Genetic liability estimated from large-scale family data improves genetic prediction, risk score profiling, and gene mapping for major depression.

Large biobank samples provide an opportunity to integrate broad phenotyping, familial records, and molecular genetics data to study complex traits and diseases. We introduce Pearson-Aitken Family Genetic Risk Scores (PA-FGRS), a method for estimating disease liability from patterns of diagnoses in extended, age-censored genealogical records. We then apply the method to study a paradigmatic complex disorder, major depressive disorder (MDD), using the iPSYCH2015 case-cohort study of 30,949 MDD cases, 39,655 random population controls, and more than 2 million relatives. We show that combining PA-FGRS liabilities estimated from family records with molecular genotypes of probands improves three lines of inquiry. Incorporating PA-FGRS liabilities improves classification of MDD over and above polygenic scores, identifies robust genetic contributions to clinical heterogeneity in MDD associated with comorbidity, recurrence, and severity and can improve the power of genome-wide association studies. Our method is flexible and easy to use, and our study approaches are generalizable to other datasets and other complex traits and diseases.

Association of adverse pregnancy outcomes with cardiovascular risk profiles in later life: Current insights from the Hamburg City Health Study (HCHS).

BACKGROUND AND AIMS: Adverse pregnancy outcomes (APO) have been related to increased cardiovascular (CV) risk and mortality in later life. Underlying pathomechanisms for the development of CV disease in these women are not yet fully understood. In this study, we aimed to investigate the relationship between APO and individual CV risk profiles in later life. METHODS: We used cross-sectional data from 10,000 participants enrolled in the Hamburg City Health Study (HCHS). We analysed self-reported APO, CV risk factors and health status, including biomarkers, electrocardiogram, echocardiography and vascular ultrasound. To examine associations, Wilcoxon rank sum test and Pearson's χ2-test were performed. Multivariable-adjusted regression models were calculated to determine associations. RESULTS: N = 1970 women who reported pregnancies were included. Median age was 63 years, 8.7 % reported gestational hypertension (gHTN), 18 % excessive weight gain and 2.4 % gestational diabetes. Ten percent had delivered newborns with birth weight <2.5 kg, 14 % newborns with birth weight >4 kg. In multivariable-adjusted models, significant associations between APO, CV risk profiles and cardiac remodeling were identified. gHTN correlated with higher body mass index (BMI) (Beta 1.68, CI 95 % 0.86-2.50; p < 0.001), hypertension (OR 4.58, CI 95 % 2.79-7.86; p < 0.001), left ventricular remodeling (e.g. left ventricular mass index (Beta 4.46, CI 95 % 1.05-7.87; p = 0.010)) and myocardial infarction (OR 3.27, CI 95 % 0.94-10.07; p = 0.046). CONCLUSIONS: In this population-based sample, APO were associated with CV risk profiles and cardiac remodeling in later life, suggesting early manifestations of future CV risk during pregnancy. Prospective data is needed for individual risk stratification in women with APO.

Identifying latent classes of suicidal ambivalence: Associations with suicide risk correlates and outcomes.

INTRODUCTION: Research has largely conceptualized suicidal ambivalence as the difference between one's wish to live and wish to die without fully considering other suicide ideation (SI) experiences included on measures like the Beck Scale for Suicide Ideation (BSS). We utilized BSS items to identify SI latent classes and examined relevant correlates and outcomes. METHODS: We collected self-report data from two samples of US adults who: (1) self-identified as LGBTQ+ (N = 349; cross-sectional) and (2) self-reported past-week SI (BSS score ≥ 11; N = 133; 3 timepoints). RESULTS: Latent class analyses supported three-class (Sample 1) and four-class solutions (Sample 2), which included ambivalent classes. In Sample 1, sexual orientation, gender, depression, anxiety, SI, and suicide-specific rumination were concurrently associated with class membership. In Sample 2, depression, SI, suicide-specific rumination, and physical/psychological distance from suicide methods were concurrently associated with class membership. In Sample 2, at both follow-ups, suicide plans/preparations and Acute Suicidal Affective Disturbance symptom frequencies were provided by class membership, and suicidal intent significantly differed by class membership. CONCLUSIONS: SI classes differed by sample and evidenced nuances in SI and suicidal ambivalence. Risk factors and suicide-related outcomes also differed by class membership. Implications and limitations are discussed.

