Journal List > Korean J Gastroenterol > v.83(4) > 1516087115

Association between Atherosclerosis and High-Risk Colorectal Adenomas based on Cardio-Ankle Vascular Index and Ankle-Brachial Index

Abstract

Background/Aims

Colorectal adenomas are precancerous lesions that may lead to colorectal cancer. Recent studies have shown that colorectal adenomas are associated with atherosclerosis. The cardio-ankle vascular index (CAVI) and ankle-brachial index (ABI) are noninvasive methods for evaluating atherosclerosis. This study examined the association between atherosclerosis and high-risk colorectal adenomas based on the CAVI and ABI.

Methods

The data of patients aged ≥50 years who had a colonoscopy and CAVI and ABI measurements from August 2015 to December 2021 at the Kangwon National University Hospital were analyzed retrospectively. After the colonoscopy, subjects were divided into no, overall, and high-risk (size ≥1 cm, high-grade dysplasia or villous adenoma, three or more adenomas) adenoma groups based on the pathology findings. The data were subjected to univariate and multivariate logistic regression analyses.

Results

Among the 1,164 subjects, adenomas and high-risk adenomas were found in 613 (52.6%) and 118 (10.1%) patients, respectively. The rate of positive ABI (<0.9) and positive CAVI (≥9.0) were significantly higher in the high-risk adenoma group (22.0% and 55.9%) than in the no adenoma (12.3% and 39.6%) and the overall adenoma group (15.7% and 44.0%) (p=0.008 and p=0.006, respectively). Multivariate analysis revealed a positive CAVI and smoking status to be significantly associated with high-risk adenoma with an odds ratio of 1.595 (95% confidence interval 1.055–2.410, p=0.027) and 1.579 (1.072–2.324, p=0.021), respectively.

Conclusions

In this study, a significant correlation between positive CAVI and high-risk adenomas was observed. Therefore, CAVI may be a significant predictor for high-risk colorectal adenoma.

INTRODUCTION

Colorectal cancer (CRC) is a common malignancy and a major cause of cancer-related death. Colorectal adenomas are precursor lesions of CRC. Colonoscopy facilitates the identification and removal of colorectal adenomas, as well as the early detection of CRC, reducing the incidence and mortality from CRC.1
Previous studies have reported an association between the occurrence of CRC and conditions such as diabetes mellitus, obesity, and metabolic syndrome.2,3 The accumulation of visceral fat and related metabolic disturbances in metabolic syndrome is believed to trigger atherosclerosis, leading to cardiovascular or cerebrovascular diseases. Therefore, patients with cardiovascular disease caused by atherosclerosis have a high risk of colorectal neoplasms.4
The ankle-brachial index (ABI), pulse wave velocity (PWV), and cardio-ankle vascular index (CAVI) are noninvasive methods used to assess atherosclerosis, a condition characterized by the stiffening and narrowing of arteries caused by plaque buildup.5,6 The ABI measures the ratio of blood pressure in the ankles and arms to detect peripheral artery disease. The PWV quantifies the speed at which pressure waves travel through the arteries, reflecting arterial stiffness and cardiovascular risk. The CAVI is a comprehensive index that evaluates vascular health from the heart to the ankles by considering arterial stiffness and blood pressure. These techniques collectively provide insights into the presence and severity of atherosclerosis, aiding in risk assessments and preventive strategies for cardiovascular and peripheral artery diseases. On the other hand, PWV depends on the patient's blood pressure when measured, while the CAVI is a more accurate and reproducible index of arteriosclerosis.7,8
Previous studies reported the relationship between peripheral vascular diseases and colorectal adenomas using ABI and PWV.9-12 Additionally, a recent study reported an association of arterial stiffness measured by PWV with the occurrence of high-risk adenomas and serrated lesions.13 However, no studies have assessed the association between CAVI and adenoma risk. Therefore, this study investigated the association between atherosclerosis and high-risk colorectal adenomas using CAVI and ABI.

