# Preoperative Arrhythmias Such as Atrial Fibrillation: Cardiovascular Surgery Risk Factor

Authors: Diana Anghel; Radu Anghel; Flavia Corciova; Mihail Enache; Grigore Tinica
Journal: BioMed Research International
 (2014)

---

## Abstract

Atrial fibrillation is still the most common arrhythmia that occurs in heart surgery. However, there is few literature data on the manner in which preoperative atrial fibrillation may influence the postoperative outcome of various heart surgery procedures. The purpose of our research is to assess the effects of preoperative atrial fibrillation on patients having undergone different heart surgery procedures. The results of our research are a review of clinical data which were collected prospectively, over a 10-year period, from all the patients who had undergone heart surgery in our Institute. The study group included 1119 heart surgery patients, who were divided as follows: the preoperative AFib group (n
=
226, 20.19%) and the sinus rhythm group (n
=
893, 79.80%). Major postoperative complications and hospital mortality rates were analyzed. According to our statistical analysis, preoperative atrial fibrillation significantly increased the mortality risk (P
=
0.001), the patients’ mechanical ventilation needs (P
=
0.022), the rate of occurrence of infectious complications (P
<
0.5), the rate of occurrence of complications such as acute kidney failure (P
=
0.012), and the time spent by the patients in the intensive care ward (P
<
0.01). In conclusion, preoperative atrial fibrillation in heart surgery patients increases the mortality and major complication risk further to heart surgery.


---

## Body

## 1. Introduction

Atrial fibrillation (AFib) is among the most common heart surgery arrhythmias. This arrhythmia is a considerable long-term risk factor that influences the evolution and survival of patients having required heart surgery [1]. Also, the literature data revealed a significant connection between the patients’ old age that needed such revascularization surgery and the atrial fibrillation incidence [2, 3]. Although it is well known that preoperative AFib increases the postoperative mortality of patients having undergone heart surgery, the literature provides little information on the way in which this arrhythmia impedes upon the postoperative outcome of patients having undergone such surgical procedures, considering the numerous complications that may occur in the evolution of these patients. There are also few studies of the evolution of preoperative AFib patients depending on the surgical procedure employed: coronary artery bypass grafting (CABG), simple or associated with heart valve surgery (CABG associated with heart valve surgery) [4, 5].The purpose of our research is a retrospective assessment of the impact of preoperative arrhythmia such as atrial fibrillation on the postoperative evolution of patients who underwent two types of heart surgery (CABG and CABG associated with heart valve surgery), as opposed to sinus rhythm patients. The originality of our research is related to the fact that there are currently no available data on the extent to which preoperative AFib adversely affects the postoperative outcome of heart surgery in patients in Romania.


## 2. Materials and Methods

### 2.1. Patients

Our prospective research was based on a retrospective analysis. The patients included in the study were found in the database of the Institute of Cardiovascular Diseases of Iaşi, as they were hospitalized there between January 2000 and December 2010. Two types of heart surgery were conducted on these patients, namely, isolated coronary artery bypass (CABG) or heart valve surgery and CABG (coronary artery bypass). One thousand one hundred and nineteen patients (n
=
1119) were included in the study and they were divided into two groups depending on their preoperative sinus rhythm: the AFib patient group (group n
1
=
226 patients, that is, 20.19% of the total number of patients) and the normal sinus rhythm patient group (group n
2
=
893 patients, that is, 79.80 % of the total number of patients). The patients with other types of arrhythmias or with pacemaker implants were not included in the study. All the prospective data were collected from a database of the department by a specialist data collector. When assessing the results, we considered all the postoperative complications that occurred during their hospitalization, the mortality rates, the time spent in the intensive care ward, and the whole hospitalization time. The management of the institute approved the use of the database of patients hospitalized during the period referred to, with a view to the analysis and publication of the results achieved.


### 2.2. Definitions

We classified atrial fibrillation according to the 2014th Guideline on Atrial Fibrillation of the American College of Cardiology/American Heart Association, in which it is classified by the duration of their episodes in paroxysmal AFib, persistent AFib, longstanding persistent AFib, permanent AFib, and nonvalvular AFib [6]. All coronary artery bypasses (CABG) were carried out under extracorporeal circulation by means of median sternotomy. Considering the standard surgical emergency criteria,elective surgery is defined as scheduled surgery, whereasemergency surgery is defined as surgery that cannot be postponed without being life threatening for the patient.Renal complications refer to postoperative kidney failure RIFLE “F” class (according to RIFLE system) [7].Neurological complications refer to the incidence of transient ischemic attacks or permanent stroke.Infectious complications refer to wound infections (requiring antibiotics or surgical therapy) andsepsis.Pulmonary complications refer to postoperative infection, tracheostomy, acute respiratory distress syndrome, and reintubation.


