Is Female Gender Really a Risk Factor for Carotid Endarterectomy?
Article Outline
Background
The aim of this study was to assess the effect of gender on mortality and morbidity in carotid endarterectomy (CEA) patients.
Methods
Forty-one female and 150 male patients who underwent isolated CEA operations, between 1994 and 2007, were included in this study. To find the role of gender in isolated CEA operations, patients with a previous history of cardiac operations, coronary interventions, and a staged cardiac and/or vascular operation were excluded from the study.
Results
In the postoperative period, one female patient (2.4%) and 8 male patients (4.9%) had neurological complications (p > 0.05). Hospital mortality rates of female and male groups were 0.0% and 2.4%, respectively (p > 0.05). Perioperative events which cause significant increase in hospital mortality were myocardial ischemia, low cardiac output, and need of intra-aortic balloon pump (p = 0.0001). Late mortality rates of female and male groups were 7.5% and 9.9%, respectively. The actuarial survival rate was 82.2 ± 11.6% in women and 71.5 ± 7.5% in men for a mean period of 36.4 ± 29.1 months (p > 0.05). All the observed mortalities in the long term were cardiac-related or with other causes, no neurological deaths observed in both groups (p > 0.05). According to logistic regression analysis smoking and peripheral arterial disease were found as statistically significant risk factors for late mortality.
Conclusion
Female gender is not a risk factor for stroke or death after CEA. Women should not be excluded from the benefits of CEA and gender should not be a consideration in the decision to perform it.
Introduction
Carotid endarterectomy (CEA) is the gold standard treatment for patients with severe carotid artery stenosis.1 Clinical trials like Asymptomatic Carotid Atherosclerosis Study (ACAS) and the North American Symptomatic Carotid Endarterectomy Trial (NASCET) have identified the role of CEA in reducing the risk of stroke and neurological events in patients with carotid artery stenosis.1, 2, 3, 4, 5, 6, 7, 8 Subgroup analyses of these studies have questioned the ability of CEA to reduce the risk of stroke in females.1, 9 According to results of the NASCET and the ACAS studies, CEA may not be as efficacious in women as it is in men.1 Other series have also identified female gender as an independent risk factor, depending on increased rate of perioperative complications like stroke or death, and have concluded that the benefits of CEA may be gender-dependent.3, 10, 11
In contrast, many reports have shown that there is no evidence of gender-based differences between women and men for stroke and death rates after CEA and concluded that CEA can be performed safely in women with success rates similar to that observed in men.11, 12, 13, 14, 15, 16, 17
The aim of this study was to evaluate and compare the results of CEA in women and men in terms of safety, complication rates, and mortality.
Materials and Methods
Between 1994 and 2007, a total of 525 CEAs were performed in 493 patients in our clinic. Of these, 191 patients (41 female and 150 male) who underwent isolated CEA operations were included in this study. Patients with a previous history of cardiac operations, coronary interventions, and a staged cardiac and/or vascular operation were excluded from the study so as to find the role of gender in isolated CEA operations. Patients with coronary artery disease (CAD) assigned for medical treatment were not excluded.
We analyzed the effects of gender, preoperative risk factors, symptoms and signs, complication rates, postoperative events on operative results, and short- and long-term outcomes in terms of mortality and morbidity.
Statistical analysis
Statistical analyses were performed with “Chi-Square test and Student's t test,” where appropriate. Kaplan–Meier test (log rank test) was used for actuarial survival analyses of the groups. All the values were expressed as mean ± SD. Statistical significance was accepted at p < 0.05. To analyze the effect of all risk factors for mortality, “Logistic Regression Analysis” was performed.
Results
Between 1994 and 2007, 205 isolated CEA operations were performed in 191 patients. The ratio of men to women was 3.8:1. Mean age of female and male patients were 64.4 ± 9.0 and 64.9 ± 8.3 years, respectively (p > 0.05).
The preoperative risk factors, smoking and existence of peripheral arterial disease (PAD), were significantly higher in men, whereas hyperlipidemia was higher in women. Vast majority of patients (n = 132, 64.4%) were symptomatic, as compared to 73 (35.6%) who were asymptomatic. Twenty-six (61.9%) female and 106 (65.0%) male patients were symptomatic, and there was no significant difference between female and male groups. The number of patients with CAD was 12 (29.4%) in the female group and 62 (38.0%) in the male group, and all these patients were under medical treatment. Coronary artery disease was detected in 25.8% (34 patients) of symptomatic and 54.8% (40 patients) of asymptomatic patients (p = 0.001). Demographic data, symptoms, and preoperative risk factors are listed in Table I.
