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Journal of Clinical Medicine Research

Original Article

Volume 9, Number 5, May 2017, pages 439-445

Cardio-Ankle Vascular Index and C-Reactive Protein Are Useful Parameters for Identification of Ischemic Heart Disease in Acute Heart Failure Patients

Acute heart failure (AHF) is a leading cause of morbidity and mortality in industrialized countries [1]. Therefore, the diagnosis, prevention and treatment of AHF are important. Treatment of heart failure (HF) differs with the presence of ischemic heart disease (IHD). We diagnose IHD using coronary artery angiography (CAG), multi-detector row computed tomography (MDCT) or nuclear cardiology test. These tests need to be performed after the improvement of AHF, because contrast media is necessary in CAG and MDCT, and nuclear cardiology test involves drug or exercise stress. Non-invasive examinations for IHD evaluation could result in effective treatments for HF.

In addition, cardio-ankle vascular index (CAVI), which is less influenced by blood pressure (BP), is a useful parameter for detecting arteriosclerosis [2]. CAVI can be calculated from pulse wave velocity (PWV) at the origin of the aorta to the ankle portion of the tibial artery, and systolic and diastolic BPs (sBPs and dBPs) measured at the upper brachial artery. This index was originally derived from stiffness parameter β. Previous studies revealed the relationship between CAVI and IHD [3, 4]. This study also shows that CAVI was significantly higher in 1 vessel disease (VD) group compared to the 0 VD group (P < 0.05), and was significantly higher in the 2 VD and 3 VD groups compared to the 1 VD group. However, the relationship between IHD and CAVI in HF patients is still unclear. The aim of this study was to investigate its effectiveness of non-invasive examinations, including CAVI, to detect IHD in AHF patients.

All experiments were performed in accordance with the Declaration of Helsinki and were approved by the Toho University Omori Medical Center Ethical Committee (25-193).

We studied 329 consecutive patients hospitalized for AHF from January 2009 to December 2012 at Toho University Omori Medical Center. The inclusion criteria were 1) hospitalization due to AHF at first time, and 2) patients have undergone ankle-brachial index (ABI) and CAG within hospitalization. The exclusion criteria were as follows: 1) age: under 29 years and over 85 years, 2) chronic HF patients with acute exacerbation, 3) serum troponin I (TnI) over 2.0, 4) hemodialysis patients, 5) past history of vascular disease, 6) past history of cardiovascular operations and/or cardiovascular catheter examinations, and 7) ABI under 0.9 and over 1.3. Finally, 53 patients became subject of this study and were divided into IHD group (n = 19) and non-IHD group (n = 34) by CAG.

We analyzed coronary artery using CAG after the improvement of HF. Visual assessment of the stenotic lesion was undertaken based on the American Heart Association classification. The percentage ratio of the stenotic lumen to the original vessel diameter of the lesion analogized by a presumed-to-be-healthy site distal and proximal to the stenosis was obtained and the degree of stenosis was expressed by subtracting this from 100. Out of end-diastolic still images taken from multiple projections and measurements were taken in the angle showing the greatest degree of stenosis to classify the lesion into six stages: 25% for stenosis of 0-25%, 50% for 26-50%, 75% for 51-75%, 90% for 76-90%, 99% for 91-99%, and 100% for total occlusions. Lesions with stenosis of 75% or more were defined to be significant stenotic lesions and were divided into IHD group.

Age, sex (male percentage), sBP and dBP, and heart rate (HR) were evaluated. BP and HR were measured at the time of hospitalization. And, we also analyzed New York Heart Association classification (NHYA).

We measured lipid metabolism, glycemic metabolism, liver and renal functions, myocardial damage markers, brain natriuretic peptide (BNP) and C-reactive protein (CRP). Total cholesterol (T-Cho), triglyceride (TG) and high-density lipoprotein-cholesterol (HDL) were measured as lipid metabolism. Low-density lipoprotein-cholesterol (LDL) and non-HDL were calculated with the formula: LDL = T-Cho - HDL - TG/5 and non-HDL = T-Cho - HDL, respectively [5, 6]. Fasting blood glucose (FBS) and hemoglobin A1C (HbA1C) were measured as glycemic metabolism. We evaluated liver functions by albumin, total-bilirubin, aspartate transaminase, aspartate aminotransferase and lactate dehydrogenase. Renal functions were evaluated by blood urea nitrogen and creatinine. We measured creatine kinase (CK), CK muscle and brain (CK-MB) and TnI as myocardial damage markers. All serum samples were obtained at the time of hospitalization.

We analyzed standard 12-lead ECG at hospitalization. Analysis of the ECG findings was performed with visual inspection of two cardiologists. Ischemic change of ECG was defined as: 1) down-slope or horizontal ST depressions, 2) ST elevations, 3) T wave abnormalities, including negative T wave, and 4) abnormal Q wave and poor R progression [7]. And, we also checked heart rhythms.

