Prevalence Of Disease Research Articles

Associations of static and dynamic iris parameters in healthy Chinese individuals: the Handan Eye Study.

To determine the associations between the demographic factors (age and sex) and physiological dynamic iris changes and explore the associated factors for iris cross-sectional area (IA) change in healthy Chinese individuals. This cross-sectional study included individuals aged ≥40 years with an open angle and underwent anterior segment optical coherence tomography under light and dark conditions from the follow-up cohort of the Handan Eye Study. Ocular data from the right eye were analyzed. The Pearson correlation coefficient was used to assess the relationship between age and iris parameters, including iris thickness (IT), IA, and iris curvature (IC), as well as the pupil diameter (PD) in the dark, and their changes from light to dark conditions. Linear regression analysis was performed to identify the potential factors associated with IA change. The final analysis included 465 healthy individuals. PD in dark, IA change and PD change decreased with age (P < 0.001), whereas IC increased with age (P < 0.001). IT and IT change were smaller, and IC was larger in women than that in men (P = 0.021, 0.007, and 0.010, respectively). Older age (P = 0.041), larger lens thickness (P = 0.013), larger IC change (P < 0.001), and smaller PD change (P < 0.001) were significantly associated with a smaller IA change. Our study demonstrated the associations of static and dynamic iris parameters in healthy Chinese individuals. The findings provided a possible explanation for the higher prevalence of primary angle closure disease in elderly and female populations.

Cardiovascular risk in individuals with kidney disease

The worldwide prevalence of chronic kidney disease (CKD) is estimated to exceed 700 million persons, with the incidence steadily increasing due to factors such as an aging population and the growing prevalence of chronic diseases such as diabetes and hypertension. Cardiovascular disease is the primary cause of illness and mortality in persons with nephropathy. Effectively treating nephropathy and cardiovascular risk in individuals with kidney disease is a major challenge in clinical practice. Every patient requires a comprehensive assessment and tailored therapy. In order to reduce the likelihood of cardiovascular events in patients with nephropathy, it is necessary to avoid and rapidly address cardiovascular risk factors. In order to enhance the overall well-being and longevity of individuals with kidney disease, it is essential to identify and address any cardiovascular issues.

Cross-sectional survey of 43,517 dogs in the Dog Aging Project identifies owner-reported lifetime prevalence and characteristics of gastrointestinal disease.

To evaluate the prevalence of and characteristics associated with owner-reported gastrointestinal (GI) disease in companion dogs within the US. Cross-sectional owner-reported survey study of 43,517 dogs enrolled in the DAP between December 26, 2019, and December 31, 2022. Dogs were grouped on the basis of having an owner-reported GI disorder (ORGID) versus not having that ORGID at any point in their history (control group). Multivariable logistic regression analysis was used to estimate the association between dog characteristics and ORGIDs with prevalence ORs (PORs). Of the 43,517 dogs in the DAP Pack, 30,677 (70%) had no history of ORGIDs and 12,840 (30%) had at least 1 ORGID. The most common ORGIDs included infectious diseases (7,580 of 43,517 [17%]), chronic diarrhea (1,316 [3%]), foreign bodies (1,086 [2%]), anal sac impactions (1,031 [2%]), pancreatitis (857 [2%]), inflammatory GI disease (615 [1%]), chronic vomiting (519 [1%]), and acute hemorrhagic diarrhea syndrome (388 [1%]). Compared to controls, dogs with noninfectious ORGIDs had greater odds of having a history of being castrated (POR, 2.55; 95% CI, 2.29 to 2.85), underweight (POR, 1.58; 95% CI, 1.47 to 1.70), or fed primarily canned food (POR, 2.51; 95% CI, 2.21 to 2.85) or receiving probiotics (POR, 1.69; 95% CI, 1.58 to 1.81) or nonprescription GI medications (POR, 4.06; 95% CI, 3.80 to 4.33). Dog owners in the US recruited from the general public reported a high prevalence of GI disorders in their dogs. Infectious and noninfectious ORGIDs were reported with approximately equal frequency. Dogs with ORGIDs were more likely to have a history of receiving probiotics or nonprescription GI medications, which may indicate that owners are changing lifestyle practices to accommodate these GI disorders, although future longitudinal research is needed.

