Literature DB >> 27548384

Prognostic Utility of Neutrophil-to-Lymphocyte Ratio on Adverse Clinical Outcomes in Patients with Severe Calcific Aortic Stenosis.

Kyoung Im Cho1, Sang Hoon Cho2, Ae-Young Her3, Gillian Balbir Singh4, Eun-Seok Shin4.   

Abstract

BACKGROUND: Inflammation is an important factor in the pathogenesis of calcific aortic stenosis (AS). We aimed to evaluate the association between an inflammatory marker, neutrophil-to-lymphocyte ratio (NLR) and major adverse cardiovascular events (MACE) in patients with severe calcific AS.
METHODS: A total of 336 patients with isolated severe calcific AS newly diagnosed between 2010 and 2015 were enrolled in this study. Using Cox proportional hazards (PH) regression models, we investigated the prognostic value of NLR adjusted for baseline covariates including logistic European System for Cardiac Operative Risk Evaluation score (EuroSCORE-I) and undergoing aortic valve replacement (AVR). We also evaluated the clinical relevance of NLR risk groups (divided into low, intermediate, high risk) as categorized by NLR cutoff values. MACE was defined as a composite of all-cause mortality, cardiac death and non-fatal myocardial infarction during the follow-up period.
RESULTS: The inflammatory marker NLR was an independent prognostic factor most significantly associated with MACE [hazard ratio (HR), 1.06; 95% confidence interval (CI), 1.04-1.09; p-value <0.001]. The goodness-of-fit and discriminability of the model including EuroSCORE-I and AVR (loglikelihood difference, 15.49; p-value <0.001; c-index difference, 0.035; p-value = 0.03) were significantly improved when NLR was incorporated into the model. The estimated Kaplan-Meier survival rates at 5 years for the NLR risk groups were 84.6% for the low risk group (NLR ≤ 2), 67.7% for the intermediate risk group (2 < NLR ≤ 9), and 42.6% for the high risk group (NLR > 9), respectively.
CONCLUSION: The findings of the present study demonstrate the potential utility of NLR in risk stratification of patients with severe calcific AS.

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Year:  2016        PMID: 27548384      PMCID: PMC4993489          DOI: 10.1371/journal.pone.0161530

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Calcific aortic stenosis (AS) represents a major public health burden associated with progressively increasing morbidity and mortality [1, 2]. This is especially so with a rapidly aging global society and the relatively high prevalence of AS being observed among the elderly. A novel approach enabling the risk stratification of AS patients would undoubtedly furnish an invaluable tool to greatly facilitate clinical decisions. Recent endeavors towards researching the complex abnormalities in risk stratification of AS patients have identified several potential biomarkers. Overall however, there remains a lack of biomarkers to complement the prognostic use of simple risk scores, although levels of natriuretic peptides [3] and high-sensitivity troponin may have a predictive role in AS. There is an association between inflammation and remodeling of calcific aortic valve disease where inflammation and calcification are believed to play key roles in the disease [4]. Although high-sensitivity C-reactive protein (hs-CRP), a marker of systemic inflammation, may have a role in identifying patients in the early stages of calcific AS [5], there are conflicting study results with respect to the association between hs-CRP level and prognosis of calcific AS [6, 7]. Currently, neutrophil-to-lymphocyte ratio (NLR), a simple and inexpensive method for assessing inflammation, is being investigated as a new predictor of cardiovascular risk as an important inflammatory marker [8, 9]. Recent meta-analysis indicates that NLR is a predictor of all-cause mortality and cardiovascular events [10]. Furthermore, NLR has been identified as an independent factor associated with coronary calcium score [11]. The objective of this study was to investigate the prognostic value of NLR as an independent predictor for adverse clinical outcomes in patients with severe calcific AS and additionally evaluate the clinical relevance of NLR in stratifying AS patients into heterogeneous risk groups.

Methods

Study population

A total of 336 symptomatic or asymptomatic patients newly diagnosed with isolated severe calcific AS between January 2010 and January 2015 were retrospectively enrolled in this study from two university hospitals in South Korea. The definition of severe calcified AS was based on the American Society of Echocardiography (ASE) guidelines (peak velocity ≥4 m/s or mean pressure gradient (PG) > 40 mm Hg in the presence of normal left ventricular (LV) function or calculated aortic valve area (AVA) <1.0 cm2) [12]. In cases where LV systolic dysfunction co-existed with mean PG 30–40 mmHg and AVA of 1.0 cm2 (low-flow low-gradient AS), dobutamine stress echocardiography was used to discriminate severe calcific AS causing LV systolic dysfunction (n = 25). Patients with systemic diseases and those on treatment with agents affecting white blood cell count including patients with hematological disorders, malignancies, chemotherapy treatment, evidence of concomitant inflammatory disease, acute infection, chronic inflammatory conditions, history of corticosteroid therapy in the preceding 3 months, prior valve replacement surgery, secondary hypertension or end-stage renal disease on dialysis were excluded from this study. In addition, patients with valvular disease in valves other than aortic valve (AV) such as bicuspid AV, rheumatic AS or severe regurgitation of valves were excluded. Clinical risk factors (age, sex, diabetes mellitus, hypertension, hyperlipidemia, smoking status) and New York Heart Association (NYHA) functional class were analyzed by retrospective chart review. European System for Cardiac Operative Risk Evaluation score (EuroSCORE-I) was calculated in each patient via available online tools (http://www.euroscore.org) in order to reflect coexisting clinical risk [13]. This study complies with the Declaration of Helsinki and was approved by the Ulsan University Hospital Institutional Review Board with written informed consent obtained from all participants.

