|
|
||||||||
Eur J Cardiothorac Surg 2004;26:621-627
© 2004 Elsevier Science NL
a Heart Center, Department of Cardiac Surgery, Tampere University Hospital, 33521, Tampere, Finland
b Rehabilitation Foundation, Helsinki, Finland
c Department of Psychology, University of Helsinki, Helsinki, Finland
d School of Public Health, University of Tampere, Tampere, Finland
Received 8 January 2004; received in revised form 22 April 2004; accepted 5 May 2004.
* Corresponding author. Tel.: +358-3-346-4348; fax: +358-3-247-5756
e-mail: otsojarvinen{at}koti.soon.fi
| Abstract |
|---|
|
|
|---|
Key Words: CABG Perioperative myocardial infarction Quality of life
| 1. Introduction |
|---|
|
|
|---|
The main purpose of this follow-up study was to assess the impact of PMI on health-related QOL (RAND-36) following CABG. Furthermore, 1-year symptomatic status and hospital readmissions were evaluated and risk factors for PMI determined.
| 2. Materials and methods |
|---|
|
|
|---|
2.1. Definition of perioperative myocardial infarction (PMI)
The criteria of PMI included significant new electrocardiographic (ECG) Q waves in at least two adjacent leads (greater than 0.04 s in duration with a depth of at least one third of the height of the R wave in the same QRS complex) or creatine phosphokinase isoenzyme MB (CK-MB) >75 IU/l in one of three serial postoperative samples. A cardiologist reviewed 12-lead electrocardiograms routinely on the day before surgery, 4 h postoperatively, on the first 2 postoperative mornings, on the fourth postoperative day, and at other times if clinically indicated, and they were reviewed by a cardiologist. Myocardial enzymes were measured postoperatively at 6 and 18 h (or more frequently if clinically indicated). PMI was defined as infarction occurring within 7 days after surgery.
2.2. Data collection
During the primary hospital stay a comprehensive pre-, peri- and postoperative medical data body was collected. Most patients were discharged on the sixth day (median) after the operation to the local district hospital. The data from these secondary discharge hospitals were collected by the referring physicians and sent to the first author (O.J.) for analysis. All outcome events, including thirty-day mortality and complications, were recorded for joint analysis with the primary hospital data. Major postoperative complications included stroke, mediastinitis, sepsis, low output syndrome, prolonged ventilatory support (>36 h), acute renal failure requiring dialysis, pulmonary embolism and severe cardiac failure or severe ventricular arrhythmia requiring an intensive care unit (ICU) or coronary care unit (CCU) stay in the primary or secondary referral hospital. Atrial fibrillation was recorded as a minor complication.
2.3. Assessment of health-related quality of life
All assessments were made preoperatively and repeated 12 months later. The baseline self-report questionnaire was given to the patients the day before surgery. The follow-up questionnaire covering the same measures was mailed to the participants one year after the by-pass operation. Sixteen (3.2%) had died during this period. Four hundred and fifty-eight (94.4%) of the 485 surviving patients returned the follow-up questionnaire, the mean time of follow-up being 12.6 (SD 1.2) months. Compared with the 458 patients who completed the form, those 27 patients who did not were younger (median age 54 vs 63 years, P=0.006). However, there were no significant differences in the majority of variables, including sex, Euroscore risk sum, priority of operation or NYHA class.
We used the Finnish adaptation of the RAND-36 generic health-related QOL scale, for which reference values are available for the Finnish population [8]. The RAND-36 is a widely used and validated scale which yields scores for eight dimensions of health-related QOL: (1) general health, (2) physical functioning, (3) role functioning/physical, (4) bodily pain, (5) emotional well-being, (6) role functioning/emotional, (7) social functioning, and (8) energy [9,10]. The scores for each domain range from 0 to 100, 0 being the poorest and 100 the best possible health status. To reduce the number of outcome variables two summary scores can also be used: the Physical Component Summary (PCS) corresponds to the mean value of the physical sub-scales (14) while the Mental Component Summary (MCS) equals the mean value of psychic sub-scales (58) [1113]. The RAND-36 first item for general health can also be used separately [9].
Pre- and postoperative functional capacity was ranked according to the New York Heart Association (NYHA) classification. Statistics Finland provided causes and dates of death after discharge.