Risk profiles of elite breath-hold divers.

This study aimed to determine a typical profile of elite breath-hold divers (BHDs), in relation to loss of consciousness (LOC) and episodic memory. Forty-four BHDs were evaluated during a world championship with anthropometric and physiological measurements, psychosociological factors and memory assessment. Seventy-five percent of the BHDs had at least one LOC with the predominance being men (p < 0.05). Thirty six percent of BHDs presented a low-risk profile and 64% a high-risk profile with no particular psychological pattern. Stepwise multiple linear regression showed that body fat, years of BH practice, age and forced vital capacity explained a significant amount of the variance of LOC for all BHDs (F(4,39) = 16.03, p < 0.001, R2 = 0.622, R2Adjusted = 0.583). No correlation was found between resting physiological parameters and their training or depth performances. In conclusion, anthropometric data, pulmonary factors and breath-holding experience were predictive of LOC in elite BHDs, with men taking more risks. BHDs episodic memory was not impaired.

Examining the relationship between adversity and suicidality and self-harm in Irish adolescents from 2020 to 2022.

BACKGROUND: Research indicates that there is a strong association between childhood adversity and youth suicide and self-harm. However, there is currently a lack of understanding about the patterns of adversity most frequently experienced by youth across social settings, and whether these typologies differently predict youth engagement in suicide and self-harm. This study examines the dominant patterns of adversity experienced by adolescents across home, peer, and school contexts, and explores the relationship between youth's adversity profiles and their suicide and self-harm outcomes, across a two year period (2020-2022). METHODS: Secondary analyses were performed on data collected from 10,281 (50 % male) adolescents who participated in the Irish Planet Youth questionnaire in 2020 (n = 5004) or 2022 (n = 5277). RESULTS: Findings from clustered latent class analyses indicated that there are four dominant profiles of adversity experienced by adolescents. Class 1 (Multiple Adversity) was characterised by a high probability of experiencing adversity across multiple social settings. Class 2 (Parent Adversity) had a strong likelihood of experiencing adversity with parents. Class 3 (Peer Adversity) were likely to experience adversity within the peer/friend domain. Class 4 was characterised by a low probability of experiencing adversity. Findings from logistic regression models with BCH training weights indicated that there were significant differences in self-harm and suicidality across the adversity classes. In comparison to the low adversity group, adolescents in the multiple adversity group were more likely to self-harm and attempt suicide. LIMITATIONS: These findings are based on cross-sectional data and rely on the use of single-item measurements, which may limit the generalisability of findings. DISCUSSION: Results indicate that youth who experience adversity across home, peer and school contexts are at the greatest risk of engaging in suicide and self-harm. These findings have important implications for policy and practice, and suggest that youth experiencing adversity across multiple settings should be priority targets for intervention.

US drinking water quality: exposure risk profiles for seven legacy and emerging contaminants.

BACKGROUND: Advances in drinking water infrastructure and treatment throughout the 20th and early 21st century dramatically improved water reliability and quality in the United States (US) and other parts of the world. However, numerous chemical contaminants from a range of anthropogenic and natural sources continue to pose chronic health concerns, even in countries with established drinking water regulations, such as the US. OBJECTIVE/METHODS: In this review, we summarize exposure risk profiles and health effects for seven legacy and emerging drinking water contaminants or contaminant groups: arsenic, disinfection by-products, fracking-related substances, lead, nitrate, per- and polyfluorinated alkyl substances (PFAS) and uranium. We begin with an overview of US public water systems, and US and global drinking water regulation. We end with a summary of cross-cutting challenges that burden US drinking water systems: aging and deteriorated water infrastructure, vulnerabilities for children in school and childcare facilities, climate change, disparities in access to safe and reliable drinking water, uneven enforcement of drinking water standards, inadequate health assessments, large numbers of chemicals within a class, a preponderance of small water systems, and issues facing US Indigenous communities. RESULTS: Research and data on US drinking water contamination show that exposure profiles, health risks, and water quality reliability issues vary widely across populations, geographically and by contaminant. Factors include water source, local and regional features, aging water infrastructure, industrial or commercial activities, and social determinants. Understanding the risk profiles of different drinking water contaminants is necessary for anticipating local and general problems, ascertaining the state of drinking water resources, and developing mitigation strategies. IMPACT STATEMENT: Drinking water contamination is widespread, even in the US. Exposure risk profiles vary by contaminant. Understanding the risk profiles of different drinking water contaminants is necessary for anticipating local and general public health problems, ascertaining the state of drinking water resources, and developing mitigation strategies.

