Copyright
©The Author(s) 2022.
World J Clin Cases. Feb 26, 2022; 10(6): 1775-1786
Published online Feb 26, 2022. doi: 10.12998/wjcc.v10.i6.1775
Published online Feb 26, 2022. doi: 10.12998/wjcc.v10.i6.1775
Table 1 Baseline demographic, clinical characteristics and angiographic characteristics of the study population (mean ± SD)
Variable | Tertile I < 10.2 μmol/L, n = 3430 | Tertile II 10.2-14.4 μmol/L, n = 3405 | Tertile III > 14.4 μmol/L, n = 3401 | P value (All) | Tertile I vs Tertile II | Tertile I vs Tertile III | Tertile II vs Tertile III |
Age (years) | 66.9 ± 10.4 | 66.3 ± 10.3 | 65.6 ± 10.0 | < 0.001 | 0.020 | < 0.001 | 0.006 |
Female, n (%) | 1232 (36.0) | 1017 (29.9) | 676 (19.9) | < 0.001 | < 0.001 | < 0.001 | < 0.001 |
BMI (kg/m2) | 24.6 ± 4.9 | 24.9 ± 11.2 | 24.9 ± 10.1 | 0.314 | 0.063 | 0.091 | 0.651 |
Current smoking, n (%) | 774 (22.6) | 731 (21.5) | 735 (21.6) | 0.491 | 0.401 | 0.288 | 0.821 |
Diabetes, n (%) | 1015 (29.6) | 848 (24.9) | 782 (23.0) | < 0.001 | < 0.001 | < 0.001 | 0.028 |
Hypertension, n (%) | 2413 (70.4) | 2327 (68.3) | 2276 (66.9) | 0.008 | 0.021 | < 0.001 | 0.122 |
Hyperlipidemia, n (%) | 532 (15.5) | 557 (16.4) | 522 (15.3) | 0.470 | 0.449 | 0.726 | 0.266 |
Prior stroke, n (%) | 353 (10.3) | 300 (8.8) | 253 (7.4) | < 0.001 | 0.037 | < 0.001 | 0.110 |
eGFR < 60 (mL/min/1.73 m2), n (%) | 488 (14.2) | 345 (10.1) | 269 (7.9) | < 0.001 | < 0.001 | < 0.001 | < 0.001 |
LVEF (%) | 66.8 ± 8.0 | 67.2 ± 7.8 | 67.0 ± 9.0 | 0.096 | 0.031 | 0.575 | 0.008 |
Prior MI, n (%) | 395 (11.5) | 360 (10.6) | 399 (11.7) | 0.271 | 0.054 | 0.861 | 0.071 |
Prior PCI, n (%) | 876 (25.5) | 800 (23.5) | 806 (23.7) | 0.094 | 0.052 | 0.056 | 0.978 |
Unstable angina, n (%) | 1850 (54.0) | 1740 (51.1) | 1708 (50.3) | 0.006 | 0.002 | < 0.001 | 0.528 |
Perioperative medications, n (%) | |||||||
ACEI/ARB | 1979 (57.7) | 1916 (56.3) | 1825 (53.7) | 0.003 | 0.613 | < 0.001 | 0.021 |
Beta-blocker | 1746 (50.9) | 1746 (51.3) | 1691 (49.7) | 0.407 | 0.835 | 0.129 | 0.082 |
Calcium-channel blocker | 1270 (37.0) | 190 (34.9) | 1114 (32.8) | 0.001 | 0.004 | < 0.001 | 0.034 |
LDL-C (mmol/L) | 2.05 ± 0.88 | 2.09 ± 0.86 | 2.04 ± 0.86 | 0.053 | 0.117 | 0.843 | 0.076 |
Lesions in vessels, n (%) | |||||||
Left main | 197 (5.7) | 186 (5.5) | 180 (5.3) | 0.711 | 0.613 | 0.578 | 0.959 |
Left anterior descending | 1828 (53.3) | 1848 (54.3) | 1837 (54.0) | 0.702 | 0.187 | 0.321 | 0.926 |
Left circumflex | 579 (16.9) | 524 (15.4) | 578 (17.0) | 0.136 | 0.068 | 0.902 | 0.051 |
Right coronary artery | 983 (28.7) | 994 (29.2) | 955 (28.1) | 0.597 | 0.960 | 0.196 | 0.184 |
AHA/ACC classification | 1228 (35.8) | 1256 (36.8) | 1356 (39.9) | 0.002 | 0.487 | < 0.001 | 0.006 |