### 2.3. Statistical Analysis

The first stage of our statistical analysis sets the differences between the two groups of patients according to the study exclusion criteria and to the results achieved for the various variables considered.Category variables were compared by a Z
-test for ratios or by Fisher’s exact test [8].Continuous variables were compared by anindependent T-test or by nonparametric tests such as McNemar’s test and Wilcoxon’s signed rank test designed to determine whether the normality assumption was violated (Tables 1 and 2). We then analyzed the effect of preoperative atrial fibrillation on the mortality rates and on the outcome of other essential variables for the postoperative evolution of patients under survey. This analysis was conducted by multiparameterlogistic regression methods. Logistic regression is a prediction procedure in which the criterion or dependent variable (DV) has category values. The core of the procedure consists of developing a mathematical model which probabilistically associates criterion values (DV) and predictor values or independent variables (IV) in multiple logistic regression [9, 10]. Thus, we may rely on this type of logistic regression to determine the likelihood of preoperative arrhythmias to influence the postoperative evolution of the patients included in the two groups. The odds ratio (OR) is one of the most important concepts of logistic regression analysis. As already known, this value expresses the ratio between the likelihood of occurrence and the likelihood of nonoccurrence of an analyzed event and quantifies the impact of the predictor on the criterion. One should note that, whereas the likelihood values range between 0 and 1, their ratio may have values that are infinitely high or infinitely low (Table 3). Naturally, our goal is to use predictors that have the highest criterion prediction force. A series of logistic regression indicators, like, for instance, prediction deterioration when a particular predictor is missing, assessment of the significance of the weight coefficients (
B
) of each predictor, or the extent to which theodds ratio (OR) changes when a predictor is removed, may be used to identify these predictors. Despite the advantages described above, the logistic regression results should be construed restrainedly. The prediction model applies only to the predictors employed. Nevertheless, there may be predictors that were voluntarily or involuntarily disregarded. Also, the predictive capacity of the model only works within the variation limits of the existing data, which means that the predictive value of the predictors that were not included in the model is questionable [11]. The subgroup analysis depending on the type of operation and variable results related to atrial fibrillation (AFib) occurrence is shown in Table 4. It includes both the 95% confidence intervals (CI) and the statistical significance thresholds (
P
).Table 1
Preoperative variables of sinus rhythm and atrial fibrillation patients (n
=
1119).
Variable
Arrhythmia (FiA)Lot n
1
=
226 patients
Sinus rhythmLot n
2
=
893 patients
P value
Median age ± SD
63.34 ± 9.608
59.40 ± 8.804
P
<
0.001
Female sex
16.8%  (38)
18.1%  (162)
P
>
0.05
Previous AMI
50.9%  (115)
49,7%  (444)
P
>
0.05
Interval between AMI and operation
1–7 days
1.7%  (3)
0.8%  (8)
P
<
0.01
8–21 days
2.2%  (5)
2.7%  (24)
P
>
0.05
21–90 days
14.1%  (32)
12.7%  (113)
<90 days
18.0%  (40)
16.2%  (147)
>90 days
33.2%  (75)
32.7%  (292)
Diabetes  mellitus
23.5%  (53)
29.1%  (260)
P
>
0.05
HTN
I
11.0%  (25)
11.4%  (79)
P
>
0.05
II
28.3%  (64)
29%  (259)
III
29.2%  (66)
28.5%  (255)
Without HTN
31.4%  (71)
33.5%  (300)
Smoker
35.9%  (66)
29.2%  (321)
P
<
0.001
Serum creatinine > 200µmol/L
3.53%  (8)
2.46%  (22)
P
<
0.05
COPD
9.3%  (21)
7.7%  (69)
P
<
0.05
Extracardiac arterial disease
14.2%  (32)
12.5%  (112)
P
>
0.05
Cerebrovascular events
15%  (34)
10.9%  (97)
P
=
0.003  (P
<
0.01)
Type of operation
Emergent
6.6%  (15)
3.1%   (28)
P
>
0.05
Elective
92%  (208)
96.8%  (864)
EF < 30%
20.38 ± 4.749
23.28 ± 3.286
P
>
0.05
EF = 30–50%
44.01 ± 6.459
44.60 ± 5.831
P
>
0.05
EF > 50%
57.78 ± 6.940
60.81 ± 5.493
P
<
0.001
Type of cardiac procedure
CABG without valvular procedure
69%  (156)
85.4%  (763)
P
<
0.001
CABG with valvular procedure
30.5%  (69)
14.4%  (129)
P
<
0.001
Extracorporeal circulation time (min) (ECCT)
149.99 ± 66.54The interval between  52 and 725
138.27 ± 52.75The interval between  16 and 596
P
=
0.002 (P
<
0.01)
Aortic clamping time (min) (ACT)
102.069 ± 39.327The interval between 0 and 278
95.31 ± 37.688The interval between 11 and 330
P
<
0.001
Mortality
4.0%  (9)
1.2%  (11)
P
=
0.011
P
<
0.05
AMI: acute myocardial infarction.
HTN: arterial hypertension.
COPD: chronic obstructive pulmonary disease.
EF: ejection fraction.
CABG: coronary artery bypass grafting.Table 2
Postoperative evolution of preoperative arrhythmia patients as opposed to normal sinus rhythm patients (n
=
1119).
Postoperative evolution
ArrhythmiaLot n
1
=
226 patients
Sinus rhythmLot n
2
=
893 patients
P value
Increased inotropic support needs
75.7%  (171)
63.9%  (571)
P
=
0.001
