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Introduction: The American College of Surgeons (ACS) recommends that special considerations be made during triage of trauma patients aged ≥55 due to an observed increase in morbidity and mortality in this population. The geriatric population aged ≥65 represents 30% of all trauma patients. Our objective was to assess which pre-existing conditions (PECs) are associated with worse outcomes in trauma patients aged ≥55. Methods: Study population was selected from the local trauma registry (2020-22). Bi-variate analysis compared PEC status with outcomes controlling for each Injury Severity Score (ISS) category. Injury Severity Score was defined as mild (1-8), moderate (9-15), severe (16-24), and critical (≥25). Results: A total of 5,168 patients were identified (54.9% female, 56.7% age ≥75, 49.1% mild injury). Patients who had chronic renal failure (CRF) were at increased odds of mortality after adjusting for mild (adjusted odds ratio [aOR]: 2.63), moderate (aOR: 2.97), severe (aOR: 2.84), and critical (aOR: 2.62) injuries. Patients who had cirrhosis or congestive heart failure (CHF) were at increased odds of mortality after adjusting for mild (aOR: 3.03, 1.61), moderate (aOR: 3.63, 2.14), and severe (aOR: 3.46, 1.93) injuries, respectively. In addition, there was a relationship between having chronic obstructive pulmonary disease (COPD), dementia, anticoagulant therapy, or diabetes with unplanned intensive care unit (ICU) admission and development of acute kidney injury (AKI). Discussion: There is an association between certain pre-exiting conditions and worse outcomes. Early identification of these factors could provide a foundation for better interdisciplinary management, prevention of complications and associated mortality. [ABSTRACT FROM AUTHOR]

Abstract Background The underlying mechanisms of post-COVID syndrome (PCS) are still not fully understood. While pre-existing conditions have been described as a risk factor for severe PCS in the general population, data specific to different occupational groups in this context is lacking. This study aimed to investigate the impact of pre-existing conditions on severe post-COVID syndrome among the occupational group of healthcare and social services employees. Methods Baseline data from a longitudinal, observational study were analysed. In February 2021, health workers who had a COVID-19 infection in 2020 were surveyed about sequelae of the infection. Factors influencing severe PCS with at least one persistent symptom categorised as severe were subjected to a multivariate logistic regression analysis. Results Of a total of 2,053 participants, 21.5% had severe PCS. Underlying respiratory (OR 1.94; CI 1.44–2.61), cardiovascular (OR 1.35; CI 1.04–1.77) and urogenital (OR 1.79; CI 1.10–2.91) disease were risk factors for severe PCS overall. Respiratory and mental illnesses had a statistically significant impact on persistent fatigue/exhaustion, concentration/memory difficulties and shortness of breath categorised as severe. Urogenital disease was associated with severe fatigue/exhaustion. Other significant risk factors for severe PCS were female sex, smoking, physical exercise and hospitalisation due to COVID-19 infection. Conclusion Workers in healthcare and social services with pre-existing conditions may face a higher risk of developing severe PCS. Additional analyses performed as part of the longitudinal study will show if and how this result changes over time.

Background: The underlying mechanisms of post-COVID syndrome (PCS) are still not fully understood. While pre-existing conditions have been described as a risk factor for severe PCS in the general population, data specific to different occupational groups in this context is lacking. This study aimed to investigate the impact of pre-existing conditions on severe post-COVID syndrome among the occupational group of healthcare and social services employees. Methods: Baseline data from a longitudinal, observational study were analysed. In February 2021, health workers who had a COVID-19 infection in 2020 were surveyed about sequelae of the infection. Factors influencing severe PCS with at least one persistent symptom categorised as severe were subjected to a multivariate logistic regression analysis. Results: Of a total of 2,053 participants, 21.5% had severe PCS. Underlying respiratory (OR 1.94; CI 1.44–2.61), cardiovascular (OR 1.35; CI 1.04–1.77) and urogenital (OR 1.79; CI 1.10–2.91) disease were risk factors for severe PCS overall. Respiratory and mental illnesses had a statistically significant impact on persistent fatigue/exhaustion, concentration/memory difficulties and shortness of breath categorised as severe. Urogenital disease was associated with severe fatigue/exhaustion. Other significant risk factors for severe PCS were female sex, smoking, physical exercise and hospitalisation due to COVID-19 infection. Conclusion: Workers in healthcare and social services with pre-existing conditions may face a higher risk of developing severe PCS. Additional analyses performed as part of the longitudinal study will show if and how this result changes over time. [ABSTRACT FROM AUTHOR]

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Abstract Background Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive. Methods We conducted a retrospective cohort study of all singleton live birth that occurred between April 1st 2006 and March 31st 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2) and ozone (O3)) were assigned to the study population in spatial resolution of approximately 1 km × 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations. Results Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM2.5 and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 µg/m3); 95% CI: 1.02 – 1.11)). For O3, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 – 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 –1.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O3 (p- value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively. Conclusion An increase of PM2.5 exposure in early pregnancy and of O3 exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect.

