Non-obstructive azoospermia is a common condition associated with significant health risks, including increased mortality, cancer, and chronic diseases such as metabolic and cardiovascular disorders. This review aims to highlight the potential health challenges faced by men with this condition compared to fertile counterparts. Through a comprehensive bibliographic search on PubMed, using the following algorithm: ("infertility, male" [MeSH Terms] OR "azoospermia" [MeSH Terms]) AND ("mortality" [MeSH Terms] OR "neoplasms" [MeSH Terms] OR "chronic disease" [MeSH Terms] OR "diabetes mellitus" [MeSH Terms] OR "heart diseases" [MeSH Terms]), we analyzed existing literature to explore the associations between infertility, specifically azoospermia, and adverse health outcomes. Findings indicate that infertile men are at a higher risk of death, various cancers (particularly testicular cancer), metabolic syndrome, diabetes, hypogonadism, and cardiovascular disease. Although research specifically addressing azoospermia is limited, available studies support the notion that men with this condition may experience heightened health vulnerabilities. Given these risks, it is imperative for healthcare professionals, especially urologists, to conduct thorough health assessments for men diagnosed with azoospermia. Informing patients of these potential health issues and integrating comprehensive evaluations into their care can facilitate early detection and intervention for life-threatening conditions. Ultimately, men with azoospermia should receive ongoing monitoring to address their specific health concerns, thus improving their long-term health outcomes.
Humans ; Male ; Azoospermia/epidemiology* ; Cardiovascular Diseases/etiology* ; Metabolic Syndrome/epidemiology* ; Infertility, Male/complications* ; Testicular Neoplasms/epidemiology* ; Hypogonadism/epidemiology* ; Diabetes Mellitus/epidemiology* ; Risk Factors ; Neoplasms/epidemiology*

BACKGROUND: Lung cancer is one of the malignant cancers with the highest incidence rate, and it is important to identify the factors contributing to lung cancer carcinogenesis for prevention. Lifestyle and genetic factors play important roles in cancer development, however the impact of dietary factors, such as soy product intake, on lung cancer risk remains inadequately understood. This study aims to explore the associations between soy product intake, genetic risk, and lung cancer incidence, and validate the consistent effects of soy product intake in European populations, thereby providing new insights for lung cancer prevention. METHODS: Utilizing the Shanghai Suburban Adult Cohort and Biobank (SSACB) (n=66,311), Cox proportional hazards model was adopted to assess the association between soy product intake and lung cancer incidents, followed by subgroup analyses stratified by gender, smoking status, and pathological types of lung cancer. The UK Biobank (UKB) was used for validation of the effect of soy product intake on lung cancer. To investigate the association between genetic factors and lung cancer, in addition to previously reported loci, we incorporated newly identified loci from two independent studies in Southeast China: a nested case-control population from the SSACB cohort (433 cases/650 controls) and a case-control study from the Shanghai Cancer Center-Taizhou cohort (1359 cases/1359 controls). Meta-analysis and Linkage disequilibrium clumping (LD clumping) of the association results identified 23 loci for polygenic risk score (PRS) construction. Subsequently, conditional Logistic regression model was used to assess the association between genetic risk and lung cancer. RESULTS: In SSACB cohort, after adjusting for age, gender, smoking, chronic bronchitis, body mass index (BMI), vegetable intake and red meat intake, sufficient soy product intake was significantly associated with a reduced risk of lung cancer [hazard ratio (HR)=0.60, 95%CI: 0.47-0.77, Padj=6.69E-05], an effect that was consistent in males and females, smokers and non-smokers. In UKB, although the association did not reach statistical significance, a protective trend against lung cancer was also observed (HR=0.76, 95%CI: 0.55-1.06, Padj=0.10). In the nested case-control population within SSACB, a PRS score generated in the Chinese population was significantly correlated with lung cancer risk. After adjustment of age, gender, smoking, chronic bronchitis, and soy product intake, the high-PRS group had a 1.88 times higher risk of lung cancer compared to the low-PRS group (Padj=1.84E-03). CONCLUSIONS The prospective cohort study found that adequate intake of soy products was significantly associated with a reduced risk of lung cancer, while a high PRS is a risk factor for lung cancer development. Integrating soy product intake and PRS into traditional epidemiological risk factor prediction will guide personalized lung cancer prevention and high-risk population stratification.
Humans ; Lung Neoplasms/etiology* ; Male ; Female ; China/epidemiology* ; Middle Aged ; Adult ; Aged ; Prospective Studies ; Biological Specimen Banks ; Risk Factors ; Case-Control Studies ; Cohort Studies

