Summary
This retrospective cohort study of 589 valve surgery patients (89 with POAF, 500 without) identified gender, age, leukocyte count, and thyroid-stimulating hormone (TSH) as independent risk factors for early postoperative atrial fibrillation. The authors developed and validated a nomogram prediction model with moderate discriminatory performance (AUC 0.747), which may assist in preoperative risk stratification, though the authors acknowledge limitations from the restricted sample size and single-centre population.
Regional applicability
The findings on POAF risk factors may have relevance to UK cardiac surgery practice, though applicability would depend on validation in UK cohorts and comparison with existing risk stratification tools used in NHS cardiac centres. The nomogram would require prospective validation and health economic assessment before potential adoption in UK perioperative protocols.
Key measures
Incidence of POAF (15.1%), area under ROC curve (0.747, 95% CI: 0.688–0.806), sensitivity (74.2%), specificity (68%), Hosmer-Lemeshow test result (χ² = 11.141, P = 0.194)
Outcomes reported
The study identified independent risk factors for postoperative atrial fibrillation (POAF) occurrence in valve surgery patients and developed a nomogram prediction model. The model was evaluated for diagnostic efficacy using ROC curves and calibration assessment.
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