OBJECTIVE: The relationship between benign prostatic hyperplasia (BPH) and the oxidative balance score (OBS) will be discussed in this study. METHODS: The clinical data on 16 dimensions of diet and 4 dimensions of lifestyle from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2008 were used to calculate OBS. We considered BPH as the outcome and investigated the linear and nonlinear relationships between the two. Additionally, subgroup analyses and interaction tests were conducted as well. Furthermore, the methods of machine learning including XGBoost, support vector machine (SVM) and naive Bayes (NB) were used to establish a predictive model for BPH. RESULTS: Higher OBS was consistently associated with an increased prevalence of BPH, with Restricted Cubic Splines highlighting a significant positive nonlinear association (P=0.015). Subgroup analyses revealed differences and interactive relationships based on alcohol consumption. Among the seven machine learning models that we included the OBS score in, the XGBoost model emerged as the best, with an AUC value of 0.769. CONCLUSION There is a significant association between OBS and the prevalence of BPH in the American population, which provides a valuable insight for further diagnosis and research of the disease.
Humans ; Male ; Prostatic Hyperplasia/epidemiology* ; Machine Learning ; Bayes Theorem ; Nutrition Surveys ; Support Vector Machine ; Life Style ; Oxidative Stress ; Aged ; Diet ; Prevalence

OBJECTIVE: To investigate the risk factors for depression in middle-aged and elderly Chinese male patients with benign prostatic hyperplasia/lower urinary tract symptoms (BPH/LUTS). METHODS: Based on the data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), we included 8 426 male participants aged ≥ 45 years in this study, and explored the risk factors for depression in patients with BPH/LUTS by logistic regression analysis. RESULTS: Among the total number of participants, there were 1 447 cases of BPH/LUTS, with a prevalence rate of 17.2%, and 36.5% of the patients (529/1 447) were complicated by depression. Logistic regression analysis showed that underlying diseases were the risk factors for depression in patients with BPH/LUTS (OR = 1.29, 95% CI: 1.03－1.62), while the protective factors against the condition included high school education or above (OR = 0.52, 95% CI: 0.36－0.75), urban residence (OR = 0.75, 95% CI: 0.60－0.95), eastern region (OR = 0.61, 95% CI: 0.38－0.97), and 6－9 h/d sleep (OR = 0.52, 95% CI: 0.41－0.66). CONCLUSION Underlying diseases, education level, residential area, geographical region, and sleep duration are influencing factors for depression in middle-aged and elderly male patients with BPH/LUTS in China and deserve the attention of clinicians.
Humans ; Male ; Prostatic Hyperplasia/psychology* ; Risk Factors ; Depression/etiology* ; Aged ; Middle Aged ; Lower Urinary Tract Symptoms/psychology* ; China/epidemiology* ; Logistic Models ; Prevalence ; Longitudinal Studies

OBJECTIVES: Postoperative hypothermia is a common clinical complication with a high incidence rate, potentially adversely affecting postoperative recovery. Transurethral holmium laser enucleation of the prostate (HoLEP) is a minimally invasive procedure for benign prostatic hyperplasia (BPH). Offering advantages such as minimal bleeding, broad indications, and rapid postoperative recovery. However, research on risk factors for postoperative hypothermia following HoLEP remains limited, and predictive models for guiding clinical practice are lacking. This study aims to develop a predictive model for assessing the risk of postoperative hypothermia in HoLEP patients and to identify relevant risk factors. METHODS: Clinical data from patients who underwent HoLEP at affiliated Hospital of Shandong Second Medical University were retrospectively collected. Patients were categorized into a hypothermia group and a non-hypothermia group based on whether postoperative hypothermia occurred. Preoperative, intraoperative, and postoperative indicators were compared between the 2 groups. Least absolute shrinkage and selection operator (LASSO) regression combined with logistic regression analysis was used to analyze clinical data. A predictive model for assessing the risk of postoperative hypothermia after HoLEP was constructed and internally validated using bootstrap resampling. RESULTS: A total of 403 patients were included in the analysis, among whom 85 patients developed postoperative hypothermia, with an incidence rate of 21.1%. Logistic regression analysis identified operative duration (OR=1.009, 95% CI 1.003 to 1.015), underweight status (OR=9.881, 95% CI 4.038 to 24.910), and prostate weight (OR=1.021, 95% CI 1.012 to 1.030) as independent risk factors for postoperative hypothermia, and these variables were incorporated into the nomogram model. Internal validation showed strong discriminative ability of the nomogram, with an area under the receiver operating characteristic curve (AUC) of 0.755 (95% CI 0.686 to 0.820) and a C-index of 0.832 (95% CI 0.787 to 0.865). The calibration curve demonstrated good consistency between predicted and observed outcomes. Decision curve analysis showed that the nomogram provided greater clinical utility when the risk threshold for postoperative hypothermia was between 8% and 97%. CONCLUSIONS This study developed a nomogram model for predicting the risk of postoperative hypothermia in HoLEP patients, providing clinicians with a simple and effective predictive tool for individualized risk assessment and preoperative decision-making.
Humans ; Male ; Nomograms ; Prostatic Hyperplasia/surgery* ; Lasers, Solid-State/adverse effects* ; Risk Factors ; Retrospective Studies ; Transurethral Resection of Prostate/methods* ; Postoperative Complications/epidemiology* ; Hypothermia/epidemiology* ; Middle Aged ; Aged

