Risultati per: Long COVID: principali risultati, meccanismi e raccomandazioni

Stroke, Volume 56, Issue Suppl_1, Page AWP288-AWP288, February 1, 2025. Background:The COVID-19 pandemic disrupted healthcare systems and altered patient behaviors, potentially affecting stroke prevalence and outcomes. This study examines trends in stroke-related hospitalizations by age and sex in California from 2016 to 2022, focusing on the pandemic years (2020-2022).Methods:A retrospective analysis of patient discharge data from the California Department of Health Care Access and Information was conducted, screening nearly 25 million inpatient events for stroke-related ICD-10-CM codes (I60-I63) among individuals aged 20 and older. Age-and-sex-standardized hospitalization rates per 100,000 population were calculated. Multivariate logistic regression (MLR) assessed the impact of pre- and post-COVID-19 periods on stroke-related admissions, adjusting for age, gender, race and ethnicity, geographic regions, and payer source. Results were interpreted using Adjusted Odds Ratios (AOR).Results:The study identified 590,801 stroke-related hospitalizations and 66,096 in-hospital deaths (11.2%). From 2016 to 2019, stroke-related hospitalization rates were stable (257.7 to 259.2 per 100,000). A significant decrease to 242.6 occurred in 2020, followed by an increase to 253.7 in 2021, coinciding with peak COVID-19 cases. By 2022, the rate slightly declined to 251.0, indicating stabilization but not a return to pre-pandemic levels. While the overall trend from 2016 to 2022 was not statistically significant (p=0.400), fluctuations reflect the pandemic’s impact, particularly in 2021.Age and gender analyses showed distinct trends. The age-adjusted rate for males remained stable (p=0.774), while females faced a notable decrease (p=0.018). Among those aged 20-44, stroke-related hospitalizations increased by 19% (RR=1.19, p

Background
This qualitative evaluation was embedded in the Rehabilitation Exercise and psycholoGical support After COVID-19 InfectioN (REGAIN) study, a randomised controlled trial (RCT) for those with post-COVID-19 condition (‘long COVID’) after hospital admission for COVID-19, comparing weekly home-based, live online supervised group exercise and psychological support sessions with ‘best practice usual care’ (a single session of advice).

Objective
To increase our understanding of how and why the REGAIN programme might have worked and what helped or hindered this intervention.

Design
A qualitative evaluation which utilised interviews with participants and practitioners delivering the intervention. Framework and thematic analysis were used to analyse the findings.

Setting
England and Wales, UK.

Participants
Adults discharged from National Health Service (NHS) hospitals at least 3 months previously after COVID-19, with ongoing physical and/or mental health sequelae.

Results
Twenty intervention participants, 20 control participants and five practitioners were interviewed.
The themes from the group support sessions were: (1) you are not alone; (2) sharing experiences and addressing worries; (3) gaining new perspectives; (4) hope for progression; (5) peer support and bonding; (6) integration of facilitation skills; (7) modified activity pacing and goal setting, and (8) giving participants structure. The themes from group exercise were: (1) monitoring and modification of the online exercise; (2) catering for differing abilities; (3) feeling safe and confident to exercise; (4) progression of fitness; (5) optimal timing in the recovery trajectory; (6) group effect; (7) initial apprehension about exercise group; (8) gauging exercise capabilities; (9) translating exercises into life; and (10) on-demand supplementary videos. The 1:1 consultation sessions revealed patients needed to tell their stories.

Conclusion
Being listened to and being understood by someone ‘who got it’ was very important to people with post-COVID-19 condition. The group sessions of both exercise and psychological support were valued by participants, working together, and learning from each other in the face of a new disease within a global pandemic.

Objective
To examine the prevalence rate of social anxiety disorder (SAD) among university students in Jordan after the COVID-19 pandemic and its associated predictors.

Design
A cross-sectional online survey study that was conducted in Jordan between January and December 2023.
Setting: Universities in Jordan.

Participants
Healthy university students from any specialty currently enrolled at a Jordanian university.

Primary outcome measure
The prevalence rate of SAD, which was assessed using the Social Phobia Inventory.

