Literature DB >> 35146118

Impact of new-onset versus pre-existing atrial fibrillation on outcomes after transcatheter aortic valve replacement/implantation.

Nso Nso1, Kelechi Emmanuel2, Mahmoud Nassar1, Rubal Bhangal1, Sostanie Enoru3, Adedapo Iluyomade4, Jonathan D Marmur3, Onyedika J Ilonze5, Senthil Thambidorai6, Hakeem Ayinde7.   

Abstract

Patients with aortic stenosis who undergo transcatheter aortic valve replacement/transcatheter aortic valve implantation (TAVR/TAVI) experience a high incidence of pre-existing atrial fibrillation (pre-AF) and new-onset atrial fibrillation (NOAF) post-operatively. This systematic review and meta-analysis aimed to update current evidence concerning the incidence of 30-day mortality, stroke, acute kidney injury (AKI), length of stay (LOS), and early/late bleeding in patients with NOAF or pre-AF who undergo TAVR/TAVI. PubMed, Google Scholar, JSTOR, Cochrane Library, and Web of Science were searched for studies published between January 2012 and December 2020 reporting the association between NOAF/pre-AF and clinical complications after TAVR/TAVI. A total of 15 studies including 158,220 adult patients with TAVI/TAVR and NOAF or pre-AF were identified. Compared to patients in sinus rhythm, patients who developed NOAF had a higher risk of 30-day mortality, AKI, early bleeding events, extended LOS, and stroke after TAVR/TAVI (odds ratio [OR]: 3.18 [95% confidence interval [CI] 1.58, 6.40]) (OR: 3.83 [95% CI 1.18, 12.42]) (OR: 1.70 [95% CI 1.05, 2.74]) (OR: 13.96 [95% CI, 6.41, 30.40]) (OR: 2.51 [95% CI 1.59, 3.97], respectively). Compared to patients in sinus rhythm, patients with pre-AF had a higher risk of AKI and early bleeding episodes after TAVR/TAVI (OR: 2.43 [95% CI 1.10, 5.35]) (OR: 17.41 [95% CI 6.49, 46.68], respectively). Atrial fibrillation is associated with a higher risk of all primary and secondary outcomes. Specifically, NOAF but not pre-AF is associated with a higher risk of 30-day mortality, stroke, and extended LOS after TAVR/TAVI.
© 2021 Published by Elsevier B.V.

Entities:  

Keywords:  AKI, acute kidney injury; Aortic stenosis; Atrial fibrillation; CI, confidence interval; LOS, length of stay; NOAF; NOAF, new-onset atrial fibrillation; OR, odds ratio; TAVI; TAVI, transcatheter aortic valve implantation; TAVR; TAVR, transcatheter aortic valve replacement; pre-AF, pre-existing atrial fibrillation

Year:  2022        PMID: 35146118      PMCID: PMC8802123          DOI: 10.1016/j.ijcha.2021.100910

Source DB:  PubMed          Journal:  Int J Cardiol Heart Vasc        ISSN: 2352-9067


Introduction

Transcatheter aortic valve replacement/implantation (TAVR/TAVI) is a percutaneous intervention that is used to treat aortic stenosis and improve cardiac function [1]. It is approved for patients with low-to-high surgical risk and valve-in-valve replacement of failed bioprosthetic valves [2]. The structural and functional cardiovascular changes facilitated by TAVR in patients with aortic stenosis effectively enhance hemodynamic performance [3]. Furthermore, TAVR provides a long-term treatment advantage by reducing trans-aortic gradients and increasing the effective orifice area. This leads to improved morbidity and all-cause mortality after TAVR [4]. Atrial fibrillation occurs in 33–44% of patients with TAVR and increases their risk of cardiovascular complications [5], [6]. Prior meta-analyses have reported the association of atrial fibrillation with increased risk of major bleeding, stroke, and mortality [7], [8]. The past studies did not stratify TAVR outcomes while differentiating NOAF from pre-AF. They also did not categorize TAVR risk factors or prognoses according to the type of atrial fibrillation. This study aimed to update the findings of prior meta-analyses by exploring the clinical outcomes of patients with TAVI/TAVR and new-onset atrial fibrillation [NOAF] or pre-existing atrial fibrillation [pre-AF].

Methods

Study design

This study was designed following the PRISMA [Preferred Reporting Items for Systematic Reviews and Meta-analysis] recommendations [9]. Any valvular, non-valvular, paroxysmal, persistent, and permanent atrial fibrillation was considered pre-AF. NOAF was considered as atrial fibrillation occurring after TAVR intervention in patients without previously diagnosed atrial fibrillation.

Ethics statement

This study did not require informed consent or institutional review board approval.