This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia (BPH). Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital, Central South University (Changsha, China) from June to December 2020 were enrolled in this study. The characteristic data were collected, including basic anthropometric indices, lipid parameters, six anthropometric indicators, prostate-specific antigen, and total prostate volume. The odds ratios (ORs) with 95% confidence intervals (95% CIs) for all anthropometric parameters and BPH were calculated using binary logistic regression. To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values, receiver operating characteristic (ROC) curves and the related areas under the curves (AUCs) were utilized. All six indicators had diagnostic value for BPH (all P ≤ 0.001). The visceral adiposity index (VAI; AUC: 0.797, 95% CI: 0.759-0.834) had the highest AUC and therefore the highest diagnostic value. This was followed by the cardiometabolic index (CMI; AUC: 0.792, 95% CI: 0.753-0.831), lipid accumulation product (LAP; AUC: 0.766, 95% CI: 0.723-0.809), waist-to-hip ratio (WHR; AUC: 0.660, 95% CI: 0.609-0.712), waist-to-height ratio (WHtR; AUC: 0.639, 95% CI: 0.587-0.691), and body mass index (BMI; AUC: 0.592, 95% CI: 0.540-0.643). The sensitivity of CMI was the highest (92.1%), and WHtR had the highest specificity of 94.1%. CMI consistently showed the highest OR in the binary logistic regression analysis. BMI, WHtR, WHR, VAI, CMI, and LAP all influence the occurrence of BPH in middle-aged and older men (all P ≤ 0.001), and CMI is the best predictor of BPH.
Middle Aged ; Male ; Humans ; Aged ; Prostatic Hyperplasia ; Obesity/epidemiology* ; Body Mass Index ; China/epidemiology* ; Waist-Height Ratio ; ROC Curve ; Waist Circumference ; Risk Factors

Lower urinary tract symptoms suggestive of benign prostate hyperplasia (LUTS/BPH) and depression are both increasing in Chinese aging males. However, the relationship still remains unknown. To explore their relationship, a retrospective cohort study based on propensity score matching (PSM) was conducted by analyzing the China Health and Retirement Longitudinal Study dataset. After data cleaning, a total of 5125 participants were enrolled and subjected to PSM; 1351 pairs were matched and followed for 2 years. Further logistic regression and restricted cubic spline (RCS) were performed to evaluate, model and visualize the relationship between depression and LUTS/BPH. Moreover, subgroup analyses and sensitivity analyses were adopted to verify the robustness of the conclusions. Before PSM, depressive patients showed higher odds of LUTS/BPH in all three models adjusting for different covariates (P < 0.001). After PSM, univariate logistic regression revealed that depressive patients had higher risks for LUTS/BPH than participants in the control group (odds ratio [OR] = 2.10, P < 0.001). The RCS results indicated a nonlinear (P < 0.05) and inverted U-shaped relationship between depression and LUTS/BPH. In the subgroup analyses, no increased risks were found among participants who were not married or cohabitating, received an education, had an abnormal body mass index (<18.5 kg m
Aged ; China/epidemiology* ; Cohort Studies ; Depression/epidemiology* ; Humans ; Logistic Models ; Longitudinal Studies ; Lower Urinary Tract Symptoms/etiology* ; Male ; Middle Aged ; Propensity Score ; Prostatic Hyperplasia/epidemiology* ; Retrospective Studies

ObjectiveTo study the correlation of high-risk human papillomavirus 16 and 18 (HPV16/18) infections with the risk of prostate cancer (PCa) and their association with the clinicopathologic indexes of PCa.