Unveiling breast cancer risk profiles: a survival clustering analysis empowered by an online web application.

Aim: To develop a shiny app for doctors to investigate breast cancer treatments through a new approach by incorporating unsupervised clustering and survival information. Materials & methods: Analysis is based on the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset, which contains 1726 subjects and 22 variables. Cox regression was used to identify survival risk factors for K-means clustering. Logrank tests and C-statistics were compared across different cluster numbers and Kaplan-Meier plots were presented. Results & conclusion: Our study fills an existing void by introducing a unique combination of unsupervised learning techniques and survival information on the clinician side, demonstrating the potential of survival clustering as a valuable tool in uncovering hidden structures based on distinct risk profiles.

Risk profiles of adults with heavy alcohol use: Drinking patterns, behavioral and metabolic factors, health problems, and racial and ethnic disparities.

BACKGROUND: Heavy alcohol use is a growing risk factor for chronic disease, yet little is known about its co-occurrence with other risk factors and health problems. This study aimed to identify risk profiles of adults with heavy alcohol use and examined potential disparities by race and ethnicity. METHODS: This cross-sectional study included 211,333 adults with heavy alcohol use (in excess of daily or weekly limits recommended by National Institute on Alcohol Abuse and Alcoholism) between June 1, 2013 and December 31, 2014 in Kaiser Permanente Northern California. Latent class analysis was used to examine how heavy drinking patterns clustered with other behavioral and metabolic risk factors and health problems to form risk profiles. Multinomial logistic regression models were fit to examine associations between race, ethnicity, and risk profiles. RESULTS: A 5-class model was selected as best fitting the data and representing clinically meaningful risk profiles: (1) "heavy daily drinking and lower health risks" (DAILY, 44.3%); (2) "substance use disorder and mental health disorder" (SUD/MH, 2.3%); (3) "heavy weekly drinking and lower health risks" (WEEKLY, 19.6%); (4) "heavy daily drinking and more health risks" (DAILY-R, 18.5%); (5) "heavy weekly drinking and more health risks" (WEEKLY-R, 15.3%). American Indian or Alaska Native (AIAN) and Black patients had higher odds than White patients of being in the SUD/MH, DAILY-R, and WEEKLY-R profiles than the DAILY profile. AIAN, Black, and Latino/Hispanic patients had higher odds than White patients of being in the SUD/MH, DAILY-R, and WEEKLY-R profiles rather than the WEEKLY profile. CONCLUSIONS: AIAN, Black, and Latino/Hispanic patients with self-reported heavy drinking were more likely to be in risk profiles with greater alcohol consumption, more health risks, and higher morbidity. Targeted, culturally appropriate interventions for heavy alcohol use that may address other modifiable risk factors are needed to work towards health equity.

Clinicopathological Risk Factors of Unfavorable Outcomes in Vietnamese Women with Primary Invasive Breast Cancer: A Retrospective Cohort Study.

Background: The rate of unfavorable outcomes, such as recurrence and death, in women with invasive breast cancer varies widely across countries and populations. Identifying those with high-risk profiles is critical so that early detection, prediction, and intervention can be made to improve their survival rate. Therefore, our study evaluated the rate of unfavorable outcomes and its association with clinicopathological characteristics in Vietnamese women with primary invasive breast cancer. Methods: A retrospective open cohort study was conducted on Vietnamese women with invasive breast cancer who underwent a mastectomy and were regularly followed up by the hospitals. Kaplan-Meier method was used to estimate the rate of unfavorable outcomes to take into account the follow-up time of each patient. Univariate and multiple Cox regression analyses were conducted to examine the associations between unfavorable outcomes and clinicopathological characteristics. Results: Among 204 women included in the data analysis, the mean age was 54.4 ± 10.9 years. The majority of patients were diagnosed with early-stage (76.5%) or locally advanced (22.5%) breast cancer. The 5-year rate of unfavorable outcomes was 12.8%, and the 8-year rate was 31.7%. Patients with advanced stages had a higher risk of unfavorable outcomes compared to those with early stages (IA, IIA, T2N1). Patients with lymph node metastases and those with triple-negative molecular classification had significantly higher rates of unfavorable outcomes. Conclusion: Although Vietnamese women with breast cancer have a relatively low rate of unfavorable outcomes compared to other countries, findings from this study emphasize the importance of early detection and underscore the need for targeted interventions for patients with advanced stages, lymph node metastases, and triple-negative breast cancer to optimize their treatment, outcomes, and overall prognosis.

