ABSTRACT

Background

Metabolic syndrome (MS) has emerged as a new health risk, and its associated metabolic derangements have detrimental effects on the cardiovascular system. In recent years, MS has been reported to affect reproductive health in males. It has been reported to be associated with erectile dysfunction (ED) and has been attributed to be due to endothelial dysfunction. Poor endothelial function in ED usually affects small-sized vasculature, so it can be looked at as a predictor for the endothelial dysfunction of macro vasculature. The aim of the present study was to determine the association of ED in patients with MS and to determine its correlation with endothelial dysfunction.

Materials and methods

It was a hospital-based case–control study in which 120 male patients with MS and 120 age-matched controls were enroled. Demographic profiles, anthropometry, past illnesses, and medical history of patients were obtained. MS was diagnosed according to the International Diabetes Federation (IDF) criteria and was measured using the flow-mediated dilation (FMD) method with the help of ultrasound used to assess endothelial dysfunction. Diagnosis of ED was based on the International Index of Erectile Function (IIEF) scale.

Results

The study participants had a mean age of 40.91 ± 11.41 years. The majority of cases (57.5%) had ≤6 months of history of MS. The prevalence of ED was 31.7% in cases compared to 5% in controls, thus showing a significant difference between cases and controls. Mean IIEF scores were significantly lower in cases (18.82 ± 5.59) compared to those in controls (23.00 ± 2.57). A moderate positive and significant correlation was observed between FMD and IIEF scores. With an increasing number of MS components, there was a significant increase in the prevalence of ED. Those with ED had significantly lower mean FMD values (5.1 ± 1.1%) compared to those not having ED (10.9 ± 3.3%).

Conclusion

The findings of the present study showed that there is a significant association between ED and MS. We observed that the increase in components of MS increased the prevalence of ED in MS. Endothelial dysfunction measured by FMD was correlated with ED.

How to cite this article

Karoli R, Fatima J, Verma P, et al. Study of Association of Erectile Dysfunction with Metabolic Syndrome and Its Correlation with Endothelial Dysfunction in an Indian Population. J Assoc Physicians India 2024;72(5):17-20.

INTRODUCTION

Erectile dysfunction (ED) is defined as the inability to obtain a penile erection sufficient for a satisfactory sexual performance. It is a prevalent disorder affecting >15% of men across the globe. 1 The etiology of ED is multifactorial, and it is more common with increasing age. 2 , 3 The importance of ED is not only that it has a negative impact on the quality of life in men, 4 , 5 but epidemiological studies indicate that the occurrence of ED might increase the risk for coronary heart disease and suggests that a diagnosis of ED is a sentinel event that should prompt evaluation of coronary heart disease in the male population. 6 , 7 The main mechanism underlying the pathophysiology of both ED and cardiovascular disease (CVD) seems to be related to atherosclerosis and endothelial dysfunction. 8 , 9

Metabolic syndrome (MS) is a cluster of metabolic abnormalities that starts with insulin resistance and continues with the addition of abdominal obesity, glucose intolerance or diabetes mellitus (DM), dyslipidemia, hypertension, and coronary artery disease. It has been shown to be associated with CVD by directly influencing vascular function. Therefore, it can be hypothesized that patients suffering from MS might have compromised sexual function. There is some literature available to suggest that patients with MS have more propensity for ED. 10 - 12 There is not much literature available in our population.

Early diagnosis of ED might provide an opportunity to unravel the risk of CVD. Therefore, the aim of our study was to determine the association of ED with MS and assess its correlation with endothelial dysfunction.

MATERIALS AND METHODS

This study was conducted in the Departments of Medicine, Surgery, and Radiodiagnosis, Era’s Lucknow Medical College and Hospital, Era University, Lucknow, Uttar Pradesh, India, which is a medical college hospital, between January 2017 and December 2018.

In this hospital-based cross-sectional study, 120 patients with MS [as per International Diabetes Federation (IDF) criteria] and 120 males as age-matched controls were included after ascertaining compliance with inclusion and exclusion criteria. Following enrolment, demographic information (age, place of residence, occupation, and socioeconomic status) was obtained from all the patients. Among cases, chief complaints and duration since the detection of MS were noted. A past history of medical illnesses was noted in all the cases and control, and they were inquired about their dietary habits and family history of systemic/chronic illness.

