Literature DB >> 31645852

Simple hematological predictors of AF recurrence in patients undergoing atrial fibrillation ablation.

George Bazoukis1, Konstantinos P Letsas1, Konstantinos Vlachos1, Athanasios Saplaouras1, Dimitrios Asvestas1, Konstantinos Tyrovolas1, Aikaterini Rokiza1, Eirini Pagkalidou2, Gary Tse3,4, Stavros Stavrakis5, Antonios Sideris1, Michael Efremidis1.   

Abstract

BACKGOUND: Red cell distribution width (RDW) and neutrophil-to-lymphocyte ratio (NLR) are simple hematologic indices that have been used to predict adverse outcomes in different clinical settings. The aim of our study is to determine whether RDW and NLR can predict atrial fibrillation (AF) recurrence in patients undergoing AF ablation.
METHODS: Consecutive patients, without known hematological disorders, who underwent AF catheter ablation between January 2014 and April 2017 were enrolled into this study. Blood samples were taken one day before and five hours after the ablation procedure.
RESULTS: A total of 346 patients (224 males (65%), mean age: 59 ± 11 years old) were included. After a mean follow up of 26.2 ± 12.1 months, 80 (23.1%) patients experienced late AF recurrence (defined as any recurrence after the blanking period of three months), while 97 (28%) patients experienced early AF recurrence during the blanking period. Univariate analysis showed that early arrhythmia recurrence, type of AF and NLR after the procedure were significantly associated with late AF recurrence, while early arrhythmia recurrence and NLR remained significant in multivariate analysis. RDW was not associated with late AF recurrence. None of the parameters above predicted early arrhythmia recurrence.
CONCLUSIONS: Simple and inexpensive hematological indices such as NLR should be evaluated for their ability to predict AF recurrence in patients undergoing catheter ablation in larger prospective studies. Institute of Geriatric Cardiology.

Entities:  

Keywords:  Atrial fibrillation; Neutrophils; Radiofrequency ablation

Year:  2019        PMID: 31645852      PMCID: PMC6790958          DOI: 10.11909/j.issn.1671-5411.2019.09.008

Source DB:  PubMed          Journal:  J Geriatr Cardiol        ISSN: 1671-5411            Impact factor:   3.327


Introduction

Hematological indices such as red cell distribution width (RDW) and neutrophil-to-lymphocyte ratio (NLR) have been associated with incident atrial fibrillation (AF).[1]–[6] RDW reflects variability in the size of circulating erythrocytes and is a marker of anisocytosis,[7] while NLR is a systemic inflammatory marker with prognostic significance for cardiovascular diseases.[8] Specifically, a high neutrophil count reflects subclinical inflammation, and a reduced lymphocyte count reflects physiologic stress and poor general health. As a result, the NLR provides information on both the inflammatory status and the stress response.[9] In light of the well-characterized association between inflammation and AF,[10] a number of studies have evaluated the role of corticosteroids in preventing AF recurrence after AF catheter ablation.[11]–[14] Specifically, the STEROID-AF study showed that oral corticosteroids have significant effect in lowering certain cytokines, but this was not translated to better outcomes following AF ablation.[11] Another randomized controlled trial reported that low dose corticosteroids administered for a short period, shortly after AF ablation may have a beneficial role in prevention of immediate and mid-term follow-up AF recurrences.[12] In addition, periprocedural short-term moderate intensity steroid therapy reduced early arrhythmia recurrence but it was not effective in preventing late AF recurrence following AF ablation.[13] These findings highlight the possible association between inflammation and AF recurrence in patients undergo catheter ablation. Furthermore, there is an increased interest in finding simple predictors for identifying patients who are at higher risk of AF recurrence and who might benefit from adjunctive antiarrhythmic medications post-ablation. Therefore, we investigated the values of RDW, NLR and other simple hematological indices for predicting AF recurrence in patients undergoing AF ablation in our center.

