Pre-existing Health Conditions Research Articles

Long COVID Is Not a Functional Neurologic Disorder.

Long COVID is a common sequela of SARS-CoV-2 infection. Data from numerous scientific studies indicate that long COVID involves a complex interaction between pathophysiological processes. Long COVID may involve the development of new diagnosable health conditions and exacerbation of pre-existing health conditions. However, despite this rapidly accumulating body of evidence regarding the pathobiology of long COVID, psychogenic and functional interpretations of the illness presentation continue to be endorsed by some healthcare professionals, creating confusion and inappropriate diagnostic and therapeutic pathways for people living with long COVID. The purpose of this perspective is to present a clinical and scientific rationale for why long COVID should not be considered as a functional neurologic disorder. It will begin by discussing the parallel historical development of pathobiological and psychosomatic/sociogenic diagnostic constructs arising from a common root in neurasthenia, which has resulted in the collective understandings of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and functional neurologic disorder (FND), respectively. We will also review the case definition criteria for FND and the distinguishing clinical and neuroimaging findings in FND vs. long COVID. We conclude that considering long COVID as FND is inappropriate based on differentiating pathophysiologic mechanisms and distinguishing clinical findings.

Impact of COVID-19 Disease on the Development of Osteomyelitis of Jaws: A Systematic Review.

Background/Objectives: Osteomyelitis is characterized by an inflammatory process affecting both bone and bone marrow, leading to cell death and the formation of bone sequestrum. Recent literature from the past five years has documented instances of osteomyelitis following infections of SARS-CoV-2. This systematic review explores the link between osteomyelitis of the jaw (OMJ) and COVID-19 infections. Methods: This review adhered to the PRISMA guidelines, systematically analyzing literature from 2020 to 2024 sourced from databases including Medline, Embase, Scopus, and Web of Science. PROSPERO ID: CRD42024526257. Results: The review selected 42 articles, detailing 201 cases of osteomyelitis of the jaw related to COVID-19 (COMJ). The demographic breakdown included 195 male (74.4%) and 67 female patients (25.6%), with a median age of 52.7 years, ranging from 24 to 71 years. A significant portion of COMJ patients (41.5%) were hospitalized due to COVID-19, and 58.5% received corticosteroid therapy. Diabetes mellitus was a common comorbidity among COMJ patients (65.1%). Most cases involved maxilla (182 cases; 90.5%), with nearly half showing sinus involvement (49.4%). The mandible was affected in 19 cases (9.5%). Mucormycosis and aspergillosis emerged as the predominant fungal infections, identified in 103 (51.2%) and 50 (24.9%) cases, respectively. Conclusions: Individuals with pre-existing health conditions such as diabetes mellitus who have been treated for COVID-19 are at an increased risk of developing OMJ, particularly maxillary fungal osteomyelitis. COMJ poses a significant diagnostic and therapeutic challenge for dental and maxillofacial professionals, who are often the first to encounter these cases.

The 90-Day Risk of Hospitalization in Heart Transplant Recipients After COVID-19 Infection

BackgroundHeart transplant recipients are at a high-risk of complications from the coronavirus-2019 (COVID-19) infection. Heart transplant recipients are a special group of persistently immunosuppressed people, and COVID-19 may cause them to experience an unpredictable course of infection, with a risk of hospitalization occurring well beyond their initial infection period. The seriousness of COVID-19 disease in heart transplant recipients emphasizes how vital it is to refer patients promptly and early to specialized heart transplant centers. MethodsWe retrospectively reviewed all heart transplant recipients at a single center between March 2019 and October 2021. All recipients with positive nasopharyngeal reverse transcriptase-polymerase chain reaction tests for COVID-19 were included in this study. After IRB approval, we obtained medical records and patient data from electronic medical records. ResultsThis study followed 126 heart transplant patients from March 2019 to October 2021 of which only 49 had COVID-19 infections. The median age at infection was 58 years (49-65), with 41% female. Race distribution was as follows: 59% Caucasian and 39% African American. The median time from transplant to infection was 384 days (237-677). All infected patients had a 50% dose reduction in mycophenolate mofetil per institutional protocol. The majority of symptoms were cough, fatigue, shortness of breath, and fever. Among all patients with COVID-19, 45 (92%) were vaccinated. Of those vaccinated, 27 (60%) patients received Pfizer initial and booster doses, whereas 18 (40%) received Moderna initial and booster doses. Twelve patients (24%) were hospitalized within 90 days of infection, with only two requiring ICU level of care. The median duration of hospitalization was 5 days (4-9). Of the hospitalized patients, 11 (92%) were discharged, and 1 (8%) died in the hospital. Three of the four unvaccinated patients were hospitalized, and one died while hospitalized. The remaining 37 patients were managed as outpatients. ConclusionHeart transplant recipients have an increased risk of contracting COVID-19 and developing severe symptoms due to multiple healthcare contacts, preexisting health conditions, and weakened immune systems. Our data highlight that most vaccinated patients do not require hospitalization within 90 days of infection, and those hospitalized have a high likelihood of survival without needing ICU care.

