Search Results (1,689)

Background: Alcohol-associated liver disease (AALD) represents significant health burdens worldwide. This study aims to provide a comprehensive overview of the AALD outcomes that were incompletely understood. Methods: The current study utilizes data from the National Health and Nutrition and Examination Survey (NHANES) from 2011–2020, using a stratified, multistage probability cluster design. AALD in the NHANES was defined using clinical laboratory data and self-reported alcohol use, among which fibrosis-4 score of >2.67. Analysis is conducted using weighted, logistic, and Cox linear regression. Results: The initial sample included 23,206 participants aged 20 and older, with recorded cardiovascular status and AST/ALT levels. Participants reporting AALD had a higher percentage of college degrees (p < 0.001) and were more likely to be daily smokers. Asians exhibited the highest rates of AALD compared to other demographics (p < 0.001). The prevalence in private insurance is significantly greater than Medicaid, but the usage trends have been increasing in Medicaid. The trends of advanced fibrosis have been increasing in blacks and Asians, while they have been decreasing among whites and Mexicans. Those with AALD also had higher mean systolic and diastolic blood pressure, as well as elevated fasting glucose levels (p < 0.001). The mortality rate among AALD participants with heart diseases was 25%, compared to 3% among those without (p < 0.001). After adjusting for potential confounding variables, no statistically significant associations were found between AALD status and HF or CAD. However, a clinically significant increase in the odds of stroke was observed within the AALD group (p < 0.001). Conclusions: Our findings indicate Asians have the highest rates of AALD. The trends of advanced fibrosis have been increasing in blacks and Asians. There is an increased prevalence of AALD with heart diseases and a significant increase in mortality with stroke. Full article

Background/Objectives: The expansion of National Health Insurance (NHI) coverage for dental implants in South Korea has substantially increased implant placements among older adults. While implants offer functional and esthetic benefits, their lack of periodontal ligaments alters occlusal force distribution, potentially increasing biomechanical stress on adjacent or opposing teeth. This study aimed to investigate the association between the increased number of dental implants and the incidence of cracked teeth following the introduction of implant insurance. Methods: A retrospective analysis was conducted using the Clinical Data Warehouse of Seoul St. Mary’s Dental Hospital. Patients who underwent molar crown restorations between 2014 and 2022 were included. The incidence and clinical features of cracked teeth were compared before (2014–2015) and after (2016–2022) the introduction of implant insurance. Statistical analyses assessed differences in symptom presentation, pulp status, and treatment outcomes. Results: Among 5044 molars restored with crowns, 1692 were diagnosed with cracks. The incidence of cracked teeth significantly increased after NHI coverage for implants (25.5% vs. 32.6%, p < 0.001). Cases after insurance implementation showed fewer signs and symptoms at initial presentation (67.4% vs. 50.0%, p < 0.001), reduced irreversible pulpitis (37.2% vs. 25.8%, p < 0.001), and increased preservation of pulp vitality (46.9% vs. 57.8%, p < 0.001). These shifts may reflect changes in occlusal adjustment practices and earlier clinical intervention. Conclusions: The findings suggest a temporal link between increased implant placement and the rising incidence of cracked teeth. Implant-induced occlusal changes may contribute to this trend. Careful occlusal evaluation and follow-up are essential after implant placement, and further prospective studies are warranted to confirm causality and refine prevention strategies. Full article

Background/Objectives: The two major subtypes of inflammatory bowel disease (IBD)—Crohn’s disease (CD) and ulcerative colitis (UC)—are known to increase the likelihood of developing colorectal cancer (CRC). While this relationship has been well studied in Western populations, evidence from East Asia remains limited and inconsistent. Using nationwide cohort data, this study explored the potential connection between IBD and CRC in a large Korean population. Methods: We conducted a retrospective cohort study using data from the Korean National Health Insurance Service–National Sample Cohort from 2005 to 2019. A total of 9920 CRC patients were matched 1:4 with 39,680 controls using propensity scores based on age, sex, income, and region. Overlap weighting and multivariable logistic regression were used to evaluate the association between IBD and CRC. Subgroup analyses were conducted to assess effect modification by demographic and clinical factors. Results: IBD markedly increased the likelihood of developing CRC (adjusted odds ratio (aOR) = 1.38; 95% confidence interval (CI): 1.20–1.58; p < 0.001), with the association primarily driven by UC (aOR = 1.52; 95% CI: 1.27–1.83). CD appeared unrelated to heightened CRC risk overall, though a significant association was observed among low-income CD patients (aOR = 1.58; 95% CI: 1.15–2.16). The UC–CRC association persisted across all subgroups, including patients without comorbidities. Conclusions: Our findings support an independent association between IBD—particularly UC—and increased CRC risk in Korea. These results underscore the need for personalized CRC surveillance strategies that account for disease subtype, comorbidity burden, and socioeconomic status, especially in vulnerable subpopulations. Full article