Results
A total of 851 university students participated in this study. More than half of them (65%) were women. The mean age of the study participants was 21.9 (2.7) years. The majority of them (70.6%) were studying medical fields. The median number of times the study participants got infected with COVID-19 was 1.0 (IQR: 0.0–2.0). The median number of viewing hours spent on social networking sites was 4.0 (IQR: 3.0–6.0). The median SAD score was 19 (IQR: 10–32) out of 68, which represents 27.9% of the maximum attainable score. Up to 45.4% of the study participants were susceptible to SAD, with 12.5% of the study participants reporting severe to very severe SAD symptoms. Students older than 21.9 years were 32% less likely to report SAD symptoms compared with younger students (p

Objectives
During the COVID-19 pandemic, designated rehabilitation centres were established in the province of Québec, where strict sociosanitary measures such as isolation and mandatory personal protection equipment requirements were followed. This study aimed to describe the impact of the pandemic on rehabilitation care indicators for poststroke users with (COV+) and without (COV–) COVID-19 infection in designated rehabilitation centres compared with those admitted in the previous year (pre-COV).

Method
A retrospective analysis of 292 medical files was performed in 3 rehabilitation centres. Demographic characteristics were collected, as well as indicators routinely collected in acute care and rehabilitation such as length of stay (LOS), the Functional Independence Measure and a number of physical/occupational therapy (PT/OT) sessions. Non-parametric statistical tests were used to compare variables among the three groups.

Results
COV+ users were older than COV– and pre-COV ones (p

I dati del progetto Pascnet coordinato dalla Cattolica di Milano

Objective
To explore the lived experiences and extent of cognitive symptoms in Long COVID (LC) in a UK-based sample.

Design
This study implemented a mixed-methods design. Eight focus groups were conducted to collect qualitative data, and the Framework Analysis was used to reveal the experiences and impact of cognitive symptoms. A self-report questionnaire was used to collect the quantitative data to assess the perceived change and extent of symptomology post COVID-19.

Setting
Focus groups were conducted in April 2023 online via Zoom and in-person at the University of Leeds, UK.

Participants
25 people with LC living in the UK participated in the study. Participants were aged 19–76 years (M=43.6 years, SD=14.7) and included 17 women and 8 men.

Results
Reduced cognitive ability was among the most prevalent symptoms reported by the study participants. Three key themes were identified from the qualitative data: (1) rich accounts of cognitive symptoms; (2) the impact on physical function and psychological well-being and (3) symptom management. Descriptions of cognitive symptoms included impairments in memory, attention, language, executive function and processing speed. Cognitive symptoms had a profound impact on physical functioning and psychological well-being, including reduced ability to work and complete activities of daily living. Strategies used for symptom management varied in effectiveness.

Conclusion
Cognitive dysfunction in LC appears to be exacerbated by vicious cycle of withdrawal from daily life including loss of employment, physical inactivity and social isolation driving low mood, anxiety and poor cognitive functioning. Previous evidence has revealed the anatomical and physiological biomarkers in the brain affecting cognition in LC. To synthesise these contributing factors, we propose the Long-COVID Interacting Network of factors affecting Cognitive Symptoms. This framework is designed to inform clinicians and researchers to take a comprehensive approach towards LC rehabilitation, targeting the neural, individual and lifestyle factors.

Ricerca italiana apre alla diagnosi con un prelievo

Introduction
Knee osteoarthritis (OA) is a chronic condition affecting joint function. Regular physical activity can enhance functional capacity and reduce pain. However, there is a scarcity of studies relating to knee OA during the COVID-19 pandemic, particularly its impact on symptoms and quality of life.

Methods
This analytic cross-sectional study design will recruit participants aged 40 and above from Metro Manila with knee pain and COVID-19 history. The Filipino version of the Knee Injury and Osteoarthritis Outcome Score and International Physical Activity Questionnaire-Short Form will be used to assess the mediating variables.

Analysis
The study will employ descriptive and regression analyses for data analysis and follow the Strengthening the Reporting of Observational Studies in Epidemiology statement for reporting the data.

Ethics and dissemination
This study has received ethical approval from the Ethics Review Committee of the College of Rehabilitation Sciences. Study results will be disseminated through peer-reviewed journal publications and conference presentations to ensure accessibility to healthcare professionals and stakeholders, contributing to the advancement of knee OA management in post-COVID settings.

