| Literature DB >> 30976039 |
Wenying Li1, Kai Chen1, Jinping Zhang2, Xiaohong Wang3, Guangyu Xu4, Yinghong Zhu1, Yan Lv1.
Abstract
Inflammation has been known to affect endothelial function and is involved in the progression of erectile dysfunction (ED). Thus, our present study was conducted to investigate the association between inflammatory marker high-sensitivity C-reactive protein (hs-CRP) and ED in a Chinese male population. A total of 1515 participants with anthropometric measurements, serum analyses and hs-CRP values available were included in our cross-sectional study. Data involving socioeconomic and lifestyle factors were also collected. ED was assessed by the 5-item International Index Erectile Function (IIEF-5), and hs-CRP levels were measured by the immunoturbidimetric assay. Logistic regression was applied to estimate the association between the serum hs-CRP and the risk of ED, and receiver operating characteristics (ROC) curve analysis was performed to identify the predictive value of hs-CRP. Serum hs-CRP levels were significantly higher in ED patients, and increased progressively with the incremental severity of ED (P < 0.001 for trend). In the multivariate-adjusted model, men in the highest quartile of hs-CRP level versus those in the lowest quartile had a 50% increased likelihood for ED (OR = 1.50; 95% CI = 1.08-2.08). When subjects were stratified by age, the risk of ED was more prominently in the middle-aged and elderly men. Based on the ROC analysis, serum hs-CRP has a poor diagnostic value for ED with an AUC of 0.58 (95% CI: 0.56-0.61) but has a good diagnostic performance for differentiating severe ED (AUC: 0.79; 95% CI: 0.77-0.81). Our study indicates that increased serum hs-CRP levels are associated with the severity of ED and an increased ED risk in a Chinese male population. These findings suggest that hs-CRP may be of value as an inflammatory marker for the assessment of ED risk and may play an important role in the etiology of ED.Entities:
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Year: 2019 PMID: 30976039 PMCID: PMC6459846 DOI: 10.1038/s41598-019-42342-3
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flow chart for selection of study participants.
Baseline characteristics in subjects according to presence of erectile dysfunction.
| Variable* | Erectile dysfunction (n = 597) | No erectile dysfunction (n = 918) | |
|---|---|---|---|
| Age (y) | 38 (31, 46) | 34 (28, 40) | <0.001 |
| IIEF-5 | 17 (14, 19) | 23 (22, 24) | <0.001 |
| SBP (mm Hg) | 120 (110, 130) | 118 (110, 126) | 0.004 |
| DBP (mm Hg) | 80 (70, 84) | 78 (70, 80) | 0.024 |
| BMI (kg/m2) | 23.45 (20.98, 25.73) | 23.03 (20.79, 25.27) | 0.098 |
| FBG (mmol/L) | 5.47 ± 1.41 | 5.31 ± 1.21 | <0.001 |
| TG (mmol/L) | 1.18 (0.80, 1.90) | 1.17 (0.78, 1.74) | 0.292 |
| HDL-C (mmol/L) | 1.35 (1.17, 1.57) | 1.35 (1.18, 1.58) | 0.945 |
| LDL-C (mmol/L) | 3.0 (2.52, 3.52) | 2.88 (2.41, 3.40) | 0.004 |
| TC (mmol/L) | 5.74 (5.06, 6.49) | 5.53 (4.94, 6.19) | <0.001 |
| TT (ng/ml) | 6.07 ± 1.96 | 6.29 ± 1.90 | 0.030 |
| hs-CRP (mg/L) | 0.66 (0.31, 1.53) | 0.48 (0.21, 1.03) | <0.001 |
| Never | 251 (42.1) | 428 (46.6) | 0.08 |
| Former | 27 (4.5) | 30 (3.3) | 0.21 |
| Current | 319 (53.4) | 460 (50.1) | 0.206 |
| Alcohol consumption, (%) | 508 (85.1) | 782 (85.2) | 0.96 |
| Physical activity, (%) | 209 (35.0) | 346 (37.7) | 0.29 |
*Median (interquartile range) or percentage.
†Differences between means were compared using unpaired Student’s t test or Mann-Whitney U test; Categorical variables were compared by χ2 test.
Abbreviations: SBP, systolic blood pressure; DBP, diastolic blood pressure; BMI, Body mass index;WC, waist circumference; FBG; fasting blood glucose; TG, triglyceride; TC, total cholesterol;HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TT, total testosterone; hs-CRP, High-sensitivity C-reactive protein.