Calcification, n (%) | 406 (11.8) | 391 (11.5) | 390 (11.5) | 0.864 | 0.204 | 0.485 | 0.567 |
FFR/IVUS/OCT, n (%) | 357 (10.4) | 372 (10.9) | 402 (11.8) | 0.170 | 0.496 | 0.050 | 0.210 |
Number of implanted stents, median (IQR) | 1 (1-2) | 1 (1-2) | 1 (1-2) | < 0.001 | 0.005 | 0.005 | 0.133 |
Mean stent size > 2.5 mm, n (%) | 3107 (90.6) | 3077 (90.4) | 3056 (89.9) | 0.606 | 0.755 | 0.282 | 0.464 |
Balloon pre-dilation, n (%) | 3031 (88.4) | 2970 (87.2) | 2921 (85.9) | 0.009 | 0.039 | 0.001 | 0.183 |
Balloon post-dilation, n (%) | 3175 (92.6) | 3145 (92.4) | 3156 (92.8) | 0.793 | 0.999 | 0.828 | 0.827 |
Table 2 Factors affecting perioperative myocardial infarction in univariate and multivariate analysis
Variable | Univariate model | Multivariate model | ||
OR (95%CI) | P value | OR (95%CI) | P value | |
Age > 65 yr | 1.428 (1.268, 1.607) | < 0.001 | 1.272 (1.110, 1.457) | 0.001 |
Female | 1.225 (1.084, 1.384) | 0.001 | 1.200 (1.034, 1.393) | 0.017 |
BMI | 0.983 (0.966, 1.000) | 0.052 | ||
Current smoking | 0.832 (0.721, 0.959) | 0.011 | 0.943 (0.797, 1.117) | 0.499 |
Diabetes | 1.134 (0.999, 1.287) | 0.052 | ||
Hypertension | 1.271 (1.120, 1.443) | < 0.001 | 1.054 (0.901, 1.233) | 0.509 |
Prior stroke | 1.181 (0.976, 1.428) | 0.087 | ||
Prior MI | 1.309 (1.108, 1.547) | 0.002 | 1.200 (0.991, 1.454) | 0.062 |
eGFR < 60 (mL/min/1.73 m2) | 1.645 (1.400, 1.933) | < 0.001 | 1.369 (1.135, 1.651) | 0.001 |
LVEF | 0.975 (0.968, 0.982) | < 0.001 | 0.980 (0.972, 0.988) | < 0.001 |
Unstable angina | 1.116 (0.996, 1.250) | 0.059 | ||
Perioperative medications | ||||
ACEI/ARB | 1.243 (1.107, 1.395) | < 0.001 | 1.112 (0.965, 1.281) | 0.144 |
Beta-blocker | 0.992 (0.886, 1.112) | 0.896 | ||
Calcium-channel blocker | 1.067 (0.948, 1.201) | 0.280 | ||
LDL-C > 1.8 mmol/L | 0.930 (0.808, 1.070) | 0.311 | ||
AHA/ACC classification B2/C | 1.167 (1.040, 1.311) | 0.009 | 1.363 (1.192, 1.558) | < 0.001 |
Calcification | 1.767 (1.514, 2.063) | < 0.001 | 1.303 (1.091, 1.556) | 0.004 |
FFR/IVUS/OCT | 1.391 (1.178, 1.642) | < 0.001 | 1.275 (1.056, 1.539) | 0.011 |
Number of implanted stents | 1.868 (1.741, 2.006) | < 0.001 | 1.882 (1.738, 2.038) | < 0.001 |
Mean stent size > 2.5 mm | 1.117 (0.917, 1.362) | 0.272 | ||
Balloon pre-dilation | 1.116 (0.937, 1.330) | 0.217 | ||
Balloon post-dilation | 1.330 (0.926, 1.912) | 0.123 | ||
Total bilirubin | ||||
Tertile I | 1 (ref) | 1 (ref) | ||
Tertile II | 0.800 (0.698, 0.918) | 0.001 | 0.854 (0.739, 0.987) | 0.032 |
Tertile III | 0.786 (0.685, 0.902) | 0.001 | 0.846 (0.735, 0.975) | 0.021 |
Table 3 Cox proportional hazard regression model: incidence of major adverse cardiac events