METHODSWe collected tissue samples from 75 cases of PCa and 73 cases of benign prostatic hyperplasia (BPH). We detected HPV16/18 infections in the samples by immunohistochemistry and PCR combined with reverse dot blot (RDB) assay.

RESULTSImmunohistochemistry revealed 16 cases of HPV16/18 positive in the PCa (21.3%) and 7 cases in the BPH samples (9.5%), with statistically significant difference between the two groups (P=0.049). PCR combined with RDB assay showed 17 cases of HPV16 infection (22.6%) and 13 cases of HPV18 infection (17.8%), including 4 cases of HPV16/18 positive, in the PCa group, remarkably higher than 6 cases of HPV16 infection (8.2%), 3 cases of HPV18 infection (4.1%) and no HPV16/18 positive in the BPH controls (P=0.001). No significant differences were observed between the result of immunohistochemistry and that of PCR combined with RDB assay (P=0.069). The risk of HPV16/18 infections was found to be correlated with the clinical T-stage and Gleason score of PCa (P<0.05 ) but not with the patient's age, PSA level or lymph node metastasis (P>0.05 ).

CONCLUSIONSHigh-risk HPV16/18 infections are correlated with the risk of prostate cancer.

Human papillomavirus 16 ; Human papillomavirus 18 ; Humans ; Immunohistochemistry ; Lymphatic Metastasis ; Male ; Neoplasm Grading ; Papillomavirus Infections ; epidemiology ; Polymerase Chain Reaction ; Prostatic Hyperplasia ; epidemiology ; virology ; Prostatic Neoplasms ; epidemiology ; virology

PURPOSE: The purpose of this study was to determine the prevalence of urinary incontinence (UI) and analyze its association with instrumental activities of daily living (IADL) and benign prostatic hyperplasia (BPH) in community-dwelling older men in Korea. METHODS: This study was a secondary analysis of data from the Actual Living Condition of the Elderly and Welfare Need Survey conducted in the year 2008. Data was subjected to hierarchical logistic regression analysis to examine the association of IADL and BPH with UI in older men, entering IADL and BPH in model 1, and age, body mass index (BMI) and education in model 2, and then comorbidities and walking speed in model 3. RESULTS: Of 6,185 men, 243 (3.9%) had self-reported UI. The prevalence of UI was 1.8% in men aged 60-64 years and 11.7% in those aged 85 years and above, indicating an increase in the prevalence of UI with their age. IADL and BPH remained the only significant factors associated with UI in model 1 (odds ratio [OR], 1.54; 95% confidence interval [CI], 1.44-1.64 and OR, 2.73; 95% CI, 1.47-5.10, respectively), model 2 (OR, 1.50; 95% CI, 1.40-1.61 and OR, 2.68; 95% CI, 1.42-5.07), and model 3 (OR, 1.43; 95% CI, 1.32-1.54 and OR, 2.58; 95% CI, 1.36-4.90). CONCLUSIONS: IADL limitations and presence of BPH were associated with UI in older men after controlling for BMI, education, comorbidities, and walking speed. Thus, UI should be assessed in older Korean men with IADL decline and BPH. Gender-sensitive interventions to attenuate IADL limitations and manage BPH should be developed and applied to improve UI in older men.
Activities of Daily Living ; Aged ; Body Mass Index ; Comorbidity ; Education ; Epidemiology ; Humans ; Korea ; Logistic Models ; Male ; Prevalence ; Prostatic Hyperplasia* ; Social Conditions ; Urinary Incontinence* ; Walking

This review assessed the epidemiology of voiding dysfunctions in South Korea. Comprehensive understanding of this epidemiology is crucial because the senior population and the social burden are increasing because of voiding dysfunctions is growing. We searched the medical records using several terms related to voiding dysfunction: benign prostatic hyperplasia, urinary incontinence, lower urinary tract symptoms, overactive bladder, and nocturia. We then estimated the prevalence of voiding dysfunctions in South Korea; our data were comparable with those from other countries, with slight differences. The ranges of incidences varied widely between studies, mostly because investigators defined disorders differently. Voiding dysfunction greatly affects healthcare costs and individual quality of life; therefore, more proper and valuable epidemiologic data are needed. In addition, efforts to unify the definitions of various voiding dysfunctions and progress in investigational methodologies using multimedia are warranted.
Epidemiology* ; Health Care Costs ; Humans ; Incidence ; Korea* ; Lower Urinary Tract Symptoms ; Medical Records ; Multimedia ; Nocturia ; Prevalence ; Prostatic Hyperplasia ; Quality of Life ; Research Personnel ; Urinary Bladder ; Urinary Bladder, Overactive ; Urinary Incontinence ; Urinary Tract*

