1. Background
Association between low bone mineral density (BMD) and ischemic heart disease (IHD) remains challenging. According to some recent evidence, osteoporotic patients not only face bone fracture, but also may be exposed to increased risk for brain stroke, cognitive disorders, arterial atherosclerosis, and even cardiac-related death in both men and women (1-5). However, the explaining reasons for this relationship remain unknown. Due to some common risk factors for both atherosclerosis and osteoporosis such as smoking, systemic inflammatory conditions, or postmenopausal status, common pathophysiological pathways for these two clinical conditions are expectable (6-9). For instance, postmenopausal osteoporotic women significantly face a higher risk for IHD compared to other age subgroups of women (10-12).
One of the main causes of osteoporosis is vitamin D deficiency frequently due to inadequate sun exposure, low dietary intake, low physical activity, or air pollution (11, 12). It has been well shown that vitamin D deficiency may have deleterious effects on cardiovascular system (13-15). Vitamin D receptors are widely distributed in different tissues including smooth muscles of vessels, endothelium, and also cardiomyocytes. In vivo study could reveal that 25-hydroxy vitamin D may directly inhibit expression of genes related to smooth muscle proliferation and cardiomyocytes as well as inhibit secretion of cytokines from lymphocytes (16-18). Also, some experimental studies on animal models show that lack of vitamin D receptor activators can result in hypertension, and left ventricular hypertrophy (19). Moreover, vitamin D deficiency may be accompanied by an increased level of parathyroid hormone leading to insulin resistance that is a major cause of diabetes mellitus, activation of inflammatory processes as well as coronary atherosclerosis (20-22). Because of the increasing trend of vitamin D deficiency and also osteoporosis, it is vital to clarify the association between IHD and vitamin D deficiency.
2. Objectives
The aim of the present study was to assess this relationship by a functional method using radionuclide myocardial perfusion imaging (MPI). In previous studies, this association was assessed using anatomical methods such as coronary angiography, measuring coronary calcification, and also CT angiography. However, in the present study, functional method of MPI was employed to assess the cardiac function physiologically in addition to anatomically.
3. Patients and Methods
3.1. Participants
In this cross-sectional study, the consecutive patients aged older than 50 years suspected of IHD and candidates for MPI at Imam Khomeini and Shariati hospitals between September 2012 and October 2013 were included into the study. The main exclusion criteria were history of fracture or prosthesis of the neck of the femur, history of fracture or surgery on the vertebral column, any deformity that inhibited performing BMD measurements, severe degenerative changes in the femoral head or lumbar vertebral column, previous history of use of corticosteroids (at least 15 mg for 3 months within two recent years), hyperthyroidism, antiepileptic drugs, or levothyroxine.
3.2. Test Methods
Baseline information including demographics, medical history and medications were collected by interviewing or by reviewing the recorded files. Blood sample was extracted to measure the level of serum 25-OH vitamin D using a special kit (IDS kit). Based on the reference measurement and definition, vitamin D deficiency is defined as serum 25-OH vitamin D level less than 10 ng/mL, vitamin D is defined as insufficient when serum level is more than 10 ng/mL but less than 30 ng/mL and sufficient vitamin D is defined when the serum level is more than 30 ng/mL. The patients were then assessed by perfusion scan using 2-day 99 mTC-Sestamibi MPI protocol with appropriate exercise or pharmacological stress test and a dual head ADAC gamma camera to assess presence, extension and severity of cardiac ischemia by qualitative and semi-quantitative methods according to Table 1. Normal MPI is considered when there is no perfusion defect on stress phase and the summed stress score (SSS) is less than 4 in quantitative analysis. Mild ischemia is defined by mild reversible hypo perfusion in one coronary artery territory and 4 ≤ SSS ≤ 8. Moderate ischemia is defined by mild to moderate reversible hypo perfusion in more than two myocardial segments but in one coronary artery territory and 9 ≤ SSS ≤ 12. Severe ischemia is defined by moderate to severe reversible hypo perfusion in more than two coronary artery territories or partially reversible perfusion defect and 13 ≤ SSS.
Within a month of MPI, subjects underwent bone densitometry by Dual-energy X-ray absorptiometry (DEXA) of the bilateral femoral heads as well as lumbar vertebrae using HOLOGIC or LEXXOS bone densitometer. According to the world health organization (WHO) definitions based on bone density levels (Lowest T-score), the status of BMD of the patients was classified as normal, osteopenia, and osteoporosis (Table 2).
