Literature DB >> 26336419

Isolated coronary artery bypass grafting in extracorporeal circulation in patients over 65 years old - does age still matter?

Dawid Miśkowiec1, Andrzej Walczak2, Stanisław Ostrowski2, Ewa Wrona1, Karol Bartczak2, Ryszard Jaszewski2.   

Abstract

INTRODUCTION: Coronary artery bypass grafting (CABG) is conducted more and more commonly in patients in advanced age. AIM OF THE STUDY: To analyze the influence of age and concurrent risk factors on the complications and early mortality after CABG.
MATERIAL AND METHODS: Medical records of 2194 patients were analyzed retrospectively. A group of 1303 patients who had undergone isolated CABG was selected. 106 (4.8%) patients were excluded due to missing data in their medical records. The remaining 1197 patients were divided into two subgroups by age: 1(st) group < 65 years (n = 662; 55.3%); 2(nd) group ≥ 65 years (n = 535; 44.7%).
RESULTS: The total 30-day mortality was 3.93% and was six times higher in the older group (1.21 vs. 7.29%; p < 0.001). Complications were observed in 176 (14.70%) patients, more often in the older group (10.42% vs. 20.0%; p < 0.001). In this group all kinds of complications were noted more often and in particular: postoperative myocardial infarction (1.96% vs. 5.42%; p = 0.001), respiratory dysfunction (1.36% vs. 4.11%; p = 0.005), neurological complications (1.81% vs. 3.74%; p = 0.04) and multi-organ dysfunction syndrome (0.30% vs. 1.68%, p = 0.03). The older patients required longer time under mechanical ventilation (24.0 ± 27.9 vs. 37.0 ± 74.1 hours; p = 0.004) and stayed longer in the intensive care unit: 2.5 ± 3.0 vs. 4.1 ± 7.84 days; p < 0.001. Independent predictors of death were: female sex [OR (95% CI) = 2.4 (1.2-4.5)], age ≥ 65 years [OR = 4.9 (2.1-11.1)], eGFR < 60 mL/min/1.73 m(2) [OR = 2.2 (1.0-4.7)], time at extracorporeal circulation > 72 minutes [OR = 5.5 (2.7-10.9)] and left main stem stenosis (> 50%) [OR = 2.4 (1.3-4.6)].
CONCLUSIONS: Age still significantly influences postoperative complications and mortality after isolated CABG.

Entities:  

Keywords:  age; coronary artery bypass grafting

Year:  2014        PMID: 26336419      PMCID: PMC4283853          DOI: 10.5114/kitp.2014.43849

Source DB:  PubMed          Journal:  Kardiochir Torakochirurgia Pol        ISSN: 1731-5530


Introduction

Coronary artery bypass grafting (CABG) was performed for the first time in the 1960s. It soon became a standard approach in the treatment of ischemic heart disease (IHD), especially in patients with multivessel disease [1]. It significantly prolonged lifespan in patients above the age of 65 [2]. Recently we have been observing dynamic changes in the population of patients who have undergone cardiac surgery. Patients in advanced age with several comorbidities [3] are more and more often treated surgically, whereas until recently such patients had not been qualified for surgery due to a high risk of death. These mentioned changes were possible thanks to medical procedures which are constantly being improved and considerable development of techniques of looking after high-risk patients. The phenomenon of ageing is becoming one of the biggest challenges that medicine needs to resolve. According to the Central Statistical Office (CSO), by the year 2020, the number of people in advanced age will have risen by almost 20%, which amounts to 2.5 million more people in this group [4]. Currently, every ninth person in the world is above the age 60. According to the United Nations (UN), this age population is going to increase by another 200 million people and will exceed 1 billion in 10 years. By 2050 the number will have doubled to 2 billion and will represent 22% of the world population (in 2006 – 11%). In the light of other prognoses made by the WHO, which predicts that by 2020 the number of deaths due to IHD will have increased to 11.1 million (an increase by 40% in comparison to 2008), the discussed problem is becoming even more serious [5]. Cardiac surgery is one of many disciplines that will have to face up to these dynamic changes in the population age structure.

Aim of the study

The aim of the study was to analyze the influence of age and concurrent risk factors on the type and frequency of complications as well as 30-day mortality after CABG. The authors made an attempt to identify different risk factors of death and complications and compared their distribution. The analysis was made for particular age groups.