PURPOSE: We aimed to evaluate obesity, a risk factor of metabolic syndrome, and its association with prostatic enlargement in a retrospective cohort in Korea. METHODS: Baseline data were obtained from the Korean Genome and Epidemiology Study on Atherosclerosis Risk of Rural Areas in the Korean General Population (KoGES-ARIRANG). Between March 2015 and November 2015, 2,127 male participants of KoGES-ARIRANG were invited to the Korean Prostate Health Council Screening Program, and 602 participants underwent urological examination, including serum prostate specific antigen measurement and transrectal ultrasonography, and completed the International Prostate Symptom Score questionnaire. The data for 571 participants were analyzed, after excluding 31 men who had a history of prostatic disease or testosterone replacement, or had undergone a prior prostatic surgery or procedure. RESULTS: Among components of metabolic syndrome, waist circumference had a statistically significant linear correlation with incremental increases in prostate volume (B=0.181, P=0.004). Abdominal obesity as determined by anthropometric measures including body mass index (odds ratio [OR], 1.205; 95% confidence interval [CI], 1.088–1.336), waist circumference (OR, 1.073; 95% CI, 1.032–1.115), body fat (OR, 1.126; 95% CI, 1.056–1.202), and visceral fat composition (OR, 1.667; 95% CI, 1.246–2.232) was significantly associated with the presence of high-volume benign prostatic hyperplasia (BPH) (prostate volume≥ 40 mL). Furthermore, the highest quartile of serum leptin (OR, 3.541; 95% CI, 1.103–11.365) and adiponectin levels (OR, 0.315; 95% CI, 0.102–0.971) were significantly correlated with high-volume BPH compared to the lowest quartile of levels. CONCLUSIONS: Abdominal obesity and serum leptin level are positively associated with prostate growth, whereas serum adiponectin level is inversely associated with the presence of prostatic enlargement.
Adiponectin ; Adipose Tissue ; Atherosclerosis ; Body Mass Index ; Cohort Studies* ; Epidemiology ; Genome ; Humans ; Intra-Abdominal Fat ; Korea* ; Leptin ; Male ; Mass Screening ; Obesity* ; Obesity, Abdominal ; Prostate ; Prostate-Specific Antigen ; Prostatic Diseases ; Prostatic Hyperplasia ; Retrospective Studies* ; Risk Factors* ; Testosterone ; Ultrasonography ; Waist Circumference

Previous investigations have shown that changes in total prostate volume (TPV) are highly variable among aging men, and a considerable proportion of aging men have a stable or decreasing prostate size. Although there is an abundance of literature describing prostatic enlargement in association with benign prostatic hyperplasia, less is known about the appropriate age cut-off points for TPV growth rate. In this community-based cohort study, TPV was examined once a year in men who had consecutive health checkup, during a follow-up of 4 years. A total of 5058 men (age 18-92 years old) were included. We applied multiple regression analyses to estimate the correlation between TPV growth rate and age. Overall, 3232 (63.9%) men had prostate growth, and 1826 (36.1%) had a stable or decreased TPV during the study period. The TPV growth rate was correlated negatively with baseline TPV (r=-0.32, P<0.001). Among 2620 men with baseline TPV <15 cm, the TPV growth rate increased with age (β=0.98, 95% CI: 0.77%-1.18%) only up to 53 years old. Among 2188 men with baseline TPV of 15-33.6 cm, the TPV growth rate increased with age (β=0.84, 95% CI, 0.66%-1.01%) only up to 61 years old after adjusting for factors of hypertension, obesity, baseline TPV, diabetes mellitus and dyslipidemia. In this longitudinal study, the TPV growth rate increased negatively with baseline TPV, only extending to a certain age and not beyond. Further research is needed to identify the mechanism underlying such differences in prostate growth.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; China ; Humans ; Hypertension ; epidemiology ; Male ; Middle Aged ; Obesity ; epidemiology ; Organ Size ; Prostate ; growth & development ; pathology ; Prostatic Hyperplasia ; epidemiology ; Residence Characteristics ; statistics & numerical data