† These authors contributed equally.
Academic Editor: Peter A. McCullough
Post-operative Atrial fibrillation (POAF) is a common complication post cardiac surgery. It can result in detrimental short- and long-term outcomes due to the increased risk of stroke, cardiac arrest and congestive heart failure in addition to prolonged intensive care and total hospital stay raising the overall healthcare cost. Accurately identifying predictors and biomarkers for POAF ensures that patients at greatest risk can be given the appropriate prophylactic measures; resources can be distributed to the groups who are most in need and where they will gain the optimum effect. Commonly recurring predictors can be investigated further to unveil the pathophysiology behind POAF, which has yet to be fully understood. This literature review aims to examine relevant studies on the proposed predictors of POAF: increased age, gender, history of atrial fibrillation, hypertension, cardiopulmonary bypass time and the use of beta blockers amongst others. This paper will discuss the significance of both the well-known and newfound risk factors to consolidate the areas that require further exploration in order to highlight those at risk and to unravel the mechanism behind POAF.
Post-operative atrial fibrillation (POAF) refers to a new onset of atrial fibrillation, developing immediately post-surgery [1]. POAF can be classified into different groups: acute, paroxysmal, persistent or permanent [2], depending on the character of the tachycardia. It is estimated that 20–40% of cardiac surgeries are complicated by POAF [1, 3, 4] and it has contributed to increased hospital stays and increased risk of morbidities and mortality rate [5]. Typically, post-operative atrial fibrillation presents within the first four hours of the peri-operative period [1]. However, two time periods have been identified as maximum risk for onset of POAF. The first is thought to be within 18 hours of the surgery [6] and the second is two days post-surgery [6], with a decline in the incidence four to seven days [6] post-surgery. It is believed that there are different predictors for the two peaks with advanced age being a common risk factor. Trauma and inflammation during surgery are assumed to create the first peak, whilst it is speculated that obesity and ethnicity contribute to the development of POAF in the second peak [6]. It should be noted that the way POAF is defined and monitored can significantly impact its detection which influences the reported incidence of POAF. As such, there is a greater detection rate of POAF when using continuous holter compared to a 12-lead ECG [2].
Despite the advances in surgical techniques and perioperative prophylactic drug trials, POAF remains the “most common adverse event” following cardiac surgery [7, 8]. CABG and valvular surgeries hold the greatest risk of developing POAF at 60–80%; they cause a greater scale of damage to the structural integrity of the heart via fibrosis and dilation of the valves and subsequently of the heart’s chambers [3, 9]. Furthermore, the nature of CABG and valvular surgeries is such that they’re more extensive and invasive so there is a greater likelihood of impinging on the electrophysiological network of the heart, leading to POAF [9]. The tachycardia consequently results in an increased risk of cardiac complications and thrombus formation, thus leading to an increased risk of stroke [10, 11]. Prevention of POAF is possible if appropriate predictors are monitored and managed through prophylactic therapies and lifestyle alterations. Fig. 1 is a summary of the predictors for POAF.
Diagram categorising the predictors for POAF.
Understanding the pathophysiology of POAF is imperative in order to guide management and possible prophylaxis options. The underlying mechanisms behind POAF are not yet well understood, but it is widely accepted to be multifactorial, attributing it to factors such as inflammation, sympathetic activation, cardiac ischemia and electrolyte imbalances [1]. Surgery is a taxing feat on the body, it renders patients in a hypercoagulable state with an increased risk of bleeding and it leaves the body in a highly stressed state [3]. This leads to sympathetic activation with a subsequent increase in heart rate and catecholamine release, which leaves the myocardium in a more vulnerable state, more susceptible to arrhythmias [3]. Furthermore, administration of fluids intraoperatively and postoperatively, especially when creating a hypervolemic state, may lead to atrial stretching which may cause POAF [3, 10]. POAF can arise as a result of hypoxia by two possible mechanisms: ischemia of the myocardium, reducing perfusion to the conduction system and pulmonary vein vasoconstriction which increases the pressure in the right atria and ventricle, leading to atrial stretch [10]. Fig. 2 is summary of the pathophysiology of POAF.
Diagram outlining the pathophysiology of POAF.
MicroRNAs(miRNA) regulate gene expression by binding to segments on the mRNA and preventing translation into the relevant protein [12]. Some miRNAs are involved with regulating the metabolic pathways in cardiomyocytes and so when these levels rise, they cause disruption to the cellular homeostasis and may predispose to an arrhythmia [12].
