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Lack of awareness of erectile dysfunction in many men with risk factors for erectile dysfunction.

ABSTRACT: Men with erectile dysfunction often have concurrent medical conditions. Conversely, men with these conditions may also have underlying erectile dysfunction. The prevalence of unrecognized erectile dysfunction in men with comorbidities commonly associated with erectile dysfunction was determined in men invited to participate in a double-blind, randomized, placebo-controlled trial of sildenafil citrate.Men ?30 years old presenting with ?1 erectile dysfunction risk factor (controlled hypertension, hypercholesterolemia, smoking, metabolic syndrome, stable coronary artery disease, diabetes, depression, lower urinary tract symptoms, obesity [body mass index ?30 kg/m2] or waist circumference ?40 inches), and not previously diagnosed with erectile dysfunction were evaluated. The screening question, "Do you have erectile dysfunction?," with responses of "no," "yes," and "unsure," and the Erectile Function domain of the International Index of Erectile Function (IIEF-EF) were administered.Of 1084 men screened, 1053 answered the screening question and also had IIEF-EF scores. IIEF-EF scores indicating erectile dysfunction occurred in 71% (744/1053), of whom 54% (399/744) had moderate or severe erectile dysfunction. Of 139 answering "yes," 526 answering "unsure," and 388 answering "no," 96%, 90%, and 36%, respectively, had some degree of erectile dysfunction. The mean±SD (range) number of risk factors was 2.9 ± 1.7 (3-8) in the "yes" group, 3.2 ± 1.7 (3-9) in the "unsure" group, and 2.6 ± 1.5 (2-8) in the "no" group.Although awareness of having erectile dysfunction was low, most men with risk factors had IIEF-EF scores indicating erectile dysfunction. Erectile dysfunction should be suspected and assessed in men with risk factors, regardless of their apparent level of awareness of erectile dysfunction.ClinicalTrials.gov Identifier NCT00343200.

SUBMITTER: Shabsigh R

PROVIDER: S-EPMC2991280 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature

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Lack of awareness of erectile dysfunction in many men with risk factors for erectile dysfunction.

Shabsigh Ridwan R Kaufman Joel J Magee Michelle M Creanga Dana D Russell David D Budhwani Meeta M

BMC urology 20101105

<h4>Background</h4>Men with erectile dysfunction often have concurrent medical conditions. Conversely, men with these conditions may also have underlying erectile dysfunction. The prevalence of unrecognized erectile dysfunction in men with comorbidities commonly associated with erectile dysfunction was determined in men invited to participate in a double-blind, randomized, placebo-controlled trial of sildenafil citrate.<h4>Methods</h4>Men ≥30 years old presenting with ≥1 erectile dysfunction ris ...[more]

PMID: 21054874

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Project description:IntroductionErectile dysfunction (ED) is a common diagnosis in up to 50% of men with HIV and prescription of erectile dysfunction medication (EDM) has been variably associated with increased risk behaviors and acquisition of sexually transmitted infections (STIs).AimWe measured the association of EDM prescription with bacterial STI testing, STI infection and sexual behavior among men engaged in HIV care.MethodsA retrospective cohort study was conducted among HIV-infected men in care at an urban HIV clinic in Birmingham, Alabama between 2008 and 2016. Paired data analysis was used to compare STI testing and behavioral outcomes during the 12-month period before and after EDM prescription.Main outcome measuresOur study outcomes were STI testing and infection rates for Chlamydia trachomatis (CT), Neisseria gonorrhoeae (GC) and incident syphilis as well as risk behaviors before and after EDM prescription.ResultsOf 2924 HIV-infected men engaged in care, 589 (20%) initiated EDM with a new prescription from a clinic provider during the study period. During the year after EDM prescription, all STI testing rates decreased: CT (OR = 0.76; 95% CI: 0.58 - 1.01; P = .06), GC (OR = 0.76; 95% CI: 0.58 - 1.01; P = .06), and syphilis (OR = 0.28; 95% CI: 0.20 - 0.38; P < .001). A total of 43 STIs were detected in this study (10 CT, 8 GC, and 25 syphilis) and 42/43 occurred among men who have sex with men (MSM). Sexual activity rates were high before and after EDM (87.6% vs 82.9%; P = .08), and consistent condom use was rare (6.6% in both time periods). After EDM prescription, the median number of sexual partners in the past 6 months decreased from 2 to 1 among MSM and was stable at 1 among men who have sex with women.Clinical implicationManagement of ED in HIV clinic provides an excellent opportunity to discuss risk reduction, safer sex practices, and the importance of routine STI screening to prevent HIV/STI transmission.Strength & limitationsThis study provides insight into a common but understudied clinical scenario-ED in men with HIV-in an urban clinic population that is representative of the Southeastern United States. Adherence for ED medication was not assessed and STI risk behaviors were self-reported.ConclusionEDM prescription did not lead to any detectable change in risk behavior in this setting but bacterial STI was common among MSM who were tested. Heudebert JP, Tamhane A, Burkholder GA, Dionne-Odom J. Erectile Dysfunction Medication Prescription: STI and Risk Behavior in Men with HIV. J Sex Med 2019;16:691-700.

