Literature DB >> 29062377

Determining the Factors Associated with Cardiovascular Disease Recurrence: Tehran Lipid and Glucose Study.

Samira Taravatmanesh1, Davood Khalili2, Soheila Khodakarim1, Samaneh Asgari2, Farzad Hadaegh2, Fereidon Azizi3, Siamak Sabour4.   

Abstract

Background: Several studies have emphasized the importance of cardiovascular disease (CVD) prevention. However, there is a dearth of data on the prevention of cardiovascular disease recurrence. The present study was the 1st in Iran to evaluate factors associated with CVD recurrence.
Methods: This prospective cohort study was conducted on 483 subjects (> 30 years old) with a history of CVD who participated in the Tehran Lipid and Glucose Study and were followed up for 12 years (1999-2012). The relationships between the most important established risk factors for CVD and CVD recurrence were evaluated.
Results: Totally, 258 (53.4%) men and 225(46.5%) women at a mean age of 59.2 ± 10.7 years were recruited in the study. Our results showed that over the 12-year follow-up, the incidence of a recurrent event (per 100 person-years) was 48.5. Further, after controlling the possible confounding factors, the following variables had a significant relationship with CVD recurrence: age (HR = 1.02; p value = 0. 001), male sex (HR = 1.4; p value = 0.012), smoking (HR = 1.7; p value = 0.004), and increased fasting blood sugar (HR = 2.1; p value = 0.001).
Conclusion: We found that the established variables in the development of CVD (i.e., age, sex, and smoking) played an important role in the risk of CVD recurrence.

Entities:  

Keywords:  Cardiovascular diseases; Recurrence; Risk factors

Year:  2017        PMID: 29062377      PMCID: PMC5643867     

Source DB:  PubMed          Journal:  J Tehran Heart Cent        ISSN: 1735-5370


Introduction

Cardiovascular disease (CVD) is one of the most common diseases in the world.[1] While many studies have underscored the importance of CVD prevention, few studies have highlighted the significance of the prevention of its recurrence.[2] Indeed, for all the studies having evaluated the risk factors associated with CVD, precious little has been done to investigate whether or not the established risk factors for CVD may predict the recurrence of this disease.[3] Hypertension, hyperlipidemia, diabetes, smoking, age, and sex are generally accepted as risk factors for CVD.[4], [5] Research has demonstrated that the established CVD risk factors play an important role in the recurrence of CVD.[6] As yet, no study has been done on CVD recurrence in Iran. Accordingly, we sought to determine the factors associated with the recurrence of CVD using the population under study in the Tehran Lipid and Glucose Study (TLGS). The CVD in this population is defined as a combination of myocardial infarction, angina, and stroke.