Background: Distinguishing whether and how pre-existing characteristics impact maternal responses to adversity is difficult: Does prior well-being decrease the likelihood of encountering stressful experiences? Does it protect against adversity's negative effects? We examine whether the interaction between relatively uniformly experienced adversity (due to COVID-19 experience) and individual variation in pre-existing (i.e., pre-pandemic onset) distress predicted mothers' pandemic levels of distress and insensitive caregiving within a country reporting low COVID-19 death rates, and strict nationwide regulations. Method: Fifty-one Singaporean mothers and their preschool-aged children provided data across two waves. Pre- pandemic onset maternal distress (i.e., psychological distress, anxiety, and parenting stress) was captured via self-reports and maternal sensitivity was coded from videos. Measures were repeated after the pandemic's onset along with questionnaires concerning perceived COVID-19 adversity (e.g., COVID-19's impact upon stress caring for children, housework, job demands, etc.) and pandemic-related objective experiences (e.g., income, COVID-19 diagnoses, etc.). Regression analyses (SPSS v28) considered pre-pandemic onset maternal distress, COVID-19 stress, and their interaction upon post-pandemic onset maternal distress. Models were re-run with appropriate covariates (e.g., objective experience) when significant findings were observed. To rule out alternative models, follow up analyses (PROCESS Model) considered whether COVID-19 stress mediated pre- and post-pandemic onset associations. Models involving maternal sensitivity followed a similar data analytic plan. Results: Pre-pandemic maternal distress moderated the association between COVID-19 perceived stress and pandemic levels of maternal distress (β = 0.22, p < 0.01) but not pandemic assessed maternal sensitivity. Perceived COVID-19 stress significantly contributed to post-pandemic onset maternal distress for mothers with pre-pandemic onset distress scores above (β = 0.30, p = 0.05), but not below (β = 0.25, p = 0.24), the median. Objective COVID-19 adversity did not account for findings. Post-hoc analyses did not suggest mediation via COVID-19 stress from pre-pandemic to pandemic maternal distress. Conclusions: Pre-existing risk may interact with subsequent perceptions of adversity to impact well-being. In combination with existing research, this small study suggests prevention programs should focus upon managing concurrent mental health and may highlight the importance of enhanced screening and proactive coping programs for people entering high stress fields and/or phases of life. [ABSTRACT FROM AUTHOR]

Background: Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive. Methods: We conducted a retrospective cohort study of all singleton live birth that occurred between April 1st 2006 and March 31st 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2) and ozone (O3)) were assigned to the study population in spatial resolution of approximately 1 km × 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations. Results: Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM2.5 and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 µg/m3); 95% CI: 1.02 – 1.11)). For O3, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 – 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 –1.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O3 (p- value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively. Conclusion: An increase of PM2.5 exposure in early pregnancy and of O3 exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect. [ABSTRACT FROM AUTHOR]

Summary: Background: As the COVID-19 pandemic continues to spread, the number of associated deaths continues to increase, especially among those with pre-existing conditions. Azvudine is recommended as a priority treatment for patients with COVID-19, but its efficacy in patients with pre-existing conditions is unknown. Methods: This is a single-centre, retrospective cohort study between December 5, 2022 and January 31, 2023 in Xiangya Hospital of Central South University in China to evaluate the clinical efficacy of Azvudine in hospitalised patients with COVID-19 and pre-existing conditions. Patients with Azvudine and controls were propensity score-matched (1:1) for age, gender, vaccination status, time from symptom onset to treatment exposure, severity at admission, concomitant treatments initiated at admission. The primary outcome was a composite outcome of disease progression, and the secondary outcome was each of these individual disease progression outcomes. The univariate Cox regression model was used to estimate a hazard ratio (HR) with 95% confidence interval (CI) for each result between the groups. Findings: We identified 2118 hospitalised patients with COVID-19 during the study period, with a follow-up of up to 38 days. After exclusions and propensity score matching, we included 245 Azvudine recipients and 245 matched controls. Azvudine recipients had lower crude incidence rate of composite disease progression outcome compared with matched controls (7.125/1000 person-days vs. 16.004/1000 person-days, P = 0.018). There was no significant difference in all-cause death between these two groups (1.934/1000 person-days vs. 4.128/1000 person-days, P = 0.159). Azvudine treatment was associated with significantly lower risks of composite disease progression outcome compared with matched controls (HR: 0.49; 95% CI: 0.27–0.89, P = 0.016). A significant difference in all-cause death was not found (HR: 0.45; 95% CI: 0.15–1.36, P = 0.148). Interpretation: These findings indicate that Azvudine therapy showed substantial clinical benefits in hospitalised patients with COVID-19 and pre-existing conditions, and should be considered for this population of patients. Funding: This work was supported by the National Natural Science Foundation of China (Grant Nos. 82103183 to F. Z., 82102803, 82272849 to G. D.), National Natural Science Foundation of Hunan Province (Grant Nos. 2022JJ40767 to F. Z., 2021JJ40976 to G. D.), Huxiang Youth Talent Program (Grant Nos. 2022RC1014 to M.S.) and Ministry of Industry and Information Technology of China (Grant Nos. TC210804V to M.S.).

Nanosafety assessment has experienced an intense era of research during the past decades driven by a vivid interest of regulators, industry, and society. Toxicological assays based on in vitro cellular models have undergone an evolution from experimentation using nanoparticulate systems on singular epithelial cell models to employing advanced complex models more realistically mimicking the respective body barriers for analyzing their capacity to alter the immune state of exposed individuals. During this phase, a number of lessons were learned. We have thus arrived at a state where the next chapters have to be opened, pursuing the following objectives: (1) to elucidate underlying mechanisms, (2) to address effects on vulnerable groups, (3) to test material mixtures, and (4) to use realistic doses on (5) sophisticated models. Moreover, data reproducibility has become a significant demand. In this context, we studied the emerging concept of adverse outcome pathways (AOPs) from the perspective of immune activation and modulation resulting in pro‐inflammatory versus tolerogenic responses. When considering the interaction of nanomaterials with biological systems, protein corona formation represents the relevant molecular initiating event (e.g., by potential alterations of nanomaterial‐adsorbed proteins). Using this as an example, we illustrate how integrated experimental–computational workflows combining in vitro assays with in silico models aid in data enrichment and upon comprehensive ontology‐annotated (meta)data upload to online repositories assure FAIRness (Findability, Accessibility, Interoperability, Reusability). Such digital twinning may, in future, assist in early‐stage decision‐making during therapeutic development, and hence, promote safe‐by‐design innovation in nanomedicine. Moreover, it may, in combination with in silico‐based exposure‐relevant dose‐finding, serve for risk monitoring in particularly loaded areas, for example, workplaces, taking into account pre‐existing health conditions. This article is categorized under:Toxicology and Regulatory Issues in Nanomedicine > Toxicology of Nanomaterials [ABSTRACT FROM AUTHOR]