Reintervention
8.0%  (18)
6.8%  (61)
P
=
0.028
P
<
0.05
Mechanical ventilation > 24 h
7.5%  (17)
5.5%  (49)
P
=
0.022
P
<
0.05
MSOF
2.2%  (5)
0.9%  (8)
P
<
0.05
Neurological complicationsCVA > 72 h
0.4%  (1)
0.4%  (4)
P
>
0.05
Transient CVA
0%
0.9%  (8)
P
>
0.05
Coma > 24 h
0.9%  (2)
0.7%  (6)
P
>
0.05
Acute renal failure
7.1%  (16)
3.8%  (34)
P
=
0.012
P
<
0.05
ICU LOS (days)
7.27 ± 5.056
5.53 ± 3.747
P
<
0.01
Sepsis
2.7%  (6)
1.1%  (10)
P
<
0.05
Mortality
4.0%  (9)
1.2%  (11)
P
=
0.011
P
<
0.05
CVA: cerebrovascular accident.
ICULOS: intensive care unit length of stay.
MSOF: multiple system organ failure.Table 3
Logistic regression analysis of preoperative AFib arrhythmias and postoperative evolution.
Variables in the equation
B
S.E.
Wald
df
Sig.
Exp
(
B
)
95% C.I. forEXP
(
B
)
Lower
Upper
Mortality
No
-
2.061
0.907
5.160
1
0.023
0.127
0.022
0.754
Yes
-
2.459
0.807
9.277
1
0.002
0.086
0.018
0416
Increased inotropic support needs
No
-
2.652
1.079
6.036
1
0.014
0.071
0.009
0.585
Yes
-
0.321
0.185
3.008
1
0.043
0.726
0.505
1.043
Reintervention
No
0.474
0.569
0.695
1
0.405
1.607
0.527
4.901
Yes
0.117
0.338
0.119
1
0.730
1.124
0.579
2.181
Mechanical ventilation > 24 h
No
2.408
1.045
5.309
1
0.021
11.116
1.433
86.226
Yes
0.096
0.417
0.054
1
0.817
1.101
0.487
2.492
MSOF
No
2.765
1.174
0.031
1
0.191
6.954
1.532
49.135
Yes
1.319
1.000
1.739
1
0.187
3.740
0.526
26.576
Neurological complicationsCVA_ > 72 h
No
2.908
1.147
0.043
1
0.732
1.203
1,421
16.130
Yes
-
0.153
1.169
0.017
1
0.896
0.858
0.087
8.479
Neurological complications:transient ischemic attacks
No
2.603
1.154
5.140
1
0.789
0.869
0.020
0.695
Yes
0.362
0.155
1.356
1
0.899
0.696
0.008
0.565
Neurological complications:coma ≥ 72 h
No
-
0.433
2.645
0.849
1
0.627
6.047
0.723
36.569
Yes
1.173
1.214
0.933
1
0.334
3.231
0.299
13.495
Acute renal failure
No
-
2.961
1.641
3.610
1
0.307
0.063
0.431
3.124
Yes
-
0.083
2.594
0.025
1
0.870
0.047
0.510
1.127
ICULOS (days)
Yes
0.046
0.023
3.942
1
0.047
1.47
1.001
1.096
Sepsis
No
-
0.235
0.634
0.137
1
0.711
0.791
0.228
2.740
Yes
-
0.846
0.566
2.237
1
0.135
0.429
0.142
1.300
(i) Predicted probability (YES: preoperative arrhythmias such as AFib influence the patient’s postoperative evolution; NO: preoperative arrhythmias do not influence the patient’s postoperative evolution).
(ii) Predicted group (YES: with preoperative arrhythmias such as AFib—groupn
1; NO: without preoperative arrhythmias: sinus rhythm patients—group n
2).Table 4
Subgroup analysis depending on the type of heart surgery performed and on the extent of adverse effect of preoperative (AFib) arrhythmias on each unwanted postoperative event.
Variable
Patients lots
CABG lot
CABG + valvular procedures lot
(922 patients)
(198 patients)
OR
95% C.I. for OR
P
OR
95% C.I. for OR
P
Lower
Upper
Lower
Upper
In-hospital mortality
No
0.264
0.033
2.102
0.208
0
0
·
0.999
Yes
0.357
0.057
2.248
0.273
0
0
·
0.999
Increased inotropic support
No
0.072
0.008
0.638
0.018
11.158
1.115
111.649
0.04
Yes
0.638
0.419
0.972
0.036
1.242
0.564
2.735
0.049
Reintervention
No
1.649
0.445
6.115
0.455
0.433
0.052
3.612
0.439
Yes
1.249
0.568
2.746
0.58
1.2
0.259
4.025
0.977
Mechanical ventilation_ > 24 h
No
1.844
0.269
12.637
0.533
6.97
E
+
27
0
—
0.999
Yes
0.667
0.258
1.73
0.405
1.458
0.295
7.216
0.644
MSOF
No
2.10
E
+
09
0
—
1
0
0
—
0.999
Yes
3.65
0.306
43.499
0.306
3.34
E
+
16
0
—
0.999
CVA_ > 72 h
No
8.87
E
+
08
0
—
1
—
—
—
—
Yes
0.771
0.077
7.756
0.826
—
—
—
—
Transient CVA
No
1.032
0
—
1
—
—
—
—
Yes
6.73
E
+
08
0
—
0.999
3.64
E
+
09
0
·
1
Coma_ > 72 h
No
0.475
0
—
1
—
—
—
—
Yes
8.02
E
+
08
0
—
0.999
0
0
·
0.999
Acute renal failure
No
0
0
—
1
0.191
0.014
2.612
0.215
Yes
0
0
—
1
0.161
0.01
2.634
0.2
ICULOS (days)
Yes
1.013
0.954
1.076
0.672
1.018
0.914
1.134
0.747
Sepsis
No
0.152
0.04
0.574
0.005
4.624
0.329
64.974
0.256
Yes
0.384
0.108
1.366
0.139
0.408
0.06
2.762
0.358
(i) Predicted probability (YES: preoperative arrhythmias such as AFib influence postoperative evolution; NO: preoperative arrhythmias do not influence postoperative evolution).
(ii) Predicted group (YES: with preoperative arrhythmias such as AFib—groupn
1; NO: without preoperative arrhythmias: sinus rhythm patients—group n
2).The Cox method is advisable for the accurate survival time modeling when covariates occur in the study or particular parameters are suggested that influence the evolution in time of the event. As concerns theB regression coefficients, it is important to calculate their statistical significance. In other words, the covariate influence in the model needs to be checked. If the calculated significance is not below 0.05, that covariate has a random effect, which means that it may be removed from the analysis. Regression coefficients are interpreted intuitively by their exponential value, Exp
(
B
). This shows the predicted value of the altered hazard function value for a covariate increase by one unit. The Cox model is very important in practice, since it helps to identify the prognosis factors when studying the survival rates.The statistical analysis was done using SPSS Version 19 software. TheP
<
0.05 values were considered statistically significant.