Table I. Demographics and preoperative symptoms/risk factors of 205 operations
| Women % (n = 42) | Men % (n = 163) | p value | Total % (n = 205) | |
|---|---|---|---|---|
| Age (year ± SEM) | 64.4 ± 9.0 | 64.9 ± 8.3 | 0.733 | 64.8 ± 8.5 |
| Smoking | 11.9 (5) | 34.4 (56) | 0.005 | 29.8 (61) |
| Diabetes | 21.4 (9) | 22.1 (36) | 0.927 | 22.0 (45) |
| Hypertension | 52.4 (22) | 41.1 (67) | 0.189 | 43.4 (89) |
| Hyperlipidemia | 40.5 (17) | 21.5 (35) | 0.012 | 25.4 (52) |
| COPD | 0 | 4.9 (8) | 0.143 | 3.9 (8) |
| CRF | 0 | 3.7 (6) | 0.207 | 2.9 (6) |
| PAD | 14.3 (6) | 30.7 (50) | 0.034 | 27.3 (56) |
| Family history | 14.3 (6) | 8.0 (13) | 0.209 | 9.3 (19) |
| CAD | 0.100 | |||
| 26.8 (11) | 30.7 (50) | 29.8 (61) | ||
| 45.2 (19) | 31.3 (51) | 34.1 (70) | ||
| 0 | 6.1 (10) | 4.9 (10) | ||
| 19.9 (8) | 12.3 (20) | 13.7 (28) | ||
| 9.5 (4) | 19.6 (32) | 17.6 (36) | ||
| 0 | 0 | 0 | ||
| LV dysfunction | 0 | 5.5 (9) | 0.275 | 4.4 (9) |
| Clinic | 0.706 | |||
| 61.9 (26) | 65.0 (106) | 64.4 (132) | ||
| 38.1 (16) | 35.0 (57) | 35.6 (73) | ||
| Symptoms | 0.738 | |||
| 26.2 (11) | 32.5 (53) | 31.2 (64) | ||
| 2.4 (1) | 4.9 (8) | 4.4 (9) | ||
| 2.4 (1) | 4.9 (8) | 4.4 (9) | ||
| 16.7 (7) | 14.1 (23) | 14.6 (30) | ||
| 14.3 (6) | 8.6 (14) | 9.8 (20) | ||
| Carotid bruits | 35.7 (15) | 30.1 (49) | 0.481 | 31.2 (64) |
Doppler-Duplex, with or without digital subtraction angiography, computed tomography, or magnetic resonance imaging angiography, was used for diagnosis.
Of the 191 patients, 177 (92.7%) had unilateral and 14 (7.3%) had bilateral CEAs. Five of 14 bilateral CEAs were performed in the same hospitalization period as two different operations. No simultaneous bilateral CEA was performed in any patient. Mean time between two operations was 212.0 ± 0.0 days in female group, and 113.1 ± 198.3 days in male group (p > 0.05). The most frequently used technique was patch closure for both groups. There was no statistically significant difference in operative technique or use of shunt and electroencephalography monitoring between two groups. All procedures were performed by cardiovascular or vascular surgeons, under general or regional anesthesia. Operative techniques, side of operations, and degrees of internal carotid artery stenosis are listed in Table II.
Table II. Operative techniques and preoperative data of 205 operations
| Women % 20.5 (n = 42) | Men % 79.5 (n = 163) | p value | Total % 100.0 (n = 205) | |
|---|---|---|---|---|
| CEA | ||||
| 97.6 (41) | 92.0 (150) | 0.200 | 93.2 (191) | |
| 2.4 (1) | 8.0 (13) | 6.8 (14) | ||
| Bilateral operation—in same hospitalization | 0 | 3.0 (5) | 0.439 | 2.4 (5) |
| Side of CEA | ||||
| 28.6 (12) | 49.1 (80) | 0.017 | 44.9 (92) | |
| 71.4 (30) | 50.9 (83) | 55.1 (113) | ||
| Stenosis in CA | ||||
| 2.4 (1) | 8.0 (13) | 0.200 | 6.8 (14) | |
| 97.6 (41) | 92.0 (150) | 93.2 (191) | ||
| Anesthesia | ||||
| 97.6 (41) | 94.5 (154) | 0.399 | 95.1 (195) | |
| 2.4 (1) | 5.5 (9) | 4.9 (10) | ||
| Technique | ||||
| 11.9 (5) | 11.0 (18) | 0.427 | 11.2 (23) | |
| 2.4 (1) | 1.2 (2) | 1.5 (3) | ||
| 23.8 (10) | 14.7 (24) | 16.6 (34) | ||
| 59.5 (25) | 72.4 (118) | 69.8 (143) | ||
| 2.4 (1) | 0.6 (1) | 1.0 (2) | ||
| Tacking | 11.9 (5) | 8.6 (14) | 0.509 | 9.3 (19) |
| Shunt | 69.0 (29) | 69.9 (114) | 0.911 | 69.8 (143) |
| EEG monitorization | 31.0 (13) | 25.2 (41) | 0.447 | 26.3 (54) |
| Time between two CEAs | 212.0 ± 0.0 | 113.1 ± 198.3 | 0.640 | 120.2 ± 192.4 |
| Time to discharge (days) | 6.6 ± 8.2 | 6.7 ± 7.6 | 0.931 | 6.9 ± 7.7 |
In the postoperative period, one female patient (2.4%) had a major contralateral stroke, six male patients (3.7%) had minor strokes, and 2 male patients (1.2%) had major ipsilateral stroke. There was no statistically significant difference in postoperative neurological outcome between the groups (Table III). The only statistically significant difference between female and male groups in postoperative complication rates was postoperative hematoma needing re-exploration. Although 20 (12.3%) men were locally re-explored for early postoperative hematoma, but none of the women were (p = 0.017).
