BioMed Research International
Volume 2020 (2020), Article ID 9879463, 7 pages
https://doi.org/10.1155/2020/9879463

Review Article

Diagnostic Role of Carotid Intima-Media Thickness for Coronary Artery Disease: A Meta-Analysis

Dianmei Liu, Caiju Du, Weiguang Shao, and Guifeng Ma

Imaging Center, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Kuiwen District, Weifang, 261031 Shandong Province, China

Correspondence should be addressed to Caiju Du; ducjcj@126.com

Received 23 August 2019; Revised 7 January 2020; Accepted 16 January 2020; Published 27 February 2020

Academic Editor: Sebastian Kelle

Copyright © 2020 Dianmei Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Background. The present meta-analysis was conducted to confirm whether carotid intima-media thickness (IMT) could serve as an accurate diagnostic method for coronary artery disease (CAD). Methods. Databases of PubMed, Google Scholar, and Embase were searched for potential articles. The articles were selected according to inclusion criteria. Pooled sensitivity and specificity with corresponding 95% confidence interval (CI) were used to confirm the diagnostic role of IMT for CAD. and value were used to assess the existence of heterogeneity. or indicated significant heterogeneity. Area under the curve (AUC) of summary receiver operating characteristics (SROC) represented the diagnostic accuracy of IMT. Sensitivity analysis was performed to evaluate the robustness of pooled outcomes. Deek’s funnel plot was drawn to detect potential publication bias. Results. 22 eligible articles were selected in the present meta-analysis. Pooled sensitivity and specificity of IMT for diagnosing CAD were 0.68 (0.57–0.77) and 0.70 (0.64–0.75), respectively. The corresponding AUC was 0.74 (0.70–0.78). Subgroup analyses based on cutoff value of IMT were performed. A cutoff value of 1 mm was demonstrated to be much more accurate diagnostic criteria for CAD (sensitivity: 0.66; specificity: 0.79; AUC: 0.80). Sensitivity analysis indicated that the pooled results were robust. Deek’s funnel plot indicated no significant publication bias (). Conclusion. Carotid IMT may serve as an accurate diagnostic tool. A cutoff value of 1 mm seems to provide much more accurate diagnostic results for CAD.

1. Introduction

Coronary artery disease (CAD) is regarded as one cause of death around the world. Hypertension, diabetes, fibrinogen, low-density lipoprotein cholesterol, and smoking are common risk factors for CAD [1]. These traditional risk factors are reported to be weak predictors of CAD [2]. Coronary angiography is commonly performed before valve surgery in most patients older than 35 years old [3]. It remains the gold standard for assessing the degree of coronary atherosclerosis. However, this invasive method is related with nonnegligible morbidity, especially for the patients with inconstant hemodynamic variables. Thus, it is urgent to explore noninvasive screening method for diagnosing CAD patients.

More recently, intima-media thickness (IMT) of the common carotid artery has been suggested as quick, noninvasive, and reproducible marker for CAD [4–7]. IMT is usually assessed by quantifying the distance between the echogenic media-adventitia layer and the echogenic lumen-intima layer with B-mode ultrasound images [8]. It is regarded as a marker predicting early stages of atherosclerotic process and related with the occurrences of cardio-/cerebrovascular events and cardiovascular outcomes [9–11]. In addition, it has been demonstrated to be correlated with the coronary risk factors including smoking, sex, diabetes, hypertension, and cholesterol [12–14]. Besides, IMT could predict the severity of CAD. A previous study by Kablak-Ziembicka et al. concluded that CAD patients had high IMT compared with healthy controls. Moreover, patients with more advanced CAD had higher IMT [15]. Although a significant association between IMT and the development of CAD had been observed in several studies, the exact role of IMT in the clinical screening of CAD has yet to be established.

Our meta-analysis was performed to extract a definitive conclusion about the diagnostic role of IMT for CAD. The analysis contributed to extensive application of IMT in a clinic.

2. Materials and Methods

2.1. Article Search

The potential articles were searched on the databases of PubMed, Google Scholar, and Embase up to April 2017. The keywords were “carotid intimamedia” OR “intima-media thickness” AND “coronary artery disease” OR “CAD” OR “myocardial infarction” OR “ischaemic heart disease.” Their combinations of these keywords were also used during search. The references of obtained articles were checked for potential valuable articles. Only the articles in English were considered.

2.2. Inclusion Criteria

We selected the articles according to inclusion criteria. The inclusion criteria were as follows: (a) carotid intima-media thickness (IMT) was used to diagnose CAD, myocardial infarction, or ischaemic heart disease and (b) numbers of patients and controls, sensitivity, specificity or true positive (TP), false negative (FN), false positive (FP), and true negative (TN) were provided. The review articles and case reports were excluded from the analysis.