Methods

Patients and ablation procedure

This retrospective cohort study included consecutive patients undergoing AF catheter ablation between January 2014 and April 2017 in our center. The exclusion criteria were those with known hematological disorders. Catheter ablation was performed under intravenous sedation with midazolam and remifentanyl by two experienced operators (Efremidis M and Letsas KP). The ablation procedure has been described in full details elsewhere.[15] In brief, after the three-dimensional geometry of the left atrium was obtained using CARTO (Biosense Webster, Inc.), wide circumferential lesions for isolation of large atrial areas around both ipsilateral pulmonary veins (PVs) were applied using a 3.5 mm-tip ablation catheter (Thermo Cool Navi-Star and Smart Touch, Biosense Webster, Inc.). The endpoint of the ablation was the absence or dissociation of potentials in the isolated area as documented by the circular mapping catheter (Lasso, BiosenseWebster, Inc.) placed within each of the PVs. In addition, exit block was confirmed by pacing around the circular mapping catheter from within each PV. Entrance and exit block of the PVs were evaluated 30 min after the initial isolation. The patients were anticoagulated using acenocoumarol with a target international normalized ratio of 2.0–3.0 or direct oral anticoagulants at least four weeks before and three months after the procedure. We routinely received blood samples from all patients who underwent AF catheter ablation one day before and about five hours after the ablation procedure. We measured a complete blood count, creatinine and troponin levels. All patients in our institution underwent routine follow-up post-ablation, as per our institution's protocol. Specifically, patients were evaluated every week at the dedicated arrhythmia outpatient clinic of our institution for the first month after the procedure. Patients had follow-up visits with a 24-h Holter electrocardiogram at 1, 3, 6, 9, 12 months and for every 6 months thereafter or whenever they developed symptoms consistent with recurrent AF. Antiarrhythmic drugs, except amiodarone, were discontinued five days before the ablation procedure and were re-initiated on the next day only in patients with non-paroxysmal AF for three months after the procedure. Amiodarone was discontinued for four weeks before the procedure to allow enough time for wash out while non-paroxysmal AF patients were reloaded after the procedure.[16] The study was approved by the Hospital's Ethics Committee.

Statistical analysis

Continuous variables are presented as mean ± SD, while categorical ones are presented as absolute and relative frequencies (percentages). Continuous variables were tested for normal distribution using the Kolmogorov-Smirnov test. Continuous variables with and without normal distribution were compared using Student's t-test or the Mann-Whitney U test, respectively. Pearson's chi-square or Fisher's exact test were used to test for any associations between two categorical variables. We examined univariate models and multivariate models with forward selection of variables per likelihood ratio criteria by using binary logistic regression analysis. Variables with a univariate P-value < 0.2 were included in the multivariable model (Hosmer-Lemeshow). Receiving operating characteristics curve (ROC) was performed to assess the best cutoff value of significant continues variables to predict AF recurrence. Analyses were performed with SPSS (version 17.0, SPSS Inc., Chicago, IL, USA) and all reported P-values are two-tailed. Double-sided P-values less than 0.05 were considered as indicative of statistical significance.

Results

A total of 346 patients (224 males (65%), mean age: 59 ± 11 years), who were followed for a mean period of 26.2 ± 12.1 months, were included. The indication for AF ablation was symptomatic AF (paroxysmal AF: 216 (62%), persistent AF: 121 (35%), long standing persistent AF: 9 (3%)) refractory to antiarrhythmic drugs. During follow-up, 80 (23%) patients experienced late AF recurrence (defined as any recurrence after the blanking period of three months), while 97 (28%) patients experienced early AF recurrence during the blanking period. Of the different hematological indices studied, only NLR after ablation was significantly associated with late AF recurrence during after ablation (P = 0.035). By contrast, RDW before or after ablation procedure was not significantly associated with late arrhythmia recurrence. Other factors significantly associated with late recurrence of AF were early arrhythmia recurrence (P = 0.023), type of AF (P = 0.0009) and procedure time (0.041) (Table 1). Multivariate analysis was performed, including variables with P < 0.2 on univariate analysis. This revealed early arrhythmia recurrence (OR = 1.94, 95% CI: 1.11–3.41, P = 0.02) and NLR post-ablation (OR = 1.1, 95% CI: 1.01–1.20, P = 0.03) were significantly associated with late AF recurrence. No significant association between hematological indices and early arrhythmia recurrence was found (Table 2).
Table 1.