Objectives: To investigate the aetiologies of sudden unexpected death from natural causes in children aged 1-18 years by retrospective examination of autopsy records from a single centre. Materials and methods: The post-mortem findings from 548 children (1996-2015) were examined. Details were entered into an established research database and categorized according to >400 pre-defined criteria. Results: There were 265 previously apparently healthy children and 283 with pre-existing, potentially life-limiting, conditions. There were more males than females (M:F 1.4:1), and deaths were more frequent in the winter. Infection was commonest accounting for 43% of all deaths. Non-infectious diseases were identified as cause of death in 28%, and 29% of all deaths were unexplained. There was no significant difference in the proportions of deaths in each category between the previously healthy children and those with pre-existing conditions. Conclusion: Sudden unexpected death is a rare presentation of death in childhood and those with pre-existing conditions may be more at risk. Standardisation of the post-mortem procedure in such cases may result in more ancillary investigations performed as routine and may reduce the number of cases that are 'unexplained'. [ABSTRACT FROM AUTHOR]

Gstir, Claudia, Timo Schurr, Roxana Ehlers, Johannes Burtscher, Barbara Sperner-Unterweger, and Katharina Hüfner. Is it possible for individuals with pre-existing mental disorders to perform mountain sports at high altitude-First evidence from a pilot cross-sectional questionnaire study. High Alt Med Biol. 00:00-00, 2024. Introduction: Mountain sports at high altitude (HA) are gaining increasing popularity, but little is known about the effect of such activities on mental health, despite a great prevalence of mental disorders. Methods: Data were collected using an online self-report questionnaire assessing mental and somatic disorders in individuals performing mountain sports at HA (>2,500 m above sea level [ASL]) as well as their symptom change. Nonparametric tests were used for analyses. Results: 251 individuals without pre-existing disorders (noD), 34 with somatic disorders (somaD), and 38 with mental disorders (mentalD; mainly depressive, eating, and anxiety disorders) participated in this study. Overall, 44.7% of the mentalD group compared with 14.7% of somaD experienced ameliorated symptoms during mountain sports at HA, while 2.6% and 8.8%, respectively, reported a worsening (χ 2 [2] =8.13, p = 0.017). People in the mentalD compared with somaD group significantly less frequently inform tour partners (41.9% vs. 90.9%; χ 2 [2]=16.69, p < 0.001) about their condition or consult their physician (2.6% vs. 26.5%; χ 2 [1]=8.53, p = 0.003) regarding their plans to perform mountain sports at HA. 14.5% of all participants reported mental symptoms at 2,500-3,500 m ASL, 23.5% between >3,500-5,500 m ASL and 31.8% >5,500 m ASL. Conclusion: Individuals with mental disorders often report improved mental health during mountain sports at HA, possibly due to a combination of physical activity, the alpine natural environment, and/or moderate hypoxia. The fact that tour partners and physicians are rarely informed shows the need to reduce the stigma of mental disorders in the mountain sports community. The study was prospectively registered with the German Clinical Trials Registry (DRKS00024949).

Abstract Background This research estimates the effects of vulnerability on the spread of COVID-19 cases across U.S. counties. Vulnerability factors (Socioeconomic Status, Minority Status & Language, Housing type, Transportation, Household Composition & Disability, Epidemiological Factors, Healthcare system Factors, High-risk Environments, and Population density) do not only influence an individual’s likelihood of getting infected but also influence the likelihood of his/her neighbors getting infected. Thus, spatial interactions occurring among individuals are likely to lead to spillover effects which may cause further virus transmission. Methods This research uses the COVID-19 community index (CCVI), which defines communities likely vulnerable to the impact of the pandemic and captures the multi-dimensionality of vulnerability. The spatial Durbin model was used to estimate the spillover effects of vulnerability to COVID-19 in U.S. counties, from May 1 to December 15, 2020. Results The findings confirm the existence of spatial spillover effects; with indirect effects (from neighboring counties) dominating the direct effects (from county-own vulnerability level). This not only validates social distancing as a strategy to contain the spread of the pandemic but also calls for comprehensive and coordinated approach to fight its effects. By keeping vulnerability factors constant but varying the number of reported infected cases every 2 weeks, we found that marginal effects of vulnerability vary significantly across counties. This might be the reflection of both the changing intensity of the pandemic itself but also the lack of consistency in the measures implemented to combat it. Conclusion Overall, the results indicate that high vulnerability in Minority, Epidemiological factors, Healthcare System Factors, and High-Risk Environments in each county and adjacent counties leads to an increase in COVID-19 confirmed cases.

Addressing factors modulating COVID-19 is crucial since abundant clinical evidence shows that outcomes are markedly heterogeneous between patients. This requires identifying the factors and understanding how they mechanistically influence COVID-19. Here, we describe how eleven selected factors (age, sex, genetic factors, lipid disorders, heart failure, gut dysbiosis, diet, vitamin D deficiency, air pollution and exposure to chemicals) influence COVID-19 by applying the Adverse Outcome Pathway (AOP), which is well-established in regulatory toxicology. This framework aims to model the sequence of events leading to an adverse health outcome. Several linear AOPs depicting pathways from the binding of the virus to ACE2 up to clinical outcomes observed in COVID-19 have been developed and integrated into a network offering a unique overview of the mechanisms underlying the disease. As SARS-CoV-2 infectibility and ACE2 activity are the major starting points and inflammatory response is central in the development of COVID-19, we evaluated how those eleven intrinsic and extrinsic factors modulate those processes impacting clinical outcomes. Applying this AOP-aligned approach enables the identification of current knowledge gaps orientating for further research and allows to propose biomarkers to identify of high-risk patients. This approach also facilitates expertise synergy from different disciplines to address public health issues. [ABSTRACT FROM AUTHOR]