2.3. Data Extraction

The following data was extracted: name of first author; year of publication; country; number of patients and healthy controls; cutoff value; area under the curve (AUC) of IMT; diagnostic TP, FN, FP, and TN; or any data available for calculating them. Two authors were responsible for extracting data, and they independently performed the process. For the articles with the same population, the much more comprehensive one was selected.

2.4. Statistical Analysis

Data analysis was performed with Stata 12.0 software. Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) criteria were applied to evaluate the quality of the included articles. Diagnostic sensitivity and specificity with corresponding 95% confidence interval (CI) were applied to figure out the diagnostic role of IMT for CAD. and value were used to assess the existence of heterogeneity. or indicated significant heterogeneity. The AUC of summary receiver operating characteristics (SROC) was used to evaluate the diagnostic accuracy of IMT for CAD. Sensitivity analysis was performed to evaluate the robustness of pooled outcomes. Deek’s funnel plot was adopted to assess potential publication bias.

3. Results

3.1. Article Selection Process

A total of 201 relevant articles were obtained after search. Then, the abstract and titles were screened, and 105 articles were removed for review articles, other diagnostic methods for CAD, and investigating IMT value in CAD patients and healthy controls. For the remaining articles, their full texts were evaluated for eligibility. During evaluation, 74 articles were removed for unavailable data and other carotid index rather than IMT in diagnosing CAD. Finally, 22 eligible articles were selected [7, 16–36] (Figure 1). The basic information of selected articles is shown in Table 1. The quality of included studies is shown in Figure 2.

Figure 1: Selection process of eligible articles. A total of 22 articles were selected in the present meta-analysis.

Table 1: Basic information of included articles.

Author
Year
Country
Sample size
Cutoff (mm)
AUC

Lisowska
2009
Poland
231
—
—

Kamran
2014
Iran
500
Right: 0.82; left: 0.85
Right: 0.70; left: 0.70

Nicola
2014
Italy
446
0.80
—

Ikeda
2013
Japan
370
1
0.648

Sait
2003
Turkey
233
—
—

Amer
2015
Canada
217
0.82
0.611

Maciej
2015
Poland
412
0.76
0.716

David
2017
Ireland
35
0.9

Mauro
2007
Italy
35
1
0.885

Ana
2013
Portugal
300
0.85
0.638

Nobutaka
2012
Japan
501
0.9
0.791

Geroulakos
1994
UK
75
0.85
—

Alberto
2000
Italy
150
0.83
—

John
2000
Greece
224
0.8
—

Laurent
2002
France
152
0.55
—

Yoshihiro
2004
Japan
205
1.1
—

Dariusch
2005
Germany
151
1
—

Mehmet
2006
Turkey
144
0.8
—

Yoshihiro
2007
Japan
103
0.88
0.92

Anna
2008
Poland
277
0.933; 1.075
0.817

Iana
2008
Bulgaria
146
0.81
0.71

Harmony
2010
America
150
0.9
—

Note: UK: United Kingdom; IMT: intima-media thickness; CAD: coronary artery disease; AUC: area under the curve.

Figure 2: QUADAS criteria for quality evaluation of included studies.

3.2. Diagnostic Accuracy of IMT for CAD

As shown in Figure 3, the sensitivity and specificity of IMT for diagnosing CAD were 0.68 (0.57–0.77) and 0.70 (0.64–0.75), respectively. The corresponding AUC was 0.74 (0.70–0.78) (Figure 4).

Figure 3: Diagnostic sensitivity and specificity of carotid IMT for CAD. The sensitivity and specificity were 0.68 and 0.70, respectively.

Figure 4: SROC analysis. AUC was 0.74 (95% CI: 0.70–0.78).

3.3. Subgroup Analyses Based on the Cutoff Value of IMT

The results are shown in Table 2. If the cutoff value of , the diagnostic sensitivity and specificity of IMT for diagnosing CAD were 0.66 (0.15–0.95) and 0.66 (0.51–0.78). The AUC was 0.69 (0.64–0.73). If the cutoff value of IMT is between 0.8 and 1 mm, the diagnostic sensitivity and specificity of IMT for diagnosing CAD were 0.71 (0.64–0.77) and 0.67 (0.58–0.75). The corresponding AUC was 0.75 (0.71–0.78). If the cutoff value of , the diagnostic sensitivity and specificity of IMT for diagnosing CAD were 0.66 (0.48–0.80) and 0.79 (0.69–0.86). The AUC was 0.80 (0.76–0.83).

Table 2: Subgroup analyses.

