Performance of the IIEF-5 Score for Erectile Dysfunction in Predicting Silent Myocardial Ischaemia in Patients Living with Type 2 Diabetes ()
1. Introduction
Cardiovascular disease is the leading cause of death in patients with type 2 diabetes. The common pathophysiological mechanism is based on endothelial dysfunction. It is aggravated by chronic hyperglycaemia and insulin resistance. These phenomena are also involved in erectile dysfunction in patients with type 2 diabetes [1]. Moreover, a correlation has been suggested between ED and CVD, making ED a potential early marker of symptomatic CVD [2] [3]. One of the specific features of myocardial damage in T2D patients is its silent nature, making early detection crucial to prevent cardiovascular mortality in these patients. Although the European Society of Cardiology (ESC) recommends targeted, risk-stratified screening, access to screening tools in developing countries may be limited [4] [5]. It was therefore essential to study the relationship between erectile dysfunction and silent myocardial ischaemia in people with type 2 diabetes. The aim was to prevent the occurrence of silent ischaemia and optimise the management of these patients.
2. Method
2.1. Study Design
We conducted a cross-sectional, analytical study over 8 months (November 2023 to June 2024) at the Endocrinology and Metabolic Diseases Department of the Yaoundé Central Hospital.
2.2. Inclusion Criteria
We included adult men between the ages of 35 and 65 years, with type 2 diabetes who gave their informed consent.
2.3. Exclusion Criteria
The following were excluded:
Any patient with clinical signs of hypogonadism or sexual differentiation disorder.
Any subject with psychogenic disorders.
Any subject on antidepressant treatment or other medications that alter erectile function.
Any subject with a foot ul who could not perform a stress electrocardiogram.
Any subject who had undergone urogenital surgery.
2.4. Sample Size Determination: We Used Consecutive Non-Exhaustive Sampling
We used the Whitney and Ball’s formula for calculating the appropriated sample size.
[6]
n = number of subjects required in each subgroup.
P1 is the proportion of silent myocardial ischemia in T2D patients: 58% [7].
P2 is the proportion of silent myocardial ischemia in asymptomatic T2D patients: 19% [8].
The minimum sample size was 34 participants.
2.5. Assessment of Erectile Dysfunction
Erectile function was assessed using the IIEF-5 (International Index of Erectile Function 5-item version) questionnaire. This is a self-administered questionnaire consisting of five questions, with answers scored from 0 to 5 per question. After completing the questionnaire, patients were classified as follows: severe erectile dysfunction (5 - 10), moderate (11 - 15), mild (16 - 20). Erectile function was considered normal (21 - 25) or uninterpretable (1 - 4).
2.6. Silent Myocardial Ischemia Screening
SMI was screened for by performing an ECG at rest and then during exercise in all patients. The stress ECG was performed on an ergonomic bicycle. The test was graded and standardised, performed in frequency increments, taking into account the age of each patient. The theoretical maximum frequency (TMF) was calculated using the formula 220-age. During the test, blood pressure and heart rate were regularly recorded. The test was interrupted in the event of: a positive test result, exhaustion of the participant, and the occurrence of complications (severe hypertension, hypotension, threatening ventricular hyperexcitability). Monitoring and recording continued for up to ten minutes after the exercise (recovery).
Interpretation of the stress test: the following ECG abnormalities suggestive of SMI are described in Table 1 below.
Table 1. Repolarisation changes suggestive of myocardial ischaemia.
Horizontal or downsloping ST segment depression ≥ 1 mm, 60 - 80 ms after the J point |
Upsloping ST segment depression ≥ 1.5 mm, 80 ms after point J |
ST segment elevation ≥ 1 mm |
ST/HR index ≥ 1.6 µV/beats.min−1 |
Clockwise ST/HR loop |
2.7. Statistical Analyses
The statistical tests used were the Chi-square and Fischer tests with a statistical significance threshold of p < 0.05. The precision-recall curve was used to evaluate the performance of the IIEF-5 total score in predicting silent myocardial ischaemia.