The study aimed to explore the self-perceived cognitive status and cognitive challenges associated with lifestyle changes in cardiac rehabilitation among elderly myocardial infarction (MI) patients (≥65 years). Further, the study explored coping strategies developed to manage these challenges in the everyday life. Nine patients were included in the study. Data were collected by telephone or in person, between 6 and 12 weeks post MI, using semi-structured interviews. Data were analysed inductively, using thematic analysis. Four major themes were identified, highlighting elderly MI patients' experiences of their cognitive status and cardiac rehabilitation management: (1) A change in cognition over time, (2) Situating the MI within a challenging and changing life context, (3) Navigating the hurdles of cardiac rehabilitation, and (4) Being seen within the healthcare system. Elderly MI patients are situated in a complex life context, dealing with a transition to retirement, multiple health issues and age-related cognitive decline. In this context, the MI experience is marginalised, and cognitive decline normalized. By adopting individually tailored interventions and improving healthcare provider continuity and accessibility, cognitive challenges associated with cardiac rehabilitation could be easier to overcome. Self-perceived cognitive impairment, in particular regarding memory, seems fairly common among elderly MI patients and should likely be identified prior to hospital discharge in order to optimize the prospects of self-care. There seems to exist an unmet need to implement the practice of individually adapted education and information further, in accordance with current recommendations for elderly cardiac patients. The overall health and cognitive status, social network and the objective living conditions (e.g., distance from service and housing) should be taken into account when planning the patient's cardiac rehabilitation management. Healthcare providers likely need to strengthen the continuity of care and increase its accessibility for elderly MI patients, in particular following the transfer from hospital care to local health centres. [ABSTRACT FROM AUTHOR]

Health factors impacting both the occurrence of, and recovery from traumatic brain injury (TBI) vary in complexity, and present genuine challenges to researchers and healthcare professionals seeking to characterize injury consequences and determine prognosis. However, attempts to clarify causal links between injury characteristics and clinical outcomes (including mortality) often compel researchers to exclude pre-existing health conditions (PECs) in their samples, including psychiatric history, medication usage, and other comorbid conditions. In this pre-registered population-based study (total starting n?=?939,123 patients), we examined trends in PEC incidence over 22 years in the state of Pennsylvania (1997?2019) in individuals sustaining TBI (n?=?169,452) and individuals with orthopedic injury (n?=?87,637). The goal was to determine how PECs interact with age and injury severity to influence short-term outcomes. A further goal was to determine whether number of PECs, or specific PEC clusters contributed to worse outcomes within the TBI cohort, compared with orthopedic injury alone. Primary findings indicate that PECs significantly influenced mortality within the TBI cohort; patients having four or more PECs were associated with approximately a two times greater likelihood of dying in acute care (odds ratio [OR] 1.9). Additionally, cluster analyses revealed four distinct PEC clusters that are age and TBI severity dependent. Overall, the likelihood of zero PECs hovers at ?25%, which is critical to consider in TBI outcomes work and could potentially contribute to the challenges facing intervention science with regard to reproducibility of findings.

Only a minority of people who test positive for COVID-19 develop a severe or critical form of the disease. Many of these have risk factors such as old age or pre-existing conditions and, therefore, are at the focus of protective measures. This article determines the number of people at risk in Germany and differentiates them according to age, sex, education, household type and federal state. The analyses presented here are based on data from the German Health Update (GEDA) 2019/2020-EHIS, which was carried out as a nationwide cross-sectional telephone-based survey between April 2019 and October 2020. The definition of being at increased risk of severe COVID-19 is primarily based on a respondent’s age and the presence of pre-existing conditions. Around 36.5 million people in Germany are at an increased risk of developing severe COVID-19. Of these, 21.6 million belong to the high-risk group. An above-average number of people at risk live alone. The prevalence of an increased risk is higher among middle-aged men than among women of the same age, and significantly higher among people with a low level of education than among people with a high level of education. The highest proportion of people with an increased risk live in Saarland and in the eastern German federal states. When fighting the pandemic, it is important to account for the fact that more than half of the population aged 15 or over is at increased risk of severe illness. Moreover, the regional differences in risk burden should be taken into account when planning interventions.

Background Patients with pre-existing conditions and poor health status are vulnerable for adverse health sequalae during the COVID-19 pandemic. We investigated the association of pre-existing medical conditions and self-perceived health status with the risk of mental health complications during the COVID-19 pandemic. Methods In October—December, 2020, 1036 respondents completed online survey that included assessment of pre-existing conditions, self-perceived health status, depressive (Patient Health Questionnaire-8 score ≥ 10), anxiety (Generalized Anxiety Disorders-7 score ≥ 10) and post-traumatic stress (Impact of Events Scale Revised) symptoms, alcohol use (AUDIT), and COVID-19 fear (COVID-19 Fears Questionnaires for Chronic Medical Conditions). Results Study participants were predominantly women (83%), younger than 61 years of age (94%). Thirty-six percent of respondents had a pre-existing condition and 5% considered their health status as bad or very bad. Pre-existing conditions and poor perceived health status were associated with increased risk for moderate to severe depressive and anxiety symptoms, fear of COVID-19 and post-traumatic stress symptoms, independently from respondents' age, gender, living area, smoking status, exercise, alcohol consumption and diet. Conclusions Pre-existing medical conditions and poor perceived health status are associated with increased risk of poor mental health status during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Background: In the early stages of the COVID-19 pandemic in 2020, daily life was significantly restricted due to the containment measures of the initial lockdown while SARS-CoV‑2 incidences remained relatively low. This study analyses socio-demographic and socio-economic groups in terms of changes in their subjective health during this phase., Methods: Data from the Socio-Economic Panel (n = 14,856, March-July 2020) were used to estimate the relative frequency of self-reported good health, great worries about one's own health, and high life satisfaction of men and women stratified by age, education, income, migration history, pre-existing medical conditions, and high-risk occupation. The results were mutually adjusted using logistic regression, displayed on a monthly basis, and compared with the pre-pandemic period., Results: Individuals of higher age, with lower education or income, and with pre-existing medical conditions reported positive health outcomes less frequently and worries more often. The differences between the subgroups remained largely stable compared to the pre-pandemic period. During the period of strongest restrictions due to infection-control measures, good health was reported less frequently by individuals with lower education or income compared to individuals with higher education or income., Discussion: The impact of the early phase of the pandemic on subjective health and life satisfaction was low for the majority of the examined groups. Relative impairments were only identified for women in low socio-economic positions., (© 2024. The Author(s).)

