1.Cardiovascular risk in medical students: Is living alone a factor?
Cyrille Jane O. Barrion ; Christine Gabrielle R. Bien ; Arian Jaya B. Caballero ; Julian John L. Cai ; Jovinian Aji D. De la cruz ; Jerahmeel Matthew G. De leon ; Michelle Anne Maree Y. Del pilar ; Francis Charles L. Fernandez ; Jose Ronilo G. Juangco
Health Sciences Journal 2025;14(1):24-29
INTRODUCTION
Cardiovascular diseases (CVD) are a leading global health concern. Modifiable behavioral risk factors are increasingly recognized in young adults, especially among medical students who often live independently. This study investigated the association between living alone and modifiable cardiovascular risk factors—sleep quality, sodium intake, physical activity, and body mass index (BMI)—among medical students at UERMMMCI during the 2022-2023 academic year.
METHODSResearchers conducted an analytical cross-sectional study among 220 medical students. Validated tools were used: Pittsburgh Sleep Quality Index (PSQI), Scored Sodium Questionnaire, International Physical Activity Questionnaire (IPAQ), and BMI classification. Researchers performed statistical analyses using Chi-square tests and calculated relative risks (RR) with 95% confidence intervals.
RESULTSA significant positive association was found between living alone and poor sleep quality (RR 2.132 p = 0.047). No significant associations were observed between living alone and sodium intake (RR 0.96 p = 0.6868), physical activity (RR 1.18 p = 0.2239), or BMI (RR 1.03 p = 0.7367).
CONCLUSIONAmong the studied cardiovascular risk factors, only poor sleep quality was significantly more prevalent among students living alone. These findings highlight the importance of interventions targeting sleep hygiene in this demographic.
Human ; Cardiovascular Diseases ; Risk Factors ; Students, Medical ; Sleep Quality ; Living Alone ; Home Environment
2.Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.
Xiao Yun HU ; Wei Xuan SHENG ; Kang YU ; Jie Tai DUO ; Peng Fei LIU ; Ya Wei LI ; Dong Xin WANG ; Hui Hui MIAO
Biomedical and Environmental Sciences 2025;38(3):328-340
OBJECTIVE:
This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
METHODS:
This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments.
RESULTS:
Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872.
CONCLUSION
We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged
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Aged, 80 and over
;
Female
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Humans
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Male
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Middle Aged
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Cardiovascular Diseases/etiology*
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Machine Learning
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Postoperative Complications/etiology*
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Risk Factors
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Randomized Controlled Trials as Topic
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Secondary Data Analysis
3.Interpretation of Annual Report on Cardiovascular Health and Diseases in China 2024.
Ming Bo LIU ; Xin Ye HE ; Xiao Hong YANG ; Zeng Wu WANG
Biomedical and Environmental Sciences 2025;38(8):893-917
Cardiovascular diseases (CVD) and their risk factors are exerting an increasingly significant impact on public health, and the incidence rate of CVD continues to rise. This article provides an interpretation of essentials from the newly published Annual Report on Cardiovascular Health and Diseases in China (2024), aiming to offer scientific evidence for CVD prevention, treatment, and the formulation of relevant policies.
China/epidemiology*
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Cardiovascular Diseases/prevention & control*
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Humans
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Risk Factors
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Incidence
4.Diverse Subtypes of Cardiovascular Disease Risk Evaluated by Novel PREVENT Associated with Different Polycyclic Aromatic Hydrocarbon Metabolites.
Ye XIN ; Yu Cheng SUN ; Lin CHEN ; Feng Tao CUI ; Ying Ge DUAN ; Han Yun WANG ; Li CHEN ; Tian CHEN ; Pi Ye NIU ; Jun Xiang MA
Biomedical and Environmental Sciences 2025;38(10):1217-1229
OBJECTIVE:
To investigate the association of various polycyclic aromatic hydrocarbon (PAH) metabolites with diverse subtypes of cardiovascular disease (CVD) risk.
METHODS:
A novel predicting risk of cardiovascular disease EVENTs PREVENT equation was used to estimate the 10-year diverse subtypes of CVD risk, and their associations with PAH metabolites were analyzed using multiple logistic regression models, the weighted quantile sum (WQS) model, the quantile g-computation (qgcomp) model, and a stratified analysis of subgroups.