One study has discussed testing for atrial tissue microRNAs as a potential
biomarker for POAF [12]. It was found that sixteen microRNAs in the atrial
myocardium were expressed significantly differently (FC
Using the microarray analysis technique, it was found that miR-483-5p was the most overexpressed (FC = 1.804, p = 0.0193) and miR-208a was the most under expressed (FC = 2.458, p = 0.0205) in the atrial tissue of the patients who developed POAF [12].
In order to verify these findings, a quantitative reverse transcription polymerase chain reaction (PCR) was carried out for the expression of miR-483-5p and miR-208a alone in serum samples taken pre-operatively, 48 hours post-operatively and 96 hours post-operatively [12].
In the preoperative serum samples taken, miR-483-5p was notably higher in those that went on to develop POAF when compared with the other cohort that maintained sinus rhythm (p = 0.0137) [12]. However, miR-208a was not detected at any point during the PCR analysis of the serum samples as it is specific to cardiomyocytes. This can exclude miR-208a as a potential serum biomarker for POAF. Moreover, miR-483-5p expression significantly increased 48 hours postoperatively in the group that developed POAF (p = 0.046) compared to the other group that displayed no significant change (p = 0.9507), showcasing the prolonged effects of a raised miR-483-5p preoperatively [12].
Receiver Operating Characteristic analysis has revealed that testing for the expression of miR-483-5p in pre-operative serum, to predict the development of POAF has a 78% diagnostic accuracy (sensitivity and specificity of 77.78% and 77.27%) [12].
Other specific miRNAs that have been associated with the development of POAF include miRNA-23a and miRNA-26a. Samples were taken pre-operatively and post-operatively from patients undergoing a CABG procedure. It was found that circulating levels of miRNA-23a and miRNA-26a in the pre-operative serum were similar across those who did not develop POAF and those that did. However, there were significantly lower circulating levels of miRNA-23a (p = 0.02) and miRNA-26a (p = 0.01) in the post-operative serum of those that developed POAF [13]. Despite this study demonstrating that circulating miRNA can be used to identify those at risk of POAF, there was only a difference seen in the post-operative serums. Therefore, it may be able to categorise risk of POAF after surgery but not prior.
Therefore, a serum blood test prior to surgery screening for elevated plasma micro-RNA 483-5p may be valuable in identifying those who are more susceptible to developing POAF. This can be performed alongside other preoperative biomarkers that have been identified such as C-reactive protein (which has a lower diagnostic accuracy of 68%) [12].
One important limitation of the Receiver Operating Characteristic analysis is the relatively small patient cohort of thirty four patients [12]. A larger patient cohort should be recruited in order to strengthen the reliability of the study [12]. Further inquiry into the potential mechanism of POAF should be conducted to find the cause in expression which would further validate the findings [12].
Understanding the past medical history of a patient prior to cardiac surgery is crucial when evaluating the risk of developing POAF. This will identify pre-existing cardiovascular conditions such as heart failure, hypertension and myocardial infarction which have been found to be significant predictors of POAF incidence in a meta-analysis [14]. The study analysed 36,834 subjects from twenty-four studies: with a 28% incidence of POAF. The odds ratio for a history of heart failure were combined across eight studies to get a value of 1.56 (95% confidence interval (CI)) [14], in favour of the patients that did not have a history of heart failure. This suggests that a population with a history of heart failure are 56% more likely to develop POAF than their counterparts [14]. The pooling of odds ratios for hypertension and a history of myocardial infarction was then performed. Nineteen studies were analysed for hypertension data and found an average of 29% higher odds of POAF occurring in hypertensive patients compared to those without hypertension [14]. A history of myocardial infarction across ten studies found patients with a history of myocardial infarction are expected to have an 18% higher odd of POAF than those without [14].
Based on the odds ratios alone, heart failure is the best predictor of POAF to
note from a medical history out of these three variables. However, the meta-
analysis across the eight studies for history of heart failure has a high
heterogeneity value (I
There were a multitude of risk factors that were found across the papers for
POAF involving the left atrium such as: left atrial enlargement or an increased
diameter of the left atrium [5, 14, 16, 17], higher left atrial volume index of
In a retrospective study, pre-operative and post-operative ECGs were obtained
along with an echocardiographic assessment to evaluate various functions of the
heart. Many of the variables tested for were associated with POAF when the
univariate analysis was performed, with right atrial volume index (RAVi) (odds
ratio (OR): 5.7, 95% CI: 2.5–8.5, p
In a long term follow up of an ablation procedure, the documentation of AF
before the procedure (OR: 3.53) along with previous use of flecainide (OR: 3.33)
were independent risk factors for the occurrence of POAF after the procedure
[17]. The previous use of flecainide (OR: 2.43) and pre- and intra- procedural AF
(OR 3.81) also predicted additional need for ablation [17]. Flecainide is an
antiarrhythmic medicine that is used to treat irregular heartbeats and has been
found to be particularly effective in the treatment of Atrial fibrillation [22].