Project description:BACKGROUND:Clinical study and practice data have shown sildenafil improves sexual function in men with erectile dysfunction (ED). However, some men treated with placebo in double-blind, placebo-controlled sildenafil studies also report improved erectile function as measured by International Index of Erectile Function (IIEF)-Erectile Function Domain (EFD) scores. AIM:This analysis estimated the relationship between post-baseline IIEF-EFD scores and demographic variables, including co-morbidities, in men with ED receiving placebo in flexible-dose sildenafil studies. METHODS:Placebo-treated participants in the intent-to-treat population of 42 double-blind, placebo-controlled, flexible-dose, sildenafil studies were included. A participant was classified as a placebo responder if the IIEF-EFD score was ≥26 at the last visit. OUTCOMES:Variables assessed were age (<45, 45-64, ≥65 years), race, body mass index, co-morbidities (cardiovascular disease/hypertension, diabetes mellitus, depression), date the last study dose was taken, study completion date, ED etiology (psychogenic, organic, mixed), history of cigarette smoking, ED duration, baseline IIEF-EFD score (≤10, 11-16, ≥17), and treatment duration. Stepwise multivariate logistic regression models assessed the odds of being a responder vs a non-responder for each variable. RESULTS:A total of 4,360 men were included; 13.5% were responders. Odds estimates indicated the largest likelihood of placebo response occurred in men who were black (odds = 20.2, P < .0001), were younger than 45 years (odds = 7.3, P < .0001), had mild ED (baseline IIEF-EFD ≥17; odds >100, P < .0001), and did not have diabetes (odds = 4.5, P < .0001). The likelihood of a placebo response decreased as ED duration increased (odds = 0.74, P < .0001). The frequency of common adverse events was similar between placebo responders and non-responders. CLINICAL TRANSLATION:These findings contribute to the improved understanding of predictors of placebo response in sildenafil clinical studies. Elucidation of these factors may contribute to the development of further interventions and treatment strategies and best practices for clinical trials. STRENGTHS AND CONCLUSIONS:Strengths of this analysis include the large and diverse population and the duration of follow-up. Limitations include those associated with retrospective analyses and the inability to ascertain to what extent other demographic factors might have contributed to the placebo responses or how these placebo responses might be related to the natural course of ED. CONCLUSIONS:Certain demographics, co-morbidities, and condition characteristics predicted the odds of a placebo response in sildenafil clinical studies of ED. Underlying reasons behind a placebo response warrant further evaluation. Mulhall JP, Carlsson M, Stecher V, et al. Predictors of Erectile Function Normalization in Men With Erectile Dysfunction Treated With Placebo. J Sex Med 2018;15:866-872.

Project description:IntroductionThe causal association between modifiable risk factors and erectile dysfunction (ED) remains unclear, which hinders the early identification and intervention of patients with ED. The present study aimed to clarify the causal association between 42 predominant risk factors and ED.MethodsUnivariate Mendelian Randomization (MR), multivariate MR, and mediation MR analyses were used to investigate the causal association between 42 modifiable risk factors and ED. Combined results were pooled from two independent ED genome-wide association studies to verify the findings.ResultsGenetically predicted body mass index (BMI), waist circumference, trunk fat mass, whole body fat mass, poor overall health rating, type 2 diabetes, basal metabolic rate, adiponectin, cigarette consumption, insomnia, snoring, hypertension, stroke, ischemic stroke, coronary heart disease, myocardial infarction, heart failure, and major depressive disorder were found to increase the risk of ED (all P < 0.05). Additionally, genetic liability to higher body fat percentage and alcohol consumption were suggestively associated with an increased risk of ED (P < 0.05 and adjusted P > 0.05). Genetic predisposition to higher sex hormone-binding globulin (SHBG) levels could decrease the risk of ED (P < 0.05). No significant association was detected between lipid levels and ED. Multivariate MR identified type 2 diabetes, basal metabolic rate, cigarette consumption, hypertension, and coronary heart disease as risk factors for ED. The combined results confirmed that waist circumference, whole body fat mass, poor overall health rating, type 2 diabetes, basal metabolic rate, adiponectin, cigarette consumption, snoring, hypertension, ischemic stroke, coronary heart disease, myocardial infarction, heart failure, and major depressive disorder could increase the risk of ED (all P < 0.05), while higher SHBG decreased the risk of ED (P = 0.004). There were suggestive significances of BMI, insomnia, and stroke on ED (P < 0.05 and adjusted P > 0.05).ConclusionThis comprehensive MR study supported the causal role of obesity, type 2 diabetes, basal metabolic rate, poor self-health rating, cigarette and alcohol consumption, insomnia and snoring, depression, hypertension, stroke, ischemic stroke, coronary heart disease, myocardial infarction, heart failure, SHBG, and adiponectin in the onset and development of ED.

