| Literature DB >> 30451948 |
Qian Ding1,2, Hong Liu3, Zugui Zhang4, Jordan Goldhammer5, Eric Yuen6, Zhongmin Li7, Linong Yao8, Nilas Young9, Douglas Boyd9, William Weintraub4, Rohinton Morris10, Jianzhong Sun11.
Abstract
This study aimed to examine association between perioperative uses of aspirin and long-term survival in patients undergoing CABG. A retrospective cohort study was performed in 9,584 consecutive patients receiving cardiac surgery from three tertiary hospitals. Of all the patients, 4,132 patients undergoing CABG met inclusion criteria and were divided into four groups: with or without preoperative or postoperative aspirin respectively. 30-day postoperative and long-term mortality were compared with the use of propensity scores and inverse probability weighting adjustment to reduce the treatment-selection bias. The patients taking preoperative aspirin presented significantly more with comorbidities. However, the results of this study showed that preoperative aspirin (vs. no preoperative aspirin) was associated with significantly reduced the risk of 30-day mortality in the patients undergoing CABG. Further, the results of long-term mortality showed that the patients taking preoperative aspirin and postoperative aspirin (vs. not taking) were associated with significantly reduced the risk of 4-year mortality (14.8% vs. 18.1%, RR: 0.82, 95% CI: 0.75-0.89, P = 0.005; 10.7% vs. 16.2%, RR: 0.66, 95% CI: 0.50-0.82, P = 0.003). In conclusion, this cohort study showed that perioperative (before and after surgery) use of aspirin was associated with significant reduction in 30-day mortality without significant bleeding complications, also improved long-term survival in patients undergoing CABG.Entities:
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Year: 2018 PMID: 30451948 PMCID: PMC6242822 DOI: 10.1038/s41598-018-35208-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Study population recruitment summary. ADP, adenosine diphosphate; CABG, Coronary Artery Bypass Grafting.
Demographic and Clinical Characteristics of Patients (PreASA).
| Characteristic | Unadjusted Data | P Value | Adjusted Data (IPW) | P Value | ||
|---|---|---|---|---|---|---|
| PreASA (N = 3161) | no-PreASA (N = 971) | PreASA (N = 3161) | no-PreASA (N = 971) | |||
| Age, mean (SD), y | 66.3 (10.8) | 64.1 (13.6) | <0.001 | 66.0 (12.6) | 66.8 (25.1) | 0.072 |
| Male sex, % | 79.0 | 70.1 | <0.001 | 49.1 | 49.7 | 0.595 |
| BMI, mean (SD), kg/m2 | 29.1 (6.0) | 28.8 (6.0) | 0.143 | 29.1 (6.9) | 29.3 (12.7) | 0.188 |
| Diabetes, % | 39.0 | 29.4 | <0.001 | 37.1 | 40.5 | 0.001 |
| Smoker, % | 42.1 | 38.1 | 0.026 | 41.7 | 44.1 | 0.031 |
| Hypertension, % | 84.2 | 70.7 | <0.001 | 81.5 | 83.2 | 0.042 |
| Cerebrovascular disease, % | 15.3 | 15.0 | 0.816 | 15.4 | 17.4 | 0.016 |
| Peripheral vascular disease, % | 14.4 | 10.9 | 0.005 | 13.9 | 15.6 | 0.033 |
| Chronic lung disease, % | 20.5 | 18.9 | 0.252 | 20.1 | 20.8 | 0.438 |
| Family history CAD, % | 47.5 | 33.6 | <0.001 | 44.2 | 46.4 | 0.046 |
| Creatinine, mean (SD), mg/dl | 1.2 (1.1) | 1.3 (1.3) | 0.132 | 1.3 (1.3) | 1.3 (2.3) | 0.826 |
| Angina, % | 46.6 | 30.3 | <0.001 | 42.9 | 42.4 | 0.630 |
| Congestive heart failure, % | 22.3 | 32.5 | <0.001 | 24.9 | 24.3 | 0.460 |
| Previous MI, % | 37.9 | 26.9 | <0.001 | 35.3 | 35.9 | 0.570 |
| Beta blockers, % | 77.0 | 50.0 | <0.001 | 70.7 | 71.5 | 0.427 |
| ACE inhibitors or ARB, % | 42.8 | 33.1 | <0.001 | 41.1 | 42.2 | 0.311 |
| Lipid lowering, % | 65.3 | 44.4 | <0.001 | 60.5 | 61.5 | 0.361 |
| Urgent status, % | 54.3 | 44.6 | <0.001 | 51.9 | 49.8 | 0.061 |
| Initial ICU Hours | 92.4 (127.5) | 104.9 (137.0) | 0.01 | 94.5 (151.6) | 99.2 (257.9) | 0.240 |
| CABG, % | 83.8 | 71.3 | <0.001 | 80.5 | 79.7 | 0.353 |
| CABG and Valve, % | 16.2 | 28.7 | <0.001 | 19.5 | 20.3 | 0.353 |
| Cardiopulmonary Bypass Time (SD), min | 118.5 (73.8) | 143.4 (92.6) | <0.001 | 124.6 (91.9) | 123.7 (171.8) | 0.781 |
| Cross Clamp Time (SD), min | 85.8 (55.2) | 100.2 (66.4) | <0.001 | 89.2 (66.1) | 89.0 (128.2) | 0.934 |
BMI, body mass index, is the weight in kilograms divided by the square of the height in meters; MI, myocardial infarction; CAD, coronary artery disease; ACE, angiotensin-converting enzyme; ARB, Angiotensin Receptor Blockers; CABG, Coronary Artery Bypass Grafting; SD, standard deviation.
Figure 2Propensity Scores for Preoperative Aspirin in Patients undergoing Coronary Artery Bypass Grafting (CABG) Surgery. The propensity score for Preoperative Aspirin is the probability given baseline variables that any patient in either group would take aspirin before cardiac surgery.
Figure 3Rates of Survival in patients with preoperative aspirin (PreASA) or no-preoperative aspirin (no-PreASA). (A) From an un-adjusted Analysis. (B) From an analysis adjusted with the use of Inverse Probability Weighting (IPW). The inset shows the same data on an enlarged y axis. (C) Cumulative mortality with and without preoperative aspirin, and the relative risk of PreASA as compared with no-PreASA are shown.
Figure 4Rates of survival in patients with postoperative aspirin (PostASA) or no-postoperative aspirin (no-PostASA). (A) From an un-adjusted Analysis. (B) From an analysis adjusted with the use of Inverse Probability Weighting (IPW). The inset shows the same data on an enlarged y axis. (C) Cumulative mortality with and without postoperative aspirin, and the relative risk of PostASA as compared with no-PostASA are shown.
Figure 5The average adjusted hazard ratio and effect of unmeasured confounding. The impact of unmeasured confounding factors on the hazard ratio has been one of the crucial uncertainties. Figure 5 shows the impact of a single confounder on the benefits of preoperative aspirin over without preoperative aspirin detected in the IPW adjusted analysis. If a single unmeasured confound could increase the long-term risk of mortality by a factor or about 1.7 or if the long-term mortality rate was two to six times as high among the preoperative aspirin patients as in the non-preoperative aspirin patients, it could generate the observed survival differences. As we can see that if a potential confounder was present in 40% of the non-preoperative aspirin patients (red curved line) and in 60% of pre-operative aspirin (X-axis), and if it increased the mortality rate by a factor of about 1.7 (hazard ratio, 1.81), the confounder alone could constitute the observed difference in mortality between preoperative aspirin and non-preoperative aspirin patients.