Risk Profiles of New Users of Oral Anticoagulants Between 2011 and 2019 in Germany.

Purpose: Over the last decade, the use of direct oral anticoagulants (DOACs) has strongly increased. We aimed to describe and compare risk profiles including potential changes over time among persons with non-valvular atrial fibrillation initiating treatment with different DOACs or phenprocoumon (vitamin K antagonist) between 2011 and 2019 in Germany. Patients and Methods: Using the German Pharmacoepidemiological Research Database (GePaRD; claims data of ~20% of the German population), we identified persons with a first dispensing of phenprocoumon or a DOAC and a diagnosis of non-valvular atrial fibrillation between August 2011 and December 2019. We described the morbidity of included patients prior to treatment initiation, stratified by year of treatment initiation. Results: Overall, we included 448,028 new users (phenprocoumon: N = 118,117, rivaroxaban: N = 130,997, apixaban: N = 130,300, edoxaban: N = 38,128, dabigatran: N = 30,486). Comparing new DOAC users in 2019, the proportion with prior ischemic stroke was highest for dabigatran (17%) and lowest for rivaroxaban (8%). The proportion with prior major bleeding was also highest for dabigatran (25%) and lowest for edoxaban (20%). New users of apixaban were oldest and, eg, showed the highest prevalence of congestive heart failure. Changes over time were most pronounced for phenprocoumon. For example, among persons initiating phenprocoumon in 2012 vs 2019, the proportion with prior major bleeding increased from 18% to 35%; the proportion with renal disease increased from 20% to 36% and the proportion with liver disease from 18% to 24%. Conclusion: This study demonstrated differences in risk profiles between new users of different oral anticoagulants and substantial changes over time among new phenprocoumon users. These differences have to be considered in head-to-head comparisons of these drugs based on observational data, especially regarding potential unmeasured confounding.

Cardiovascular risk profiles clusters among children and adolescents with disabilities.

BACKGROUND: Cardiovascular diseases (CVD) are a precursor for disabilities and death worldwide. Being overweight or obese in combination with physical inactivity and smoking habits may increase the risk for CVD and other health problems such as lower limb osteoarthritis, diabetes, stroke, and various cancer types among children and adolescents. The literature emphasizes the need to follow such groups and evaluate the risk of individuals developing CVD diseases. Therefore, the current study explores the variety of cardiovascular risks in children and adolescents' profiles clusters with and without disabilities. METHODS: Data from 42 countries including Israel, was collected with the support of the world health organization (WHO, Europe) through a questionnaire from 11-19 years old school-aged. RESULTS: The study finding shows that children and adolescents with disabilities demonstrated a higher prevalence of overweight than those who completed the HBSC youth behavior survey. Moreover, the prevalence of tobacco smoking and alcohol use was statisticaly significantly higher among the disabled group than the non-disabled group. In addition, socioeconomic status of responders who presented a very high CVD risk was found as significantly lower than those from the first and second low risk groups. CONCLUSION: This led to the conclusion that children and adolescents with disability were at a higher risk of developing CVDs than their non-disabled peers. In addition, intervention programs tailored to the needs of adolescents with disability should consider lifestyle habit change and promoting healthy living thus improving their quality of life as well as reducing their risk of being exposed to severe CVD diseases.

Youth Suicide and Self-Harm: Latent Class Profiles of Adversity and the Moderating Roles of Perceived Support and Sense of Safety.