3. Results
3.1. Characteristics of the Study Population
54 participants were selected. The average age of participants was 53.9 ± 8.9 years, and the majority were in a relationship (77.4%). The average duration of diabetes was 2.4 ± 1 years. Clinically, the average BMI was 27.4 kg/m2. Abdominal obesity was present in 14 (26.4%) of the participants. The majority of participants were hypertensive (94.4%). Tobacco use was present in 37% (n = 20), while 88.7% consumed alcohol. Physical activity level was low in 48% of participants (Tables 2-3).
Table 2. Clinical characteristics of participants.
|
Modality |
Mean |
Median |
Range |
Maximum |
Minimum |
Counts |
Frequency |
BMI (Kg/m2) |
|
27.4 |
27. |
21.9 |
43 |
21.1 |
|
|
Abdominal circumference (cm) |
|
71 |
67 |
93 |
128 |
35 |
|
|
SBP (mmHg) |
|
127 |
127 |
63 |
159 |
96 |
|
|
DBP (mmHg) |
|
79 |
79 |
52 |
102 |
50 |
|
|
Hypertension |
grade I |
|
|
|
|
|
17 |
94.4% |
grade II |
|
|
|
|
|
0 |
0% |
grade III |
|
|
|
|
|
1 |
5.6% |
Android obesity |
Yes |
|
|
|
|
|
14 |
26.4% |
No |
|
|
|
|
|
39 |
73.6% |
Table 3. Comorbidities of participants.
Comorbidity |
Modality |
Counts (n = 54) |
Frequency (%) |
Smoking |
Yes |
20 |
37.03% |
No |
35 |
66.0% |
Alcohol |
Yes |
47 |
88.7% |
No |
6 |
11.3% |
Hypertension |
Yes |
19 |
36.5% |
No |
33 |
63.5%c |
3.2. Assessment of Erectile Dysfunction
3.2.1. Frequency, Severity and Associated Factors
The prevalence of ED in the population was 54.7% (n = 29). It was severe in 15.1% of cases according to the IIEF-5 score (Table 4).
Table 4. Prevalence and severity of erectile dysfunction in our study population (N = 54).
Variables |
Modality |
Counts |
Frequency |
Erectile dysfunction |
Yes |
29 |
54.7% |
No |
24 |
45.3% |
Classification of erectile dysfunction according to the
IIEF-5 score |
Severe erectile dysfunction (5 to 10) |
8 |
15.1% |
Moderate (11 to 15) |
4 |
7.5% |
Mild (16 to 20) |
17 |
32.1% |
Normal erectile function (21 to 25) |
23 |
43.4% |
Uninterpretable (1 to 4) |
1 |
1.9% |
3.2.2. Associated Factors with ED
ED was compared within the study population according to various clinical variables (age, duration of diabetes, chronic complications, BMI, abdominal obesity and hypertension). The bivariate analysis revealed a significant association between current smoking (p = 0.016) and erectile dysfunction, with a higher risk of ED among smokers (OR = 0.67; 95% CI: (0.000 - 248.349). In addition, high alcohol consumption (>20 g/day) tends to be associated with an increased risk of ED (OR = 25.10; 95% CI: 0.016 - 39061.973). Analysis of IIEF-5 scores by age group reveals an increase in erectile dysfunction with age (Table 5).
Table 5. Factors associated with erectile dysfunction in the sample: results of bivariate analysis.