Table 1. Comparative Categorization of Extent of Exercise Myocardial Perfusion Abnormalities (Modified from Zaret Bl, “Clinical Nuclear Cardiology”, 4th Edition, 2010, Mosby Elsevier)
| Defect Extent | |||
|---|---|---|---|
| Small | Moderate | Large | |
| Vascular territories | < 1 | 1 - 2 | 2 or 3 |
| Summed stress score | 4 - 8 | 9 - 13 | > 13 |
| Polar maps (% of LV) | < 10% | 10% - 20% | > 20% |
Table 2. World Health Organization Definitions Based on Bone Density Levels
| Level | Definition |
|---|---|
| Normal | Bone density is within 1 SD (+1 or -1) of the young adult mean. |
| Osteopenia | Bone density is between 1 and 2.5 SD below the young adult mean (-1 to -2.5 SD). |
| Osteoporosis | Bone density is 2.5 SD or more below the young adult mean (-2.5 SD or lower). |
| Severe (established) osteoporosis | Bone density is more than 2.5 SD below the young adult mean, and there have been one or more osteoporotic fractures. |
Abbreviation: SD, standard deviation.
3.3. Ethical Statement
Participants were free to take part in the study and all of them signed informed consent forms. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki as reflected in a prior approval by the human research committee of Tehran University of Medical Sciences.
3.4. Statistical Analysis
Results were presented as mean ± standard deviation (SD) for quantitative variables and were summarized by frequency (percentage) for categorical variables. Continuous variables were compared using t test. Whenever the data did not appear to have a normal distribution or when the assumption of equal variances was violated across the study groups, the corresponding data was transformed appropriately (i.e. vitamin D values had significant skewness and were transformed to the Ln). Categorical variables were compared using chi-square test. Binary logistic model was designed to determine the correlation of osteoporosis with IHD (binominal as dependent variable) with sex and BMI as covariates. For statistical analysis, statistical software SPSS version 17 for windows (SPSS Inc., Chicago, IL) was used. P values of 0.05 or less were considered statistically significant.
4. Results
4.1. Participants
Totally, 204 patients (131 women and 73 men; mean age, 59 ± 7 years; range, 50 to 80 years) were assessed. Baseline characteristics of patients and prevalence of IHD risk factors are summarized in Table 3.
Table 3. Baseline Characteristics of Patients According to IHD Risk Factorsa
| IHD Risk Factors | No. (%) |
|---|---|
| Male | 73 (35.8) |
| Diabetes mellitus | 45 (22.1) |
| Hyperlipidemia | 71 (34.8) |
| Moderate hypertension | 58 (28.4) |
| Severe hypertension | 33 (16.2) |
| Smoking | 29 (14.2) |
| Family history of IHD | 46 (22.5) |
| BMI more than 30 | 61 (30) |
| Total patients | 204 (100) |
Abbreviation: IHD, ischemic heart disease.
aValues are expressed as number or percentage.
4.2. Test Results
Among the total 204 patients, 141 (69.1%) were diagnosed as normal myocardial perfusion, 16 (7.8%) had mild ischemia, 29 had moderate ischemia (14.3%), and 18 (8.8%) had severe ischemia in MPI.
The mean level of serum vitamin D was 22.7 ± 16.7 ng/mL ranged 3.3 to 129 ng/mL. Distribution of serum vitamin D level is shown in Figure 1. Overall, normal BMD, osteopenia, and osteoporosis were found in 24 (11.8%), 95 (46.6%), and 85 (41.7%), respectively.
There was no significant difference in the serum level of vitamin D between patients with normal MPI and those with abnormal scan results (22 ± 17 ng/mL versus 25 ± 16 ng/mL, P = 0.29). Overall no significant correlation was detected between BMD and IHD (Table 4); however, there was a significant difference in the mean BMD at lumbar vertebrae between patients with normal and abnormal MPI (0.86 ± 0.18 g/cm2 versus 0.93 ± 0.19 g/cm2, P = 0.023), but there was no significant difference in the mean BMD in the right and left femurs (Table 5).
Figure 1.