SUBJECTS AND METHODS

1. Study design and population

The medical data from Korean subjects aged 50 years and above who underwent both CAVI and ABI measurements, as well as colonoscopy for health check-ups at Kangwon National University Hospital between August 2015 and December 2021, were analyzed retrospectively. Subjects with poor bowel preparation (n=65), failure of cecum intubation (n=5), inflammatory bowel disease (n=6), or a prior diagnosis of colorectal or other cancers (n=78) were excluded. This study was approved by the Institutional Committee on Human Research (Institutional Review Board No. KNUH 2023-02-013).

2. Data collection

Clinical data, including demographic information, medical history, and relevant laboratory results, were extracted from the electronic medical records. The age, sex, body mass index (BMI), lipid profile, smoking, alcohol consumption, atherosclerosis indicators (CAVI, ABI), and various medical conditions were analyzed to determine their potential associations with colorectal adenoma. Based on the colonoscopy and pathology findings, the subjects were divided into no and overall adenoma groups, and a subgroup with high-risk adenomas was analyzed separately. High-risk adenomas were defined as those with a size of ≥1 cm with high-grade dysplasia, villous adenoma, or the presence of three or more adenomas.14

3. Measurement of CAVI and ABI

The CAVI was measured using a VaSera VS-1500N (Fukuda Denshi, Tokyo, Japan). The procedure involves wearing blood pressure cuffs on the upper arms and ankles while simultaneously recording the electrocardiogram signals. This index was used to reflect vascular stiffness, where lower values indicated healthier vessels and higher values suggested increased arterial stiffness. A CAVI of 9.0 or higher was considered an abnormal finding and indicated an increased risk of cardiovascular disease.
The ABI was measured using a handheld Doppler ultrasound device (Colin VP-1000 plus; Omron Healthcare, Kyoto, Japan, or VaSera VS-1500N; Fukuda Denshi, Tokyo, Japan). The systolic blood pressure at the ankle was compared with that at the upper arm, and the ABI was calculated as the ankle pressure divided by the brachial pressure. An ABI value below 0.9 was considered abnormal and indicated a higher risk of cardiovascular events.

4. Statistical analysis

Data management and statistical analyses were performed using SPSS for Windows (version 21.0; SPSS Inc., Armonk, NY, USA). The categorical variables are reported as numbers and percentages (%), and continuous variables are presented as the mean ± standard deviation. Logistic regression analysis was performed to determine the odds ratios (ORs) with the 95% confidence intervals (CI) for each outcome, including age, sex, smoking history, and alcohol consumption. Univariate and multivariate analyses were conducted to compare the positive diagnostic rates of ABI and CAVI between the groups diagnosed with adenoma and high-risk adenoma and the group without adenoma. A p-value <0.05 was considered significant.

RESULTS

1. Study population and adenoma prevalence

This study enrolled 1,164 subjects. The mean age was 65.8±10.2 years (range 42–96 years); 726 (62.4%) were male and 438 (37.6%) were female. Of all subjects, adenomas were detected in 613 (52.6%). Among these adenomas, 118 were classified as high-risk (10.1%) (Table 1). Table 1 lists the clinical characteristics of the individuals across the different groups. Compared to the no adenoma group, the overall adenoma group and the subgroup with high-risk adenoma were significantly older and more likely to be male. In addition, they had a higher BMI and higher rates of smoking and alcohol consumption.

2. Atherosclerosis indicators and adenoma

The prevalence of a positive ABI (ABI <0.9) was higher in the high-risk adenoma subgroup (22.0%) than in the no adenoma group (12.3%) and overall adenoma group (15.7%) (p=0.008; Fig. 1). Similarly, the prevalence of positive CAVI (CAVI ≥9.0) was significantly higher in the high-risk adenoma subgroup (55.9%) than in the no adenoma group (39.6%) and overall adenoma group (44.0%; p=0.006).

3. Univariate and multivariate analysis

Tables 2 and 3 list the results of univariate and multivariate logistic regression analyses for overall and high-risk adenoma, respectively. Age, sex, BMI, ABI, CAVI, lipid profile, smoking status, alcohol consumption, and various medical conditions were evaluated for their potential influence on the presence of adenomas and high-risk adenomas.
Multivariate analysis revealed male sex, smoking, and alcohol consumption to be significantly associated with overall adenoma with an OR of 1.636 (95% CI 1.276–2.096, p<0.001), 1.488 (95% CI 1.140–1.942, p=0.003), and 1.263 (95% CI 0.960–1.660, p=0.095), respectively. Two variables were found to be significantly associated with high-risk adenoma: positive CAVI (≥9.0) and smoking with an OR of 1.595 (95% CI 1.055–2.410, p=0.027) and 1,579 (95% CI 1.072–2.324, p=0.021), respectively.