Laboratory analysis

Complete blood counts, which included total white blood cells, neutrophils, lymphocytes, and platelets as well as echocardiography were obtained at the time of admission as part of routine clinical work-up. Liver enzymes, glucose, creatinine, lipid profiles, N-terminal proBNP (NT- proBNP), and hs-CRP were also measured in all patients. NT-proBNP was measured using immunoradiometric assays with a commercial kit for BNP (COBAS 6000 E601 module, Roche Diagnostics HITACH HIGH TECH CORP., Indianapolis, IN, USA), and hs-CRP was measured using fully automated turbid immunometry (Advia 1800, Siemens). NLR was calculated as the ratio of neutrophil count to lymphocyte count.

Echocardiography

Echocardiographic assessments were performed using a Sonos 5500 system (Philips Medical Systems, Bothell, WA) with standardized imaging techniques. A comprehensive echocardiographic examination including M-mode echocardiography, two-dimensional echocardiography, and conventional and color Doppler ultrasonography were performed according to European Society of Echocardiography and ASE criteria [12]. The peak velocity across the valve was measured with continuous-wave Doppler from the window with the strongest velocity signal. AVA was calculated using the continuity equation, and ejection fraction (EF) was calculated using the biplane Simpson method. Measurements of thicknesses of interventricular septum and posterior wall, diameter of the LV cavity, and LV mass index (LVMI) were calculated from the ratio between LV mass. Body mass index (BMI) was also calculated.

Clinical outcomes and definitions

The endpoint of the study was major adverse cardiovascular events (MACE) in the follow-up period defined as a composite of all-cause mortality, cardiac death and non-fatal MI. Intra-operative deaths as well as deaths during the follow-up periods were included in the analysis. Deaths were classified as cardiac or non-cardiac following review of medical records, including autopsy records and death certificates, which were available for all cases. Nonfatal MI was defined using the definitions of the European Society of Cardiology, American College of Cardiology, American Heart Association, and World Heart Federation [14].

Statistical analysis

Differences in baseline characteristics between patient groups (with MACE and without MACE) were tested using t-statistics for continuous variables. In the case of categorical variables, we applied the chi-square test if expected frequencies equal at least 5; otherwise, the Fisher exact test was utilized. Cox proportional hazards (PH) regression models were employed to investigate the prognostic value of NLR adjusted by the baseline covariates including EuroSCORE-I, AVR, and NLR. The independent prognostic factors significantly associated with MACE were selected in stepwise fashion avoiding over-parameterization. The underlying proportional hazards assumptions of the Cox PH models were verified by Schoenfeld residual tests. The goodness-of-fit and discriminability of Cox PH models were assessed by likelihood ratio tests and Harrell’s c-index, respectively [15]. The confidence intervals of the C-index were constructed by the nonparametric bootstrap method [16]. Upon the verification of the prognostic value of NLR as a continuous variable, we further investigated the clinical relevance of the categorized NLR that assign patients into three risk groups (low, intermediate, high). The cutoff values for the NLR risk groups were carefully determined to minimize information loss in terms of loglikelihood difference as discretizing the continuous variable of NLR [17]. The Kaplan-Meier method was applied to estimate survival curves for categorized NLR risk groups without imposing any parametric assumption. In hypothesis testing, a significance level of 0.05 was chosen. All statistical analyses were performed using R (http://www.r-project.org).

Results

Characteristics of the study population

Among the 336 patients enrolled in the study population, 166 (49.4%) were male and the mean age of the patients was 70.1 ± 12.0 years. Fig 1 showed the detail information for the presentation of the cohort.
Fig 1

Clinical layout of severe calcific aortic stenosis (AS) cohort.

Although aortic valve replacement (AVR) was recommended according to the guideline, only 119 patients underwent AVR because of various situations.

Clinical layout of severe calcific aortic stenosis (AS) cohort.

Although aortic valve replacement (AVR) was recommended according to the guideline, only 119 patients underwent AVR because of various situations. The median follow-up time was estimated to be 33 months using the reverse Kaplan-Meier method [18]. The clinical characteristics of the study population according to the status of MACE are summarized in Table 1.
Table 1

Baseline Clinical Characteristics According to Major Cardiovascular Event.