Inclusion Criteria

Participant selection—the study included males >18 years and <60 years as cases and controls. The MS was defined according to the IDF criteria. 13 MS by IDF is diagnosed as central obesity [waist circumference (WC) ≥94 cm (male), ≥80 cm or (female)] and any two of the following—blood pressure ≥130/85 mm Hg, triglycerides (TG) ≥150 mg/dL, high-density lipoprotein (HDL) ≤40 mg/dL in men and ≤50 mg/dL in women, and fasting blood glucose ≥100 mg/dL.

Exclusion criteria of the study comprised of prostatic disease, peripheral or autonomic neuropathy, patients taking aldosterone receptor antagonists, β-blockers, and thiazide diuretics, nitrates, androgen therapy or alcohol addiction, smoking hypogonadism, history of pelvic trauma, and pelvic surgery. Patients with a history of psychiatric disease, men with debilitating disease, end-stage target organ diseases, and men with unfavorable penile anatomy for sexual acts were also excluded from the study. Written informed consent was obtained from all the study participants, and prior ethical approval for the study was obtained from the Institutional Ethics Committee.

Anthropometric assessment [weight, height, body mass index (BMI), hip and WC] of all the cases and controls was done. Blood pressure measurement, fasting blood glucose, and lipid profile assessments were also performed.

Endothelial Function

Endothelial dysfunction was estimated by flow-mediated dilation in the right brachial artery. This procedure was performed in a cool, dark, and quiet room. The brachial artery diameter was measured in study participants at the baseline in antecubital fossa with the help of B mode ultrasound (7–10 MHz) linear transducer) followed by reactive hyperemia induced by tying the pneumatic cuff for 4 minutes. The second reading was taken after 60 seconds. Three times, the reading was taken in a single participant, and the average was calculated. Flow-mediated vasodilation (FMD) index was calculated according to the following formula 14 : FMD index = (post occlusion diameter - baseline diameter)  ×  100/baseline diameter

Erectile Dysfunction

It was assessed by completing questions one through five of the International Index of Erectile Function (IIEF), 15 , 16 which is a multidimensional questionnaire for assessing ED. The erectile function score represents the sum of questions one through five of the IIEF questionnaire, with a maximum score of 25; a score ≤21 indicates ED.

  • 22–25: No ED.

  • 17–21: Mild ED.

  • 12–16: Mild-to-moderate ED.

  • 8–11: Moderate ED.

  • 5–7: Severe ED.

Statistical Analysis

The statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) 20.0 (SPSS Inc, Chicago, United States of America). The normality of the data was checked using the Shapiro–Wilk test. The continuous variables were expressed as mean ± standard deviation (SD), and categorical variables as numbers and percentages. Two groups were compared with the student’s t -test for continuous variables, and the Chi-squared test was used to test the difference between categorical variables. Pearson correlation was used to test for the correlation between continuous variables. A p -value < 0.05 was considered statistically significant. Multivariate logistic regression was used to assess the determining factors of ED.

RESULTS

This was a hospital-based case–control study in which 120 male patients with MS and 120 age-matched controls were enroled. Demographic profiles, anthropometry, past illnesses, and patients’ medical history were obtained. Subsequently, with the help of the flow-mediated dilation method, endothelial dysfunction was estimated using ultrasound. All the cases and controls were assessed for ED using the IIEF score.

In the present study, the age of MS patients ranged from 20 to 59 years. The mean age of patients was 40.91 ± 11.41 years ( Table 1 ). The majority of patients were in the age-group 40–59 years (57.5%). The mean age of controls was 40.31 ± 11.33 years. There was no statistically significant difference in the age of cases and controls. The majority of cases and controls were from urban areas (64.2 vs 61.2%). The majority of cases (57.5%) had <6 months of history of MS.