BACKGROUND: To date, results on relationship between CYP3A4 gene polymorphism were limited and inconclusive, and no study focused on the influence of CYP3A4 gene-obesity interaction on breast cancer risk, especially in Chinese women. The purpose of this study was to evaluate the impact of four single nucleotide polymorphisms (SNPs) of CYP3A4 gene, the SNP-SNP and gene-environment interactions on the susceptibility to breast cancer in Chinese women. METHODS: Logistic regression was used to explore the relationship between four SNPs of CYP3A4 gene and the risk of breast cancer. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best SNP-SNP and gene-abdominal obesity interaction combinations among four SNPs and abdominal obesity. Haplotype examination among 4 SNPs was conducted using the SHEsis web-based platform. RESULTS: Logistic regression analysis showed that carriers of rs2242480- T allele have significantly higher breast cancer risk, than those with rs2242480- CC genotype, adjusted OR (95%CI) was 1.68 (1.23-2.16) and 2.03 (1.53-2.58) for participants with CT genotype and TT genotype under additive model. We did not find any notable interactions between the four SNPs within the CYP3A4 gene. GMDR model found a significant association in a two-locus model involving rs2242480 and obesity, with a p-value of 0.018. Stratified analysis found that breast cancer risk was the highest in obese participants with rs2242480- CT or TT genotype, compared to those non-obese participants with rs2242480- CC genotype, OR (95%CI) was 3.02 (1.83-4.25). We found that all haplotype combinations were not correlated with breast cancer risk. CONCLUSIONS We found that the T allele of rs2242480 within the CYP3A4 gene and interaction between rs2242480 and obesity were associated with an increased risk of breast cancer. However, the results of this study were only applicable to the Han ethnic group and cannot be generalized to other ethnic groups in China, and more SNPs of CYP3A4 gene should been enrolled in the analysis in the future, to verify the results obtained in this study.
Adult ; Aged ; Female ; Humans ; Middle Aged ; Breast Neoplasms/etiology* ; China/epidemiology* ; Cytochrome P-450 CYP3A/metabolism* ; Gene-Environment Interaction ; Genetic Predisposition to Disease ; Haplotypes ; Obesity/epidemiology* ; Polymorphism, Single Nucleotide ; Risk Factors ; East Asian People

OBJECTIVES: To investigate the incidence of ipsilateral upper urinary tract stones after partial nephrectomy and its risk factors. METHODS: We retrospectively analyzed baseline patient characteristics (age, gender, and body mass index), smoking, alcohol consumption, comorbidities (hypertension, diabetes, hypertriglyceridemia, hyperuricemia, and cardiovascular diseases), preoperative tumor conditions (tumor diameter, multiple foci, location, hemorrhage, necrosis, cystic changes, and endophytic growth), preoperative glomerular filtration rate and intraoperative factors (renal collecting system damage, ischemia time, operation time, surgical approach, and estimated intraoperative blood loss) to identify the risk factors for ipsilateral upper urinary tract stones following partial nephrectomy in our center. RESULTS: The overall incidence of upper urinary tract stones following partial nephrectomy was 7.80% (112/1435). The incidence of ipsilateral upper urinary tract stones was significantly higher than those of contralateral stones (4.95% vs 1.46%, P<0.001) and bilateral stones (4.95% vs 1.39%, P<0.001). Intraoperative damage to the renal collecting system was identified as a significant risk factor for ipsilateral upper urinary tract stones (OR=4.550, 95% CI: 2.237-9.252, P<0.001). Diabetes was a probable risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy (OR=2.419, 95% CI: 0.973-6.012, P=0.057). CONCLUSIONS The incidence of ipsilateral upper urinary tract stones after partial nephrectomy is higher than that of contralateral and bilateral stones. Intraoperative renal collecting system damage is a risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy.
Humans ; Nephrectomy/methods* ; Retrospective Studies ; Risk Factors ; Male ; Female ; Case-Control Studies ; Middle Aged ; Aged ; Kidney Neoplasms/surgery* ; Adult ; Intraoperative Complications ; Kidney Tubules, Collecting/injuries* ; Propensity Score ; Incidence ; Kidney Calculi/etiology* ; Urinary Calculi/epidemiology*