|
Erectile Dysfunction |
|
|
Yes n = 29 |
No = 24 |
P-values |
OR (CI 95%) |
Count |
Column N % |
Count |
Column N % |
|
|
Duration of diabetes (months) |
<24 |
6 |
20.7% |
9 |
37.5% |
0.176 |
0.000 |
>24 |
23 |
79.3% |
15 |
62.5% |
|
|
Age (years) |
]45 |
4 |
13.8% |
8 |
33.3% |
0.29 |
3.171 (0.075 - 134.671) |
]46 - 53] |
5 |
17.2% |
5 |
20.8% |
|
|
]54 - 60] |
9 |
31.0% |
6 |
25.0% |
|
|
]61-[ |
11 |
37.9% |
5 |
20.8% |
|
|
ARB II |
Yes |
3 |
21.4% |
2 |
33.3% |
0.57 |
1.095 (0.016 - 73.544) |
No |
11 |
78.6% |
4 |
66.7% |
|
|
ACE i |
Yes |
5 |
35.7% |
2 |
33.3% |
0.91 |
0.989 (0.006 - 158.228) |
No |
9 |
64.3% |
4 |
66.7% |
|
|
Alcohol intake |
Yes |
27 |
93.1% |
20 |
83.3% |
0.264 |
25.10 (0.016 - 39061.973) |
No |
2 |
6.9% |
4 |
16.7% |
|
|
Smoking |
Yes |
14 |
48.3% |
4 |
16.7% |
0.016 |
0.67 (0.000 - 248.349) |
No |
15 |
51.7% |
20 |
83.3% |
|
|
BMI (kg/m2) |
<= 25.0 |
13 |
44.8% |
8 |
33.3% |
0.394 |
1.625 (0.530 - 4.984) |
> 25.0 |
16 |
55.2% |
16 |
66.7% |
|
|
Active smoking |
Yes |
2 |
14.3% |
0 |
0.0% |
0.037 |
74016678835.532070 |
No |
12 |
85.7% |
5 |
100.0% |
|
|
Android obesity |
Yes |
8 |
27.6% |
6 |
25.0% |
0.832 |
0.000 |
No |
21 |
72.4% |
18 |
75.0% |
|
|
3.3. Screening for SMI
3.3.1. Prevalence of Silent Myocardial Ischaemia and Associated Factors
The prevalence of SMI in the overall study population was 49.1% (n = 26). It was 48.3% (14/29) in participants with ED and 50% in patients without ED (12/24). Upto 21% had an ST/HR index abnormality above 1.6 µv/beats min. Moreover, 17.6% had ST segment elevation above 1 mm. Most participants had a combination of several abnormalities. There was a non-significant association between SMI, abdominal obesity (OR = 0.511, p = 0.184) and BMI ≥ 25 (OR = 0.729, p = 0.196) (Table 6).
Table 6. Factors associated with silent myocardial ischaemia.
|
Silent myocardial ischaemia |
|
|
Yes |
No |
p-values |
OR (CI 95%) |
Counts (n) |
Frequency (%) |
Counts (n) |
Frequency (%) |
|
|
Hypertension |
Yes |
11 |
44.0% |
8 |
29.6% |
0.282 |
1.866 (0.595 - 5.851) |
No |
14 |
56.0% |
19 |
70.4% |
|
|
Smoking |
Yes |
7 |
26.9% |
11 |
40.7% |
0.288 |
0.521 (0.109 - 2.500) |
No |
19 |
73.1% |
16 |
59.3% |
|
|
Alcohol |
Yes |
21 |
80.8% |
26 |
96.3% |
0.075 |
0.128 (0.009 - 1.903) |
No |
5 |
19.2% |
1 |
3.7% |
|
|
Android Obesity |
Yes |
9 |
34.6% |
5 |
18.5% |
0.184 |
0.511 (0.064 - 4.111) |
No |
17 |
65.4% |
22 |
81.5% |
|
|
BMI (kg/m2) |
<= 25.0 |
8 |
30.8% |
13 |
48.1% |
0.196 |
0.729 (0.152 - 3.494) |
> 25.0 |
18 |
69.2% |
14 |
51.9% |
|
|
Duration of diabetes (months) |
<24 |
8 |
30.8% |
7 |
25.9% |
0.153 |
4.21 (0.080 - 2.115) |
>24 |
18 |
69.2% |
20 |
74.1% |
|
|
Age (years) |
]45 |
5 |
19.2% |
7 |
25.9% |
0.590 |
0.807 (0.434 - 1.499) |
]46 - 53] |
5 |
19.2% |
5 |
18.5% |
|
|
]54 - 60] |
6 |
23.1% |
9 |
33.3% |
|
|
]61-[ |
10 |
38.5% |
6 |
22.2% |
|
|
Resting ECG |
Normal |
10 |
38.5% |
14 |
53.8% |
0.266 |
0.576 (1.43- 2.325) |
Abnormal |
16 |
61.5% |
12 |
46.2% |
|
|
Diabetes complications |
stroke |
0 |
0.0% |
1 |
20.0% |
0.262 |
0.726 (0.382-1.380) |
Signs of PAD |
2 |
25.0% |
1 |
20.0% |
|
|
CKD |
1 |
12.5% |
1 |
20.0% |
|
|
Diabetic foot ulcer |
4 |
50.0% |
0 |
0.0% |
|
|
Other |
1 |
12.5% |
2 |
40.0% |
|
|
3.3.2. Relationship between SMI and Erectile Dysfunction
We observed a non-significant association between a total erectile dysfunction score ≥ 16 (OR = 4.485, p = 0.406) and silent myocardial ischaemia. Both precision-recall curves, showed moderate to high precision. However, precision decreases as recall increases, meaning that the model becomes less accurate as it seeks to identify more cases (Figure 1).