Selection criteria/search strategy

Observational, prospective, retrospective and posthoc studies published between January 2012 and December 2020 were included. Two authors explored the target studies via Google Scholar, JSTOR, Cochrane Library, and Web of Science. The MeSH [medical subject headings] search terms included the following: “TAVR,” “TAVI,” “aortic stenosis,” “NOAF,” “30-day mortality,” “stroke,” “LOS,” “AKI,” “early bleeding,” and “late bleeding”. Studies that reported on the association between clinical outcomes and NOAF or pre-AF in patients with TAVR/TAVI were included. Further, the following inclusion parameters were considered during the screening process: The outcome data warranted correlation with pre-AF or NOAF The clinical outcomes included any of the following: 30-day mortality, stroke, AKI, LOS, early bleeding, and late bleeding. The citations and references were extensively reviewed for the included studies and the validity of their clinical endpoints was confirmed after examining their statistical methods. Two authors independently evaluated the evidence levels of the included studies, and one author investigated the risk of bias/publication bias by constructing the funnel plots from the outcome data. Clinical outcomes, study design, sample size, interventions, and inferences, and were categorically extracted and listed in Table 1. Table 2 provided the baseline characteristics of the patients, including EuroSCORE II or STS. Fig. 1a indicates the screening process for extracting the studies of interest.
Table 1

Summary of sample size, method, interventions, findings, and evidence-levels of included studies.

StudySample SizeMethodInterventionInferenceEvidence-Level
Amat-Santos et al. (2012)138 subjectsObservation (multicenter) studyAssessment of NOAF concerning its prognostic value, outcomes, predictive factors, and incidence in the setting of TAVINOAF substantially increased the incidence of systemic embolism (p = 0.047) and stroke (13.6% vs. 3.2%; p = 0.021) after TAVIII
Biviano et al. (2016)/PARTNER1,879 patientsProspective trial (post-hoc analysis)Clinical evaluation and assessment of echocardiogram/electrocardiogram at baseline discharge and 30-days, 6 months, and one year after TAVRPatients who developed atrial fibrillation after sinus rhythm at discharge experienced all-cause mortality at thirty days and one-year (HR: 3.41, 95% CI 1.78, 6.54) (HR: 2.14, 95% CI 1.45, 3.10). The presence of atrial fibrillation at baseline (HR: 2.14, 95% CI 1.45, 3.10) and discharge (HR: 1.88, 95% CI 1.50, 2.36) proved to be the predictor for one-year mortality. Patients with TAVR and reduced ventricular response and atrial fibrillation at discharge showed increased one-year all-cause mortality (HR: 0.74, 95% CI 0.55, 0.99)II
Chopard et al. (2015)/FRANCE-23,933 subjectsProspective multicenter studyAssessment of prognostic value of NOAF, predictive attributes, baseline characteristics, and long-term outcomes in patients following TAVIPatients with pre-existing atrial fibrillation experienced a higher incidence of all-cause mortality and rehospitalization as compared to patients who developed NOAF after TAVI (p < 0.001)NOAF substantially increased the incidence of post-procedural hemorrhagic events in TAVI scenarios (p < 0.001)NOAF added to the incidence rate of combined efficacy endpoint and all-cause mortality at one year in patients with TAVI (p = 0.02)II
Sannino et al. (2016)708 subjectsRetrospective cohort studyAssessment of prognostic outcomes of NOAF/pre-AF in patients with TAVIpatients with TAVI and pre-AF experienced a higher risk of one-year mortality (HR: 2.34, 95% CI 1.22, 4.48) (p = 0.010)II
Stortecky et al. (2013)389 subjectsProspective single-center trialAssessment of the influence of atrial fibrillation on the incidence of mortality, stroke, acute kidney injury, and late bleeding episodes in patients with TAVIpatients with TAVI and atrial fibrillation experienced a greater incidence of one-year all-cause mortality as compared to patients without atrial fibrillation (HR: 2.36, 95% CI 1.43, 3.90)patients with TAVI with or without atrial fibrillation experience a high risk for life-threatening bleeding and stroke (HR: 1.37, 95% CI 0.86, 2.19) (HR: 0.76, 95% CI 0.23, 1.96)II
