Individual Risk Factors Research Articles

Characteristics of pulse wave velocity and its correlation with cardiovascular disease risk factors in healthy individuals.

Cardiovascular disease (CVD) is a major cause of human mortality and has become the leading cause of death worldwide. Existing studies indicate that structural and functional damage to the main arteries represents a significant risk factor for early vascular lesions and many CVDs. This study aimed to explore characteristics of carotid-femoral pulse wave velocity (cfPWV) and its correlation with cardiovascular disease risk factors in healthy individuals. Convenience sampling was used to collect demographics, risk factors, and laboratory examinations from 501 healthy individuals who underwent health checkups at our healthcare center from August 2020 to January 2021. Pearson correlation coefficients were used to examine the correlations between cfPWV and various parameters in both sexes. Multiple linear regression analysis was used to investigate the factors potentially influencing cfPWV. A statistically significant difference in cfPWV between sexes was observed only in the age group of subjects 38-47 years old. The results of the univariate analysis showed that in males, cfPWV was positively correlated with age, blood pressure, heart rate, and alcohol consumption and was negatively correlated with tehe resistive index. In females, cfPWV was positively correlated with age, blood pressure, heart rate, alanine aminotransferase, urea, creatine, uric acid, fasting blood glucose, triglycerides, total cholesterol, and heart rate. The results of multivariable analysis indicated that age, systolic blood pressure, heart rate, and alcohol consumption were influencing factors for cfPWV in males, while age, systolic blood pressure, heart rate, and creatinine were influencing factors for cfPWV in females (P <0.05 for all). In healthy individuals, the distribution patterns of cfPWV values vary by sex and age. In the elderly population, especially elderly women, enhanced monitoring and regular follow-ups are recommended to prevent the development and progression of CVDs in high-risk individuals at an early stage.

Preadolescent individual, familial, and social risk factors associated with longitudinal patterns of adolescent alcohol, cannabis, and other illicit drug use in a population-representative cohort.

The aim of this exploratory study was to identify developmental patterns of adolescent concurrent alcohol, cannabis, and other illicit drug use and their preadolescent individual, familial, and social risk factors in a population-representative cohort from the province of Quebec, Canada (N = 1,593; 48.4% male). Age 12-17 years self-reports of alcohol, cannabis, and other illicit drug use were collected. Latent growth modeling was used to analyze developmental patterns of single- or polysubstance use (SU/PSU), and multinomial regression examined their association with risk factors assessed at age 10-12 years. Five developmental patterns were revealed, including nonusers (12.8% sample) and four classes reflecting different levels of SU/PSU (5.8%-37.5%), varying in severity based on onset, frequency, and type of substances used. Boys and girls were similarly represented throughout SU/PSU patterns. In comparisons with nonusers, several preadolescent risk factors were associated with increasing severity of SU/PSU. Possibly indexing fearlessness/disinhibition, low internalizing symptoms were common to all adolescent users. An earlier onset of substance use and increasing use of substances throughout adolescence were linked with having deviant peers for all user classes but later-onset users. Preadolescents manifesting externalizing problems and exposed to family adversity in addition to the above risk factors showed the earliest onset and most frequent adolescent SU/PSU, especially those also exposed to less appropriate parenting. Consistent with the developmental model of substance use, the nature, number, and severity of preadolescent risk factors distinguished between the type and severity of SU/PSU patterns in adolescence and call for a consistent strategy of universal, selective, and indicated preventive interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Analysis of 2019 Ohio Disease Intervention Specialist (DIS) Records for Syphilis Cases Using Clustering Algorithms.

Developments in natural language processing (NLP) and unsupervised machine learning methodologies (e.g., clustering) have given researchers new tools to analyze both structured and unstructured health data. We applied these methods to 2019 Ohio disease intervention specialist (DIS) syphilis records, to determine whether these methods can uncover novel patterns of co-occurrence of individual characteristics, risk factors, and clinical characteristics of syphilis that are not yet reported in the literature. The 2019 DIS syphilis records (n=1,996) contain both structured data (categorical and numerical variables) and unstructured notes. In the structured data, we examined case demographics, syphilis risk factors, and clinical characteristics of syphilis. For the unstructured text, we applied TF-IDF (term frequency multiplied by inverse document frequency) weights, a common way to convert text into numerical representations. We performed agglomerative clustering with cosine similarity using the CLUTO software. The cluster analysis yielded six clusters of syphilis cases based on patterns in the structured and unstructured data. The average internal similarities were much higher than the average external similarities, indicating that the clusters were well-formed. The factors underlying three of the clusters related to patterns of missing data. The factors underlying the other three clusters were sexual behaviors and partnerships. Notably, one of the three consisted of individuals who reported oral sex with male or anonymous partners while intoxicated, and one was comprised mainly of males who have sex with females. Our analysis resulted in clusters that were well-formed mathematically, but did not reveal novel epidemiological information about syphilis risk factors or transmission that were not already known.