2.4. Statistical analysis
Patient and outcome variables are expressed mainly as a percentage of the total. Categorical variables between the PMI and no-PMI groups were compared using Pearson's
2 test. Continuous variables were compared by independent samples t-test for variables with normal distributions and MannWhitney test for variables with non-normal distributions. Predictors exhibiting a statistically significant relationship with PMI in univariate analyses were taken for multivariate logistic regression analysis to investigate their independency as predictors. Baseline and follow-up variables were compared using paired-samples t-test and analysis of variance for repeated measures with age as a covariate. Intergroup differences were analyzed by independent samples t-tests. P values of 0.05 or less were considered statistically significant. Statistical analyses were performed using SPSS 9.0 for Windows.
| 3. Results |
|---|
|
|
|---|
Eighty patients (16%) were diagnosed as having PMI. The distribution of postoperative peak CK-MB values among patients with Q-wave and non-Q-wave PMI is shown in Fig. 1 . Preoperative patient characteristics and intraoperative data for PMI and no-PMI groups are shown in Table 1. Patients in the PMI group were an average 3.7 years' older (P=0.001), presented more often with a history of stroke (P=0.018), had more frequently suffered rest angina in the preceding week (P=0.034), and their Euroscore risk score mean was higher by one point (P<0.001). PMI and no-PMI groups were closely similar in terms of other preoperative characteristics. PMI patients were less likely to be diabetics, smokers, overweight or with chronic obstructive pulmonary disease. The number of distal anastomoses did not differ significantly between the groups, but PMI patients received sequential anastomoses more frequently (P=0.029). When compared to the initial preoperative coronary angiogram, main target vessel revascularization was achieved in 91.3% of PMI and 95.3% of no-PMI cases. The use of combined antegrade and retrograde cardioplegia vs antegrade cardioplegia alone did not differ significantly between the PMI (81 vs 19%) and no-PMI (77 vs 23%) groups. PMI patients had an average 16 min longer CPB time (P<0.001) and 11 min longer aortic cross-clamp time (P<0.001). When all the factors associated (P<0.05) with an increased incidence of PMI in a univariate analysis (Table 1, high age; high Euroscore risk score; unstable angina; history of stroke; use of sequential anastomosis technique; long aortic cross-clamp time; long CPB duration) were taken for multivariate logistic regression analysis, only long CPB time (OR 3.02 95% CI 1.386.60, P=0.006) and advanced age (OR 1.03 95% CI 1.001.07, P=0.049) proved to be independent predictors for PMI.
|
|
6) and diabetes were not. During the later follow-up period up to 12 months, only one additional death occurred in the PMI group (1.3%) as against six (1.4%) in the no-PMI group. The total 1 year mortality rates were 7.5% for PMI and 2.4% for no-PMI (P=0.017) groups, respectively. Fifty-seven per cent of the deaths in the PMI group and 50% in the no-PMI group were directly attributable to cardiac-related factors. There was a slight and in most instances non-significant tendency to more adverse events among the PMI patients, as shown in Table 2. Supported ventilation time (median 15.9 vs 14.1 h, P<0.003) and the median length of ICU stay (2.0 vs 1.0 days, P<0.001) were significantly longer in the case of PMI patients. The occurrence of stroke, on the other hand, was lower in these patients. In general, a great majority of both PMI patients (86%) and those without PMI (92.6%) had a favorable outcome without other major complications (P=0.059).
|
|
|
|
| 4. Discussion |
|---|
|
|
|---|
Our main interest was focused on the clinical significance of PMI and its impact on subsequent health-related QOL. However, this called for evaluating first the possible differences in patient characteristics and early postoperative adverse events between PMI and no-PMI patients. Although preoperative and intraoperative predictors of PMI in our data were many, most of these variables lost their significance in multivariate analysis. Long CPB time proved to be a relatively powerful independent predictor of PMI, whereas the effect of advanced age was less markedly associated with PMI. The influence of CPB time on outcome may reflect both problems encountered during revascularization and the time-related influence of CPB on the human body.
PMI was an independent predictor of 30-day mortality but showed no effect on subsequent mortality. This is in line with the earlier findings of groups under Brasch [6] and Chaitman [22], who showed no effect of new perioperative Q waves on long-term survival. PMI patients needed longer ventilatory support and longer ICU stay, but in other respects PMI was not significantly associated with early adverse events.
A variety of health measurement tools have been developed over the last decade for the purpose of quantifying and differentiating between different health states. We chose the Finnish version of the RAND-36 Health Survey questionnaire, as this has been carefully adapted to Finnish populations and yields population-based reference values derived from studies made of randomly selected Finns [8]. The selection was based on the Finnish Population Register and the sample consisted of 2060 persons aged 1879 years, and the results were weighted against the age and gender distribution in the general Finnish population. The generic health-related QOL measure has also previously been used to evaluate health status in general population surveys, to determine the effectiveness of medical treatments in patients with angina [23], and also more recently to evaluate the impact of mitral valve [24] and CABG surgery [25] on patients' QOL.
