Clinical prediction rule for atrial fibrillation after coronary artery bypass grafting

Amar, David; Shi, Wei; Hogue, Charles W.; Zhang, Hao; Passman, Rod; Thomas, Betsy; Bach, Peter B.; Damiano, Terenzio; Thaler, Howard T.

doi:10.1016/j.jacc.2004.05.078

Cited by 149 publications

(110 citation statements)

References 28 publications

(82 reference statements)

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“…Atrial fibrillation is the most common complication occurring after POAF [1]. Despite advances in cardioplegic arrest and surgical techniques, AF incidence has paradoxically increased in recent years as a result of surgical patients being older and sicker, and due to advances in continuous ECG monitoring technology.…”

Section: Discussionmentioning

confidence: 99%

“…Atrial fibrillation (AF) is the most common arrhythmia occurring after coronary artery bypass graft (CABG) surgery, developing in approximately 15-30% of patients [1][2][3][4][5]. The development of AF is extremely common after cardiac surgery and is associated with longer intensive care unit and hospital stays, increased morbidity and mortality, and higher utilisation of healthcare resources [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Usefulness of HATCH score as a predictor of atrial fibrillation after coronary artery bypass graft

et al. 2016

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A b s t r a c tBackground: Atrial fibrillation (AF) after coronary artery bypass graft (CABG) surgery is associated with increased morbidity and mortality. The HATCH score was originally devised to predict the progression of paroxysmal AF to persistent AF. Aim:To determine whether the HATCH score predicts the development of AF after CABG surgery. Methods:The medical records of 284 consecutive patients, who underwent CABG surgery between January 2013 and December 2014, were retrospectively reviewed for the development of AF in the postoperative (POAF) period. The HATCH score, and clinical and echocardiographic parameters were evaluated for all patients.Results: Seventy (25%) patients developed POAF. The HATCH scores were higher in the POAF group (2.8 ± 1.8 vs. 1.1 ± 1.2, p < 0.001). The area of the HATCH score under the curve in the receiver operating characteristics analysis was 773 (95% CI 706-841, p < 0.001). When the HATCH score was 2 or more as a threshold, there was for POAF 72% sensitivity and 75% specificity. Conclusions:The results of the present study suggest that the HATCH score can be used to predict the development of POAF.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Usefulness of HATCH score as a predictor of atrial fibrillation after coronary artery bypass graft

et al. 2016

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“…All comorbidities and risk factors had been documented in patients’ medical records by physicians involved in their care and were consistent with established classifications and guidelines for disease definition and diagnosis outlined by the American College of Cardiology/American Heart Association/American College of Physicians-American Society of Internal Medicine Task Force on Practice Guidelines [13]. Well-established correlates of IAB, such as LAE, LA dysfunction and AF, were not objects of this investigation [6,7,8,9,10]. P wave dispersion (PWD), which commonly denotes an underlying mechanism of fractionated and nonhomogeneous propagation of sinus node impulses that is often associated with AF, may or may not be present with IAB and is therefore not included in the scope of our IAB-based investigation.…”

Section: Methodsmentioning

confidence: 99%

“…Not surprisingly, IAB is associated with LA electromechanical dysfunction (8.5% LA emptying fraction and 19.8 kdyn·s/cm LA kinetic energy compared with 24.6% and 64.7 kdyn·s/cm in controls matched for LA size; p < 0.0001), and thus, poses a risk for embolic strokes [7, 8]. Its reported prevalence of 52% among patients with atrial fibrillation (AF) versus 18% among controls demonstrates the arrhythmogenic propensity of IAB for such atrial tachyarrhythmias, especially in post-cardiac surgery patients [9, 10]. However, despite the magnitude of such risks, the etiology and clinical risk factors for IAB have not yet been clearly demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Potential Clinical Correlates and Risk Factors for Interatrial Block