Table III. Postoperative outcomes and complications in 205 operations
| Women % (n = 42) | Men % (n = 163) | p value | Total % (n = 205) | |
|---|---|---|---|---|
| Neurological outcome | ||||
| 0 | 0 | 0.113 | 0 | |
| 0 | 3.7 (6) | 2.9 (6) | ||
| 0 | 1.2 (2) | 1.0 (2) | ||
| 2.4 (1) | 0 | 0.5 (1) | ||
| Postoperative hematoma | 0 | 12.3 (20) | 0.017 | 9.8 (20) |
| Cranial nerve injury | 0 | 0.6 (1) | 0.611 | 0.5 (1) |
| Cerebral hypoperfusion | 0 | 0 | – | 0 |
| Myocardial ischemia | 0 | 4.3 (7) | 0.172 | 3.4 (7) |
| Low cardiac output | 0 | 2.5 (4) | 0.305 | 2.0 (4) |
| IABP | 0 | 1.2 (2) | 0.471 | 1.0 (2) |
Hospital mortality rates of 205 operations in female and male groups were 0.0% and 2.4% (n = 4), respectively (Table IV). There was no statistically significant difference related to gender on hospital mortality.
Table IV. Overall mortality rates
| Women % (n) | Men % (n) | p value | Total % (n) | |
|---|---|---|---|---|
| In hospital mortalitya | ||||
| 0 | 0 | 0 | ||
| 0 | 1.8 (3) | – | 1.4 (3) | |
| 0 | 0.6 (1) | 0.5 (1) | ||
| Total | 0 | 2.4 (4) | 0.305 | 1.9 (4) |
| Late mortalityb | ||||
| 0 | 0 | 0 | ||
| 2.5 (1) | 7.2 (11) | 0.180 | 6.2 (12) | |
| 5.0 (2) | 2.6 (4) | 3.1 (6) | ||
| Total | 7.5 (3) | 9.9 (15) | 0.639 | 9.4 (18) |
aIn 205 operations (42 women - 163 men). |
bIn 191 operations (40 women - 151 men). |
The only preoperative risk factor affecting the overall hospital mortality rate in 205 operations was the presence of CAD (p = 0.045). There was no other demonstrable relation between the mortality and the preoperative risk factors including chronic renal failure, hypertension, diabetes mellitus, or smoking (Table V).
Table V. Preoperative risk factors affecting early mortality rates in 205 operations
| Women % (n) | p value | Men % (n) | p value | Total % (n) | p value | ||||
|---|---|---|---|---|---|---|---|---|---|
| Discharged | Deceased | Discharged | Deceased | Discharged | Deceased | ||||
| Number of operations | 100.0 (42) | 0 | 97.5 (159) | 2.5 (4) | 98.0 (201) | 2.0 (4) | |||
| Age (year ± SEM) | 64.4 ± 9.0 | – | – | 64.9 ± 8.3 | 63.5 ± 9.1 | 0.735 | 64.8 ± 8.5 | 63.5 ± 9.1 | 0.758 |
| Clinic | |||||||||
| 61.9 (26) | 0 | – | 64.8 (103) | 75.0 (3) | 0.672 | 64.2 (129) | 75.0 (3) | 0.654 | |
| 38.1 (16) | 0 | 35.2 (56) | 25.0 (1) | 35.8 (72) | 25.0 (1) | ||||
| Symptoms | |||||||||
| 38.1 (16) | 0 | – | 35.2 (56) | 25.0 (1) | 0.589 | 35.8 (72) | 25.0 (1) | 0.551 | |
| 26.2 (11) | 0 | 31.4 (50) | 75.0 (3) | 30.3 (61) | 75.0 (3) | ||||
| 2.4 (1) | 0 | 5.0 (8) | 0 | 4.5 (9) | 0 | ||||
| 2.4 (1) | 0 | 5.0 (8) | 0 | 4.5 (9) | 0 | ||||
| 16.7 (7) | 0 | 14.5 (23) | 0 | 14.9 (30) | 0 | ||||
| 14.3 (6) | 0 | 8.8 (14) | 0 | 10.0 (20) | 0 | ||||
| Carotid bruits | 35.7 (15) | 0 | – | 30.8 (49) | 0 | 0.184 | 31.8 (64) | 0 | 0.174 |
| Smoking | 11.9 (5) | 0 | – | 35.2 (56) | 0 | 0.143 | 30.3 (61) | 0 | 0.189 |
| Hypertension | 52.4 (22) | 0 | – | 42.1 (67) | 0 | 0.091 | 44.3 (89) | 0 | 0.077 |
| Diabetes | 21.4 (9) | 0 | – | 22.0 (35) | 25.0 (1) | 0.887 | 21.9 (44) | 25.0 (1) | 0.882 |
| COPD | 0 | 0 | – | 5.0 (8) | 0 | 0.645 | 4.0 (8) | 0 | 0.684 |
| CRF | 0 | 0 | – | 3.8 (6) | 0 | 0.692 | 3.0 (6) | 0 | 0.726 |
| PAD | 14.3 (6) | 0 | – | 30.2 (48) | 50.0 (2) | 0.396 | 26.9 (54) | 50.0 (2) | 0.304 |
