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Incidence and predictors of post-surgery atrial fibrillation occurrence: a cohort study in 53,387 patients
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  • Guido Del Monaco,
  • Enrico Brunetta,
  • Stefano Rodolfi,
  • Donah Zachariah,
  • Konstantinos Vlachos,
  • Alessia Latini,
  • Maria De Santis,
  • Gabriele Pinna,
  • Carlo Ceriotti,
  • Paola Galimberti,
  • Luca Poggio,
  • Antonio Taormina,
  • Vincenzo Battaglia,
  • Giulio Falasconi,
  • Diego Penela Maceda,
  • Michael Efremidis,
  • Konstantinos P. Letsas,
  • Carlo Selmi,
  • Antonio Frontera
Guido Del Monaco
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit

Corresponding Author:guido.delmonaco@humanitas.it

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Enrico Brunetta
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Stefano Rodolfi
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Donah Zachariah
Royal Papworth Hospital NHS Foundation Trust Cardiology Service
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Konstantinos Vlachos
Onaseio Kardiocheirourgiko Kentro
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Alessia Latini
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Maria De Santis
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Gabriele Pinna
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Carlo Ceriotti
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Paola Galimberti
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Luca Poggio
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Antonio Taormina
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Vincenzo Battaglia
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Giulio Falasconi
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Diego Penela Maceda
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Michael Efremidis
Onaseio Kardiocheirourgiko Kentro
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Konstantinos P. Letsas
Onaseio Kardiocheirourgiko Kentro
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Carlo Selmi
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Antonio Frontera
IRCCS Humanitas Research Hospital Electrophysiology and Electrostimulation Unit
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Abstract

INTRODUCTION. Post-operative atrial fibrillation (POAF) represents the most common arrhythmia reported in the days following surgery. We aimed to investigate the incidence of POAF in the 28 days after surgery and determine its predictors, with a specific focus on inflammation markers. METHODS. We performed a retrospective single center cohort study that included consecutive adult patients who underwent a major surgical procedure between January 2016 to January 2020. Patients were divided into four subgroups according to the type of surgery: (I) orthopedic, (II) non-thoracic non-abdominal, (III) abdominal and esophageal, or (IV) lung and cardiovascular surgery. RESULTS. Among 53,387 included patients (48.8% male, mean age 59 ± 15.9 years), POAF occurred in 570 (1.1%) with a mean latency after surgery of 3.4±2.6 days. Ninety patients died (0.17%) after a mean of 13.7±8.4 days. The 28-day arrhythmia-free survival was lower in patients undergoing lung and cardiovascular surgery ( p<0.001). Patients who developed POAF had higher levels of C-Reactive Protein (CRP) (0.70±0.03 vs. 0.40±0.01 log10 mg/dl; p<0.0001). In the multivariable Cox regression analysis, adjusting for confounding factors (age, gender, length of hospital stay, and group of surgery), CRP was an independent predictor of POAF [HR per 1 mg/dL increase in log-scale = 1.81 (95% CI 1.18–2.79); p=0.007]. Moreover, independent predictors of POAF were also age (HR/1 year increase = 1.06 (95% CI 1.04–1.08); p<0.0001), lung and cardiovascular surgery (HR 23.62; 95% CI 5.65–98.73); p<0.0001), and abdominal and esophageal surgery (HR 6.26; 95% CI 1.48–26.49; p 0.013). CONCLUSIONS. Lung and cardiovascular surgery had the highest risk of POAF in the presented cohort. CRP was an independent predictor of POAF and post-surgery inflammation status may represent a major driver in the pathophysiology.