MACE (+) (n = 82)MACE (-) (n = 254)p-value
Age, years72.3 ± 10.469.4 ± 12.40.014
BMI, kg/m222.7 ± 3.1023.6 ± 3.100.034
Male, n (%)38 (46.3%)128 (50.4%)0.609
Systolic BP, mmHg126.5 ± 24.1126.9 ± 20.10.909
Diastolic BP, mmHg72.0 ± 15.471.4 ± 12.60.806
Current smoker, n (%)14 (17.1%)35 (13.8%)0.579
Hypertension, n (%)36 (43.9%)119 (46.9%)0.735
Diabetes mellitus, n (%)17 (20.7%)59 (23.2%)0.750
Dyslipidemia, n (%)17 (20.7%)74 (29.1%)0.178
Previous CVA, n (%)9 (11.0%)28 (11.0%)1.000
Significant CAD, n (%)18 (22.0%)37 (14.6%)0.162
Previous PCI14 (17.1%)18 (7.1%)0.014
EuroSCORE-I8.5 ± 9.46.0 ± 5.80.024
NYHA functional class, n (%)0.162
    Class I22 (26.8%)83 (34.0%)
    Class II26 (31.7%)87 (35.7%)
    Class III21 (25.6%)54 (22.1%)
    Class IV13 (15.9%)20 (8.2%)
Aortic valve replacement, n (%)21 (25.6%)98 (38.6%)0.045

Values are means ± SDs for continuous variables or frequencies (percentages) for categorical variables.

BMI, body mass index; BP, blood pressure; CAD, coronary artery disease; CVA, cerebrovascular accident; MACE, major adverse cardiovascular event; NYHA, New York Heart Association; PCI, percutaneous coronary intervention

Values are means ± SDs for continuous variables or frequencies (percentages) for categorical variables. BMI, body mass index; BP, blood pressure; CAD, coronary artery disease; CVA, cerebrovascular accident; MACE, major adverse cardiovascular event; NYHA, New York Heart Association; PCI, percutaneous coronary intervention Compared to the patient group with no MACE occurrence (MACE (-)), the patient group with MACE (MACE (+)) consisted of older patients, had lower BMI, higher heart rate and higher EuroSCORE-I, and underwent more frequent percutaneous coronary interventions and less frequent AVR (all p-values <0.05). In Table 2, the laboratory characteristics of the study population are compared between the two patient groups. Compared to MACE (-), MACE (+) showed reduced lymphocyte count and hematocrit, higher platelet density width and serum creatinine, and correspondingly lower estimated glomerular filtration rate (eGFR) (all p-values <0.05). S1 Fig showed the empirical joint and marginal distributions of lymphocyte and neutrophil depicted by a scatter plot and histograms.
Table 2

Baseline Laboratory Characteristics According to Major Cardiovascular Event.

MACE (+) (n = 82)MACE (-) (n = 254)p-value
White blood cell, x109/L8.8 ± 4.17.8 ± 3.50.049
    Neutrophil, %69.1 ± 15.066.1 ± 37.30.293
    Lymphocyte,%20.2 ± 11.625.5 ± 11.4<0.001
    Monocyte, %6.5 ± 2.97.3 ± 3.00.035
Hemoglobin, g/dL12.0 ± 4.112.2 ± 2.00.724
Hematocrit, %34.7 ± 6.036.1 ± 5.70.070
Red cell distribution width14.9 ± 2.214.4 ± 2.40.062
Platelets, x109/L220.1 ± 88.9200.5 ± 77.40.076
NLR7.1 ± 10.04.1 ± 4.70.009
hs-CRP, mg/L4.4 ± 6.72.1 ± 4.00.034
Serum creatinine, mg/dL1.7 ± 2.41.3 ± 1.40.182
eGFR, ml/min/1.73m262.0 ± 34.271.3 ± 29.40.040
Total cholesterol, mg/dL167.1 ± 42.1169.5 ± 42.30.648
LDL cholesterol, mg/dL94.4 ± 32.8100.0 ± 39.00.286
HDL cholesterol, mg/dL43.3 ± 14.645.0 ± 14.30.399
Triglycerides, mg/dl101.0 ± 89.8109.9 ± 69.80.471
NT-proBNP, ng/mL7058.0 ± 8026.23359.1 ± 6079.80.006

Values are means ± SDs for continuous variables or frequencies (percentages) for categorical variables.

NLR, neutrophil-to-lymphocyte ratio; hs-CRP, high sensitivity C-reactive protein; eGFR, estimated glomerular filtration rate according to the Modification of Diet in Renal Disease equation; LDL, low density lipoprotein;HDL, high density lipoprotein; NT-proBNP, n-terminal pro brain natriuretic peptide.