Using this evidence, it should be considered that any flecainide course of
treatment should be stopped at least 5 half-lives prior to cardiac surgery or
procedure [17], particularly ablation, to minimise the risk of POAF occurring.
The same study also supports that left atrial diameter (OR: 2.96) is an
independent risk factor for POAF. These variables all have a p value
below 0.05 so are considered statistically significant [17]. A meta-analysis of
sixteen papers has supported the claim that a history of atrial fibrillation,
particularly a long duration and persistent AF, is a significant predictor for
the occurrence following surgery in addition to increased left atrial diameter
[16]. The hazard ratio, when compared to a reference group was 1.25 (95% CI:
1.12–1.3, p
These papers suggest that left atrial function is likely to be impaired in those
that are more at risk of developing POAF; one paper specifically finds that it is
impaired excitation-contraction coupling in atrial myocytes that contributes to
this [23]. A key finding was that the SERCA2a protein content was significantly
reduced in those patients that developed AF after open-heart surgery compared to
those that did not [23]. This was indicative of “reduced SERCA- mediated
Ca
Due to the large volume of supporting evidence that left atrial abnormalities are risk factors for developing atrial fibrillation post cardiac surgery [5, 14, 16, 18, 19, 23], it would be valuable to test for any abnormalities prior to surgery using an electrocardiograph [18, 23]. The importance of Speckle Tracking Echocardiography (STE) in prognosis and diagnosis is crucial as it can be used to evaluate myocardial function in many different clinical scenarios. Using this technique, the degree of myocardial deformation and dysfunction can be assessed. It is particularly valuable at assessing the atrial contractile function and the left atrial reservoir [24]. This is performed by evaluating peak atrial longitudinal strain (shown to be decreased in those who develop POAF) [19, 20] and peak atrial contractile strain (shown to be decreased in those who develop POAF) [23]. The technique can also identify any left atrial dilation and fibrosis which are often linked to the generation of AF [24].
A biomarker miRNA has been identified which suggests that a simple serum blood test can be performed on patients undergoing cardiac surgery to look for this predictor [12]. This combined with the research on ‘altered atrial cytosolic calcium handling’ [23] will contribute towards understanding the pathophysiology behind arrythmias, including POAF [25]. Fig. 3 outlines the association between left atria (LA) strain and development of POAF.
Graphs displaying the association between left atria (LA) strain and POAF after catheter ablation therapy [26].
Advancing age is the most widely proven major predictor in the occurrence of
POAF [27, 28, 29, 30, 31]. In patients aged 72 years or older, the risk of POAF is
approximately five times greater than in patients who are aged 55 or younger [2].
In a study of 999 patients Todorov et al. [31] found age to be the most
powerful predictor of POAF (OR = 1.448 per decade increase (p
Sex has also been found to play a role in POAF. Fragão-Marques et al. [32] conducted a study of 379 patients who underwent isolated AVR surgery. They used multiple logistic regression to look at gender-specific predictors of POAF and found an independent association between increased postoperative peak lactate and POAF in men and a lower mean aortic valve gradient with POAF in women (area under the curve (AUC) for the model = 0.77 [0.68–0.86] and 0.69 [0.60–0.78] for men and women, respectively) [32]. At a 4-year follow-up Fragão-Marques et al. [32] found that POAF was linked to increased risk of death in men but not in women. Conflicting results were obtained by Filardo et al. [33] who discovered that the effect of POAF on long-term survival after CABG surgery did not differ between the sexes. Filardo et al. [33] also found that the incidence of POAF after CABG surgery was 32.8% in men, and 27.4% in women. Over the 9-year period of their study they found that women had a significantly lower risk of POAF after CABG surgery (absolute difference, –5.3% (95% CI: –10.5% to –0.6%)), and that they had significantly shorter first (–2.9 hours, 95% CI: –5.8 to 0.0), and longest (–4.3 hours, 95% CI: –8.3 to –0.3) AF duration [33]. Evidence into male sex as a predictor for POAF is controversial. Thus, further research is required to explore the influence of gender on development of POAF before a conclusion is drawn [2].