Objective: This study aimed to investigate the impact of depression and anxiety disorders on mortality in women diagnosed with gynecologic cancers, utilizing nationwide retrospective cohort data. Methods: Data from the Korean National Health Insurance Service (NHIS) database, covering women diagnosed with cervical, endometrial, or ovarian cancers between 2007 and 2014, were analyzed. Women diagnosed with depression or anxiety disorders within one year after cancer diagnosis were identified and compared with a control group comprising patients with gynecologic cancers who did not develop either disorder during the same post-diagnosis period. Mortality was evaluated as the primary outcome. Results: Of 85,327 women analyzed, 784 (0.9%) were diagnosed with depression or anxiety disorders. Patients with depression or anxiety exhibited significantly higher mortality (38.4% vs. 29.9%; p < 0.001). Multivariate analysis indicated that depression significantly increased mortality risk (OR 1.46, 95% CI 1.27–1.66), whereas anxiety alone showed no significant effect (OR 0.97, 95% CI 0.74–1.27). Combined depression and anxiety showed the highest mortality risk (OR 1.47, 95% CI 1.31–1.65). Conclusions: Depression and anxiety disorders are significant predictors of increased mortality in women with gynecologic cancers, emphasizing the necessity for integrated mental health assessment and interventions in oncologic care to improve both survival and quality of life. Full article

Background/Objectives: Urban green space has been increasingly recognized as a determinant of maternal and child health. This study investigated the association between prenatal exposure to different types of green space and the risk of congenital anomalies in South Korea. Methods: We analyzed data from the National Health Insurance Service (N = 142,422). Green space exposure was measured at the area level and categorized into grassland and forest; statistical analysis was performed using generalized estimating equations and generalized additive models to analyze the associations. Additionally, subgroup and sensitivity analyses were performed. Results: GEE analysis showed that a 10% increase in the proportion of grassland in a residential district was associated with a reduced risk of nervous system (adjusted odds ratio [aOR]: 0.77, 95% confidence interval [CI]: 0.63–0.94) and genitourinary system anomalies (aOR: 0.83, 95% CI: 0.71–0.97). The subgroup analysis results showed significance only for male infants, but the difference between the sexes was not significant. In the quartile-based analysis, we found a slightly significant p-value for trend for the effect of forests on digestive system anomalies, but the trend was toward increasing risk. In a sensitivity analysis with different exposure classifications, the overall and nervous system anomalies in built green space showed that the risk decreased as green space increased compared to that in the lowest quartile. Conclusions: Our results highlight the importance of spatial environmental factors during pregnancy and suggest that different types of green spaces differentially impact the offspring’s early health outcomes. This study suggests the need for built environment planning as part of preventive maternal and child health strategies. Full article

Background: Septic arthritis is an orthopedic emergency. However, optimal biomarkers and diagnostic criteria remain unclear. The study aimed to evaluate the diagnostic performance of routinely used and novel biomarkers, including serum C-reactive protein (CRP), synovial white blood cells (WBC), pentraxin-3 (PTX3), interleukin-6 (IL-6), and presepsin, in distinguishing septic from non-septic arthritis. Methods: Thirty-one patients undergoing arthrocentesis were included. Patients were categorized into septic and non-septic arthritis groups. Synovial fluid and serum samples were analyzed for five biomarkers. Diagnostic performance was assessed by calculating the area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: Synovial WBC demonstrated the highest diagnostic performance among single biomarkers (AUC = 0.837, p = 0.012). Among novel biomarkers, PTX3 showed the highest accuracy and sensitivity. The serum CRP and synovial WBC combination yielded an AUC of 0.853, with 100% sensitivity, 68.0% specificity, 42.9% PPV, and 100% NPV. Adding all three novel biomarkers to this combination increased the AUC to 0.887 (p = 0.004), maintaining 100% sensitivity and NPV. When individually added, PTX3 achieved 100% sensitivity and NPV, while presepsin showed the highest specificity (96.0%), PPV (75.0%), and accuracy (87.1%). Conclusions: Serum CRP and synovial WBC remain essential biomarkers for diagnosing septic arthritis; however, combining them with PTX3, IL-6, and presepsin improved diagnostic accuracy. PTX3 is best suited for ruling out septic arthritis due to its high sensitivity and NPV, whereas presepsin is more useful for confirmation, given its specificity and PPV. These results support a tailored biomarker approach aligned with diagnostic intent. Full article