Values are means ± SDs for continuous variables or frequencies (percentages) for categorical variables. NLR, neutrophil-to-lymphocyte ratio; hs-CRP, high sensitivity C-reactive protein; eGFR, estimated glomerular filtration rate according to the Modification of Diet in Renal Disease equation; LDL, low density lipoprotein;HDL, high density lipoprotein; NT-proBNP, n-terminal pro brain natriuretic peptide. As depicted in Fig 2, significantly higher NLR, NT-proBNP, and hs-CRP values were also observed in MACE (+).
Fig 2

Neutrophil-to lymphocyte ratio (NLR), N-terminal pro-brain natriuretic peptide (NT-proBNP), and high-sensitivity C-reactive protein (hs-CRP) according to major adverse cardiovascular events (MACEs) and New York Heart Association (NYHA) functional class.

According to the echocardiographic characteristics of the study population listed in Table 3, MACE (+) had reduced AVA and LVEF, increased trans-valvular PG and left atrial diameter, and higher ratio of peak earlier mitral filling velocity to mitral annulus velocity (E/Ea) compared to MACE (-) (all p-values <0.05).
Table 3

Baseline Echocardiographic Characteristics According to Major Cardiovascular Event (MACE).

MACE (+) (n = 82)MACE (-) (n = 254)p-value
AV area, cm20.7 ± 0.20.8 ± 0.20.018
AV maximal velocity, cm/s4.5 ± 0.84.3 ± 0.80.011
AV maximal pressure gradient, mmHg84.2 ± 29.375.7 ± 27.80.023
AV mean pressure gradient, mmHg51.4 ± 19.244.1 ± 18.10.003
LVEDD, mm47.7 ± 8.046.9 ± 8.00.474
LVEDV, ml93.3 ± 39.390.6 ± 42.00.597
LVESD, mm33.4 ± 9.430.7 ± 8.60.027
LVESV, ml43.2 ± 29.936.0 ± 28.80.063
LV ejection fraction, %57.2 ± 15.063.0 ± 12.90.002
LV mass index, kg/m2160.9 ± 44.9156.8 ± 58.20.540
IVSd, mm13.5 ± 2.914.2 ± 3.60.073
PWTd, mm12.6± 2.212.4 ± 2.70.622
RWT0.5± 0.10.5± 0.20.875
Left atrial diameter, mm44.7± 8.542.5± 8.80.052
E/Ea22.5 ± 10.618.9 ± 8.90.018

Values are means ± SDs for continuous variables or frequencies (percentages) for categorical variables.

AV, aortic valve; LV, left ventricular; LVEDD, left ventricular end-diastolic diameter; LVEDV, left ventricular end-diastolic volume; LVESD, left ventricular end-systolic diameter; LVESV, left ventricular end-systolic volume; IVSd, diastolic interventricular septal wall thickness; PWTd, diastolic posterior wall thickness; RWT, relative wall thickness; E, peak early diastolic mitral filling velocity; Ea, mitral annular velocity; EF, ejection fraction.

Values are means ± SDs for continuous variables or frequencies (percentages) for categorical variables. AV, aortic valve; LV, left ventricular; LVEDD, left ventricular end-diastolic diameter; LVEDV, left ventricular end-diastolic volume; LVESD, left ventricular end-systolic diameter; LVESV, left ventricular end-systolic volume; IVSd, diastolic interventricular septal wall thickness; PWTd, diastolic posterior wall thickness; RWT, relative wall thickness; E, peak early diastolic mitral filling velocity; Ea, mitral annular velocity; EF, ejection fraction.

Prognostic value of NLR in patients with severe calcific AS

According to the Cox PH regression analysis, high EuroSCORE-I and a history of AVR were significantly associated with MACE. Also, the inflammatory variable, NLR, was the independent prognostic factor most significantly associated with MACE (hazard ratio (HR), 1.06; 95% confidence interval (CI), 1.04–1.09; p-value < 0.001; Table 4). S2 Fig showed the empirical distributions of the continuous type of variables present in Table 4 utilizing box-plots
Table 4

Cox Proportional Hazards Regression Analysis Regarding Major Cardiovascular Event.

SimpleMultivariable
HR95% CIp-valueHR95% CIp-value
Age, years1.031.01 to 1.050.004
BMI, kg/m20.920.86 to 0.990.032
Heart rate, min/sec1.011.00 to 1.020.006
EuroSCORE-I1.071.05 to 1.10<0.0011.051.03 to 1.08<0.001
PCI, n (%)2.491.39 to 4.450.002
Aortic valve replacement, n (%)0.430.26 to 0.700.0010.520.31 to 0.870.012
Lymphocyte,%0.950.93 to 0.97<0.001
Hematocrit, %0.950.91 to 0.980.004
Red cell distribution width1.101.02 to 1.170.009
NLR1.071.05 to 1.09<0.0011.061.04 to 1.09<0.001
hs-CRP, mg/L1.091.04 to 1.14<0.001
eGFR, ml/min/1.73m20.990.98 to 1.000.046
NT-proBNP, ng/mL1.001.00 to 1.00<0.001
LVESD, mm1.021.00 to 1.050.043
LV ejection fraction, %0.980.97 to 1.000.013
E/Ea1.041.01 to 1.040.002