| Hyperlipidemia | 40.5 (17) | 0 | – | 22.0 (35) | 0 | 0.290 | 25.9 (52) | 0 | 0.239 |
| CAD | |||||||||
| 26.2 (11) | 0 | – | 31.4 (50) | 0 | 0.076 | 30.3 (61) | 0 | 0.045 | |
| 45.2 (19) | 0 | 31.4 (50) | 25.0 (1) | 34.3 (69) | 25.0 (1) | ||||
| 0 | 0 | 6.3 (10) | 0 | 5.0 (10) | 0 | ||||
| 19.0 (8) | 0 | 12.6 (20) | 0 | 13.9 (28) | 0 | ||||
| 9.5 (4) | 0 | 18.2 (29) | 75.0 (3) | 16.4 (33) | 75.0 (3) | ||||
| 0 | 0 | 0 | 0 | 0 | 0 | ||||
| LV dysfunction | 0 | 0 | – | 5.7 (9) | 0 | 0.618 | 4.4 (9) | 0 | 0.629 |
Perioperative events which cause statistically significant increase in overall hospital mortality in 205 operations were myocardial ischemia, low cardiac output, need of intra-aortic balloon pump (IABP) (p = 0.0001), and technique of arteriotomy closure (p = 0.002) (Table VI). The results were only applicable for male patient group, as no hospital mortality was observed in the female group.
Table VI. Perioperative events affecting hospital mortality rates in 205 operations
| Women % (n) | p value | Men % (n) | p value | Total % (n) | p value | ||||
|---|---|---|---|---|---|---|---|---|---|
| Discharged | Deceased | Discharged | Deceased | Discharged | Deceased | ||||
| Number of operations | 100.0 (42) | 0 | 97.5 (159) | 2.5 (4) | 98.0 (201) | 2.0 (4) | |||
| Bilateral operation | 2.4 (1) | 0 | – | 7.5 (12) | 25.0 (1) | 0.203 | 6.5 (13) | 25.0 (1) | 0.146 |
| Side of CEA | |||||||||
| 28.6 (12) | 0 | – | 48.4 (77) | 75.0 (3) | 0.294 | 44.3 (89) | 75.0 (3) | 0.221 | |
| 71.4 (30) | 0 | 51.6 (82) | 25.0 (1) | 55.7 (112) | 25.0 (1) | ||||
| Stenosis in CA | |||||||||
| 2.4 (1) | 0 | – | 8.2 (13) | 0 | 0.551 | 7.0 (14) | 0 | 0.584 | |
| 97.6 (41) | 0 | 91.8 (146) | 100.0 (4) | 93.0 (187) | 100.0 (4) | ||||
| Anesthesia | |||||||||
| 97.6 (41) | 0 | – | 94.3 (150) | 100.0 (4) | 0.624 | 95.0 (191) | 100.0 (4) | 0.647 | |
| 2.4 (1) | 0 | 5.7 (9) | 0 | 5.0 (10) | 0 | ||||
| Technique | |||||||||
| 11.9 (5) | 0 | – | 10.7 (17) | 25.0 (1) | 0.0001 | 10.9 (22) | 25.0 (1) | 0.002 | |
| 2.4 (1) | 0 | 0.6 (1) | 25.0 (1) | 1.0 (2) | 25.0 (1) | ||||
| 23.8 (10) | 0 | 15.1 (24) | 0 | 16.9 (34) | 0 | ||||
| 59.5 (25) | 0 | 73.0 (116) | 50.0 (2) | 70.1 (141) | 50.0 (2) | ||||
| 2.4 (1) | 0 | 0.6 (1) | 0 | 1.0 (2) | 0 | ||||
| Tacking | 11.9 (5) | 0 | – | 8.8 (14) | 0 | 0.535 | 9.5 (19) | 0 | 0.519 |
| Shunt | 69.0 (29) | 0 | – | 70.4 (112) | 50.0 (2) | 0.379 | 70.1 (141) | 50.0 (2) | 0.385 |
| EEG monitorization | 31.0 (13) | 0 | – | 25.8 (41) | 0 | 0.240 | 26.9 (54) | 0 | 0.227 |
| Neurological outcome | |||||||||
| 97.6 (41) | 0 | – | 95.0 (151) | 100.0 (4) | 0.900 | 95.5 (192) | 100.0 (4) | 0.980 | |
| 0 | 0 | 0 | 0 | 0 | 0 | ||||
| 0 | 0 | 3.8 (6) | 0 | 3.0 (6) | 0 | ||||
| 0 | 0 | 1.3 (2) | 0 | 1.0 (2) | 0 | ||||
| 2.4 (1) | 0 | 0 | 0 | 0.5 (1) | 0 | ||||
| Postoperative hematoma | 0 | 0 | – | 12.6 (20) | 0 | 0.449 | 10.0 (20) | 0 | 0.507 |
| Cranial nerve injury | 0 | 0 | – | 0.6 (1) | 0 | 0.874 | 0.5 (1) | 0 | 0.888 |
| Cerebral hypoperfusion | 0 | 0 | – | 0 | 0 | – | 0 | 0 | – |
| Myocardial ischemia | 0 | 0 | – | 2.5 (4) | 75.0 (3) | 0.0001 | 2.0 (4) | 75.0 (3) | 0.0001 |
| Low cardiac output | 0 | 0 | – | 0.6 (1) | 75.0 (3) | 0.0001 | 0.5 (1) | 75.0 (3) | 0.0001 |
| IABP | 0 | 0 | – | 0.6 (1) | 25.0 (1) | 0.0001 | 0.5 (1) | 25.0 (1) | 0.0001 |