Baseline characteristics, procedural characteristics and hematological indices between patients with and without late atrial fibrillation recurrence.

Late atrial fibrillation recurrence
P-value
Yes (n = 80, 23.1%)No (n = 266, 76.9%)
Follow-up, months28.3 ± 11.925.5 ± 12.10.05
Hematological indices before ablation
 NLR2.04 ± 0.742.12 ± 1.360.43
 WBC, cells/µL7179 ± 19307454 ± 21100.30
 Platelets, × 109/L234 ± 55234 ± 630.57
 RBC, × 106/µL4.93 ± 0.504.93 ± 0.550.99
 RDW-SD, fL42.8 ± 3.2042.4 ± 4.400.28
 RDW-CV13.7% ± 1.00%13.8% ± 1.68%0.85
 RDW-SD/PDW3.12 ± 0.493.10 ± 0.530.53
 Troponin, ng/L7.55 ± 6.4010.1 ± 33.40.89
 Creatinine, mg/dL0.85 ± 0.190.85 ± 0.250.44
Hematological indices after ablation
 NLR6.27 ± 3.645.25 ± 2.830.04
 WBC cells/µL9821 ± 30779493 ± 26890.41
 Platelets, × 109/L195 ± 47201 ± 540.67
 RBC, × 106/µL4.42 ± 0.454.52 ± 0.530.21
 RDW-SD fL42.1 ± 3.2241.8 ± 4.800.63
 RDW-CV13.5% ± 0.95%13.7% ± 1.67%1.00
 RDW-SD/PDW3.17 ± 0.543.16 ± 0.550.57
 Troponin, mg/dL808.5 ± 447960.7 ± 6350.09
Baseline characteristics
 Male sex53 (66.3%)171 (64.3%)0.75
 Age, yrs59.6 ± 10.358.6 ± 11.20.57
 Paroxysmal AF40 (50%)176 (66.2%)0.01
 Hypertension46 (57.5%)129 (48.5%)0.19
 Diabetes6 (7.5%)27 (10.2%)0.47
 Dyslipidemia31 (38.8%)101 (38%)0.94
 Coronary artery disease6 (7.5%)11 (4.1%)0.23
Antiarrhythmic drugs
 β-blockers58 (72.5%)183 (68.8%)0.74
 Class Ic (flecainide, propafenone)46 (57.5%)139 (52.3%)0.53
 Sotalol20 (25%)63 (23.7%)0.90
 Amiodarone19 (23.8%)58 (21.8%)0.80
Procedure characteristics
 Fluoroscopy time, min15.7 ± 8.316.5 ± 8.20.42
 Procedure time, min186.9 ± 56.7174.4 ± 530.04
 Radio-frequency time, min30.15 ± 1.4729.96 ± 2.450.08
Complications
 Stroke4 (5%)3 (1.1%)0.03
 Tamponade01 (0.4%)0.59
 Early arrhythmia recurrence31 (38.8%)66 (24.8%)0.02

Data are presented as mean ± SD or n (%). AF: atrial fibrillation; NLR: neutrophil to lymphocyte ratio; PDW: platelet distribution width; RBC: red blood cells; RDW-CV: red cell distribution width-coefficient variation; RDW-SD: red cell distribution width-standard deviation; WBC: white blood cells.

Table 2.

Baseline characteristics, procedural characteristics and hematological indices between patients with and without early atrial fibrillation recurrence.