Material and methods

Studied group

2194 patients operated on between 5 January 2009 and 25 March 2011 in the Department of Cardiac Surgery were analyzed retrospectively. A group of 1303 (59.4%) patients who had undergone CABG under extracorporeal circulation (ECC) was selected. 106 (4.8%) patients were excluded from the study due to missing data in their medical records. The remaining 1197 patients were divided into two groups. The division criteria was the age cut-off at 65 years old. The adopted age threshold was established by the WHO and implied the beginning of the advanced age populations of developed countries [6]. The first group included patients younger than 65 years (n = 662; 55.3%) and the other group consisted of patients aged 65 years or older (n = 535; 44.7%). Figure 1 presents the study design.
Fig. 1

Study design

Study design

Surgical procedure

Patients underwent median sternotomy. The procedure was conducted in normothermia in ECC. Cold crystalloid cardioplegia was administered after aorta cross-clamping (according to the St. Thomas’ Hospital formula). In order to achieve activated clotting time (ACT) of 480 s, 300 IU/kg of heparin was administered. Its activity was neutralized by protamine sulfate in 1 mg per 100 IU dose of heparin at the end of the procedure.

Analyzed variables

All the conducted analyses were based on the following data set of pre- and intraoperative variables: age, gender, body mass index (BMI), body surface area (BSA), estimated glomerular filtration rate (eGFR), prior percutaneous coronary intervention (PCI), severity of angina according to the Canadian Cardiovascular Society (CCS) Angina Grading Scale, heart failure symptoms according to the New York Heart Association (NYHA) Functional Classification, smoking, diabetes mellitus (DM), arterial hypertension (HA), hyperlipidemia, asthma, chronic obturative pulmonary disease (COPD), arrhythmias, peripheral vascular disease, cerebral vascular disease, prior cardiac surgery, left main stem (LMS) stenosis > 50%, number of coronary arteries with stenosis > 50%, number of distal coronary anastomoses, use of internal thoracic artery (ITA) as a graft, pulmonary hypertension, ejection fraction (EF), intra-aortic balloon pump (IABP) use, cardiogenic shock, logistic EuroSCORE, procedure duration, aortic cross-clamp time, time of ECC, time of mechanical ventilation, and time of stay in the intensive care unit (ICU). We analyzed the occurrence of the following complications within 30-day follow-up: reoperation (reopening of the thorax or re-suturing of the sternum from any cause during the same hospitalization), postoperative myocardial infarction (elevation of cardiac biomarker values 10 times over the 99th percentile URL in patients with normal baseline cTn values; either new pathological Q waves or new left bundle branch block (LBBB), or angiographic documented new graft or new native coronary artery occlusion, or imaging evidence of new loss of viable myocardium or new regional wall motion abnormality), neurological complications (stroke, depression of consciousness or confusion if associated with signs of cerebral injury on CT scan or focal neurological deficit and transient ischemic attacks with focal neurological deficit; patients with suspected neurological injury were examined by a neurologist and by CT scan; cognitive dysfunction was not assessed), respiratory complications (postoperative pneumonia defined as a positive result in a sputum culture requiring anti-infective treatment, or chest X-ray diagnosis of pneumonia and/or postoperative respiratory failure defined as the duration of mechanical ventilation more than 48 hours or re-intubation following cardiac surgery), haematological (cardiac tamponade and/or bleeding), or multiple organ dysfunction syndrome (derangement involving two or more organ systems).

Data management

Pre-, intra- and postoperative variables were collected retrospectively thanks to the standardized form of the National Register of Cardiac Surgery including detailed preoperative data, information about conducted procedures and postoperative period [7]. Clinical data were prospectively collected by heading surgeons, which allowed complete data records for each patient to be obtained.

Statistical analysis

In the case of categorical variables the authors gave a number of observations with feature variant (n) and the corresponding percentage (%). In the case of continuous variables the authors gave means together with standard deviations (for normal distribution) or medians with quartiles (in the event of lack of normal distribution). Differences between the groups for continuous variables in normal distribution were analyzed with the Student t-test for independent groups; other variables were analyzed with the non-parametric Mann-Whitney U test. The χ2 and Yates’ χ2 tests (with correction for continuity) were used for the analysis of categorical variables. Differences with p < 0.05 were considered statistically significant. For continuous variables with significant differences, receiver-operating characteristic (ROC) curve analysis was conducted in order to determine optimal cut-offs with the highest possible specificity and sensitivity. The multinomial logistic regression was conducted for death as the end point. Variables with p < 0.1 were included in further stepwise backward model analysis. Odds ratio (OR) and 95% confidence intervals (95% CI) were computed for all end point predictors. The analyses were conducted with MedCalc version 12.2.1.0 and Statistica version 10.0.