Clinical parameters in the cases and controls

Variables Cases (n = 120) Controls (n = 120) p-value
Age (years) 40.91 ± 11.41 40.31 ± 11.33 0.12
Urban population(%) 64.2% 61.2 0.07
BMI (kg/m 2 ) 24.2 ± 1.3 22.2 ± 1.1 0.01
Prevalence of ED 38 (31.7%) 6 (5%) 0.001
IIEF score 18.82 ± 5.59 23.00 ± 2.57 0.03
FMD (%) 6.8 ± 1.7% 12.8 ± 2.8% 0.001

Family history of systemic/chronic illnesses was reported in 19.2% of cases compared to 10% of controls, thus showing a significant difference between the two groups. The mean BMI, waist-to-hip ratio and hip and WC of the cases were significantly higher than those of the controls.

Prevalence of hypertension, glucose intolerance, central obesity, and dyslipidemia (low HDL and raised triglyceride levels) was significantly higher in cases compared to that in controls. Mean FMD values were significantly lower in cases (6.8 + 1.7%) compared to those in controls (12.8 ± 2.8%). With an increasing number of MS factors, a significant decrease in mean FMD values was observed. Prevalence of ED was 31.7% in cases compared to 5% in controls, thus showing a significant difference between the two groups. Mean IIEF scores were significantly lower in cases (18.82 + 5.59) compared to those in controls (23.00 + 2.57).

On univariate analysis, all five components of MS (hypertension, diabetes, central obesity, low HDL, and raised triglyceride levels were found to be significantly associated with ED. Mean BMI, WC, fasting blood sugar, systolic blood pressure, and diastolic blood pressure levels were significantly higher among those with ED compared to those not having ED, whereas mean HDL levels were significantly lower among those having ED compared to those not having ED as shown in Table 2 . With an increasing number of MS components, there was a significant increase in the prevalence of ED ( Table 3 ). Those with ED had significantly lower mean FMD values, as shown in Figure 1 (5.1 ± 1.1%) compared to those not having ED (10.9 ± 3.3%)

Association of risk factors of MS and ED

Serial number Parameters ED (n = 44) No ED (n = 196) Significance of differences
Mean SD Mean SD “t” “p”
1 BMI (kg/m 2 ) 27.62 5.10 23.85 5.53 4.142 0.01
2 WC (cm) 99.84 9.43 86.27 13.76 4.383 0.001
3 Fasting blood glucose (mg/dL) 110.11 12.46 87.33 13.68 3.909 0.001
4 Triglyceride (mg/dL) 207.16 104.95 178.48 91.58 1.826 0.029
5 HDL (mg/dL) 37.28 8.21 48.51 12.80 -6.162 0.001
6 Systolic blood pressure (mm Hg) 148.66 16.45 129.69 15.96 4.977 0.003
7 Diastolic blood pressure (mm Hg) 87.77 11.33 80.45 10.17 3.073 0.032

Association of ED and number of components of MS

Serial number ED (n = 44) No ED (n = 196) Total (N = 240)
No. % No. % χ² “p”
1 None 4 9.1 66 33.7 31.058 0.001
2 One 2 4.5 41 20.9
3 Two 0 0.0 7 3.6
4 Three 17 38.6 43 21.9
5 Four 9 20.5 22 11.2
6 Five 12 27.3 17 8.7

Levels of FMD (%) in patients with and without ED

On multivariate analysis ( Table 4 ) evaluating the association of ED with hypertension, diabetes, central obesity, low HDL, high TG, FMD, and MS, only lower FMD levels were significantly associated with ED. A significant positive correlation was demonstrated between FMD and IIEF-5 scores ( r = 0.651; p = 0.001) as shown in Figure 2 .