TTE was investigated within 2 days of admission. Left ventricular (LV) systolic function was evaluated with ejection fraction from the Teichholz method [8], or modified Simpson’s method [9]. Visual regional wall motion was interpreted according to the American Society of Echocardiography criteria with a 17-segment model [10]. Regional myocardial contractile function was graded as normal, hypokinesis, akinesis, or dyskinesis for each myocardial segment. Regional wall motion abnormalities were evaluated with two cardiologists.

CAVI and ABI were measured according to the methods described previously, using a VaSera VS-1500E manufactured by Fukuda Denshi Company, Ltd (Tokyo, Japan) [11]. CAVI and ABI were evaluated after the improvement of HF and measured in the morning after 12 h of fasting. Their electrocardiogram and heart sounds were monitored after the patients kept in the dorsal position comfortably for at least 10 min. Cuffs were applied to the bilateral upper arms and ankles. PWV was obtained by dividing vascular length by the time taken for the pulse wave to propagate from the aortic valve to the ankle. The formula used to calculate CAVI was as follows: CAVI = a((2ρ × 1/(sBP - dBP)) × (In(sBP/dBP) × PWV2)) + b, where ρ is blood density, and a and b are constants to match aortic PWV [11]. We calculated the average of right and left CAVI.

Continuous variables were expressed as mean ± standard deviation. We compared between both groups by unpaired Student’s t-test. Statistical significance was considered at P < 0.05 in all instances. We investigated the receiver operating characteristic (ROC) curve, which is defined as a plot of sensitivity versus its 1-specificity or false positive rate. The ROC was analyzed with a Windows computer (Excel (Microsoft XP)) and EZR (Saitama Medical Center, Jichi Medical University), which is a graphical user interface for R (The R Foundation for Statistical Computing, Vienna, Austria, version 2.13.0) [12].

The clinical profile of the patients is summarized in Table 1. There were also no differences in average age and gender. In addition, there were also no significant differences of sBP, dBP and HR. The prevalence of diabetes mellitus (DM) in IHD group was significantly higher than in non-IHD group. DM was diagnosed with administration of glucose lowering medications or diagnostic criteria of the Japanese Diabetes Society. Most of the patients, who have DM or other life style related diseases, were treated with diet and/or exercise, therefore, no significant differences were shown in the use of BP, lipid and glucose lowering drugs between both groups.

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Table 1. Clinical Profiles Between Both Groups

In laboratory findings, no significant differences were shown in liver and renal functions (Table 2). In addition, there were also no differences in lipid metabolism. There were no significant differences, although HbA1C in IHD group was higher than in non-IHD group. At the time of hospitalization, no significant difference was seen in the levels of HF evidenced with NYHA and BNP between both groups. Moreover, no difference was indicated in myocardial damage markers either. On the other hand, CRP in IHD group was significantly higher than in non-IHD group (1.5 ± 2.1 mg/dL vs. 0.4 ± 0.4 mg/dL, P < 0.001, Table 2). We investigated the correlation between CRP and IHD. By using the ROC curve, we investigated the possibility for CRP to detect IHD. The cut-off point that gave the maximal sensitivity and specificity for CRP was 1.7 (Fig. 1a). The sensitivity and the specificity for CRP were 97.0% and 36.8%, respectively. AUC and 95% confidence interval (CI) were 0.625 and 0.461 - 0.79, respectively.

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Table 2. Laboratory Findings Between Both Groups

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Figure 1. (a) Receiver operating curve of CRP for detection of the IHD group. The cut-point value was 1.7. AUC and 95% CI were 0.625 and 0.461 - 0.79, respectively. (b) Receiver operating curve of CAVI for detection of the IHD group. The cut-point value was 9.25. AUC and 95% CI were 0.752 and 0.615 - 0.89, respectively.

Five patients have atrial fibrillation (AF) and/or atrial flutter (AFL) in IHD group, while eight patients have AF and/or AFL in non-IHD group. All patients did not have ST elevation and abnormal Q wave in this study. Other ischemic changes of ECG were shown in two and three patients of IHD and non-IHD group. These ECG findings showed no significant differences between both groups. There were also no significant differences in TTE parameters (Table 3). Regional wall motion abnormalities were found in five and zero patients of IHD and non-IHD group, respectively. CAVI in IHD group was significantly higher than in non-IHD group (9.58 ± 1.73 vs. 7.83 ± 1.86, P < 0.001), although there were no differences in ABI between both groups (Table 3). We investigated the possibility for CAVI to detect IHD, using ROC curve. The cut-off point that gave the maximal sensitivity and specificity for CAVI was 9.25 (Fig. 1b). The sensitivity and the specificity for CAVI were 85.3% and 57.9%, respectively. AUC and 95% CI were 0.752 and 0.615 - 0.89, respectively.