The influence of prior COVID-19 diagnosis on concussion recovery outcomes.

While the clinical presentations of COVID-19 and concussion are not identical, there is a significant overlap in symptomology (e.g., fatigue, headache) and neurological deficits (e.g., cognitive, vestibular). However, limited research has examined the effect of prior COVID-19 diagnosis on concussion outcomes. Therefore, the purpose of this study was to determine if prior diagnosis of COVID-19 influences concussion outcomes, including concussion assessment scores and recovery time, in college-aged individuals. A prospective study of college-aged individuals (COVID-19: n = 43, mean age 21.3 [SD 2.5] years; no COVID-19: n = 51, mean age 21.0 [SD 2.5] years) diagnosed with concussion was conducted. Demographics, injury details, the Sport Concussion Assessment Tool 5th Edition (SCAT5), and the Vestibular/Ocular Motor Screening (VOMS) were completed at the acute (within 5 days after concussion) and full medical clearance (FMC) (within 3 days after FMC) visits. Mann-Whitney U-tests determined differences in concussion outcomes between groups. Cox proportional hazards regression models were fitted to assess the relationship between factors associated with concussion symptom resolution and days to FMC, and covariates were selected based on previous literature indicating potential confounds (e.g., female sex, acute symptom severity, preexisting mental health conditions). Hazard ratios with 95% confidence intervals were reported for each predictor variable. No significant differences were found between groups for SCAT5 and VOMS composite and total scores. Significant differences were found between COVID-19 and no-COVID-19 groups in days to symptom resolution (11.5 days vs 8 days, p = 0.021), but not in days to FMC (14 days vs 12 days, p = 0.099). The association between COVID-19 groups and days to clearance was not significant when adjusting for sex, race, history of depression/anxiety, and total number of concussion symptoms at the acute visit [χ2(5) = 8.349, p = 0.138]. However, male sex (HR 2.036, 95% CI 1.033-4.014; p = 0.040) was associated with a quicker time to FMC. Prior COVID-19 diagnosis did not influence cognitive abilities and vestibular/ocular functioning as measured by the SCAT5 and VOMS postconcussion. While prior COVID-19 diagnosis did result in a significantly longer duration to symptom resolution when compared with individuals who did not have a prior COVID-19 diagnosis, prior COVID-19 did not significantly influence time to FMC by a healthcare provider. Clinicians should consider that individuals with a prior diagnosis of COVID-19 might experience prolonged symptoms postconcussion.

Evaluating the Societal Impact of Climate Change on Mental Health: Heat-Related Stress, Anxiety, and Depression in Vulnerable Populations

Climate change is increasingly recognized as a significant threat to mental health, particularly affecting vulnerable populations. This study investigates the impact of climate change-induced heat on mental health outcomes, focusing on stress, anxiety, and depression. Additionally, qualitative interviews provided in-depth insights into the lived experiences of individuals coping with heat-related stress. Our findings reveal a strong correlation between rising temperatures and increased instances of anxiety and depression, with marginalized communities, such as the elderly, low-income individuals, and those with pre-existing health conditions, exhibiting heightened vulnerability. The physiological strain of heat, compounded by socioeconomic and environmental factors, exacerbates mental health issues, leading to a cyclical pattern of distress. The study highlights the necessity for targeted public health interventions, emphasizing the development of adaptive strategies to mitigate the mental health impacts of heat. Furthermore, integrating mental health support into climate adaptation strategies is crucial for building resilience and ensuring that vulnerable populations receive the necessary resources to manage both the psychological and physical impacts of heatwaves By addressing the intersection of environmental and mental health crises, we advocate for comprehensive support systems to enhance resilience in vulnerable populations. This study contributes to the growing body of evidence on the far-reaching effects of climate change, advocating for proactive measures to safeguard mental well-being in an era of escalating environmental challenges.