## 2.1. Patients

Our prospective research was based on a retrospective analysis. The patients included in the study were found in the database of the Institute of Cardiovascular Diseases of Iaşi, as they were hospitalized there between January 2000 and December 2010. Two types of heart surgery were conducted on these patients, namely, isolated coronary artery bypass (CABG) or heart valve surgery and CABG (coronary artery bypass). One thousand one hundred and nineteen patients (n
=
1119) were included in the study and they were divided into two groups depending on their preoperative sinus rhythm: the AFib patient group (group n
1
=
226 patients, that is, 20.19% of the total number of patients) and the normal sinus rhythm patient group (group n
2
=
893 patients, that is, 79.80 % of the total number of patients). The patients with other types of arrhythmias or with pacemaker implants were not included in the study. All the prospective data were collected from a database of the department by a specialist data collector. When assessing the results, we considered all the postoperative complications that occurred during their hospitalization, the mortality rates, the time spent in the intensive care ward, and the whole hospitalization time. The management of the institute approved the use of the database of patients hospitalized during the period referred to, with a view to the analysis and publication of the results achieved.


## 2.2. Definitions

We classified atrial fibrillation according to the 2014th Guideline on Atrial Fibrillation of the American College of Cardiology/American Heart Association, in which it is classified by the duration of their episodes in paroxysmal AFib, persistent AFib, longstanding persistent AFib, permanent AFib, and nonvalvular AFib [6]. All coronary artery bypasses (CABG) were carried out under extracorporeal circulation by means of median sternotomy. Considering the standard surgical emergency criteria,elective surgery is defined as scheduled surgery, whereasemergency surgery is defined as surgery that cannot be postponed without being life threatening for the patient.Renal complications refer to postoperative kidney failure RIFLE “F” class (according to RIFLE system) [7].Neurological complications refer to the incidence of transient ischemic attacks or permanent stroke.Infectious complications refer to wound infections (requiring antibiotics or surgical therapy) andsepsis.Pulmonary complications refer to postoperative infection, tracheostomy, acute respiratory distress syndrome, and reintubation.