DISCUSSION

This study showed that individuals with high-risk colorectal adenomas had higher rates of positive CAVI and ABI than those with no adenomas or overall adenomas. In multivariate analysis, male, sex, smoking, and alcohol consumption were significant factors associated with overall adenoma, and positive CAVI and smoking were significantly associated with high-risk adenoma. These results highlight the potential link between cardiovascular health and high-risk colorectal adenomas. Therefore, the CAVI could serve as a valuable predictor of high-risk colorectal adenoma.
Previous studies reported that colorectal adenomas exhibit an intriguing link with arterial stiffness, a well-known indicator of cardiovascular disease.9-13 PWV is a direct indicator of arterial wall elasticity and the most traditional measure used to gauge the degree of vascular rigidity. On the other hand, it is dependent on the patient's blood pressure at the time of measurement.15,16 CAVI has been proposed as an alternative method to evaluate arterial stiffness, which specifically evaluates the stiffness of the arteries from the heart to the ankle.17,18 The CAVI increases with arterial stiffness, with higher CAVI values suggesting increased arterial rigidity, often linked to hypertension and atherosclerosis. The CAVI is calculated using the Bramwell–Hill equation, which corrects for blood pressure, enhancing its efficacy as a marker of arterial stiffness and providing a more accurate and reproducible indicator than PWV.6,7 Moreover, a recent study showed that the CAVI is more closely associated with arterial damage and cardiovascular disease risk in patients with diabetes than brachial- ankle PWV (baPWV).8 ABI is a simple and commonly used test to assess peripheral arterial disease by measuring the ratio of the blood pressure in the ankle to that in the arm.19 A lower ABI value suggests decreased blood flow to the lower extremities, which can be a sign of blockages or narrowing in the arteries due to atherosclerosis. ABI is primarily used to assess lower-limb functional impairment or disease severity. In addition, low ABI is associated with atherosclerosis and cardiovascular events.5
A previous study investigating the association between arterial stiffness and colorectal adenomas reported a positive relationship between elevated baPWV levels and adenomas, but did not distinguish high-risk adenomas separately.10 In another study, heart-femoral PWV, reflecting the aortic stiffness, was found to be associated with colorectal adenoma, but the baPWV showed no association.9 On the other hand, another study revealed an association between baPWV and colorectal adenoma, as well as between ABI and advanced colorectal neoplasia, including CRC.11 A recent study suggested an association of arterial stiffness, measured using baPWV, with high-risk colorectal adenoma and high-risk serrated lesions.13 These results align with those obtained using CAVI in this study, showing that arterial stiffness and atherosclerosis are associated with colorectal adenoma, and the CAVI may be useful for assessing the risk of adenoma. Multivariate analysis revealed the CAVI and smoking to have significant associations with high-risk adenomas, whereas ABI did not demonstrate a significant association. This may be because the CAVI, which measures arterial stiffness, is a more sensitive indicator of atherosclerosis than the ABI, which evaluated the peripheral vascular occlusion. The ABI was reported to have high specificity in predicting the cardiovascular outcome but did not have high sensitivity.20 Hence, normal ABI levels do not exclude high-risk patients. Nevertheless, further research with a larger number of subjects will be needed to confirm this.
Arterial stiffness, a risk factor for cardiovascular disease, is known to be mediated by insulin resistance and elevated inflammation. Therefore, arterial stiffness may affect the development of colorectal adenoma through the following mechanisms. Insulin resistance triggers hyperinsulinemia, which stimulates the production of insulin-like growth factor-1 (IGF-1).21,22 Insulin and IGF-1 promote the proliferation of cells within the colon, potentially leading to the formation of colorectal adenoma. In addition, chronic inflammation may affect the risk of colonic adenoma directly or indirectly through other risk factors.23,24 Inflammatory signals characterized by the hypermethylation of DNA methylation valleys that show reduced CpG density and active chromatin marks contribute to tumor formation.25 This, in turn, increases the likelihood of adenoma.
This study had several limitations. First, the retrospective nature of this study introduced potential biases and limited the ability to examine the causal relationship between arterial stiffness and colorectal adenomas. Second, this study was conducted among participants who visited a single hospital, which limits the generalizability of the findings. Third, the study focused on individuals aged 50 years and above who are likely to be significantly affected by atherosclerosis and arterial stiffness. Hence, generalizing the results to all age groups may be challenging. Fourth, factors influencing colorectal adenomas, such as diet, exercise, and a history of taking medications, such as aspirin and nonsteroidal anti-inflammatory drugs, were not analyzed. Finally, owing to the relatively small number of participants included, the comparatively low number of serrated lesions, except for hyperplastic polyps, could not be included in the analysis.
In conclusion, this study revealed a significant correlation between a positive CAVI and high-risk colorectal adenomas, suggesting an association with atherosclerosis. These results also suggest the potential utility of the CAVI as a significant predictor of high-risk colorectal adenoma. Further research with a larger number of subjects will be needed to explore the underlying mechanisms of the association between atherosclerosis and colorectal adenoma, as well as its implications in clinical practice.