The association between systemic immune-inflammation index and cardiotoxicity related to 5-Fluorouracil in colorectal cancer

Background and aimsThe cardiotoxicity related to 5-Fluorouracil (5-FU) in cancer patients has garnered widespread attention. The systemic immune-inflammation index (SII) has recently been identified as a novel predictive marker for the development of cardiovascular illnesses in individuals without pre-existing health conditions. However, it remains unclear whether the levels of SII are linked to cardiotoxicity related to 5-FU. This retrospective study aims to fill this knowledge gap by examining the correlation between SII and cardiotoxicity related to 5-FU in a colorectal cancer cohort.MethodsThe study comprised colorectal cancer patients who received 5-FU-based chemotherapy at the affiliated cancer hospital of Guizhou Medical University between January 1, 2018 and December 31, 2020. After adjustment for confounders and stratification by tertiles of the interactive factor, linear regression analyses, curve fitting and threshold effect analyses were conducted.ResultsOf the 754 patients included final analysis, approximately 21% (n = 156) of them ultimately experienced cardiotoxicity related to 5-FU. Monocytes (M) was found as an influential element in the interaction between SII and cardiotoxicity related to 5-FU. In the low tertile of M (T1: M ≤ 0.38 × 109/L), increasing log SII was positively correlated with cardiotoxicity related to 5-FU (Odds Ratio [OR], 8.04; 95% confidence interval [95%CI], 1.68 to 38.56). However, a curvilinear relationship between log SII and cardiotoxicity was observed in the middle tertile of M (T2: 0.38 < M ≤ 0.52 × 109/L). An increase in log SII above 1.37 was shown to be associated with a decreased risk of cardiotoxicity (OR, 0.14; 95%CI, 0.02 to 0.88), indicating a threshold effect. In the high tertile of M (T3: M > 0.52 × 109/L), there was a tendency towards a negative linear correlation between the log SII and cardiotoxicity was observed (OR, 0.85; 95%CI, 0.37 to 1.98).ConclusionOur findings suggest that SII may serve as a potential biomarker for predicting cardiotoxicity related to 5-FU in colorectal cancer patients. SII is an independent risk factor for cardiotoxicity related to 5-FU with low monocytes levels (T1). Conversely, in the middle monocytes levels (T2), SII is a protective factor for cardiotoxicity related to 5-FU but with a threshold effect.

Comparative analysis of prognostic scoring systems in predicting severity and outcomes of Omicron variant COVID-19 pneumonia.

The global spread of Coronavirus Disease 2019 (COVID-19) underscores the urgent need for reliable methods to forecast the disease's severity and outcome, thereby facilitating timely interventions and reducing mortality rates. This study focuses on evaluating the clinical and laboratory profiles of patients with Omicron variant-induced COVID-19 pneumonia and assessing the efficacy of various scoring systems in prognosticating disease severity and mortality. In this retrospective analysis, we examined the clinical records of 409 individuals diagnosed with Omicron variant COVID-19 pneumonia. We documented the Pneumonia Severity Index, CURB-65, and MuLBSTA scores within the first 24 h and analyzed the sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristic curve for each scoring system to ascertain their predictive accuracy for disease severity and fatality risk. The cohort's median age was 78 years, predominantly presenting with fever, cough, expectoration, fatigue, and gastrointestinal symptoms. Factors such as expectoration, fatigue, Glasgow Coma Scale score, lactate dehydrogenase levels, procalcitonin, creatinine levels, and co-occurrence of acute respiratory distress syndrome were identified as independent predictors of disease severity. Furthermore, age, oxygenation index, glucose levels, lactate dehydrogenase, and septic shock were independently associated with mortality. For severe disease prediction, the CURB-65, PSI, and MuLBSTA scores demonstrated sensitivities of 65.9%, 63.8%, and 79.7%, respectively, with specificities of 63.8%, 76.8%, and 60.9%, and AUROCs of 0.707, 0.750, and 0.728. To predict mortality risk, these scores at cutoffs of 1.5, 102.5, and 12.5 exhibited sensitivities of 83.3%, 96.3%, and 70.4%, specificities of 59.4%, 60.8%, and 65.4%, and AUROCs of 0.787, 0.850, and 0.736, respectively. The study cohort predominantly comprised elderly individuals with pre-existing health conditions. Elevated lactate dehydrogenase emerged as a significant marker for both disease severity and prognosis, sputum production, gastrointestinal symptoms, GCS score, creatinine, PCT, and ARDS as independent predictors of disease severity, and age, oxygenation index, glucose levels, and septic shock as independent mortality predictors in COVID-19 pneumonia patients. Among the scoring systems evaluated, Pneumonia Severity Index demonstrated superior predictive capability for both disease severity and mortality, suggesting its utility in forecasting the clinical outcomes of Omicron variant COVID-19 pneumonia.