MACE, major adverse cardiovascular event; HR, hazard ratio; CI, confidence interval; BMI, body mass index; PCI, percutaneous coronary intervention; NLR, neutrophil to lymphocyte ratio; hs-CRP, high sensitivity C-reactive protein; eGFR; estimated glomerular filtration rate; NT-proBNP; n-terminal pro brain natriuretic peptide; LVESD, left ventricular end-systolic diameter; LV, left ventricular. E, peak early diastolic mitral filling velocity; Ea, mitral annular velocity.

MACE, major adverse cardiovascular event; HR, hazard ratio; CI, confidence interval; BMI, body mass index; PCI, percutaneous coronary intervention; NLR, neutrophil to lymphocyte ratio; hs-CRP, high sensitivity C-reactive protein; eGFR; estimated glomerular filtration rate; NT-proBNP; n-terminal pro brain natriuretic peptide; LVESD, left ventricular end-systolic diameter; LV, left ventricular. E, peak early diastolic mitral filling velocity; Ea, mitral annular velocity. The likelihood and C-index estimates of Cox PH regression models are summarized in Table 5. The inflammatory variable, NLR, has the highest likelihood value and C-index among three variables including AVR, EuroSCORE-I, and NLR. The incremental effect of NLR on MACE was also demonstrated by comparing three different Cox PH regression models: Model 1 includes AVR; Model 2 includes AVR and EuroSCORE-I; Model 3 includes AVR, EuroSCORE-I, and NLR, respectively. According to the comparison between Model 2 and Model 3, NLR significantly improved the goodness-of-fit and discriminability of the Model 2 including AVR and EuroSCORE-I (loglikelihood difference, 15.49; p-value < 0.001; c-index difference, 0.035; p-value = 0.03).
Table 5

Comparison of the Goodness-of-fit and discriminability of Cox Proportional Hazards Regression Models.

Goodness-of-fitDiscriminability
LoglikDiff.p-value*C-indexDiff.95% CI+p-value+
Model 1-397.690.58
Model 2-389.080.66
Model 3-381.490.70
Model 1 vs. Model 28.61<0.0010.0790.038 to 0.1180.002
Model 1 vs. Model 316.35<0.0010.1140.068 to 0.164<0.001
Model 2 vs. Model 37.74<0.0010.0350.002 to 0.0700.033

Model 1, AVR; Model 2, AVR + EuroSCORE-I; Model 3, AVR + EuroSCORE-I + NLR; Loglik, loglikelihood; Diff., difference

C-index, Harrell’s concordance index; p-value* is based on the loglikelihood ratio test

95% confidential interval (CI)+ and p-value+ are based on the nonparametric bootstrap method.

Model 1, AVR; Model 2, AVR + EuroSCORE-I; Model 3, AVR + EuroSCORE-I + NLR; Loglik, loglikelihood; Diff., difference C-index, Harrell’s concordance index; p-value* is based on the loglikelihood ratio test 95% confidential interval (CI)+ and p-value+ are based on the nonparametric bootstrap method. The 95% CI and p-value of the difference of the C-indexes were calculated using the empirical distribution of the indexes based on 2,000 bootstrap re-samples. When we extended the definition of MACE including a composite of all-cause mortality, cardiac death, non-fatal MI and heart failure admission, NLR still remains as the independent prognostic factor most significantly associated with MACE after properly adjusting the effect of AVR (S1 Table). S3 Fig showed the empirical distributions of NLR according to sub-patient groups classified by the status of AVR (with or without AVR) and by the status of MACE (with or without MACE).

Optimized cutoff values of NLR

The upper and lower cutoff values of NLR were optimized to minimize the information loss in categorizing NLR and were estimated to be 2 and 9, respectively. Among a total of 336 patients, 112 (33.3%), 186 (55.4%), and 38 (11.3%) patients were assigned into three risk groups as follow: the low risk group if NLR ≤2, the intermediate risk group if 2 9. As shown in Table 6, the categorized NLR was also a significant independent prognostic factor. Compared with the low risk group, the adjusted HR of the intermediate risk group and the high risk group were estimated to be 1.90 (95% CI, 1.07–3.38; p-value = 0.027) and 4.85 (95% CI, 2.38–9.90; p-value <0.001), respectively.
Table 6

Effect of neutrophil to lymphocyte ratio (NLR) Risk Groups on Major Adverse Cardiovascular Event.

