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Abstract

Introduction

We previously reported that the prevalence of abdominal aortic aneurysms (AAAs) was higher in patients undergoing scheduled transthoracic echocardiography (TTE) than in patients undergoing abdominal ultrasonography (AUS); however, intergroup patient backgrounds differed significantly in that report.

Purpose

We tested the hypothesis that TTE could detect AAA as effectively as AUS.

Design

A propensity score-matching analysis of a cross-sectional study was adopted as the design for this study.

Methods

We enrolled 7,619 and 15,433 patients scheduled to undergo TTE with additional evaluation of abdominal aorta at the end of the routine study and AUS, respectively, from 2009 to 2010 in our hospital, as reported. A propensity score for profiles of patients who underwent TTE or AUS was developed to adjust for potential confounding bias. Consequently, 4,388 patients in each group were matched for analyses.

Results

In propensity-matched patients, AAA was detected in 59 patients of the TTE group and in 48 patients of the AUS group; the prevalence of AAA detection did not differ significantly between TTE and AUS groups (P = 0.331). Positive associations were observed between AAA detection and male sex (adjusted odds ratio [OR]: 3.25; 95% confidence interval [CI], 2.05-5.15; P < 0.001), older age (adjusted OR: 1.029; 95% CI: 1.01-1.04; P < 0.001), and the presence of ischemic heart disease (adjusted OR: 1.78; 95% CI: 1.04-3.03; P = 0.033) and hypertension (adjusted OR: 2.16; 95% CI: 1.38-3.37; P = 001).

Conclusion

TTE detected AAA with comparable efficacy as AUS in propensity-matched groups who underwent scheduled TTE and AUS.

Keywords

abdominal aortic aneurysms echocardiography transthoracic echocardiography

Introduction

An abdominal aortic aneurysm (AAA) is often a clinically silent entity unless it ruptures. Among patients with ruptured AAA, approximately 15% of patients die without intervention, 40% die after repair, and only 40% survive, despite recent advances in treatments.¹ The incidence of AAA has decreased gradually in recent years.² The prevalence of AAA varies from 0.14% to 0.5% in Asian populations^3,4 and from 1.0% to 1.7% in Western countries.^5–8 Although the mortality rate for ruptured AAA is high, the 30-day mortality rate for elective endovascular repair or surgery on nonruptured AAAs in major randomized trials is only 1.2%-5.8%.^9–12 Thus, a crucial clinical goal is to identify AAAs and treat them appropriately before they rupture.

Abdominal examination can discover the presence of AAA; however, the accuracy is low because of the retroperitoneal location of the aorta.¹³ Abdominal ultrasonography (AUS) is the primary method used for screening, allowing high sensitivity (95%) and specificity (90%).¹⁴ Although screening standards in general populations in Western countries are well published,^14–18 national screening policies have been adopted only by a few countries.¹³ In addition, the target populations recommended by such screening guidelines are inconsistent. One-time screening in men aged 65-75 years who have ever smoked and selective screening in men aged 65-75 years who have never smoked are recommended by the US Preventive Services Task Force.¹⁹ Men aged 60 years or older with a family history of AAA or men aged 65-75 years who have smoked are recommended to undergo a physical examination and ultrasound screening for AAA, according to the American College of Cardiology/American Heart Association ACC/AHA 2005 practice guidelines.¹⁶ In England, the recommendation advises one-time screening in all men aged 65 years and older.²⁰ No benefit was observed for population-based screening in women.²¹ However, subgroups of women who would benefit from screening for AAA may be identified by nonrandomized studies.²² This indicates the necessity of targeting high-risk patients for cardiovascular disease, which is still the leading cause of death in the US.²³ However, even with the aforementioned recommendations, screening is often not performed because patients and physicians may be unaware of the need. Given the low prevalence of AAA in the Asian population, targeted and efficient screening is particularly needed in this population.

Detection of AAA using transthoracic echocardiography (TTE) would involve no additional cost or additional time if the same probe is used with the patients in the supine position. TTE can be used to examine patients for AAA quickly and easily and adds only 2-5 minutes to a cardiac examination.^24,25 Routine examination of the abdominal aorta during TTE has been also reported to be useful by single-center studies^3,24–30 and one multicenter study.²⁵ However, to include the detection of AAA during TTE as a screening protocol, a comparison of TTE with AUS, one of the standard methods for the detection of AAAs, is necessary.