Early atrial fibrillation recurrence
P-value
Yes (n = 97, 28%)No (n = 249, 72%)
Follow-up, months25.6 ± 12.526.4 ± 11.90.51
Hematological indices before ablation
 NLR1.94 ± 0.792.16 ± 1.370.31
 WBC, cells/µL7396 ± 21187376 ± 19540.97
 Platelets, × 109/L237 ± 74233 ± 560.90
 RBC, × 106/µL4.93 ± 0.544.93 ± 0.540.89
 RDW-SD, fL42.8 ± 4.342.3 ± 4.10.67
 RDW-CV13.9% ± 1.8%13.7% ± 1.4%0.23
 RDW-SD/PDW3.1 ± 0.533.1 ± 0.520.91
Troponin, ng/L6.98 ± 5.5910.5 ± 34.70.84
 Creatinine, mg/dL0.85 ± 0.250.84 ± 0.20.99
Hematological indices after ablation
 NLR5.62 ± 3.275.43 ± 2.990.88
 WBC cells/µL9545 ± 26669579 ± 28320.89
 Platelets, × 109/L202 ± 62.3198 ± 48.60.96
 RBC, × 106/µL4.47 ± 0.514.5 ± 0.520.58
 RDW-SD, fL42.4 ± 4.441.7 ± 4.520.36
 RDW-CV13.8% ± 1.8%13.6% ± 1.4%0.22
 RDW-SD/PDW3.15 ± 0.563.17 ± 0.540.77
 Troponin, mg/dL968 ± 626909 ± 5890.57
Baseline characteristics
 Male sex62 (63.9%)162 (65.1%)0.84
 Age, yrs59.6 ± 10.358.6 ± 11.20.92
 Paroxysmal AF54 (55.7%)162 (65.1%)0.11
 Hypertension50 (51.5%)125 (50.8%)0.90
 Diabetes11 (11.3%)22 (8.9%)0.49
 Dyslipidemia33 (34%)99 (40.1%)0.3
 Coronary artery disease4 (4.1%)13 (5.3%)0.66
Antiarrhythmic drugs
 Class Ic55 (58.5%)130 (54.9%)0.55
 β-blockers75 (78.1%)166 (69.5%)0.11
 Sotalol28 (29.2%)55 (23%)0.24
 Amiodarone26 (27.1%)51 (21.3%)0.26
Procedure characteristics
 Fluoroscopy time, min15.7 ± 8.316.5 ± 8.20.67
 Procedure time, min230.5 ± 403174.4 ± 530.004
Complications
 Stroke2 (2.1%)5 (2%)0.99
 Tamponade01 (0.4%)0.53

Data are presented as mean ± SD or n (%). AF: atrial fibrillation; NLR: neutrophil to lymphocyte ratio; PDW: platelet distribution width; RBC: red blood cells; RDW-CV: red cell distribution width-coefficient variation; RDW-SD: red cell distribution width-standard deviation; WBC: white blood cells.

Data are presented as mean ± SD or n (%). AF: atrial fibrillation; NLR: neutrophil to lymphocyte ratio; PDW: platelet distribution width; RBC: red blood cells; RDW-CV: red cell distribution width-coefficient variation; RDW-SD: red cell distribution width-standard deviation; WBC: white blood cells. Data are presented as mean ± SD or n (%). AF: atrial fibrillation; NLR: neutrophil to lymphocyte ratio; PDW: platelet distribution width; RBC: red blood cells; RDW-CV: red cell distribution width-coefficient variation; RDW-SD: red cell distribution width-standard deviation; WBC: white blood cells. In ROC analysis, a NLR after ablation > 3.9 had a 70% sensitivity and 38% specificity for predicting late AF recurrence (AUC = 0.58, 95% CI: 0.51–0.65, P = 0.035). We subsequently performed subgroup analysis regarding the type of AF (paroxysmal AF: 216 patients, non-paroxysmal AF: 130 patients). In paroxysmal AF patients, we did not find any statistically significant differences in either baseline characteristics or hematological indices (before or after ablation procedure) between patients with or without late AF recurrence. On the other hand, in non-paroxysmal AF patients, univariate analysis showed that lower platelet distribution width (PDW) levels after ablation (P = 0.03) and higher RDW-SD/PDW (P = 0.01) and troponin levels (P = 0.04) after the ablation procedure were significantly associated with late AF recurrence. However, the statistical significance was lost for these hematological indices in multivariate analysis.