Tarantini et al. (2016)/SOURCE-XT2,688 subjectsProspective multicenter trialAssessment of bleeding events, cardiac death, and all-cause mortality in patients with TAVR and NOAFNOAF elevated the incidence stroke in patients with TAVR within a tenure of 1–2 years (HR: 1.96, 95% CI 1.39, 2.76) (p = 0.0001)II
Yankelson et al. (2014)380 subjectsRetrospective cohort studyAssessment of TAVI-related procedural complications in the context of NOAF versus pre-AFBaseline atrial fibrillation significantly elevated mortality incidence in patients with TAVI (HR: 2.2, 95% CI 1.3, 3.8) (p = 0.003)II
Nombela-Franco et al. (2012)1061 subjectsRetrospective cohort studyAssessment of prognostic value, predictive factors, and timing of cerebrovascular episodes in patients with TAVINOAF was associated with increased risk of subacute stroke (occurring 1–30 days post-TAVR) (OR: 2.76, 95 %CI 1.11, 6.83)Chronic AF in TAVR was associated with increased risk of late stroke (occurring > 30 days after TAVR) (HR: 2.84, 95% CI 1.46, 5.53)II
Mentias et al. (2019)72,660 subjectsRetrospective cohort studyMedicare inpatient claims data were used to assess the association of NOAF and long-term outcomes in patients with TAVR. Follow-up was 73,732 person-years.NOAF in patients with TAVR was associated with increased risk of mortality compared with those without AF (HR: 2.07, 95% CI 1.91, 2.20) (p < 0.01) or pre-AF (HR: 1.35, 95% CI 1.26, 1.45) (p < 0.01)Compared to pre-AF, NOAF was also associated with increased risk of bleeding (HR: 1.66; 95% CI 1.48, 1.86), stroke (HR: 1.92, 95% CI 1.63, 2.26), and heart failure (HR: 1.98, 95% CI 1.81, 2.16)II
Maan et al. (2015)137 subjectsRetrospective cohort studyAssessment of the influence of AF on a composite of all-cause death, stroke, vascular complications, and hospitalizations within 1 month after TAVRPre-existing AF in patients with TAVR was associated with increased risk of death, vascular complications, and readmission within 1 month (OR: 2.60, 95% CI 1.22, 5.54)NOAF was strongly associated with the trans-apical approach in patients with TAVR (OR: 5.05, 95% CI 1.40, 18.20)
Yoon et al. (2019)347 subjectsProspective cohort trialAssessment of clinical outcomes of NOAF in patients with TAVIPatients with TAVI and NOAF experienced a high predisposition for systemic embolism and stroke at one year (HR: 3.31, 95% CI 1.34, 8.20)II
Patil et al. (2020)72, 666 subjects hospitalized for TAVRRetrospective cohort studyNational Inpatient Sample database was queried to assess the association between atrial fibrillation and adverse outcomes in patients receiving TAVR.Atrial fibrillation clinically correlated with increased risk of TIA/stroke (OR: 1.36, 95% CI 1.33, 1.78), acute kidney injury (OR: 1.54, 95% CI: 1.33, 1.78), and elevated average LOS (OR: 1.30, 95% CI: 1.06, 1.54).Atrial fibrillation did not increase the risk of inpatient mortality (OR: 1.09, 95% CI 0.81, 1.48)II
Zweiker et al. (2017)398 subjectsRetrospective cohort studyAssessment of predictors of 1-year mortality after TAVR. Clinical records were reviewed for diagnosis of baseline atrial fibrillation and NOAFCompared to baseline sinus rhythm, baseline atrial fibrillation was associated with higher mortality at 1 year after TAVR (19.8% vs. 11.5%, p = 0.02)NOAF was associated with increased risk of hospital readmissions (62.5 vs. 34.8%, p = 0.04) (HR: 5.86, 95% CI 1.04, 32.94), excluding mortalityII
Barbash et al. (2015)371 subjectsPost-hoc analysisAssessment of clinical impact, post-procedural incidence, and baseline characteristics concerning atrial fibrillation in patients with TAVINOAF correlated with transapical access during TAVI (OR: 4.96, 95% CI 1.9, 13.2) and procedural hemodynamic instability (OR: 9.3, 95% CI 1.5, 59)II
Okuno et al. (2020)465 subjectsRetrospective assessment of a prospective trialAssessment of clinical outcomes of patients with TAVR and non-valvular or valvular atrial fibrillationValvular atrial fibrillation substantially increased the predisposition for disabling stroke or cardiovascular death after TAVR (HR: 1.77, 95% CI 1.07, 2.94) (p = 0.027)II