| Time to discharge (days) | 6.6 ± 8.2 | – | – | 6.7 ± 7.6 | 7.2 ± 10.5 | 0.887 | 6.6 ± 7.7 | 7.2 ± 10.5 | 0.884 |
| Time between two CEAs | 212.0 ± 0.0 | – | – | 122.0 ± 204.4 | 6.0 ± 0.0 | 0.596 | 129.0 ± 197.3 | 6.0 ± 0.0 | 0.559 |
Long-term follow-up data were achieved in 93.1% (191 of 205) of operations, for a mean period of 36.4 ± 29.1 months postoperatively for 40 women and 151 men. Late overall mortality rates of 191 operations in female and male groups were 7.5% (3/40 patients) and 9.9% (15/151 patients), respectively. The actuarial survival rate was 82.2 ± 11.6% in women and 71.5 ± 7.5% in men (p > 0.05) (Fig. 1). All the observed mortalities in the long-term were cardiac-related or with other causes; no neurological deaths were observed in both groups. There was no statistically significant difference in late mortality rates related to gender between the two groups (Table IV).
The only specific risk factor for female group that causes a statistically significant increase in late mortality was the presence of PAD. For male group hypertension, PAD and left ventricular dysfunction were significant risk factors for late mortality (Table VII). Perioperative events that were statistically significant in overall late mortality in 191 operations were low cardiac output and need of IABP during the early postoperative period (Table VIII).
Table VII. Preoperative risk factors affecting late mortality rates in 191 operations
| Women % (n) | p value | Men % (n) | p value | Total % (n) | p value | ||||
|---|---|---|---|---|---|---|---|---|---|
| Alive | Deceased | Alive | Deceased | Alive | Deceased | ||||
| Number of patients | 92.5 (37) | 7.5 (3) | 90.1 (136) | 9.9 (15) | 90.6 (173) | 9.4 (18) | |||
| Age (year ± SEM) | 64.3 ± 9.5 | 68.0 ± 1.0 | 0.519 | 65.1 ± 8.5 | 65.1 ± 7.3 | 0.989 | 64.9 ± 8.7 | 65.6 ± 6.7 | 0.755 |
| Clinic | |||||||||
| 59.5 (22) | 66.7 (2) | 0.806 | 65.4 (89) | 60.0 (9) | 0.675 | 64.2 (111) | 61.1 (11) | 0.798 | |
| 40.5 (15) | 33.3 (1) | 34.6 (47) | 40.0 (6) | 35.8 (62) | 38.9 (7) | ||||
| Symptoms | |||||||||
| 40.5 (15) | 33.3 (1) | 0.317 | 34.6 (47) | 40.0 (6) | 0.270 | 35.8 (62) | 38.9 (7) | 0.635 | |
| 27.0 (10) | 0 | 30.1 (41) | 53.3 (8) | 29.5 (51) | 44.4 (8) | ||||
| 2.7 (1) | 0 | 5.1 (7) | 0 | 4.6 (8) | 0 | ||||
| 2.7 (1) | 0 | 5.1 (7) | 0 | 4.6 (8) | 0 | ||||
| 13.5 (5) | 66.7 (2) | 16.2 (22) | 0 | 15.6 (27) | 11.1 (2) | ||||
| 13.5 (5) | 0 | 8.8 (12) | 6.7 (1) | 9.8 (17) | 5.6 (1) | ||||
| Carotid bruits | 37.8 (14) | 33.3 (1) | 0.877 | 33.1 (45) | 26.7 (4) | 0.614 | 34.1 (59) | 27.8 (5) | 0.588 |
| Smoking | 13.5 (5) | 0 | 0.496 | 40.4 (55) | 6.7 (1) | 0.010 | 34.7 (60) | 5.6 (1) | 0.012 |
| Hypertension | 54.1 (20) | 66.7 (2) | 0.673 | 47.1 (64) | 20.0 (3) | 0.045 | 48.6 (84) | 27.8 (5) | 0.093 |
| Diabetes | 24.3 (9) | 0 | 0.332 | 22.8 (31) | 20.0 (3) | 0.806 | 23.1 (40) | 16.7 (3) | 0.533 |
| COPD | 0 | 0 | – | 5.9 (8) | 0 | 0.334 | 4.6 (8) | 0 | 0.351 |
| CRF | 0 | 0 | – | 2.9 (4) | 6.7 (1) | 0.444 | 2.3 (4) | 5.6 (1) | 0.412 |
| PAD | 10.8 (4) | 66.7 (2) | 0.009 | 24.3 (33) | 73.3 (11) | 0.0001 | 21.4 (37) | 72.2 (13) | 0.0001 |
| Hyperlipidemia | 43.2 (16) | 33.3 (1) | 0.738 | 25.0 (34) | 6.7 (1) | 0.110 | 28.9 (50) | 11.1 (2) | 0.107 |
| CAD | |||||||||