Project description:IntroductionSeveral studies have investigated the association between erectile dysfunction (ED), its treatment, and female sexual dysfunction, but the impact of males blaming their female partners for their ED remains unknown.AimsTo investigate whether women who are blamed by their male partners for their ED experience worse overall sexual function and satisfaction.MethodsWe performed a global, cross-sectional web-based survey to investigate female perceptions of ED. We distributed the 30-item survey via email, Reddit, Amazon Mechanical Turk, and Facebook. Women 18 years of age or older were eligible to participate and answered questions based on a 5-point Likert scale. Women were grouped by ages 18-29, 30-39, and 40 and older.Main outcome measuresThe survey collected data that included general demographics and questions regarding experiencing male blame for ED and its relationship with each subject's sexual health and wellness.ResultsA total of 13,617 females participated in the survey. Of the women surveyed, 79% have experienced their partner losing their erection during sexual activity and approximately 1 out of 7 women (14.7%) had experienced being blamed by their partner for loss of their erection. Women who were blamed for their partner's ED were more likely to end the sexual encounter, were less sexually satisfied, and were more likely to end relationships due to their partner's ED.ConclusionApproximately 1 out of 7 women have experienced male blame for their partner's ED which is associated with negative impacts on female mental health, sexual satisfaction and the success of the overall partnership. Because of its widespread impact on female wellness, male blame should be considered during evaluation of female sexual history and men must be educated on the significant impact their reactions during intimacy have on their female partners and their relationships as a whole. Dubin JM, Wyant WA, Balaji NC, et al. Is Female Wellness Affected When Men Blame Them for Erectile Dysfunction?. Sex Med 2021;9:100352.

Project description:BackgroundThe causal relationship between certain lifestyle factors and erectile dysfunction (ED) is still uncertain.AimThe study sought to investigate the causal effect of 9 life factors on ED through 2-sample single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomization (MVMR).MethodsGenetic instruments to proxy 9 risk factors were identified by genome-wide association studies. The genome-wide association studies estimated the connection of these genetic variants with ED risk (n = 223 805). We conducted SVMR, inverse variance-weighting, Cochran's Q, weighted median, MR-Egger, MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier), and MVMR analyses to explore the total and direct relationship between life factors and ED.OutcomesThe primary outcome was defined as self or physician-reported ED, or using oral ED medication, or a history of surgery related to ED.ResultsIn SVMR analyses, suggestive associations with increased the risk of ED were noted for ever smoked (odds ratio [OR], 5.894; 95% confidence interval [CI], 0.469 to 3.079; P = .008), alcohol consumption (OR, 1.495; 95% CI, 0.044 to 0.760; P = .028) and body mass index (BMI) (OR, 1.177; 95% CI, 0.057 to 0.268; P = .003). Earlier age at first intercourse was significantly related to reduced ED risk (OR, 0.659; 95% CI, -0.592 to -0.244; P = 2.5 × 10-6). No strong evidence was found for the effect of coffee intake, time spent driving, physical activity, and leisure sedentary behaviors on the incidence of ED (All P > .05). The result of MVMR analysis for BMI (OR, 1.13; 95% CI, 1.01 to 1.25; P = .045) and earlier age at first intercourse (OR, 0.77; 95% CI, 0.56 to 0.99; P = .018) provided suggestive evidence for the direct impact on ED, while no causal factor was detected for alcoholic drinks per week and ever smoked.Clinical implicationsThis study provides evidence for the impact of certain modifiable lifestyle factors on the development of ED.Strengths and limitationsWe performed both SVMR and MVMR to strengthen the causal relationship between exposures and outcomes. However, the population in this study was limited to European ancestry.ConclusionEver smoked, alcoholic drinks per week, BMI, and age first had sexual intercourse were causally related to ED, while the potential connection between coffee intake, physical activity, recreational sedentary habits, and increased risk of ED needs to be further confirmed.

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Lack of awareness of erectile dysfunction in many men with risk factors for erectile dysfunction.

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Lack of awareness of erectile dysfunction in many men with risk factors for erectile dysfunction.

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