Methods

To conduct the present research, we drew upon the data from the TLGS. This study has been investigating noncommunicable diseases such as CVD and their associated factors since 1999, using a sample of 15005 people (3 ≤ years old) in Tehran. Another 3550 participants were recruited in the 2nd phase of examination 3 years later, and the study is currently ongoing.[7] These factors encompassed history of hypertension or taking antihypertensive drugs, systolic blood pressure > 140 mm Hg, diastolic blood pressure > 90 mmHg, history of diabetes or taking antidiabetic drugs, increased fasting blood sugar > 126 mg/dL, history of hyperlipidemia or taking lipid medication, increased levels of blood lipids (total cholesterol > 200 mg/dL, triglyceride > 150 mg/dL, or high-density lipoprotein < 40 mg/dL), daily smoking (smoking regularly or occasionally at the time of completing the questionnaire or before that and not smoking regularly or occasionally at the time of completing the questionnaire), taking cardiovascular drugs (taking any type of CVD drugs prescribed by doctors such as beta-blockers, angiotensin-converting inhibitors, and dipyridamole), and history of premature CVD in the family (history of heart attack or stroke or sudden death in the 1st-degree male family members < 55 years of age and the 1st-degree female family members < 65 years old). The variables of low-density lipoprotein and consuming aspirin and warfarin were excluded due to the lack of the unavailability of the associated data, lack of proportional hazard assumption, and lack of recurrence data, respectively. In the present study, CVD refers to coronary heart disease (angina and myocardial infarction) and cerebrovascular occurrences. Also, recurrent CVD refers to any recurrence of CVD (during the follow-up) in patients whose 1st occurrence of the disease has become stable and also 28 days have passed from the 1st event resulting in hospitalization (unstable angina, myocardial infarction, positive coronary angiography, death due to cardiac ischemia, cerebrovascular accidents, and death due to stroke). The patients were followed up on an annual basis and after gathering documentation from the hospital or from witnesses. The information is evaluated in the TLGS Research Center by a committee, comprising internists, cardiologists, epidemiologists, physicians in charge of data collection and, if necessary, related experts. Should any event befall the patients, the committee is tasked with evaluating it. The details of the outcome measurements were published in advance.[8] Among all the 18555 people entered into the TLGS in phases 1 and 2, a total of 483 people (Figure 1) had a history of CVD and were followed up for 12 years (1999–2001 to 20 March 2012) and 227 patients experienced CVD recurrence. Considering α = 0.05, hazard ratio (HR) = 1.6, and 95% confidence interval (CI), the study power was also estimated to be 88%. For the association between baseline established risk factors and CVD recurrence, the univariate and multiple Cox proportional hazard models were used. Thus, proportionality (using a graphical method to check the proportional hazard model) and collinearity for the research variables were checked. As was explained above, aspirin was excluded owing to the absence of the proportional hazard assumption for this medicine. Variables with a p value ≤ 0.25 in the univariate analysis were entered into the multiple analyses.[9]-[10] The STATA[11] software was used for data analysis.
Figure 1

Flow chart of the study population

Flow chart of the study population TLGS, Tehran Lipid and Glucose Study; CVD, Cardiovascular disease

Results

Initially, 483 individuals over 30 years of age (225 women and 258 men) with a history of CVD were entered in the study. The mean age of the subjects was 59.3 years, with an SD of 10.5. Ninety-eight individuals with a history of CVD were excluded because of their incomplete follow-up period. To compare the features of this group with the 483 cases who completed the follow-up period, we used the independent t-test and the χ2 test. The results showed no significant differences between most of the variables of the 2 groups. Nonetheless, regarding age, there was a significant difference (p value < 0.001). Over the 12-year follow-up, the incidence of a recurrent event (per 100 person-years) was 48.5. The baseline characteristics of the included patients are depicted in Table 1.
Table 1

Baseline characteristics of the included patients (N=483)*

VariablesValueRecurrence (density incidence rate per 100 person-years)VariablesValueRecurrence (density incidence rate per 100 person-years)
Age (y) 10.7±59.2Triglycerides
Gender      < 150 mg/dL179 (37.1)45.2
    Male 258 (53.4)42.9      ≥ 150 mg/dL304 (62.9)42.9
    Women 225 (46.5)46.7High-density lipoprotein
Current smoking      ≥ 40 mg/dL223 (46.4)21.9
    Yes 75 (15.5)43.0      < 40 mg/dL258 (53.6)68.5
    No 408 (84.4)44.7Fasting blood sugar
Hypertension       < 126 mg/dL379 (78.5)51.9
    Yes 237 (49.1)50.6      ≥ 126 mg/dL104 (21.5)41.7
    No 245 (50.8)39.2Drug History
Diabetes MellitusBeta-Blocker
    Yes 131 (27.4)50.6               Yes222 (45.9)49.1
    No 346 (72.5)41.6               No261 (54.0)40.7
DyslipidemiaACE Inhibitor
    Yes 234 (49.1)48.5               Yes67 (13.8)77.7
    No 242 (50.8)40.8               No416 (86.1)41.1
History of Premature CVDDipyridamole
    Yes 67 (14.2)64.4               Yes29 (6.0)48.2
    No 402 (85.7)42.4               No454 (94.0)46.9
History of Premature CVDAnti-Lipid
    Yes 67 (14.6)52.1               Yes53 (10.9)56.5
    No 393 (85.4)43.1               No430 (89.1)43.1
Systolic blood pressure (mmHg)Antihypertensive
    < 140 mg/dL 320 (66.3)45.5               Yes201(41.6)50.7
    ≥ 140 mg/dL 163 (33.7)43.7               No282 (58.3)40.0
Diastolic blood pressure (mmHg)Antidiabetic
    < 90 mg/dL 382 (79.1)47.4               Yes89 (18.4)58.3
    ≥ 90 mg/dL 101 (20.9)45.9               No394 (81.5)41.1
Total cholesterol
    < 200 mg/dL133 (27.5)43.7
    ≥ 200 mg/dL350 (72.5)46.6