Intelligent cardiovascular disease diagnosis using deep learning enhanced neural network with ant colony optimization

To identify patterns in big medical datasets and use Deep Learning and Machine Learning (ML) to reliably diagnose Cardio Vascular Disease (CVD), researchers are currently delving deeply into these fields. Training on large datasets and producing highly accurate validation results is exceedingly difficult. Furthermore, early and precise diagnosis is necessary due to the increased global prevalence of cardiovascular disease (CVD). However, the increasing complexity of healthcare datasets makes it challenging to detect feature connections and produce precise predictions. To address these issues, the Intelligent Cardiovascular Disease Diagnosis based on Ant Colony Optimisation with Enhanced Deep Learning (ICVD-ACOEDL) model was developed. This model employs feature selection (FS) and hyperparameter optimization to diagnose CVD. Applying a min–max scaler, medical data is first consistently prepared. The key feature that sets ICVD-ACOEDL apart is the use of Ant Colony Optimisation (ACO) to select an optimal feature subset, which in turn helps to upgrade the performance of the ensuring deep learning enhanced neural network (DLENN) classifier. The model reforms the hyperparameters of DLENN for CVD classification using Bayesian optimization. Comprehensive evaluations on benchmark medical datasets show that ICVD-ACOEDL exceeds existing techniques, indicating that it could have a significant impact on CVD diagnosis. The model furnishes a workable way to increase CVD classification efficiency and accuracy in real-world medical situations by incorporating ACO for feature selection, min–max scaling for data pre-processing, and Bayesian optimization for hyperparameter tweaking.

Functional Tricuspid Regurgitation in the Transcatheter Aortic Valve Replacement Population and Emerging Transcatheter Tricuspid Valve Interventions

Transcatheter aortic valve replacement (TAVR) has revolutionized the management of aortic valve disease. However, its success has brought attention to concurrent tricuspid valve disease and the inadequacy of treatments. This review explores the emerging field of transcatheter tricuspid valve interventions (TTVI) after TAVR. We address the pathophysiology and prevalence of post-TAVR tricuspid valve disease and TTVI strategies, including repair, replacement, annuloplasty, and edge-to-edge repair. We also discuss clinical studies assessing TTVI safety and efficacy, including for patients with previous TAVR. Collaboration among clinical disciplines remains crucial for advancing this emerging field to establish best practices regarding patient selection and procedural complexities.

Ongoing transmission of onchocerciasis in the Pru District of Ghana after two decades of mass drug administration with ivermectin and comparative identification of members of the Simulium damnosum complex using cytological and morphological techniques

Background Human onchocerciasis remains a public health problem in Ghana. Mass drug administration (MDA) with ivermectin (IVM) has reduced disease morbidity and prevalence, but the transmission of onchocerciasis remains ongoing in several endemic foci. We investigated parasite transmission in some endemic communities in Ghana that had received > 18 rounds of annual MDA with IVM and determined the species composition of black fly (Simulium damnosum) vectors in these areas.MethodsAdult female black flies were collected using human landing catches and identified as either forest or savanna species using morpho-taxonomic keys. The adult flies underwent dissection to determine their parity and detect any O. volvulus larvae, followed by the calculation of entomological indices. Simulium damnosum s.l. larvae were collected and preserved in freshly prepared Carnoy’s fixative and were later used for cytotaxonomic studies.ResultsA total of 9,983 adult flies were caught: 6,569 and 3,414 in the rainy and dry seasons respectively. Black fly biting activities over the study period showed bimodal or trimodal patterns. The highest monthly biting rate (MBR) of 10,578.75 bites/person/month was recorded in July in Beposo, while the highest monthly transmission potential of 100.69 infective bites/person/month was recorded in Asubende in August. Morphological analysis of 2,032 flies showed that 99.8% (2,028) of the flies were savanna species, with only 4 (0.2%) adult flies being of the forest species. Cytogenetic studies on 114 black fly larvae revealed three cytospecies (Simulium damnosum s.s., S. sirbanum and S. sanctipauli) in the study area.ConclusionsThe present studies confirmed an ongoing transmission of onchocerciasis in the study communities except Abua-1. It also provides further information on biting behaviors and onchocerciasis transmission indices in the study communities. Further, our data confirmed the savanna species (S. damnosum s.s. and S. sirbanum) of the S.damnosum s.l. to be the major vectors of onchocerciasis in the study areas, with only an occasional influx of forest cytotypes.Graphical