A study of 80 people by Lu et al. [34] found that preoperative levels
of plasma endothelin-1 (ET-1) were found to be significantly higher in patients
who developed POAF compared to those who did not develop POAF (2.23
Caucasian ethnicity has been found to be a predictor for POAF [5, 7, 36, 37]. A
study by Efird et al. [37] of 13,594 patients undergoing first-time,
isolated CABG found that POAF is significantly associated with white race (95%
CI, p
Biomarker | Study referenced | Statistical significance (p value) |
miRNA-483-5p | Elevated serum microRNA 483-5p levels may predict patients at risk of post-operative atrial fibrillation [12] | When compared to preoperative samples, there was a significant increase in the expression of miRNA-483-5p at the 48 hour postoperative time point in the POAF-group (p = 0.046). While in the non-POAF group, there was no significant change in serum expression in the samples collected preoperatively and 2 days postoperatively [12] |
miRNA-29a | Non-invasive biomarker-based risk stratification for development of new onset atrial fibrillation after coronary artery bypass surgery [19] | Preoperative amino-terminal-procollagen-III-peptide (103.1 |
miRNA-23a and miRNA-26a | Analysis of Circulating miR-1, miR-23a, and miR-26a in Atrial Fibrillation Patients Undergoing Coronary Bypass Artery Grafting Surgery [13] | There were reduced expression levels for miRNA-23a (p = 0.02) and -26a (p = 0.01) in the POAF group during the postoperative period in comparison to preoperative results with receiver operating curve of 0.63 (confidence interval [CI]: 0.51–0.74) and 0.66 (95% CI: 0.55–0.77), respectively [13] |
miRNA-199a | Altered expression of micro-RNA 199a and increased levels of cardiac SIRT1 protein are associated with the occurrence of atrial fibrillation after coronary artery bypass graft surgery [39] | miRNA-199a was lowered in 29 patients that developed POAF after surgery in comparison to 20 patients that remained in sinus (p = 0.022) [39] |
Mitochondrial DNA (mtDNA) | Relation of Mitochondrial DNA Copy Number in Peripheral Blood to Postoperative Atrial Fibrillation After Isolated Off-Pump Coronary Artery Bypass Grafting [40] | In patients with POAF the mtDNA copy number was drastically higher (n = 101, 21%) than in those who remained in sinus following CABG procedure (p |
Single nucleotide polymorphisms (SNPs) | Polymorphism rs2200733 at chromosome 4q25 is associated with atrial fibrillation recurrence after radiofrequency catheter ablation in the Chinese Han population [41] | Allelic analysis was conducted and a strong association was found between rs2200733 and AF recurrence after ablation (p = 0.011) [41] |
In the case of POAF, modifiable predictors include diseases such as obesity and a high BMI [29, 42, 43]. A meta-analysis by Phan et al. [43] found that patients who were obese were significantly more likely to develop POAF than the non-obese patients they were compared to (p = 0.006). Yamashita et al. [14] conducted a systematic review and meta-analysis and found a significant link between COPD and POAF (pooled odds ratio 1.36: 1.13–1.64). Yamashita et al. [14] also identified hypertension as a significant risk factor for POAF (pooled odds ratio 1.29: 1.12–1.48) [44]. Chronic kidney disease has also been found to be a significant risk factor by Musa et al. [45] who examined 637 patient records (adjusted OR: 2.124, 95% CI: 1.057–4.268, p = 0.034). Obstructive sleep apnoea has also been found to be a risk factor for POAF as a retrospective cohort study of 506,604 patients found that patients with OSA were more likely than non-OSA patients to develop POAF (OR = 1.04, 95% CI: 1.01–1.08) [46].
Chen et al. [47] conducted a meta-analysis including 18,086 patients and found that the CHAD2DS2-VASc score is an independent predictor of POAF (OR: 1.46; 95% CI: 1.25–1.72). Furthermore, Burgos et al. [48] led a study of 3113 patients and compared the performance of three scoring systems in calculating risk of developing POAF: HATCH score, POAF score and CHAD2DS2-VASc. It was found that the CHAD2DS2-VASc score had the greatest diagnostic ability (AUC-ROC was 0.77 (95% CI: 0.75–0.79)),whereas the POAF score had a moderate diagnostic ability, (AUC-ROC, 0.71 (95% CI: 0.69–0.73)) [48]. The HATCH score had the lowest diagnostic ability out of the three scoring systems contrasted (AUC-ROC = 0.70 (95% CI: 0.67–0.72))[48]. This signifies that the most discriminative test to use was the CHAD2DS2-VASc score. Moreover, inferring from this study, it can be concluded that implementing the CHAD2DS2-VASc score in clinical practice would be most useful as it was the most sensitive scoring system with sensitivity of 80% (95% CI: 76.85%–83.12%) in comparison to the POAF score (sensitivity of 62%, CI 95%: 58.38%–65.96%) and HATCH score (sensitivity of 58%, 95% CI: 53.75%–61.47%) [48]. Further studies critiquing and comparing the three scoring systems are required to identify the most useful scoring model.