Discussion

The main findings of our study are that NLR after ablation procedure and early arrhythmia recurrence were significantly associated with late AF recurrence in patients undergoing AF catheter ablation while we did not find a significant association between RDW and late AF recurrence. Several studies have investigated the possible associations between simple electrocardiographic [17] and hematological markers, such as RDW and NLR, and AF ablation outcomes.[9],[18]–[21] Elevated RDW and pre-ablation NLR have been found to be predictors of AF recurrence following cryoballoon-based AF ablation,[9],[18] while pre-ablation white blood cell count was also found to significantly associated with AF recurrence after catheter ablation.[19] Consistent with our results, Guo and colleagues found that post-ablation NLR was associated with higher AF recurrence rates after the ablation procedure.[22] Similarly, a meta-analysis showed that high NLR, whether baseline or post-surgery/procedure, is associated with an increased risk of AF recurrence/occurrence after CABG, catheter ablation or cardioversion.[2] Additionally, post-ablation NLR has been found to be an independent predictor for early arrhythmia recurrence,[20] which is an important finding because early arrhythmia recurrence is significantly associated with late arrhythmia recurrence as revealed from the present study. However, our study did not show significant association between pre- or post-ablation NLR and early arrhythmia recurrence. Regarding the pathophysiology of the revealed association between NLR with late arrhythmia recurrence, the NLR provides information on both the inflammatory status and the stress response while the accumulating neutrophils contribute to atrial remodeling through the release of pro-inflammatory mediators.[23] The findings of previous studies indicating that pre-ablation NLR levels were significantly associated with adverse ablation outcomes support the notion that pre-ablation inflammatory environment may have a role in AF recurrence and thus could be a pharmacological target to improve post-procedure outcomes. For example, previous studies investigated the role of corticosteroids in preventing AF recurrence after AF catheter ablation.[11]–[13] Future prospective studies are needed on this area and they will need to take into account other contributing factors towards AF recurrence, such as the ablation technique used,[24] heart failure status,[25] and electrophysiological substrates present at baseline and revealed during ablation by adenosine testing.[26]

Conclusions

In conclusion, NLR after ablation procedure was found to be significantly associated with late AF recurrence in patients undergoing AF catheter ablation. Whether post-ablation NLR levels can be used as a risk stratification tool to identify patients at higher risk of AF recurrence remains to be determined. This has the potential to change common practice as this subgroup may benefit from adjunct antiarrhythmic medications after the procedures.

Limitations

Our study is a retrospective small sized single-center observational study. Importantly, the follow-up monitoring for the detection of arrhythmia recurrence was performed via 24-h or 48-h Holter recordings and 12-lead electrocardiograms. More thorough methods of monitoring, such as loop recorders, 7-day Holter monitoring, can be used in the future to improve AF detection rates.
  26 in total

1.  Red blood cell distribution width as a predictor of atrial fibrillation.

Authors:  Qingmiao Shao; Panagiotis Korantzopoulos; Konstantinos P Letsas; Gary Tse; Jiang Hong; Guangping Li; Tong Liu
Journal:  J Clin Lab Anal       Date:  2018-01-08       Impact factor: 2.352

2.  Usefulness of neutrophil/lymphocyte ratio in predicting early recurrence after radiofrequency catheter ablation in patients with atrial fibrillation.

Authors:  Sung Il Im; Seung Yong Shin; Jin Oh Na; Yong Hyun Kim; Cheol Ung Choi; Seong Hwan Kim; Jin Won Kim; Eung Ju Kim; Seong Woo Han; Seung-Woon Rha; Chang Gyu Park; Hong Seog Seo; Dong Joo Oh; Chun Hwang; Hong Euy Lim
Journal:  Int J Cardiol       Date:  2013-05-28       Impact factor: 4.164

3.  Red blood cell distribution width is associated with incidence of atrial fibrillation.

Authors:  S Adamsson Eryd; Y Borné; O Melander; M Persson; J G Smith; B Hedblad; G Engström
Journal:  J Intern Med       Date:  2013-10-25       Impact factor: 8.989

4.  Early pulmonary vein reconnection as a predictor of left atrial ablation outcomes for paroxysmal atrial fibrillation.

Authors:  Michael Efremidis; Konstantinos Letsas; Georgios Giannopoulos; Louisa Lioni; Konstantinos Vlachos; Dimitrios Asvestas; Dimitrios Karlis; Vasileios Kareliotis; Hrysoula Geladari; Antonios Sideris; Spyridon Deftereos
Journal:  Europace       Date:  2015-02-16       Impact factor: 5.214

5.  Predictors of arrhythmia recurrence in patients with heart failure undergoing left atrial ablation for atrial fibrillation.