Metabolic Risk Factors and Survival in Patients with Glioblastoma.

Metabolic syndrome increases the risk of developing various systemic cancers. The prevalence of metabolic syndrome in newly diagnosed glioblastoma patients is unknown. Further, there have been contradictory reports about how metabolic syndrome affects clinical outcomes. Therefore, the purpose of this study is to test the hypothesis that metabolic syndrome is associated with an increased prevalence of glioblastoma and worsened survival outcomes. This retrospective cohort study examines seventy-three patients with isocitrate dehydrogenase (IDH)-wild-type glioblastoma as it provides a relatively homogeneous population to examine. Patient characteristics, vital signs, lab results, tumor molecular markers, and overall survival were analyzed. Patients with metabolic syndrome and individual risk factors were identified, and survival outcomes were examined. Our results demonstrate that there is a higher prevalence of metabolic syndrome in our cohort of patients with glioblastoma than in the general population (41% vs. 33%), though this effect is confounded by older age. We also demonstrate that after correction for confounding variables, metabolic syndrome is not significantly associated with overall survival (p = 0.1). When analyzing individual metabolic risk factors, we demonstrate that there is a significant association between the accumulation of metabolic risk factors and decreased survival (p = 0.03), and hyperglycemia emerges as a significant independent risk factor for decreased survival (p = 0.05). These results suggest that metabolic risk factors can affect survival in patients with glioblastoma, which can have significant implications for clinical practice. These findings need to be further explored through further clinical and mechanistic studies.

Differences in metabolic syndrome severity and prevalence across nine waist circumference measurements collected from smartphone digital anthropometrics

Background & AimsGiven the technological advances in 3D smartphone (SP) anthropometry, this technique presents a unique opportunity to improve metabolic syndrome (MetS) screening through optimal waist circumference (WC) landmarking procedures. Thus, the purpose of this study was to evaluate the associations between individual MetS risk factors and nine independent WC sites collected using tape measurement or SP anthropometrics and to determine the differences in MetS severity and prevalence when using these different WC measurement locations. MethodsA total of 130 participants (F:74, M:56; age: 27.8±11.1) completed this cross-sectional evaluation. Using traditional tape measurement, WC was measured at the lowest rib (WCRib), iliac crest (WCIliac), and between the WCRib and WCIliac (WCMid). Additionally, WC measurements were automated using a SP application at six sites along the torso. MetS risk factors were used to calculate MetS severity (MetSindex) and prevalence. Associations were evaluated using multiple linear regression, the effect of each WC site on MetSindex was analyzed using mixed-models ANCOVA, and differences in MetS prevalence using WCIliac as the current standard were determined using sensitivity, specificity, and Chi-squared and odds ratios. ResultsThe reference SP-WC (SPRef) and WCRib demonstrated the largest associations (all p < 0.001) with HDL cholesterol (SPRef: -0.48; WCRib: -0.49), systolic (SPRef: 0.32; WCRib: 0.30) and diastolic blood pressure (SPRef: 0.34; WCRib: 0.32), and fasting blood glucose (SPRef: 0.38; WCRib: 0.37). SPRef and WCRib were the only WC without significantly different MetSindex; yet demonstrated lower MetSindex and sensitivity (SPRef: 77.8%; WCRib: 74.1%) relative to WCIliac, the conventional (or standard) WC measure. ConclusionsCompared to the current standard, SPRef and WCRib protocols are more highly associated with individual MetS risk factors and produce different MetSindex and diagnoses; highlighting the need for new MetS WC protocols. Given the surge in remote/mobile healthcare, SPRef may be an alternative to traditional methods in this context but requires further investigation before implementation.

Comprehensive strategies for preoperative pulmonary risk evaluation and management.

