Literature DB >> 34888505

The Association of Atrial Fibrillation Before Percutaneous Coronary Intervention With 1-Year Outcome in ST-Elevation Myocardial Infarction Patients.

Eero Anttonen1,2, Olli Punkka1,2, Joonas Leivo1,2, Sanjit S Jolly3,4,5, Vladimír Džavík6, Jyri Koivumäki1, Minna Tahvanainen1, Kimmo Koivula2,7, Kjell Nikus1,2, Jia Wang3,4,5, John A Cairns8, Kari Niemelä1, Markku Eskola1,2.   

Abstract

BACKGROUND: We aimed to determine the association of atrial fibrillation (AF) with 1-year outcome in ST-elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI).
METHODS: Patients (n = 8830) enrolled in the Trial of Routine Aspiration Thrombectomy with PCI vs PCI Alone in Patients With STEMI (TOTAL) were followed for 1 year. The primary outcome was a composite of cardiovascular death, recurrent myocardial infarction, cardiogenic shock, or new or worsening class IV heart failure. The presence or absence of AF was determined from a single pre-PCI electrocardiogram.
RESULTS: Patients with AF (n = 437; 4.9%) were older, and more often had a history of stroke, hypertension, or myocardial infarction. The rate of the primary outcome was higher in the AF group than in the sinus rhythm (SR) group (17.4% vs 7.4%, P < 0.001), as was the rate of cardiovascular death (9.8% vs 3.3%, P < 0.001). In multivariable analysis, AF was independently predictive of the primary outcome (adjusted hazard ratio [aHR] 1.68; 95% confidence interval [CI], 1.30-2.16, P < 0.001), cardiovascular death (aHR 1.69; 95% CI, 1.19-2.40, P = 0.003), all-cause mortality (aHR 1.63; 95% CI, 1.18-2.24, P = 0.003), and severe heart failure (aHR 1.96; 95% CI, 1.25-3.07, P = 0.003). Among patients who were in SR, the primary outcome occurred in 307 of 4252 (7.2%) in the thrombectomy group and 310 of 4141 (7.5%) in the PCI alone group, and among those with AF, these rates were respectively 42 of 218 (19.3%) and 34 of 219 (15.5%) (P interaction = 0.26).
CONCLUSIONS: In STEMI patients, AF on the pre-PCI electrocardiogram is associated with a higher risk of the primary composite cardiovascular outcome, all-cause and cardiovascular death, and severe heart failure during 1-year follow-up than it is in patients with SR.
© 2021 The Authors.

Entities:  

Year:  2021        PMID: 34888505      PMCID: PMC8636243          DOI: 10.1016/j.cjco.2021.06.001

Source DB:  PubMed          Journal:  CJC Open        ISSN: 2589-790X


Atrial fibrillation (AF) accompanies acute myocardial infarction (AMI) in 2.3% to 21% of cases., The reported prevalence of AF before percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI) is 3.0% to 4.7%.3, 4, 5, 6 Several recent studies have indicated a negative impact of AF on the long-term outcome of STEMI patients treated with primary PCI.,,6, 7, 8, 9, 10 Conversely, in other studies, AF on admission did not affect long-term outcome after STEMI.11, 12, 13 Thus, controversy remains regarding the long-term prognostic value of AF on the admission electrocardiogram (ECG) of STEMI patients undergoing primary PCI. The aim of the present study, an ancillary study of the Trial of Routine Aspiration Thrombectomy with PCI vs PCI Alone in Patients With STEMI (TOTAL), was to define whether AF on the pre-procedural ECG in STEMI patients undergoing primary PCI is associated with the long-term outcome.

Material and Methods

Patients and randomization

The design of the TOTAL trial has been described previously. In brief, the TOTAL trial was an international, investigator-initiated, multicentre, prospective, randomized trial of routine upfront manual aspiration thrombectomy vs PCI alone. Between Aug 5, 2010 and July 25, 2014, a total of 10,732 STEMI patients were enrolled and randomly assigned to 1 of 2 treatment groups—manual aspiration thrombectomy followed by PCI, or PCI alone. The study protocol specified the recording of a pre-procedural ECG in all eligible patients, accompanied by a second recording 30-60 minutes after the index procedure. All clinical outcomes were treated as time-to-event data. All patients were followed for the prespecified study period or until death. Missing outcome data were handled by censoring in the time-to-event analysis. Follow-up was completed in 99% of patients at 1 year. The TOTAL trial was approved by the ethics committees at each participating centre and by the national regulatory authorities in all countries where the trial was conducted. All the ECGs from the TOTAL trial were analyzed manually in the ECG core laboratory at the Heart Hospital, Tampere University Hospital (Tampere, Finland), and all the readers were blinded to the treatment assignment, as well as to clinical and angiographic findings. This electrocardiographic substudy was prespecified, including the statistical analysis. For this substudy, we selected all patients who had undergone the index PCI and had a baseline pre-procedural ECG recorded (n = 10,064) showing AF (n = 428), atrial flutter (n = 9), or sinus rhythm (SR; n = 8393). The exclusion criteria included missing data on pre-ECG rhythm in the case record form (n = 576), and rhythm other than AF, atrial flutter, or SR (n = 658). The final study population comprised 8830 patients.