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Table 3. CAVI and Echocardiographic Findings Between Both Groups

We also investigated the CRP plus CAVI, because of the low specificity for CAVI. The CRP plus CAVI in IHD group was significantly higher than in non-IHD group (11.09 ± 2.45 vs. 8.20 ± 1.85, P < 0.001, Fig. 2a). The sensitivity and the specificity for the CRP plus CAVI were 69.7% and 89.5% at the cut-off point for the CRP plus CAVI (9.00) (Fig. 2b). AUC was 0.839, which was the greatest among all parameters. 95% CI was 0.719 - 0.959. AUC of the CRP plus CAVI was significantly higher than that of CRP and CAVI (P = 0.033 and P = 0.042, respectively).

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Figure 2. (a) The CRP plus CAVI in IHD group was significantly higher than in non-IHD group (11.09 ± 2.45 vs. 8.20 ± 1.85, P < 0.001). (b) Receiver operating curve of CAVI plus CRP for detection of the IHD group. The cut-point value was 9.00. AUC and 95% CI were 0.839 and 0.719 - 0.959, respectively.

Previous study reported that all-cause mortality rate and hospitalization rate at 1 year in AHF patients were 17.4% and 43.9%, respectively [13]. The most common cause of AHF in Japan is IHD, although cause of AHF varies [14]. Vasodilator needs to be used for AHF patients with IHD, and BPs need to be maintained carefully, because coronary flow is defined in BPs. Moreover, AHF due to ischemia increases risk of cardiac death [15]. Therefore, identification of IHD is vital for AHF patients. In this study, we could not determine IHD by only ECG and/or UCG. However, we were able to determine IHD by the CRP plus CAVI. If CAG cannot be performed in AHF patients, the CRP plus CAVI is a useful parameter for detecting IHD.

It has been reported that elevated CRP is a predictor of adverse cardiovascular events [16], because atherosclerosis is caused by vascular chronic inflammation [17]. CRP is a good indicator of the diagnosis of atherosclerosis. CRP (as a complex parameter) is correlated with chronic inflammation, although individual parameters such as glucose and lipid metabolism disorder are only slightly related to chronic inflammation. Therefore, only CRP might show significant difference in the laboratory findings in this study. Other coronary risk factors in laboratory findings had no significant differences. It has also been reported that CRP is a better parameter to predict IHD than LDL [18]. However, it is not enough to evaluate IHD only by using CRP, because other inflammation can also include vascular chronic inflammation and systemic inflammation, such as cold.

The relationship between CAVI and arteriosclerosis has also been reported [19], and CAVI is known to be associated with various types of arteriosclerotic parameters [20]. Arteriosclerosis has been widely understood as a chronic inflammatory disease [21]. Leukocyte infiltration results from various factors, like oxidized LDL. Arteriosclerosis induces chronic inflammation through the inflammatory cytokine [22]. In this study, we were able to find CAVI increased in IHD group due to chronic inflammation. It has already been reported that CAVI is correlated with CRP [23]. However, a correlation between CAVI and CRP was not indicated (data not shown) due to the fact that CRP indicated other systemic inflammation as well. Therefore, the use of the CRP plus CAVI resulted in the most useful parameter to detect IHD in this study. It is possible to add CAVI to CRP to exclude systemic inflammation.

Previous studies have also reported that chronic inflammation is related to the worsening of HF and induced inflammatory cytokine worsen HF [24-26]. Furthermore, CRP is related to the prognosis of HF [27]. Thus, CAVI might be associated with HF, through chronic inflammation. Moreover, HMG-CoA reductase inhibitor (statin), as inflammation reducing medication, reduced cardiovascular events for HF patients [28]. It is possible that CAVI predicts the prognosis of HF. In this study, CAVI in non-IHD group was 8.20 ± 1.85, which is almost equivalent to the reference value of CAVI in Japan.

This retrospective study has several limitations. These various examinations were measured in only a small number of AHF patients. A larger number of patients with different coronary risk factors such as hypertension, dyslipidemia, DM, and smoking may reveal significant differences between both groups. In addition, CAVI in non-IHD group may be higher than the reference value of CAVI in Japan. Thus, the relationship with CAVI and HF remains unknown. The result in this study might be affected by the fact that CAVI was evaluated only after the improvement of HF. In addition, not all AHF patients received CAVI and CAG during the study period. Further clinical trials with larger continuous population are needed to investigate the relationship between these coronary risk factors, CAVI and CAG.

This small-scale retrospective study demonstrates that the CRP and CAVI are the most useful parameters for identification of IHD. However, the relationship between the CRP and CAVI and the mortality of the HF patients are still unclear. In order to clarify the relationship between HF, CAVI and CRP, large-scale clinical studies are required.

Disclosures

TI received research funds and lecture fees from Mitsubishi Tanabe Pharma Co., Ltd, Daiichi-Sankyo, Co., Ltd, and Ono Pharmaceutical, Co., Ltd. The remaining authors declare that there are no conflicts of interest. The authors have no financial conflicts of interest to disclose concerning this paper.

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