Results

Of 2194 patients operated on in the Department of Cardiac Surgery, a group of 1303 patients (59.4%) underwent CABG. Mean age in the analyzed population was 63.9 ± 8.7 years (range 34-88) and the majority were men (n = 907; 75.77%). Moreover, younger men were also in the majority (84.0% vs. 65.6%, p < 0.001). Diabetes mellitus was diagnosed more often in older patients (31.9% vs. 40.6%, p = 0.002), who were treated mainly with oral administration of antihyperglycemic agents (38.0% vs. 51.2%, p < 0.001). In both the groups smokers (active and ex-smokers) made up the majority and the difference in the percentage of smokers in both the groups was statistically significant (84.9% vs. 65.1%, p < 0.001). A higher difference was observed in active smokers in those two age groups (19.49% vs. 3.36%, p < 0.001). In younger patients concomitant hypercholesterolemia was more often observed than in older ones (92.5% vs. 88.8%, p = 0.03). Table I presents detailed characteristics of preoperative variables between particular age groups. A significantly higher percentage of the older age group was characterized with NYHA class III or IV. The two age groups did not differ with regards to severity of angina symptoms.
Tab. I

Preoperative variables

Preoperative variableGroup 1 (n = 662, 55.3%)Group 2 (n = 535, 44.7%) p
Men, n (%)556 (83.99%)351 (65.61%)< 0.001
BMI (kg/m2)28.1 (25.7-30.8)27.8 (25.3-30.4)NS
BSA (m2)1.83 (1.72-1.96)1.78 (1.66-1.87)< 0.001
EF (%)52 (45-60)52 (55-59)NS
eGFR, median (mL × min-1 × 1.73 m-2)104.36 (87.78-125.76)73.31 (61.25-88.59)< 0.001
eGFR, range (mL × min-1 × 1.73 m-2)
 > 90473 (75.20%)148 (29.02%)< 0.001
 60-90138 (21.94%)263 (51.57%)< 0.001
 30-6013 (2.07%)93 (18.24%)< 0.001
 < 305 (0.79%)6 (1.18%)NS
Diabetes mellitus, n (%)211 (31.87%)217 (40.56%)0.002
Asthma, n (%)10 (1.51%)11 (2.06%)NS
COPD, n (%)39 (3.26%)37 (3.09%)NS
HA, n (%)575 (86.86%)478 (89.35%)NS
Hypercholesterolemia, n (%)612 (92.45%)475 (88.79%)0.029
Smokers, n (%)562 (84.89%)348 (65.05%)< 0.001
Vascular diseases, n (%)
 Total50 (7.55%)65 (12.15%)0.007
 Peripheral24 (3.63%)23 (4.30%)NS
 Cerebral27 (4.08%)45 (8.41%)0.002
Arrhythmias, n (%)
 Total14 (2.11%)31 (5.79%)< 0.001
 AF8 (1.21%)16 (2.99%)0.048
Previous interventions, n (%)
 PCI200 (30.21%)107 (20.00%)< 0.001
 CABG2 (0.30%)1 (0.19%)NS

BMI – body mass index, BSA –body surface area, EF – ejection fraction, eGFR – estimated glomerular filtration rate, COPD – chronic obstructive pulmonary disease, HA – arterial hypertension, AF – atrial fibrillation, NS – non-significant

Preoperative variables BMI – body mass index, BSA –body surface area, EF – ejection fraction, eGFR – estimated glomerular filtration rate, COPDchronic obstructive pulmonary disease, HA – arterial hypertension, AFatrial fibrillation, NS – non-significant Having compared the morphology of coronary arteries evaluated on the basis of data obtained from coronary catheterization, no significant difference was observed between those groups. Table II presents detailed characteristics of changes in the morphology of coronary arteries.
Tab. II

Coronary artery characteristics according to age groups

TotalGroup 1 (n = 662, 55.3%)Group 2 (n = 535, 44.7%) p
Left main stem stenosis > 50%, n (%)303 (25.31%)157 (23.72%)146 (27.29%)NS
Single vessel disease, n (%)29 (2.45%)18 (2.74%)11 (2.08%)NS
Double vessel disease, n (%)172 (14.53%)101 (15.40%)71 (13.45%)NS
Triple vessel disease, n (%)970 (81.93%)527 (80.34%)443 (83.90%)NS
Coronary artery characteristics according to age groups In the older group of patients the authors observed a significantly longer period of time under mechanical ventilation (18.6 [13.2-23.3] hours vs. 21.0 [14.3-25.3] hours, p = 0.004) and higher average time of stay in the ICU (2.5 ± 3.0 days vs. 4.2 ± 7.8 days, p < 0.001). Characteristics of intraoperative and postoperative variables are presented in Table III.
Tab. III