CO205 Impact of GLP-1A Treatment on Eating Disorder Incidence: A Comparative, Real World Data Study in Patients With and Without Pre-Existing Mental Health Conditions

CO205 Impact of GLP-1A Treatment on Eating Disorder Incidence: A Comparative, Real World Data Study in Patients With and Without Pre-Existing Mental Health Conditions

COVID-19 Infection in Autosomal Dominant Polycystic Kidney Disease and Chronic Kidney Disease Patients: Progression of Kidney Disease.

the COVID-19 pandemic has brought to light the intricate interplay between viral infections and preexisting health conditions. In the field of kidney diseases, patients with Autosomal Dominant Polycystic Kidney Disease (ADPKD) and Chronic Kidney Disease (CKD) face unique challenges when exposed to the SARS-CoV-2 virus. This study aims to evaluate whether SARS-CoV-2 virus infection impacts renal function differently in patients suffering from ADPKD and CKD when compared to patients suffering only from CKD. clinical data from 103 patients were collected and retrospectively analyzed. We compared the renal function of ADPKD and CKD patients at two distinct time points: before COVID-19 infection (T0) and 1 year after the infection (T1). We studied also a subpopulation of 37 patients with an estimated glomerular filtration rate (eGFR) < 60 mL/min and affected by ADPKD and CKD. clinical data were obtained from 59 (57.3%) ADPKD patients and 44 (42.7%) CKD patients. At T1, ADPKD patients had significantly higher serum creatinine levels compared to CKD patients, and a significantly lower eGFR was observed only in ADPKD patients with eGFR < 60 mL/min compared to CKD patients (p < 0.01, p < 0.05; respectively). Following COVID-19 infection, ADPKD-CKD patients exhibited significantly higher variation in both median serum creatinine (p < 0.001) and median eGFR (p < 0.001) compared to CKD patients. the interplay between COVID-19 and kidney disease is complex. In CKD patients, the relationship between COVID-19 and kidney disease progression is more established, while limited studies exist on the specific impact of COVID-19 on ADPKD patients. Current evidence does not suggest that ADPKD patients are at a higher risk of SARS-CoV-2 infection; however, in our study we showed a significant worsening of the renal function among ADPKD patients, particularly those with an eGFR < 60 mL/min, in comparison to patients with only CKD after a one-year follow-up from COVID-19 infection.

The cumulative impact of trauma, chronic illness, and COVID-19 stress on mental health in a case-control study of adults with psychotic disorders in Ethiopia

BackgroundThe COVID-19 pandemic has profoundly impacted the economic, psychological, and social well-being of people in Ethiopia. Pandemic-related fears can exacerbate anxiety and depression symptoms among those with pre-existing physical and mental health conditions as well as those with prior exposure to traumatic events. MethodsWe used data from the Ethiopia NeuroGAP-Psychosis study (898 cases and 941 controls with and without a diagnosis of psychosis respectively, 66% male, mean age = 37 years). Data was collected between November 2021 and June 2022 during the COVID-19 pandemic from four hospitals in Ethiopia (three in Addis Ababa and one in Jimma city). Structural equation modeling analysis was conducted to examine the associations between trauma exposure, physical health conditions (like arthristis, neurological disorders, diabetes), COVID-19 stress, and psychological distress (depression and anxiety symptoms). We assessed direct and indirect effects for mediation, and conducted multigroup analysis to examine moderation by case control status. ResultsWe found evidence that the impact of greater trauma exposure and physical health conditions on higher psychological distress was mediated through higher COVID-19 stress. Sociodemographic characteristics (older age and being maried) were associated with higher psychological distress, with these associations mediated through greater trauma, physical health conditions, and COVID-19 stress. Case-control status also moderated the associations between these variables, with the mediation effects being stronger in cases and weaker in controls. Further, cases reported greater trauma and psychological distress, while controls reported more physical health conditions and COVID-19 stress. ImplicationsOur findings uniquely assess the interaction of health and emergency related factors in understudied settings like Ethiopia. They underscore the importance of including daily hardships and environmental stressors, along with prior trauma exposure, as risk factors for the assessment of mental health symptoms. This study has key implications for mental health screening and intervention research in response to complex emergency contexts like Ethiopia with a history of armed conflict in addition to the COVID-19 pandemic. Our findings can aid the development of targeted services that address the mental health of at-risk groups with pre-existing mental and physical health conditions.

Socioeconomic and sociodemographic correlations to COVID-19 variability in the United States in 2020.