Research suggests that exposure to adversity can lead to an increased risk of experiencing suicidal and self-injurious thoughts or behaviours, but few studies have examined whether different patterns of adversity are differentially associated with youth suicide/self-harm. The current study aims to explore the relationship between exposure to adversity across various social domains and youth self-harm and suicidality, using a person centred approach, and examines whether access to social support and a sense of safety across home, peer or school settings buffer the relationship between adversity and self-harm/suicidality. Secondary data analyses were carried out on cross-sectional self-report data collected from 4848 (Mage=15.78, SD = 0.59; 50% female) adolescents who participated in the Irish Planet Youth survey. Latent Class Analyses identified four distinct profiles of adversity; low-adversity (n = 2043, 42%); peer-adversity (n = 972, 20%); parental-adversity (n = 1189, 25%); and multiple-adversity (n = 644, 13%). Findings from logistic moderated regressions indicated that there were significant differences in self-harm and suicidality across the adversity classes. Although parental support and perceived safety at school were negatively associated with suicidality and self-harm outcomes, no significant moderation effects were observed. These findings suggest that youth who experience adversity across multiple social domains are more likely to report suicidal and self-harm thoughts and behaviours, and should be key targets for intervention/prevention efforts. While parental support and school safety may act as significant compensatory factors, further work is needed to identify the social resources that can offset the risk imposed by youth's adverse experiences.

Prevention of Unplanned Hospital Admissions in Multimorbid Patients Using Computational Modeling: Observational Retrospective Cohort Study.

BACKGROUND: Enhanced management of multimorbidity constitutes a major clinical challenge. Multimorbidity shows well-established causal relationships with the high use of health care resources and, specifically, with unplanned hospital admissions. Enhanced patient stratification is vital for achieving effectiveness through personalized postdischarge service selection. OBJECTIVE: The study has a 2-fold aim: (1) generation and assessment of predictive models of mortality and readmission at 90 days after discharge; and (2) characterization of patients' profiles for personalized service selection purposes. METHODS: Gradient boosting techniques were used to generate predictive models based on multisource data (registries, clinical/functional and social support) from 761 nonsurgical patients admitted in a tertiary hospital over 12 months (October 2017 to November 2018). K-means clustering was used to characterize patient profiles. RESULTS: Performance (area under the receiver operating characteristic curve, sensitivity, and specificity) of the predictive models was 0.82, 0.78, and 0.70 and 0.72, 0.70, and 0.63 for mortality and readmissions, respectively. A total of 4 patients' profiles were identified. In brief, the reference patients (cluster 1; 281/761, 36.9%), 53.7% (151/281) men and mean age of 71 (SD 16) years, showed 3.6% (10/281) mortality and 15.7% (44/281) readmissions at 90 days following discharge. The unhealthy lifestyle habit profile (cluster 2; 179/761, 23.5%) predominantly comprised males (137/179, 76.5%) with similar age, mean 70 (SD 13) years, but showed slightly higher mortality (10/179, 5.6%) and markedly higher readmission rate (49/179, 27.4%). Patients in the frailty profile (cluster 3; 152/761, 19.9%) were older (mean 81 years, SD 13 years) and predominantly female (63/152, 41.4%, males). They showed medical complexity with a high level of social vulnerability and the highest mortality rate (23/152, 15.1%), but with a similar hospitalization rate (39/152, 25.7%) compared with cluster 2. Finally, the medical complexity profile (cluster 4; 149/761, 19.6%), mean age 83 (SD 9) years, 55.7% (83/149) males, showed the highest clinical complexity resulting in 12.8% (19/149) mortality and the highest readmission rate (56/149, 37.6%). CONCLUSIONS: The results indicated the potential to predict mortality and morbidity-related adverse events leading to unplanned hospital readmissions. The resulting patient profiles fostered recommendations for personalized service selection with the capacity for value generation.

Feeling lonely during the pandemic: Towards personality-tailored risk profiles.

