Dataset Information

Relationship between preoperative FT3 levels and new-onset atrial fibrillation after off-pump coronary artery bypass grafting.

ABSTRACT:

Background

Postoperative atrial fibrillation (POAF) is the most common arrhythmia after cardiac surgery. While thyroid dysfunction can predict POAF, the association between preoperative serum free triiodothyronine (FT3) levels and POAF in patients undergoing off-pump coronary artery bypass (OPCAB) grafting remains unclear. This study aimed to investigate the relationship between preoperative FT3 levels and POAF in OPCAB patients.

Methods

This prospective observational study included patients with sinus rhythm and no history of atrial fibrillation or thyroid disease who underwent OPCAB and FT3 testing at the Tianjin Chest Hospital from June 2021 to March 2023. The relationship between FT3 level and POAF was evaluated using restricted cubic spline. Cox proportional hazards regression models were used to analyze the associations between FT3 concentration categories [low T3 syndrome (LT3S) (FT3 below the normal range), low normal FT3 (3.10-4.59 pmol/L), high normal FT3 (4.60-6.80 pmol/L)] and POAF, adjusting for potential confounders. Stratified analyses were performed to assess effect modification by gender and age (<60 vs. ≥60 years old).

Results

Among 875 patients, 259 (29.6%) developed POAF within 2 days after surgery. Restricted cubic spline analysis showed an S-shaped association between FT3 concentration and POAF risk. Compared to the low normal FT3 group, LT3S was associated with an increased risk of POAF [hazard ratio (HR), 1.41; 95% confidence interval (CI): 1.90-2.19], while high normal FT3 was associated with a decreased risk (HR, 0.72; 95% CI: 0.51-0.99). The association between FT3 and increased POAF risk was more pronounced in patients aged ≥60 years (HR, 1.41; 95% CI: 1.89-2.22).

Conclusions

Preoperative FT3 levels most likely could predict POAF risk after OPCAB, especially in patients aged 60 years and older. Measuring FT3 preoperatively may identify high-risk patients benefiting from close monitoring and prophylactic treatment. Further investigation of thyroid hormone replacement therapy for LT3S is warranted.

SUBMITTER: Li Y

PROVIDER: S-EPMC11320232 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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Publications

Relationship between preoperative FT3 levels and new-onset atrial fibrillation after off-pump coronary artery bypass grafting.

Li Yunfei Y Zhai Wenqian W Guo Zhigang Z Ren Min M Shuhaiber Jeffrey J Raja Shahzad G SG Lampridis Savvas S Han Jiange J

Journal of thoracic disease 20240628 7

<h4>Background</h4>Postoperative atrial fibrillation (POAF) is the most common arrhythmia after cardiac surgery. While thyroid dysfunction can predict POAF, the association between preoperative serum free triiodothyronine (FT3) levels and POAF in patients undergoing off-pump coronary artery bypass (OPCAB) grafting remains unclear. This study aimed to investigate the relationship between preoperative FT3 levels and POAF in OPCAB patients.<h4>Methods</h4>This prospective observational study includ ...[more]

PMID: 39144304

Similar Datasets

Project description:BackgroundThere is lack of tools to predict new-onset postoperative atrial fibrillation (NOAF) after coronary artery bypass grafting (CABG). We aimed to develop and validate a novel AI-based bedside tool that accurately predicts predict NOAF after CABG.MethodsData from 2994 patients who underwent CABG between March 2015 and July 2024 at two tertiary hospitals in China were retrospectively analyzed. 2486 patients from one hospital formed the derivation cohort, split 7:3 into training and test sets, while the 508 patients from a separate hospital formed the external validation cohort. A stacking model integrating 11 base learners was developed and evaluated using Accuracy, Precision, Recall, F1 score, and Area Under Curve (AUC). SHapley Additive exPlanations (SHAP) values were calculated and plotted to interpret the contributions of individual characteristics to the model's predictions.FindingsSeventy-seven predictive characteristics were analyzed. The stacking model achieved superior performance with AUCs 0·931 and F1 scores 0·797 in the independent external validation, outperforming CHA2DS2-VASc, HATCH, and POAF scores (AUC 0·931 vs. 0·713, 0·708, and 0·667; p < 0·05). SHAP value indicate that the importance of predictive features for NOAF, in descending order, include: Brain natriuretic peptide, Left ventricular end-diastolic diameter, Ejection fraction, BMI, β-receptor blockers, Duration of surgery, Age, Neutrophil percentage-to-albumin ratio, Myocardial infarction, Left atrial diameter, Hypertension, and smoking status. Subsequently, we constructed an easy-to-use bedside clinical tool for NOAF risk assessment leveraging these characteristics.InterpretationThe AI-based tool offers superior prediction of NOAF, outperforming three existing predictive tools. Future studies should further explore how various patient characteristics influence the timing of NOAF onset, whether early or late.FundingThis work was funded by Lingnan Nightingale Nursing Research Institute of Guangdong Province, and Guangdong Nursing Society (GDHLYJYZ202401).

Dataset Information

Relationship between preoperative FT3 levels and new-onset atrial fibrillation after off-pump coronary artery bypass grafting.

Background

Methods

Results

Conclusions

Publications

Relationship between preoperative FT3 levels and new-onset atrial fibrillation after off-pump coronary artery bypass grafting.

Similar Datasets

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