Study outcomes

The primary outcome of this ancillary study was a composite of cardiovascular death, recurrent MI, cardiogenic shock, and new or worsening New York Heart Association (NYHA) class IV heart failure within 1 year of randomization. The components of the primary outcome were identical to those in the main TOTAL trial. A key secondary outcome was the primary outcome plus stent thrombosis or target-vessel revascularization. All-cause mortality and major bleeding were additional secondary outcomes. The primary safety outcome was stroke, and the key net-benefit outcome was the composite of the primary efficacy outcome plus the primary safety outcome.

Subgroup analysis

The comparative rates of the 1-year primary outcome were also determined in the following subgroups: initial thrombolysis in myocardial infarction (TIMI) thrombus grade (grade < 3 vs grade ≥ 3; and grade < 4 vs grade ≥ 4); symptom onset (< 6 hours vs 6-12 hours); initial TIMI flow 0-1 vs 2-3 (with a higher grade indicating better flow); site PCI volume (centres reported annual primary PCI volume and were then ranked and divided by thirds for subgroup analysis by centre volume); MI type (anterior vs non-anterior); age (≤ 65 years vs > 65 years); smoking (yes/no); diabetes (yes/no); bivalirudin usage (yes/no); glycoprotein IIb/IIIa usage (yes/no); proximal lesion (yes/no); gender (male/female); and prior anticoagulation (yes/no).

ECG analysis

ST elevation (STE) was measured from the J point, using the TP segment as the isoelectric line. As investigators were unaware of the patients’ age and gender, a modified cut-point of 0.2 mV for STE in leads V2-V3 was used. For all the other leads, except the augmented vector right (aVR) lead, the guideline-based cutoff of ≥ 0.1 mV in 2 or more contiguous leads was used. The STEMI location was defined based on the location of the STE, as anterior (leads V1-V4 [-V5]); inferior (leads II, III, aVF); lateral (leads I, augmented vector left [aVL], V5-V6); or other. The anterior and inferior MI locations were used in those patients in whom the cutoff values of STE were fulfilled for both locations; these patients were included in the lateral or other group. Pathologic Q waves were defined as any Q-wave duration of 0.02 seconds or more, or a QS complex in leads V2 and/or V3. Regarding other leads, a Q-wave duration of ≥ 0.03 seconds and depth ≥ 0.1 mV was considered a pathologic Q wave, if observed in ≥ 2 contiguous leads. Q waves in leads aVR, III, and V1 were not taken into account. The rhythm was analyzed manually. AF and atrial flutter were combined because of the low number of ECGs with atrial flutter (n = 9), and therefore, in the study results, the designation “AF” includes atrial flutter.

Statistical analyses

Categorical variables were documented as counts and percentages; continuous variables were documented as means with standard deviations (SDs) or as medians with interquartile ranges (IQRs). Comparisons between AF and SR patients were made using the χ2 test for categorical variables, and a 2-sample t test or a Wilcoxon rank-sum test for normally and non-normally distributed continuous variables, respectively. The Cox proportional hazards regression model was used to assess the effect of AF on the risk of primary and secondary outcomes, adjusted for age, time from symptom onset, gender, location of MI, current smoking, previous stroke, previous hypertension, previous diabetes mellitus, previous MI, previous PCI, Killip class (≥ 2), and proximal lesion. The proportional hazards assumption of the Cox model and the linearity of continuous covariates were assessed using the Kolmogorov-type supremum test and restricted cubic spline plots, respectively. No violation was detected. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. The adjusted cumulative incidence curves of the primary outcome and cardiovascular death for AF and SR patients were generated by the average of the predicted cumulative incidence curves for the study population based on the above-mentioned multivariable Cox models. Interactions between predefined subgroups and rhythm (AF vs SR) on the primary outcome were analyzed by likelihood ratio test of the interaction term in the unadjusted Cox regression model. A 2-tailed P-value of < 0.05 was considered statistically significant. All analyses were performed with SAS version 9.4 (SAS Institute, Inc., Cary, NC).