Vitamin C has been found to be a predictor of POAF. In a systematic review and
meta-analysis by Shi et al. [49] including thirteen trials involving
1956 patients Vitamin C was found to significantly reduce incidence of POAF both
when used alone (RR: 0.75, 95% CI: 0.63–0.90, p = 0.002) and when used
in addition to other therapies (statins or beta-blockers) (RR: 0.32, 95% CI:
0.20–0.53, p
Vitamin D level has also been found to be a predictor of POAF and it has been suggested that lower vitamin D levels contributes to the development of POAF [50]. A randomized clinical trial by Özsin et al. [50] of 100 patients found vitamin D level to be an independent predictor of POAF after CABG surgery (OR: 0.855, 95% CI: 0.780–0.938, p = 0.001). However, this finding has not been replicated in all studies, as it was found in Cerit et al.’s [51] study of 128 patients that while Vitamin D levels do significantly negatively correlate with left atrial diameter, it was not an independent predictor for POAF. Table 2 (Ref. [48, 52, 53]) is summary of the risk scoring models.
Risk factor | CHADSVASc score given | HATCH score given | POAF score given |
Age 60–69 | 1 | ||
Age 65–74 | 1 | ||
Age 70–79 | 2 | ||
Age |
2 | 1 | |
Age |
3 | ||
Female sex | 1 | ||
Stroke | 2 | 2 | |
Congestive heart failure | 1 | 2 | |
Hypertension | 1 | 1 | |
Chronic obstructive pulmonary disease | 1 | 1 | |
Diabetes mellitus | 1 | ||
Vascular disease | 1 | ||
eGFR |
1 | ||
Valve surgery | 1 | ||
Preoperative Intra-aortic balloon pump (IABP) | 1 | ||
Emergency operation | 1 | ||
Left ventricular ejection fraction |
1 |
Establishing causation of POAF through intra-operative predictors such as: type of procedure, need of reopening for exploration post-surgery, durations of cardiopulmonary bypass (CPB) and aortic cross clamp is pivotal in order to reduce the incidence of post-operative atrial fibrillation (Table 3, Ref. [44, 54, 55, 56]).
Predictor | Comment | Proposed cut off values/modifications to reduce incidence of POAF |
Aortic cross clamping duration | Association between duration of aortic cross clamping and POAF development has been noted. Duration of aortic cross clamping of |
Aortic cross clamping time should be kept under 60 minutes. |
Cardiopulmonary bypass (CPB) | The risk of developing POAF has been found to be double in patients undergoing CPB due to the activation of the complement system which causes extensive inflammation. The longer a patient spends under CPB, the greater the risk of developing POAF. Statistically significant relationship has been noted in patients who spent over 100 minutes under CPB and the development of POAF. | CPB duration should be kept under 100 minutes. |
On pump CABG | A greater incidence of POAF was found in cohorts undergoing on pump CABG as opposed to off pump CABG in patients under sixty-five. | CABG procedures should be done off pump, especially in patients under sixty-five. |
Mitral valve intervention | Procedures involving mitral valve interventions have be found to have the greatest incidence of POAF post procedure. Incidence of POAF after mitral valve replacement has been noted to be 48.8%. | - |
Combing procedures | Combing valve surgery and CABG has been reported to have the greatest risk of developing POAF. | Patients should not undergo multiple procedures in one surgery. |
Additionally, the risk of developing POAF triples if a patient undergoes three procedures within one surgery. | In particular, valve surgery and CABG should not be combined. |
Several studies suggest valvular surgeries have a greater incidence of POAF. A recent paper following patients with congenital heart disease suggested that the incidence of POAF is greatest post surgeries involving mitral valve interventions [44]. A comparison between interventions in the four different valves showed that the greatest risk of developing POAF was after mitral valve intervention (OR: 3.38, 95% CI , p = 0.009) [44], compared with the lowest risk being associated with pulmonary valve interventions (OR: 0.72, 95% CI , p = 0.464) [44]. Additional papers [54, 55] have supported the claim, with it being reported that incidence of POAF was 48.8% following mitral valve replacement [54]. However, the pathological or structural abnormalities of the mitral valve requiring surgery which lead to left atrial enlargement alongside the trauma and inflammation during surgery contribute to the development of post-operative atrial fibrillation [54]. The combination of CABG and valve surgery has been reported to have the greatest risk of developing POAF [55, 57, 58].
A study by Emmanuel Akintoye et al. [55] suggests the risk of POAF triples when patients undergo an extensive operation combining CABG, valvular and one other procedure (OR: 2.9, p = 0.01) [55]. It can be thought that the increased risk of developing POAF when multiple procedures are combined is due to the increased surgical trauma and longer time under cardiopulmonary bypass.