Toward Digital Periodontal Health: Recent Advances and Future Perspectives

Periodontal diseases, ranging from gingivitis to periodontitis, are prevalent oral diseases affecting over 50% of the global population. These diseases arise from infections and inflammation of the gums and supporting bones, significantly impacting oral health. The established link between periodontal diseases and systemic diseases, such as cardiovascular diseases, underscores their importance as a public health concern. Consequently, the early detection and prevention of periodontal diseases have become critical objectives in healthcare, particularly through the integration of advanced artificial intelligence (AI) technologies. This paper aims to bridge the gap between clinical practices and cutting-edge technologies by providing a comprehensive review of current research. We examine the identification of causative factors, disease progression, and the role of AI in enhancing early detection and treatment. Our goal is to underscore the importance of early intervention in improving patient outcomes and to stimulate further interest among researchers, bioengineers, and AI specialists in the ongoing exploration of AI applications in periodontal disease diagnosis.

Deep humoral profiling coupled to interpretable machine learning unveils diagnostic markers and pathophysiology of schistosomiasis.

Schistosomiasis, a highly prevalent parasitic disease, affects more than 200 million people worldwide. Current diagnostics based on parasite egg detection in stool detect infection only at a late stage, and current antibody-based tests cannot distinguish past from current infection. Here, we developed and used a multiplexed antibody profiling platform to obtain a comprehensive repertoire of antihelminth humoral profiles including isotype, subclass, Fc receptor (FcR) binding, and glycosylation profiles of antigen-specific antibodies. Using Essential Regression (ER) and SLIDE, interpretable machine learning methods, we identified latent factors (context-specific groups) that move beyond biomarkers and provide insights into the pathophysiology of different stages of schistosome infection. By comparing profiles of infected and healthy individuals, we identified modules with unique humoral signatures of active disease, including hallmark signatures of parasitic infection such as elevated immunoglobulin G4 (IgG4). However, we also captured previously uncharacterized humoral responses including elevated FcR binding and specific antibody glycoforms in patients with active infection, helping distinguish them from those without active infection but with equivalent antibody titers. This signature was validated in an independent cohort. Our approach also uncovered two distinct endotypes, nonpatent infection and prior infection, in those who were not actively infected. Higher amounts of IgG1 and FcR1/FcR3A binding were also found to be likely protective of the transition from nonpatent to active infection. Overall, we unveiled markers for antibody-based diagnostics and latent factors underlying the pathogenesis of schistosome infection. Our results suggest that selective antigen targeting could be useful in early detection, thus controlling infection severity.

Navigating the Neurobiology of Parkinson’s: The Impact and Potential of α-Synuclein

Parkinson’s disease (PD) is the second most prevalent neurodegenerative disease worldwide; therefore, since its initial description, significant progress has been made, yet a mystery remains regarding its pathogenesis and elusive root cause. The widespread distribution of pathological α-synuclein (αSyn) aggregates throughout the body raises inquiries regarding the etiology, which has prompted several hypotheses, with the most prominent one being αSyn-associated proteinopathy. The identification of αSyn protein within Lewy bodies, coupled with genetic evidence linking αSyn locus duplication, triplication, as well as point mutations to familial Parkinson’s disease, has underscored the significance of αSyn in initiating and propagating Lewy body pathology throughout the brain. In monogenic and sporadic PD, the presence of early inflammation and synaptic dysfunction leads to αSyn aggregation and neuronal death through mitochondrial, lysosomal, and endosomal functional impairment. However, much remains to be understood about αSyn pathogenesis, which is heavily grounded in biomarkers and treatment strategies. In this review, we provide emerging new evidence on the current knowledge about αSyn’s pathophysiological impact on PD, and its presumable role as a specific disease biomarker or main target of disease-modifying therapies, highlighting that this understanding today offers the best potential of disease-modifying therapy in the near future.