RESULTS:
For this study, six thousand seven hundred and forty-five participants were selected, and significant positive associations were observed between PAHs, naphthalene (NAP), and fluorene (FLU), and the risks of total CVD, atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF). NAP and FLU were the primary contributors to the effects of PAH mixtures, and their associations with total CVD, ASCVD, and HF risk were significant in younger participants (30 ≤ age < 50 years); however, the associations of phenanthrene (PHEN) with ASCVD, HF, coronary heart disease (CHD), and stroke were dominant in aging participants (age ≥ 50 years). Notably, pyrene (PYR) was negatively associated with the risk of ASCVD, HF, CHD, and stroke. Similarly, negative associations of PYR with the four CVD subtypes were noticeable in aging participants.
CONCLUSION
Different PAHs metabolites had different impacts on each CVD subtype among different age groups. Notably, the protective effects of PYR on ASCVD, HF, CHD, and stroke were noticeable in aging individuals.
Humans
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Cardiovascular Diseases/chemically induced*
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Middle Aged
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Polycyclic Aromatic Hydrocarbons/metabolism*
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Male
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Female
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Adult
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Aged
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Risk Factors
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China/epidemiology*
5.Relationship Between Cognitive Impairment and Death in Menopausal Women With Hypertension.
Ling-Juan ZHU ; Tao WANG ; Chao YU ; Wei ZHOU ; Hui-Hui BAO ; Xiao-Shu CHENG
Acta Academiae Medicinae Sinicae 2025;47(4):527-534
Objective To explore the relationships of cognitive impairment with cardiovascular death and all-cause death in menopausal women with hypertension.Methods A total of 4 595 natural-menopausal women with hypertension screened in Wuyuan County of Jiangxi Province from July to August 2018 were selected as the research subjects,and a follow-up investigation of death information was completed from June to August 2022.According to the baseline mini-mental state examination(MMSE)score,all subjects were allocated into a normal cognitive function group and a cognitive impairment group.The basic characteristics and the cumulative risk of death evaluated by the Kaplan-Meier curve were compared between two groups.The multivariate Cox regression model was adopted to analyze the effect of cognitive function on death,and the relationship between MMSE score and death was fitted by the restricted cubic spline.Results A total of 4 595 subjects with the mean age of(65.1±8.4)years were included in this study,in which and 1 859(40.5%)patients with cognitive impairment were detected.During a mean follow-up period of(3.9±0.4)years,199 all-cause deaths were collected,including 102 cardiovascular deaths.The normal cognitive function group and the cognitive impairment group had the cumulative all-cause death rates of 2.6%and 6.9%and the cumulative cardiovascular death rates of 1.0%and 4.0%,respectively.The Kaplan-Meier curve showed that the cumulative risks of all-cause death(χ2=47.287,P<0.001)and cardiovascular death(χ2=45.169,P<0.001)in the cognitive impairment group were higher than those in the normal cognitive function group.The results of multivariate Cox regression analysis indicated that compared with the normal cognitive function group,the cognitive impairment group had increased risks of all-cause death(HR=1.75,95%CI=1.28-2.39,P<0.001)and cardiovascular death(HR=2.56,95%CI=1.61-4.09,P<0.001).The results of the restricted cubic spline curve fitting showed that the MMSE score had linearly negative correlations with the risk of all-cause death(Pall<0.001, P n o n - l i n e a r i t y=0.519)and cardiovascular death(Pall<0.001, P n o n - l i n e a r i t y=0.195).Conclusion Cognitive impairment is an independent risk factor for all-cause death and cardiovascular death in menopausal women with hypertension,and early identification of cognitive impairment in this population is essential for timely intervention.
Humans
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Female
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Cognitive Dysfunction
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Hypertension/complications*
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Aged
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Middle Aged
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Menopause
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Proportional Hazards Models
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Risk Factors
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Cardiovascular Diseases/mortality*
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Cause of Death
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Kaplan-Meier Estimate
6.Role of lifestyle factors on the development and long-term prognosis of pneumonia and cardiovascular disease in the Chinese population.
Yizhen HU ; Qiufen SUN ; Yuting HAN ; Canqing YU ; Yu GUO ; Dianjianyi SUN ; Yuanjie PANG ; Pei PEI ; Ling YANG ; Yiping CHEN ; Huaidong DU ; Mengwei WANG ; Rebecca STEVENS ; Junshi CHEN ; Zhengming CHEN ; Liming LI ; Jun LV
Chinese Medical Journal 2025;138(12):1456-1464
BACKGROUND:
Whether adherence to a healthy lifestyle is associated with a lower risk of developing pneumonia and a better long-term prognosis remains unclear. This study aimed to investigate associations of individual and combined lifestyle factors (LFs) with the incidence risk and long-term prognosis of pneumonia hospitalization.