Intraoperative and postoperative variables

TotalGroup 1 (n = 662, 55.3%)Group 2 (n = 535, 44.7%) p
ECC time, min71.27 ± 26.1568.93 ± 26.0071.32 ± 26.140.056
Aortic cross-clamp time, min37.55 ± 16.9134.79 ± 14.9637.50 ± 16.830.005
Procedure duration, min186.03 ± 52.69183.46 ± 53.18186.72 ± 51.81NS
Elective procedure, n (%)1161 (97.00%)642 (96.98%)519 (97.01%)NS
ITA grafting, n (%)1108 (92.56%)631 (95.32%)477 (89.16%)< 0.001
Number of distal bypass grafts, n (%)
 124 (2.01%)11 (1.66%)13 (2.43%)NS
 2293 (24.48%)160 (24.17%)133 (24.86%)NS
 3879 (73.43%)491 (74.17%)389 (72.71%)NS
Mechanical ventilation time, hours30.14 ± 55.1323.99 ± 27.9237.02 ± 74.100.004
ICU stay, days3.23 ± 5.752.49 ± 3.004.15 ± 7.84< 0.001
IABP, n (%)
 preoperative1 (0.08%)1 (0.15%)0 (0.00%)NS
 intraoperative19 (1.59%)10 (1.51%)9 (1.68%)NS
 postoperative12 (1.00%)4 (0.60%)8 (1.50%)NS

ECC – extracorporeal circulation, ITA – internal thoracic artery, ICU – intensive care unit, IABP – intra-aortic balloon pump

Intraoperative and postoperative variables ECC – extracorporeal circulation, ITA – internal thoracic artery, ICU – intensive care unit, IABP – intra-aortic balloon pump Complications appeared in 176 patients (14.7%); they were noted almost twice as often in the older age group than in the younger group (10.42% vs. 20.0%; p < 0.001). Also in this age group all kinds of complication were more often observed. The complications included in particular: myocardial infarction in the early postoperative period (1.96% vs. 5.42%, p = 0.001), respiratory failure (1.36% vs. 4.11%, p = 0.005), neurological complications (1.81% vs. 3.74%, p = 0.04) and multiple organ dysfunction (0.30% vs. 1.68%, p = 0.03). Frequencies of those particular kinds of complications in both the groups are presented in Table IV.
Tab. IV

Complication type according to age group and odds ratio (OR) with 95% confidential intervals (95% CI) of complications in the older age patient group

ComplicationTotalGroup 1 (n = 662, 55.3%)Group 2 (n = 535, 44.7%) p OR (95% CI)
Reoperation, n (%)86 (7.18%)40 (6.04%)46 (8.60%)0.091.46 (0.94-2.27)
Postoperative myocardial infarction, n (%)42 (3.51%)13 (1.96%)29 (5.42%)0.0012.86 (1.47-5.56)
Neurological, n (%)32 (2.67%)12 (1.81%)20 (3.74%)0.042.10 (1.02-4.34)
Respiratory, n (%)31 (2.59%)9 (1.36%)22 (4.11%)0.0053.11 (1.42-6.82)
Hematological (tamponade and/or bleeding), n (%)20 (1.67%)7 (1.06%)13 (2.43%)0.102.33 (0.92-5.88)
Multiple organ dysfunction syndrome, n (%)11 (0.92%)2 (0.30%)9 (1.68%)0.035.65 (1.21-26.25)
Infections, n (%)6 (0.50%)3 (0.45%)3 (0.56%)0.881.24 (0.25-6.16)
Gastro-intestinal, n (%)2 (0.17%)0 (0.00%)2 (0.37%)0.39
Total, n (%)176 (14.70%)69 (10.42%)107 (20.00%)< 0.0012.15 (1.55-2.98)
Complication type according to age group and odds ratio (OR) with 95% confidential intervals (95% CI) of complications in the older age patient group During the 30-day observation, a total of 47 patients died. Of that number 39 patients belonged to the older age group. The total 30-day mortality was 3.93% and it was six times higher in the older age group (1.21% vs. 7.29%, p < 0.001). Cardiac dysfunction was the main cause of death (n = 41; 87.3% of all deaths). To identify predictors of death in the whole population, a multinomial logistic regression model with stepwise backward approach was applied. For independent continuous variables such as age, operation time, aortic cross-clamp time and time of ECC, ROC curves with death as the dependent variable were applied. ROC curves are presented in Figure 2.
Fig. 2

ROC curves for death as a dependent variable

ROC curves for death as a dependent variable A continuous variables colinearity analysis was conducted. Due to the fact that the previously mentioned variables were highly correlated with each other, the authors chose only age and time of ECC for the purpose of further analysis (lack of correlation and highest area under curve – AUC) AUC (95% CI) values: AUCage = 0.722 (0.643-0.801), AUCtime of ECC = 0.713 (0.686-0.739). The variable with significance value p < 0.1 obtained in univariate analysis met inclusion criteria for the multinomial logistic regression model. Table V presents characteristics of patients depending on the 30-day mortality.
Tab. V