CVD, Cardiovascular disease; ACE, Angiotensin-converting enzyme

Data are presented as means±SDs or numbers (%).

The Cox regression model was applied to assess the relationship between each variable and CVD recurrence. The multiple Cox regression model was then utilized to examine the factors related to the recurrence of CVD in order to control the probable confounding variables. Then, the variables with a p value ≤ 0.25 in the univariate analysis were entered in the multiple analysis.Therefore, given a p value ≤ 0.25, the remaining variables in the final model comprised age, sex, smoking , history of hypertension, history of diabetes, history of CVD (father), systolic blood pressure, increased fasting blood sugar, angiotensin-converting inhibitors, antihypertensive drugs, and antidiabetic drugs. The results of the univariate Cox proportional HR and the multiple Cox proportional HR are shown in Table 2. The results revealed that after controlling for the possible confounding factors, there were significant relationships between CVD occurrence and age (HR = 1.02; p value < 0. 001 ), male sex (HR = 1.4; p value = 0.012), smoking (HR = 1.7; p value = 0.004 ), and increased fasting blood sugar (HR = 2.1; p value < 0.001).
Table 2

Univariate and multiple Cox models for CVD recurrence

VariableUnivariate Analysis
Multivariate Analysis
HR (95% CI)P valueHR (95% CI)P value
Age (y)1.02 (1.01-1.03)< 0.0011.02 ( 1.01-1.03)< 0.001
Gender
        FemaleReference
        Male1.4 0.0091.45 (1.08-1.9)0.012
Current smoking
        NoReference
        Yes1.4 (1.0-1.9) 0.0481.7 (1.2-2.6)0.004
History of hypertension
        NoReference
        Yes1.2 (0.9-1.5) 0.1340.9 (0.6-1.3)0.975
Diabetes Mellitus
        NoReference
        Yes1.7 (1.3-2.3)< 0.0011.02 (0.6-1.6)0.913
Dyslipidemia
        NoReference
        Yes1.1 (0.8-1.4) 0.345
History of CVD
        NoReference
        Yes1.1 (0.9-1.1) 0.0521.08 (0.7-1.6)0. 684
Mother’s History of CVD
        NoReference
        Yes1.1 (0.9-1.1) 0.468
Systolic Blood Pressure
        ≤ 140 mmHgReference
        > 140 mmHg1.1 (0.8-1.5) 0.2470.9 (0.7-1.3)0.821
Diastolic Blood Pressure
        ≤ 90 mmHgReference
        > 90 mmHg1.1 (0.8-1.5) 0.413
Total Cholesterol
        ≤ 200 mg/LReference
        > 200 mg/L0.9 (0.7-1.2) 0.550
Triglyceride
        ≤ 150 mg/LReference
        >150 mg/L1.1 (0.8-1.5) 0.319
High-Density Lipoprotein
        ≤ 40 mg/LReference
        > 40 mg/L0.9 (0.7-1.2) 0.610
Fasting Blood Sugar
        ≤ 126 mg/LReference
        > 126 mg/L2.2 (1.6-2.9)< 0.0012.1 (1.3-3.1)0.001
Beta-Blocker
        NoReference
        Yes1.1 (0.8-1.4) 0.367
ACE Inhibitor
        NoReference
        Yes1.2 (0.8-1.8) 0.1890.9 (0.6-1.3)0.597
Dipyridamole
        NoReference
        Yes1.2 (0.7-2.2) 0.342
Anti-Lipid Drugs
        NoReference
        Yes1.2 (0.8-1.8) 0.300
Antidiabetic Drugs
        NoReference
        Yes2.0 (1.4-2.7)< 0.0011.1 (0.6-1.9)0.645
Antihypertensive Drugs
        NoReference
        Yes1.3 (1.1-1.8) 0.0121.5 (1.07-2.1)0.014