We have previously reported that the prevalence of AAA in Japanese patients who underwent scheduled TTE (1.8%) was higher than that of AAA in patients who underwent AUS (0.6%).²⁶ However, the background of the patients differed significantly between the TTE and AUS groups, with a greater number of males, a higher mean age, and a larger mean number of comorbidities being observed in the TTE group as compared to the AUS group.

In the present study, we tested the hypothesis that TTE could detect AAA as effectively as AUS. Using propensity score matching, we used the data from a subset of participants for the previous study²⁶ and matched the patients' background for comparisons.

Methods

Study Population

For the current study, we used the data from a subset of participants recruited for the detection of AAA, the methods of which have been previously described.²⁶ Briefly, we included 7,765 patients who underwent scheduled TTE and 15,553 patients who underwent scheduled AUS in the outpatient clinic or while hospitalized from January 2009 to December 2010 at Kitano Hospital (Fig. 1). Exclusion criteria were as follows: patients with a history of AAA (24 patients), patients whose clinical symptoms or signs were thought to be due to AAA for which a TTE was ordered (6 patients), those who underwent prior AAA repair (10 patients), and patients who did not provide consent (16 patients). In AUS, patients with a history of AAA (25 patients), patients whose clinical symptoms or signs were thought to be due to AAA for which an AUS was ordered (14 patients), and those who underwent prior AAA repair (41 patients) were excluded. In AUS, the abdominal aorta is always observed according to the practice guidelines, and consent was obtained from the patients undergoing AUS who were eligible for this study.

Figure 1.

Patient flowchart for this study.

Technical Methods of TTE

As reported previously, the indication of TTE or AUS in each patient depended on the physician ordering the examination, in accordance with practice guidelines. At the end of the routine TTE examination, the abdominal aorta was visualized with the patient in the supine position using the two-dimensional mode with color Doppler. First, a longitudinal image of the abdominal aorta was obtained; then, the sector-type transducer was rotated 90^° clockwise to scan the central line of the abdominal aorta, which was traced distally from the subxiphoid window to the level of the bifurcation of the common femoral arteries, as reported previously by us²⁶ and others.^3,29 The definition of AAA was an abdominal aorta measuring >30 mm in diameter or a 50% increase in diameter as compared to a normal aorta.

Data Collection

TTE and AUS data were recorded in an ultrasonographic database. We collected comorbidities using the electronic medical record database. Comorbidities included ischemic heart disease, cerebrovascular diseases, hypertension, diabetes mellitus, and hyperlipidemia. Comorbidities were regarded to be present when the diagnoses were recorded in the hospital charts. The research protocol was approved by the Institutional Review Board of Kitano Hospital according to the ethical guidelines of the 1975 Declaration of Helsinki.

Generation of Propensity Score

In order to compare the TTE and AUS groups, we developed a propensity score for the profiles of patients who underwent TTE or AUS for a potential confounding bias. Specifically, a multivariate logistic regression model was fitted with TTE or AUS as a dependent variable, which included age, sex, numbers of comorbidities, and the presence of each comorbidity. The model was assessed by the Hosmer–Lemeshow test (P = 1.00), and the results indicated matching goodness of fit. The area under the curve was 0.817 (95% confidence interval [CI]: 0.812-0.822). Consequently, 4,388 patients in each group were matched for analyses.

Statistics

Continuous variables were expressed as the mean ± standard deviation. Categorical variables were expressed as a number or as a percentage (%). In comparisons of the baseline characteristics of the study population, the chi-square test was used for categorical variables and the Mann–Whitney test for continuous variables when appropriate. When there were two crossed factors, differences in continuous variables between the TTE and AUS groups were analyzed with a two-way factorial ANOVA followed by post-hoc comparisons with the Bonferroni test; differences in categorical variables were analyzed using the Cochran–Mantel–Haenszel test. After propensity score matching, differences in continuous variables between the TTE and AUS groups were assessed using the paired t-test, while differences in categorical variables were analyzed using the Cochran–Mantel–Haenszel test. Odds ratios (ORs) were calculated using multivariate logistic regression after adjustment for propensity scores and all covariables. In all tests, values of P < 0.05 were considered statistically significant.