HR = hazard ratio; CI = confidence interval; LOS = length of stay; NOAF = new-onset atrial fibrillation; OR = odds ratio; pre-AF = pre-existing atrial fibrillation; TAVI = transcatheter aortic valve implantation; TAVR = transcatheter aortic valve replacement.

Table 2

Baseline characteristics of patients with pre-existing/new-onset atrial fibrillation.

StudyAmat-Santos et al. (2012)Biviano et al. (2016)/PARTNERChopard et al. (2015)/FRANCE-2Sannino et al. (2016)Stortecky et al. (2013)Tarantini et al. (2016)/SOURCE-XTYankelson et al. (2014)Nombela-Franco et al. (2012)Mentias et al. (2019)Maan et al. (2015)Yoon et al. (2019)Patil et al. (2020)Zweiker et al. (2017)Barbash et al. (2015)Okuno et al. (2020)
Age, yrs79 ± 886.1 [81.9,89.3]82.6 ± 7.481.9 ± 7.882.5 ± 5.881.6 ± 5.883.0 (5.6)81 ± 881.9 (8.1)84.18 ± 6.8379.6 ± 5.182 (6.9)82 (78–85)84 ± 781.71 ± 5.99
Male54 (39.1)57.7341 (54.4%)538 (50.7)5365 (47%)23 (46%)1,745 [55]83 (58%)
BMI, kg/m227 ± 525.2 [22.5,29.3]25.9 ± 5.127.9 ± 12.926.1 ± 5.126.7 ± 5.027.2 ± 5.126.0 ± 5.026.70 5.9023.8 ± 3.725 (23–28)25.53 ± 4.81
Diabetes52 (37.7)36710 (24.7)265 (40.1%)105 (27)219 (32.0%)124 (32.6%)312 (29.4)37.347 (34%)18 (36%)117 (29)43 (30%)28 (31.5)
Dyslipidemia114 (82.6)481 (69.6%)334 (48.8%)294 (77.4%)95 (69%)28 (56%)
Hypertension126 (91.3)92.82,011 (70.0)574 (82.2%)303 (78)550 (80.3%)331 (87.1%)790 (74.5)88.1109 (80%)45 (90%)330 (83)135 (94%)78 (87.6)
NYHA functional class I–II23 (16.7)4.9109 (28)134 (19.6%)
NYHA functional class III–IV115 (83.3)46.8–48.349 (13)550 (80.4%)886 (83.5)
Coronary artery disease90 (65.2)1,394 (48.5)475 (68.2%)238 (61)214 (56.3%)686 (64.7)2499 (72%)283 (71)81 (84%)51 (57.3)
Previous myocardial infarction48 (34.8)23.164 (16)63 (16.6%)377 (35.6)3 (6%)11 [0]3 (2)23 (17%)
Previous PCI55 (39.9)94 (24)198 (28.9%)161 (42.4%)51 (37%)13 (26%)137 (34)40 (29%)
Prior coronary artery bypass grafting52 (37.7)515 (17.9)296 (44.6%)72 (19)106 (15.5%)17.6 (6.7%)320 (30.2)55 (40%)4 (8%)60 (15)43 (31%)
Cerebrovascular disease31 (22.5)124 (19.5%)30 (8)191 (18.1)25 (18%)11 (12.4)
Peripheral vascular disease53 (38.4)793 (27.6)225 (34.0%)151 (22.1%)29 (7.6%)278 (26.2)26.542 (31%)4 (8%)42 (31%)
COPD (%)39 (28.3)45.1650 (22.6)132 (20.8%)156 (22.8%)18.4 (70%)310 (29.2)31.139 (28%)63 (16)53 (37%)
Creatinine, mg/dl1.18 (0.88–1.61)51.3 ± 19.81.33 ± 0.4798 (80–123)
eGFR < 60 ml/min89 (64.5)60.1 ± 27.8
Logistic EuroSCORE21.7 ± 15.720.8 ± 13.624.3 ± 14.222.4 ± 13.424.3 ± 14.114.33 ± 12.2420.2 ± 13.813.3 (7.8–23.8)
STS-PROM score, %7.4 ± 4.811.1 [9.6,13.5]13.6 ± 11.46.8 ± 5.38.5 ± 6.76.5 (4.3–9.7)6.88 ± 3.825.2 ± 3.26.3 (3.8–9.6)6.75 ± 3.92
CHADS2 score3 (3–4)5.7 ± 1.32.5 ± 0.92.9 ± 1.24.6 (1.2)4.4 ± 1.25 (5–6)2.75 ± 1.05
Severely calcified or porcelain aorta42 (30.4)38 (5.6%)193 (18.4)
Frailty24 (17.4)
Pulmonary hypertension13 (9.4)47.8639 (22.2)10.738 (28%)17 (34%)
Mean aortic gradient, mm Hg43 ± 1744.1 ± 13.644.2 ± 16.847.3 ± 1543 ± 1650.73 ± 16.2955.5 ± 18.345 (32–60)
Aortic valve area, cm20.6 (0.5–0.7)0.80.68 ± 0.180.6 ± 0.20.71 ± 0.190.66 ± 0.190.60 ± 0.130.6 ± 0.10.53 (0.41–0.66)0.64 ± 0.11
LVEF, %55 ± 1455.0 [44.4,60.0]54.6 ± 13.051.9 ± 14.855.8 ± 7.855.29 ± 17.1057.7 ± 9.530352 ± 1355 ± 15
LVEF < 4023 (16.7)197 (6.8)235 (22.1)32 (23%)041 (14)
Mitral regurgitation4 (2.9)3.448 (1.7)184 (27.3%)8 (6%)8 (16%)18 (14%)19 (26.4)
Left ventricular mass, g/m2125.5 ± 36.4
LVEDD, mm46.9 ± 7.944.58 ± 7.14
Left atrial size, mm44.7 ± 8.02746.7 ± 9.3
Left atrial size, indexed, mm/m226.4 ± 5.4
Systolic pulmonary pressure, mm Hg43.5 ± 11.947.8639 (22.2)230 (33.6%)45 (33–60)51 ± 19
Procedural success129 (93.5)947
Valve embolization1 (0.7)44 (4.1)4 (6%)
Need for hemodynamic support4 (2.9)
Major vascular complications13 (9.4)100 (9.4)1.62 (3%)167 [5]
Myocardial infarction08 (0.8)104 (15.2%)1 (1%)1 (1)00 (0.0)
Cerebrovascular event065 (6.5)4 (6%)5 (5.7)
Transient ischemic attack01 (0.4)29 (4.2%)99 [3]0 (0.0)
Stroke8 (5.8)26.7263 (9.1)17 (2.4%)17 (4.8)71 (10.4%)38 (10%)4.32 (3%)7 (14%)2 (1)5 (5.7)
Death10 (7.3)21 (3.0%)77 (22.6)6/70 (9%)9 (5)15 (10.3%)4 (4.6)
frailty0.2
Pacemaker status (%)17.9340 (11.8)102 (14.9%)40 (10.5%)727 (20%)344 [11]29 (17)
Liver disease (%)3.218 (2.6%)2.6
Rheumatic fever (%)1.5
Renal disease (Cr ≥ 2) (%)17.7345 (49.6%)268 (69)36.522 (44%)528 [17]7 (4)18 (13.8%)67 (75.3)

COPD: Chronic obstructive pulmonary disease; LVEF: Left ventricular ejection fraction; eGFR: Estimated glomerular filtration rate; EuroSCORE: The European System for Cardiac Operative Risk Evaluation Score; STS: Short-term risk calculator; BMI: Body mass index.