Cardiopulmonary bypass (CPB) use during surgery has long been associated with
POAF. A paper focusing on 1462 patients found a greater incidence of POAF in
patients undergoing CPB (OR: 2.4, 95% CI, p =
It is thought that exposure of plasma proteases to the nonendothelial lining of the CPB circuit and the increased production of tissue factor due to vascular injury leads to all aspects of the complement system becoming activated. Furthermore, the ischemia and reperfusion during CPB contributes to the inflammation as the local response to reperfusion moves into the systemic circulation resulting in increased serum cytokine [59]. The inflammatory response is thought to contribute to the development of POAF.
Several studies suggest that there is a correlation between longer times of CPB and the development of POAF [18, 54, 60].
A study by Ming Ann Sim et al. [60] following 1743 patients undergoing
on pump CABG saw a relationship between longer CPB duration and the development
of POAF, (114.7 min vs. 97.9 mins, p
However, some studies have suggested that there is no relationship between duration of CPB and development of POAF as the data has been deemed statically unsignificant [45, 61].
It is understood that the activation of the complement system is highest on days two and three post operation in patients undergoing on pump CABG, the increased inflammatory response has been assumed to contribute to the greater development of post-operative atrial fibrillation in patients undergoing on pump CABG [56, 62].
Many studies have been conducted into whether off pump CABG (OPCAB) reduces the incidence of POAF based on the theory that there is less activation of the complement system [56]. However, a recent study following 1836 patients monitoring the incidence of POAF between OPCAB and CABG showed no significant difference between the cohorts, reporting an incidence of (19.3% vs. 18.3%) [56] respectively. The slightly higher incidence of POAF in the OPCAB group was due to a greater population within the OPCAB group having hypertension [56]—an independent predictor of POAF. Further studies similarly showed that there was no significant difference in reduced incidence of POAF following OPCAB [63, 64].
Overall, evidence suggesting no correlation between OPCAB and reduced incidence of POAF outweighs evidence suggesting OPCAB can reduce cases of post-operative atrial fibrillation. In one study, multivariate adjustment showed that there was a lower risk of POAF in men (OR: 0.53; 95% CI, 0.33–0.85) [55] following OPCAB compared to women (OR: 1.7; 95% CI: 0.61–4.5) [55]. Similarly, under sixty-five (OR: 0.35; 95% CI: 0.16–0.75) [55] benefited more from OPCAB than over sixty-five (OR: 0.88; 95% CI: 0.52–1.5) [55], however univariate analysis of OPCAB did not affect cases of POAF suggesting that the development of POAF is multifactorial.
Aortic cross clamping has been associated with greater levels of pro inflammatory markers, in particular IL6 due to hypoxia [65], the proinflammatory state contributes to the development of POAF.
Evidence on aortic cross clamp time impacting the development of POAF is diverse.
The largest cohort study focusing on 637 patients [45] found the aortic cross clamp duration to be the same in both study groups (64 minutes) [45], thus showing no significant relationship [45]. Further studies analysing smaller populations also showed no statistically significant link [18, 63].
In contrast, Michael A Brock et al. [44] discovered a significant
relationship between duration of aortic cross clamp
Patients undergoing cardiac surgery are routinely put onto a ventilator until they have recovered from the sedative effects of the anaesthesia [67]. Thereafter, they are able to regain their ability to ventilate independent of any external source. However, in critically unwell patients, often with numerous comorbidities, they’ll require the assistance of a ventilator for longer in order to wholly regain lung function [67].
Multiple papers have proven the significance of prolonged ventilation with the subsequent diagnosis of POAF, often as the most prominent post-operative risk factor [2, 5, 7, 31, 45, 67, 68, 69, 70]. Prolonged ventilation may be necessitated by hypoxia, hypovolemia, sepsis and electrolyte imbalances that occurs post operatively, each of which contributes towards POAF [71]. Sona Dave et al. [54] found the odds of developing POAF in these patients were 12.28 times higher (p = 0.023). A retrospective study consisting of a larger cohort of 637 patients found that the median duration spent on ventilation was 1155 minutes (19.25 hours) in their non-POAF patients, compared to 1277.5 minutes (21.29 hours) in their POAF patients [42]. Although this implies a narrow gap between the groups, this study also concluded that ventilatory support was a significant predictor of POAF [45].