Background: This research estimates the effects of vulnerability on the spread of COVID-19 cases across U.S. counties. Vulnerability factors (Socioeconomic Status, Minority Status & Language, Housing type, Transportation, Household Composition & Disability, Epidemiological Factors, Healthcare system Factors, High-risk Environments, and Population density) do not only influence an individual's likelihood of getting infected but also influence the likelihood of his/her neighbors getting infected. Thus, spatial interactions occurring among individuals are likely to lead to spillover effects which may cause further virus transmission.Methods: This research uses the COVID-19 community index (CCVI), which defines communities likely vulnerable to the impact of the pandemic and captures the multi-dimensionality of vulnerability. The spatial Durbin model was used to estimate the spillover effects of vulnerability to COVID-19 in U.S. counties, from May 1 to December 15, 2020.Results: The findings confirm the existence of spatial spillover effects; with indirect effects (from neighboring counties) dominating the direct effects (from county-own vulnerability level). This not only validates social distancing as a strategy to contain the spread of the pandemic but also calls for comprehensive and coordinated approach to fight its effects. By keeping vulnerability factors constant but varying the number of reported infected cases every 2 weeks, we found that marginal effects of vulnerability vary significantly across counties. This might be the reflection of both the changing intensity of the pandemic itself but also the lack of consistency in the measures implemented to combat it.Conclusion: Overall, the results indicate that high vulnerability in Minority, Epidemiological factors, Healthcare System Factors, and High-Risk Environments in each county and adjacent counties leads to an increase in COVID-19 confirmed cases. [ABSTRACT FROM AUTHOR]

Introduction: Pre-existing conditions relevant for adverse events (AE) and the potential for drug–drug interactions (DDIs) may limit safe pharmacotherapeutic augmentation options for patients with major depressive disorder (MDD). This concern may be heightened among patients with treatment-resistant depression (TRD), who often have comorbid medical disorders. Methods: Adults with MDD and ≥ 1 antidepressant claim within the first observed major depressive episode were identified in the MarketScan® Databases. Those initiating a new regimen after two regimens at adequate dose and duration were considered to have TRD. The index date was defined at TRD onset or on a random antidepressant claim among patients with non-TRD MDD. Pre-existing conditions 12 months pre-index and potential DDIs 3 months pre/post-index associated with specific non-antidepressant augmentation therapies, including atypical antipsychotics (APs), buspirone, psychostimulants, anticonvulsants, thyroid hormone, and lithium were compared between 1:1 matched TRD and non-TRD MDD cohorts. Results: Overall, 3414 patients with TRD and non-TRD MDD (mean age 39.7 years, 69% female) were matched. Relative to non-TRD MDD, patients with TRD had 33% higher likelihood of ≥ 1 pre-existing condition relevant for AEs listed in product labels of non-antidepressant augmentation therapies (p < 0.001). Patients with TRD vs. non-TRD MDD had 12.9 and 6.4 times higher likelihood of ≥ 2 and ≥ 3 DDIs, respectively, based on their medication regimen (all p < 0.001). Conclusion: Pre-existing conditions relevant for listed AEs and potential DDIs limit safe augmentation options in MDD, particularly among patients with TRD. Payer prior authorization policies requiring several augmentation therapy trials to access novel treatments may complicate clinical management of this population. [ABSTRACT FROM AUTHOR]

Aim: We examined the impact of the COVID‐19 pandemic on how many children were admitted to Israel's largest tertiary paediatric hospital and why they were admitted. Methods: Israel declared COVID‐19 a national emergency on 19 March 2020. This study examined daily hospital admissions to our three general paediatric wards during the COVID‐19 lockdown period from 20 March to 18 April 2020. These 258 admissions were compared with the 4217 admissions from the period immediately before this, 1 February to 19 March 2020, plus 1 February to 18 April in 2018 and 2019. We also compared why patients were admitted during the study period, and any pre‐existing conditions, with 638 children hospitalised during the same period in 2019. Results: The mean number of daily hospitalisations during the COVID‐19 lockdown period was 8.6, which was 59% lower than the 20.9 recorded during the other three periods before COVID‐19. There was a significant decrease in the number of patients admitted with infectious (74%) and non‐infectious (44%) aetiologies from 2019 to 2020, and these occurred among patients with (58%), and without (55%), pre‐existing medical conditions. Conclusion: The Israeli COVID‐19 lockdown had a dramatic effect on admissions to the paediatric wards of a tertiary hospital. [ABSTRACT FROM AUTHOR]

Understanding the clinical risk factors for COVID-19 disease severity and outcomes requires a combination of data from electronic health records and patient reports. To facilitate the collection of patient-reported data, as well as accelerate and standardize the collection of data about host factors, we have constructed a COVID-19 survey. This survey is freely available to the scientific community to send electronically for patients to complete online. This patient survey is designed to be comprehensive, yet not overly burdensome, to gather data useful for a range of clinical investigations, and to accommodate a wide variety of implementation settings including at a COVID-19 testing site, at home during infection or after recovery, and/or for individuals while they are hospitalized. A widely adopted standardized survey that can be implemented online with minimal resources can serve as a critical tool for combining and comparing data across studies to improve our understanding of COVID-19 disease. [ABSTRACT FROM AUTHOR]