Fig. 1

Central Illustration a: Screening process for extracting the studies of interest.

Summary of sample size, method, interventions, findings, and evidence-levels of included studies. HR = hazard ratio; CI = confidence interval; LOS = length of stay; NOAF = new-onset atrial fibrillation; OR = odds ratio; pre-AF = pre-existing atrial fibrillation; TAVI = transcatheter aortic valve implantation; TAVR = transcatheter aortic valve replacement. Baseline characteristics of patients with pre-existing/new-onset atrial fibrillation. COPD: Chronic obstructive pulmonary disease; LVEF: Left ventricular ejection fraction; eGFR: Estimated glomerular filtration rate; EuroSCORE: The European System for Cardiac Operative Risk Evaluation Score; STS: Short-term risk calculator; BMI: Body mass index. Central Illustration a: Screening process for extracting the studies of interest.

Patient population

A total of 15 studies that enrolled 158,220 adult patients [>18 years of age] with TAVI/TAVR and NOAF/pre-AF were included in this systematic review and meta-analysis.

Clinical outcomes

The following primary clinical outcomes were considered for this systematic review/meta-analysis: 30-day mortality Stroke Early bleeding Late bleeding The secondary clinical outcomes included the following variables: Acute kidney injury [AKI] Length of stay [LOS]

Data analysis

A meta-analysis of the primary and secondary endpoints was performed by calculating the odds ratios [ORs] ] and 95% CIs [confidence intervals]. A random effect approach was used to configure forest plots for comparing the clinical outcomes in the setting of pre-AF, NOAF, and sinus rhythm [10]. RevMan 5.4 software [Cochrane, London, UK] was used to evaluate the outcome variables. The paired permutations considered NOAF/pre-AF as an intervention/study arm and sinus rhythm as the control arm. The Chi-squared, Tau-squared, and I-squared values indicated the heterogeneity of the study outcomes [11]. A heterogeneity score > 60% was used to investigate the variability of the reported results. Publication bias in the outcomes of included studies was assessed by the construction of funnel plots [12]. The pairwise assessment of the study outcomes guided the analysis of their clinical correlation with pre-AF/NOAF versus sinus rhythm. The quality of the selected studies reciprocated with their evidence levels. Additionally, the hazard ratios of the clinical outcomes of the included studies were examined in this systematic review [Table 1]. The statistical significance of the heterogeneity of the included studies was determined via two-tailed p-values [13]. The overall effect size [Z] indicated the magnitude/strength of the findings; however, its statistical significance relied on the respective p-values [14]. A p-value ≤ 0.05 was considered the standard parameter for determining the statistical significance of the study results.

Results

Clinical outcomes regarding new-onset atrial fibrillation

Seven studies indicated an elevated incidence of 30-day mortality in patients with aortic stenosis and TAVI/TAVR in the setting of NOAF [OR: 3.18 [95% CI 1.58, 6.40]] [Fig. 2a]. A p-value of 0.001 affirmed the statistical significance of the reported effect size of 3.25. The symmetrical forest plot negated the risk of publication bias in the reported findings [Fig. 2b]. The I-square value of 62% indicated the heterogeneity of the outcomes. However, the associated p-value of 0.007 negated the statistical significance of the reported heterogeneity.
Fig. 2

Clinical outcomes of patients with TAVI in the setting of NOAF a: 30-Day Mortality Forest plot. b: 30-Day Mortality Funnel plot; c: AKI Forest plot. d: AKI Funnel plot; e: Early Bleeding Forest plot; f: Early Bleeding Funnel plot AKI = acute kidney injury; NOAF = new-onset atrial fibrillation; TAVI = transcatheter aortic valve implantation.

Clinical outcomes of patients with TAVI in the setting of NOAF a: 30-Day Mortality Forest plot. b: 30-Day Mortality Funnel plot; c: AKI Forest plot. d: AKI Funnel plot; e: Early Bleeding Forest plot; f: Early Bleeding Funnel plot AKI = acute kidney injury; NOAF = new-onset atrial fibrillation; TAVI = transcatheter aortic valve implantation. Five studies affirmed the high incidence of AKI in patients with TAVR and NOAF as compared to patients in sinus rhythm [OR: 3.83 [95% CI 1.18, 12.42]] [Fig. 2c]. The p-value of 0.03 affirmed the statistical significance of the reported effect size of 2.23. The heterogeneity of findings was affirmed by a statistically significant I-square value of 89% [p < 0.00001]. The nearly symmetrical forest plot ruled out the risk of publication bias in the reported results [Fig. 2d]. Five studies confirmed the high incidence of early bleeding episodes in patients with TAVR and NOAF. This finding was supported by the odds ratio of 1.70 [95% CI 1.05, 2.74] [p = 0.03, Z = 2.18] [Fig. 2e]. The I-square value of 46% ruled out the heterogeneity in the reported outcomes; however, this finding proved statistically insignificant based on the p-value of 0.08. The nearly symmetrical funnel plot negated the risk of publication bias in the reported results [Fig. 2f]. Two studies provided statistically insignificant results related to the occurrence of late bleeding episodes in patients with TAVI and NOAF. The reported odds ratio of 1.29 [95% CI 0.95, 1.75] lacked statistical significance based on the p-value of 1.63 for the reported effect size [Z = 1.63] [Fig. 3a]. The I-square value of 20% revealed the absence of heterogeneity in the reported findings; however, the p-value of 0.29 did not affirm the variability of the outcome. The asymmetrical funnel plot further indicated the risk of publication bias in the findings related to late bleeding events [Fig. 3b].
Fig. 3