Binary logistic regression for association between ED with different components with MS and FMD

B Standard error Wald Degree of freedom “p” OR 95% confidence interval for EXP(B)
Lower Upper
High blood pressure 1.280 1.125 1.294 1 0.255 3.597 0.396 32.651
Glucose intolerance 0.068 1.636 0.002 1 0.967 1.070 0.043 26.431
Raised WC 0.141 9.715 0.000 1 0.988 1.151 0.000 214161246.7
Reduced HDL 1.113 0.879 1.601 1 0.206 3.043 0.543 17.052
High TG −1.320 0.960 1.889 1 0.169 0.267 0.041 1.754
FMD −3.159 0.663 22.721 1 0.001 2.34 1.28 4.156
Constant 13.109 20.003 0.429 1 0.512 493332

EXP(B), Exponentiation of beta coefficients. These are the odds ratios of the variables

Correlation between FMD and IIEF scores

DISCUSSION

Erectile dysfunction (ED) is a relatively common health problem but is considerably neglected. As lifestyle diseases such as DM, hypertension, and obesity are increasing, ED has also increased exponentially. In the present study, the prevalence of ED in patients with MS and its correlation with endothelial dysfunction was evaluated.

Erectile dysfunction (ED) is a major health concern in the aging male population across the globe. The prevalence of ED is 10–20% in the overall male population and reaches 50–60% at the age of 70 years. 16 , 17 The association of ED with CVD can be largely explained by common risk factors such as aging, diabetes, hypertension, obesity, dyslipidemia, and smoking, but ED is an independent predictor of CVD as well. 18

As widely known, MS represents a cluster of metabolic disturbances such as central obesity, hypertension, impaired glucose tolerance, and dyslipidemia, which are mainly derived from the accumulation of visceral adipose tissue and insulin resistance. MS and ED share a common pathophysiological mechanism; therefore, it is expected that the presence of MS may pose an increased risk of ED. Many previous studies have confirmed this. 19 - 22

In the present study, the prevalence of ED among MS patients was 31.7% compared to only 5% in controls. Arrabal-Polo et al., in a case–control study, reported the prevalence of ED to be 64.9 and 9.5%, respectively, among cases and controls. 23

A large population based on Suarez Arbelaez et al., including 36,911,824 subjects, concluded that MS and its individual components were significant risk factors for various urological disorders. 24

Heidler et al. in a study of >2,000 men, observed that MS and central obesity are independently associated with an ED. 20

Costa et al. conducted a study on 179 patients of ED and reported that lower total testosterone circulating levels were correlated with an increasing number of MS components, and the contribution of hypertriglyceridemia and WC was found to be strong. 25

In the present study, we postulated that endothelial dysfunction could be an underlying reason for ED, and on evaluating and comparing the same between cases and controls, we found that flow-mediated dilation was significantly lower in cases of MS compared to controls.

Metabolic syndrome (MS) is known to affect endothelial function, and the findings of the present study also confirm this. The findings also showed that with an increasing number of components of MS, there was a decreasing trend of FMD values. Mazo et al. 22 in their study found endothelial function to be an important causative factor in the pathogenesis of ED among MS patients. As far as an association of MS components with ED was concerned, Lee et al. 26 highlighted fasting blood glucose levels as the most significant independent factor associated with ED, while Amidu et al. 27 found central obesity and raised blood pressure as the significant MS components associated with ED. In the present study, it was noted that an increase in the number of components of MS in cases was found to be associated with increased prevalence of ED and severity of ED, as suggested by a low IIEF-5 score. Similar results were reported by Lee et al., 26 who found that with an increased number of MS components, there was a significant decrease in the IIPF-5 score.

It is possible that endothelial dysfunction might be an early marker followed by the development of atherosclerotic disease and arterial occlusion at a later stage. A link between endothelial dysfunction and ED among MS and future cardiovascular events was shown by various researchers. 11 , 28 - 31 In the present study, mean IIEF scores were found to be significantly lower in MS patients, and FMD values showed a significant positive correlation with IIEF values, as reported by Coban et al. 32

In India, a landmark study conducted by Sood et al. in 357 patients with ED found that ED severity was significantly correlated with the presence of MS. ED was correlated with central obesity, serum TG, and fasting blood sugar. 33

Another study from India, including 113 subjects of MS, reported that the presence of the various components of MS was associated with increased prevalence and severity of ED. 34

The findings of the present study showed that there is a significantly increased prevalence of ED in patients with MS, which increases with a number of components of MS. It was noted that endothelial dysfunction was higher in MS patients, and it had a significant correlation with the ED. Hence, it is recommended that among MS patients, endothelial dysfunction should be assessed from time to time, especially among those male patients who complain of sexual problems.