The COVID-19 pandemic provided an additional spotlight on the longstanding socioeconomic/health impacts of redlining and has added to the myriad of environmental justice issues, which has caused significant loss of life, health, and productive work. The Centers for Disease Control and Prevention (CDC) reports that a person with any selected underlying health conditions is more likely to experience severe COVID-19 symptoms, with more than 81% of COVID-19-related deaths among people aged 65 years and older. The effects of COVID-19 are not homogeneous across populations, varying by socioeconomic status, PM2.5 exposure, and geographic location. This variability is supported by analysis of existing data as a function of the number of cases and deaths per capita/1,00,000 persons. We investigate the degree of correlation between these parameters, excluding health conditions and age. We found that socioeconomic variables alone contribute to ~40% of COVID-19 variability, while socioeconomic parameters, combined with political affiliation, geographic location, and PM2.5 exposure levels, can explain ~60% of COVID-19 variability per capita when using an OLS regression model; socioeconomic factors contribute ~28% to COVID-19-related deaths. Using spatial coordinates in a Random Forest (RF) regressor model significantly improves prediction accuracy by ~120%. Data visualization products reinforce the fact that the number of COVID-19 deaths represents 1% of COVID-19 cases in the US and globally. A larger number of democratic voters, larger per-capita income, and age >65 years is negatively correlated (associated with a decrease) with the number of COVID cases per capita. Several distinct regions of negative and positive correlations are apparent, which are dominated by two major regions of anticorrelation: (1) the West Coast, which exhibits high PM2.5 concentrations and fewer COVID-19 cases; and (2) the middle portion of the US, showing mostly high number of COVID-19 cases and low PM2.5 concentrations. This paper underscores the importance of exercising caution and prudence when making definitive causal statements about the contribution of air quality constituents (such as PM2.5) and socioeconomic factors to COVID-19 mortality rates. It also highlights the importance of implementing better health/lifestyle practices and examines the impact of COVID-19 on vulnerable populations, particularly regarding preexisting health conditions and age. Although PM2.5 contributes comparable deaths (~7M) per year, globally as smoking cigarettes (~8.5M), quantifying any causal contribution toward COVID-19 is non-trivial, given the primary causes of COVID-19 death and confounding factors. This becomes more complicated as air pollution was reduced significantly during the lockdowns, especially during 2020. This statistical analysis provides a modular framework, that can be further expanded with the context of multilevel analysis (MLA). This study highlights the need to address socioeconomic and environmental disparities to better prepare for future pandemics. By understanding how factors such as socioeconomic status, political affiliation, geographic location, and PM2.5 exposure contribute to the variability in COVID-19 outcomes, policymakers and public health officials can develop targeted strategies to protect vulnerable populations. Implementing improved health and lifestyle practices and mitigating environmental hazards will be essential in reducing the impact of future public health crises on marginalized communities. These insights can guide the development of more resilient and equitable health systems capable of responding effectively to similar future scenarios.

The relationship between healthcare access and change in health-related quality-of-life among the general population of five countries during the COVID-19 pandemic

PurposeTo determine whether (1) healthcare access at onset of the pandemic and (2) age, gender, socioeconomic status (SES), and pre-existing health status were associated with change in health-related quality-of-life (HRQoL) during the COVID-19 pandemic. The study includes a general population sample of five countries.MethodsAn online questionnaire was administered to respondents from Greece, Italy, the Netherlands, the UK, and the US at the onset of the COVID-19 pandemic between April 22nd and May 5th of 2020, and 1 year later between May 23rd and June 29th of 2021. The questionnaire included questions on demographic background, health status, and HRQoL. The primary outcome was change in HRQoL as measured by the EQ-5D-5L instrument. Specifically, the EQ-5D-5L index and EQ VAS were used. Healthcare access was quantified with regard to the respondent’s ease of getting an appointment, waiting time, and opportunity to contact the provider and during analysis dichotomized into “sufficient” versus “insufficient”. Linear regression analysis was performed with change in HRQoL as dependent variable and background variables as independent variables.ResultsIn total, 6,765 respondents completed the second questionnaire. 19.8% of total respondents reported insufficient healthcare access. Respondents with insufficient healthcare had both more improved and deteriorated HRQoL compared to respondents with sufficient healthcare, whose HRQoL remained unchanged. We did not find significant interactions between age, gender, SES and/or chronic disease status with healthcare access at onset of the COVID-19 pandemic.ConclusionHealthcare access was not associated with cumulative differences in change in HRQoL over a 1-year period in strata of age, gender, SES, and chronic disease status.