Background and Objectives: Diabetes mellitus (DM) significantly impacts post-surgical recovery and fracture healing; however, few studies have specifically investigated the impact of DM on outcomes in patients undergoing surgical stabilization of rib fractures (SSRF). This study investigated the potential influence of DM on perioperative outcomes following SSRF, using data from Taiwan’s National Health Insurance Research Database (NHIRD). Materials and Methods: Data of 1603 patients with multiple rib fractures who underwent SSRF between 2001 and 2019 were retrospectively analyzed. Patients were categorized into three groups: no DM, DM without chronic complications, and DM with chronic complications. The associations between DM status and perioperative outcomes, including hospital length of stay (LOS), in-hospital mortality, readmission rates, and complications such as pneumonia, surgical site infection (SSI), acute myocardial infarction (AMI), and total hospital costs were determined using univariate and multivariable regression analyses. Results: The mean age of the 1603 patients was 52.0 years, and 71% were male. Patients with DM and chronic complications had higher risks of 14-day readmission (adjusted odds ratio [aOR] = 2.99; 95% confidence interval [CI]: 1.18–7.62), 15–30 day readmission (aOR = 3.28; 95% CI: 1.25–8.60), SSI (aOR = 2.90; 95% CI: 1.37–6.14), AMI (aOR = 3.44; 95% CI: 1.28–9.24), and acute respiratory distress syndrome (ARDS) (aOR = 1.96; 95% CI: 1.03–3.74). In conclusion, DM, particularly DM with chronic complications, significantly increases the risk of adverse short-term outcomes following SSRF. Conclusions: These findings emphasize the need for enhanced care for patients with DM to optimize the outcomes of SSRF. Full article

Background/Objectives: There are no reports about the nationwide trends in abdominal aortic aneurysm (AAA) repair and mortality rates. This study aims to evaluate the trend in AAA treatment and related mortality, including ruptured AAAs (rAAAs) and intact AAAs (iAAAs) over the last 13 years. Methods: This serial, cross-sectional study investigated the time trends in patients who were treated for an AAA and underwent an aneurysm repair between 2010 and 2022. Data from the Health Insurance Review and Assessment Service (HIRA) and Statistics Korea were used. A linear-by-linear association and Poisson regression analysis were performed to determine the changes in the treatment of AAAs and related mortality. Results: The number of patients with an rAAA increased from 462 in 2010 to 770 in 2022 (relative risk, RR 1.57; p < 0.0001). The number of patients with an iAAA increased from 3685 to 12,399 in the same period (RR 3.16; p < 0.0001). Endovascular aneurysm repair (EVAR) has been more commonly performed since 2011. During the study period, EVAR increased from 406 to 1161 (RR 2.68; p < 0.0001). Although the annual mortality rates after iAAA treatment decreased from 1.4% to 0.7% (mean mortality rate, 1.1%), the mortality rates after rAAA treatment were similar, ranging from 34.6% to 34.2%, during the study period (mean mortality rate, 35.2%). Conclusions: During the last 13 years, the annual number of patients with rAAAs and iAAAs has increased. Since 2011, EVAR has been more commonly performed. The annual iAAA-related mortality rate decreased along with the increasing trend in EVAR. However, the annual rAAA-related mortality rate did not change. Full article

Purpose: The identification of cardiovascular risk factors in metastatic prostate cancer (PCa) patients prior to the initiation of androgen receptor pathway inhibitors (ARPIs) is important yet challenging. Methods and Results: A nationwide cohort study was conducted utilizing data from the National Health Insurance Research Database containing the Taiwan Cancer Registry. The study population comprised 4739 PCa patients who received abiraterone or enzalutamide between 1 January 2014, and 28 February 2022. The cohort was divided into a training set (n = 3318) and a validation set (n = 1421). Machine learning techniques with random survival forest (RSF) model incorporating 16 variables was developed to predict major adverse cardiovascular events (MACEs). Over a mean follow-up period of 2.1 years, MACEs occurred in 10.9% and 11.3% of the training and validation cohorts, respectively. The RSF model identified five key predictive indicators: age < 65 or ≥75 years, heart failure, stroke, hypertension, and myocardial infarction. The model exhibited robust performance, achieving an area under the curve (AUC) of 85.1% in the training set and demonstrating strong external validity with an AUC of 85.5% in the validation cohort. A positive correlation was observed between the number of risk factors and the incidence of MACEs. Conclusions: This machine learning approach identified five predictors of MACEs in PCa patients receiving ARPIs. These findings highlight the need for comprehensive cardiovascular risk assessment and vigilant monitoring in this patient population. Full article