| 27.0 (10) | 33.3 (1) | 0.736 | 28.7 (39) | 33.3 (5) | 0.154 | 28.3 (49) | 33.3 (6) | 0.185 | |
| 43.2 (16) | 66.7 (2) | 33.8 (46) | 20.0 (3) | 35.8 (62) | 27.8 (5) | ||||
| 0 | 0 | 7.4 (10) | 0 | 5.8 (10) | 0 | ||||
| 26.1 (8) | 0 | 14.0 (19) | 6.7 (1) | 15.6 (27) | 5.6 (1) | ||||
| 8.1 (3) | 0 | 16.2 (22) | 40.0 (6) | 14.5 (25) | 33.3 (6) | ||||
| 0 | 0 | 0 | 0 | 0 | 0 | ||||
| LV dysfunction | 0 | 0 | 0.407 | 3.7 (5) | 26.7 (4) | 0.001 | 2.9 (5) | 22.2 (4) | 0.0001 |
Table VIII. Perioperative events affecting late mortality rates in 191 operations
| Women % (n) | p value | Men % (n) | p value | Total % (n) | p value | ||||
|---|---|---|---|---|---|---|---|---|---|
| Alive | Deceased | Alive | Deceased | Alive | Deceased | ||||
| Number of patients | 92.5 (37) | 7.5 (3) | 90.1 (136) | 9.9 (15) | 90.6 (173) | 9.4 (18) | |||
| Bilateral operation | 2.7 (1) | 0 | 0.773 | 7.4 (10) | 13.3 (2) | 0.416 | 6.4 (11) | 11.1 (2) | 0.446 |
| Side of CEA | |||||||||
| 29.7 (11) | 33.3 (1) | 0.896 | 47.1 (64) | 60.0 (9) | 0.341 | 43.4 (75) | 55.6 (10) | 0.321 | |
| 70.3 (26) | 66.7 (2) | 52.9 (72) | 40.0 (6) | 56.6 (98) | 44.4 (8) | ||||
| Stenosis in CA | |||||||||
| 0 | 33.3 (1) | 0.0001 | 8.1 (11) | 13.3 (2) | 0.492 | 6.4 (11) | 16.7 (3) | 0.110 | |
| 100.0 (37) | 66.7 (2) | 91.9 (125) | 86.7 (13) | 93.6 (162) | 83.3 (15) | ||||
| Anesthesia | |||||||||
| 97.3 (36) | 100.0 (3) | 0.773 | 94.9 (129) | 86.7 (13) | 0.204 | 95.4 (165) | 88.9 (16) | 0.240 | |
| 2.7 (1) | 0 | 5.1 (7) | 13.3 (2) | 4.6 (8) | 11.1 (2) | ||||
| Technique | |||||||||
| 10.8 (4) | 0 | 0.963 | 9.6 (13) | 13.3 (2) | 0.840 | 9.8 (17) | 11.1 (2) | 0.893 | |
| 2.7 (1) | 0 | 0.7 (1) | 0 | 1.2 (2) | 0 | ||||
| 24.3 (9) | 33.3 (1) | 16.9 (23) | 6.7 (1) | 18.5 (32) | 11.1 (2) | ||||
| 59.5 (22) | 66.7 (2) | 72.1 (98) | 80.0 (12) | 69.4 (120) | 77.8 (14) | ||||
| 2.7 (1) | 0 | 0.7 (1) | 0 | 1.2 (2) | 0 | ||||
| Tacking | 13.5 (5) | 0 | 0.496 | 8.8 (12) | 6.7 (1) | 0.777 | 9.8 (17) | 5.6 (1) | 0.555 |
| Shunt | 67.6 (25) | 100.0 (3) | 0.238 | 72.8 (99) | 60.0 (9) | 0.252 | 71.7 (124) | 66.7 (12) | 0.655 |
| EEG monitorization | 32.4 (12) | 33.3 (1) | 0.974 | 25.7 (35) | 33.3 (5) | 0.527 | 27.2 (47) | 33.3 (6) | 0.578 |
| Neurological outcome | |||||||||
| 100.0 (37) | 100.0 (3) | – | 94.9 (129) | 93.3 (14) | 0.119 | 96.0 (166) | 94.4 (17) | 0.106 | |
| 0 | 0 | 0 | 0 | 0 | 0 | ||||
| 0 | 0 | 4.4 (6) | 0 | 3.5 (6) | 0 | ||||
| 0 | 0 | 0.7 (1) | 6.7 (1) | 0.6 (1) | 5.6 (1) | ||||
| 0 | 0 | 0 | 0 | 0 | 0 | ||||
| Postoperative hematoma | 0 | 0 | – | 14.0 (19) | 6.7 (1) | 0.428 | 11.1 (19) | 5.6 (1) | 0.474 |
| Cranial nerve injury | 0 | 0 | – | 0 | 0 | – | 0 | 0 | – |
| Cerebral hypoperfusion | 0 | 0 | – | 0 | 0 | – | 0 | 0 | – |
| Myocardial ischemia | 0 | 0 | – | 2.2 (3) | 6.7 (1) | 0.307 | 1.7 (3) | 5.6 (1) | 0.281 |
| Low cardiac output | 0 | 0 | – | 0 | 6.7 (1) | 0.003 | 0 | 5.6 (1) | 0.002 |
| IABP | 0 | 0 | – | 0 | 6.7 (1) | 0.003 | 0 | 5.6 (1) | 0.002 |
| Time to discharge (days) | 6.0 ± 8.3 | 9.6 ± 9.0 | 0.473 | 6.5 ± 7.8 | 5.9 ± 4.5 | 0.776 | 6.4 ± 7.9 | 6.5 ± 5.3 | 0.942 |
| Time between two CEAs (days) | 212.0 ± 0.0 | – | – | 142.9 ± 219.5 | 18.0 ± 14.1 | 0.457 | 149.1 ± 209.2 | 18.0 ± 14.1 | 0.411 |