Racial-Ethnic Gaps in Pandemic-Related Economic Hardship: Age Differences Among Older Adults.

Racial-ethnic disparities in experiences of economic hardship during the pandemic are well documented in the population overall and among older adults. Existing research shows that this economic hardship was much less common at older than younger ages. Little is known about the intersection of racial-ethnic and age disparities in pandemic-related hardship in later life. This research report investigated racial-ethnic gaps in economic hardship by age group among older adults. Data were from the 2018 and 2020 U.S. Health and Retirement Study (HRS) including the 2020 coronavirus disease 2019 module. We estimated Heckman-corrected linear probability models to examine differences in experiences of pandemic-related economic hardship in the 2020 HRS by race-ethnicity (non-Hispanic White, non-Hispanic Black, U.S.-born Hispanic, foreign-born Hispanic) across age groups (55-64, 65-74, 75+). In the multivariable analysis, we controlled for sociodemographic characteristics, participation in social programs, pre-existing health conditions and behaviors, and economic resources from the 2018 HRS. Experiences of economic hardship declined with age within each racial-ethnic group. Racial-ethnic gaps in hardship remained at older ages without any controls. However, when all controls were added, racial-ethnic gaps in economic hardship were eliminated for those ages 75+. Individual characteristics prior to the pandemic explained racial-ethnic differences in hardship for the oldest adults (75+) but did not explain gaps for those ages 55-74. Results point to structural factors generating new racial-ethnic gaps in pandemic-related economic hardship among those approaching retirement (ages 55-74) that did not affect the oldest adults (ages 75+).

A Scoping Review of Causal Associations between Occupation and Cancer Occurrence and Legal Burden of Proof.

Occupational diseases, characterized by the gradual accumulation of work-related harmful effects over extended periods, often lack a distinct, identifiable incident causative of the disease. This ambiguity in pinpointing the work-relatedness of such diseases stems from the intricate interplay between occupational risks, workers' pathophysiological predispositions, and pre-existing health conditions, all of which evolve slowly over time. Consequently, establishing a definitive causal relationship between occupational exposure and disease manifestation becomes a pivotal, yet challenging, aspect in securing industrial accident insurance benefits. In contrast to occupational accidents, where causality is relatively more discernible, the complexity escalates in the context of occupational diseases. Typically, employers maintain the majority of data pertinent to establishing causality, but this data is frequently inadequate. Furthermore, the onus of proving the work-relatedness of a disease falls on the worker, a process that necessitates specialized medical knowledge, thereby compounding the difficulty. Imposing the burden of proof on workers in occupational disease litigation could lead to a lapse in worker protection. This paper critically explores methodologies to safeguard workers, focusing specifically on the burden of proof concerning causality in occupational diseases. This analysis aims to highlight the challenges workers face in establishing a connection between their work and disease, proposing potential legal and policy solutions to ensure more equitable and just outcomes in occupational disease claims.

COVID-19 Pandemic and Posttraumatic Growth in Residents of a Continuing Care Retirement Community: A Mixed Methods Study.

The coronavirus disease 2019 (COVID-19) pandemic impacted life for older adults living in residential settings, affecting their psychosocial well-being. Risk for COVID-19 is associated with increasing age and pre-existing health conditions. The current study aimed to describe the challenges of COVID-19 and post-traumatic growth (PTG) for residents of a continuing care retirement community (CCRC) in South Florida. A parallel mixed methods approach was used to explore the experience of older adults with PTG. Quantitative data were analyzed using descriptive statistics. Qualitative data were analyzed using content analysis to identify emergent themes. Ninety-eight older adults living in a single CCRC completed a survey. Age ranged from 67 to 99 years (mean age = 86 years), with >90% identifying as non-Hispanic White and female (78%). Using the PTG theoretical framework, experiences were categorized into five dimensions: new possibilities, relating to others, personal strength, spiritual growth, and appreciation for life. The current study focused on the challenges and growth experienced by older adults, as framed by PTG theory. Findings shed light on the capacity of this demographic, with an average age of 86 years, to overcome obstacles and achieve PTG. [Journal of Gerontological Nursing, 50(6), 25-33.].

Asylum seekers and the role of the acute care physician.

There has been a recent influx of migrants and asylum seekers to the United States. They often arrive with poor social support and an inability to access reliable health care. This can lead to overutilization of emergency departments (ED) while awaiting legal proceedings. With asylum seekers in all 50 states, it is important for emergency physicians (EP) to understand the barriers to care and difficulties asylum seekers face, and to gain tools to improve both migrants' and community health. Migration and experiences within the United States can worsen pre-existing health conditions. EPs are uniquely positioned to screen for acute pathology and link people to care. Psychiatric illnesses may present differently in asylum seekers. EPs must understand the sequalae of trauma to address it. EPs must also be aware of legal protections for asylum seekers to care for these patients, and recognize challenges faced by the population to mitigate health disparities.

