Baseline/title> <meta name="description" content="Baseline characteristics" /> </head> <body> <table width="289" class="table"> <tr> <td><table border="1" cellspacing="0" cellpadding="0" width="656" class="table"> <tr> <td width="206" align="center"><strong> </strong></td> <td width="122" align="center">Total (n=830)</td> <td width="124" align="center">AF free (n=757)</td> <td width="129" align="center">Incident AF (n=73)</td> <td width="74" align="center">P-value</td> </tr> <tr> <td width="206" align="center"><strong>Age (years) </strong></td> <td width="122" align="center">62.1 (SD 11.6)</td> <td width="124" align="center">61.5 (SD 11.5)</td> <td width="129" align="center">68.4 (SD 10.9)</td> <td width="74" align="center"><0.001</td> </tr> <tr> <td width="206" align="center"><strong>Male gender</strong></td> <td width="122" align="center">631/830 (76.0%)</td> <td width="124" align="center">580/757 (76.6%)</td> <td width="129" align="center">51/73 (69.9%)</td> <td width="74" align="center">0.197</td> </tr> <tr> <td width="206" align="center"><strong>BMI (kg/m<sup>2</sup>) </strong></td> <td width="122" align="center">26.9 (SD 3.7)</td> <td width="124" align="center">26.9 (SD 3.7) </td> <td width="129" align="center">26.4 (SD 3.5)</td> <td width="74" align="center">0.126</td> </tr> <tr> <td width="206" align="center"><strong>Current smoker </strong></td> <td width="122" align="center">402/827 (48.6%)</td> <td width="124" align="center">375/755 (49.7%) </td> <td width="129" align="center">27/72 (37.5%)</td> <td width="74" align="center">0.048</td> </tr> <tr> <td width="206" align="center"><strong>Diabetes </strong></td> <td width="122" align="center">89/829 (10.2%)</td> <td width="124" align="center">77/756 (10.2%)</td> <td width="129" align="center">12/73 (16.4%)</td> <td width="74" align="center">0.099</td> </tr> <tr> <td width="206" align="center"><strong>Hypertension </strong></td> <td width="122" align="center">276/830 (33.3%)</td> <td width="124" align="center">251/757 (33.2%)</td> <td width="129" align="center">25/73 (34.2%)</td> <td width="74" align="center">0.850</td> </tr> <tr> <td width="206" align="center"><strong>Hypercholesterolaemia </strong></td> <td width="122" align="center">214/829 (25.8%)</td> <td width="124" align="center">195/756 (25.8%)</td> <td width="129" align="center">19/73 (26.0%)</td> <td width="74" align="center">0.965</td> </tr> <tr> <td width="206" align="center"><strong>Killip Class >1</strong></td> <td width="122" align="center">96/821 (11.7%)</td> <td width="124" align="center">78/749 (10.4%)</td> <td width="129" align="center">18/72 (25.0%)</td> <td width="74" align="center"><0.001</td> </tr> <tr> <td width="206" align="center"><strong>Previous MI </strong></td> <td width="122" align="center">68/828 (8.2%)</td> <td width="124" align="center">62/755 (8.2%)</td> <td width="129" align="center">6/73 (8.2%)</td> <td width="74" align="center">0.998</td> </tr> <tr> <td width="206" align="center"><strong>Previous PCI </strong></td> <td width="122" align="center">68/830 (8.2%)</td> <td width="124" align="center">65/757 (8.3%)</td> <td width="129" align="center">5/73 (6.8%)</td> <td width="74" align="center">0.661</td> </tr> <tr> <td width="206" align="center"><strong>Previous CABG </strong></td> <td width="122" align="center">12/830 (1.4%)</td> <td width="124" align="center">11/757 (1.5%)</td> <td width="129" align="center">1/73 (1.4%)</td> <td width="74" align="center">>0.99*</td> </tr> <tr> <td width="206" align="center"><strong>Previous stroke</strong></td> <td width="122" align="center">15/830 (1.8%)</td> <td width="124" align="center">151/757 (2.0%)</td> <td width="129" align="center">0/73 (0%)</td> <td width="74" align="center">0.634*</td> </tr> <tr> <td width="206" align="center"><strong>Systolic BP (mm Hg) </strong></td> <td width="122" align="center">130.9 (SD 24.1)</td> <td width="124" align="center">131.3 (SD 23.8)</td> <td width="129" align="center">126.2 (SD 24.6)</td> <td width="74" align="center">0.143</td> </tr> <tr> <td width="206" align="center"><strong>Diastolic BP (mm Hg) </strong></td> <td width="122" align="center">76.6 (SD 15.0)</td> <td