We did not observe any demonstrable significant relationship between neurological symptoms and hospital or late mortality rates, in both groups. Also, there were no significant differences between the existence or severity of contralateral stenosis and hospital or late mortality rates, in both groups.
According to logistic regression analysis, smoking and PAD were found as statistically significant risk factors for late mortality (Table IX).
Table IX. Overall risk factor analysis for late mortality
| Variables | B | S.E. | Sig. | Exp(B) |
|---|---|---|---|---|
| Gender | 0.739 | 0.857 | 0.389 | 2.093 |
| Age | 0.008 | 0.040 | 0.839 | 1.008 |
| Smoking | −3.368 | 1.328 | 0.011 | 0.034 |
| Diabetes | −1.044 | 0.889 | 0.240 | 0.352 |
| Hypertension | 0.669 | 0.843 | 0.427 | 1.953 |
| Hyperlipidemia | −0.120 | 1.016 | 0.906 | 0.887 |
| COPD | −15.470 | 13,652.473 | 0.999 | 0.000 |
| CRF | 1.293 | 1.349 | 0.338 | 3.644 |
| PAD | 2.789 | 0.680 | 0.0001 | 16.266 |
| Clinic | −1.336 | 0.717 | 0.062 | 0.263 |
| CAD | −0.130 | 0.622 | 0.835 | 0.878 |
| Neurological deficit | 0.336 | 1.213 | 0.782 | 1.399 |
| Low cardiac output | 41.588 | 34,955.764 | 0.999 | 1E + 018 |
| IABP | −1.527 | 37,470.235 | 1.000 | 0.217 |
| Myocardial ischemia | −17.325 | 22,999.872 | 0.999 | 0.000 |
Discussion
Gender differences are recognized as an important prognostic factor in patients with atherosclerotic disease, and carotid artery stenosis is known to be one of them.18 Although ACAS and NASCET studies have shown the role of CEA in reducing the risk of stroke for patients with carotid artery stenosis, subgroup analyses of these studies have questioned the ability of CEA to reduce the risk of stroke in females.1, 2, 3, 4, 5, 6, 7, 8, 9 As a result of these studies, there was a need for new studies to evaluate the role of gender on postoperative outcome in patients with carotid artery stenosis.
Sarac et al.,1 in their series of 3,422 CEAs, concluded that the combined transient ischemic attack or stroke and stroke or mortality rates are higher in women as compared with men in the postoperative period, but these risks remain acceptable when CEA is performed for appropriate indications. They showed that the interaction between symptoms and gender suggested that in patients who are asymptomatic, women are more likely than are men to have early complications. However, they did not find any gender difference in patients who were symptomatic and concluded that, despite a low postoperative complication rate, CEA is appropriate in women who are asymptomatic.1
When evaluating two groups in terms of outcome after CEA, gender differences like higher carotid blood flow velocities in women, more stable, less inflammatory plaques especially in asymptomatic women, rates of hypertension, CAD, PAD, smoking, or comorbid diseases must be considered.19, 20 These findings contradicted the results of Sarac et al.1 and could explain why asymptomatic women benefit less from CEA as compared with men.20 In our study, statistically significant differences for preoperative risk factors were smoking and PAD which were higher in males, and hyperlipidemia which was higher in females. In symptomatic or asymptomatic patients, we did not observe any statistically significant difference between two groups for early and late outcomes.