Timing patterns of initial respiratory syncytial virus infection and factors influencing disease severity in hospitalized infants with different health status.

This study aimed to determine the timing patterns of the initial respiratory syncytial virus (RSV) infection and to identify the factors influencing disease severity in infants of varying health status. A retrospective study was conducted at the Affiliated Children's Hospital of Chongqing Medical University from 2012 to 2022. The timing of the first RSV infection was estimated in infants with differing health status using correlation analysis, considering their birth time. Logistic regression was utilized to identify factors influencing severe RSV infection in these infants.RSV detection primarily occurred in the winter and spring. Epidemic season and peak timing of RSV were not significantly affected by health status or the COVID-19 pandemic. A strong positive correlation was observed between the age at RSV infection and the interval from birth to the RSV peak season. Infants born during the RSV epidemic season exhibited a higher likelihood of infection within the first 2 months postbirth. In contrast, those born outside the RSV epidemic season were more susceptible to infection during the subsequent peak. Notably, infants with pre-existing health conditions contracted RSV at an earlier age compared to their healthy counterparts. Among healthy infants, severe RSV infection was associated with sex, age, and timing of infection. For infants with underlying conditions, severe RSV infection was primarily related to age and timing of infection. The initial timing of RSV infection in infants varied depending on their health status. Young age and infection timing during the RSV epidemic season were significant risk factors for severe RSV infection. These findings provide a theoretical basis for optimizing immunization strategies for infants with diverse health conditions.

Host obesity impacts genetic variation in influenza A viral populations.

Obesity is well established as a risk factor for many noncommunicable diseases; however, its consequences for infectious disease are poorly understood. Here, we investigated the impact of host obesity on influenza A virus (IAV) genetic variation using a diet-induced obesity ferret model and the A/Hong Kong/1073/1999 (H9N2) strain. Using a co-caging study design, we investigated the maintenance, generation, and transmission of intrahost IAV genetic variation by sequencing viral genomic RNA obtained from nasal wash samples over multiple days of infection. We found evidence for an enhanced role of positive selection acting on de novo mutations in obese hosts that led to nonsynonymous changes that rose to high frequency. In addition, we identified numerous cases of mutations throughout the genome that were specific to obese hosts and that were preserved during transmission between hosts. Despite detection of obese-specific variants, the overall viral genetic diversity did not differ significantly between obese and lean hosts. This is likely due to the high supply rate of de novo variation and common evolutionary adaptations to the ferret host regardless of obesity status, which we show are mediated by variation in the hemagglutinin and polymerase genes (PB2 and PB1). We also identified defective viral genomes (DVGs) that were found uniquely in either obese or lean hosts, but the overall DVG diversity and dynamics did not differ between the two groups. Our study suggests that obesity may result in a unique selective environment impacting intrahost IAV evolution, highlighting the need for additional genetic and functional studies to confirm these effects.IMPORTANCEObesity is a chronic health condition characterized by excess adiposity leading to a systemic increase in inflammation and dysregulation of metabolic hormones and immune cell populations. Influenza A virus (IAV) is a highly infectious pathogen responsible for seasonal and pandemic influenza. Host risk factors, including compromised immunity and pre-existing health conditions, can contribute to increased infection susceptibility and disease severity. During viral replication in a host, the negative-sense single-stranded RNA genome of IAV accumulates genetic diversity that may have important consequences for viral evolution and transmission. Our study provides the first insight into the consequences of host obesity on viral genetic diversity and adaptation, suggesting that host factors associated with obesity alter the selective environment experienced by a viral population, thereby impacting the spectrum of genetic variation.