Clinical outcomes of patients with TAVR in the setting of NOAF a: Late Bleeding Forest plot. b. Late Bleeding Funnel plot; c: LOS Forest plot; d: LOS Funnel plot; e: Stroke Forest plot; f: Stroke Funnel plot LOS = length of stay; NOAF = new-onset atrial fibrillation; TAVR = transcatheter aortic valve replacement.

Clinical outcomes of patients with TAVR in the setting of NOAF a: Late Bleeding Forest plot. b. Late Bleeding Funnel plot; c: LOS Forest plot; d: LOS Funnel plot; e: Stroke Forest plot; f: Stroke Funnel plot LOS = length of stay; NOAF = new-onset atrial fibrillation; TAVR = transcatheter aortic valve replacement. Five studies revealed confirmed the clinical correlation between NOAF and extended LOS in TAVR [OR: 13.96 [95% CI, 6.41, 30.40] ] [Z = 6.64] [p < 0.00001] [Fig. 3c]. The statistically significant I-square value of 60% [p = 0.04] affirmed the heterogeneity in the reported findings regarding LOS. The symmetrical funnel plot ruled out the risk of publication bias in LOS-related findings [Fig. 3d]. The outcomes from eight studies revealed significant effect sizes confirming the high incidence of stroke episodes in patients with TAVI and NOAF [OR: 2.51 [95% CI 1.59, 3.97] ] [p < 0.0001] [Z = 3.93] [Fig. 3e]. The I-square outcome of 29% ruled out the heterogeneity in the reported findings; however, this result lacked statistical significance based on the p-value of 0.18. The symmetrical funnel plot negated the risk of publication bias in stroke-related results [Fig. 3f].

Clinical outcomes regarding pre-existing atrial fibrillation

Two studies indicated the high incidence of 30-day mortality in patients with TAVI/TAVR and pre-AF. The reported odds ratio of 1.80 [95% CI 0.92, 3.50], however, lacked statistical significance due to the reported p-value of 0.08 for the overall effect size [Z) of 1.73 [Fig. 4a]. The statistically significant I-square value of 82%, however, confirmed the heterogeneity of the reported results [p = 0.0008]. The symmetrical funnel plot ruled out the probability of publication bias in the results related to 30-day mortality in TAVI scenarios [Fig. 4]b].
Fig. 4

Clinical outcomes of patients with TAVI in the setting of pre-AF. 4a: 30-Day Mortality Forest plot; 4b: 30-Day Mortality Funnel plot; 4c: AKI Forest plot; 4d: AKI Funnel plot; 4e: Early Bleeding Forest plot; 4f: Early Bleeding Funnel plot. AKI = acute kidney injury; pre-AF = pre-existing atrial fibrillation; TAVI = transcatheter aortic valve implantation.

Clinical outcomes of patients with TAVI in the setting of pre-AF. 4a: 30-Day Mortality Forest plot; 4b: 30-Day Mortality Funnel plot; 4c: AKI Forest plot; 4d: AKI Funnel plot; 4e: Early Bleeding Forest plot; 4f: Early Bleeding Funnel plot. AKI = acute kidney injury; pre-AF = pre-existing atrial fibrillation; TAVI = transcatheter aortic valve implantation. Three studies showed a high incidence of AKI episodes in patients with TAVI and pre-AF [OR: 2.43 [95% CI 1.10, 5.35] ] [p = 0.03] [Z = 2.21] [Fig. 4c]. The statistically significant I-square value of 86% confirmed the heterogeneity in the reported results [p = 0.0007]. The nearly symmetrical funnel plot negated the risk of publication bias in AKI-related results [Fig. 4d]. One study provided a statistically significant OR of 17.41 [95% CI 6.49, 46.68] [p = 0.03] [Z = 2.14] confirming the high risk of early bleeding events in TAVR/TAVI cases [Fig. 4e]. The finding proved heterogeneous as compared to the outcomes of the other two studies that revealed no effect of pre-AF on early bleeding episodes in patients with TAVI. The nearly symmetrical funnel plot ruled out the risk of publication bias in findings related to early bleeding in TAVR/TAVI scenarios [Fig. 4f]. The outcome of one study revealed statistically insignificant findings affirming the absence of late bleeding episodes in patients with TAVI and pre-AF [OR: 1.20 [95% CI 0.53, 2.73] [p = 0.67] [Fig. 5a]. The symmetrical/coherent funnel plot, however, negated publication bias in the reported outcome [Fig. 5b].
Fig. 5

Clinical outcomes of patients with TAVR in the setting of pre-AF. a: Late Bleeding Forest plot. b: Late Bleeding Funnel plot; c: LOS Forest plot; d: LOS Funnel plot; e: Stroke Forest plot; f: Stroke Funnel plot. LOS = length of stay; pre-AF = pre-existing atrial fibrillation; TAVR = transcatheter aortic valve replacement.