Abstract Background The cost of rural health continues to be high in the United States despite an overall improvement in national health insurance enrolment. Stakeholder’s perception of adverse selection remains a paramount culprit in the challenges of rural insurance markets. Risk attitude has been revealed as an alternative for measuring this phenomenon, given the 2014 prohibition law on pre-existing conditions and a subsequent repeal in 2018 accompanied by extensive debate among congress. We examine the existence of adverse selection in rural insurance markets by comparing the effects of pre-existing or chronic health conditions and risk attitudes in a Principal-Agent model. Results Using multinomial logit and complementary log-log binomial link models in a Principal-Agent framework, our results indicate that there is adverse selection in rural health insurance markets if pre-existing conditions are considered, but risk attitudes yield contrary effects. Conclusions The major policy implication from this study is that respondents who have pre-existing/chronic conditions tend to patronise health insurance with a higher probability than other counterparts and therefore insurers are likely to incur losses given the law on pre-existing conditions as private information. The 2018 law on the exclusion of individuals with pre-existing conditions may be beneficial to the insurance companies at the expense of the populace. Hence, we suggest that market incentive-based programs should be encouraged to minimize rural health uninsurance.

Little is known about the impact of the coronavirus pandemic and control measures on gay, bisexual, and other men who have sex with men (GBMSM) couples. The goal of this study was to investigate individual-level relationship satisfaction during the COVID-19 pandemic in a sample of 209 coupled GBMSM in the United States. We analyzed reported happiness and feelings about a relationship's future and assessed the odds of changing relationship happiness and investment associated with pandemic-related life changes (pandemic-related employment change; COVID-19 illness; high-risk of severe illness), using logistic and multinomial logit models. Fifty-five percent of participants (N = 114) reported that their relationship happiness had not changed during the pandemic, but 30% (N = 62) reported increased relationship happiness. 25% (N = 53) reported they had become more invested in their relationship's future during the pandemic, and only one participant reported decreased investment. The odds of increased relationship investment was significantly associated with pandemic-related employment change (adjusted odds ratio (aOR), 95% confidence interval (CI): 2.19 [1.04, 4.61]) and increased sex during the pandemic (aOR: 4.38 [1.55, 12.41]). Those with a pandemic-related employment change also had significantly higher odds of increased relationship happiness than those without a change (aOR: 2.10 [1.01, 4.35]). COVID-19 cases that reported being at higher risk of serious COVID-19 disease had higher odds of decreased relationship happiness than high-risk non-cases (aOR: 6.58 [1.10, 39.39]). Additional research in this area is warranted to minimize the long-term impacts of the pandemic on coupled GBMSM. [ABSTRACT FROM AUTHOR]

Understanding the clinical risk factors for COVID-19 disease severity and outcomes requires a combination of data from electronic health records and patient reports. To facilitate the collection of patient-reported data, as well as accelerate and standardize the collection of data about host factors, we have constructed a COVID-19 survey. This survey is freely available to the scientific community to send electronically for patients to complete online. This patient survey is designed to be comprehensive, yet not overly burdensome, to gather data useful for a range of clinical investigations, and to accommodate a wide variety of implementation settings including at a COVID-19 testing site, at home during infection or after recovery, and/or for individuals while they are hospitalized. A widely adopted standardized survey that can be implemented online with minimal resources can serve as a critical tool for combining and comparing data across studies to improve our understanding of COVID-19 disease.

Chronic diseases and preexisting conditions shape daily life for many archaeologists both in and out of the field. Chronic issues, however, can be overlooked in safety planning, which more often focuses on emergency situations because they are considered mundane, or they are imperceptible to project directors and crews until a serious problem arises. This article focuses on asthma, diabetes, and depression as common medical conditions that impact otherwise healthy archaeologists during fieldwork, with the goal of raising awareness of these conditions in particular, and the need to be more attentive to chronic diseases in general. Archaeological fieldwork presents novel situations that put those with chronic diseases and preexisting conditions at risk: environmental hazards, remoteness from medical and social resources and networks, lack of group awareness, and varying cultural norms. As a result, if chronic diseases are not attended to properly in the field, they can lead to life-threatening situations. Managing the risk presented by these conditions requires a group culture where team members are aware of issues, as appropriate, and collaborate to mitigate them during fieldwork. Descriptions of how chronic diseases affect archaeologists in the field are followed by "best practice" recommendations for self-management and for group leaders. [ABSTRACT FROM AUTHOR]

• An unbiased analysis of 974 diseases revealed new risk factors of severe COVID-19. • Delirium, dementia, amnestic, and other cognitive disorders increase its risk. • Genetic variants in SARS‑CoV‑2 infection genes are associated with severe COVID-19. • There is an urgent need for special dementia care during the pandemic. Our understanding of risk factors for COVID‑19, including pre-existing medical conditions and genetic variations, is limited. To what extent the pre-existing clinical condition and genetic background have implications for COVID-19 still needs to be explored. Our study included 389,620 participants of European descent from the UK Biobank, of whom 3,884 received the COVID-19 test and 1,091 were tested positive for COVID-19. We examined the association of COVID-19 status with an extensive list of 974 medical conditions and 30 blood biomarkers. Additionally, we tested the association of genetic variants in two key genes related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2), with COVID-19 or any other phenotypes. The most significant risk factors for COVID-19 include Alzheimer's disease (OR = 2.29, 95% CI: 1.25–4.16), dementia (OR = 2.16, 95% CI: 1.36–3.42), and the overall category of delirium, dementia, amnestic and other cognitive disorders (OR = 1.90, 95% CI: 1.24–2.90). Evidence suggesting associations of genetic variants in SARS-CoV-2 infection-related genes with COVID-19 (rs7282236, OR = 1.33, 95% CI: 1.14–1.54, p = 2.31 × 10−4) and other phenotypes, such as an immune deficiency (p = 5.65 × 10−5) and prostate cancer (p = 1.1 × 10−5), was obtained. Our unbiased and extensive search identified pre-existing Alzheimer's disease and dementia as top risk factors for hospital admission due to COVID-19, highlighting the importance of providing special protective care for patients with cognitive disorders during this pandemic. We also obtained evidence suggesting a direct association of genetic variants with COVID-19. [ABSTRACT FROM AUTHOR]