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

OBJECTIVE: We aimed to analyze the current indoor radon level and estimate the population risk of radon-induced lung cancer in urban areas of China. METHODS: Using the passive monitoring method, a new survey on indoor radon concentrations was conducted in 2,875 dwellings across 31 provincial capital cities in Chinese mainland from 2018 to 2023. The attributable risk of lung cancer induced by indoor radon exposure was estimated based on the risk assessment model. RESULTS: The arithmetic mean (AM) and geometric mean (GM) of indoor radon concentrations were 65 Bq/m³ and 55 Bq/m³, respectively, with 13.6% of measured dwellings exceeding 100 Bq/m³ and 0.6% exceeding 300 Bq/m³. The estimated number of lung cancer deaths induced by indoor radon exposure was 150,795, accounting for 20.30% (95% CI: 20.21%-20.49%) of the lung cancer death toll. CONCLUSION This study provided the most recent data on national indoor radon levels in urban areas and the attributable risk of lung cancer. These results served as an important foundation for further research on the disease burden of indoor radon exposure and radon mitigation efforts.
Radon/analysis* ; China/epidemiology* ; Air Pollution, Indoor/analysis* ; Lung Neoplasms/etiology* ; Humans ; Cities/epidemiology* ; Air Pollutants, Radioactive/adverse effects* ; Neoplasms, Radiation-Induced/etiology* ; Risk Assessment ; Radiation Monitoring

Objective To reveal the spatial distribution patterns of key pollutants in the Huaihe River Basin and quantify the risks and burdens of non-gastrointestinal cancers by the grade of pollution,providing targets and data support for enhanced management of water pollution in the Huaihe River Basin. Methods Surface water quality data of the Huaihe River Basin were obtained from the National Surface Water Environmental Quality Monitoring Network(2021).Incidence data of seven cancers were extracted from the 2019 Annual Report of the China Cancer Registry.Random forest and SHapley Additive exPlanations were employed to select key pollutants,and pollution was graded based on the spatial analysis of the Huaihe River Basin.The cancer risks and population attributable fractions were calculated under pollution grades. Results Five key pollutants linked to cancers were identified,including total nitrogen,total phosphorus,chemical oxygen demand,biochemical oxygen demand after 5 days,and arsenic.Pollution was graded into three levels regarding the combined effects of pollutants.Compared with the low pollution areas,high pollution areas showed increased risks of lung cancer(RR=1.26,95%CI:1.06-1.50),breast cancer(female)(RR=1.46,95%CI:1.21-1.77),pancreatic cancer(RR=1.46,95%CI:1.06-2.01),brain cancer(RR=1.44,95%CI:1.05-1.98),and gallbladder cancer(RR=1.60,95%CI:1.03-2.50).The grade of pollution contributed to more than 5% of cases for most cancers above. Conclusions The potential cancer risks and burdens attributed to surface water pollution cannot be overlooked.Addressing this challenge necessitates close collaboration of various stakeholders to strengthen policy development,enhance environmental governance,and implement public health interventions.
Humans ; China/epidemiology* ; Rivers/chemistry* ; Neoplasms/etiology* ; Water Quality ; Environmental Monitoring ; Water Pollutants, Chemical/analysis* ; Phosphorus/analysis* ; Spatial Analysis ; Nitrogen/analysis* ; Arsenic/analysis* ; Water Pollution/adverse effects* ; Female

INTRODUCTION: Post-anaesthesia care unit (PACU) delirium affects 5%-45% of patients after surgery and is associated with postoperative delirium and increased mortality. Up to 40% of PACU delirium is preventable, but it remains under-recognised due to a lack of awareness of its diagnosis. The nursing delirium screening scale (Nu-DESC) has been validated for diagnosing PACU delirium, but is not routinely used locally. This study aimed to use Nu-DESC to establish the incidence and risk factors of PACU delirium in patients undergoing non-cardiac surgery in the surgical population. METHODS: We conducted an audit of eligible patients undergoing major surgery in three public hospitals in Singapore over 1 week. Patients were assessed for delirium 30-60 min following their arrival in PACU using Nu-DESC, with a total score of ≥2 indicative of delirium. RESULTS: A total of 478 patients were assessed. The overall incidence rate of PACU delirium was 18/478 (3.8%), and the incidence was 9/146 (6.2%) in patients aged > 65 years. Post-anaesthesia care unit delirium was more common in females, patients with malignancy and those who underwent longer operations. Logistic regression analysis showed that the use of bispectral index (P < 0.001) and the presence of malignancy (P < 0.001) were significantly associated with a higher incidence of PACU delirium. CONCLUSION In this first local study, the incidence of PACU delirium was 3.8%, increasing to 6.2% in those aged > 65 years. Understanding these risk factors will form the basis for which protocols can be established to optimise resource management and prevent long-term morbidities and mortality in PACU delirium.
Female ; Humans ; Delirium/epidemiology* ; Postoperative Complications/etiology* ; Singapore/epidemiology* ; Prospective Studies ; Anesthesia/adverse effects* ; Risk Factors ; Neoplasms