## 2.3. Statistical Analysis

The first stage of our statistical analysis sets the differences between the two groups of patients according to the study exclusion criteria and to the results achieved for the various variables considered.Category variables were compared by a Z
-test for ratios or by Fisher’s exact test [8].Continuous variables were compared by anindependent T-test or by nonparametric tests such as McNemar’s test and Wilcoxon’s signed rank test designed to determine whether the normality assumption was violated (Tables 1 and 2). We then analyzed the effect of preoperative atrial fibrillation on the mortality rates and on the outcome of other essential variables for the postoperative evolution of patients under survey. This analysis was conducted by multiparameterlogistic regression methods. Logistic regression is a prediction procedure in which the criterion or dependent variable (DV) has category values. The core of the procedure consists of developing a mathematical model which probabilistically associates criterion values (DV) and predictor values or independent variables (IV) in multiple logistic regression [9, 10]. Thus, we may rely on this type of logistic regression to determine the likelihood of preoperative arrhythmias to influence the postoperative evolution of the patients included in the two groups. The odds ratio (OR) is one of the most important concepts of logistic regression analysis. As already known, this value expresses the ratio between the likelihood of occurrence and the likelihood of nonoccurrence of an analyzed event and quantifies the impact of the predictor on the criterion. One should note that, whereas the likelihood values range between 0 and 1, their ratio may have values that are infinitely high or infinitely low (Table 3). Naturally, our goal is to use predictors that have the highest criterion prediction force. A series of logistic regression indicators, like, for instance, prediction deterioration when a particular predictor is missing, assessment of the significance of the weight coefficients (
B
) of each predictor, or the extent to which theodds ratio (OR) changes when a predictor is removed, may be used to identify these predictors. Despite the advantages described above, the logistic regression results should be construed restrainedly. The prediction model applies only to the predictors employed. Nevertheless, there may be predictors that were voluntarily or involuntarily disregarded. Also, the predictive capacity of the model only works within the variation limits of the existing data, which means that the predictive value of the predictors that were not included in the model is questionable [11]. The subgroup analysis depending on the type of operation and variable results related to atrial fibrillation (AFib) occurrence is shown in Table 4. It includes both the 95% confidence intervals (CI) and the statistical significance thresholds (
P
).Table 1
Preoperative variables of sinus rhythm and atrial fibrillation patients (n
=
1119).
Variable
Arrhythmia (FiA)Lot n
1
=
226 patients
Sinus rhythmLot n
2
=
893 patients
P value
Median age ± SD
63.34 ± 9.608
59.40 ± 8.804
P
<
0.001
Female sex
16.8%  (38)
18.1%  (162)
P
>
0.05
Previous AMI
50.9%  (115)
49,7%  (444)
P
>
0.05
Interval between AMI and operation
1–7 days
1.7%  (3)
0.8%  (8)
P
<
0.01
8–21 days
2.2%  (5)
2.7%  (24)
P
>
0.05
21–90 days
14.1%  (32)
12.7%  (113)
<90 days
18.0%  (40)
16.2%  (147)
>90 days
33.2%  (75)
32.7%  (292)
Diabetes  mellitus
23.5%  (53)
29.1%  (260)
P
>
0.05
HTN
I
11.0%  (25)
11.4%  (79)
P
>
0.05
II
28.3%  (64)
29%  (259)
III
29.2%  (66)
28.5%  (255)
Without HTN
31.4%  (71)
33.5%  (300)
Smoker
35.9%  (66)
29.2%  (321)
P
<
0.001
Serum creatinine > 200µmol/L
3.53%  (8)
2.46%  (22)
P
<
0.05
COPD
9.3%  (21)
7.7%  (69)
P
<
0.05
Extracardiac arterial disease
14.2%  (32)
12.5%  (112)
P
>
0.05
Cerebrovascular events
15%  (34)
10.9%  (97)
P
=
0.003  (P
<
0.01)
Type of operation
Emergent
6.6%  (15)
3.1%   (28)
P
>
0.05
Elective
92%  (208)
96.8%  (864)
EF < 30%
20.38 ± 4.749
23.28 ± 3.286
P
>
0.05
EF = 30–50%
44.01 ± 6.459
44.60 ± 5.831
P
>
0.05
EF > 50%
57.78 ± 6.940
60.81 ± 5.493
P
<
0.001
Type of cardiac procedure
CABG without valvular procedure
69%  (156)
85.4%  (763)
P
<
0.001
CABG with valvular procedure
30.5%  (69)
14.4%  (129)
P
<
0.001
Extracorporeal circulation time (min) (ECCT)
149.99 ± 66.54The interval between  52 and 725
138.27 ± 52.75The interval between  16 and 596
P
=
0.002 (P
<
0.01)
Aortic clamping time (min) (ACT)
102.069 ± 39.327The interval between 0 and 278
95.31 ± 37.688The interval between 11 and 330
P
<
0.001
Mortality
4.0%  (9)
1.2%  (11)
P
=
0.011
P
<
0.05
AMI: acute myocardial infarction.
HTN: arterial hypertension.
COPD: chronic obstructive pulmonary disease.
EF: ejection fraction.
CABG: coronary artery bypass grafting.Table 2
Postoperative evolution of preoperative arrhythmia patients as opposed to normal sinus rhythm patients (n
=
1119).
Postoperative evolution
ArrhythmiaLot n
1
=
226 patients
Sinus rhythmLot n
2
=
893 patients
P value
Increased inotropic support needs
75.7%  (171)
63.9%  (571)
P
=
0.001