Results

AF on admission was observed in 437 (4.9%) of 8830 TOTAL STEMI patients with available data. The baseline characteristics of patients according to rhythm are presented in Table 1. Compared to patients with SR, patients with AF were older and more often female, had a higher heart rate, lower systolic and diastolic blood pressure, and a higher prevalence of Killip class ≥ 2. AF patients also more often presented with a medical history of previous stroke, MI, and hypertension. An inferior infarct location was more frequent in the AF group.
Table 1

Baseline characteristics of patients according to the rhythm on the pre-percutaneous coronary intervention (PCI) electrocardiogram*

CharacteristicsAll (N = 8830)AF/Flutter (n = 437)Sinus rhythm (n = 8393)P
Age, y60.8 ± 11.867.7 ± 11.860.4 ± 11.7< 0.001
Age > 75 y1090 (12.3)118 (27.0)972 (11.6)< 0.001
Gender, male6881 (77.9)318 (72.8)6563 (78.2)0.008
Heart rate, bpm77.0 ± 17.186.8 ± 26.576.5 ± 16.3< 0.001
Systolic BP, mm Hg135.9 ± 26.3128.1 ± 28.1136.3 ± 26.2< 0.001
Diastolic BP, mm Hg82.6 ± 16.480.2 ± 18.382.8 ± 16.20.004
BMI, kg/m227.6 ± 4.627.7 ± 4.927.6 ± 4.60.870
Killip class ≥ 2365 (4.1)34 (7.8)331 (3.9)< 0.001
Location of MI0.006
 Anterior3660 (41.4)149 (34.1)3511 (41.8)
 Inferior4699 (53.2)268 (61.3)4431 (52.8)
 Lateral or other465 (5.3)20 (4.6)445 (5.3)
Medical history
 Previous stroke261 (3.0)35 (8.0)226 (2.7)< 0.001
 Hypertension4398 (49.8)267 (61.1)4131 (49.2)< 0.001
 Diabetes1595 (18.1)91 (20.8)1504 (17.9)0.124
Previous MI817 (9.3)61 (14.0)756 (9.0)< 0.001
Previous PCI750 (8.5)46 (10.5)704 (8.4)0.118
Peripheral arterial disease203 (2.3)23 (5.3)180 (2.1)< 0.001
Current smoker4037 (45.7)159 (36.4)3878 (46.2)< 0.001

Values are n (%) or mean ± standard deviation, unless otherwise indicated.

AF, atrial fibrillation; BMI, body mass index; BP, blood pressure; bpm, beats per minute; MI, myocardial infarction; PCI, percutaneous coronary intervention.

The analysis population was defined as STEMI patients with sinus rhythm or AF/Atrial flutter in the pre-PCI ECG.

P value is from χ2 test for categorical variables, and 2-sample t test for continuous variables.

Baseline characteristics of patients according to the rhythm on the pre-percutaneous coronary intervention (PCI) electrocardiogram* Values are n (%) or mean ± standard deviation, unless otherwise indicated. AF, atrial fibrillation; BMI, body mass index; BP, blood pressure; bpm, beats per minute; MI, myocardial infarction; PCI, percutaneous coronary intervention. The analysis population was defined as STEMI patients with sinus rhythm or AF/Atrial flutter in the pre-PCI ECG. P value is from χ2 test for categorical variables, and 2-sample t test for continuous variables. Procedure-related characteristics of the 2 study groups are summarized in Table 2. Patients with AF were more likely to have had a totally occluded infarct-related artery (TIMI flow 0) before the index PCI and to undergo bailout thrombectomy than those with SR. Drug-eluting stents were more often used in patients with SR compared with patients who had AF. Oral anticoagulant use prior to hospitalization and at hospital discharge was more frequent in the AF than in the SR group (15.6% vs 0.9%, P < 0.001 and 27.5% vs 4.8%, P < 0.001, respectively). Sheath size did not differ between the 2 groups.
Table 2

Procedure characteristics of patients according to the rhythm on the pre-percutaneous coronary intervention (PCI) electrocardiogram

