worstcase prognosis of lymphopenia and lymphocytosis, which has a longer survival rate, was also previously documented.[9,21] In our study, we did not discover increased mortality with decreased neutrophil counts, but we did document increased mortality with decreased lymphocyte counts.
Besides these biomarkers, the NLR has more recently come to the forefront. It provides an indicator of inflammatory status that combines neutrophilia and lymphopenia, which are associated with the worst cardiovascular prognoses.[22] We also know that neutrophils produce a variety of inflammatory mediators and reactive oxygen species (ROS) within the myocardium during CPB.[23] In large series, the possible relationship between the NLR and mortality following CABG surgery has been studied in detail. Gibson et al.[9] who were pioneers in this field, demonstrated that the preoperative NLR inferred from differential WCC was prognostic for survival after CABG, but it was independent of well-recognized individual risk factors and the EuroSCORE. Its predictive role in acute coronary syndrome (ACS) has also been documented.[24] In our study, the increased NLR (cut-off: 2.81) in conjunction with the decreased lymphocyte counts predicted mortality. The hospital stay was also longer in patients with an NLR above 2.81, but this may have be related to the longer stay of the patients who died. Moreover, the EuroSCORE values were higher in the patients with an NLR over 2.81, but we did not document their predictive role in MACE or combined adverse events.
We believe that more than a simple causation should exist with regard to the predictive role of the NLR. Therefore, in the logistic regression model, we documented that the NLR is predictive independent of other risk factors, including the EuroSCORE, and this was consistent with the findings in other studies.[9,24,25]
One of the major limitations of our study was that it was comprised of a relatively low number of cases from a single center. Furthermore, there was a lack of long-term data. The short-term follow-up that we conducted may not be reliable enough to make such a definitive conclusion. Another important limitation was the inclusion of patients with elevated leukocyte counts without any demonstrable cause. To overcome this, we performed a subgroup analysis of the patients with normal WCCs, and this verified that an NLR above 2.81 was an independent predictor of mortality with an OR of 6.29.
In conclusion, we believe that the NLR is a very practical and easily measured parameter that can be derived from simple laboratory measurements related to defining mortality following CABG. It is independent of well-known risk factors, including the EuroSCORE system, which is still the most valid tool for assessing operative mortality.
Declaration of conflicting interests
The authors declared no conflicts of interest with
respect to the authorship and/or publication of this
article.
Funding
The authors received no financial support for the
research and/or authorship of this article.
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