There are only a few studies available in India addressing this issue. This is the only study that has found a correlation between ED and low-flow-mediated dilation in our population. However, the present study has a few limitations, as it is a hospital-based study with a small sample size. Being cross-sectional and observational in design, we could not follow these patients to determine the causal relationship between ED/endothelial dysfunction and CVD. We suggest further research addressing this arena with a large number of patients to validate our data.

CONCLUSION

The findings of the present study showed that there is a significant association between ED and MS. We observed that an increase in components of MS increased the prevalence of ED in MS. Endothelial dysfunction measured by FMD was correlated with ED.

REFERENCES

  • Ayta IA, McKinlay JB, Krane RJ. The likely worldwide increase erectile dysfunction between 1995 and 2025 and some possible policy consequences. BJU Int 1999; 84 (1): 50– 56.
  • Johannes CB, Araujo AB, Feldman HA, et al. Incidence of erectile dysfunction in men 40 to 69 years old: longitudinal results from the Massachusetts male aging study. J Urol 2000; 163 (2): 460– 463.
  • Rosen RC, Wing R, Schneider S, et al. Epidemiology of erectile dysfunction: the role of medical comorbidities and lifestyle factors. Urol Clin North Am 2005; 32 (4): 403– 417.
  • Feldman HA, Gowstein I, Hatzichriston DG, et al. Impotence and its medical and psychosocial correlates: results of the Marsachusetts male ageing study. J Urol 1994; 151 (1): 54– 61.
  • McCabe MP, Althof SE. A systematic review of the psychosocial outcomes associated with erectile dysfunction: does the impact of erectile dysfunction extend beyond a man’s inability to have sex? J Sex Med 2014; 11 (2): 347– 363.
  • Blumentals WA, Gomez-Caminero A, Joo S, et al. Should erectile dysfunction be considered as a marker for acute myocardial infarction? Int J Impot Res 2004; 16: 350– 353.
  • Solomon H, Man JW, Jackson G. Erectile dysfunction and the cardiovascular patient: endothelial dysfunction is the common denominator. Heart 2003; 89 (3): 251– 253.
  • Guay AT. Relation of endothelial cell function to erectile dysfunction: implications for treatment. Am J Cardiol 2005; 96 (12B): 52M– 56M.
  • Corona G, Fagioli G, Mannucci E, et al. Penile doppler ultrasound in patients with erectile dysfunction (ED): role of peak systolic velocity measured in the flaccid state in predicting arteriogenic ED and silent coronary artery disease. J Sex Med 2008; 5 (11): 2623– 2634.
  • Gorgel SN, Gorgel A, Sefik E. Sexual function in male patients with metabolic syndrome and effective parameters on erectile dysfunction. Int Braz J Urol 2014; 40 (1): 56– 61.
  • Besiroglu H, Otunctemur A, Ozbek E. The relationship between metabolic syndrome, its components, and erectile dysfunction: a systematic review and a meta-analysis of observational studies. J Sex Med 2015; 12 (6): 1309– 1318.
  • Kaya E, Sikka SC, Gur S. A comprehensive review of metabolic syndrome affecting erectile dysfunction. J Sex Med 2015; 12 (4): 856– 875.
  • Alberti KG, Zimmet P, Shaw J. The metabolic syndrome–a new worldwide definition. Lancet 2005; 366 (9491): 1059– 1062.
  • Rosen RC, Cappelleri JC, Smith MD, et al. Development and evaluation of an abridged, 5-item version of the International Index of Erectile Function (IIEF-5) as a diagnostic tool for erectile dysfunction. Int J Impot Res 1999; 11 (6): 319– 326.
  • Corretti MC, Anderson TJ, Benjamin EJ, et al. Guidelines for the ultrasound assessment of endothelium-dependent flow-mediated vasodilation of brachial artery. A report of the International Brachial Artery Task Force. J Am Coll Cardiol 2002; 39 (2): 257– 265.