Postoperative pulmonary complications (PPCs) significantly increase morbidity and mortality in surgical patients, particularly those with pulmonary conditions. The incidence of PPCs varies widely, influenced by surgery type, patient age, smoking status, and comorbidities like chronic obstructive pulmonary disease (COPD) and congestive heart failure. Preoperative pulmonary function tests and chest radiographs, while critical for lung resection surgery, should be selectively used based on individual risk factors. Effective risk stratification models, including ASA classification, Arozullah Respiratory Failure Index, Gupta Calculators, and ARISCAT model, aid in predicting PPCs. Key strategies to reduce PPCs involve preoperative optimization of pulmonary conditions, smoking cessation, and respiratory rehabilitation. In COPD and asthma patients, maintaining optimal disease control through inhaled therapies, systemic corticosteroids, and preoperative respiratory exercises is crucial. Anemia and hypoalbuminemia are notable predictors of PPCs, warranting careful management. The type and duration of anesthesia significantly impact PPC risk, with regional anesthesia preferred over general anesthesia when feasible. Comprehensive preoperative evaluation and tailored interventions are essential to improve surgical outcomes and reduce PPC incidence. Further study involving domestic patients is needed to refine national guidelines for managing patients at risk of PPCs.

Individual and molecular risk factors for the development of rheumatoid arthritis

Rheumatoid arthritis is a chronic autoimmune disease of the joints of unknown etiopathogenesis. It affects between ~0.5 and 1% of the total population and occurs 2–3 times more often in women than in men. Several antibodies have been identified in the serum of patients with RA, including rheumatoid factors (RF), anti-citrullinated protein antibodies (ACPA) and anti-carbamylated protein antibodies. These autoantibodies can form immune complexes in the joints, leading to inflammation and damage to the articular cartilage. A characteristic symptom of advanced RA is persistent inflammation of the synovium, which usually affects peripheral joints in a symmetrical way. The exact aetiology of RA is unclear,it is known to be a multifactor disease in which a complex interplay between the host and the environment determines the overall risk of being susceptible to the disease, as well as its persistence and severity. Below we present the RA risk factors including main individual risk factors as hormonal factors, hereditery factors, epigenetic factors as well as the risk of concomitant environmental factors of RA as diet, cigarettes and alcohol abuse. Environmental contaminants, socio-economic factors and molecular mechanisms of RA known so far.

Association of Risk Factors of Acute Myocardial Infarction and Heart Blockage Among non-diabetic Patients in a Tertiary Care Hospital – An Observational Study

Introduction: Cardiovascular diseases (CVDs) are a leading cause of death in the world. In 2015, an estimated 442.7 million prevalent cases of CVD were present worldwide. Cardiovascular diseases account for more than 17 million deaths globally each year. Previous studies identified diabetes mellitus, hypertension, hypercholesterolemia, smoking, alcohol consumption, obesity and sedentary lifestyle as risk factors. Aim of the study: The aim of this study was to determine the risk factors for acute myocardial infarction associated with heart blockage among non-diabetic patients. Methods: This was an observational study conducted in the Department of Cardiology of Jashore Medical College Sadar Hospital, Jashore, Bangladesh during the period from April, 2021 to March, 2022. In this study, we included 120 non-diabetic patients who were diagnosed with myocardial infarction. Result: Mean age was 53.03±11.3 years &amp; most of our patients were male. Among all patients, majority (65%) patients had &gt;60% blockage, followed by 30(25%) patients had 40%-60% artery blockage, and &lt;40% blockage was found in 10% patients. Hypertension, dyslipidemia &amp; dyslipidemia with hypertension, age ≥60 years, family history of CHD, smoking, diabetes &amp; obesity were individual risk factors of CHD among non-diabetic patients. The most common risk factors for heart blockage were age &gt;45 years, high blood pressure, high LDL, unhealthy diet, and stressful life. Conclusion: In our study, we found hypertension, history of CHD, dyslipidemia, dyslipidemia with hypertension, stress, age ≥60 years, and obesity were individual risk factors for CHD. These elements work as crucial risk factors for myocardial infarction in non-diabetic patients. Risk factors like age &gt;45 years, high blood pressure, high LDL, unhealthy diet, and stressful life were responsible for the highest heart blockage in myocardial infarction patients. J Inv Clin Cardiol 2023; 5(2): 38-44

Trajectories of physical activity among participants of six-month mobile app-based disease management program for cardiovascular risk: a group-based trajectory modelling approach