et al. 2006

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Background: Interatrial block (IAB; P wave ≧110 ms) denotes a conduction delay between the atria, is strongly associated with atrial tachyarrhythmias, left atrial enlargement, left atrial electromechanical dysfunction, and is a risk for embolism. Despite this, potential risk factors for IAB have not been clearly defined. Methods: Patients admitted via the Emergency Department for nonacute medical reasons to the nontelemetry general medical floors of a tertiary care general hospital from October to November 2004 were screened for sinus rhythm on electrocardiograms. Four hundred and four patients who met our criteria were then evaluated for IAB on respective electrocardiograms. All patients were subsequently compared for common diseases as well as coronary artery disease (CAD) risk factors and divided into two groups, those with IAB and those without (control). Mean age ± standard deviation, odds ratios (ORs), 95% confidence intervals (CIs), r values, and p values were calculated. p values <0.05 were considered statistically significant. Results: From the sample (n = 404), 182 patients had IAB (45%; mean age 64.32 ± 19.27 years; males 51.6%) while 222 did not (control). CAD (OR 3.150, 95% CI 2.05–4.83; p < 0.001, r = 0.3), hypertension (OR 2.918, 95% CI 1.85–4.60; p < 0.001, r = 0.2), diabetes mellitus (OR 2.542, 95% CI 1.62–3.97; p < 0.001, r = 0.1), and hypercholesterolemia (OR 1.823, 95% CI 1.22–2.74; p = 0.004, r = 0.2) were significant risk factors and correlates for IAB. Multivariate analysis using stepwise linear regression revealed these factors as direct correlates of IAB. Conclusion: CAD, hypertension, diabetes mellitus and hypercholesterolemia appear to be risk factors for IAB in general hospital patients admitted for nonacute reasons. Considering the known sequelae of IAB, awareness of its associations with such risk factors could be important for patient risk stratification.

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“…Postoperative atrial fibrillation (PoAF) is one of the most common complications following coronary artery bypass grafting (CABG) 5. The reported incidences of atrial fibrillation (AF) after CABG range from 15% to 50%.…”

Section: Introductionmentioning

confidence: 99%

Plasma Circular RNAs, Hsa_circRNA_025016, Predict Postoperative Atrial Fibrillation After Isolated Off‐Pump Coronary Artery Bypass Grafting

Zhang

Shu

et al. 2018

JAHA

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BackgroundCircular RNAs (circRNAs) are pervasively expressed in highly divergent eukaryotes and are stable in body fluids. However, the link between circRNAs and onset of atrial fibrillation (AF) has not previously been investigated. We aimed to identify plasma circRNAs that are able predict AF after cardiac surgery.Methods and ResultsPlasma circRNA expression profiles were investigated in a total of 769 patients with or without AF after isolated off‐pump coronary artery bypass grafting. First, a circRNA microarray was used to screen 13 617 human circRNAs in plasma samples from patients in the discovery cohort (n=30). A quantitative polymerase chain reaction assay was then applied to evaluate the expression of 9 selected circRNAs in the training cohort (n=365). This approach revealed that hsa_circRNA_025016 was upregulated in patients with new‐onset AF with a high diagnostic accuracy as assessed by the area under the receiver operating characteristic curve (=0.802). Additionally, a satisfactory diagnostic performance of hsa_circRNA_025016 was found in the validation cohort (n=284). Furthermore, Kyoto Encyclopedia of Genes and Genomes biological pathway analysis indicated that hsa_circ_025016 participated in melanogenesis, insulin secretion, and the thyroid hormone signaling pathway. A positive correlation between hsa_circ_025016 and fasting blood glucose was also identified in both cohorts.ConclusionsHsa_circ_025016 is a potential biomarker for predicting new‐onset AF after isolated off‐pump coronary artery bypass grafting.

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Clinical prediction rule for atrial fibrillation after coronary artery bypass grafting

Cited by 149 publications

References 28 publications

Usefulness of HATCH score as a predictor of atrial fibrillation after coronary artery bypass graft

Usefulness of HATCH score as a predictor of atrial fibrillation after coronary artery bypass graft

Potential Clinical Correlates and Risk Factors for Interatrial Block

Plasma Circular RNAs, Hsa_circRNA_025016, Predict Postoperative Atrial Fibrillation After Isolated Off‐Pump Coronary Artery Bypass Grafting

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