POAF is associated with a multitude of postoperative factors that may contribute
towards a longer ICU stay for these patients: prolonged ventilation, prolonged
ionotropic support, electrolyte imbalances, pulmonary pathologies, AKI,
hemodynamic instability and fluid overload. Consequently, longer ICU stays are
recognised as a risk factor of POAF due to the need to further observe, manage
and stabilise these patients [67, 68]. The aforementioned retrospective study
echoed this finding (ICU stay p
Cardiac surgery is a strenuous feat on the human body; it can lead to predisposing factors of POAF such as pericardial inflammation, fluid imbalance as well as an excess of catecholamines due to sympathetic activation during this state of increased stress [67]. In regard to fluid balance, a postoperative volume overload has been associated with POAF, especially when there’s a positive fluid balance detected in the first two days after cardiac surgery [2, 31, 69].
Notably, patients with POAF are more likely to have a postoperative autonomic imbalance which necessitates the use of more aggressive or longer periods of ionotropic support; it is not yet clear whether this is a causative mechanism or if the association is due to inotropes being used as a management strategy in unstable patients at higher risk of POAF [67, 68]. Ionotropic support is indicated when there’s considerable preoperative myocardial dysfunction or if intraoperative technical difficulties occur [67].
Sona Dave et al. pointed out that although it was not statistically significant, the incidence of POAF was greater in those that required more than 30 minutes of ionotropic support, but other studies were able to determine that prolonged ionotropic support was statistically significant, such as A.Omar et al. (p = 0.04) [54, 68]. Sona Dave et al. may not have been able to reach this conclusion due to their notably smaller sample size of 150 patients compared to 267 in A.Omar et al.’s study [54, 68].
Current guidelines may dictate intraoperative and postoperative magnesium and potassium supplementation, yet both of these electrolytes been linked to POAF [5, 36, 45].
Electrolyte supplementation is used as a prophylactic means to combat the hypomagnesemia that commonly occurs post surgically and may lead to POAF as “magnesium regulates calcium mobility, influences cardiomyocyte contractility, and has been shown to have anti-ischemic effects” [5]. However, Jason W Greenberg et al. [5] signposted that high levels of magnesium may also contribute towards POAF, despite the apparent anti arrhythmic properties of magnesium. This may be clarified by Jeroen Boons et al. [36], who states that the association between hypomagnesemia and POAF has been widely studied and accepted, but rather it’s the use of magnesium supplementation as prophylaxis that is doubted, and this was later clarified by a meta-analysis that it did not prevent POAF.
One study deduced that where prophylactic magnesium supplementation was used, it only prevented POAF in patients with hypomagnesemia and not those who had normal serum magnesium levels [45].
This same study found that of the patients who developed POAF, 69% had hypokalaemia whereas only 24% from the non POAF group had hypokalaemia [45]. However, the association between serum potassium levels and POAF has been scrutinised in other studies who’ve concluded that there is no association between the two [5].
“Up to one in every three patients develop renal dysfunction” post cardiac surgery [42].
AKI as a common form of renal dysfunction post cardiac surgery has been heavily
related to POAF [42, 45, 69]. Upon adjusting for preoperative variables, one
study found considerable statistical significance (adjusted odds ratio: 1.572;
95% CI: 1.295–1.908; p
Similarly, there have been findings that link postoperative infections to the development of POAF, but there is no clarity in the onset of POAF and whether it occurred as a consequence of the infection or if they are unrelated [2, 7, 45, 72]. Nonetheless, studies have found that patients who develop postsurgical infections are more likely to be diagnosed with POAF (p = 0.008) with one study listing postoperative pneumonia in particular as a prominent postoperative risk factor [2, 72]. Other pathologies alongside infection have been associated with POAF such as pleural effusion and cardiac tamponade as they lead to “an increased inflammatory response” which is one of the proposed pathophysiological mechanisms behind POAF [7]. One study discovered that pulmonary complications (p = 0.018) and post-operative fever (p = 0.018) led to POAF, but the paper failed to describe what the pulmonary complications entailed of so it cannot be assumed to be infection-based pathology [45].
Re-opening for exploration following surgery can be considered towards contributing to the development of atrial fibrillation post cardiac surgery [63, 73]. A study following 16793 patients investigated the detrimental effects of re-exploration surgery. 661 patients required reopening for re-exploration and 36.3% of patients developed new onset of atrial fibrillation, compared with 26% of patients in the cohort who did not require re-exploration [73]. Whilst a smaller population required re-opening for exploration, a greater population developed POAF, suggesting that there is an increase in surgical trauma contributing to increased inflammation leading to POAF. Moreover, Mohamed F. Ismail et al. [63] followed 252 adult patients post CABG surgery which saw a greater percentage of patients in the POAF group requiring re-exploration following bleeding than in the non POAF group (9.5% vs. 1.2%, p = 0.0003) [63]. It was suggested that patients requiring re-exploration are twice as likely to develop POAF [63], however other factors were thought to contribute to the development of POAF. Further research is required to establish re-exploration for bleeding as a significant predictor of post-operative atrial fibrillation following cardiac surgery.