CVD, Cardiovascular disease; ACE inhibitor, Angiotensin-converting enzyme inhibitor

The HR for CVD recurrence in men versus women during the 12 years of follow-up is shown in (Figure 2).
Figure 2

Hazard ratio of cardiovascular disease (CVD) recurrence in men versus women adjusted for age in 12 years of follow-up.

The HR of increasing age for CVD recurrence according to sex is illustrated in Figure 3.
Figure 3

Hazard ratio of cardiovascular (CVD) recurrence by sex in different age categories after 12 years of follow-up (30–40 years as reference category).

Hazard ratio of cardiovascular disease (CVD) recurrence in men versus women adjusted for age in 12 years of follow-up. Hazard ratio of cardiovascular (CVD) recurrence by sex in different age categories after 12 years of follow-up (30–40 years as reference category). The HR of a history of diabetes for developing CVD recurrence according to sex is shown in Figure 4. Compared to the women, the diabetic men had a low risk of CVD recurrence in the 1st 5 years of the follow-up. This ratio was reversed at the end of the follow-up, with the risk of CVD recurrence rising in the diabetic men
Figure 4

Hazard ratio of cardiovascular disease (CVD) recurrence in men versus women with a history of diabetes adjusted for age.

Hazard ratio of cardiovascular disease (CVD) recurrence in men versus women with a history of diabetes adjusted for age. Baseline characteristics of the included patients (N=483)* CVD, Cardiovascular disease; ACE, Angiotensin-converting enzyme Data are presented as means±SDs or numbers (%). Univariate and multiple Cox models for CVD recurrence CVD, Cardiovascular disease; ACE inhibitor, Angiotensin-converting enzyme inhibitor