Figure 2The serum levels of hs-CRP across different severities of ED groups.
Logistic regression analysis and age-stratified analyses results for the association between serum hs-CRP levels and ED.
| Variable | Number | Unadjusted | Age-adjusted | Multivariate-adjusted* | |||
|---|---|---|---|---|---|---|---|
| ALL participants | (n = 1515) | OR (95% CI) | OR (95% CI) | OR (95% CI) | |||
|
| |||||||
| Q1 (<0.24 mg/L) | 377 | 1 | 1 | 1 | 1 | 1 | 1 |
| Q2 (0.24–0.53 mg/L) | 372 | 1.19 (0.88, 1.61) | 0.258 | 1.10 (0.80, 1.49) | 0.563 | 1.08 (0.79, 1.48) | 0.62 |
| Q3 (0.54–1.22 mg/L) | 380 | 1.47 (1.09, 1.98) | 0.011 | 1.20 (0.88, 1.63) | 0.257 | 1.19 (0.87, 1.64) | 0.283 |
| Q4 (>1.22 mg/L) | 386 | 1.80 (1.35, 2.42) | <0.001 | 1.51 (1.12, 2.05) | 0.008 | 1.50 (1.08, 2.08) | 0.015 |
| <0.001 | <0.001 | 0.003 | |||||
| Young group | (n = 985) | ||||||
| Q1 (<0.20 mg/L) | 259 | 1 | 1 | 1 | 1 | 1 | 1 |
| Q2 (0.21–0.47 mg/L) | 243 | 1.18 (0.80, 1.74) | 0.395 | 1.15 (0.78, 1.69) | 0.44 | 1.18 (0.80, 1.75) | 0.406 |
| Q3 (0.48–1.16 mg/L) | 246 | 1.40 (0.96, 2.04) | 0.083 | 1.34 (0.91, 1.96) | 0.137 | 1.41 (0.94, 2.10) | 0.093 |
| Q4 (>1.16 mg/L) | 237 | 1.62 (1.11, 2.37) | 0.012 | 1.56 (1.07, 2.28) | 0.022 | 1.72 (1.13, 2.59) | 0.011 |
| Middle aged and elderly group | (n = 530) | ||||||
| Q1 (<0.32 mg/L) | 132 | 1 | 1 | 1 | 1 | 1 | 1 |
| Q2 (0.33–0.67 mg/L) | 133 | 1.22 (0.75, 1.98) | 0.42 | 1.21 (0.74, 1.99) | 0.441 | 1.13 (0.68, 1.89) | 0.628 |
| Q3 (0.68–1.42 mg/L) | 133 | 1.42 (0.87, 2.30) | 0.157 | 1.30 (0.79, 2.13) | 0.307 | 1.17 (0.70, 1.97) | 0.553 |
| Q4 (>1.42 mg/L) | 132 | 2.46 (1.50, 4.04) | <0.001 | 2.31 (1.39, 3.84) | 0.001 | 2.02 (1.18, 3.47) | 0.011 |
| <0.001 | <0.001 | <0.001 | |||||
*Logistic regression models were performed to estimate the odds ratios (ORs) and 95% confidence intervals (CIs); P values were calculated by logistic-regression analyses and adjusting for age, BMI, testosterone, smoking, alcohol use, physical activity, diabetes, hypertension and dyslipidemia in the multivariate-adjusted model.
Figure 3ROC curves analysis show the results of serum hs-CRP prediction in different severity of ED subgroups (including ROC curve graph with 95% Confidence bounds). (A) ROC curve for differentiating ED patients. AUC was 0.58 (95% CI: 0.56–0.61), and the cutoff value, sensitivity, and specificity were 0.37 mg/L, 70.2%, and 42.2%, respectively. (B) ROC curve for differentiating mild to severe ED. AUC was 0.63 (95% CI: 0.61–0.66), and the cutoff value, sensitivity, and specificity were 1.09 mg/L, 44.4%, and 76.3%, respectively. (C) ROC curve for differentiating moderate to severe ED. AUC was 0.71 (95% CI: 0.68–0.73), and the cutoff value, sensitivity, and specificity were 1.11 mg/L, 59.1%, and 74.2%, respectively. (D) ROC curve for differentiating severe ED. AUC was 0.79 (95% CI: 0.77–0.81), and the cutoff value, sensitivity, and specificity were 2.98 mg/L, 50.0%, and 93.3%, respectively.