Patients’ characteristics depending on the 30-day mortality

VariableDeath within 30 days after CABG
Yes (n = 47, 3.93%)No (n = 1150, 96.07%) p
Age, years72 (68-77)63 (58-70)< 0.001
Men, n (%)25 (53.19%)882 (76.70%)< 0.001
BMI (kg/m2)28.02 (25.28-31.07)28.03 (25.40-30.61)NS
BSA (m2)1.76 (1.66-1.89)1.88 (1.74-2.01)0.001
EF (%)52 (45-58)53 (45-60)NS
eGFR, median (mL × min-1 × 1.73 m-2)76.57 (56.79-94.82)94.22 (75.13-116.67)< 0.001
Diabetes mellitus, n (%)22 (46.81%)406 (35.30%)NS
Asthma, n (%)3 (6.38%)18 (1.57%)0.058
COPD, n (%)5 (10.64%)71 (6.17%)NS
HA, n (%)46 (97.87%)1007 (87.57%)0.057
Hypercholesterolemia, n (%)44 (93.62%)1043 (90.70%)NS
Smokers, n (%)25 (53.19%)885 (76.96%)< 0.001
Unstable angina, n (%)5 (10.64%)30 (2.61%)0.006
Vascular diseases
 Total3 (6.38%)112 (9.74)NS
 Peripheral0 (0.00%)47 (4.09%)NS
 Cerebral3 (6.38%)69 (6.00%)NS
AF, n (%)0 (0.00%)24 (2.09%)NS
Previous interventions
 PCI, n (%)10 (21.28%)297 (25.83%)NS
 CABG, n (%)0 (0.00%)3 (0.26%)NS
Left main stenosis > 50%, n (%)21 (44.68%)282 (24.52%)0.002
Triple vessel disease, n (%)37 (78.72%)933 (82.06%)NS
ECC time, min89 (72-108)65 (51-81)< 0.001
Aortic cross-clamp time, min43 (31-61)33 (24-44)0.001
Procedure duration, min215 (180-255)180 (150-210)< 0.001
EuroSCORE (logistic), %4.6 (2.5-6.8)3.0 (1.6-5.7)< 0.001
Elective procedure, n (%)42 (91.30%)1119 (97.39%)0.05
ITA grafting, n (%)41 (87.23%)1067 (92.78%)NS
Mechanical ventilation time, hours27.13 (13.3-122.75)19.00 (13.67-23.67)0.024
ICU stay, days2 (1-4)2 (1-3)NS
IABP, n (%)12 (25.53%)18 (1.57%)< 0.001
Postoperative dialysis, n (%)4 (8.51%)2 (0.17%)< 0.001
Any complication, n (%)41 (87.23%)136 (11.83%)< 0.001

BMI – body mass index, BSA – body surface area, EF – ejection fraction, eGFR – estimated glomerular filtration rate, COPD – chronic obstructive pulmonary disease, HA – arterial hypertension, AF – atrial fibrillation, ECC – extracorporeal circulation, ITA – internal thoracic artery, ICU – intensive care unit, IABP – intra-aortic balloon pump, NS – non-significant

Patients’ characteristics depending on the 30-day mortality BMI – body mass index, BSA – body surface area, EF – ejection fraction, eGFR – estimated glomerular filtration rate, COPDchronic obstructive pulmonary disease, HA – arterial hypertension, AFatrial fibrillation, ECC – extracorporeal circulation, ITA – internal thoracic artery, ICU – intensive care unit, IABP – intra-aortic balloon pump, NS – non-significant Independent risk factors for death were found to be: gender, age ≥ 65 years, time of ECC longer than 72 minutes, LMS stenosis (> 50%) and eGFR < 60 mL × min-1 × 1.73 m-2. Multinomial logistic regression results for death in the 30-day period after surgery are presented in Table VI.
Tab. VI

Death predictors identified with multinomial logistic regression

FactorsOR (95% CI)
Female2.35 (1.22-4.55)
Age ≥ 65-year-old4.85 (2.13-11.05)
eGFR < 60 mL × min-1 × 1.73 m-2 2.17 (1.01-4.65)
LMS stenosis > 50%2.41 (1.25-4.64)
Time of ECC ≥ 72 min5.46 (2.73-10.92)
Included variables (p < 0,1) into multinomial model: sex, cigarettes smoking, arterial hypertension, asthma, non-elective surgery, unstable angina, LMS stenosis > 50%, eGFR < 60 mL × min-1 × 1.73 m-2, time of ECC ≥ 72 minutes, age ≥ 65-year-old, kidney failureHosmer Lemeshow test = 7.17, p = 0.41; AUC = 0.87 (0.82-0.91); R2 Nagelkerk test = 0.26