Discussion

This study used the multiple Cox regression analysis to identify the factors contributing to the risk of recurrent CVD events in patients with established CVD. Our results showed that after controlling confounding variables, the most effective variables allied to CVD recurrence were respectively as follows: increased fasting blood sugar, smoking, taking antihypertensive drugs, male sex, taking antidiabetic drugs, father’s history of CVD, and history of diabetes. Fortunately, the most important variables influencing the recurrence of CVD were increased fasting blood sugar and smoking, both of which are modifiable variables. The results also revealed that the risk of CVD recurrence increased with age in both sex groups in the 1st 5 years of the follow-up, although the increase among the women was higher than that among the men (7.9 vs. 4.2). Further, diabetes and sex had a strong relationship with CVD recurrence, as is clearly shown in Figure 4. Diabetes had a very strong relationship with CVD recurrence in the 1st year. This relationship in the last year was detected more pronounced in the men than in the women. The possible reasons for the observed differences in the diabetic women versus the diabetic men at the end of the follow-up might have been good compliance with the physicians’ instructions and proper diets by the women in comparison with the men. Although our study showed the impacts of the variables of diabetes and gender on the recurrence of CVD, the results would have been bolstered had there been a method to measure the effects of several variables on the recurrence of CVD simultaneously (such as the simultaneous effects of hypertension, smoking, and lipid disorders). We highlighted the features that could be useful in both clinical practice and public health. First, increasing age had a significant relationship with CVD recurrence; this finding was also reported by Marmor et al.[11] It is worthy of note, however, that patients who develop CVD at a young age often have different risk profiles as compared to older patients.[12] Generally in Iran, life expectancy is not very high. As can be seen in Figure 3, in the last years of the follow-up, the risk of recurrence in the age group 60–90 years old was lower in the men than in the women, which could be the leading cause of death in older men. Of course the small sample size in this age group might be another reason. Second, the risk of recurrence was higher in the men than in the women (45%). Our result was similar to that of a study by Giorda et al.[13] This result might have been obtained due to greater predisposition to necrotic events in men than in post-menopausal women, who are more prone to myocardial infarction, angina and, probably, heart failure.[14], [5] Interestingly, we observed that there was no significant relationship between a history of CVD and the recurrence of CVD. This finding is inconsistent with that reported by Mulders et al.[16] On the other hand, it is believed that standard treatment should preventthese recurrent events.[17], [18] We indicated that there was no significant relationship between a history of diabetes and the recurrence of CVD, while Deedwania et al.[19] found a significant relationship between a history of diabetes and CVD recurrence. The disagreement might be explained by the differences in the study populations, study designs, follow-up durations, sample sizes, and statistical analyses. Indeed, Deedwania et al.[19] investigated the relationship between diabetes and the recurrence of CVD by using the Cox regression method in addition to some other statistical methods such as the t, χ2, Kaplan–Meier, and Wilcoxon tests. The results of our study did not find a significant relationship between a history of diabetes and the recurrence of CVD, but a significant relationship was found between increased fasting blood sugar and the disease recurrence. Be that as it may, stating that these variables might play an important role in the recurrence of CVD should be carefully interpreted because we did not investigate the duration of suffering from diabetes as well as other medical disorders associated with this disease (e.g., nephropathy and retinopathy) due to the lack of relevant data, which might have confounded our results. This study has several strengths and limitations. The most salient strength is that it is the 1st study to assess the factors associated with CVD recurrence in Iran. The long-term follow-up in the current study is another strong point. Furthermore, the data were extensive inasmuch as the study population was comprised of 483 cases. Also, the fact that there was a committee to confirm the deaths caused by CVD (not only the cause of death but also the cause of any event leading to hospitalization) can be deemed a strength. On the other hand, myocardial infarction is of various types, but a misclassification appeared in this study due to the lack of adequate information about the different types of myocardial infarction and the statistical results were diluted. Moreover, the outcome of myocardial infarction and angina as well as the outcome of strokes was integrated in 1 outcome (i.e., CVD), precluding a separate evaluation of the relationship between different exposures and outcomes. Indeed, it would have been preferable had the 2 groups not been integrated in the same outcome. Another noteworthy weakness is that the definition of smoking, according to the definition provided when completing the questionnaire, supposed that current smokers and former smokers (ex-smokers) had the same risk of death. Consequently, a misclassification occurred, which diluted the obtained result. This caused the observed risk to be lower than the real one. Also, the variable of low-density lipoprotein was excluded because the data related to it had not been collected. This variable can affect the recurrence of CVD.

Conclusion

The results of the present study demonstrated that the established risk factors for the development of CVD (i.e., increased fasting blood sugar, smoking, taking antihypertensive drugs, masculinity, taking antidiabetic drugs, father’s history of CVD, and history of diabetes) played an important role in the risk of CVD recurrence. These results can help clinicians and patients as well as public health decision-makers to raise awareness about CVD recurrence. We showed that male sex was a strong risk factor for CVD recurrence compared to female sex, and this might be clinically important. Vis-à-vis smoking, the risk of CVD recurrence was higher in the smokers than in the nonsmokers. This finding can be useful to both clinical and public health applications regarding the prevention of CVD recurrence.
  19 in total

Review 1.  Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker.