Effects of platelet-rich plasma injection on electrical activity and biomechanics of the erector spinae muscles in lumbar myofascial pain syndrome

Low back pain (LBP) is a highly prevalent disease. Among the various causes of LBP, one of the most frequent is myofascial pain syndrome (MPS) which affects the spinal stabilizer muscles. The aims of this study were to compare the differences in muscular electrical activity and biomechanical properties between the painful and non-painful sides in patients with unilateral MPS and to verify the feasibility of surface electromyography (sEMG) and MyotonPRO for assisting in MPS assessment. Forty patients with unilateral lumbar MPS were recruited via the Department of Rehabilitation Medicine Center of West China Hospital Sichuan University from October 2022 to October 2023. The electrical properties of the bilateral erector spinae muscles were characterized by sEMG signals during a trunk extension task. The following four time-domain features of sEMG were extracted: root mean square (RMS), mean absolute value (MAV), integrated EMG (iEMG), and waveform length (WL). And two frequency domain features were extracted: the median frequency (MDF) and mean power frequency (MPF). The mechanical properties of the muscles were assessed by MyotonPRO at rest. The following biomechanical parameters were acquired: oscillation frequency [Hz], dynamic stiffness [N/m], logarithmic decrement, relaxation time [ms], and Creep. The visual analog scale (VAS) was used to evaluate the pain severity, and the Oswestry Disability Index (ODI) was used to evaluate the severity of disability and disruption to lifestyle activities caused by LBP pain. The outcome measures were obtained prior to the Platelet-rich plasma (PRP) treatment and repeated two weeks after treatment. (1) Prior to the PRP treatment, all sEMG time-domain features on the painful side were significantly higher than those on the non-painful side (RMS, p < 0.001; MAV, p < 0.001; iEMG, p < 0.001; WL, p = 0.001). However, there was no significant difference in the sEMG frequency-domain features (MPF, p = 0.478; MDF, p = 0.758). On the mechanical side, there were significant differences in oscillation frequency (p = 0.041) and logarithmic decrement (p = 0.022) between the painful side and non-painful side, but no significant differences in dynamic stiffness, relaxation time, and creep (both p > 0.05). (2) Two weeks after the PRP treatment, statistically significant decreases were observed in both post-treatment VAS (p < 0.001) and ODI scales (p < 0.001), indicating the PRP treatment clinically significantly reduced the level of. MPS. This change coincided with all sEMG time-domain features, in which the values at the painful side decreased significantly (RMS, p = 0.001; MAV, p = 0.001; iEMG, p = 0.001; WL, p = 0.001). However, no significant difference in the sEMG frequency-domain features (MPF, p = 0.620; MDF, p = 0.850) was found. On the mechanical side, only logarithmic decrement on the painful side increased significantly (p < 0.001). Our combined MyotonPRO and sEMG results indicated that MPS likely leads to increased muscle tone and decreased muscle elasticity, manifested by abnormal time-domain features of sEMG and biomechanical properties. The changes in these objective measurements were agreed with the changes in subjective outcome measures of pain and function currently assessed in the patients with MPS. A single PRP treatment may alleviate muscle dysfunction caused by MPS. These preliminary results demonstrated the potential feasibility of using sEMG and MyotonPRO as tools for assessing the neuromuscular function of MPS.

Epigenetic Pathways Linking Fetal Development to Metabolic Syndrome: Mechanisms and Implications

This review explores the intricate connections between early developmental environments, epigenetic mechanisms, and long-term health outcomes. The concept of fetal programming highlights how maternal stress, nutrition, and other environmental factors during embryonic and fetal development can induce physiological changes with persistent effects extending into adulthood and across generations. Evidence suggests that these early life exposures can lead to complex diseases such as cardiovascular conditions, diabetes, and metabolic syndrome. The role of epigenetic modifications—particularly DNA methylation and histone modifications—is emphasized as a crucial mechanism through which environmental factors influence gene expression and disease susceptibility. Additionally, this review discusses the significance of sex-specific epigenetic marks and their impact on disease risk, illustrating how sex chromosomes and fluctuating sex hormones contribute to sexual dimorphism in disease prevalence. The need for further research is underscored, with a focus on understanding the factors that shape fetal growth trajectories, the mechanisms by which nutrients and hormones alter gene expression, and the barriers to healthy eating among women. Addressing these issues is vital for reducing chronic disease prevalence and improving public health across generations.