ProcedureAll (N = 8830)AF/flutter (n = 437)Sinus rhythm (n = 8393)P*
Transported by ambulance5802 (65.7)307 (70.3)5495 (65.5)0.042
Initial PCI procedure
Onset to hospital, min122.0 (72.0–220.0)122.0 (76.0–215.0)122.0 (71.0–220.0)0.671
Hospital to procedure, min53.0 (23.0–90.0)46.0 (22.0–90.0)53.0 (23.0–90.0)0.278
Radial access6017 (68.1)278 (63.6)5739 (68.4)0.037
Sheath size, French0.813
 ≤ 5153 (1.7)9 (2.1)144 (1.7)
 68462 (95.8)415 (95.0)8047 (95.9)
 7202 (2.3)12 (2.7)190 (2.3)
Medication use
Unfractionated heparin7259 (82.2)356 (81.5)6903 (82.2)0.677
Bivalirudin1679 (19.0)85 (19.5)1594 (19.0)0.812
Enoxaparin764 (8.7)29 (6.6)735 (8.8)0.124
Glycoprotein IIb/IIIa inhibitor
 Upfront2194 (24.8)80 (18.3)2114 (25.2)0.001
 Bailout1337 (15.1)60 (13.7)1277 (15.2)0.398
Initial TIMI thrombus grade0.064
 0237 (2.7)11 (2.5)226 (2.7)
 1461 (5.2)9 (2.1)452 (5.4)
 2250 (2.8)13 (3.0)237 (2.8)
 3951 (10.8)40 (9.2)911 (10.9)
 41235 (14.0)68 (15.6)1167 (13.9)
 55690 (64.4)296 (67.7)5394 (64.3)
TIMI 0 flow before PCI5842 (66.2)309 (70.7)5533 (65.9)0.039
Upfront manual thrombectomy4327 (49.0)213 (48.7)4114 (49.0)0.911
Bailout thrombectomy310 (3.5)35 (8.0)275 (3.3)< 0.001
Use of stenting
 Direct stenting2646 (30.0)110 (25.2)2536 (30.2)0.025
 Type of stent
  Bare metal4594 (52.0)266 (60.9)4328 (51.6)< 0.001
  Drug-eluting3979 (45.1)145 (33.2)3834 (45.7)< 0.001
 No. of stents1.4 ± 0.71.4 ± 0.71.4 ± 0.70.742
 Total stent length, mm21.3 ± 6.520.9 ± 6.321.3 ± 6.50.141
 Stent diameter, mm3.1 ± 0.53.2 ± 0.53.1 ± 0.50.011
Median PCI procedure time, min37.0 (27.0–50.0)40.0 (29.0–55.0)37.0 (27.0–50.0)0.003
Concomitant medications within 7 d prior to hospitalization
ASA1353 (15.3)82 (18.8)1271 (15.1)0.040
Clopidogrel210 (2.4)11 (2.5)199 (2.4)0.845
Prasugrel18 (0.2)2 (0.5)16 (0.2)0.223
Ticagrelor33 (0.4)3 (0.7)30 (0.4)0.223
Oral anticoagulants140 (1.6)68 (15.6)72 (0.9)< 0.001
Concomitant medications during initial hospitalization
ASA8640 (97.8)426 (97.5)8214 (97.9)0.589
Clopidogrel6236 (70.6)329 (75.3)5907 (70.4)0.028
Prasugrel1298 (14.7)47 (10.8)1251 (14.9)0.017
Ticagrelor2198 (24.9)95 (21.7)2103 (25.1)0.118
Oral anticoagulants522 (5.9)112 (25.6)410 (4.9)< 0.001
Concomitant medications at discharge
ASA8605 (97.5)398 (91.1)8207 (97.8)< 0.001
Clopidogrel5387 (61.0)287 (65.7)5100 (60.8)0.040
Prasugrel1090 (12.3)28 (6.4)1062 (12.7)< 0.001
Ticagrelor1920 (21.7)69 (15.8)1851 (22.1)0.002
Oral anticoagulants524 (5.9)120 (27.5)404 (4.8)< 0.001

Values are n (%), median (IQR), or mean ± standard deviation, unless otherwise indicated. Wilcoxon test was used for non-normally distributed variables.

ASA, acetylsalicylic acid; IQR, interquartile range; TIMI, thrombolysis in myocardial infarction.

P value is from χ2 test for categorical variables, and 2-sample t test for normally distributed variables.

Procedure characteristics of patients according to the rhythm on the pre-percutaneous coronary intervention (PCI) electrocardiogram Values are n (%), median (IQR), or mean ± standard deviation, unless otherwise indicated. Wilcoxon test was used for non-normally distributed variables. ASA, acetylsalicylic acid; IQR, interquartile range; TIMI, thrombolysis in myocardial infarction. P value is from χ2 test for categorical variables, and 2-sample t test for normally distributed variables. Table 3 shows the unadjusted and adjusted analyses for the primary and secondary outcomes. The rate of the primary outcome was higher in the AF group than in the sinus rhythm (SR) group (17.4% vs 7.4%, P < 0.001), as was the rate of cardiovascular death (9.8% vs 3.3%, P < 0.001). In the multivariable analysis, AF in the pre-PCI ECG independently predicted a higher rate of primary outcome (adjusted HR 1.68; 95% CI, 1.30-2.16, P < 0.001; Fig. 1A), key secondary outcome (adjusted HR 1.56; 95% CI, 1.24-1.95, P < 0.001), and cardiovascular death (adjusted HR 1.69; 95% CI, 1.19-2.40, P = 0.003; Fig. 1B) compared to the rate in patients with SR within the 1-year follow-up period. AF was also independently associated with a higher risk of all-cause mortality (adjusted HR 1.63; 95% CI, 1.18-2.24, P = 0.003), severe heart failure (adjusted HR 1.96; 95% CI, 1.25-3.07, P = 0.003), and net risk–benefit risk outcome (adjusted HR 1.62; 95% CI, 1.26-2.08, P < 0.001). Stroke did not maintain its statistical significance after adjustments for confounding factors.
Table 3

Primary and secondary outcomes at 1 year, according to the rhythm on the pre-percutaneous coronary intervention electrocardiogram