Clinical outcomes of patients with TAVR in the setting of pre-AF. a: Late Bleeding Forest plot. b: Late Bleeding Funnel plot; c: LOS Forest plot; d: LOS Funnel plot; e: Stroke Forest plot; f: Stroke Funnel plot. LOS = length of stay; pre-AF = pre-existing atrial fibrillation; TAVR = transcatheter aortic valve replacement. Two studies revealed statistically insignificant OR related to the length of patient stay based on pre-AF in TAVI/TAVR scenarios [OR: 4.68 [95% CI 0.51, 43.20]] [Z = 1.36] [p = 0.17] [Fig. 5c]. The statistically significant I-square finding of 87% affirmed substantial heterogeneity in the reported outcomes [p = 0.006]. The symmetrical funnel plot negated the probability of publication bias in findings based on the LOS of patients with TAVR [Fig. 5d]. Two studies revealed statistically significant findings concerning the incidence of stroke events in patients with TAVR and pre-AF [OR: 1.71 [95% CI 0.67, 4.38] ] [Z = 1.12] [p = 0.26] [Fig. 5e]. However, the statistically significant I-square finding of 89% confirmed a high level of heterogeneity in the reported results [p = 0.00001]. The nearly symmetrical funnel plot negated the risk of publication bias in findings based on stroke episodes [Fig. 5f].

Discussion

This meta-analysis showed that NOAF was associated with an increased risk of 30-day mortality, AKI, early bleeding, stroke, and extended LOS in patients with TAVI/TAVR [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29] [Fig. 1]. The findings also showed that pre-AF was associated with an increased risk of AKI and early bleeding episodes in patients undergoing TAVR/TAVI. NOAF did not independently contribute to the late bleeding episodes in patients with TAVI. Pre-AF was not associated with an increase in 30-day mortality, late bleeding, stroke episodes, and increased LOS after TAVR. This study builds on the findings of the meta-analysis by Mojoli et al. [2017] that attributed episodes of major bleeding, stroke, and mortality after TAVR/TAVI to the presence of atrial fibrillation [30]. We add to their findings by reporting the association of NOAF and increased risk of secondary outcomes of AKI and LOS, in addition to the primary outcomes of stroke, early bleeding, and increased LOS in patients with TAVI/TAVR. These findings also support the results from a previously reported meta-analysis that correlated NOAF after TAVI with 1–2-year follow-up visits, cardiovascular events, and mortality [31]. The results of the present study elevated the generalizability of previously reported meta-analysis findings that confirmed the role of NOAF in increasing mortality risk by 17.5% after TAVR [32]. Future studies should analyze the need for antiplatelet and anticoagulation therapies, as well as other medical interventions, to minimize the incidence of clinical complications in patients with TAVI and NOAF [33]. It is well known that NOAF after TAVR develops in the setting of inflammatory processes [34]. For instance, previous studies showed that hypertensive patients undergoing TAVI who receive diuretics experience a high incidence of NOAF and its subsequent clinical complications. Baseline patient characteristics affect the clinical course of NOAF, and can ultimately increase the risk of embolic events, stroke, and bleeding after TAVR [35]. The access site or approach for TAVI [trans-femoral, trans-subclavian, direct aortic, trans-carotid, and trans-apical] also influences the development and clinical outcomes of NOAF in the treated patients. Vascular access injuries in many clinical scenarios have also been known to increase the risk of NOAF-related stroke, bleeding, and mortality. Furthermore, cardiac conduction abnormalities that arise because of TAVR/TAVI also trigger clinical complications in the setting of NOAF [36]. Finally, NOAF has been found associated with an increased risk of cardiac tamponade and heart failure after TAVR.

Limitations

This systematic review/meta-analysis is not without limitations. First, the role of mechanical complications, including embolization/dislodgement and balloon post-dilation, and their impact on atrial fibrillation and its clinical complications after TAVI was not assessed. Second, the obtained results do not delineate the causative factors contributing to the progression of NOAF and its adverse manifestations in TAVI/TAVR scenarios. Third, the data from the retrospective and prospective studies concerning NOAF or pre-existing AF [including duration, AF burden, treatment, etc.) are not concrete and robust. The inclusion of retrospective and prospective studies in this study attributed to the unavailability of the randomized controlled trials concerning NOAF versus pre-existing AF outcomes after TAVR implantation. The inclusion of these mixed studies impacted the data interpretation and restricted the validity, reliability, and generalizability of the outcomes across larger patient populations with TAVR.

Conclusions

This meta-analysis showed that atrial fibrillation is associated with a higher risk of all primary and secondary outcomes. Specifically, NOAF but not pre-AF is associated with a higher risk of 30-day mortality, stroke, and extended LOS in patients with TAVR/TAVI. Future studies are needed to comprehensively analyze the anatomic and metabolic pathways that trigger the onset of NOAF and its potentially fatal sequelae in patients undergoing TAVR/TAVI. Obtained findings may be useful in developing novel strategies for minimizing the incidence of 30-day mortality, early bleeding, stroke, AKI, and extended LOS in patients with TAVI/TAVR.

