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Published on: February 28, 2012
Relationship between body mass index and clinical events in patients with atrial fibrillation undergoing percutaneous
Tatsuro Yamazaki1, Hideki Kitahara1, Daichi Yamashita1
1Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.
Insights
Lower body mass index (BMI) in patients with atrial fibrillation (AF) undergoing percutaneous coronary intervention (PCI) is linked to higher risks of adverse cardiovascular and bleeding events. This finding highlights BMI as a key predictor for patient outcomes.
Area of Science:
- Cardiology
- Clinical Research
- Obesity Medicine
Background:
- The impact of body mass index (BMI) on clinical outcomes in patients with atrial fibrillation (AF) undergoing percutaneous coronary intervention (PCI) while on oral anticoagulants (OAC) and antiplatelet therapy remains unclear.
- This study investigates the association between BMI and adverse events in this specific patient population.
Purpose of the Study:
- To evaluate the relationship between BMI and clinical events, specifically net adverse clinical events (NACE) and major bleeding, in patients with AF who underwent PCI for coronary artery disease (CAD).
Main Methods:
- A multicenter, observational cohort study involving 720 patients from 15 institutions in Japan.
- Patients were stratified into two groups based on BMI: Group 1 (BMI <21.3 kg/m2) and Group 2 (BMI ≥21.3 kg/m2).
- The primary endpoint was NACE, a composite of major adverse cardiovascular events (MACE) and major bleeding events within one year post-PCI.
Main Results:
- Patients with lower BMI (Group 1) exhibited significantly higher rates of NACE (21.1% vs. 11.9%) and MACE (17.2% vs. 8.9%) compared to Group 2.
- No significant difference in major bleeding events was observed between the two groups (5.6% vs. 4.3%).
- Lower BMI (<21.3 kg/m2) was identified as an independent predictor for increased NACE and MACE in multivariable analyses, but not for major bleeding.
Conclusions:
- In patients with AF undergoing PCI for CAD and requiring OAC, BMI is a valuable indicator for predicting major adverse clinical events.
- A lower BMI (<21.3 kg/m2) is associated with an increased risk of adverse cardiovascular events, independent of bleeding risk.
Background:
It is still unclear whether body mass index (BMI) affects bleeding and cardiovascular events in patients requiring oral anticoagulants (OAC) for atrial fibrillation (AF) and antiplatelet agents after percutaneous coronary intervention (PCI) for coronary artery disease (CAD). The aim of this study was to evaluate the relationship between BMI and clinical events in patients who underwent PCI under OAC therapy for AF.
Method:
This was a multicenter, observational cohort study conducted at 15 institutions in Japan. AF patients who underwent PCI with drug-eluting stents for CAD were retrospectively and prospectively included. Patients were divided into the Group 1 (BMI <21.3 kg/m2) and the Group 2 (BMI ≥21.3 kg/m2) according to the first-quartile value of BMI. The primary endpoint was net adverse clinical events (NACE), a composite of major adverse cardiovascular events (MACE) and major bleeding events within one year after index PCI procedure.
Results:
In the 720 patients, 180 patients (25.0%) had BMI value <21.3 kg/m2. While the rates of NACE and MACE were significantly higher in the Group 1 than the counterpart (21.1% vs. 11.9%, p = 0.003 and 17.2% vs. 8.9%, p = 0.004), that of major bleeding did not differ significantly between the 2 groups (5.6% vs. 4.3%, p = 0.54). The cumulative rate of NACE and MACE was significantly higher in the Group 1 than the Group 2 (both log-rank p = 0.002), although that of major bleeding events was equivalent between the 2 groups (log-rank p = 0.41). In multivariable Cox regression analyses, while BMI value <21.3 kg/m2 was not associated with major bleeding events, that cut-off value was an independent predictor for increased NACE and MACE.
Conclusions:
Among the patients undergoing PCI for CAD and requiring OAC for AF, BMI value was a useful indicator to predict major adverse clinical events.
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