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Ventricular fibrillation (VF) is characterized by rapid (>300 beats a per minute), irregular electrical activation with variable electrocardiographic waveforms that prevents coordinated myocardial contraction, resulting in immediate loss of cardiac output.1 It most commonly occurs in the context of coronary artery disease.2,3 Resuscitation efforts are critically time-dependent: with each minute of untreated VF, the survival rate declines […]

28/Predictors of pacemaker dependency in patients receiving devices following cardiac surgery

J Cranley (Presenting Author) - Royal Papworth Hospital, Cambridge; T Nye - Royal Papworth Hospital, Cambridge; O Omoniyi - Royal Papworth Hospital, Cambridge; J Cheung - Royal Papworth Hospital, Cambridge; E Hopley - Royal Papworth Hospital, Cambridge; M Bethell - Royal Papworth Hospital, Cambridge; D Kotecha - Royal Papworth Hospital, Cambridge; S Sarbjit-Singh - Royal Papworth Hospital, Cambridge; S Agarwal - Royal Papworth Hospital, Cambridge
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Published Online: Oct 3rd 2011 European Journal of Arrhythmia & Electrophysiology. 2021;7(Suppl. 1):abstr28
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Article

Introduction: Permanent pacemaker (PPM) implantation is a well-recognised short-term complication after cardiac surgery; however, in some cases, conduction system function may recover, leaving the patient with an unnecessary device and its associated morbidity.

Aims: In order to aid in decision-making process for PPM implantation post cardiac surgery, we sought to determine predictors of pacemaker dependency.

Methods: We identified patients who had undergone PPM implant within 30 days of cardiac surgery (bypass grafting and/or valvular surgery) at our institution between May 2016 and December 2019. Parameters including pre-operative ECG, surgical details and device follow-up data were collected. Pacemaker dependency (PPM-D) was defined as any of the following at the initial post discharge device check: no underlying rhythm at VVI 40, underlying junctional rhythm, RV pace percentage >80% or underlying rhythm rate of 40 bpm or less. Using a stepwise approach, we constructed a series of logistic regression models to predict PPM-D, minimising the Akaike Information Criterion (AIC) and maximising the AUROC/C-statistic to optimise discriminative performance.

Results: We identified 143 patients who had undergone PPM implantation for whom device follow-up information was available. Only seventy eight (54.5%) patients were PPM-D as defined. After multivariate logistic regression analysis two factors predicted PPM-D. The presence of post-operative complete AV block (OR 11.41; CI, 2.55–73.82; p=0.004) and QRS duration >120 ms on the post-operative ECG (OR 6.88; CI, 1.72–34.73; p=0.010) (Figure 1). Interestingly, neither surgery type (valve, bypass, etc.) nor any pre-operative ECG parameters were significantly associated in this cohort. A model incorporating just these factors had high discriminative capability with AUROC=0.749.

Conclusions: In post cardiac surgical patients, pacemaker dependency was only present in approximately half of patients at the post-discharge device check. Although this data requires external validation, assessing for complete AV block or a broad QRS may be helpful in deciding whether to implant PPMs in this patient group.

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