Determining the optimal ratio of resistant to susceptible bentgrass cultivars to reduce dollar spot severity

AbstractDollar spot, caused by Clarireedia spp., is the most prevalent disease on creeping bentgrass golf fairways. Interseeding newer dollar spot‐resistant cultivars into susceptible bentgrass stands could reduce dollar spot severity and the need for resultant fungicide use. This study was conducted to determine the optimal ratio of resistant to susceptible cultivars in a blend that will result in dollar spot reduction. Greenhouse experiments were conducted on cultivar blend ratios (0%, 10%, 25%, 50%, 75%, 90%, 100%) of dollar spot‐resistant (Pure Select, 007XL, Coho) and susceptible (Penncross) bentgrass challenged with inoculation of two Clarireedia spp. isolates. Disease severity was determined using visual estimates and digital image analysis. Dollar spot severity was significantly influenced by the Clarireedia isolate, with a fungicide‐resistant isolate being more aggressive and producing more disease than a sensitive one. Dollar spot severity was highest on Penncross alone, with no statistical differences observed among the resistant cultivar monostands. Mean disease severity of the blended cultivar ratios was divided into three statistically different groups—low resistance (10% and 25%), medium resistance (50% and 75%), and high resistance (90% and 100%). Compared to Penncross, blending a 10% resistant cultivar reduced AUDPC (area under the disease progress curve) values by 2% and 3% in Experiments 1 and 2, respectively, while blending a 90% resistant cultivar yielded 20% and 32% reductions. These results indicate dollar spot severity decreases as the ratio of the resistant cultivar in a stand increases, and blending resistant cultivars into susceptible has the potential for reducing disease.

Low brain-derived neurotrophic factor and high vascular cell adhesion molecule-1 levels are associated with chronic kidney disease in patients with type 2 diabetes mellitus

BackgroundPatients with type 2 diabetes mellitus (DM) have a high prevalence of chronic kidney disease (CKD). Energy imbalance and inflammation may be involved in the pathogenesis of CKD. We examined the effects of brain-derived neurotrophic factor (BDNF) and vascular cell adhesion molecule-1 (VCAM-1) on CKD in patients with type 2 DM.MethodsPatients with type 2 DM were enrolled for this cross-sectional study. Fasting serum was prepared to measure the BDNF and VCAM-1 levels. An estimated glomerular filtration rate (eGFR) &amp;lt;60 mL/min/1.73 m2 was used as the criterion for identifying patients with CKD.ResultsOf the 548 enrolled participants, 156 had CKD. Patients with CKD exhibited significantly lower BDNF (median of 21.4 ng/mL, interquartile range [IQR]: 17.0–27.0 ng/mL vs. median of 25.9 ng/mL, IQR: 21.0–30.4 ng/mL, P &amp;lt;0.001) and higher VCAM-1 (median of 917 ng/mL, IQR: 761–1172 ng/mL vs. median of 669 ng/mL, IQR: 552–857 ng/mL, P &amp;lt;0.001) levels than those without CKD. Serum BDNF levels were inversely correlated with VCAM-1 levels (Spearman’s rank correlation coefficient = -0.210, P &amp;lt;0.001). The patients were divided into four subgroups based on median BDNF and VCAM-1 levels (24.88 ng/mL and 750 ng/mL, respectively). Notably, patients in the high VCAM-1 and low BDNF group had the highest prevalence (50%) of CKD. Multivariate logistic regression revealed a significantly higher odds ratio (OR) of CKD in the high VCAM-1 and low BDNF group (OR = 3.885, 95% CI: 1.766–8.547, P &amp;lt;0.001), followed by that in the high VCAM-1 and high BDNF group (OR = 3.099, 95% CI: 1.373–6.992, P =0.006) compared with that in the low VCAM-1 and high BDNF group. However, the risk of CKD in the low VCAM-1 and low BDNF group was not significantly different from that in the low VCAM-1 and high BDNF group (P =0.266).ConclusionCKD in patients with type 2 DM is associated with low serum BDNF and high VCAM-1 levels. BDNF and VCAM-1 have a synergistic effect on CKD. Thus, BDNF and VCAM-1 can be potential biomarkers for CKD risk stratification in patients with type 2 DM.

Cardiovascular disease management and healthcare delivery for people experiencing homelessness: a scoping review