This is the first study to disentangle associations of within- and between-person fluctuations in loneliness and their effect on evening mood during a nationwide lockdown due to COVID-19. To contribute to the development of personality-tailored risk profiles, we additionally explored the moderating role of trait neuroticism and extraversion on the association of within- and between-person loneliness and mood. We employed an ambulatory assessment design during 21 days of nationwide lockdown in Germany (13/04/2020-03/05/2020) with two interval-based assessments. The final sample comprised 322 participants (74.5% women) aged between 15 and 82 years (M = 30.7, SD = 14.9) providing 6,084 evening assessments. Linear mixed models were used to evaluate the effects of within- and between-person fluctuations in loneliness on evening mood while controlling for unspecific effects of time, sex, and age. Moderation analysis was used to investigate the influence of neuroticism and extraversion on the relation between loneliness and mood, respectively. Results indicate that especially higher between-person loneliness (i.e. participants felt lonelier compared to the average participant) but also higher within-person loneliness (i.e. participants felt lonelier compared to their individual mean) were associated with a more unpleasant mood. Neuroticism augmented the effect of within-person loneliness, while extraversion seemed to buffer the effect of between-person loneliness on mood. Our findings underline the importance of carefully monitoring loneliness during COVID-19. The findings contribute towards the development of personality-tailored risk profiles (e.g. among newly arising risk groups for loneliness due to COVID-19). We discuss how the differential consideration of within- and between-psychological processes might help to elucidate currently mixed findings on psychological coping during the COVID-19 pandemic.

Gender-specific characteristics of alcohol use in community-dwelling older adults in Belgium.

OBJECTIVES: Gender has been identified as an important social determinant for health. This study investigates gender-specific characteristics for alcohol use (AU) among community-dwelling older adults. METHODS: This is a retrospective cross-sectional study in 1,406 community-dwelling older adults. We used standardized questionnaires to collect self-reported data on alcohol use behavior, mental health, drinking motives and resilience by using, respectively, the Alcohol Use Identification Test (AUDIT), the Brief Symptom Inventory (BSI), the Drinking Motives Questionnaire (DMQ), and the Connor-Davidson Resilience Scale (CD-RISC). Multiple linear regression was used to identify the joint contribution of those factors on AU. Hierarchical regression was used to investigate the influence of the interaction between gender and those factors on AU. RESULTS: Linear regression analyses showed different associations with AU in men and women. Hierarchical regression analyses showed that gender presented a two-way interaction effect with enhancement and anxiety variables related to AU. CONCLUSIONS: Different characteristics were found as predictors for AU among older men and women. CLINICAL IMPLICATIONS: Clinicians and health-care providers should be aware of these differences in order to provide tailored screening and intervention programs to reduce AU in older adults.

Risk Profiles of Korean Adolescents in Relations With Contextual Factors: Implications for Multi-Tiered Systems of Support.

Introduction: Although prior studies have supported the effectiveness of Multi-Tiered Systems of Support (MTSS) on addressing social, emotional, behavioral, and academic challenges faced by youth at-risk, educators using MTSS often do not consider contextual factors which may also influence youth at-risk and the interventions targeting them. This study thus aimed to identify youth at-risk who should be referred to targeted instructions within MTSS by examining the risk profiles of Korean adolescents. Based on the identified risk profiles, we also tried to investigate the effect of contextual factors on deciding youth at-risk and confirm whether and/or what contextual factors should be considered when implementing targeted interventions for them. Method: To accomplish the research goal, a latent profile analysis on risk factors of Korean adolescents was performed, using the first year data of "Korean Children and Youth Panel Study (KCYPS) 2018." Results: Four risk profiles were identified, using low academic motivation, low academic behavior, attention deficit, aggression, social withdrawal, and depression as indicators: the high risk, M-SEB (Moderate-social, emotional, & behavioral) risk, M-ACA (Moderate-academic) risk, and low risk group. The covariates of this study, home and school environmental variables, worked as predictors of adolescents included in the high group. Conclusion: The results of this study suggest students in the high risk group (16.8%) should be given targeted instructions combining academic and SEB support within MTSS so as to prevent negative outcomes in the future among all adolescents. Those instructions need to be planned with consideration of contextual factors accompanied by teacher's careful understanding of social dynamics surrounding each student.

Corrigendum: Risk Profiles of Korean Adolescents in Relations With Contextual Factors: Implications for Multi-Tiered Systems of Support.

[This corrects the article DOI: 10.3389/fpsyt.2022.796928.].

Cattle welfare assessment at the slaughterhouse level: Integrated risk profiles based on the animal's origin, pre-slaughter logistics, and iceberg indicators.