Purpose: Despite increasing rates of prostate cancer among men, prostate cancer risk assessments continue to rely on invasive laboratory tests like prostate-specific antigen and Gleason score tests. This study aimed to develop a noninvasive, data-driven risk model for patients to evaluate themselves before deciding whether to visit a hospital. Materials and Methods: To train the model, data from the National Health Insurance Sharing Service cohort datasets, comprising 347,575 individuals, including 1928 with malignant neoplasms of the prostate, 5 with malignant neoplasms of the penis, 18 with malignant neoplasms of the testis, and 14 with malignant neoplasms of the epididymis, were used. The risk model harnessed easily accessible inputs, such as history of treatment for diseases including stroke, heart disease, and cancer; height; weight; exercise days per week; and duration of smoking. An additional 286,727 public datasets were obtained from the National Health Insurance Sharing Service, which included 434 (0.15%) prostate cancer incidences. Results: The risk calculator was built based on Cox proportional hazards regression, and I validated the model by calibration using predictions and observations. The concordance index was 0.573. Additional calibration of the risk calculator was performed to ensure confidence in accuracy verification. Ultimately, the actual proof showed a sensitivity of 60 (60.5) for identifying a high-risk population. Conclusions: The feasibility of the model to evaluate prostate cancer risk without invasive tests was demonstrated using a public dataset. As a tool for individuals to use before hospital visits, this model could improve public health and reduce social expenses for medical treatment. Full article

Background: Pain is a common, often debilitating ailment that may necessitate considerable health service utilization. However, there is a need to assess the associations of pain intensity and other variables with health service utilization among United States adults who have pain. Methods: This cross-sectional database analysis made use of the Medical Expenditure Panel Survey full-year consolidated data file and included United States adults (≥18 years) who have pain. The dependent variables consisted of four health service utilization variables, which included the number of emergency room visits, inpatient discharges, office visits, and outpatient visits in 2021. The number of visits or discharges were categorized as either ≥1 or 0. The independent variable was pain intensity (extreme, quite a bit, moderate, or little pain). Other variables analyzed included age, race, ethnicity, sex, marriage, education, employment, income, insurance, chronic conditions, limitations, exercise, smoking, physical health, and mental health. Chi-squared tests compared differences between pain intensity groups, and multivariable logistic regression models assessed the associations of pain intensity and other variables with each of the four health service utilization variables. The analysis was weighted for national estimates. The significance (alpha) level was 0.05. Results: This analysis included 6280 adults, representing 89,314,769 United States adults with pain. In the multivariable analyses, there were statistically significant associations for extreme pain (odds ratio = 1.72, 95% confidence interval = 1.27–2.33), quite a bit of pain (odds ratio = 1.75, 95% confidence interval=1.37–2.24), and moderate pain (odds ratio = 1.28, 95% confidence interval = 1.02–1.60) versus little pain with emergency room visits, extreme pain (odds ratio = 2.10, 95% confidence interval = 1.44–3.08) and quite a bit of pain (odds ratio = 1.66, 95% confidence interval = 1.21–2.28) versus little pain with inpatient discharges, and quite a bit of pain (odds ratio = 1.47, 95% confidence interval = 1.03–2.11) versus little pain with office visits. There was no correlation between pain intensity levels and outpatient visits. In addition, several other variables were associated with various health service utilization variables. Conclusions: This database analysis discovered greater pain intensity levels were often correlated with increased health service utilization, including more emergency room, inpatient, and office visits. These findings may inform the development of targeted interventions for people with specific characteristics. Further work is needed to implement initiatives that optimize health service utilization and ultimately improve health outcomes for United States adults who have pain. Full article