OR – odds ratio, AUC –area under curve, eGFR – estimated glomerular filtration ratio, HA – arterial hypertension, ECC – extracorporeal circulation, LMS – left main stem

Death predictors identified with multinomial logistic regression OR – odds ratio, AUC –area under curve, eGFR – estimated glomerular filtration ratio, HA – arterial hypertension, ECC – extracorporeal circulation, LMS – left main stem

Discussion

CABG, as the most common procedure applied in cardiac surgery, currently well illustrates the fact that the population of cardiac surgery patients is rapidly getting old. ElBardissi et al. [3] performed an analysis of the Society of Thoracic Surgeons data containing 2.5 million procedures collected from 1073 clinics around the world in 2000-2009. The gathered information shows that approximately 2/3 (60.5%) of all procedures conducted at that time were CABG. In the Department of Cardiac Surgery of the Medical University of Lodz, CABG was also the most frequent procedure (54.4% of all procedures in the years 2009-2011) and on average, patients who underwent this surgery were older and older (the mean age was: 2009 – 63.4 years; 2010 – 64.2 years; 2011 – 64.8 years) and the trend is expected to continue in the future. According to ElBardissi et al. the percentage of patients with HA has increased, in a period of ten years, from 70.9% to 85.0%. A similar observation was made with regards to patients with DM (from 33.4% to 40.4%), hyperlipidaemia (from 60.4% to 83.8%) and COPD (from 16.9% to 22.7%) [3]. What seems to be obvious is a direct relationship between the mentioned changes and the increasing mean age of surgical patients. Being female is a commonly known independent risk factor [8, 9]. After making a systematic review, Kim et al. concluded that mean age of women who underwent CABG is significantly higher than the age of men, which was also observed in our study. The percentage of women was more than twice as high as the percentage of males. Moreover, it should be emphasized that women demonstrate far more comorbidities [9], especially DM, which has a more negative influence on them rather than on men and which contributes to a worse prognosis in the female sex. Technically, CABG is more difficult to perform in women due to a smaller body size and a smaller diameter of arteries [8]. Furthermore, the use of ITA as a bypass graft [10] is less frequently performed in females. In the conducted multinomial logistic regression analysis female gender appeared to be an independent risk factor of death in the 30-day postoperative period. In the older age group of patients the authors observed a significantly lower BSA, regardless of sex. Habib et al. reported that patients with low BSA (BSA < 1.7 m2) require re-operations more frequently due to bleeding and numerous transfusions. Perioperative mortality in this group of patients is almost twice as high in comparison with others, which is thought to be connected with higher hemodilution volume during ECC, more frequent transfusions and more complications in this group of patients [11]. DM increases the risk of CABG [12]. As it was revealed in Zhang's meta-analysis, the relative risk (RR) of death in the group of patients with DM in contrast to the healthy group is significantly higher both in the 30 days after the procedure (RR = 1.64; 95% CI = 1.39-1.93) and in a 10-year observation period (RR = 1.55; 95% CI = 1.43-1.68) [13]. DM patients have more often highly advanced IHD and require multi-artery bypass grafting [12]; hence it is more difficult to provide complete full revascularization in this group of patients [14]. They are at a greater risk of stroke in the perioperative period, as well as infective complications, which are particularly hazardous in older patients [13]. In our study, there was a significantly higher percentage of DM patients in the older age group than in the younger group. The effectiveness of pharmacological control of glycemia seems to be highly visible in these patients. In the older age group monotherapy with oral antihyperglycemic agents (OAA) was more frequently administered, which could indirectly suggest a mild diabetic manifestation in these patients. According to Woods et al., patients with DM treated with OAA and who underwent CABG were less likely to have perioperative complications (neurological, renal, prolonged wound healing) than patients treated with insulin infusions [15]. According to recent guidelines, creatinine level should not be the only criterion for the assessment of kidney function. Many other factors including gender, age, BSA and muscular mass should also be considered [12]. Estimated glomerular filtration rate (eGFR) is an advisable tool to assess renal function in patients before CABG. It was confirmed that in the case of eGFR lower than 60 mL × min-1 × 1.73 m-2, the occurrence of severe cardiovascular events increases. In our study almost every fifth patient had eGFR < 60 mL × min-1 × 1.73 m-2. According to Yeo et al., who studied 37,000 cases of CABG, consecutive stages of chronic kidney disease are characterized by a higher mortality rate in patients after elective surgery [16]. The authors found in this study that eGFR < 60 mL × min-1 × 1.73 