Unadjusted
Adjusted*
OutcomesAF/flutter, n (%) (n = 437)Sinus rhythm, n (%) (n = 8393)HR (95% CI)PHR (95% CI)P
Primary and secondary outcomes
 Primary outcome76 (17.4)617 (7.4)2.51 (1.97–3.19)< 0.0011.68 (1.30–2.16)< 0.001
  Cardiovascular death43 (9.8)274 (3.3)3.12 (2.26–4.31)< 0.0011.69 (1.19–2.40)0.003
  Recurrent MI12 (2.7)204 (2.4)1.17 (0.66–2.10)0.5910.99 (0.55–1.79)0.965
  Cardiogenic shock16 (3.7)153 (1.8)2.05 (1.22–3.45)0.0061.40 (0.80–2.48)0.242
  Class IV heart failure24 (5.5)157 (1.9)3.08 (2.01–4.74)< 0.0011.96 (1.25–3.07)0.003
 CVD, MI, CardShock, HF, stent thrombosis, TVR94 (21.5)909 (10.8)2.13 (1.72–2.64)< 0.0011.56 (1.24–1.95)< 0.001
 All-cause mortality50 (11.4)327 (3.9)3.06 (2.27–4.12)< 0.0011.63 (1.18–2.24)0.003
 Stent thrombosis5 (1.1)166 (2.0)0.60 (0.24–1.45)0.2550.47 (0.19–1.15)0.099
 Definite stent thrombosis4 (0.9)117 (1.4)0.67 (0.25–1.82)0.4340.59 (0.22–1.62)0.307
 Target vessel revascularization23 (5.3)450 (5.4)1.03 (0.67–1.56)0.9060.93 (0.61–1.43)0.753
 Major bleeding14 (3.2)154 (1.8)1.81 (1.05–3.13)0.0331.32 (0.75–2.31)0.336
Safety outcome
 Stroke12 (2.7)75 (0.9)3.21 (1.75–5.91)< 0.0011.84 (0.95–3.58)0.071
 TIA1 (0.2)19 (0.2)1.06 (0.14–7.88)0.9580.78 (0.10–5.97)0.808
 Stroke/TIA13 (3.0)93 (1.1)2.80 (1.57–5.01)< 0.0011.69 (0.90–3.16)0.102
Net risk–benefit risk outcome
 CVD, MI, CardShock, HF, stroke80 (18.3)663 (7.9)2.46 (1.95–3.11)< 0.0011.62 (1.26–2.08)< 0.001

AF, atrial fibrillation; CardShock, cardiogenic shock; CI, confidence interval; CVD, cardiovascular disease; HF, heart failure; HR,hazard ratio; MI, myocardial infarction; TVR, target vessel revascularization; TIA, transient ischemic attack.

Adjusted for age, symptom onset (6-12 h vs < 6 h), gender, MI type, current smoking, previous hypertension, previous diabetes, previous MI, previous PCI, proximal lesion, previous stroke, and Killip class.

Figure 1

Adjusted cumulative incidence of (A) the primary outcome (death from cardiovascular causes, recurrent myocardial infarction, cardiogenic shock, new or worsening New York Heart Association class IV heart failure) and (B) cardiovascular death, constructed with multivariable Cox models in patients with atrial fibrillation (AF) and sinus rhythm within 1-year of follow-up, along with the corresponding adjusted hazard ratios (HRs) from the multivariable analysis. CI, confidence interval.

Primary and secondary outcomes at 1 year, according to the rhythm on the pre-percutaneous coronary intervention electrocardiogram AF, atrial fibrillation; CardShock, cardiogenic shock; CI, confidence interval; CVD, cardiovascular disease; HF, heart failure; HR,hazard ratio; MI, myocardial infarction; TVR, target vessel revascularization; TIA, transient ischemic attack. Adjusted for age, symptom onset (6-12 h vs < 6 h), gender, MI type, current smoking, previous hypertension, previous diabetes, previous MI, previous PCI, proximal lesion, previous stroke, and Killip class. Adjusted cumulative incidence of (A) the primary outcome (death from cardiovascular causes, recurrent myocardial infarction, cardiogenic shock, new or worsening New York Heart Association class IV heart failure) and (B) cardiovascular death, constructed with multivariable Cox models in patients with atrial fibrillation (AF) and sinus rhythm within 1-year of follow-up, along with the corresponding adjusted hazard ratios (HRs) from the multivariable analysis. CI, confidence interval. Similar analyses for the primary and secondary outcomes reported above were conducted with exclusion of all patients with known oral anticoagulant use prior to hospitalization (Supplemental Table S1). The results for primary outcome, cardiovascular death, all-cause mortality, key secondary outcome, and net risk–benefit risk outcome all retained their statistical significance after multivariable analysis, and the results were fairly similar to those from analyses conducted without patient exclusions, as presented in Table 3. No significant difference in the effect of AF on the primary outcome among the different subgroups was detected (Fig. 2). The effect of routine thrombectomy compared with PCI alone on the primary outcome and its components was explored in the AF and SR groups, and we did not detect any statistically significant difference between the 2 rhythm groups (Supplemental Table S2).
Figure 2

Subgroup analysis for the 1-year primary outcome (composite of cardiovascular death, recurrent myocardial infarction (MI), cardiogenic shock, new or worsening New York Heart Association (NYHA) class IV heart failure). AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio; PCI, percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction.