width="124" align="center">76.8 (SD 14.8)</td> <td width="129" align="center">74.3 (SD 16.1)</td> <td width="74" align="center">0.306</td> </tr> <tr> <td width="206" align="center"><strong>Tirofiban study medication</strong></td> <td width="122" align="center">406/830 (48.9%)</td> <td width="124" align="center">369/757 (48.7%)</td> <td width="129" align="center">37/73 (50.7%)</td> <td width="74" align="center">0.752</td> </tr> <tr> <td width="206" align="center"><strong>Culprit Vessl</strong></td> <td width="122" align="center"> </td> <td width="124" align="center"> </td> <td width="129" align="center"> </td> <td width="74" align="center">0.997</td> </tr> <tr> <td width="161" align="center"><strong>Culprit Vessel RCA</strong></td> <td width="122" align="center">390/821 (47.5%)</td> <td width="124" align="center">355/748 (47.5%)</td> <td width="129" align="center">35/73 (47.9%)</td> <td width="74" align="center"> </td> </tr> <tr> <td width="161" align="center"><strong>Culprit Vessel LAD</strong></td> <td width="122" align="center">340/821 (41.4%)</td> <td width="124" align="center">310/748 (41.4%)</td> <td width="129" align="center">30/73 (41.1%)</td> <td width="74" align="center"> </td> </tr> <tr> <td width="161" align="center"><strong>Culprit Vessel LCx</strong></td> <td width="122" align="center">91/821 (11.1%)</td> <td width="124" align="center">83/748 (11.1%)</td> <td width="129" align="center">8/73 (11.0%)</td> <td width="74" align="center"> </td> </tr> <tr> <td width="206" align="center"><strong>TIMI grade flow post PCI <3</strong></td> <td width="122" align="center">74/823 (9.0%)</td> <td width="124" align="center">62/750 (8.3%)</td> <td width="129" align="center">12/73 (16.4%)</td> <td width="74" align="center">0.020</td> </tr> <tr> <td width="206" align="center"><strong>NT-proBNP baseline (pg/ml)</strong></td> <td width="122" align="center">589 (SD 1896) </td> <td width="124" align="center">517 (SD 1490)</td> <td width="129" align="center">1339 (SD 4178) </td> <td width="74" align="center"><0.001</td> </tr> <tr> <td width="206" align="center"><strong>HScTnT (pg/ml)</strong></td> <td width="122" align="center">0.380 (SD 1.27)</td> <td width="124" align="center">0.358 (SD 1.12)</td> <td width="129" align="center">0.610 (SD 2.32) </td> <td width="74" align="center">0.008</td> </tr> <tr> <td width="206" align="center"><strong>Peak CK-MB (U/l)</strong></td> <td width="122" align="center">216 (SD 197)</td> <td width="124" align="center">207 (SD 189)</td> <td width="129" align="center">303 (SD 245)</td> <td width="74" align="center">0.001</td> </tr> </table></td> </tr> <tr> <td>Data are presented as mean with their SD between parentheses or fraction with percentages where appropriate. AF: Atrial Fibrillation; BMI: Body Mass Index; MI: Myocardial Infarction; PCI: Percutaneous Coronary Intervention; CABG: Coronary Artery Bypass Grafting; BP: Blood Pressure; RCA: Right Coronary Artery; LAD: Left Anterior Descending Artery; LCx: Left Circumflex Artery; TIMI: Thrombolysis in Myocardial Infarction; TIMI: Thrombolysis in Myocardial Infarction; NT-proBNP: N-terminal pro Brain Natriuretic Peptide; HScTnT: High Sensitive Cardiac Troponin T; CK-MB; Creatine Kinase, MB Isoenzyme. P-value between AF free and incident AF patient groups.</td> </tr> <tr> <td><strong>Table 1: </strong>Baseline characteristics.</td> </tr> </table>  <script type="text/javascript"> _atrk_opts = { atrk_acct:"AQs4j1a4ZP00a6", domain:"omicsonline.org",dynamic: true}; (function() { var as = document.createElement('script'); as.type = 'text/javascript'; as.async = true; as.src = "https://d31qbv1cthcecs.cloudfront.net/atrk.js"; var s = document.getElementsByTagName('script')[0];s.parentNode.insertBefore(as, s); })(); </script> <noscript> <img src="https://d5nxst8fruw4z.cloudfront.net/atrk.gif?account=AQs4j1a4ZP00a6" style="display:none" height="1" width="1" alt="" /> </noscript>  <script> (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) })(window,document,'script','//www.google-analytics.com/analytics.js','ga'); ga('create', 'UA-29271993-2', 'omicsonline.org'); ga('send', 'pageview'); </script> </body> </html>