Figure 1. Precision-recall curve for the prediction of erectile dysfunction with the IIEF5 total score in the presence of silent myocardial ischaemia.
4. Discussion
Silent myocardial ischaemia and erectile dysfunction share a common pathophysiological mechanism involving endothelial dysfunction.
In order to assess whether erectile dysfunction could be a risk marker for silent myocardial ischaemia in type 2 diabetes, patients completed the IIEF-5 questionnaire to assess erectile function and we performed stress ECGs.
The results of our study show that the frequency of silent myocardial ischaemia was as high in patients with ED as in those without ED. However, its severity increased with age. Meena et al. found similar results. In this study, cardiovascular risk was higher in patients with ED compared to those without ED and was more common in participants of age 60 years and above [9]. Indeed, there are physiological changes associated with age. Firstly, the gradual decline in testosterone could be one of the factors linked to the severity of ED, but also the coexistence of other complications, particularly age-related arteriosclerosis, which would explain not only the high frequency of ED at this age, but also its pronounced severity [10].
Furthermore, the high frequency of ED also depends on the presence of other factors. Indeed, we observed a significant association between current smoking (p = 0.016) and erectile dysfunction (ED), with a higher risk of ED among smokers (OR = 0.67; 95% CI: 0.000 - 248.349). These results corroborate those of Paolo Verze et al., who found a significant association between current tobacco use and erectile dysfunction, and that quitting smoking was beneficial for the return to normal erectile function [11]. In Italy, Natali found a high prevalence of ED among current smokers (53.5%) compared to former smokers (9.3%) and those who had never smoked (37.2%) [12].
The study suggests an association between a total erectile dysfunction score ≥ 16 (OR = 4.485, p = 0.406) and silent myocardial ischaemia (SMI). These results are consistent with other published studies demonstrating a significant association between ED and SMI [12] [13].
Furthermore, the precision-recall curves evaluating the performance of the total IIEF-5 score in predicting silent myocardial ischaemia show that both curve for absent or present ischemia showed moderate to high precision, indicating that the IIEF-5 score can predict both the presence and absence of ischaemia. However, accuracy decreases as recall increases, meaning that the model becomes less accurate as it seeks to identify more cases. Thus, although the IIEF-5 score has predictive value, it is not perfect and its accuracy depends on the desired level of recall. This result is similar to that proposed by Syndey C et al. in South Asia, which demonstrated that IIEF-5 scores were sufficient to predict the severity of coronary artery disease in T2D subjects [14]. Gazzaruso et al. demonstrated that ED could predict major cardiac events in patients with diabetes (95% confidence interval 1.6 - 2.6; p < 0.001) [15].
5. Conclusion
SMI is present in diabetic patients with and without ED. Although there is no significant association between these two entities, ED may be predictive of SMI in patients with diabetes and warrant systematic screening.