METHODS:
Using data from the China Kadoorie Biobank study, we used the multistate models to investigate the role of five high-risk LFs, including smoking, excessive alcohol drinking, unhealthy dietary habits, physical inactivity, and unhealthy body shape, alone or in combination in the transitions from a generally healthy state at baseline to pneumonia hospitalization or cardiovascular disease (CVD, regarded as a reference outcome), and subsequently to mortality.
RESULTS:
Most of the five high-risk LFs were associated with increased risks of transitions from baseline to pneumonia and from pneumonia to death, but with different risk estimates. The greater the number of high-risk LFs, the higher the risk of developing pneumonia and long-term mortality risk after pneumonia, with the strength of associations comparable to that of LFs and CVD. Compared to participants with 0-1 high-risk LF, the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for transitions from baseline to pneumonia and from pneumonia to death in those with five high-risk LFs were 1.43 (1.28-1.60) and 1.98 (1.61-2.42), respectively. Correspondingly, the respective HRs (95% CIs) for transitions from baseline to CVD and from CVD to death were 2.00 (1.89-2.11) and 1.44 (1.30-1.59), respectively. The risk estimates changed slightly when further adjusting for the presence of major chronic diseases.
CONCLUSION
In this Chinese population, unhealthy LFs were associated with an increased incidence and long-term mortality risk of pneumonia.
Adult
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Aged
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Female
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Humans
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Male
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Middle Aged
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Cardiovascular Diseases/etiology*
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China/epidemiology*
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Life Style
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Pneumonia/etiology*
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Prognosis
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Risk Factors
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Smoking
7.Cardiovascular diseases in patients with cancer: A comprehensive review of epidemiological trends, cardiac complications, and prognostic implications.
Ali A ALSHAHRANI ; Evangelos KONTOPANTELIS ; Catharine MORGAN ; Rathi RAVINDRARAJAH ; Glen P MARTIN ; Mamas A MAMAS
Chinese Medical Journal 2025;138(2):143-154
This article provides an overview of the current evidence on the epidemiology, overlapping risk factors, and pathophysiology of cardiovascular disease (CVD) in patients with cancer. It explores the cardiotoxic effects of anticancer therapy and their impact on prognosis. Although cancer survival rates have improved over the last two decades, the risk of CVD has risen over time in patients with cancer. CVD and cancer share similar risk factors and a common pathophysiology involving inflammation. Many chemotherapeutic agents used to treat cancer are associated with cardiovascular complications (such as heart failure, myocardial infarction, and thrombosis). Current evidence indicates a significant burden of CVD in patients with cancer, particularly in the first year following cancer diagnosis, with elevated risk persisting beyond this period. This short- and long-term risk of CVD may vary depending on the cancer type and treatment regimen. Early identification of potential cardiovascular risk in patients with cancer, can lead to more favorable clinical and survival outcomes. Given the acute and long-term consequences, patients with cancer require increased cardiovascular care and lifestyle optimization. This article offers valuable insights into the cardiovascular burden and needs of patients with cancer. It is intended for a general medical research readership interested in the intersection of cardiology and oncology.
Humans
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Neoplasms/drug therapy*
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Cardiovascular Diseases/etiology*
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Prognosis
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Risk Factors
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Antineoplastic Agents/therapeutic use*
8.Association between cardiovascular-kidney-metabolic health metrics and long-term cardiovascular risk: Findings from the Chinese Multi-provincial Cohort Study.
Ziyu WANG ; Xuan DENG ; Zhao YANG ; Jiangtao LI ; Pan ZHOU ; Wenlang ZHAO ; Yongchen HAO ; Qiuju DENG ; Na YANG ; Lizhen HAN ; Yue QI ; Jing LIU
Chinese Medical Journal 2025;138(17):2139-2147
BACKGROUND:
The American Heart Association (AHA) introduced the concept of cardiovascular-kidney-metabolic (CKM) health and stage, reflecting the interaction among metabolism, chronic kidney disease (CKD), and the cardiovascular system. However, the association between CKM stage and the long-term risk of cardiovascular disease (CVD) has not been validated. This study aimed to evaluate the long-term CVD risk associated with CKM health metrics and CKM stage using data from a population-based cohort study.