No. of patients (%)HR*95% CIp-value
Low (NLR ≤2)112 (33.3%)Reference
Intermediate (2< NLR ≤9)186 (55.4%)1.901.07 to 3.380.027
High (NLR >9)38 (11.3%)4.852.38 to 9.90<0.001

HR*, hazard ratios adjusted by covariates including Logistic EuroSCORE I and Aortic valve replacement (AVR) using a Cox proportional hazards regression model.

HR*, hazard ratios adjusted by covariates including Logistic EuroSCORE I and Aortic valve replacement (AVR) using a Cox proportional hazards regression model.

Clinical value of the NLR risk classification

As depicted in Fig 3, there exists a statistically significant separation among the estimated Kaplan-Meier survival curves of the NLR risk groups (p-value <0.001).
Fig 3

Major Adverse Cardiovascular Event free survival curves of neutrophil to lymphocyte ratio (NLR) risk groups estimated by the Kaplan-Meier method.

The estimated MACE free survival rates at 5 years for the NLR risk groups were 84.6% for the low risk group, 67.7% for the intermediate risk group, and 42.6% for the high risk group, respectively (Table 7).
Table 7

Kaplan Meier Survival Estimates at 5 Years for NLR Risk Groups.

GroupNo. of patients5-year survival rate (%)95% CI
All patients33670.364.2 to 77.1
Low (NLR ≤2)11284.675.9 to 94.3
Intermediate (2< NLR ≤9)18667.759.4 to 77.3
High (NLR >9)3842.627.4 to 66.4

NLR, neutrophil to lymphocyte ratio.

NLR, neutrophil to lymphocyte ratio.

Discussion

In the present study of 336 consecutive patients diagnosed with severe calcific AS for a given period, we observed the natural history of the study patients and all suitable patients underwent AVR. The unique finding of this study was that NLR, a new predictive inflammatory marker, in cardiovascular disease was an important independent predictor of MACE in patients with severe calcific AS. In addition, the incorporation of NLR into a model with EuroSCORE-I, a validated clinical risk score for patients with calcific AS [16, 19], and AVR, a procedural factor significantly improved the goodness-of-fit and the discriminability for the long-term clinical outcomes in patients with severe calcific AS. This is the first study, to our knowledge, to explore adverse outcomes in patients with severe calcific AS via the combination of the inflammatory marker and the clinical risk score. Predicting outcomes in patients recently diagnosed with calcific AS is clinically relevant, and the assessment of hemodynamic obstruction defined by echocardiographic indexes including trans-valvular PG and AVA is suboptimal because of technical difficulties and poor association with symptoms. Apart from natriuretic peptides, biomarkers have not played a significant role in the evaluation or management of patients with calcific AS [3], although their role in clinical management is not clearly defined. Given the association between inflammation and calcific AS including calcification, fibrosis, and lipid storage [1, 20], which indicate the morphological changes seen in atherosclerosis, validation of inflammatory markers in coronary artery disease and calcific AS might be valuable. In this regard, hs-CRP, a useful predictive biomarker of systemic inflammation and coronary atherosclerosis [21], has also been investigated to assess its relationship with the severity, progression rate and prognosis of calcific AS. Although hs-CRP might have a role in identifying patients in the early stages of calcific AS [5], no relationship has been found in a large population-based cohort [22], with conflicting results noted for the association between hs-CRP level and prognosis of calcific AS [6, 7]. Recently, NLR was identified as an important inflammatory marker and is an inexpensive, routine, reproducible and widely available test. Although NLR is known as potential predictor of cardiovascular risk in patients undergoing percutaneous coronary intervention [9, 23, 24], the relationship between NLR and calcific AS has not been sufficiently investigated. However, there Although EuroSCORE-I score is a validated operative risk score for patients with AS [16, 19], it is calculated using age, NYHA functional class, LV systolic function, and renal function, all of which were associated with the long-term likelihood of MACE in patients with severe calcific AS. In the present study, high EuroSCORE-I was significantly associated with MACE. The inflammatory variable, NLR, was the independent prognostic factor most significantly associated with MACE. This corresponds with the result by Avci et al., who showed that an increased NLR is related to the severity of calcific AS and LV systolic dysfunction in patients with severe calcific AS [25]. As expected, the procedural factor AVR was also important for the long-term prognosis, and because 119 patients had AVR during follow-up, we utilized the multivariable Cox hazard regression model for adjusting the heterogeneous effects of AVR. Interestingly, the incorporation of NLR into a model with AVR and EuroSCORE-I significantly improved the discriminability of the model measured by Harrel’s concordance index. Our observation of an effective method for stratifying mortality risk beyond the EuroSCORE-I score based on inflammatory marker such as NLR in combination with more accurate clinical risk scores might be useful in identifying subgroups of patients likely to exhibit a dismal prognosis even with valve replacement. We believe that it would be certainly an interesting topic for a future study investigating whether or not it is possible to predict the severity of AS based on the level of NLR. This future study would be plausible if there exist a wide spectrum of patients in the study population in terms of the severity of AS. However, our study population includes patients only with isolated severe calcific AS and thus we may pursue the investigation in the future when we obtain appropriate data sets. Several limitations should be considered when interpreting the findings of the present study. While the study cohort consisted exclusively of severe calcific AS patients diagnosed from echocardiography, the initial presenting symptoms were heterogeneous. Secondly, despite 70% of the patients in our cohort experiencing heart failure symptoms, only 35% of patients underwent AVR because they were either high risk or refused to undergo surgical AVR. As there are no observational studies comparing AVR and medical observation after diagnosis of calcific AS in Korea, we cannot assume that an accurate proportion of severe calcific AS patients underwent AVR. However, compared to Western countries, our results might reflect the Asian cultural trend of refusing surgery in old age as well as the poor accessibility of transcatheter AVR (TAVR) in Korea due to its high cost. Indeed, as TAVR is not widely performed in Korea, our patients at higher risk were not referred for consideration of TAVR, which limits the generalization of our results. However, considering other studies showing that medical therapy tends to be chosen for older patients with comorbidities [26] and the performance of AVR in 42% of patients with low-gradient severe AS during a mean follow-up of 46 months [27], our result might reflect the real practice in the treatment of severe calcific AS in Korea. Additionally, we used the EuroSCORE-I score as clinical risk factor, which was designed to predict operative mortality and perioperative morbidity and had been validated for patients undergoing heart surgery. As the vast majority of patients included in this series did not undergo AVR, the use of EuroSCORE-I might be controversial. Because the study cohort was enrolled since 2010, we did not use the improved EuroSCORE-II calculator [28] which was updated at 2012. Nevertheless, the EuroSCORE-I score performed reasonably well in predicting longer-term mortality in our study and continues to be the most commonly used risk score in patients with AS, especially in the absence of a superior alternative [16, 19]. Thus, our findings should be confirmed using serial change in NLR in a future prospective study.