Authors:  Karel G M Moons; Andre Pascal Kengne; Mark Woodward; Patrick Royston; Yvonne Vergouwe; Douglas G Altman; Diederick E Grobbee
Journal:  Heart       Date:  2012-03-07       Impact factor: 5.994

2.  Risk factors for cardiovascular event recurrence in the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Keattiyoat Wattanakit; Aaron R Folsom; Lloyd E Chambless; F Javier Nieto
Journal:  Am Heart J       Date:  2005-04       Impact factor: 4.749

3.  Overall and coronary heart disease mortality rates in relation to major risk factors in 325,348 men screened for the MRFIT. Multiple Risk Factor Intervention Trial.

Authors:  W B Kannel; J D Neaton; D Wentworth; H E Thomas; J Stamler; S B Hulley; M O Kjelsberg
Journal:  Am Heart J       Date:  1986-10       Impact factor: 4.749

4.  Recurrent myocardial infarction: clinical predictors and prognostic implications.

Authors:  A Marmor; E M Geltman; K Schechtman; B E Sobel; R Roberts
Journal:  Circulation       Date:  1982-08       Impact factor: 29.690

5.  Cardiovascular disease in Europe 2014: epidemiological update.

Authors:  Melanie Nichols; Nick Townsend; Peter Scarborough; Mike Rayner
Journal:  Eur Heart J       Date:  2014-08-19       Impact factor: 29.983

6.  Patients with premature cardiovascular disease and a positive family history for cardiovascular disease are prone to recurrent events.

Authors:  Ties A Mulders; Zainna Meyer; Christel van der Donk; Abraham A Kroon; Isabel Ferreira; Coen D A Stehouwer; Sara-Joan Pinto-Sietsma
Journal:  Int J Cardiol       Date:  2010-09-09       Impact factor: 4.164

7.  Impact of diabetes mellitus on outcomes in patients with acute myocardial infarction and systolic heart failure.

Authors:  Prakash C Deedwania; Mustafa I Ahmed; Margaret A Feller; Inmaculada B Aban; Thomas E Love; Bertram Pitt; Ali Ahmed
Journal:  Eur J Heart Fail       Date:  2011-03-09       Impact factor: 15.534

8.  Coronary heart disease in Western Collaborative Group Study. Final follow-up experience of 8 1/2 years.

Authors:  R H Rosenman; R J Brand; D Jenkins; M Friedman; R Straus; M Wurm
Journal:  JAMA       Date:  1975-08-25       Impact factor: 56.272

9.  Genetic susceptibility to death from coronary heart disease in a study of twins.

Authors:  M E Marenberg; N Risch; L F Berkman; B Floderus; U de Faire
Journal:  N Engl J Med       Date:  1994-04-14       Impact factor: 91.245

10.  The prevalence of diabetes in elderly people.

Authors:  S C Croxson; A C Burden; M Bodington; J L Botha
Journal:  Diabet Med       Date:  1991-01       Impact factor: 4.359

View more
  3 in total

1.  Long term prognostic implication of newly detected abnormal glucose tolerance among patients with stable cardiovascular disease: a population-based cohort study.

Authors:  Maryam Kabootari; Samaneh Asgari; Seyedeh Maryam Ghavam; Hengameh Abdi; Fereidoun Azizi; Farzad Hadaegh
Journal:  J Transl Med       Date:  2021-06-30       Impact factor: 5.531

2.  Incidence and risk factors for recurrent cardiovascular disease in middle-eastern adults: a retrospective study.

Authors:  Romona D Govender; Saif Al-Shamsi; Elpidoforos S Soteriades; Dybesh Regmi
Journal:  BMC Cardiovasc Disord       Date:  2019-11-11       Impact factor: 2.298

3.  Prognostic impact of anemia on the mortality of United Arab Emirates nationals with cardiovascular disease.

Authors:  Saif Al-Shamsi; Ghada S M Al-Bluwi; Maitha Al Shamsi; Nouf Al Kaabi; Sara Al Khemeiri; Noura Baniyas
Journal:  Qatar Med J       Date:  2022-03-12
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.