BackgroundPeople experiencing homelessness have increased prevalence, morbidity, and mortality of cardiovascular disease (CVD), attributable to several traditional and non-traditional risk factors. While this burden is well-known, mainstream CVD management plans and healthcare delivery have not been developed with people experiencing homelessness in mind nor tailored to their unique context. The overall objective of this work was to explore and synthesize what is known about CVD management experiences, programs, interventions, and/or recommendations specifically for people experiencing homelessness.MethodsWe conducted a scoping review to combine qualitative and quantitative studies in a single review using the Arksey and O’Malley framework and lived experience participation. We performed a comprehensive search of OVID Medline, Embase, PsychINFO, CINAHL, Web of Science, Social Sciences Index, Cochrane, and the grey literature with key search terms for homelessness, cardiovascular disease, and programs. All dates, geographic locations, and study designs were included. Articles were analyzed using conventional content analysis.ResultsWe included 37 articles in this review. Most of the work was done in the USA. We synthesized articles’ findings into 1) barriers/challenges faced by people experiencing homelessness and their providers with CVD management and care delivery (competing priorities, lifestyle challenges, medication adherence, access to care, and discrimination), 2) seven international programs/interventions that have been developed for people experiencing homelessness and CVD management with learnings, and 3) practical recommendations and possible solutions at the patient encounter level (relationships, appointment priorities, lifestyle, medication), clinic organization level (scheduling, location, equipment, and multi-disciplinary partnership), and systems level (root cause of homelessness, and cultural safety).ConclusionsThere is no ‘one-size-fits all’ approach to CVD management for people experiencing homelessness, and it is met with complexity, diversity, and intersectionality based on various contexts. It is clear, however, we need to move to more practically-implemented, community-driven solutions with lived experience and community partnership at the core. Future work includes tackling the root cause of homelessness with affordable housing, exploring ways to bring cardiac specialist care to the community, and investigating the role of digital technology as an avenue for CVD management in the homeless community. We hope this review is valuable in providing knowledge gaps and future direction for health care providers, health services research teams, and community organizations.

Impairment of health-related quality of life among people with type 2 diabetes and advanced liver fibrosis

People with type 2 diabetes mellitus (T2DM) show a high prevalence of steatotic liver disease (SLD), and especially metabolic dysfunction-associated steatotic liver disease (MASLD), with liver fibrosis. Their health-related quality of life (HRQL) is affected by multiple in part overlapping factors and aggravated by metabolic and liver-related comorbidities, including liver fibrosis stage. The aim of this study was to investigate the effect size of advanced fibrosis (AF) on the HRQL in people with T2DM. A total of 149 individuals with T2DM treated at a primary care provider within the German disease management program (DMP) were included in the final analysis. Vibration-controlled transient elastography (VCTE) was used to non-invasively detect steatosis and AF. The EQ-5D-3L questionnaire was used to assess the HRQL. Uni- and multivariable linear regression models were used to identify independent predictors of impaired HRQL. The majority was male (63.1%), and the median age was 67 years (IQR 59; 71). In the entire cohort, the prevalence of MASLD and AF was 70.7% and 19.5%, respectively. People with T2DM and AF had an overall lower HRQL in comparison to those without AF (p < 0.001). Obesity (β: − 0.247; 95% CI − 0.419, − 0.077) and AF (β: − 0.222; 95% CI − 0.383, − 0.051) remained independent predictors of a poor HRQL. In turn, T2DM-related comorbidities were not predictive of an impaired HRQL. Obesity and AF negatively affect the HRQL in patients with SLD and T2DM in primary care. Awareness of liver health and specific interventions may improve patient-reported and liver-related outcomes in people with T2DM.

First manifestation of cardiovascular disease according to age and sex in a Mediterranean country

BackgroundCardiovascular (CV) diseases are the most common cause of death worldwide. This study aimed to investigate the incidence and type of first CV event in a broad cohort of Spaniards, focusing on age and sex differences.MethodsThis was a retrospective study using the SIDIAP database. Subjects aged 30–89 years in 2010 were included. Individuals with prevalent CV disease or atrial fibrillation were excluded. Subjects were followed until the occurrence of a CV event, death, or the study end (December 2016). CV outcomes (coronary heart disease [CHD], cerebrovascular or peripheral artery disease and heart failure [HF]) during follow-up were analyzed. Clinical, anthropometrical, and laboratory data were retrieved from clinical records.ResultsOverall, 3,769,563 at-risk individuals (51.2 ± 15.2 years) were followed for a median of 7 years. The cumulative incidence of a first CV event was 6.66% (men vs. women, 7.48% vs. 5.90%), with the highest incidence (25.97%) among individuals &amp;gt;75 years. HF (29%) and CHD (28.8%) were the most common first events overall; in men it was CHD (33.6%), while in women it was HF and cerebrovascular disease (37.4% and 27.4%). In younger age groups, CHD was more prevalent, with HF in older age groups. Baseline CV risks factors conferred more risk in younger ages and differed between men and women.ConclusionsThe incidence and type of the first CV event in this Mediterranean region were significantly influenced by age and sex. This information is relevant for tailoring primary prevention strategies including the treatment of risk factors.