Conclusions

Our results demonstrate the potential utility of NLR as an inflammatory biomarker to improve risk stratification of patients with severe calcific AS. Further studies are needed to evaluate how such biomarker panels influence patient management and treatment decisions.

The empirical joint and marginal distributions of lymphocyte and neutrophil depicted by a scatter plot and histograms.

(TIF) Click here for additional data file.

The empirical distributions of the continuous type of variables present in Table 4 utilizing box-plots.

(TIF) Click here for additional data file.

The empirical distributions of neutrophil to lymphocyte ratio (NLR) according to sub-patient groups classified by the status of aortic valve replacement (AVR; with or without AVR) and by the status of major cardiovascular event (MACE, with or without MACE).

(TIF) Click here for additional data file.

Multivariable Cox proportional hazards regression analysis regarding major cardiovascular event (MACE*) extended to include heart failure admission (all-cause mortality, non-fatal myocardial infarction and heart failure admission).

(DOCX) Click here for additional data file.
  28 in total

1.  Validation of European System for Cardiac Operative Risk Evaluation (EuroSCORE) in North American cardiac surgery.

Authors:  Samer A M Nashef; Francois Roques; Bradley G Hammill; Eric D Peterson; Philippe Michel; Frederick L Grover; Richard K H Wyse; T Bruce Ferguson
Journal:  Eur J Cardiothorac Surg       Date:  2002-07       Impact factor: 4.191

2.  Echocardiographic assessment of valve stenosis: EAE/ASE recommendations for clinical practice.

Authors:  Helmut Baumgartner; Judy Hung; Javier Bermejo; John B Chambers; Arturo Evangelista; Brian P Griffin; Bernard Iung; Catherine M Otto; Patricia A Pellikka; Miguel Quiñones
Journal:  J Am Soc Echocardiogr       Date:  2009-01       Impact factor: 5.251

3.  A note on quantifying follow-up in studies of failure time.

Authors:  M Schemper; T L Smith
Journal:  Control Clin Trials       Date:  1996-08

4.  Conventional aortic valve replacement or transcatheter aortic valve implantation in patients with previous cardiac surgery.

Authors:  Daniel Wendt; Fadi Al-Rashid; Philipp Kahlert; Karim El-Chilali; Ender Demircioglu; Markus Neuhäuser; Oliver Liakopoulos; Daniel Sebastian Dohle; Raimund Erbel; Heinz Jakob; Matthias Thielmann
Journal:  J Cardiol       Date:  2015-05-11       Impact factor: 3.159

5.  Agreement between the new EuroSCORE II, the Logistic EuroSCORE and the Society of Thoracic Surgeons score: implications for transcatheter aortic valve implantation.