Abstract Background Mobile app-based health promotion is an emerging preventive intervention for cardiovascular disease that allows for the frequent and longitudinal monitoring of physical activity (PA). Previous studies exploring PA trajectories categorized participants in a limited number of follow-up assessments and did not consider dynamic nature with changes that occur over the intervention period. Purpose This study explored the trajectories of PA during mobile app-based disease management programs in adults with cardiovascular risk using group-based trajectory modelling (GBTM). Methods Participants who completed a six-month disease management program using a mobile app were enrolled. The program promoted behavioural changes for the management of cardiovascular risk factors in individuals with one or more of hypertension, diabetes, or dyslipidaemia. Daily step count was measured using a wrist-worn activity tracker (Fitbit devices). Each participant was encouraged to wear a tracker for the monitoring of exercise and physical activity. To analyse relatively physically inactive participants, we included those with baseline step count &amp;lt;8,000 steps/day. GBTM was conducted to identify distinct patterns of longitudinal step count changes of baseline, 3-22 weeks, and 24 weeks. Participants with PA measurements &amp;lt;4 time points were excluded. The baseline characteristics and indicators related to mobile app usage during the first two weeks were compared among the trajectory groups. Results A total of 1,760 participants were included in the analysis (age: median 55 years; 83.8% men; body mass index (BMI): median 27.0 kg/m²; baseline step count: median 6,118 steps/day). GBTM identified four step count trajectory groups: rapid increase (T1, rapid increase in the first three months; 5%), gradual increase (T2, gradual increase in the first three months; 24%), moderate activity (T3, maintained at around 7,000 steps/day; 45%), and physically inactive (T4, around 4,500 steps/day throughout the program; 26%) (Figure 1). The trajectory groups that showed increasing PA patterns were older (T1: median 57 years; T2: 55 years; T3: 55 years; T4: 54 years; p=0.040) with a lower baseline BMI (T1: median 26.6 kg/m²; T2: 26.4 kg/m²; T3: 27.0 kg/m²; T4: 27.7 kg/m²; p&amp;lt;0.001) and were predominantly men (T1: 89.5%; T2: 87.4%; T3: 82.8%; T4: 81.1%; p=0.028). PA increasing patterns were associated with a longer time of mobile app use (T1: median 8.5 min/day; T2: 5.5 min/day; T3: 5.5 min/day; T4: 4.9 min/day; p=0.012) and more login times (T1: median of daily average 3.9/day; T2: 3.0/day; T3: 3.1/day; T4: 2.9/day; p=0.003) during the first two weeks of the program. Conclusions GBTM showed that 30% of participants in the mobile app-based intervention showed significant PA improvement during the first 12 weeks. Results of this study suggest that the response to PA intervention may be associated with lifestyle prior to the program and willingness to use the mobile app.Figure 1.Step count trajectories

Complex versus non-complex, should we adjust the antiplatelet strategy to the type of percutaneous coronary intervention? Results from a real world PCI population

Abstract Background/introduction Personalized dual antiplatelet treatment (DAPT) using risk stratification is key to minimize bleeding- and ischemic events after percutaneous coronary intervention (PCI). Known ischemic risk factors include complex procedures which are integrated in the recommendation for extended DAPT in patients with additional ischemic risk factors. Purpose We aimed to provide insight whether a complex PCI (CPCI) should be regarded as an individual risk factor, regardless of other risk factors, to adjust the antiplatelet strategy. Also, we determined the effect of DAPT duration and choice of P2Y12 inhibitor on outcomes. Methods We included patients from the South East (Zuid Oost) Netherlands Heart Registry (ZON-HR) and excluded patients using oral anticoagulants. This PCI registry prospectively collects baseline-, procedural- and follow-up data including medication use and the intended DAPT duration. Patients were stratified to non-CPCI or CPCI comprising of bifurcation lesions with two stents, venagraft PCI, chronic total occlusion (CTO) or ≥ 60mm stent. Analyses were conducted using Cox regression analysis. Multivariate analysis was performed to adjust for risk factors and baseline differences. Results We included 3691 patients (842 CPCI). Table 1 demonstrates the baseline characteristics and DAPT strategy. CPCI was more often required in patients with a high ischemic risk profile based on the extensiveness of atherosclerosis and comorbidities. Non-CPCI patients more often underwent PCI for acute coronary syndrome. Outcomes are presented in table 2. Compared to non-CPCI, CPCI increased the risk of major adverse cardiac and cerebral events (MACCE) in the second half of the year as opposed to bleeding events, which more often occurred in the first months after CPCI, driven by access site bleedings (73% in CPCI versus 56% in non-CPCI, p=0.01). All-cause mortality was higher during the overall follow-up period after a CPCI compared to non-CPCI. These findings remain significant when corrected for additional risk factors in both groups. In patients with CPCI, treatment with ticagrelor or prasugrel strongly reduced MACCE between 6-12 months when compared to clopidogrel (multivariate HR: 0.28, 95% CI: 0.08-0.98), but did not influence bleeding events or all-cause mortality. No effect of extended DAPT was observed. Conclusions A CPCI is an important ischemic risk factor that could be used for risk stratification to guide antiplatelet strategy. Treatment with ticagrelor or prasugrel strongly diminished the risk of MACCE without increasing the bleeding risk in patients with a CPCI. As the risk of MACCE increases between 6-12 months after PCI while the risk of bleeding events diminishes in this period, extended DAPT from 6 to 12 months could also be considered to provide extended protection.Table 1.Table 2

