20 research outputs found

    Cardiac postacute sequelae symptoms of SARS-CoV-2 in community-dwelling adults: cross-sectional study

    Full text link
    Objective To examine risk factors for cardiac-related postacute sequelae of SARS-CoV-2 infection (PASC) in community-dwelling adults after acute COVID-19 infection. Methods We performed a cross-sectional analysis among adults who tested positive for COVID-19. Outcomes were self-reported cardiac-related PASC. We conducted stepwise multivariable logistic regression to assess association between the risk factors (existing cardiovascular disease (CVD), pre-existing conditions, days since positive test, COVID-19 hospitalisation, age, sex, education, income) and cardiac-related PASC. Results In a sample of 442 persons, mean (SD) age was 45.4 (16.2) years, 71% were women, 13% were black, 46% had pre-existing conditions, 23% had cardiovascular (CV) risk factors and 4% had CVD. Prevalence of cardiac PASC was 43% and newly diagnosed cardiac conditions were 27%. The odds for cardiac-related PASC were higher among persons with underlying pre-existing conditions (adjusted OR (aOR): 2.00, 95% CI: 1.28 to 3.10) and among those who were hospitalised (aOR: 3.03, 95% CI: 1.58 to 5.83). Conclusions More than a third of persons with COVID-19 reported cardiac-related PASC symptoms. Underlying CVD, pre-existing diseases, age and COVID-19 hospitalisation are possible risk factors for cardiac-related PASC symptoms. COVID-19 may exacerbate CV risk factors and increase risk of complications

    Abstract 77: Pilot Outcomes Of A Multi-component Support Intervention For Caregivers Of Persons With Heart Failure

    Full text link
    Background: Caregivers of persons with heart failure must manage high levels of patient health care utilization, treatment complexity and often unpredictable stressors associated with intermittent symptom exacerbations and mortality. Interventions have often focused on the needs of the person with HF, not the caregiver. Therefore, we developed an intervention using human-centered design to provide caregiver-targeted support for this population. Objective: Pilot test the feasibility and gauge initial effect size of the Caregiver Support intervention to improve quality of life (mental and physical), caregiver burden, and self-efficacy among family caregivers from baseline to 16 weeks. Methods: The intervention includes five individualized, nurse-led sessions over 10 weeks conducted remotely (due to COVID-19). Intervention components focus on 1) nature of caregiving, 2) life purpose, 3) co-development of an action plan to address caregiver goals to reduce caregiver burden and improve caregiver well-being, 4) exploration of social and community resources to support unmet needs, and 5) building a sustainability plan for addressing future caregiver needs. We tested our approach in a randomized waitlist control pilot trial (N=35) from August 2020 through March 2022. We calculated enrollment and retention rates, described acceptability, and computed intervention effect sizes from baseline to 16 weeks. Results: 35 out of 101 (35%) eligible caregivers enrolled and were majority female (93.3%), White (60%) and spousal caregivers (63.3%). Average age was 59.4 ± 16.6 years. Overall retention was 69%. All intervention participants completed the five core components, reporting high levels of satisfaction and acceptability of activities. Between-group effect sizes (n=21) at 16 weeks suggest improvement in the mental health component of quality of life, caregiver burden, and self-efficacy (effect sizes 0.88, 0.31, and 0.63, respectively). Conclusion: Caregivers found Caregiver Support acceptable and study methods were feasible, despite challenges to engaging during the COVID-19 pandemic. Findings provide foundational evidence that this person-centered behavioral intervention can contribute to enhanced caregiver outcomes. </jats:p
    corecore