Authors:  Dimitri Arangalage; Claire Cimadevilla; Soleiman Alkhoder; Andrea Chiampan; Dominique Himbert; Eric Brochet; Bernard Iung; Patrick Nataf; Jean-Pol Depoix; Alec Vahanian; David Messika-Zeitoun
Journal:  Arch Cardiovasc Dis       Date:  2014-07-01       Impact factor: 2.340

6.  Evaluating the yield of medical tests.

Authors:  F E Harrell; R M Califf; D B Pryor; K L Lee; R A Rosati
Journal:  JAMA       Date:  1982-05-14       Impact factor: 56.272

7.  Relationship of neutrophil-lymphocyte ratio with arterial stiffness and coronary calcium score.

Authors:  Byoung-Jin Park; Jae-Yong Shim; Hye-Ree Lee; Jung-Hyun Lee; Dong-Hyuk Jung; Hong-Bae Kim; Ha-Young Na; Yong-Jae Lee
Journal:  Clin Chim Acta       Date:  2011-01-23       Impact factor: 3.786

8.  Correlation of high sensitivity C-reactive protein and calcific aortic valve disease.

Authors:  Vinodh Jeevanantham; Natasha Singh; Kenneth Izuora; John P D'Souza; David H Hsi
Journal:  Mayo Clin Proc       Date:  2007-02       Impact factor: 7.616

9.  Clinical factors, but not C-reactive protein, predict progression of calcific aortic-valve disease: the Cardiovascular Health Study.

Authors:  Gian M Novaro; Ronit Katz; Ronnier J Aviles; John S Gottdiener; Mary Cushman; Bruce M Psaty; Catherine M Otto; Brian P Griffin
Journal:  J Am Coll Cardiol       Date:  2007-10-29       Impact factor: 24.094

10.  Combined Usefulness of the Platelet-to-Lymphocyte Ratio and the Neutrophil-to-Lymphocyte Ratio in Predicting the Long-Term Adverse Events in Patients Who Have Undergone Percutaneous Coronary Intervention with a Drug-Eluting Stent.

Authors:  Kyoung Im Cho; Soe Hee Ann; Gillian Balbir Singh; Ae-Young Her; Eun-Seok Shin
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

View more
  6 in total

Review 1.  Innate immune cells in the pathophysiology of calcific aortic valve disease: lessons to be learned from atherosclerotic cardiovascular disease?

Authors:  Wieteke Broeders; Siroon Bekkering; Saloua El Messaoudi; Leo A B Joosten; Niels van Royen; Niels P Riksen
Journal:  Basic Res Cardiol       Date:  2022-05-17       Impact factor: 12.416

2.  Neutrophil-to-Lymphocyte Ratio for Predicting Loss of Response to Infliximab in Ulcerative Colitis.

Authors:  Yu Nishida; Shuhei Hosomi; Hirokazu Yamagami; Tomomi Yukawa; Koji Otani; Yasuaki Nagami; Fumio Tanaka; Koichi Taira; Noriko Kamata; Tetsuya Tanigawa; Masatsugu Shiba; Kenji Watanabe; Toshio Watanabe; Kazunari Tominaga; Yasuhiro Fujiwara
Journal:  PLoS One       Date:  2017-01-11       Impact factor: 3.240

3.  High Neutrophil-to-Lymphocyte Ratio Predicts Cardiovascular Mortality in Chronic Hemodialysis Patients.

Authors:  Han Li; Xiangxue Lu; Ruifang Xiong; Shixiang Wang
Journal:  Mediators Inflamm       Date:  2017-02-21       Impact factor: 4.711

4.  Neutrophil-to-Lymphocyte Ratios in Patients Undergoing Aortic Valve Replacement: The PARTNER Trials and Registries.

Authors:  Bahira Shahim; Björn Redfors; Brian R Lindman; Shmuel Chen; Torsten Dahlen; Tamim Nazif; Samir Kapadia; Zachary M Gertz; Aaron C Crowley; Ditian Li; Vinod H Thourani; Susheel K Kodali; Alan Zajarias; Vasilis C Babaliaros; Robert A Guyton; Sammy Elmariah; Howard C Herrmann; David J Cohen; Michael J Mack; Craig R Smith; Martin B Leon; Isaac George
Journal:  J Am Heart Assoc       Date:  2022-06-03       Impact factor: 6.106

5.  Biomarkers Associated with Mortality in Aortic Stenosis: A Systematic Review and Meta-Analysis.

Authors:  Madeline White; Ranu Baral; Alisdair Ryding; Vasiliki Tsampasian; Thuwarahan Ravindrarajah; Pankaj Garg; Konstantinos C Koskinas; Allan Clark; Vassilios S Vassiliou
Journal:  Med Sci (Basel)       Date:  2021-05-17

6.  Multi-modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45.

Authors:  Gary Tse; Jiandong Zhou; Samuel Won Dong Woo; Ching Ho Ko; Rachel Wing Chuen Lai; Tong Liu; Yingzhi Liu; Keith Sai Kit Leung; Andrew Li; Sharen Lee; Ka Hou Christien Li; Ishan Lakhani; Qingpeng Zhang
Journal:  ESC Heart Fail       Date:  2020-10-23
  6 in total

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