Results

Characteristics of the study population and comparison with the propensity-matched population

A total of 7,619 and 15,433 patients, all Asian, were enrolled during scheduled TTE and AUS, respectively. Demographic data for the study populations are summarized in Table 1, as previously reported.²⁶ In the propensity-matched patients, no differences were noted for age (P = 1.00), the prevalence of males (P = 1.00), the number of comorbidities (P = 1.00), and the presence of each comorbidity (P = 1.00) between the TTE and AUS groups. AAA was detected in 59 patients in the TTE group and 48 patients in the AUS group (Table 1), and the prevalence of the detection of AAA did not differ between the TTE and AUS groups (P = 0.331).

Table 1.

Patient characteristics before and after the propensity matching.

	TTE	AUS	P VALUE	TTE	AUS	P VALUE
Total number	(n = 7,619)	(n = 15,433)		(n = 4,388)	(n = 4,388)
Age (mean, SD)	66.1 (15.1)	52.9 (17.5)	<0.001	63.8 (14.4)	63.8 (14.4)	1.000
Male (%)	52.4	41.1	<0.001	50	50	1.000
Number of comorbidities (mean, SD)	1.74 (2.08)	0.09 (1.08)	<0.001	0.63 (1.18)	0.63 (1.18)	1.000
Comorbidities (%)
Ischemic heart diseases (%)	30.9	10.5	<0.001	7.6	7.6	1.000
Cerebrovascular diseases (%)	25.3	9.1	<0.001	3.5	3.5	1.000
Hypertension (%)	54.6	21.0	<0.001	32.6	32.6	1.000
Diabetes mellitus (%)	28.5	19.0	<0.001	13.2	13.2	1.000
Hyperlipidemia (%)	27.8	13.4	<0.001	5.8	5.8	1.000
Number of AAA detected (%)	136 (1.78)	96 (0.62)	<0.001	59 (1.34)	48 (1.09)	0.331

Factors Associated with AAA in Patients who Underwent TTE

After adjusting for the covariables and propensity scores, positive associations were observed between AAA detection and male sex (adjusted OR, 3.25; 95% CI, 2.05-5.15; P < 0.001), older age (adjusted OR, 1.03; 95% CI, 1.01-1.04; P < 0.001), and the presence of ischemic heart disease (adjusted OR, 1.78; 95% CI, 1.04-3.03; P = 0.033) and hypertension (adjusted OR, 2.16; 95% CI, 1.37-3.38; P = 0.010, Table 2).

Table 2.

Odds ratio of the presence of AAA in the TTE group adjusted by covariables and propensity scores. The bullets indicate odds ratio and bars indicate 95% confidence interval (CI) of odds ratio.

Discussion

We observed that TTE detected AAA comparably with AUS in propensity-matched groups containing participants who underwent scheduled TTE and AUS. Considering that patients who underwent scheduled TTE had multiple comorbidities related to atherosclerosis and a higher prevalence of AAA than those who underwent scheduled AUS, we consider that routine examination for AAA during clinical scheduled TTE might be clinically useful in patients undergoing scheduled TTE for any reason.

Propensity Score Matching of the Two Study Populations

A clear selection bias existed in patients who underwent TTE and AUS, as previously reported²⁵; this is shown in Table 1 before matching, although patients came from the same community. Within the same population, because AUS is believed to be acceptable as the standard diagnostic test with a high sensitivity and specificity for AAA, its diagnostic accuracy was considered to be high. To our knowledge, no study has assessed the same population for AAA by TTE and a standard diagnostic method. Further, we generated propensity scores, which included age, sex, numbers of comorbidities, and the presence of each comorbidity. After the propensity matching, the presence of AAA detected was compared between the groups. TTE detected AAA comparably with AUS in this matched group; however, the confounding factors that were not recorded and adjusted in the present study may have influenced the observed prevalence of AAA in both the groups.