Musculoskeletal disorders and risk factors in the modern era: results from the Specchio cohort

Abstract Background Musculoskeletal disorders (MSDs) represent a major challenge for occupational and public health, but data are scarce in Switzerland or concentrated on a few sectors of activities. The aim of this study is to provide results on the prevalence and risk and protective factors of MSDs in the general working-age population of the Geneva canton, Switzerland. Methods A cross-sectional analysis was conducted as part of Specchio population-based cohort study. Prevalence and associations between MSDs and sociodemographic variables, individual behaviour (smoking, physical activity, sleep), health conditions (BMI, chronic diseases), physical and psychological risks at work were examined using regression models. The impact of teleworking was also evaluated. Results 2’733 participants took part in the survey, of which 38% were men, and mean age was 50. Overall prevalence of MSDs was 74% among men and 84% among women. 80% of the individuals experience back pain and 56% shoulder pain. Among individuals who experienced MSDs, 55.2% consulted a healthcare professional. The risk factors for MSDs were female sex (OR = 1.95; 95% IC = 1.55-2.28), body mass index (obese) (2.2; 1.51-3.32), lower education (1.77; 0.84-4.37), smoking (1.65; 1.19-2.35), exposure to physical risks (3.54; 2.78-4.51), stress at work (effort-reward imbalance) (3.23; 2.45-4.29) and a poor work-life balance (2.36; 1.88-2.97). The prevalence of MSDs remained high among workers who telework (78% versus 84% in working population). Conclusions This study, carried out in a large population-based cohort, confirmed several risk factors for MSDs. These results will contribute to the implementation of prevention strategies, especially as teleworking has gained in importance in recent years, which may have aggravated workers’ isolation and stress, sedentariness, and poor body posture. Main message: These data confirm the weight of musculoskeletal disorders and will help implementation of prevention health strategies. Key messages • The relationship between psychosocial risks at work and the occurrence of Musculoskeletal Disorders (MSDs) persists even following adjustment for exposure to physical risks and individual risk factors. • The prevalence of musculoskeletal (MSDs) disorders remained high among workers who telework.

Supplemental Material for Preadolescent Individual, Familial, and Social Risk Factors Associated With Longitudinal Patterns of Adolescent Alcohol, Cannabis, and Other Illicit Drug Use in a Population-Representative Cohort

Supplemental Material for Preadolescent Individual, Familial, and Social Risk Factors Associated With Longitudinal Patterns of Adolescent Alcohol, Cannabis, and Other Illicit Drug Use in a Population-Representative Cohort

Effectiveness of contemporary risk stratification in patients with hypertrophic cardiomyopathy: a pilot study

Abstract Introduction Risk stratification and primary prevention of sudden cardiac death (SCD) in patients with hypertrophic cardiomyopathy (HCM) is a challenging discipline. When using current stratification systems, there is always a compromise between sensitivity and specificity. Objective In our pilot study, we sought to determine the incidence of SCD and the effectiveness of stratification systems, i.e., the ESC HCM Risk-SCD score and the system of individual major risk factors (RF) according to ACC/AHA in patients followed in an expert center. Methods Patients with HCM were risk-stratified and followed for 10 ± 8 years at the referral HCM center. Results Five hundred and five patients were stratified, and 71 (14%) were implanted with a cardioverter-defibrillator (ICD) based on risk stratification. ICD patients were stratified at age 39 ± 17 years, of which 26 (35%) were women, maximal left ventricular wall thickness (MLWT) was 23 ± 7 mm, and left atrial dimension (LA) 46 ± 7 mm. During follow-up, 12 (17%) patients had ≥ 1 appropriate ICD therapy at age 46 ± 19 years. Patients with ≥ 1 appropriate ICD therapy had an average 5-year ESC score of 1.8 ± 0.4% and an average ACC/AHA major RF of 1.4 ± 0.8, MLWT 25 ± 6 mm, LA 47 ± 7 mm. None of the ICD patients died of SCD. Five (7%) patients suffered from ICD complications, including 4 (6%) inappropriate shock, and one patient experienced infective endocarditis requiring system extraction. During follow-up, 118 (23%) patients died, of which 28 (6%) from HCM-related causes, 12 (2%) from stroke, 11 (2%) from advanced heart failure, one perioperatively (myectomy) and 4 (1%) patients died suddenly (SCD). The mean age of SCD patients at the time of stratification was 59 ± 14 years; all were male, MLWT 18 ± 5 mm, LA 49 ± 2 mm, mean ESC score 2.0 ± 0.9%, and three (75%) had no RF present according to ACC/AHA. The ESC HCM Risk-SCD score was markedly less sensitive (sensitivity 56%; 95% CI 21-86) but more specific (specificity 98%; 95% CI 96-99) than the ACC/AHA approach (sensitivity 77%; 95% CI 46-95; and specificity 71%; 95% CI 67-75) (Figure). Conclusion With current risk stratification, albeit imperfect, SCD is rare in HCM patients managed at an expert center.