m-2 was an independent predictor of adverse outcomes, even when the age impact was adjusted and was associated with over 2-fold higher risk of death within 30 days [RR = 2.17 (1.01-4.65)]. The almost 20% higher rate of smokers (previous or active) and more frequent hypercholesterolemia in the younger group of patients seem to be, in the opinion of the authors, the reasons for the earlier atherosclerosis onset. COPD and asthma are commonly known risk factors of death in patients after CABG [17]. The authors observed a significantly lower percentage of concomitant COPD than was reported previously in the literature [3]. COPD was equally frequent in both age groups. Moreover, in contrast to other authors, no significant differences were observed in presence of asthma between younger and older patients in our study. The lack of differences in occurrence of respiratory diseases seems to be at least partly explained by the higher rate of smokers (previous and active) among younger patients, which probably accelerated the disease onset (COPD). Concomitant preoperative atrial fibrillation (AF) is associated with a higher risk of death and a worse long-term prognosis after CABG [12, 18]. The risk of late mortality according to Nagaage is 40% higher in patients with preoperative AF than in those with sinus rhythm [18]. In our research any type of cardiac rhythm disturbance was observed approximately three times more frequently in the older age group, which implies a much more elevated risk in these patients. We should point out the large number of cases where PCI was previously conducted, especially in the younger group of patients (30.2%). Despite the fact that triple vessel disease and LMS changes were observed equally often, PCI was conducted almost in every third patient. In total, 25.6% of patients underwent PCI before CABG. When we compare this number with the findings of another study conducted on 34,000 patients in the United States and published in 2012 (PCI rate – 22.0% in 2008), we will conclude that invasive cardiology has been intensively developing in recent years, including in Poland [19]. Although in our study the history of PCI was not identified as an independent risk factor, other authors have reported an adverse influence of prior PCI on outcomes in patients who finally underwent CABG [19, 20]. In comparison with the results obtained by ElBardissis et al. [3], where 8.1% of the patients had IABP performed, in our study IABP was used less frequently. These data together with a 97% rate of elective procedures imply a stable condition of patients qualified for CABG. One of the critical conclusions of this study is a noticeably higher percentage of patients in the younger group, in whom the internal thoracic artery (ITA) was used for bypass grafting. Numerous studies have confirmed that long-term benefits of CABG can be enhanced by bypass grafting with use of arteries especially the ITA, which is particularly beneficial as it provides longer graft patency [21]. According to the recent European Society of Cardiology (ESC) guidelines on myocardial revascularization, arterial grafting to the LAD system is highly recommended (IA) [12]. Before taking a decision on the use of the ITA the surgeons had to consider the risk in each case individually. The risk was connected with the opening of the pleural cavity. The predicted shorter life expectancy and a greater number of complications, especially in older patients, prevented surgeons from using the ITA. Rare ITA grafting in the older age group could be indirectly explained by lower BSA that correlates with lower ITA diameter and entails greater technical difficulties in CABG performance [22]. In addition, a higher percentage of women in the older age group was observed, where ITA was also used rarely [10]. Left main stem stenosis is a relatively common phenomenon that is present in up to 30% of patients currently undergoing CABG (LMS stenosis > 50% present in this study in 25% of patients). According to the European Society of Cardiology (ESC) CABG is still regarded as the standard of care for significant LMS disease and should be performed in every case without contraindications to the surgery [12]. Nevertheless, surveys of real-word practice have reported that approximately every third patient with LMS disease is treated by PCI [23]. In the face of the fact that up to 80% of these patients also have multivessel coronary artery disease and simultaneous bifurcation disease [12], it is a very alarming observation. The presence of LMS stenosis has been widely considered as a strong predictor of poorer prognosis after CABG [23]. That finding is in accordance with our research results, where LMS stenosis > 50% was found to be an independent predictor of worse outcomes. Similar analyses in patients over 65 years old who underwent CABG in our Cardiac Surgery Clinic were conducted by Walczak et al. [24] and Chiżyński et al. [25]. When we compare the mortality rate observed in this study (7.3%) with the mortality observed in previous years by the mentioned authors, i.e. 12.7% (2002) and 8.5% (2003) respectively, we observe a systematic decrease in the oldest age group (> 65) during the last decade [24, 25].