Overall distribution of serum vitamin D level
Table 4. Association Between Vitamin D Level and BMD Strata and the Result of MPI
| Normal MPI | Abnormal MPI | Total | OR | Significance Levela | |
|---|---|---|---|---|---|
| Vitamin D level | 0.02 | ||||
| Intoxication | 1 (0.6) | 0 | 1 (0.5) | ||
| Sufficient | 32 (20.5) | 19 (39.6) | 51 (25) | Reference | |
| Insufficient | 87 (55.8) | 16 (33.3) | 103 (50.5) | 0.31 | |
| Deficient | 36 (23.1) | 13 (27.1) | 49 (24) | 0.61 | 0.3 |
| BMD status | 0.68 | ||||
| Normal | 19 (12.2) | 5 (10.4) | 24 (11.8) | Reference | |
| Osteopenia | 70 (44.9) | 25 (52.1) | 95 (46.6) | 1.36 | |
| Osteoporosis | 67 (42.9) | 18 (37.5) | 85 (41.7) | 1.02 |
Abbreviations: BMD, bone mineral density; MPI, myocardial perfusion imaging.
aIndicates P value.
Table 5. Vitamin D Level and the Value of BMD in Different Sites Based on MPI Results
| Normal MPI | Abnormal MPI | Total | Significance Levela | |
|---|---|---|---|---|
| Vitamin D level | 17.1 (12.9) | 25.2 (17.7) | 22.7 (16.8) | 0.29 |
| BMD; right femur | 0.7 (0.1) | 0.7 (0.1) | 0.7 (0.1) | 0.68 |
| BMD; left femur | 0.7 (0.1) | 0.7 (0.1) | 0.7 (0.1) | 0.84 |
| BMD; lumbar spine | 0.7 (0.1) | 0.9 (0.2) | 0.9 (0.2) | 0.02 |
Abbreviations: BMD, bone mineral density; MPI, myocardial perfusion imaging.
aIndicates P value.
We designed a binary logistic regression model with the result of MPI (normal vs. abnormal) as dependent variable and the BMD strata, sex and BMI as independent factors. MPI was not associated with the osteoporosis status (Odd’s Ratio = 1.1 CI95%:0.6 - 1.8), nevertheless sex was associated with the results of MPI. Odd’s ratio for males to have abnormal MPI = 2.5 (CI95%: 1.2 - 5.2; P = 0.01).
5. Discussion
In initial studies on the association between cardiovascular disorders and low bone mineral density, this association had been suggested in women. On the other hand, coronary atherosclerosis and osteoporosis are potentially age dependent. However, by adjusting age as an independent factor, the relationship between atherosclerosis and osteoporosis converted to an insignificant relation. For instance, Tekin Go and colleagues (3) showed association between the presence of IHD based on angiography reports and osteoporosis in women, but by adjustment for age variable, this association was not confirmed. Bakhivera et al. (23) also showed no independent association between atherosclerosis and osteoporosis in the lumbar vertebrae and femoral neck. Kammerer et al. (24) also showed that the obtained association between atherosclerosis and osteoporosis could be strongly dependent on patients’ age. Kim et al. (25) study, although univariate analysis between coronary calcium score and T score was significant, this significance was not shown in multivariate regression modeling.
In most studies, vitamin D deficiency introduced as a well-known risk factor for ischemic heart disease, particularly when accompanied by other coronary risk factors. Non-significant association between these two parameters may be due to the variations in the definition of cutoff points for normal and abnormal levels of vitamin D. In some studies and using the definition by the institute of medicine (IOM) (17), the level of vitamin D > 20 ng/mL was considered as the adequate level; while the guideline of the international society of endocrinology has recommended the cutoff > 30 ng/mL as the adequate level for this vitamin (26). In addition, there is no definitive Vitamin D serum level cutoff to differentiate high risk patients for IHD from normal coronary conditions.
Another limitation of the present study was serum vitamin D level variation in different seasons (i.e. highest in August and lowest in February); this physiologic phenomenon lead to change in one patient’s serum vitamin D level when measured in summer and winter (14, 15). In this cross-sectional study the potential seasonal effect may be ignored. Also, this association can be affected by patients’ physical functioning and also by heart failure functional class that were not considered in the present study. On the other hand some patients with normal MPI may be in increased risk for IHD (such as the patients with transient left ventricular dilatation) and in case of balanced multi-vessel disease, myocardial perfusion impairment may not be detected. These evidences may explain observed paradoxical findings on relationship between coronary atherosclerosis and presence of osteoporosis.
5.1. Conclusion
This study did not show association between IHD assessed by MPI study and osteoporosis or vitamin D deficiency. The association could be potentially affected by some confounders including age, seasonal changes, dietary patterns, or other coronary risk factors. Therefore, we recommend adjustment for these confounders in further studies.