Reintervention
8.0%  (18)
6.8%  (61)
P
=
0.028
P
<
0.05
Mechanical ventilation > 24 h
7.5%  (17)
5.5%  (49)
P
=
0.022
P
<
0.05
MSOF
2.2%  (5)
0.9%  (8)
P
<
0.05
Neurological complicationsCVA > 72 h
0.4%  (1)
0.4%  (4)
P
>
0.05
Transient CVA
0%
0.9%  (8)
P
>
0.05
Coma > 24 h
0.9%  (2)
0.7%  (6)
P
>
0.05
Acute renal failure
7.1%  (16)
3.8%  (34)
P
=
0.012
P
<
0.05
ICU LOS (days)
7.27 ± 5.056
5.53 ± 3.747
P
<
0.01
Sepsis
2.7%  (6)
1.1%  (10)
P
<
0.05
Mortality
4.0%  (9)
1.2%  (11)
P
=
0.011
P
<
0.05
CVA: cerebrovascular accident.
ICULOS: intensive care unit length of stay.
MSOF: multiple system organ failure.Table 3
Logistic regression analysis of preoperative AFib arrhythmias and postoperative evolution.
Variables in the equation
B
S.E.
Wald
df
Sig.
Exp
(
B
)
95% C.I. forEXP
(
B
)
Lower
Upper
Mortality
No
-
2.061
0.907
5.160
1
0.023
0.127
0.022
0.754
Yes
-
2.459
0.807
9.277
1
0.002
0.086
0.018
0416
Increased inotropic support needs
No
-
2.652
1.079
6.036
1
0.014
0.071
0.009
0.585
Yes
-
0.321
0.185
3.008
1
0.043
0.726
0.505
1.043
Reintervention
No
0.474
0.569
0.695
1
0.405
1.607
0.527
4.901
Yes
0.117
0.338
0.119
1
0.730
1.124
0.579
2.181
Mechanical ventilation > 24 h
No
2.408
1.045
5.309
1
0.021
11.116
1.433
86.226
Yes
0.096
0.417
0.054
1
0.817
1.101
0.487
2.492
MSOF
No
2.765
1.174
0.031
1
0.191
6.954
1.532
49.135
Yes
1.319
1.000
1.739
1
0.187
3.740
0.526
26.576
Neurological complicationsCVA_ > 72 h
No
2.908
1.147
0.043
1
0.732
1.203
1,421
16.130
Yes
-
0.153
1.169
0.017
1
0.896
0.858
0.087
8.479
Neurological complications:transient ischemic attacks
No
2.603
1.154
5.140
1
0.789
0.869
0.020
0.695
Yes
0.362
0.155
1.356
1
0.899
0.696
0.008
0.565
Neurological complications:coma ≥ 72 h
No
-
0.433
2.645
0.849
1
0.627
6.047
0.723
36.569
Yes
1.173
1.214
0.933
1
0.334
3.231
0.299
13.495
Acute renal failure
No
-
2.961
1.641
3.610
1
0.307
0.063
0.431
3.124
Yes
-
0.083
2.594
0.025
1
0.870
0.047
0.510
1.127
ICULOS (days)
Yes
0.046
0.023
3.942
1
0.047
1.47
1.001
1.096
Sepsis
No
-
0.235
0.634
0.137
1
0.711
0.791
0.228
2.740
Yes
-
0.846
0.566
2.237
1
0.135
0.429
0.142
1.300
(i) Predicted probability (YES: preoperative arrhythmias such as AFib influence the patient’s postoperative evolution; NO: preoperative arrhythmias do not influence the patient’s postoperative evolution).
(ii) Predicted group (YES: with preoperative arrhythmias such as AFib—groupn
1; NO: without preoperative arrhythmias: sinus rhythm patients—group n
2).Table 4
Subgroup analysis depending on the type of heart surgery performed and on the extent of adverse effect of preoperative (AFib) arrhythmias on each unwanted postoperative event.
Variable
Patients lots
CABG lot
CABG + valvular procedures lot
(922 patients)
(198 patients)
OR
95% C.I. for OR
P
OR
95% C.I. for OR
P
Lower
Upper
Lower
Upper
In-hospital mortality
No
0.264
0.033
2.102
0.208
0
0
·
0.999
Yes
0.357
0.057
2.248
0.273
0
0
·
0.999
Increased inotropic support
No
0.072
0.008
0.638
0.018
11.158
1.115
111.649
0.04
Yes
0.638
0.419
0.972
0.036
1.242
0.564
2.735
0.049
Reintervention
No
1.649
0.445
6.115
0.455
0.433
0.052
3.612
0.439
Yes
1.249
0.568
2.746
0.58
1.2
0.259
4.025
0.977
Mechanical ventilation_ > 24 h
No
1.844
0.269
12.637
0.533
6.97
E
+
27
0
—
0.999
Yes
0.667
0.258
1.73
0.405
1.458
0.295
7.216
0.644
MSOF
No
2.10
E
+
09
0
—
1
0
0
—
0.999
Yes
3.65
0.306
43.499
0.306
3.34
E
+
16
0
—
0.999
CVA_ > 72 h
No
8.87
E
+
08
0
—
1
—
—
—
—
Yes
0.771
0.077
7.756
0.826
—
—
—
—
Transient CVA
No
1.032
0
—
1
—
—
—
—
Yes
6.73
E
+
08
0
—
0.999
3.64
E
+
09
0
·
1
Coma_ > 72 h
No
0.475
0
—
1
—
—
—
—
Yes
8.02
E
+
08
0
—
0.999
0
0
·
0.999
Acute renal failure
No
0
0
—
1
0.191
0.014
2.612
0.215
Yes
0
0
—
1
0.161
0.01
2.634
0.2
ICULOS (days)
Yes
1.013
0.954
1.076
0.672
1.018
0.914
1.134
0.747
Sepsis
No
0.152
0.04
0.574
0.005
4.624
0.329
64.974
0.256
Yes
0.384
0.108
1.366
0.139
0.408
0.06
2.762
0.358
(i) Predicted probability (YES: preoperative arrhythmias such as AFib influence postoperative evolution; NO: preoperative arrhythmias do not influence postoperative evolution).
(ii) Predicted group (YES: with preoperative arrhythmias such as AFib—groupn
1; NO: without preoperative arrhythmias: sinus rhythm patients—group n
2).The Cox method is advisable for the accurate survival time modeling when covariates occur in the study or particular parameters are suggested that influence the evolution in time of the event. As concerns theB regression coefficients, it is important to calculate their statistical significance. In other words, the covariate influence in the model needs to be checked. If the calculated significance is not below 0.05, that covariate has a random effect, which means that it may be removed from the analysis. Regression coefficients are interpreted intuitively by their exponential value, Exp
(
B
). This shows the predicted value of the altered hazard function value for a covariate increase by one unit. The Cox model is very important in practice, since it helps to identify the prognosis factors when studying the survival rates.The statistical analysis was done using SPSS Version 19 software. TheP
<
0.05 values were considered statistically significant.