Subgroup analysis for the 1-year primary outcome (composite of cardiovascular death, recurrent myocardial infarction (MI), cardiogenic shock, new or worsening New York Heart Association (NYHA) class IV heart failure). AF, atrial fibrillation; CI, confidence interval; HR, hazard ratio; PCI, percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction. The 437 AF patients were divided into 2 groups according to antithrombotic medication at discharge. The differences for primary and secondary outcomes between the groups are shown in Supplemental Table S3. At discharge, 120 AF patients (27.5%) were on oral anticoagulant (OAC) therapy, and 293 AF patients (67%) were discharged with only antiplatelet medication (one or more drugs). In 24 patients (5.5%), data regarding the discharge medication were missing. The primary outcome occurred in 21 patients (17.5%) in the OAC group, and 32 patients (10.9%) in the antiplatelet group. Major bleeding was more frequent in the OAC group (6.7% vs 1.7%, P = 0.015). The incidence of ischemic/hemorrhagic stroke was also higher in the OAC group (7.5% vs 0.7%, P = 0.002).

Discussion

In this study, we have demonstrated an increased risk of the composite outcome of cardiovascular death, recurrent MI, cardiogenic shock, or new or worsening heart failure, in patients undergoing primary PCI for STEMI who had AF on presentation. Although patients with AF were older and had more unfavorable baseline characteristics than those with SR, the main study results were concordant across the studied subgroups as well as in the adjusted multivariable analysis. The fact that patients with AF were more likely to have suffered a stroke during follow-up is not surprising, highlighting the importance of effective anticoagulation therapy. Only 15.6% of the AF patients were already using oral anticoagulation prior to hospitalization, and a total of 27.5% of the AF patients were discharged with an oral anticoagulant. The low rate of OAC usage prior to hospitalization might suggest that the majority of the AFs were new onset. However, even a known history of AF does not necessarily correlate with a high rate of OAC use. In the secondary analysis of the Prognosis and Risk of ACS in Sweden (PRACSIS) study, Poçi et al. showed that only 18% of patients with permanent AF, and 41% of patients with known persistent or paroxysmal AF, were taking warfarin at the time of hospital admission. At the time this study was conducted, the treatment options regarding antithrombotic therapy of patients with acute coronary syndrome with concurrent AF were heterogeneous; thus, the proportion of AF patients discharged on OAC reflects the true rate at that time period. Nowadays, the decision regarding antiplatelet/antithrombotic therapy is based on practical guidelines, by assessing each patient's individual risk for bleeding, ischemic stroke, and future coronary events., Given that precedent or subsequent ECG recordings were unavailable for this study, the information on whether AF was truly preexisting vs new-onset could not be reliably determined. An attempt to distinguish the most representative group of new-onset AF patients was carried out by excluding all patients with known prior OAC use before hospitalization. Although no remarkable differences were observed for the outcomes, compared to the results with no exclusions, half of the strokes (n = 6) occurred in this small, excluded group of 68 AF patients. AF patients discharged on OAC therapy had a higher rate of the study outcome parameters than did those on antiplatelet medication. However, with the small number of patients and no adjustments for confounding factors, these results are prone to bias. In addition, the proportion of AF patients in the antiplatelet group who might have received OACs later on during the 1-year follow-up could not be assessed. Some data related to this subject can be derived from an observational study by Guenancia et al., in which AMI patients presenting with new-onset paroxysmal AF, within the first 2 days after AMI, had an AF recurrence rate of 13%-24% after discharge, at a median follow-up time of 1037 days. Drug-eluting stents were less frequently used in patients with AF than in those with SR. The probable reason for a higher rate of use of bare metal stents in AF patients stems from the fact that a longer duration of anti-platelet therapy has been recommended with drug-eluting stents, at least at the time of the study; this increased duration could result in more bleeding complications. However, Kiviniemi et al. showed that outcomes of treatment with bare metal stents and drug-eluting stents are comparable, and that concerns regarding complications of bare metal stent use might be overemphasized. Numerous studies have explored the association of AF with STEMI outcome. Hwang et al. found that AF on admission was an independent risk factor for all-cause mortality during 1-year follow-up in STEMI patients undergoing primary PCI. According to Topaz et al., new-onset and preexisting AF showed a trend for increased mortality, but only preexisting AF was an independent risk factor associated with a 5-fold increase for both short- and long-term mortality. In a massive AMI patient cohort (n = 155,071) of the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART) registry, AF was associated with worse outcome regardless of the temporal subtype of AF and of the MI category (STEMI vs non-STEMI). Other studies found no independent prognostic value of preexisting AF or AF recorded in the acute phase for the long-term outcome of STEMI patients. A study conducted by Beukema et al. investigated the prognostic value of AF present before or after a primary PCI procedure in patients with STEMI. Although both of the AF categories were associated with increased long-term mortality (mean follow-up 481 days), compared to that for patients with SR, only AF that was diagnosed after the primary PCI procedure retained its statistical significance after multivariable analysis. In a cohort study by Consuegra-Sánchez et al., neither preexisting nor new-onset AF independently predicted long-term outcome in STEMI patients within a median follow-up time of 7.2 years, although new-onset AF independently predicted higher in-hospital mortality. El-Omar et al. concluded that AF is a marker of unfavorable short- and long-term outcome after PCI in AMI, but this was due to the associated risk factors, rather than to the AF itself. Interestingly, although in our study, the patients with AF were relatively younger than those in other studies with similar outcome results, the prevalence of AF on admission was 4.9%, in line with the percentage in previous studies.3, 4, 5, 6, 7, Differences in inclusion criteria and patient characteristics could account for some of the observed outcome differences between the previous and the present study. In the main TOTAL study, routine manual thrombectomy, as compared with PCI alone, did not reduce the risk of primary outcome. Similar results were found in both the AF and SR groups. This similarity is important, as embolic MI due to AF may be different pathophysiologically and so could respond better to thrombus aspiration. Angiographic core lab assessment for embolic vs other cause was not available for this study. Our study shows that although STEMI patients presenting with AF before PCI tend to be older and bear more unfavorable baseline characteristics than do patients with SR, the dysrhythmia is also independently associated with impaired long-term outcome. The data reinforce the basis for the latest guidelines on the importance of notifying patients of AF in the acute phase and tailoring the treatment according to individual patient characteristics. This patient group might also benefit from a closer follow-up after discharge, with repeated evaluation and management of risk factors for thromboembolism and bleeding. Future studies to assess ways to reduce the impact of AF on long-term prognosis are required.