Individual level risk factors associated with episodes of heat as recorded within primary care records: a time-stratified case-cross over study

Abstract Background A key recommended action outlined in Heat-Health Action Plans is to identify individuals at risk and deploy targeted interventions, however this is not routinely undertaken. A major contributing factor is a lack of understanding of individual-level risk factors to support an evidence-based approach to targeted prevention. Aim To use electronic health data to identify individual level characteristics associated with increased risk of mortality during heatwaves in England. Methods A time-stratified case-crossover analysis was undertaken of individual-level clinical and socio-environmental (SE) risk factors. Conditional logistic regression was used to characterise associations between temperature and the risk of death on hot days, with analysis stratified by potential risk modifying factors. Results Heat mortality risk was modified by a large range of chronic conditions, with cardio-respiratory, mental health and cognitive function conditions, diabetes and Parkinson’s, all increasing risk. Prescribed medications also increased odds of death during heatwaves. Heat mortality risk was modified by a range of SE determinants of health investigated, with ORs increasing with age; OR differences by sex, ethnicity and living arrangement; an increasing trend in ORs by alcohol intake and body mass index, excluding the obese-3 group. Results suggest the least deprived have the lowest OR and the most deprived have the highest. Conclusions This study has important implications for patient medication management during heat events, incorporating heat-risk considerations into other health policies. The results also provide important evidence on the role of disadvantage in driving the inequitable distribution of climate impacts, and the need for better socio-economic data sets linked to health records. The findings highlight the importance of incorporating an assessment of individual SE circumstances when prioritising patients at highest risk during heat events.

The Influence of GLP1 on Body Weight and Glycemic Management in Patients with Diabetes-A Scientometric Investigation and Visualization Study.

Diabetes medications can affect weight and cardiovascular health. Some medications can aid in weight management, while others may lead to weight gain. Patients must be monitored and receive appropriate care to manage weight and prevent cardiovascular complications. Despite advancements in diabetes treatments that can influence weight and cardiovascular outcomes, ongoing research is necessary in this intricate field. Long-term effects, individual variations, and combination therapies are still subjects of uncertainty and ongoing investigation. The major objective of the research is to evaluate the impact of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) on body weight in diabetic patients through a scientometric assessment. Methodology: Research data were gathered from the Web of Science Core Collection (WoSCC) database by searching for the keywords "Body Weight", dulaglutide, and semaglutide, identifying 60 relevant articles in the field. While there are advantages in managing diseases in which the cardiovascular system is implicated, there are also clinical considerations for personalized medicine and shared decision-making. The scientometric analysis of the articles revealed important insights into how dulaglutide and semaglutide impact weight management and their potential benefits for managing cardiovascular diseases in individuals with diabetes. Conclusions: Semaglutide shows superior outcomes compared to other commercially available GLP-1RAs, particularly in improving blood sugar control, lowering body weight, and addressing other cardio-metabolic risk factors in individuals with type 2 diabetes (T2DM). The findings suggest that GLP-1 RAs have the potential to provide cardiovascular protection by influencing various physiological factors such as blood pressure, pulse rate, glycated hemoglobin (HbA1c) levels, and the urinary albumin-to-creatinine ratio (RAC). The development and validation of the 4GI model provides a sophisticated tool for evaluating the complex interactions involved in diabetes treatments, offering insights into the mechanisms of action of various medications.

