The Relationship Between Hematologic Parameters and Erectile Dysfunction

Inflammatory biomarkers may predict response to phosphodiesterase type 5 inhibitor treatment in patients with erectile dysfunction

PURPOSE

In this study, we aimed to evaluate the clinical utility of the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and monocyte/high-density lipoprotein cholesterol ratio (MHR) in predicting response to a phosphodiesterase type 5 inhibitor (PDE5i) when used as the first-line medical treatment of erectile dysfunction (ED).

MATERIALS AND METHODS

This study prospectively included 185 patients who were diagnosed with ED and started PDE5i treatment. After PDE5i treatment, 107 (57.8%) patients with an International Index of Erectile Function-5 (IIEF-5) score below 22 were assigned to Group 1, and 78 (42.2%) patients with an IIEF-5 score of 22 or above were assigned to Group 2. The outcome measures of the study were demographic characteristics and inflammation markers between the groups.

RESULTS

The mean IIEF-5 change after PDE5i treatment was 6.1±4.2 points in Group 1 and 11.5±3.2 points in Group 2 (p=0.001). The mean age was 54.6±9.2 years in Group 1 and 47.8±10.3 years in Group 2 (p<0.001), and the median fasting blood glucose values of Groups 1 and 2 were 105 (36) mg/dL and 97 (23) mg/dL, respectively (p=0.010). The LMR and MHR values were 2.39±0.23 and 13.8±7, respectively, for Group 1, and 2.03±0.22 and 17±6.6, respectively, for Group 2 (p=0.044 and p=0.002, respectively). On multivariable analysis, younger age and increased MHR were independent predictors of benefit from PDE5i treatment.

CONCLUSIONS

This study showed that only MHR as an inflammatory biomarker was an independent predictor for response to PDE5i in the treatment of ED. Also, several factors were predictive of treatment failure.

Systematic analysis between inflammation-related index and sex hormones in American adults: cross-sectional research based NHANES 2013-2016

Background

A series of novel inflammation-related indexes has been confirmed to be efficient indicators of human immune and inflammatory status, with great potential as predictors for a variety of diseases. However, the association between inflammation-related indexes and sex hormones in the general population remained uncertain.

Methods

We incorporated data from the NHANES 2013-2016 survey of American adults. On the basis of distribution and comparison analysis, we chose to undertake separate analyses of men and women (including premenopausal and postmenopausal groups). Multivariable weighted linear regression models, eXtreme Gradient Boosting (XGBoost) models, generalized linear analysis, stratified models, logistic regression models and sensitivity analysis were utilized to assess the relationships between inflammation-related indexes and sex hormones.

Results

Total 9372 participants out of 20146 were fitted into our research. We conducted separate gender analysis due to different distribution. Multivariable weighted linear regression indicated every component of the inflammation-related index was negatively correlated with at least one component of the male hormone indexes. However, SII, NLR, PPN, and NC were associated positively with female estradiol. XGBoost identify SII, PLR and NLR were the critical indexes on sex hormones. Inflammation-related indexes was associated with Testosterone deficiency in male and postmenstrual group and associated with Excessive Estradiol in premenstrual group. Finally, the subgroup analysis revealed that the association between sex hormones and inflammatory indicators was prominent in American adults over the age of 60 or those with BMI (>28 kg/m²).

Conclusion

In all, inflammation-related indexes act as independent risks associated with sex hormone alterations and metabolic disorder in both genders. Using multiple models, we revealed the relative importance of inflammation-related indexes. Subgroup analysis also identified the high-risk population. More prospective and experimental research should be conducted to validate the results.

The interplay between neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, erectile dysfunction, and Peyronie's disease: A meta-analysis of observational studies

INTRODUCTION

This study aims to investigate the relationship between Neutrophil- Lymphocyte Ratio (NLR), Platelet-Lymphocyte Ratio (PLR) with Erectile Dysfunction (ED) and Peyronie's disease (PD).

METHODS

We conducted a meta-analysis of the observational study by searching for the appropriate keywords in eight databases. The risk of publication bias of the included studies was assessed by Egger's test and Kendall's t. The data extraction was carried out for each study and analysed using Revman 5.0.

RESULTS

There were eleven eligible studies out of the 411 studies retrieved. Eight studies were conducted on cases of erectile dysfunction, and three studies on Peyronie's disease. There was a significant relationship between NLR, PLR and ED (SMD: 0.59, 95% CI: 0.33-0.85 and SMD: 0.64, 95% CI: 0.13-1.16, respectively). The same was also found for PD. The active phase of PD tended to have higher NLR (SMD: 0.68, 95% CI: 0.43-0.92) and PLR (SMD: 0.27, 95% CI: 0.06-0.49) compared to the chronic phase. No publication bias was found in both ED and PD studies.

CONCLUSIONS

NLR and PLR indicate an ongoing inflammatory process in both ED and PD. These findings can be used as markers of treatment and prognosis of both diseases in sexual health care.

A systematic review and meta-analysis of the relationship between erectile dysfunction and the neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios

Several studies were conducted to explore the association between haematological parameters and erectile dysfunction (ED), but the conclusions were contradictory with small sample size. The extensively search was conducted in PubMed, Cochrane Library and Web of science from inception to August 2021. Studies comparing the haematological parameter (at least NLR, PLR) between ED patients and healthy controls were eligible for the present meta-analysis. The differences in NLR and PLR between ED patients and healthy controls were assessed by calculating the standardised mean difference (SMD) and 95% confidence interval (95% CI). Eventually, 7 studies were remained for our meta-analysis, with a total of 929 ED patients and 737 healthy controls. For the methodological quality based on NOS, 5 studies were of high quality, scored 7, and 8. 2 studies were of moderate quality, scored 6. There were statistically significant differences in NLR values between ED patients and healthy controls, based on the pooled results (SMD: 0.53, 95% CI: 0.24-0.82). Pooled results from the 6 studies revealed that ED patients had higher PLR values than healthy controls (SMD: 0.70, 95%CI: 0.12-1.28). Our meta-analysis solidly confirmed the association between NLR, PLR and ED. Increased NLR and PLR should be independent risk factors for ED.