Strengths and limitations

A clear strength of this study is the large study population. This was a prespecified ancillary analysis of the TOTAL trial, which was an international, investigator-initiated, multicentre, prospective, randomized trial. Most previous studies related to the topic have been either retrospective, or prospective single-centre cohort registries. There are limitations of our study. Of the original 10,732 patients, a total of 8830 were included in the final study. As some patients were missing important data, and the rhythm exclusion was based on a single ECG recording, the possibility of selection bias exists. We had no explicit data on whether AF was preexisting or new-onset. Hence, we were unable to differentiate among previously diagnosed paroxysmal, persistent, and permanent AF in our patients. However, it should be noted that the group of patients using OAC before admission to the hospital was most likely composed mainly of patients with preexisting AF, since AF is the most common indication for this type of medication. The low rate of AF patients discharged on an OAC is also a limitation, as the values presented in our study do not fully reflect the clinical practice at present. Also, the rhythm was not analyzed from the post-PCI ECG, but SR in the post-PCI ECG would not have excluded the possibility of AF later during the hospital stay or during the follow-up period. Although we accounted for confounding factors in adjusted multivariable analysis, residual confounding due to unmeasured variables may still exist.

Conclusions

AF on the ECG recorded in the acute phase of STEMI before primary PCI is an independent risk factor for unfavorable long-term outcomes. In STEMI patients, AF was associated with a higher risk of the primary composite cardiovascular outcome, all-cause mortality, cardiovascular death, and severe heart failure during 1-year follow-up than in patients with SR. No statistically significant difference in the effect of routine manual thrombectomy compared with PCI alone on the risk of primary outcome was detected between patients with AF and those with SR.
  23 in total

1.  Third universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Allan S Jaffe; Maarten L Simoons; Bernard R Chaitman; Harvey D White; Kristian Thygesen; Joseph S Alpert; Harvey D White; Allan S Jaffe; Hugo A Katus; Fred S Apple; Bertil Lindahl; David A Morrow; Bernard A Chaitman; Peter M Clemmensen; Per Johanson; Hanoch Hod; Richard Underwood; Jeroen J Bax; Robert O Bonow; Fausto Pinto; Raymond J Gibbons; Keith A Fox; Dan Atar; L Kristin Newby; Marcello Galvani; Christian W Hamm; Barry F Uretsky; Ph Gabriel Steg; William Wijns; Jean-Pierre Bassand; Phillippe Menasché; Jan Ravkilde; E Magnus Ohman; Elliott M Antman; Lars C Wallentin; Paul W Armstrong; Maarten L Simoons; James L Januzzi; Markku S Nieminen; Mihai Gheorghiade; Gerasimos Filippatos; Russell V Luepker; Stephen P Fortmann; Wayne D Rosamond; Dan Levy; David Wood; Sidney C Smith; Dayi Hu; José-Luis Lopez-Sendon; Rose Marie Robertson; Douglas Weaver; Michael Tendera; Alfred A Bove; Alexander N Parkhomenko; Elena J Vasilieva; Shanti Mendis
Journal:  Eur Heart J       Date:  2012-08-24       Impact factor: 29.983