Notes

Financial support

None.

Conflict of interest

None.

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Fig. 1
Prevalence of a positive ankle-brachial index (ABI, <0.9) and cardio-ankle vascular index (CAVI, ≥9.0) in the no adenoma, overall adenoma, and high-risk adenoma groups. ABI, ankle-brachial index; CAVI, cardio-ankle vascular index.
kjg-83-4-143-f1.tif
Table 1
Clinical Characteristics
Variable Group
No adenoma (n=551) Overall adenoma (n=613) High-risk adenoma (n=118) p-value
Age (yr) 65.41±10.47 66.09±9.88 69.03±10.10 <0.001
50–59 186 (33.8) 202 (33.0) 36 (30.5)
≥60 364 (66.2) 411 (67.0) 82 (69.5)
Gender (male) 302 (54.8) 424 (69.2) 83 (70.3) <0.001
BMI 24.50±3.05 24.68±2.80 24.77±2.81 0.015
<25 kg/m2 325 (58.6) 333 (54.7) 63 (53.4)
≥25 kg/m2 230 (41.4) 276 (45.3) 55 (46.6)
Lipid profile (mg/dL)
Triglycerides 143.03±97.97 146.63±107.53 143.21±132.86 0.782
Total cholesterol 164.84±42.20 165.43±43.16 160.89±41.54 0.543
HDL cholesterol 48.86±13.80 45.89±11.94 48.53±13.38 0.085
LDL cholesterol 95.58±50.79 94.82±40.77 91.99±35.95 0.981
Smoking <0.001
Unknown and none 380 (68.5) 335 (55.0) 59 (50.0)
Current and ex-smoker 175 (31.5) 274 (45.0) 59 (50.0)
Alcohol <0.001
Unknown and none 407 (73.3) 383 (62.9) 78 (66.1)
Consumption 148 (26.7) 226 (37.1) 40 (33.9)
HbA1c 6.09±0.82 6.11±0.73 6.25±0.69 0.182
Diabetes mellitus 168 (30.3) 194 (31.9) 47 (39.8) 0.560
Hypertension 365 (65.8) 404 (66.3) 87 (73.7) 0.837
Hyperlipidemia 350 (63.1) 381 (62.6) 74 (62.7) 0.903
Cardiac disease 147 (26.5) 170 (27.9) 36 (30.5) 0.598
Respiratory disease 27 (4.9) 26 (4.3) 7 (5.9) 0.481
Kidney disease 17 (3.1) 12 (2.0) 6 (5.1) 0.262
Cerebrovascular accident 15 (2.7) 18 (2.9) 5 (4.2) 0.861
ABI (<0.9) 68 (12.3) 96 (15.7) 26 (22.0) 0.008
CAVI (≥9.0) 218 (39.6) 270 (44.0) 66 (55.9) 0.006

Data expressed as mean±standard deviation or number (%).