This article analyzes the relevant aspects regarding the content of the crime of concealment, a crime that endangers the social values regarding the administration of justice and patrimony. The study also includes relevant examples from judicial practice regarding the constitutive content of this crime. There are also analyzed the main elements that distinguish the crime of concealment from the crime of money laundering and that of favoring the perpetrator. [ABSTRACT FROM AUTHOR]

In 1985, the American Society of Anesthesiologists initiated a quality improvement closed claims analysis project for anesthetic injury to elevate patient safety. To date, there have been a total of 8954 documented claims, describing injuries contracted under sedation, regional anesthesia, or failure to attend to a patient's post-operative needs. The Closed Claims database reveals that the most highly documented health care complications were a loss of life at 2%, nerve injuries at 2%, and damage to the brain at 9%. The highest documented cases of damage from anesthesia involved regional-block-related events at 20%, followed by respiratory-related adverse effects at 17%, cardiovascular-related events at 13%, together with apparatus-linked events at 10%. Injury may result from several causes. First, multiple techniques and interventions are used during surgery, and all have potential adverse effects. Additionally, many patients scheduled for surgery have extensive past medical histories and medical comorbidities, thereby increasing their baseline risk for injury. From the Closed Claims database, improved evaluation of clinical-related implications linked to injuries within the handling of airway, sedation, non-operational room locales, obstetric anesthesia, along with chronic pain management. In summary, anesthesia departments should review outcomes of their patients on a routine basis. Assessing factors when an adverse outcome occurs may allow for changes in techniques or other anesthesia considerations to help lessen or prevent future complications., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Ageing of the global population represents a challenge for national healthcare systems and healthcare professionals, including medico-legal experts, who assess personal damage in an increasing number of older people. Personal damage evaluation in older people is complex, and the scarcity of evidence is hindering the development of formal guidelines on the subject. The main objectives of the first multidisciplinary Consensus Conference on Medico-Legal Assessment of Personal Damage in Older People were to increase knowledge on the subject and establish standard procedures in this field. The conference, organized according to the guidelines issued by the Italian National Institute of Health (ISS), was held in Bologna (Italy) on June 8, 2019 with the support of national scientific societies, professional organizations, and stakeholders. The Scientific Technical Committee prepared 16 questions on 4 thematic areas: (1) differences in injury outcomes in older people compared to younger people and their relevance in personal damage assessment; (2) pre-existing status reconstruction and evaluation; (3) medico-legal examination procedures; (4) multidimensional assessment and scales. The Scientific Secretariat reviewed relevant literature and documents, rated their quality, and summarized evidence. During conference plenary public sessions, 4 pairs of experts reported on each thematic area. After the last session, a multidisciplinary Jury Panel (15 members) drafted the consensus statements. The present report describes Conference methods and results, including a summary of evidence supporting each statement, and areas requiring further investigation. The methodological recommendations issued during the Conference may be useful in several contexts of damage assessment, or to other medico-legal evaluation fields. [ABSTRACT FROM AUTHOR]

Previous consensus statements on sports concussion have highlighted the importance of Attention Deficit Hyperactivity Disorder (ADHD) and loss of consciousness (LOC) as risk factors related to concussion management. The present study investigated how self-reported history of either ADHD diagnosis or history of previous concussion resulting in LOC influence baseline neurocognitive performance and self-reported symptoms. This analysis was performed retrospectively on data collected primarily from student-athletes, both Division 1 and club sports athletes. The dataset (n = 1460) is comprised of college students (age = 19.1 ± 1.4 years). Significant differences were found for composite scores on the ImPACT for both history of concussion (p = 0.016) and ADHD (p = 0.014). For concussion history, those with a previous concussion, non-LOC, performed better on the visual motor speed (p = 0.004). Those with diagnosis of ADHD performed worse on verbal memory (p = 0.001) and visual motor speed (p = 0.033). For total symptoms, concussion history (p < 0.001) and ADHD (p = 0.001) had an influence on total symptoms. Those with ADHD reported more symptoms for concussion history; those with previous LOC concussion reported more symptoms than those with non-LOC concussion (p = 0.003) and no history (p < 0.001). These results highlight the importance of baseline measures of neurocognitive function and symptoms in concussion management in order to account for pre-existing conditions such as ADHD and LOC from previous concussion that could influence these measures.

Previous consensus statements on sports concussion have highlighted the importance of Attention Deficit Hyperactivity Disorder (ADHD) and loss of consciousness (LOC) as risk factors related to concussion management. The present study investigated how self-reported history of either ADHD diagnosis or history of previous concussion resulting in LOC influence baseline neurocognitive performance and self-reported symptoms. This analysis was performed retrospectively on data collected primarily from student-athletes, both Division 1 and club sports athletes. The dataset (n = 1460) is comprised of college students (age = 19.1 ± 1.4 years). Significant differences were found for composite scores on the ImPACT for both history of concussion (p = 0.016) and ADHD (p = 0.014). For concussion history, those with a previous concussion, non-LOC, performed better on the visual motor speed (p = 0.004). Those with diagnosis of ADHD performed worse on verbal memory (p = 0.001) and visual motor speed (p = 0.033). For total symptoms, concussion history (p < 0.001) and ADHD (p = 0.001) had an influence on total symptoms. Those with ADHD reported more symptoms for concussion history; those with previous LOC concussion reported more symptoms than those with non-LOC concussion (p = 0.003) and no history (p < 0.001). These results highlight the importance of baseline measures of neurocognitive function and symptoms in concussion management in order to account for pre-existing conditions such as ADHD and LOC from previous concussion that could influence these measures. [ABSTRACT FROM AUTHOR]