Conclusions

Patients aged 65 years or older are characterized by significantly higher mortality, are more prone to perioperative complications and need to stay longer in the ICU; in general, the prognosis in this group of patients is poorer. Independent 30-day mortality predictors in patients after CABG were: being female, age ≥ 65 years, prolonged ECC ≥ 72 minutes, LMS stenosis and impaired renal function (eGFR < 60 mL × min-1 × 1.73 m-2). Detailed risk factor analysis is important to properly identify and select high-risk patients. It will allow prophylactic strategies to be introduced and help to avoid numerous adverse events such as death or complications.
  20 in total

1.  Previous percutaneous coronary intervention increases morbidity after coronary artery bypass grafting.

Authors:  Gaurav S Mehta; Damien J LaPar; Castigliano M Bhamidipati; John A Kern; Irving L Kron; Gilbert R Upchurch; Gorav Ailawadi
Journal:  Surgery       Date:  2012-04-11       Impact factor: 3.982

2.  Guidelines on myocardial revascularization.

Authors:  William Wijns; Philippe Kolh; Nicolas Danchin; Carlo Di Mario; Volkmar Falk; Thierry Folliguet; Scot Garg; Kurt Huber; Stefan James; Juhani Knuuti; Jose Lopez-Sendon; Jean Marco; Lorenzo Menicanti; Miodrag Ostojic; Massimo F Piepoli; Charles Pirlet; Jose L Pomar; Nicolaus Reifart; Flavio L Ribichini; Martin J Schalij; Paul Sergeant; Patrick W Serruys; Sigmund Silber; Miguel Sousa Uva; David Taggart
Journal:  Eur Heart J       Date:  2010-08-29       Impact factor: 29.983

3.  Severity of chronic kidney disease as a risk factor for operative mortality in nonemergent patients in the California coronary artery bypass graft surgery outcomes reporting program.

Authors:  Khung Keong Yeo; Zhongmin Li; Jane Y Yeun; Ezra Amsterdam
Journal:  Am J Cardiol       Date:  2008-03-07       Impact factor: 2.778

4.  The influence of diabetes mellitus in patients undergoing coronary artery bypass graft surgery: a prospective cohort study.

Authors:  Scott E Woods; Chris Eppley; Amy Engel
Journal:  Am Surg       Date:  2008-09       Impact factor: 0.688

5.  Prognosis of diabetic patients undergoing coronary artery bypass surgery compared with nondiabetics: a systematic review and meta-analysis.

Authors:  Xuena Zhang; Zhiguo Wu; Xiaoxia Peng; Anshi Wu; Yun Yue; Janet Martin; Davy Cheng
Journal:  J Cardiothorac Vasc Anesth       Date:  2010-12-13       Impact factor: 2.628

6.  Impact of completeness of revascularization on long-term cardiovascular outcomes in patients with type 2 diabetes mellitus: results from the Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI 2D).

Authors:  Leonard Schwartz; Marnie Bertolet; Frederick Feit; Francisco Fuentes; Edward Y Sako; Mehrdad S Toosi; Charles J Davidson; Fumiaki Ikeno; Spencer B King
Journal:  Circ Cardiovasc Interv       Date:  2012-04-10       Impact factor: 6.546

7.  Impact of previous percutaneous transluminal coronary angioplasty and/or stenting revascularization on outcomes after surgical revascularization: insights from the imagine study.

Authors:  Sidney Chocron; Richard Baillot; Jean Lucien Rouleau; Wayne J Warnica; Pierre Block; David Johnstone; Martin G Myers; Cristina Dana Calciu; Anna Nozza; Pierre Martineau; Wiek H van Gilst
Journal:  Eur Heart J       Date:  2008-02-19       Impact factor: 29.983

8.  [Coronary surgery in patients over 65 year of age].

Authors:  Krzysztof Chizyński; Ryszard Jaszewski; Alicja Iwaszkiewicz-Zasłonka; Janusz Zasłonka
Journal:  Przegl Lek       Date:  2003

9.  Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease.

Authors:  Patrick W Serruys; Marie-Claude Morice; A Pieter Kappetein; Antonio Colombo; David R Holmes; Michael J Mack; Elisabeth Ståhle; Ted E Feldman; Marcel van den Brand; Eric J Bass; Nic Van Dyck; Katrin Leadley; Keith D Dawkins; Friedrich W Mohr
Journal:  N Engl J Med       Date:  2009-02-18       Impact factor: 91.245

10.  Operative mortality in women and men undergoing coronary artery bypass grafting (from the California Coronary Artery Bypass Grafting Outcomes Reporting Program).

Authors:  Radhika Nandur Bukkapatnam; Khung Keong Yeo; Zhongmin Li; Ezra A Amsterdam
Journal:  Am J Cardiol       Date:  2009-12-21       Impact factor: 2.778

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  2 in total

Review 1.  Does Age Affect the Short- and Long-Term Outcomes of Coronary Bypass Grafting?

Authors:  Pavan Ashwini Anand; Suresh Keshavamurthy; Ellis M Shelley; Sibu Saha
Journal:  Int J Angiol       Date:  2021-08-25

2.  Endotracheal Tube Duration in Elderly Patients after the Coronary Artery Bypass Grafting Surgery.

Authors:  Maryam Zarrizi; Ezzat Paryad; Atefeh Ghanbari Khanghah; Ehsan Kazemnezhad Leili; Hamed Faghani
Journal:  Tanaffos       Date:  2020-07
  2 in total

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