Authors:  George Bazoukis; Konstantinos P Letsas; Gary Tse; Katerina K Naka; Panagiotis Korantzopoulos; Evangelia Ntzani; Konstantinos Vlachos; Athanasios Saplaouras; Eirini Pagkalidou; Lampros K Michalis; Antonios Sideris; Michael Efremidis
Journal:  Clin Cardiol       Date:  2018-01-22       Impact factor: 2.882

Review 6.  Usefulness of Neutrophil/Lymphocyte Ratio as a Predictor of Atrial Fibrillation: A Meta-analysis.

Authors:  Qingmiao Shao; Kangyin Chen; Seung-Woon Rha; Hong-Euy Lim; Guangping Li; Tong Liu
Journal:  Arch Med Res       Date:  2015-05-14       Impact factor: 2.235

7.  Prevention of atrial fibrillation recurrence with corticosteroids after radiofrequency catheter ablation: a randomized controlled trial.

Authors:  Takashi Koyama; Hiroshi Tada; Yukio Sekiguchi; Takanori Arimoto; Hiro Yamasaki; Kenji Kuroki; Takeshi Machino; Kazuko Tajiri; Xu Dong Zhu; Miyako Kanemoto-Igarashi; Aiko Sugiyasu; Keisuke Kuga; Yoshio Nakata; Kazutaka Aonuma
Journal:  J Am Coll Cardiol       Date:  2010-10-26       Impact factor: 24.094

8.  Discrimination indices as screening tests for beta-thalassemic trait.

Authors:  George Ntaios; Anastasia Chatzinikolaou; Zoi Saouli; Fotios Girtovitis; Maria Tsapanidou; Georgia Kaiafa; Zisis Kontoninas; Androula Nikolaidou; Christos Savopoulos; Ifigenia Pidonia; Stiliani Alexiou-Daniel
Journal:  Ann Hematol       Date:  2007-05-03       Impact factor: 3.673

9.  Role of preablation neutrophil/lymphocyte ratio on outcomes of cryoballoon-based atrial fibrillation ablation.

Authors:  Uğur Canpolat; Kudret Aytemir; Hikmet Yorgun; Levent Şahiner; Ergün Barış Kaya; Giray Kabakçı; Lale Tokgözoğlu; Ali Oto
Journal:  Am J Cardiol       Date:  2013-05-11       Impact factor: 2.778

Review 10.  Prediction of New-Onset and Recurrent Atrial Fibrillation by Complete Blood Count Tests: A Comprehensive Systematic Review with Meta-Analysis.

Authors:  Alexander Weymann; Sadeq Ali-Hasan-Al-Saegh; Anton Sabashnikov; Aron-Frederik Popov; Seyed Jalil Mirhosseini; Tong Liu; Mohammadreza Lotfaliani; Michel Pompeu Barros de Oliveira Sá; William L L Baker; Senol Yavuz; Mohamed Zeriouh; Jae-Sik Jang; Hamidreza Dehghan; Lei Meng; Luca Testa; Fabrizio D'Ascenzo; Umberto Benedetto; Gary Tse; Luis Nombela-Franco; Pascal M Dohmen; Abhishek J Deshmukh; Cecilia Linde; Giuseppe Biondi-Zoccai; Gregg W Stone; Hugh Calkins; Integrated Meta-Analysis Of Cardiac Surgery And Cardiology-Group Imcsc-Group
Journal:  Med Sci Monit Basic Res       Date:  2017-05-12
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  1 in total

1.  Association of RDW, NLR, and PLR with Atrial Fibrillation in Critical Care Patients: A Retrospective Study Based on Propensity Score Matching.

Authors:  Yao-Zong Guan; Rui-Xing Yin; Peng-Fei Zheng; Chun-Xiao Liu; Bi-Liu Wei; Guo-Xiong Deng
Journal:  Dis Markers       Date:  2022-05-27       Impact factor: 3.464

  1 in total

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