Subgroup
Sensitivity
95% CI
Specificity
95% CI
AUC
95% CI

≤0.8 mm
0.66
0.15–0.95
0.66
0.51–0.78
0.69
0.64–0.73

0.8–1 mm
0.71
0.64–0.77
0.67
0.58–0.75
0.75
0.71–0.78

≥1 mm
0.66
0.48–0.80
0.79
0.69–0.86
0.80
0.76–0.83

3.4. Sensitivity Analysis

Sensitivity analysis was performed, and the analysis indicated that the pooled results were robust.

3.5. Publication Bias Detection

Deek’s funnel plot was drawn to detect potential publication bias. No significant publication bias was observed () (Figure 5).

Figure 5: Deek’s funnel plot for publication bias. No significant publication bias was observed in the present meta-analysis ().

4. Discussion

It is commonly thought that atherosclerosis is a generalized disease, which mainly occurs in the early decades of life [37]. Coronary and carotid arteries are the two most common sites related with atherosclerosis [38]. The relationship of coronary and carotid atherosclerosis has been confirmed [39]. Carotid IMT is regarded as a marker of atherosclerosis. Previous studies have suggested that IMT would increase with hypertension, diabetes mellitus, hyperlipidaemia, age, sex, percentile, and population and other factors that are closely related with CAD [9, 40–42].

There are many methods to evaluate the arteries’ condition. Coronarography is the golden standard for diagnosis of coronary artery atherosclerosis. However, coronarography is invasive with a definite risk. IMT is a well-described marker for cardiovascular disease, and enhanced IMT is correlated with the development of CAD and stroke [43, 44]. IMT more than 1 mm is correlated with a twofold increased risk of CAD in men and fivefold increased risk in women [1].

Until now, the diagnostic role of IMT for CAD is controversial. In the study by Lisowska et al., the relationship of IMT and the extent of CAD was evaluated, and the results indicated that the diagnostic sensitivity of IMT was 91%, while the specificity was 65% [16]. Belhassen et al. assessed the value of carotid IMT in ruling out significant CAD in patients for heart valve surgery and concluded that IMT had 100% sensitivity and 50% specificity in diagnosis of CAD [29]. Kanadaşi et al. obtained similar outcome [32]. In their analysis, the diagnostic sensitivity was merely 14.3%, while specificity was 86.4%. However, there exists remarkable difference in the results about sensitivity and specificity. The research conducted by Zhang et al. reported that the cutoff value of IMT was 1 mm and the corresponding sensitivity and specificity were 31.91% and 90.52% [4]. Murphy et al. found that the sensitivity and specificity of carotid were 50% and 96% [23]. In contrast, the results of Matsushima et al. were moderate [30]. A cutoff value of 0.88 mm of IMT provided 88% sensitivity and 90% specificity. The results of our analysis suggested that the diagnostic sensitivity and specificity were 68% and 70%. The corresponding AUC was 0.74. Meanwhile, subgroup analysis by the cutoff value of IMT was also performed. A cutoff value of provided 66% sensitivity and 66% specificity. A cutoff value of IMT between 0.8 and 1 mm provided 71% sensitivity and 67% specificity. A cutoff value of provided 66% sensitivity and 79% specificity. Our analysis was performed based on 22 relevant articles. The involved countries included Poland, Iran, Italy, Japan, Turkey, Canada, Ireland, Portugal, UK, Greece, Germany, and America. Moreover, these studies were all well-designed researches. The processes of extracting data and analyzing data were all carefully performed by two independent authors. Thus, the pooled results were credible and reliable. However, the limitations should be mentioned. First, there were less studies involving Asian population compared with Caucasian population, which might affect the applicability of the results in Asian population. Second, there existed significant heterogeneity in the sensitivity and specificity analyses. It might result from the difference in the territory, performance, patients’ status, and cutoff value of IMT.

5. Conclusion

In conclusion, carotid IMT is suggested to be a practical tool for screening CAD. The results will help us understand the clinical status of IMT in diagnosis of CAD.

Conflicts of Interest

No conflict of interest exists.

Authors’ Contributions

Dianmei Liu and Caiju Du contributed to the conception and design; Dianmei Liu and Weiguang Shao were involved in the analysis and interpretation of data; Dianmei Liu contributed to the writing of the manuscript; Weiguang Shao and Guifeng Ma revised the manuscript critically for the intellectual content. All the authors approve the final version to be published and agree to be accountable for all aspects of the work.

Acknowledgments

We are indebted to the authors of the primary studies. This study was supported by a grant from Science and Technology Development Plan Project in Medicine and Health Care of Shandong Province (No. 2015WS0044) and Shandong University Research Project (No. J18KA283).

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