Comparison of TTE with AUS

Because the sector-type probe used in screening for AAA during TTE has fewer ultrasonic transducer lines than the convex-type probe typically used in AUS, the diagnostic quality of the image might be poorer as compared to the image obtained by AUS, especially in the case of obese patients. However, using TTE, a reliable image is obtained 75%-97% of the time in echocardiography laboratories.^3,24,27 The accurate sensitivity and specificity of TTE could not be determined in the present study, for which sequential measurements in the same patient would be necessary, which is the future perspective and beyond the scope of the present study.

Risk Factors and Their Clinical Relevance

In our study, the risk factors associated with AAA were male sex, older age, and the presence of ischemic heart disease and hypertension. This is consistent with a meta-analysis for the prevalence of AAA; however, the reports on the associated risk factors are limited (12 studies among 56 studies analyzed),³¹ and only one study³ has been reported among the Asian population. Routine screening for AAA during clinical TTE provided a low yield (1.8% in the unmatched TTE group) in our study, probably due to a low prevalence (0.5%) of AAA in the general Asian population. Moreover, the genetic background may differ according to the ethnicity due to the presence of polymorphisms related to hypertension.^32–34 Other risk factors for cardiovascular disease, such as microRNAs, should also be evaluated.^35,36 There is good evidence of the important disadvantages of screening in the general population and early treatment, including an increased number of surgeries with an associated increase in clinically significant morbidity and mortality and short-term psychological adverse effects³⁷; however, multiple comorbidities related to atherosclerosis were observed in patients who underwent scheduled TTE. Hence, additional examination of the abdominal aorta during scheduled TTE might be an efficient method for assessing patients at high risk for AAA.^3,24–26,29

Limitations

This study has certain limitations. We recognize that the confounding factors that were not recorded or adjusted in the present study may have influenced the observed prevalence of AAA in both the groups. Further, because data were collected from an electronic medical database, information regarding smoking³⁸ and family history was lacking. Furthermore, data for blood chemistry and blood pressure were also lacking.

Second, this study was not a screening study for the general population in Japan, but an observational study for a specific population in our hospital who underwent scheduled TTE and AUS. Further, we generated a propensity-matched score in order to compare the prevalence of AAA detected in this population. Generalization of this method for screening would require further validation of the sensitivity and specificity of TTE for identifying AAA in the general population.

Third, the validity of the additional examination of abdominal aorta during clinically scheduled TTE should be tested by assessing its effects on morbidity and mortality, socioeconomic effects, and short-term psychological issues. In terms of the feasibility of the procedure,²⁵ patients routinely expose the anterior chest and abdominal area for TTE. Sonographers can screen the abdominal aorta from the subxiphoid window to the level of the bifurcation of the common femoral arteries quickly after examining the heart with a single probe without additionally asking patients to expose the abdominal area. Although data related to time were not collected in the present study, Aboyans et al.²⁵ reported a median delay of 1.7 minutes.

Conclusion

TTE detected AAA with efficacy comparable to that of AUS in propensity-matched groups who underwent scheduled TTE and AUS. This preliminary result suggested that additional examination of the abdominal aorta during scheduled TTE would be an efficient technique for detecting AAA in patients scheduled to undergo TTE, although further studies are required for the accurate assessment of the sensitivity and specificity of TTE in the general population as well as for validating its effects on morbidity, mortality, and other issues in specific populations undergoing clinically scheduled TTE.

Author Contributions

Conceived and designed the study: TK, SM, MI. Analyzed the data: TK, SI, TI, YB, JF, EN, TI, TH, KU, RN. Contributed to the writing of the manuscript: TK. Made critical revisions and approved final version: TK, MI. All authors reviewed and approved of the final manuscript.

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A Propensity Score-Matching Analysis of Transthoracic Echocardiography and Abdominal Ultrasonography for the Detection of Abdominal Aortic Aneurysms

Abstract

Introduction

Purpose

Design

Methods

Results

Conclusion

Keywords

Introduction

Methods

Study Population

Technical Methods of TTE

Data Collection

Generation of Propensity Score

Statistics

Results

Characteristics of the study population and comparison with the propensity-matched population

Factors Associated with AAA in Patients who Underwent TTE

Discussion

Propensity Score Matching of the Two Study Populations

Comparison of TTE with AUS

Risk Factors and Their Clinical Relevance

Limitations

Conclusion

Author Contributions

References