## 3. Results

We analyzed a cohort of patients (N
=
1119), 200 (17.87%) of whom were female and 919 (82.12%) were male. The ages of the patients in group n
1 ranged between 18 and 86 years, with a mean value (±1 S.D.) of 63.34 (±9.6) years, whereas the patients in group n
2 were 20 to 79 years, with a mean value of 59.4 (±8.8) years. During their hospitalization, many patients had normal preoperative sinus rhythm (79.80%) (n
=
893). Table 1 distinguishes between the preoperative factors and patient characteristics of the two groups. As shown in this table, preoperative AFib patients were 3.94 years older, on the average, than the rest of the patients, most of whom were female. The incidence of congestive heart failure, kidney failure, chronic obstructive pulmonary diseases, and stroke was also higher in the AFib group.AMI incidence within the 7 days preceding the surgery was higher in preoperative AFib patients. Smoking, cerebrovascular event, and COPD incidence was also higher in groupn
1. We found a higher incidence of surgical procedures such as coronary artery bypass with or without heart valve surgery in AFib patients as opposed to normal sinus rhythm patients. There was no statistically significant difference between the two groups as concerns arterial hypertension, history of AMI, or extracardiac arteriopathy.The postoperative complications and hospital mortality rates of the two groups were synthesized in Table2. According to the data in this table, the mortality rate was significantly higher in the AFib group (4% as opposed to 1.2%, where P
<
0.05). Moreover, the time spent in the intensive care ward was significantly longer in the AFib group (group n
1). Most types of postoperative complications, including low cardiac output, increased inotropic support needs, kidney failure, infectious complications, and reexploration (recurrent surgery), were significantly more common in AFib patients. Neurological complications were the only exceptions, as no significant increase was noted in this field. These results were calculated by means of logistic regression approaches and Cox methods (Table 3).As for dichotomic variables, the mortality risk in AFib patients (groupn
1) was 1/0.086 = 11.62 times higher than in sinus rhythm patients (group n
2) or, in other words, the mortality risk in sinus rhythm patients was 0.127 lower. The B coefficient value is negative both in the group without AFib (B
=
-
2.061) and in the group with postoperative AFib (B
=
-
2.459). These results show a negative correlation between AFib and the mortality rate. The more AFib found postoperatively is, the higher the mortality risk is (P
=
0.002). Wald’s statistics is significant (P
<
0.05) for the independent variable (IV):, “considerable inotropic support needs” for the patients in group n
1 and in group n
2. The risk run by sinus rhythm patients (group n
1) of having high inotropic support needs was 0.071 times lower than by the AFib group patients (group n
2), in whom the risk of requiring increased inotropic support was 1/0.726 = 1.37 times higher. Considering the Exp
(
B
) value which is close to 1 (Exp
(
B
)
=
0.726), one may argue that postoperative AFib increases the patient’s risk of requiring inotropic support as compared to the group where AFib was not found (Exp
(
B
)
=
0.071). Also, the risk of occurrence of postoperative complications requiring extended mechanical ventilation (>24 h) was 11.116 times lower in sinus rhythm patients than in preoperative atrial fibrillation patients. The statistical analysis also revealed significant differences (P
<
0.01) as concerns the number of days spent in the intensive care ward. More precisely, AFib patients (group n
1) spent more days in intensive care than sinus rhythm patients (group n
2). Wald’s statistics is significant for the preoperative AFib group, as it proves that this condition may impede upon the postoperative outcome by increasing the number of days spent in the intensive care ward (Exp
(
B
)
=
1.47).Table4 shows subgroup analysis dependent on the type of surgical procedure used and on the effect of preoperative AFib on postoperative outcome. Multiparameter logistic regression analysis revealed that the type of surgical procedure employed influenced the level of inotropes required by the patients. Wald’s statistics was significant both for group n
1 and for group n
2. The risk run by the patients in group n
1 (suffering from preoperative AFib) of requiring increased inotropic support due to the use of coronary artery bypass graft surgery was 1.56 times higher than in the sinus rhythm patients (group n
2) who underwent the same surgical therapy. As far as coronary artery bypass graft surgery associated with heart valve surgery is concerned, the risk run by sinus rhythm patients of requiring increased inotropic support was 11.15 times lower than the same risk run by preoperative AFib patients in whom the same surgical procedure was used. Also, the risk of infectious complications run by preoperative AFib patients was 6.57 times higher than the same risk run by sinus rhythm patients, in whom coronary artery bypass graft (CABG) surgery was carried out.