Prevalence of Ocular Injuries Following Road Traffic Accidents Among Two-Wheeler Riders/Pillions and the Factors Influencing Them Reported in a Tertiary Care Center in Chengalpattu in Tamil Nadu, India.

Introduction Road traffic accident-related ocular damage is a serious public health issue that can result in unilateral blindness. Several individual risk factors lead to ocular injury and various levels of visual impairment. Objectives The objective is to assess the demography and pattern of ocular, orbital, and eyelid injuries among motorcycle accident cases attending a medical college and hospital in Chengalpattu district Tamil Nadu India. Methodology A cross-sectional study was conducted among 67 victims of road traffic accidents who had sustained ocular injuries from October 2023 to June 2024. The selected participants were subjected to a questionnaire regarding thedetails of the history of events leading to the road traffic accident, and complete ophthalmic examination and radiological investigationswere carried out. Informed consent was obtained from all the participants, andin cases where the participant was unable to give consent, informed consent was obtained from their family members. The collected data were analyzed using SPSS version 21 (IBM Corp., Armonk, NY). Result The majority (76.1%) were male between the agegroup of31-40 years, and they were allmotor vehicle/cycle riders seated in the front. Most accidents happened in rural (68.7%), highways (52.2%), and the driver being under the influence of alcohol (64.2%). Most of the participants (80.6%) did not use helmets, and 19.4%were using mobile phoneswhile driving. Visual acuity wasaffected in 57% and 41.8%suffered from orbital floorfracture. About 92.5% of the participants sustained subconjunctival hemorrhagewith ecchymosis and 31.34% had lacerations of the upper eyelid with periorbital edema. Among the participants, 9% had a loss of vision due to vitreous hemorrhage and9%due to Berlin's edema. Conclusion Middle-aged males driving two-wheelers on rural highways, those who did not wear helmets, and thosewho wereunder theinfluence of alcohol werethe vulnerable group. It is advised thatboth front and back-seated persons use safety precautions, such as helmets, and avoid placing the child in front of the rider while driving. Stringentregulations designed to improve conformity to traffic rules are essential in preventing ocular injuries.

Predictive factors for lymph node metastasis in papillary thyroid cancer patients undergoing neck dissection: insights from a large cohort study.

This study aimed to investigate the risk factors and metastatic patterns in papillary thyroid cancer (PTC) patients undergoing lymph node dissection, offering guidance for clinical practice. A total of 924 PTC patients who underwent thyroidectomy with central neck dissection (CND) or lateral neck dissection (LND) between January 2021 and November 2022 were included in the analysis. The study investigated the relationships between clinicopathological characteristics, lymph node metastasis, and various risk factor. Among the 924 PTC patients, the cervical lymph node metastasis rate was 59.1% (546 patients). Of these patients, 381 had central neck metastasis (CNM, 41.2%), while the remaining 165 patients had lateral neck metastasis (LNM, 17.9%). Factors associated with increased risk of CNM and LNM included larger tumor diameter, presence of multiple tumors, and capsular invasion (p<0.05). Male sex, age <55 years, larger tumor diameter (>0.85 cm), multiple tumors, capsular invasion, and absence of Hashimoto's disease were identified as independent risk factors for CNM (p<0.05), with an AUC value of 0.722. CNM, maximum diameter >1.15 cm, and multiple tumors were independent risk factors for LNM (p<0.05), with an AUC of 0.699. These findings suggest that tailored neck dissection based on individual risk factors is crucial, particularly in cases of suspected LNM with larger tumors, CNM, multiple tumors, and capsular invasion.