Protocol Registration

None.

Funding

The study was not supported by any funding sources

Author contributions

NN conceived the study hypothesis. NN, HA, KE, RB and AI designed the study and performed the systematic search, study selection, and data extraction. NN analyzed the data. All authors contributed to the interpretation of the data, writing and critical editing of the manuscript.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
  34 in total

1.  Baseline Characteristics and Prognostic Implications of Pre-Existing and New-Onset Atrial Fibrillation After Transcatheter Aortic Valve Implantation: Results From the FRANCE-2 Registry.

Authors:  Romain Chopard; Emmanuel Teiger; Nicolas Meneveau; Sidney Chocron; Martine Gilard; Marc Laskar; Hélène Eltchaninoff; Bernard Iung; Pascal Leprince; Karine Chevreul; Alain Prat; Michel Lievre; Alain Leguerrier; Patrick Donzeau-Gouge; Jean Fajadet; Gauthier Mouillet; Francois Schiele
Journal:  JACC Cardiovasc Interv       Date:  2015-08-24       Impact factor: 11.195

2.  Prevalence and Impact of Atrial Fibrillation in Patients With Severe Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement: An Analysis From the SOURCE XT Prospective Multicenter Registry.

Authors:  Giuseppe Tarantini; Marco Mojoli; Stephan Windecker; Olaf Wendler; Thierry Lefèvre; Francesco Saia; Thomas Walther; Paolo Rubino; Antonio L Bartorelli; Massimo Napodano; Augusto D'Onofrio; Gino Gerosa; Sabino Iliceto; Alec Vahanian
Journal:  JACC Cardiovasc Interv       Date:  2016-04-13       Impact factor: 11.195

3.  Temporal changes of new-onset atrial fibrillation in patients randomized to surgical or transcatheter aortic valve replacement.

Authors:  Troels Højsgaard Jørgensen; Hans Gustav Hørsted Thyregod; Julie Bjerre Tarp; Jesper Hastrup Svendsen; Lars Søndergaard
Journal:  Int J Cardiol       Date:  2017-02-24       Impact factor: 4.164

4.  Impact of atrial fibrillation on outcomes in patients who underwent transcatheter aortic valve replacement.

Authors:  Abhishek Maan; E Kevin Heist; Jonathan Passeri; Ignacio Inglessis; Joshua Baker; Leon Ptaszek; Gus Vlahakes; Jeremy N Ruskin; Igor Palacios; Thoralf Sundt; Moussa Mansour
Journal:  Am J Cardiol       Date:  2014-10-29       Impact factor: 2.778

5.  Atrial fibrillation and aortic stenosis: impact on clinical outcomes among patients undergoing transcatheter aortic valve implantation.

Authors:  Stefan Stortecky; Lutz Buellesfeld; Peter Wenaweser; Dik Heg; Thomas Pilgrim; Ahmed A Khattab; Steffen Gloekler; Christoph Huber; Fabian Nietlispach; Bernhard Meier; Peter Jüni; Stephan Windecker
Journal:  Circ Cardiovasc Interv       Date:  2013-02-05       Impact factor: 6.546

6.  Frequency of and Prognostic Significance of Atrial Fibrillation in Patients Undergoing Transcatheter Aortic Valve Implantation.

Authors:  Anna Sannino; Robert C Stoler; Brian Lima; Molly Szerlip; A Carl Henry; Ravi Vallabhan; Robert C Kowal; David L Brown; Michael J Mack; Paul A Grayburn
Journal:  Am J Cardiol       Date:  2016-08-23       Impact factor: 2.778

7.  Incidence, Predictors, Management, and Clinical Significance of New-Onset Atrial Fibrillation After Transcatheter Aortic Valve Implantation.

Authors:  Yong-Hoon Yoon; Jung-Min Ahn; Do-Yoon Kang; Euihong Ko; Pil Hyung Lee; Seung-Whan Lee; Ho Jin Kim; Joon Bum Kim; Suk Jung Choo; Duk-Woo Park; Seung-Jung Park
Journal:  Am J Cardiol       Date:  2019-01-05       Impact factor: 2.778

8.  Valvular and Nonvalvular Atrial Fibrillation in Patients Undergoing Transcatheter Aortic Valve Replacement.

Authors:  Taishi Okuno; Daniel Hagemeyer; Nicolas Brugger; Christoph Ryffel; Dik Heg; Jonas Lanz; Fabien Praz; Stefan Stortecky; Lorenz Räber; Laurent Roten; Tobias Reichlin; Stephan Windecker; Thomas Pilgrim
Journal:  JACC Cardiovasc Interv       Date:  2020-09-28       Impact factor: 11.195

Review 9.  Transcatheter aortic valve replacement and stroke: a comprehensive review.

Authors:  Periklis A Davlouros; Virginia C Mplani; Ioanna Koniari; Grigorios Tsigkas; George Hahalis
Journal:  J Geriatr Cardiol       Date:  2018-01       Impact factor: 3.327

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