Assessing heart rate fragmentation to predict atrial fibrillation in the general population aged 65

Abstract Rationale Screening the general population aged 65 for atrial fibrillation (AF) has been proposed as a preventive measure against potential complications. The dysfunction of the autonomic nervous system (ANS) plays an important role in atrial fibrillation (AF). Short-term HRV is conceptually attributed to physiologic vagal tone modulation. But recent data suggest that a component of short-term HRV, called heart rate fragmentation (HRF), is related to ANS breakdown and may be a predictor of AF occurrence. Metrics derived from heart rate variability (HRV) that depict heart rate fragmentation (HRF) have been suggested to reflect autonomic nervous system (ANS) dysfunction. Objectives To assess the predictive capacity of HRF markers for AF occurrence over an 18-year follow-up in individuals aged 65 at the study’s inspection and to develop a predictive score for AF onset. Methods A cohort study was designed to prospectively assess the predictive value of ANS activity level among general population regarding cardiovascular events and mortality. 1011 subjects aged 65 were enrolled in the study from September 2000 to December 2002. The study population had no history of AF and a low cardiovascular risk. A median follow-up of 17.8 years was managed. HRV data were acquired by 24-h Holter electrcardiogram (ECG) monitoring at baseline and assessed by frequency domain and time domain methods. Heart rate fragmentation using the percentage of inflection points (PIP) and alpha 1-index (using fractal evaluation of NN intervals) were then calculated. The study outcome was the development of AF during follow-up, defined as a standard 12-lead ECG recording or Holter recording with ≥ 30 s of AF. Results AF was diagnosed in 123 patients during the 18-year follow-up, representing a cumulative incidence of 13.4%. Using multivariate analysis, the occurrence of AF was independently predicted by the male gender (HR=1.74, 95%CI:1.16-2.63, p&amp;lt;0.01), a heart rate below 70bpm (HR=1.85, 95%CI:1.18-2.90, p&amp;lt;0.01), an increased percentage of NN intervals that differ by more than 50 ms from the previous interval (pnn50) (HR=1.69, 95%CI:1.06-2.70, p=0.03), an increased percentage of inflection points (HR=2.80, 95%CI:1.66-4.72,p&amp;lt;0.01), and a reduced alpha 1 index (HR=1.61, 95%CI:1.03-2.53, p=0.04). Given these results, a predictive score was built up based on the 4 independent predictors, ranging from 0 to 6 (Graphical Abstract). The high-risk group, defined as having a PROOF-AF score of 4 or higher, exhibited a 3.3-fold higher risk of developing AF (Figure). The PROOF-AF score demonstrated superior predictive performance compared to other available risk scores for incident AF such as CHARGE-AF score, C2HEST score, FHS score, and JMC score. Conclusion HRF parameters, included in the PROOF-AF score, may be used to identify individuals aged 65 without pre-existing health conditions who are at high-risk of developing AF and assist population screening.Graphical abstractFigure

#1466 Age- and kidney function-dependent life expectancy of patients after COVID-19

Abstract Background and Aims The life expectancy among survivors of SARS-CoV-2 infection may be influenced by age, pre-existing health conditions, and the severity of the initial infection. This study aimed to investigate the life expectancy in patients that survived the acute phase of COVID-19 and the association with kidney function. Method Survival data of 649 unvaccinated patients from our previous study “Prospective Validation of a Proteomic Urine Test for Early and Accurate Prognosis of Critical Course Complications in Patients with SARS-CoV-2 Infection” (CRIT-COV-U) [1] was collected until December 2023 in six different countries. These patients had been recruited within the first and second wave in 2020-2021 (mostly infected with wild-type virus) and had survived the acute phase of COVID-19 (CritCov-U study period 21 days after infection). The age dependent death rate in this cohort was compared to age- and sex-matched data of non-SARS-CoV-2 infected patients (n = 5192) extracted from human urinary database. The association of chronic kidney disease biomarker CKD273 with mortality was investigated in both cohorts using Kaplan-Meier analysis. Cox-regression analysis was used to assess variables associated with mortality in the COVID-19 population. Results Mortality was age dependent in both cohorts and markedly higher in patients who had survived the acute phase of COVID-19 in comparison to non-infected individuals (Fig. A-E). Within the first year after infection, mortality was up to 16.5 times higher in patients younger than 50 years in comparison to non-infected controls. Kidney status estimated by the CKD273 score was associated with a poor outcome in both COVID-19 patients and age- and sex-matched controls, respectively (Fig. F-G). The hazard ratio (HR) for mortality during the first year of follow-up for patients with the highest CKD273 score was 12.7, a huge increase in comparison to HR = 6.6 in the matched control group. In the Cox-regression model, CKD273 significantly contributed to death prediction, next to age and COVID-19 severity score at baseline. Conclusion SARS-CoV-2 infection during the first and second wave increased the risk of mortality in the follow-up period beyond the acute phase of the first 21 days. Kidney function appears to be a key element in the underlying molecular pathology of this process, indicating the importance of kidney-protective measures. Of note, among those who survived the acute phase of COVID-19, increase in mortality within the first year after infection compared to a non-infected control group was highest in the younger individuals.