Major guidelines such as The European Association for Cardio-Thoracic Surgery
(EACTS) recommends beta blockers and other antiarrhythmics postcardiac surgery,
in order to combat the surge in adrenaline and noradrenaline [2, 5, 71]. The
profound prophylactic effects of beta blockers in reducing the incidence of POAF
was showcased in a meta-analysis (OR: 0.33, 95% CI: 0.26–0.43, I
Adaptations within the management of patients throughout their care would assist in reducing the incidence of POAF and subsequently reduce the incidence of the morbidity and mortality associated with the arrythmia.
An additional blood test added into the pre-operation assessment to test for the biomarker microRNA 483-5p and endotherlin-1 would assist in differentiating between patient groups more susceptible towards developing POAF [12, 34, 35]. Knowing the results of these biomarkers would ensure patients start prophylactic therapy, such as beta-blockers and assist in planning after care for patients. Baseline magnesium levels should be detected from preoperative blood tests and prophylactic magnesium supplements should be given to patients with hypomagnesemia, as it is accepted that magnesium supplements assist in reducing the incidence of POAF in cohorts with hypomagnesemia [45].
Additionally, prophylaxis supplements of vitamin D and vitamin C pre-surgery would assist in reducing the incidence of POAF in susceptible patient groups [49, 50]. Ensuring patient cohorts appropriately manage their health conditions such as hypertension may also reduce the risk of POAF development.
Modifications to cardiac procedures by reducing the duration a patient spends under cardiopulmonary bypass or aortic cord clamping may contribute to reducing the risk of POAF development post cardiac surgery [44, 60]. However, it would make procedures more challenging as they would need to be conducted in less time.
Additionally, the suggestion to reduce the number of procedures done within one operation in order to reduce the risk of POAF would increase the strain on healthcare services and patients [55]. Patients would require multiple surgeries to treat conditions resulting in longer hospital stays and longer time under general anaesthetic.
Longer ICU stays and ventilator times have been indicated as predictors towards the development of POAF, ideally modifications in patient care should be conducted in order to reduce the time patients stay in ICU [42, 45]. Moreover, it has been noted that inotropic support of longer than 30 minutes has a correlation with the development of POAF; modifications should be attempted to reduce the length of inotropic support [68].
Surgical teams should attempt to reduce the incidence of re-exploration following post-surgery bleeding as it contributes to further trauma and inflammation, thus contributing to an increased incidence of POAF [63]. Furthermore, patients should be given beta blocker therapy immediately post-surgery as delayed postoperative beta blocker therapy can contribute towards the development of POAF [63].
Whilst the aetiology of POAF is multifactorial, these adaptions to patient care will assist in reducing incidence of the tachycardia.
Many complications have been noted as a consequence of POAF. Increased risk of thrombus formation within the left atria, leading to a greater risk of stroke is a significant adverse effect. In patients undergoing cardiac surgery, the risk of stoke following onset of POAF increased by “20%” [11].
Additionally, a “stroke risk of 1.47% at 1 year post-discharge in POAF patients was noted, in comparison to 0.36% in controls without AF” [3].
Patients have reported to be a at greater risk of haemodynamic instability post-surgery following the development of POAF, consequently resulting in longer intensive care unit stays [1]. Besides stroke, patients developing post-operative atrial fibrillation are at a greater risk of suffering from additional cardiac conditions, such as: congestive heart failure, myocardial infarctions and cardiac arrests [10]. Damage to the kidneys is also prevalent with both acute kidney injury and chronic kidney injuries being noted as adverse outcomes of POAF [2, 75].
POAF is a great psychological and physiological burden for a patient as well as the healthcare system. Thus, it is important to identify high risk patients in order to implement prevention strategies in a timely manner.
Although the mechanism behind POAF is not fully understood, risk factors such as: atrial abnormalities, obesity, obstructive sleep apnoea, inflammation caused by cardiopulmonary bypass, electrolyte imbalances and acute kidney injury post cardiac surgery alongside others have been consistently linked to the development of POAF. Further exploration into these factors may reveal the precise pathophysiology of POAF and subsequently, establish more effective treatment options.
MQ, AA, EM, VM contributed to the writing of this paper. MQ, AA, EM, VM researched the topic and selected appropriate papers for the review. MQ and AA edited and proofread the manuscript. MQ referenced the paper. AH proposed review title, reviewed and critically edited the paper. All authors have approved the final form of the manuscript.
Not applicable.
Thank you to all peer reviewers for their suggestions and opinions. Thanks to A.H. for the guidance and support provided in writing this manuscript.
This research received no external funding.
The authors declare no conflict of interest.