Importantly, the RAND-36 baseline scores were well comparable between the PMI and no-PMI groups. One year after CABG, patients in the PMI group showed a significant improvement in six of the eight dimensions of health-related QOL (i.e. all except general health and emotional well-being). All the patients in the no-PMI group, on the other hand, showed highly significant (P<0.001) improvement in all eight parameters. Furthermore, one third of the PMI patients had a negative change in their general health scores at follow up and multivariate logistic regression analysis revealed PMI to be (the only) independent predictor of lower score. A tendency toward less marked improvement among PMI patients was also seen in the psycho-social (MCS) and especially in the physical (PCS) components of the QOL, as this group showed a significantly lower magnitude of change in their PCS scores. Patients in the PMI group were a mean 3.7 years older, and our previous studies suggest that higher age predicts adverse outcome in general and also less marked improvement in health-related QOL following the CABG operation [4,25]. The possible confounding role of age was therefore investigated using repeated measures analysis of variance with age as a covariate, but the results showed no age by change interaction for PCS and MCS scores, indicating a less steep improvement for the PMI patients. No obvious explanation for this finding is to hand. We found only one previous study including a QOL analysis of patients sustaining PMI after cardiac surgery [7]. The study in question, however, included only 42 PMI patients, and the authors used an unvalidated QOL instrument with no baseline values for comparison with postoperative findings. They found no differences in 24 months postoperative QOL between those who suffered PMI and those who did not.
Freedom from anginal symptoms at one year was closely similar in both groups Incomplete revascularization, if involved, may reflect in recurrent ischaemia and pain, but the two groups in our study achieved almost equal main target vessel revascularization. NYHA class is based on patient interview and was also reported by the patients in our study; however, we were not able to confirm that symptoms experienced were attributable solely to myocardial ischemia.
The prevalence of hospital readmissions in the postdischarge period after cardiac operations has not been extensively studied, possibly because readmissions are difficult to track in that most of them take place in other hospitals. However, rehospitalization rates after surgical procedures can be used as an indicator of quality of care, since they affect QOL, and they also have financial implications. In our study, readmissions for cardiac-related reasons during the first postoperative year were more than twice as common among PMI patients as compared with those not suffering PMI after CABG. PMI patients also undervent invasive cardiac reprocedures more often, although the absolute numbers were small in both groups and no statistical handling of this is possible.
This is the first time that a comprehensive, properly validated QOL instrument has been used to evaluate the impact of PMI on subsequent health-related QOL following CABG. All assessments were made preoperatively and repeated 12 months later. The rate of response to our follow-up questionnaire was good (94.4% of the survivors), and except for younger age, no other differences were found between the non-responders and responders in preoperative clinical characteristics such as sex, Euroscore risk sum, priority of operation or NYHA class. All the relevant medical and clinical variables were carefully recorded for common analysis with QOL data, and our data also included events in the secondary referral hospitals, which is important, since only 2.4% of the patients were discharged directly home.
This study had several obvious limitations. First, there were a large number of patients who refused or were unable to complete the baseline survey prior to CABG and were thus excluded from this psycho-social and medical follow-up. Excluded patients were five years older and were more often acutely ill and were in many instances operated urgently or as emergency cases. This selection limits the interpretation of our results. Second, our institution lacked routine troponin measurement in the determination of PMI at the beginning of the study period. An increased concentration of CK-MB alone is a sensitive but not very specific criterion. The requirement of the presence of pathologic Q waves to indicate myocardial infarction increases specificity but has a lower sensitivity. In addition, we also lacked data on postoperative left ventricular ejection fraction because echocardiography was used only when clinically indicated. Finally, a 1-year follow-up is not more than a mid-term period in evaluating outcomes and stability of QOL after CABG, but we intend a further follow-up of these patients.
To conclude, our results suggest that PMI is an important clinical event which has a negative impact on health-related quality of life following CABG. PMI increases 30-day mortality but, interestingly enough, is not significantly associated with other early adverse events and shows no effect on later mortality. Both intraoperative factors and preoperative characteristics (such as prolonged CPB time and advanced age) influence the risk of PMI after CABG.
| References |
|---|
|
|
|---|
gedal B., Nylander E., Olin C., Rutberg H. Are electrocardiographic Q-wave criteria reliable for diagnosis of perioperative myocardial infarction after coronary surgery?. Eur J Cardiothorac Surg 1998;13:655-661.[CrossRef][Medline]
This article has been cited by other articles:
![]() |
V. A. Mannacio, D. Iorio, V. De Amicis, F. Di Lello, and F. Musumeci Effect of rosuvastatin pretreatment on myocardial damage after coronary surgery: a randomized trial. J. Thorac. Cardiovasc. Surg., December 1, 2008; 136(6): 1541 - 1548. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. J. Durham and J. P. Gold Late Complications of Cardiac Surgery Card. Surg. Adult, January 1, 2008; 3(2008): 535 - 548. [Full Text] |
||||
![]() |
C. M. Dyke, L. K. Jennings, G. Maier, C. Andreou, R. Daly, and M. R. Tamberella III Preoperative Platelet Inhibition With Eptifibatide During Coronary Artery Bypass Grafting With Cardiopulmonary Bypass Journal of Cardiovascular Pharmacology and Therapeutics, March 1, 2007; 12(1): 54 - 60. [Abstract] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| ANN THORAC SURG | ASIAN CARDIOVASC THORAC ANN | EUR J CARDIOTHORAC SURG |
| J THORAC CARDIOVASC SURG | ICVTS | ALL CTSNet JOURNALS |