Background/Objectives: Low-density lipoprotein cholesterol (LDL-C) is a causal factor in the development of atherosclerosis and a predictor of cardiovascular disease. However, the association between LDL-C levels and cardiovascular outcomes in patients undergoing dialysis remains controversial, with current guidelines advising against initiating statin therapy in this population. This study investigated the relationship between LDL-C levels and cardiovascular outcomes in Korean adults undergoing dialysis, using nationwide data. Methods: A total of 21,692 patients with end-stage kidney disease undergoing dialysis between 2009 and 2017 were identified from the Korean National Health Insurance Service database. Statin non-users (primary cohort) and users (secondary cohort) comprised 15,414 and 6278 patients, respectively. LDL-C levels were categorized, and cardiovascular outcomes including composites of cardiovascular death, myocardial infarction, and ischemic stroke were analyzed. Results: Among statin non-users, LDL-C levels > 100 mg/dL were significantly associated with an increased risk of the composite outcome, in a dose-dependent manner, compared with LDL-C levels < 70 mg/dL. Specifically, participants with LDL-C levels ≥ 160 mg/dL demonstrated a 43% increased risk of the composite outcome and a 2.25-fold higher risk of myocardial infarction compared to those with LDL-C levels < 70 mg/dL. Among statin users, LDL-C levels > 130 mg/dL were associated with an increased risk of the composite outcome. Conclusions: This study highlights the significant association between elevated LDL-C levels and adverse cardiovascular outcomes in patients undergoing dialysis. These findings underscore the importance of close monitoring and proactive management of LDL-C levels in this high-risk population. Future research should focus on developing tailored lipid-lowering strategies to improve cardiovascular outcomes in these patients. Full article

Neglecting preventive healthcare policies has contributed to the global surge in chronic diseases, increased hospitalizations, declining quality of care, and escalating costs. Non-communicable diseases (NCDs)—notably cardiovascular conditions, diabetes, and cancer—consume over 80% of healthcare expenditure and account for more than 60% of global deaths, which are projected to exceed 75% by 2030. Poor diets, sedentary lifestyles, regulatory loopholes, and underfunded public health initiatives are driving this crisis. Compounding the issue are flawed policies, congressional lobbying, and conflicts of interest that prioritize costly, hospital-based, symptom-driven care over identifying and treating to eliminate root causes and disease prevention. Regulatory agencies are failing to deliver their intended functions. For instance, the U.S. Food and Drug Administration’s (FDA) broad oversight across drugs, devices, food, and supplements has resulted in inefficiencies, reduced transparency, and public safety risks. This broad mandate has allowed the release of unsafe drugs, food additives, and supplements, contributing to the rising childhood diseases, the burden of chronic illness, and over-medicalization. The author proposes separating oversight responsibilities: transferring authority over food, supplements, and OTC products to a new Food and Nutraceutical Agency (FNA), allowing the FDA to be restructured as the Drug and Device Agency (DDA), to refocus on pharmaceuticals and medical devices. While complete reform requires Congressional action, interim policy shifts are urgently needed to improve public health. Broader structural changes—including overhauling the Affordable Care Act, eliminating waste and fraud, redesigning regulatory and insurance systems, and eliminating intermediaries are essential to reducing costs, improving care, and transforming national and global health outcomes. The information provided herein can serve as a White Paper to help reform health agencies and healthcare systems for greater efficiency and lower costs in the USA and globally. Full article

Background: Diabetes is rapidly increasing in developing and industrializing nations, primarily due to type 2 diabetes (T2DM). With the global prevalence of diabetes steadily increasing, estimates suggest that by 2045, nearly 548 million people will be living with the disease worldwide. Alzheimer’s disease (AD), recognized as the primary contributor to dementia in aging populations, exhibits an escalating prevalence that parallels the demographic shifts toward older age groups worldwide. This progressive neurodegenerative disorder has emerged as a critical public health challenge, with epidemiological patterns closely tracking the trajectory of population aging across industrialized and developing nations. This study investigates whether metformin may help reduce the risk of dementia. Previous studies from various countries have explored the association between metformin use and dementia risk; however, the findings have been inconsistent. Therefore, we conducted this study to examine whether the observed protective effect of metformin also applies to the Taiwanese (Han Chinese) population, potentially providing valuable insights into ethnic or regional differences in drug response. Methods: We conducted a retrospective cohort study using data from the Longitudinal Health Insurance Database 2000 (LHID2000), including 2 million individuals from 2000 to 2013. Patients with T2DM aged ≥40 years who initiated metformin between 2000 and 2005 formed the exposed group, while those starting other second-line antidiabetic medications formed the non-exposed group. Propensity score matching was used to control for age, sex, index date, and major comorbidities. Incident dementia (2007–2013) was identified using relevant ICD-9-CM codes. Adjusted hazard ratios were estimated using Cox regression with time-dependent covariates. Results: The metformin-exposed cohort demonstrated a risk reduction for dementia incidence relative to the comparator group (adjusted HR 0.472, 95% CI = 0.328–0.679). This protective association remained robust in sex-stratified analyses and age-stratified subgroups. Temporal analysis further revealed a duration-dependent risk attenuation, with extended therapeutic exposure correlating with progressive dementia risk decrement. Conclusions: Our findings suggest that metformin use may be associated with a lower risk of developing dementia in individuals with type 2 diabetes mellitus. Full article