BMI, body mass index; HDL, high-density lipoprotein; LDL, low-density lipoprotein; HbA1c, hemoglobin A1c, ABI, ankle-brachial index; CAVI, cardio-ankle vascular index.

Table 2
Univariate and Multivariate Logistic Regression Analysis of Variables for the Overall Adenoma
Variable Univariate analysis Multivariate analysis
OR (95% CI) p-value OR (95% CI) p-value
Age (yr)
50–59 1
≥60 1.040 (0.815–1.327) 0.755
Gender (male) 1.850 (1.455–2.351) <0.001 1.636 (1.276–2.096) <0.001
BMI (≥25 kg/m2) 1.159 (0.919–1.462) 0.213
ABI (<0.9) 1.319 (0.944–1.843) 0.105
CAVI (≥9.0) 1.202 (0.952–1.519) 0.122
Triglycerides 1.000 (0.999–1.001) 0.972
Total cholesterol 1.000 (0.998–1.003) 0.858
HDL cholesterol 0.999 (0.991–1.008) 0.831
LDL cholesterol 0.999 (0.997–1.002) 0.689
Smoking (current and ex-smoker) 1.817 (1.428–2.310) <0.001 1.488 (1.140–1.942) 0.003
Alcohol consumption 1.590 (1.239–2.041) <0.001 1.263 (0.960–1.660) 0.095
HbA1c 1.061 (0.914–1.232) 0.433
Diabetes mellitus 1.126 (0.878–1.444) 0.351
Hypertension 1.047 (0.822–1.336) 0.708
Hyperlipidemia 0.986 (0.777–1.251) 0.906
Cardiac disease 1.073 (0.829–1.390) 0.593
Respiratory disease 0.860 (0.495–1.492) 0.591
Kidney disease 0.627 (0.297–1.325) 0.222
Cerebrovascular accident 1.081 (0.539–2.166) 0.826

OR, odds ratio; CI, confidence interval; ABI, ankle-brachial index; CAVI, cardio-ankle vascular index; BMI, body mass index; HDL, high-density lipoprotein; LDL, low-density lipoprotein; HbA1c, hemoglobin A1c.

Table 3
Univariate and Multivariate Logistic Regression Analysis of Variables for the High-risk Adenoma
Variable Univariate analysis Multivariate analysis
OR (95% CI) p-value OR (95% CI) p-value
Age (yr)
50–59 1
≥60 1.157 (0.766–1.747) 0.448
Gender (male) 1.486 (0.982–2.249) 0.061
BMI (≥25 kg/m2) 1.152 (0.786–1.687) 0.468
ABI (<0.9) 1.859 (1.161–2.977) 0.010 1.323 (0.794–2.205) 0.283
CAVI (≥9.0) 1.877 (1.279–2.755) 0.001 1.595 (1.055–2.410) 0.027
Triglycerides 1.000 (0.998–1.002) 0.989
Total cholesterol 0.997 (0.993–1.002) 0.280
HDL cholesterol 0.984 (0.966–1.001) 0.071
LDL cholesterol 0.998 (0.993–1.003) 0.434
Smoking (current and ex-smoker) 1.682 (1.148–2.465) 0.008 1.579 (1.072–2.324) 0.021
Alcohol consumption 1.093 (0.731–1.635) 0.665
HbA1c 1.270 (1.020–1.582) 0.330
Diabetes mellitus 1.536 (1.039–2.272) 0.032 1.298 (0.860–1.959) 0.215
Hypertension 1.498 (0.975–2.301) 0.065
Hyperlipidemia 0.996 (0.672–1.476) 0.983
Cardiac disease 1.195 (0.789–1.810) 0.400
Respiratory disease 1.371 (0.604–3.110) 0.450
Kidney disease 2.383 (0.950–5.976) 0.064
Cerebrovascular accident 1.609 (0.609–4.249) 0.337

OR, odds ratio; CI, confidence interval; ABI, ankle-brachial index; CAVI, cardio-ankle vascular index; BMI, body mass index; HDL, high-density lipoprotein; LDL, low-density lipoprotein; HbA1c, hemoglobin A1c.

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