2.  All types of atrial fibrillation in the setting of myocardial infarction are associated with impaired outcome.

Authors:  Gorav Batra; Bodil Svennblad; Claes Held; Tomas Jernberg; Per Johanson; Lars Wallentin; Jonas Oldgren
Journal:  Heart       Date:  2016-02-29       Impact factor: 5.994

3.  The prognostic value of atrial fibrillation on 30-day clinical outcome in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention.

Authors:  Cheng-Jei Lin; Chu-Feng Liu; Chia-Te Kung; Cheuk-Kwan Sun; Yu-Chun Lin; Steve Leu; Sarah Chua; Kuo-Ho Yeh; Chiung-Jen Wu; Yung-Lung Chen; Hon-Kan Yip
Journal:  Int Heart J       Date:  2011       Impact factor: 1.862

4.  Recent trends in management and outcome of patients with acute coronary syndromes and atrial fibrillation.

Authors:  Leonardo De Luca; Gianni Casella; Andrea Rubboli; Lucio Gonzini; Donata Lucci; Alessandro Boccanelli; Francesco Chiarella; Antonio Di Chiara; Stefano De Servi; Andrea Di Lenarda; Giuseppe Di Pasquale; Stefano Savonitto
Journal:  Int J Cardiol       Date:  2017-08-10       Impact factor: 4.164

5.  2018 Joint European consensus document on the management of antithrombotic therapy in atrial fibrillation patients presenting with acute coronary syndrome and/or undergoing percutaneous cardiovascular interventions: a joint consensus document of the European Heart Rhythm Association (EHRA), European Society of Cardiology Working Group on Thrombosis, European Association of Percutaneous Cardiovascular Interventions (EAPCI), and European Association of Acute Cardiac Care (ACCA) endorsed by the Heart Rhythm Society (HRS), Asia-Pacific Heart Rhythm Society (APHRS), Latin America Heart Rhythm Society (LAHRS), and Cardiac Arrhythmia Society of Southern Africa (CASSA).

Authors:  Gregory Y H Lip; Jean-Phillippe Collet; Michael Haude; Robert Byrne; Eugene H Chung; Laurent Fauchier; Sigrun Halvorsen; Dennis Lau; Nestor Lopez-Cabanillas; Maddalena Lettino; Francisco Marin; Israel Obel; Andrea Rubboli; Robert F Storey; Marco Valgimigli; Kurt Huber
Journal:  Europace       Date:  2019-02-01       Impact factor: 5.214

6.  Bare-metal vs. drug-eluting stents in patients with atrial fibrillation undergoing percutaneous coronary intervention.

Authors:  Tuomas Kiviniemi; Marja Puurunen; Axel Schlitt; Andrea Rubboli; Pasi Karjalainen; Wail Nammas; Paulus Kirchhof; Fausto Biancari; Gregory Yh Lip; Ke Juhani Airaksinen
Journal:  Circ J       Date:  2014-10-09       Impact factor: 2.993

7.  Short- and long-term prognosis of previous and new-onset atrial fibrillation in ST-segment elevation acute myocardial infarction.

Authors:  Luciano Consuegra-Sánchez; Antonio Melgarejo-Moreno; José Galcerá-Tomás; Nuria Alonso-Fernández; Ángela Díaz-Pastor; Germán Escudero-García; Leticia Jaulent-Huertas; Marta Vicente-Gilabert
Journal:  Rev Esp Cardiol (Engl Ed)       Date:  2014-08-11

8.  Atrial fibrillation and death after myocardial infarction: a community study.

Authors:  Patricia Jabre; Xavier Jouven; Frédéric Adnet; Gabriel Thabut; Suzette J Bielinski; Susan A Weston; Véronique L Roger
Journal:  Circulation       Date:  2011-05-02       Impact factor: 29.690

9.  Long term prognosis of atrial fibrillation in ST-elevation myocardial infarction patients undergoing percutaneous coronary intervention.

Authors:  Guy Topaz; Nir Flint; Arie Steinvil; Arik Finkelstein; Shmuel Banai; Gad Keren; Yacov Shacham; Lior Yankelson
Journal:  Int J Cardiol       Date:  2017-03-16       Impact factor: 4.164

10.  Atrial fibrillation as an independent risk factor for stroke: the Framingham Study.

Authors:  P A Wolf; R D Abbott; W B Kannel
Journal:  Stroke       Date:  1991-08       Impact factor: 7.914

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