Lane et al.,9 in their series of 361 CEAs, showed that perioperative stroke rate was similar for women and men, but in women with previous neurological symptoms and those using hormone replacement therapy, there was a trend toward an increased perioperative stroke rate. They concluded that CEA provides a long-term reduction in stroke risk and improved stroke-free survival rates for both men and women.9
The main problem while evaluating the outcome of surgery for female gender will be the high population of male gender in carotid disease patients.21 In many studies, as it is in our study, the ratios of men to women are higher than 2:1 or 3:1 and the number of CEAs in women hospitalized for carotid artery stenosis or its complications is fewer than in men.1, 2, 22 The relatively lower number of women was consistent in every age group and in nearly all studies.2 With the pre-assumption of male and female populations at age groups being the same, this may lead to a false idea that carotid arteries are less affected in women from atherosclerosis. In fact, this idea has not been thoroughly investigated, but it is a well known issue that physicians prefer to treat female carotid artery patients conservatively. Although there is significant variability in cardiac risk factors and presentation, female gender is not a risk factor for stroke, death, or cardiac morbidity after CEA.11
In our study, there was no hospital mortality in female group, and neurological outcomes or rates of postoperative complications of women were comparable to men. Although most of the results were not statistically significant, many complications like postoperative hematoma, cranial verve injury, myocardial ischemia, low cardiac output, or need of IABP were observed in men whereas no woman had these complications.
In our clinic, carotid duplex is preferred for evaluating patients with symptoms of coronary artery disease, and because of the huge number of these patients who attended our hospital, in our series the detection rates of asymptomatic carotid stenosis compared with symptomatic carotid stenosis in patients with CAD are higher.
The results of our study challenge the conclusions from the ACAS and NASCET regarding the benefits of CEA in women. Furthermore, larger comparative studies are necessary to understand the benefit of CEA in women, but the results of our study suggest that the early and late outcomes are comparable in symptomatic or asymptomatic men and women. Female gender does not adversely affect early or late survival after CEA.
Conclusion
CEA can be performed safely in women with asymptomatic and symptomatic carotid artery disease, and physicians should expect comparable benefits and outcomes in women and men undergoing CEA. Women should not be excluded from the benefits of CEA on the basis of perceived increased complication rates, and gender should not be a consideration in the decision to perform CEA.
References
- Gender as a primary predictor of outcome after carotid endarterectomy. J Vasc Surg. 2002;35:748–753
- . Carotid endarterectomy for women and men. J Womens Health Gend Based Med. 2000;9:987–994
- . Gender-specific risk of perioperative complications in carotid endarterectomy patients with contralateral carotid artery stenosis or occlusion. J Neurol. 2004;251:838–844
- . Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. N Engl J Med. 1991;325:445–453
- Carotid endarterectomy and prevention of cerebral ischemia in symptomatic carotid stenosis. JAMA. 1991;266:3289–3292
- . MRC European Carotid Surgery Trial: interim results for symptomatic patients with severe (70-99%) or with mild (0-29%) carotid stenosis. Lancet. 1991;337:1235–1243
- Efficacy of carotid endarterectomy for asymptomatic carotid stenosis. N Engl J Med. 1993;328:221–227
- . Endarterectomy for asymptomatic carotid artery stenosis. JAMA. 1995;273:1421–1428
- . Does female gender or hormone replacement therapy affect early or late outcome after carotid endarterectomy?. J Vasc Surg. 2003;37:568–574
- Effect of age and gender on restenosis after carotid endarterectomy. Ann Vasc Surg. 2006;20:602–608
- Gender and carotid endarterectomy: does it matter?. J Vasc Surg. 2000;31:1103–1109
- Predicting complications of carotid endarterectomy. Stroke. 1993;24:1285–1291
- Comparison and meta-analysis of randomized trials of endarterectomy for symptomatic carotid artery stenosis. Neurology. 1995;45:1965–1970
- . Carotid endarterectomy in women versus men: patient characteristics and outcomes. J Vasc Surg. 1997;25:890–898
- Carotid endarterectomy in women: early and long-term results. Surgery. 2000;127:264–271
- . The influence of female gender on the outcome of carotid endarterectomy: a challenge to the ACAS findings. Surgery. 2000;127:272–275
- Carotid endarterectomy in female patients: are the concerns of the Asymptomatic Carotid Atherosclerosis Study valid?. J Vasc Surg. 2001;33:236–241
- Gender differences in outcome of conservatively treated patients with asymptomatic high grade carotid stenosis. Stroke. 2005;36:1178–1183
- Gender differences in blood velocities across carotid stenoses. J Vasc Surg. 2004;40:939–944
- Gender-associated differences in plaque phenotype of patients undergoing carotid endarterectomy. J Vasc Surg. 2007;45:289–296
- Carotid endarterectomy in women: challenging the results from ACAS and NASCET. Ann Surg. 2001;234:438–445
- Gender differences in the treatment of cerebrovascular disease. J Am Geriatr Soc. 2000;48:741–745
PII: S0890-5096(10)00086-5
doi:10.1016/j.avsg.2010.02.017
© 2010 Annals of Vascular Surgery Inc. Published by Elsevier Inc All rights reserved.