## 4. Discussions

AFib is still the most common arrhythmia that occurs in heart surgery, both preoperatively and postoperatively [12]. There are various studies conducted to monitor AFib influence on the postoperative outcome of patients who underwent heart surgery. Nevertheless, the literature includes a small number of studies that assess the effect of preoperative AFib on patients having had heart surgery [13–18].In our research, we carefully analyzed as many of the postoperative AFib complications as possible, with our main goal being to determine the mortality risk run by these patients. Thus, we concluded that the old age of patients undergoing heart surgery may be an atrial fibrillation risk factor. In order to prevent such occurrences, whenever the patient is at risk, surgeons may employ adjuvant surgical techniques designed to significantly diminish the mortality risk and complication occurrence further to heart surgery done in patients with preoperative AFib arrhythmia. As shown by the data in Tables2 and 3, the hospital mortality rate was higher in AFib patients than in sinus rhythm (SR) patients. Moreover, the occurrence of major postoperative complications and the number of days spent in the intensive care ward were lower in sinus rhythm (SR) patients as opposed to AFib patients, in whom all these parameters were significantly higher. There are many factors that may account for the effects we noted. Preoperative atrial fibrillation may lead to a low postoperative cardiac output, which makes it both important and necessary to carefully monitor the patient and to provide him/her with appropriate inotropic support. Our findings are in agreement with and are supported by the conclusions of previous studies on preoperative AFib patients [16, 18].The data on short-term mortality rates in AFib patients is rather contradictory. Some studies reveal a higher hospital mortality rate, whereas others do not [16, 18, 19]. The main reason for these contradictory results is also the number of patients included in the study groups. More precisely, the groups with a higher number of patients were associated with significant hospital mortality rates, whereas the groups with a lower number of patients did not have the same outcome. This mortality rate increase may be connected with the postoperative complications that occurred and with the need for extended intensive care of AFib patients. There may also be other factors influenced by AFib. The literature data confirmed that the use of adjuvant surgical procedures in preoperative AFib patients is recommended to reduce the mortality risk and the occurrence of major postoperative complications [20]. Furthermore, the use of such therapeutic strategies involved significantly lower costs than conventional medical therapy [20]. The data collected for our research reveal higher mortality and morbidity rates unless other adjuvant surgical procedures are used in AFib patients. However, much more comprehensive specialized studies conducted on a much higher number of patients would be necessary in order to be able to gather conclusive data on the possible surgical therapeutic approaches that would improve the management and outcome of preoperative arrhythmia patients.


## 5. Conclusions

The results of our research are in agreement with the findings described in the literature and they revealed that preoperative atrial fibrillation increases the risk of mortality and major complications such as kidney failure, extended mechanical ventilation needs (for more than 24 hours), increased inotropic support needs, and a longer time spent in the intensive care ward further to heart surgery. Improved surgical therapeutic approaches by the use of adjuvant surgical strategies may prove beneficial for these patients.



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*Source: 584918-2014-07-03.xml*