Variable | Univariate model | Multivariate model | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
Age > 65 yr | 1.199 (1.080, 1.332) | 0.001 | 1.123 (1.001, 1.260) | 0.048 |
Male | 1.213 (0.921, 1.598) | 0.170 | ||
BMI | 1.005 (0.969, 1.042) | 0.782 | ||
Current smoking | 0.982 (0.733, 1.316) | 0.905 | ||
Diabetes | 1.135 (1.098, 1.173) | < 0.001 | 1.119 (1.079, 1.161) | < 0.001 |
Hypertension | 1.122 (0.848, 1.484) | 0.420 | ||
eGFR < 60 (mL/min/1.73 m2) | 1.291 (0.936, 1.780) | 0.120 | ||
LVEF | 0.996 (0.984, 1.008) | 0.540 | ||
Unstable angina | 1.284 (1.003, 1.644) | 0.048 | 1.381 (1.071, 1.781) | 0.013 |
LDL-C > 1.8 mmol/L | 1.160 (1.650, 1.264) | 0.001 | 1.094 (0.996, 1.201) | 0.060 |
Perioperative medications | ||||
ACEI/ARB | 1.077 (0.825, 1.405) | 0.586 | ||
Beta-blocker | 1.044 (0.810, 1.345) | 0.739 | ||
Calcium-channel blocker | 1.197 (0.872, 1.644) | 0.266 | ||
AHA/ACC classification B2/C | 0.848 (0.638, 1.128) | 0.258 | ||
Calcification | 1.197 (0.872, 1.644) | 0.266 | ||
Number of stents implanted | 1.186 (1.031, 1.365) | 0.017 | 1.171 (1.012, 1.354) | 0.034 |
Total bilirubin | ||||
Tertile I | 1 (ref) | 1 (ref) | ||
Tertile II | 0.801 (0.604, 1.063) | 0.125 | 0.837 (0.627, 1.119) | 0.229 |
Tertile III | 0.640 (0.469, 0.875) | 0.005 | 0.667 (0.485, 0.918) | 0.013 |
Table 4 Association between serum total bilirubin and clinical outcomes
Events | Tertile I | Tertile II | Tertile III |
Composite MACE1 | |||
Number events/participants | 118 (23.2) | 81 (19.6) | 59 (15.3) |
Adjust HR and 95%CI | 1.0 (ref) | 0.837 (0.627, 1.119) | 0.667 (0.485, 0.918)a |
Cardiac death | |||
Number events/participants | 27 (5.3) | 13 (3.1) | 13 (3.4) |
Adjust HR and 95%CI | 1.0 (ref) | 0.546 (0.28, 1.065) | 0.588 (0.295, 1.171) |
Non-fatal myocardial infarction | |||
Number events/participants | 13 (2.6) | 11 (2.7) | 7 (1.8) |
Adjust HR and 95%CI | 1.0 (ref) | 1.113 (0.487, 2.547) | 0.736 (0.286, 1.898) |
Non-fatal stroke | |||
Number events/participants | 2 (0.4) | 2(0.5) | 2 (0.5) |
Adjust HR and 95%CI | 1.0 (ref) | 1.534 (0.213, 11.067) | 1.888 (0.251, 14.211) |
Revascularization2 | |||
Number events/participants | 84 (16.5) | 59 (14.3) | 39 (10.1) |
Adjust HR and 95%CI | 1.0 (ref) | 0.814 (0.608, 1.089) | 0.633 (0.458, 0.875)a |
- Citation: Li Y, Li DB, Zhao LD, Lv QB, Wang Y, Ren YF, Zhang WB. Effects of bilirubin on perioperative myocardial infarction and its long-term prognosis in patients undergoing percutaneous coronary intervention. World J Clin Cases 2022; 10(6): 1775-1786
- URL: https://www.wjgnet.com/2307-8960/full/v10/i6/1775.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i6.1775