Renal Disease and Kidney Transplantation in Hispanic American Persons.

The Hispanic population of the US is the second largest racial or ethnic group comprising 18.7% of the population. However, this population is incredibly heterogeneous differing in genetic traits, cultural upbringing, educational backgrounds, and financial status. The impact of this heterogeneity on the prevalence and outcomes of renal disease and kidney transplantation is understudied compared to non-Hispanic whites and African Americans. What is known appears to be underrecognized. This review aims to critically assess current medical literature on Hispanic individuals, focusing on etiological factors, disease progression, and outcomes related to chronic kidney disease (CKD) and kidney transplantation. By doing so, we aim to underscore key areas for further in-depth investigation.

A Longitudinal Investigation of the Prevalence and Incidence of Self-Reported COVID-19 Disease and the Pandemic's Impact Among Seventh-day Adventist and Non-Adventists Living in the UK.

This research investigated the prevalence and incidence of COVID-19 infection among Seventh-day Adventist Christians in the UK compared to non-Adventists and assessed the pandemic's impact on their health and dietary intake. Seventh-day Adventists and non-Adventists in the UK completed an online survey, including a Food Frequency Questionnaire, a 24-h dietary recall, and health and lifestyle questions. Participants were followed for 2years to determine COVID-19 incidence rates. The baseline survey was completed by 170 people, 86 of whom were Adventists. The follow-up at 2years showed a significantly lower self-reported COVID-19 incidence among Adventists (OR 0.45, 95% CI 0.2, 1.0, p = 0.05). The incidence rate among Adventists was 65.48 per 1000 person-years versus 121.79 per 1000 person-years among non-Adventists. Adventists were less likely to experience long COVID (OR 0.30, 95% CI 0.12, 0.78, p = 0.01). Despite being older, Adventists had a significantly lower COVID-19 incidence rate. The Adventist lifestyle, including healthy eating habits, fasting, a plant-based diet, and abstaining from alcohol and coffee, was prevalent in this sample. More research is needed to explore the association between the Adventist lifestyle and infectious disease.

Moving beyond biology: the critical role of social and structural determinants in atopic dermatitis.

Atopic dermatitis (AD) is a prevalent chronic inflammatory skin disease with a substantial global burden and negative impact on quality of life. While genetics and pathophysiology are key to understanding AD, emerging evidence indicates that social and structural determinants of health (SDOH and StDOH) strongly influence the condition's onset, severity, and outcomes. SDOH, such as economic stability, education quality and access, healthcare quality and access, neighborhood environment, and social/community context, shape individual risk and disease experience. StDOH, including government processes, economic policies, social/public policies, and cultural/societal values, further act as upstream forces that directly and indirectly influence AD outcomes. In this review, we synthesize current knowledge on the impacts of SDOH and StDOH on AD incidence, severity, and disparities. Embracing a biopsychosocial model is crucial to elucidate the etiology, epidemiology, and optimal management of AD. Future research should adopt a holistic approach, moving beyond a purely biological perspective to consider the intricate interplay of social and structural determinants in understanding and managing AD.

Noninvasive tools for the assessment of fibrosis in metabolic dysfunction-associated steatotic liver disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously nonalcoholic fatty liver disease (NAFLD), is the number one chronic liver disorder worldwide. Progression to advanced fibrosis marks the emergence of a significant risk of liver-related negative outcomes. However, only a minority of patients will present at this stage. Since widespread liver biopsy in unfeasible at such high disease prevalence, there was a need to develop noninvasive tests (NITs) that could easily and reliably be applied to patients with MASLD, regardless of clinical setting. The NITs include simple scores, like the fibrosis-4 (FIB-4) Index, patented serum tests, like the Enhanced Liver Fibrosis test (ELF™), and imaging-based modalities, like the vibration-controlled transient elastography (VCTE). Guidelines suggests a stepwise approach that utilizes more than one NIT, with FIB-4 <1.30 being used as a first step to rule out patients that do not need further testing. Subsequent choice of NIT will be influenced by setting, cost, and local availability. While these NITs are accurate, they are not perfect. As such, research is ongoing. A promising avenue is that of omics, a group of technologies that provide concomitant results on a large number of molecules (and other variables). With the advance of artificial intelligence, new NITs may arise from large demographic, biochemical, and radiological data sets.