  • Dong JY, Zhang YH, Qin LQ. Erectile dysfunction and risk of cardiovascular disease: meta-analysis of prospective cohort studies. J Am Coll Cardiol 2011; 58 (13): 1378– 1385.
  • Saigal CS, Wessells H, Pace J. Predictors and prevalence of erectile dysfunction in a racially diverse population. Arch Intern Med 2006; 166 (2): 207– 212.
  • Batty GD, Li Q, Czernichow S. Erectile dysfunction and later cardiovascular disease in men with type 2 diabetes. J Am Coll Cardiol 2010; 56 (23): 1908– 1913.
  • Bal K, Öder M, Sahin AS. Prevalence of metabolic syndrome and its association with erectile dysfunction among Urologic patients: metabolic backgrounds of erectile dysfunction. Urology 2007; 69 (2): 356– 360.
  • Heidler S, Temml C, Broessner C. Is the metabolic syndrome an independent risk factor for erectile dysfunction? J Urol 2007; 177 (2): 651– 654.
  • Kupelian V, Shabsigh R, Araujo AB, et al. Erectile dysfunction as a predictor of the metabolic syndrome in aging men: results from the Massachusetts male aging study. J Urol 2006; 176 (1): 222– 226.
  • Mazo EB, Gamidov SI, Iremashvili VV, et al. The pathogenesis of erectile dysfunction in metabolic syndrome. Vestn Ross Akad Med Nauk 2008; (2): 21– 26.
  • Arrabal-Polo MÁ, Arias-Santiago S, Pintado FLC, et al. Metabolic syndrome, hormone levels, and inflammation in patients with erectile dysfunction. Sci World J 2012; 2012: 272769.
  • Suarez Arbelaez MC, Nackeeran S, Shah K, et al. Association between body mass index, metabolic syndrome and common urologic conditions: a cross-sectional study using a large multi-institutional database from the United States. Ann Med 2023; 55 (1): 2197293.
  • Costa IC, Carvalho HN, Pacheco-Figueiredo L, et al. Hormonal modulation in aging patients with erectile dysfunction and metabolic syndrome. Int J Endocrinol 2013: 2013: 107869.
  • Lee YC, Liu CC, Huang CN, et al. The potential impact of metabolic syndrome on erectile dysfunction in aging Taiwanese males. J Sex Med 2010; 7 (9): 3127– 3134.
  • Amidu N, Owiredu WK, Alidu H, et al. Association between metabolic syndrome and sexual dysfunction among men with clinically diagnosed diabetes. Diabetol Metab Syndr 2013; 5: 42.
  • Tomada N, Tomada I, Botelho F, et al. Endothelial function in patients with metabolic syndrome and erectile dysfunction: a question of angiopoietin imbalance? Andrology 2013; 1 (4): 541– 548.
  • Sanchez E, Pastuszak AW, Khera M. Erectile dysfunction, metabolic syndrome, and cardiovascular risks: facts and controversies. Transl Androl Urol 2017; 6 (1): 28– 36.
  • Lane-Cordova AD, Kershaw K, Liu K, et al. Association between cardiovascular health and endothelial function with future erectile dysfunction: the multi-ethnic study of atherosclerosis. Am J Hypertens 2017; 30 (8): 815– 821.
  • de Matthaeis A, Greco A, Serviddio G, et al. Endothelial dysfunction evaluated by flow mediated dilation is strongly associated to metabolic syndrome in the elderly. Aging Clin Exp Res 2010; 22 (4): 303– 307.
  • Coban S, Cander S, Altuner MS, et al. Does metabolic syndrome increase erectile dysfunction and lower urinary tract symptoms. Urol J 2014; 11 (4): 1820– 1824.
  • Sood R, Sharma D, Goel H, et al. The correlation between erectile dysfunction and metabolic syndrome in an Indian population: a cross-sectional observational study. Arab J Urol 2019; 17 (3): 221– 227.
  • Sanjay S, Bharti GS, Manish G, et al. Metabolic syndrome: an independent risk factor for erectile dysfunction. Indian J Endocrinol Metab 2015; 19 (2): 277– 282.