Syndemic geographic patterns of cancer risk in a health-deprived area of England

ObjectivesThis study aims to analyse the geographical co-occurrence of cancers and their individual and shared risk factors in a highly deprived area of the North West of England to aid the identification of potential interventions. Study designAn ecological study design was employed and applied at postcode sector level in the Morecambe Bay region. MethodsA novel spatial joint modelling framework designed to account for large frequencies of left-censored cancer data was employed. Nine cancer types (breast, colorectal, gynaecology, haematology, head and neck, lung, skin, upper gastrointestinal, urology) alongside demographic, behavioural factors and socio-economic variables were included in the model. Explanatory factors were selected by employing an accelerated failure model with lognormal distribution. Post-processing included principal components analysis and hierarchical clustering to delineate geographic areas with similar spatial risk patterns of different cancer types. Results15,506 cancers were diagnosed from 2017 to 2022, with the highest incidence in skin, breast and urology cancers. Factors such as age, ethnicity, frailty and comorbidities were associated with cancer risk for most of the cancer types. A positive geographical association was found mostly between the colorectal, haematology, upper GI, urology and head and neck cancer types. That is, these cancers had their largest risk in the same areas, similarly to their lowest risk values. The spatial distribution of the risk and cumulative risk of the cancer types revealed regional variations, with five clusters identified based on cancer type risk, demographic and socio-economic characteristics. Rural areas were the least affected by cancer and the urban area of Barrow-in-Furness was the area with the highest cancer risk, three times greater than the risk in the surrounding rural areas. ConclusionsThis study emphasizes the utility of joint disease mapping by geographically identifying common or shared factors that, if targeted, could lead to reduced risk of multiple cancers simultaneously. The findings suggest the need for tailored public health interventions, considering specific risk factors and socio-economic disparities. Policymakers can utilize the spatial patterns identified to allocate resources effectively and implement targeted cancer prevention programmes.

Genetic Risk Scores for the Clinical Rheumatologist.

The advent of genome-wide sequencing and large-scale genetic epidemiological studies has led to numerous opportunities for the application of genetics in clinical medicine. Leveraging this information toward the formation of clinically useful tools has been an ongoing research goal in this area. A genetic risk score (GRS) is a measure that attempts to estimate the cumulative contribution of established genetic risk factors toward an outcome of interest, taking into account the cumulative risk that each of these individual genetic risk factors conveys. The purpose of this perspective is to provide a systematic framework to evaluate a GRS for clinical application. Since the initial polygenic risk score methodology in 2007, there has been increasing GRS application across the medical literature. In rheumatology, this has included application to rheumatoid arthritis, gout, spondyloarthritis, lupus, and inflammatory arthritis. GRSs are particularly relevant to rheumatology, where common diseases have many complex genetic factors contributing to risk. Despite this, there is no widely accepted method for the critical application of a GRS, which can be a particular challenge for the clinical rheumatologist seeking to clinically apply GRSs. This review provides a framework by which the clinician may systematically evaluate a GRS. As genotyping becomes more accessible and cost-effective, it will become increasingly important to recognize the clinical applicability of GRSs and identify those of the highest utility for patient care. This framework for the evaluation of a GRS will also help ensure reliability among GRS research in rheumatology, thereby helping to advance the field.

Evaluating suicide prevention gatekeeper training designed to identify and support people from asylum-seeking and refugee backgrounds

BackgroundSuicide-related behaviours and individual risk factors for suicide differ between ethnicities and demonstrate additional variation based on voluntary and forced migration. People forcibly displaced by violence and conflict, such as those seeking asylum and refugees, are likely to face stressors that can increase suicide risk. Research into evidenced-based suicide prevention strategies among people from asylum-seeking and refugee backgrounds is scarce. However, early, contextually-appropriate, identification and intervention may be a promising way to facilitate support for people in these groups. This research proposes that a contextually-responsive gatekeeper training is an appropriate strategy to increase the identification and support for people from asylum-seeking and refugee backgrounds.MethodsThe present article relates to the statistical findings of a larger mixed-method study used to validate and refine a contextually-responsive gatekeeper training program. The qualitative results of this research will be published separately. The outcome measures – knowledge about suicide in multicultural contexts, attitudes towards suicide and prevention, and self-efficacy to intervene were measured quantitatively, adopting a similar pre- and post-training procedure used in previous training evaluations. Using Generalised Estimating Equations, statistical comparisons were made between three identical self-report surveys completed by participants across three consecutive time points – pre-training, immediately post-training, and three months following training completion – known in this investigation as time-point zero (T0), time-point one (T1), and time-point two (T2). Lastly, during the T2 follow-up, additional open-ended questions were included to understand which areas of training they feel prepared them effectively and how the program could have better prepared them to intervene.ResultsA total of 28 participants took part in the study. Quantitative analysis indicated the program’s capacity to exert a significant favourable and lasting influence on knowledge about suicide and self-efficacy to intervene. In addition, follow-up measurements suggest that the content delivered to participants transferred effectively into real-world suicide prevention behaviours.ConclusionsFindings suggest that tailored suicide prevention training can have a significant influence on knowledge about suicide in multicultural contexts, self-efficacy to intervene in a crisis, and that course content translates effectively into real-world suicide prevention behaviour. Modifying training practices, based on feedback from contextually-experienced attendees, appears to be a pivotal factor in promoting the support of people from asylum-seeking and refugee backgrounds.