Objectives: Individual differences in long-term psychosocial functioning after concussions in children and adolescents are poorly understood. The aim of the study was to investigate potential predictors of long-term psychosocial functioning and health-related quality of life in youth after prior concussion. Methods: Participants (N=75; mean age=14.3 years old; 52% girls) with one prior concussion (n=24), multiple prior concussions (n=24), or a prior orthopedic injury and no concussion (n=27) were seen on average 2.7 years after their most recent injury. Psychosocial functioning was assessed using the self-report versions of the Behavior Assessment System for Children (BASC-2; Anxiety and Depression scales only), the Strengths and Difficulties Questionnaire, and the Pediatric Quality of Life Inventory TM 4.0. Pre-existing conditions (attention problems, learning difficulties, mood concerns, anxiety concerns, and migraines) were reported by parents using a checklist and examined as predictors of long-term functioning. Other potential predictors included age at testing, sex, time between most recent injury and testing, and number of prior concussions. Results: The groups did not differ significantly on long-term psychosocial functioning. Moreover, only pre-existing mood concerns or attention problems significantly predicted psychosocial adjustment. Conclusions: Children’s functioning before a concussion is critical to understanding outcome. Pre-injury attention and mood concerns should be assessed in clinical settings to prevent and treat long-term psychosocial problems after concussion. (JINS, 2018, 24, 540–548) [ABSTRACT FROM AUTHOR]

Background: Businesses increasingly conduct operations in remote areas where medical evacuation [Medevac(s)] carries more risk. Royal Dutch Shell developed a remote healthcare strategy whereby enhanced remote healthcare is made available to the patient through use of telemedicine and telemetry. To evaluate that strategy, a review of Medevacs of Shell International employees [i.e. expatriate employees (EEs) and frequent business travellers (FBTs)] was undertaken.Method: A retrospective review of Medevac data (period 2008-12) that were similar in operational constraints and population profile was conducted. Employee records and Human Resource data were used as a denominator for the population. Analogous Medevac data from specific locations were used to compare patterns of diagnoses.Results: A total of 130 Medevacs were conducted during the study period, resulting in a Medevac rate of 4 per 1000 of population with 16 per 1000 for females and 3 per 1000 for males, respectively. The youngest and oldest age-groups required Medevacs in larger proportions. The evacuation rates were highest for countries classified as 'high' or 'extreme risk'. The most frequent diagnostic categories for Medevac were: trauma, digestive, musculoskeletal, cardiac and neurological. In 9% of the total, a strong to moderate link could be made between the pre-existing medical condition and diagnosis leading to Medevac.Conclusion: This study uniquely provides a benchmark Medevac rate (4 per 1000) for EEs and FBTs and demonstrates that Medevac rates are highest from countries identified as 'high risk'; there is an age and gender bias, and pre-existing medical conditions are of notable relevance. It confirms a change in the trend from injury to illness as a reason for Medevac in the oil and gas industry and demonstrates that diagnoses of a digestive and traumatic nature are the most frequent. A holistic approach to health (as opposed to a predominant focus on fitness to work), more attention to female travellers, and the application of modern technology and communication will reduce the need for Medevacs. [ABSTRACT FROM AUTHOR]

Most studies portray cluster knowledge bases as a given resource, tied to specific industries and locations. However, this paper challenges that view and uncovers their dynamic nature by identifying endogenous and exogenous triggering events that influence and change the cluster knowledge base mix over time. This is done by building on the theoretical concepts of preexisting conditions, triggering events and knowledge bases and by drawing on a case study of the design cluster located in the Triangle Area of Denmark. The paper concludes that the design cluster has changed its mix of knowledge bases several times during its evolution. Starting out as a firm-driven cluster with a dominant synthetic knowledge base, it then evolved into an artistic and creative cluster with a prevailing symbolic knowledge base. In the last few years, the cluster has increasingly adopted an analytical knowledge base at the expense of other knowledge bases. These developments have caused numerous changes in both knowledge building and the sources of knowledge in and around the cluster. These findings have implications for the framing of cluster knowledge bases, considering how they emerge, change and combine, as well as how that affects clusters' composition of actors, activities and resources. [ABSTRACT FROM AUTHOR]

Purpose: To examine practicing oncologists' perceived confidence and attitudes toward management of pre-existing chronic conditions(PECC) during active cancer treatment(ACT)., Methods: In December 2018, oncologists in the National Cancer Institute's Community Oncology Research Program (NCORP) were invited to complete a was pilot-tested, IRB-approved online survey about their perceived confidence in managing PECC. Pearson chi-square test was used to identify oncologists' differences in perceived confidence to manage PECC and attitudes toward co-management of patients' PECC with non-oncologic care providers. Perceived confidence and attitudes were analyzed as a function of medical specialty while controlling demographic and medical practice variables., Results: A total of 391 oncologists responded to the survey, 45.8% stated medical oncology as their primary specialty, 15.1% hematology oncology, 15.1% radiation oncology, 6.9% surgical oncology, and 17.1% other specialties such as gynecology oncology. Overall, 68.3% agreed (agree/strongly agree) that they were confident to manage PECC in the context of standard of care. However, only 46.6% and 19.7% remained confident when managing PECC previously managed by a primary care physician (PCP) and by a non-oncology subspecialist, respectively. Most oncologists (58.3%) agreed that patients' overall care was well coordinated, and 63.7% agreed that patients had optimal cancer and non-cancer care when PECC was co-managed with a non-oncology care provider., Conclusion: Most oncologists felt confident to manage all PECC during patients' ACT, but their perceived confidence decreased for PECC previously managed by PCPs or by non-oncology subspecialists. Additionally, they had positive attitudes toward co-management of PECC with non-oncologic care providers. These results indicate opportunities for greater collaboration between oncologists and non-oncology care providers to ensure comprehensive and coordinated care for cancer patients with PECC., Competing Interests: Declaration of Competing Interest None., (Copyright © 2023 National Medical Association. All rights reserved.)