Is there any predictive value of testicular shear wave elastic modulus in testicular functions for varicocele patients?

This study aimed at searching the predictive values of testicular shear wave elastic modulus in testicular functions for varicocele patients. This was a prospective case-control study. We divided the participants into two groups: varicocele group and control group, the latter recruited men with normal physical examination, testicular ultrasound, semen and endocrine results. A total of 97 participants were enrolled: 67 patients in varicocele group, 30 participants in control group. There were statistical differences in left testicular shear wave elastic modulus, left testicular volume, testicular atrophy index, total sperm count, sperm concentration, sperm viability and testosterone between the two groups, between different grades in varicocele group, between different periods in varicocele group. Left testicular shear wave elastic modulus was inversely correlated with total sperm count, sperm concentration, sperm viability and testosterone. Left testicular shear wave elastic modulus cut-off was calculated as 5.235, 5.130, 4.640 and 5.310 Kpa using ROC curve according to the abnormalities of total sperm count, sperm concentration, sperm viability and testosterone. When the left testicular shear wave elastic modulus was higher than these values, the corresponding parameter was more likely to be abnormal. Testicular shear wave elastic modulus has predictive values in testicular functions for varicocele patients.

Association between the metabolic score for insulin resistance and prostate cancer: a cross-sectional study in Xinjiang.

Background: Insulin resistance is associated with the development and progression of various cancers. However, the epidemiological evidence for the association between insulin resistance and prostate cancer is still limited. Objectives: To investigate the associations between insulin resistance and prostate cancer prevalence. Methods: A total of 451 patients who were pathologically diagnosed with prostate cancer in the First Affiliated Hospital of Xinjiang Medical University were selected as the case population; 1,863 participants who conducted physical examinations during the same period were selected as the control population. The metabolic score for insulin resistance (METS-IR) was calculated as a substitute indicator for evaluating insulin resistance. The Chi-square test and Mann-Whitney U test were performed to compare the basic information of the case population and control population. Univariate and multivariate logistic regression analyses to define factors that may influence prostate cancer prevalence. The generalized additive model (GAM) was applied to fit the relationship between METS-IR and prostate cancer. Interaction tests based on generalized additive model (GAM) and contour plots were also carried out to analyze the interaction effect of each factor with METS-IR on prostate cancer. Results: METS-IR as both a continuous and categorical variable suggested that METS-IR was negatively associated with prostate cancer prevalence. Smoothed curves fitted by generalized additive model (GAM) displayed a nonlinear correlation between METS-IR and prostate cancer prevalence (P < 0.001), and presented that METS-IR was negatively associated with the odds ratio (OR) of prostate cancer. The interaction based on the generalized additive model (GAM) revealed that METS-IR interacted with low-density lipoprotein cholesterol (LDL-c) to influence the prostate cancer prevalence (P = 0.004). Contour plots showed that the highest prevalence probability of prostate cancer was achieved when METS-IR was minimal and low-density lipoprotein cholesterol (LDL-c) or total cholesterol (TC) was maximal. Conclusions: METS-IR is nonlinearly and negatively associated with the prevalence of prostate cancer. The interaction between METS-IR and low-density lipoprotein cholesterol (LDL-c) has an impact on the prevalence of prostate cancer. The study suggests that the causal relationship between insulin resistance and prostate cancer still needs more research to confirm.

Association between metabolic obesity phenotypes and the risk of developing prostate cancer: a propensity score matching study based on Xinjiang.

Background: Obesity-induced metabolic dysfunction increases the risk of developing tumors, however, the relationship between metabolic obesity phenotypes and prostate cancer (PCa) remains unclear. Methods: The term metabolic obesity phenotypes was introduced based on metabolic status and BMI categories. Participants were categorized into four groups: metabolically healthy nonobesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy nonobesity (MUNO), and metabolically unhealthy obesity (MUO). Propensity score matching was conducted based on age, ethnicity, marriage, etc. Univariate and multivariate conditional logistic regression analyses were used to assess the relationship between metabolic obesity phenotypes, metabolic risk factors, and PCa. Sensitivity analysis was performed to verify the robustness of the results. Results: After propensity score matching among 564 PCa patients and 1418 healthy individuals, 209 were selected for each of the case and control groups. There were no statistically significant differences in the basic characteristics between the two groups. Univariate and multivariate conditional logistic regression suggested that the risk of developing PCa in both MHO and MUO individuals was higher than in MHNO individuals. Specifically, the risk of developing PCa in MHO individuals was 2.166 times higher than in MHNO individuals (OR=2.166, 95%CI: 1.133-4.139), and the risk in MUO individuals was is 2.398 times higher than in MHNO individuals(OR=2.398, 95%CI:1.271-4.523). Individuals with hyperglycemia and elevated triglycerides also had a higher risk of developing PCa (hyperglycemia:OR=1.488, 95%CI: 1.001-2.210; elevated triglycerides: OR=2.292, 95%CI: 1.419-3.702). Those with more than or equal to three metabolic risk factors had an increased risk of PCa (OR=1.990, 95%CI: 1.166-3.396). Sensitivity analysis indicated an increased risk of PCa in MUO individuals compared to MHNO individuals. Conclusion: In this retrospective study, individuals with MHO and MUO had a higher risk of developing PCa.

Self-strangulation induced penile partial amputation: A case report.

BACKGROUND: Traumatic amputation of the penis is a rare surgical emergency, usually caused by self-mutilation, accidents, circumcision, assault and animal attacks. This study aimed to summarize our treatment experience involving penile reconstruction in a rare case of a self-strangulation induced chronical penile partial amputation. CASE SUMMARY: A 22-year-old man presented with self-strangulation induced chronical penile partial amputation for 3 mo where the penile proximal part was 1 cm far from the pubis. Reconstruction methods included end-to-end anastomosis of the urethral mucosa, proximal anastomosis of the corpus cavernosum and tunica albuginea of the penis, anastomosis of the deep dorsal vein, dorsal artery, and superficial dorsal vein. Patient urinated smoothly after the catheter was removed on day 21. 3 mo after the surgery, the patient's penile preliminary cosmetic appearance was satisfactory, with occasional morning erections. Distal penile sensation was preserved, yet erection hardness of the distal penis was not satisfactory. CONCLUSION: Complete preoperative assessment and prompt surgical intervention decreases loss of residual penile functions.