Detection of on farm and transport animal welfare problems at slaughterhouse level is a key issue for the meat industry; however, usually, the assessments do not include basic aspects of animal health. For that reason, it is necessary to develop an assessment method that has an integrative scope and identifies the risk profiles in animals. Therefore, the aim of the present study was to detect cattle welfare indicators that can be implemented at the slaughterhouse level and to develop integrated risk profiles based on the animal's origin, pre-slaughter logistics, and animal-based indicators. We recorded the origin, commercial category, transportation details, and horn size of 1040 cattle upon arrival at the slaughterhouse. Cattle welfare was measured based on individual scores for vocalizations, stunning shots, carcass bruises, meat pH, severe hoof injuries, and organ condemnations. To characterize operational and logistic practices from the farm to the slaughterhouse, a two-step cluster analysis was applied to the aforementioned variables (production system, cattle type, horn size, journey distance, vehicle type), which identified four clusters: small feedlot and free-range profile (C1, n = 216, 20.8 %), feedlot profile (C2, n = 193, 18.6 %), culled dairy cows profile (C3, n = 262, 25.2 %), and free-range profile (C4, n = 369, 35.5 %). The animal's diet and environmental conditions might have influenced the development of hoof disorders in C1 animals (P = 0.023), the proportion of animals that were re-shot was highest in C2 animals (P = 0.033), and C3 and C4 animals were most likely to suffer injuries such as severe bruising (P = 0.001). In addition, the number of stunning shots, meat pH, carcass bruises, severe hoof injuries, and liver condemnations, explained a significant variation in the incidence of various health and welfare consequences based on an animal's origin, which confirmed their importance as 'welfare iceberg' indicators. The study provided detailed data that can be included into assessment methods for the welfare of slaughter cattle, which can be tailored to specific production systems.

Evaluation of Preventive Treatment Protocols for Patients under Antiresorptive Therapy Undergoing Tooth Extraction at a Swiss University Clinic.

Antiresorptive agent-related osteonecrosis of the jaw (ARONJ) is a dreaded complication in patients with compromised bone metabolism. The purpose of the present study was to examine the occurrence of ARONJ and its related factors among patients with a history of antiresorptive therapy undergoing tooth extraction using preventive protocols at a Swiss university clinic. Data were retrospectively pooled from health records of patients having received a surgical tooth extraction between January 2015 and April 2020 in the Clinic of Cranio-Maxillofacial and Oral surgery, University of Zurich. A total of 970 patients received an extraction with flap elevation or wound closure during this period. A total of 104 patients could be included in the study. Furthermore, variables including age, gender, smoking, risk profile, choice, indication and duration of antiresorptive therapy, number of extractions, extraction site, surgical technique, choice and duration of antibiotics as well as the presence of postoperative inflammatory complications were assessed. Overall, 4 patients developed ARONJ (incidence of 3.8%) after tooth extraction at the same location, without previous signs of osteonecrosis. Preventive methods included predominantly primary wound closure using a full thickness mucoperiosteal flap and prolonged perioperative antibiotic prophylaxis. In accordance with current literature, the applied protocol showed a reliable outcome in preventing ARONJ when a tooth extraction is required.

How the high-volume evacuation alters the flow-field and particle removal characteristics in the mock-up dental clinic.

The exposure risk of droplets and aerosols emitted from the oral cavity to the dental professionals and patients has received more attention especially the ongoing outbreak of COVID-19. The aim of this study is to address the question about how the use of the high-volume evacuation (HVE) alters the risk profiles compared with the situation only personal protective equipment (PPE). The risk profiles of the different situations were analyzed in terms of droplet velocity, flow field characteristics, and particle removal efficiency. The ultrasonic scaling with suction was performed in the mock-up experimental dental clinic, and the instantaneous moment when the HVE acted on the droplets was visualized using a laser light scattering technique. From the results of the velocity profiles, the hypothesis about the moderate effect of the HVE on high-velocity small droplets near the mannequin's mouth had been firstly proven in this study. The suction can be characterized as low-threshold equipment to bring substantial benefits to reduce the area of the contaminated region. Once the cooperation of suction, the pair of vortexes that were in the face shield area of the dental professional would be eliminated, removing the high-level contaminated region near the breathing area of dental professionals. Compared with the low and medium volume evacuation, the particle removal efficiency of the HVE was more stable at 60%. The research will provide references to the HVE recommendation in the dentistry clinical practice guidelines.