OBJECTIVE: To develop and validate a three-year risk prediction model for new-onset cardiovascular diseases (CVD) among female patients with breast cancer. METHODS: Based on the data from Inner Mongolia Regional Healthcare Information Platform, female breast cancer patients over 18 years old who had received anti-tumor treatments were included. The candidate predictors were selected by Lasso regression after being included according to the results of the multivariate Fine & Gray model. Cox proportional hazard model, Logistic regression model, Fine & Gray model, random forest model, and XGBoost model were trained on the training set, and the model performance was evaluated on the testing set. The discrimination was evaluated by the area under the curve (AUC) of the receiver operator characteristic curve (ROC), and the calibration was evaluated by the calibration curve. RESULTS: A total of 19 325 breast cancer patients were identified, with an average age of (52.76±10.44) years. The median follow-up was 1.18 [interquartile range (IQR): 2.71] years. In the study, 7 856 patients (40.65%) developed CVD within 3 years after the diagnosis of breast cancer. The final selected variables included age at diagnosis of breast cancer, gross domestic product (GDP) of residence, tumor stage, history of hypertension, ischemic heart disease, and cerebrovascular disease, type of surgery, type of chemotherapy and radiotherapy. In terms of model discrimination, when not considering survival time, the AUC of the XGBoost model was significantly higher than that of the random forest model [0.660 (95%CI: 0.644-0.675) vs. 0.608 (95%CI: 0.591-0.624), P < 0.001] and Logistic regression model [0.609 (95%CI: 0.593-0.625), P < 0.001]. The Logistic regression model and the XGBoost model showed better calibration. When considering survival time, Cox proportional hazard model and Fine & Gray model showed no significant difference for AUC [0.600 (95%CI: 0.584-0.616) vs. 0.615 (95%CI: 0.599-0.631), P=0.188], but Fine & Gray model showed better calibration. CONCLUSION It is feasible to develop a risk prediction model for new-onset CVD of breast cancer based on regional medical data in China. When not considering survival time, the XGBoost model and the Logistic regression model both showed better performance; Fine & Gray model showed better performance in consideration of survival time.
Humans ; Female ; Adult ; Middle Aged ; Adolescent ; Breast Neoplasms/epidemiology* ; Cardiovascular Diseases/etiology* ; Proportional Hazards Models ; Logistic Models ; China/epidemiology*

OBJECTIVE: No consensus exists on the relative risk ( RR) of lung cancer (LC) attributable to active smoking in China. This study aimed to evaluate the unified RR of LC attributable to active smoking among the Chinese population. METHODS: A systematic literature search of seven databases was conducted to identify studies reporting active smoking among smokers versus nonsmokers in China. Primary articles on LC providing risk estimates with their 95% confidence intervals ( CIs) for "ever" "former" or "current" smokers from China were selected. Meta-analysis was used to estimate the pooled RR of active smoking. RESULTS: Forty-four unique studies were included. Compared with that of nonsmokers, the pooled RR (95% CI) for "ever" "former" and "current" smokers were 3.26 (2.79-3.82), 2.95 (1.71-5.08), and 5.16 (2.58-10.34) among men, 3.18 (2.78-3.63), 2.70 (2.08-3.51), and 4.27 (3.61-5.06) among women, and 2.71 (2.12-3.46), 2.66 (2.45-2.88), and 4.21 (3.25-5.45) in both sexes combined, respectively. CONCLUSION The RR of LC has remained relatively stable (range, 2-6) over the past four decades in China. Early quitting of smoking could reduce the RR to some extent; however, completely refraining from smoking is the best way to avoid its adverse effects.
Male ; Humans ; Female ; Smoking/epidemiology* ; Smoking Cessation ; Smokers ; Risk ; Lung Neoplasms/etiology* ; Risk Factors