METHODS:
In total, 5293 CVD-free participants were followed up to around 13 years in the Chinese Multi-provincial Cohort Study (CMCS). Considering the pathophysiologic progression of CKM health metrics abnormalities (comprising obesity, central adiposity, prediabetes, diabetes, hypertriglyceridemia, CKD, and metabolic syndrome), participants were divided into CKM stages 0, 1, and 2. The time-dependent Cox regression models were used to estimate the cardiovascular risk associated with CKM health metrics and stage. Additionally, broader CVD outcomes were examined, with a specific assessment of the impact of stage 3 in 2581 participants from the CMCS-Beijing subcohort.
RESULTS:
Among participants, 91.2% (4825/5293) had at least one abnormal CKM health metric, 8.8% (468/5293), 13.3% (704/5293), and 77.9% (4121/5293) were in CKM stages 0, 1, and 2, respectively; and 710 incident CVD cases occurred during a median follow-up time of 13.3 years (interquartile range: 12.1 to 13.6 years). Participants with each poor CKM health metric exhibited significantly higher CVD risk. Compared with stage 0, the hazard ratio (HR) (95% confidence interval [CI]) for CVD incidence was 1.31 (0.84-2.04) in stage 1 and 2.27 (1.57-3.28) in stage 2. Significant interactive impacts existed between CKM stage and age or sex, with higher CVD risk related to increased CKM stages in participants aged <60 years or females.
CONCLUSION
These findings highlight the contribution of CKM health metrics and CKM stage to the long-term risk of CVD, suggesting the importance of multi-component recognition and management of poor CKM health in CVD prevention.
Humans
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Female
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Male
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Cardiovascular Diseases/etiology*
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Middle Aged
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Adult
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Cohort Studies
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Renal Insufficiency, Chronic/metabolism*
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Aged
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Risk Factors
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Metabolic Syndrome/metabolism*
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China
;
East Asian People
9.2024 annual report on cardiovascular health and diseases in China: Data and trend.
Mingbo LIU ; Xinye HE ; Xiaohong YANG ; Zengwu WANG
Chinese Medical Journal 2025;138(23):3037-3049
The incidence of cardiovascular diseases (CVD) together with their associated risk factors increasingly impact public health. According to the data provided in the 2024 Annual Report on Cardiovascular Health and Diseases in China, the crude incidence of cardiovascular and cerebrovascular diseases among Chinese residents aged ≥18 years, including acute myocardial infarction (AMI), angina pectoris treated by percutaneous transluminal coronary angioplasty/stent implantation and/or coronary artery bypass grafting, stroke, and sudden cardiac death was 620.33 per 100,000 population, with 87.6 for AMI. Stroke had an incidence of 491.0 per 100,000 population. The prevalence of adult coronary heart disease (CHD, aged ≥18 years) was 758 per 100,000 population. The CVD mortality in 2021 remained the highest, exceeding that of cancer and other causes. The crude mortality rate of CVD in 2021 was 364.16 per 100,000 population in rural areas and 305.39 per 100,000 population in urban areas. The crude mortality rates of cerebrovascular diseases and CHD among urban and rural residents in 2021 were 140.02 and 175.58, 135.08 and 148.19 per 100,000 population, respectively. In addition to interpreting the key findings of CVD incidence and mortality in China, we also update the data of associated risk factors, including tobacco use, physical activity, diet and nutrition, overweight and obesity, hypertension, dyslipidemia, diabetes, chronic kidney disease, sleep and psychological factors, environmental factors, and the diagnostic conditions of CVD diseases, aiming to provide a scientific foundation for advancing CVD prevention and control, and to inform relevant public health policy development.
Humans
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China/epidemiology*
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Cardiovascular Diseases/mortality*
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Risk Factors
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Adult
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Male
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Female
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Middle Aged
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Incidence
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Cerebrovascular Disorders/epidemiology*
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Aged
10.Health risks associated with infertility and non-obstructive azoospermia.
Eric HUYGHE ; Peter Ka-Fung CHIU
Asian Journal of Andrology 2025;27(3):428-432
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
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Male
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Azoospermia/epidemiology*
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Cardiovascular Diseases/etiology*
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Metabolic Syndrome/epidemiology*
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Infertility, Male/complications*
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Testicular Neoplasms/epidemiology*
;
Hypogonadism/epidemiology*
;
Diabetes Mellitus/epidemiology*
;
Risk Factors
;
Neoplasms/epidemiology*


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