Objective
To synthesise the role of digital technologies in epidemic control and prevention, focussing on Ebola and COVID-19.

Design
A scoping review.

Data sources
A systematic search was done on PubMed, HINARI, Web of Science, Google Scholar and a direct Google search until 10 September 2024.

Eligibility criteria
We included all qualitative and quantitative studies, conference papers or abstracts, anonymous reports, editorial reports and viewpoints published in English.

Data extraction and synthesis
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist was used to select the included study. Data analysis was performed using Gale’s framework thematic analysis method, resulting in the identification of key themes.

Results
A total of 64 articles that examined the role of digital technology in the Ebola and COVID-19 pandemics were included in the final review. Five main themes emerged: digital epidemiological surveillance (using data visualisation tools and online sources for early disease detection), rapid case identification, community transmission prevention (via digital contact tracing and assessing interventions with mobility data), public education messages and clinical care. The identified barriers encompassed legal, ethical and privacy concerns, as well as organisational and workforce challenges.

Conclusion
Digital technologies have proven good for disease prevention and control during pandemics. While the adoption of these technologies has lagged in public health compared with other sectors, tools such as artificial intelligence, telehealth, wearable devices and data analytics offer significant potential to enhance epidemic responses. However, barriers to widespread implementation remain, and investments in digital infrastructure, training and strong data protection are needed to build trust among users. Future efforts should focus on integrating digital solutions into health systems, ensuring equitable access and addressing ethical concerns. As public health increasingly embraces digital innovations, collaboration among stakeholders will be crucial for effective pandemic preparedness and management.

Mahesarajah S, El Asmar ML, Irwin R, et al. Impact of the COVID-19 pandemic on psychotropic prescribing: a systematic review BMJ Open 2024;14:e076791. doi: 10.1136/bmjopen-2023–0 76 791
The article is updated since it was first published. The below mentioned sections have been updated:
Results- Changes in antipsychotic prescribing rates, line 21 and 22, page no. 8.
Results – Changes in antidepressant prescribing rates, line 20, page no. 8.
Discussion – Discussion of findings and implications of selected studies, line 33, page no. 9.
Table 2- Result, last paragraph.

Introduction
During the first wave of the COVID-19 outbreak in China, the surge of COVID-19 cases was rapid and drastic. Emerging evidence suggests that beyond the acute phase, patients with COVID-19 may experience a wide range of postacute or long COVID sequelae. However, the mechanism and burden of COVID-19, especially long COVID, have not yet been comprehensively clarified. To fill this knowledge gap, this large prospective follow-up study aims to investigate the short-term and long-term effects of COVID-19, explore the underlying biological mechanism and identify predictive neuroimaging and haematological biomarkers associated with these effects.

Methods and analysis
This multicentre study will recruit patients infected during the first wave of COVID-19 in China and healthy controls (HCs) with no history of COVID-19 infection from nine participating hospitals. Confirmed patients with mild or moderate COVID-19 will complete the following programmes during the acute infection phase and at 3, 12 and 24 months after infection: (a) blood test at the local laboratory, (b) multimodal brain and spine MRI scan and (c) the neuropsychological scales and questionnaires. Similarly, the uninfected HCs will complete the same programmes as the infected group mentioned above at the time of inclusion. At the first time point, 501 participants (418 patients and 83 HCs) from nine recruiting hospitals have been observed. Ultimately, all of these results will be analysed to explore the short-term and long-term effects of COVID-19.

Ethics and dissemination
Ethics approval was granted by Ethics Committee of the First Affiliated Hospital of Xi’an Jiaotong University (XJTU1AF2023LSK-013). Findings will be presented at national and international conferences, as well as published in peer-reviewed scientific journals.

Trial registration number
NCT05745805.

Objective
During the COVID-19 pandemic, the need for end-of-life care has increased. This type of care is different for patients with COVID-19 compared with other patients. This study aims to explain the experiences of intensive care unit (ICU) nurses in providing end-of-life care to patients with COVID-19.

Design
Qualitative content analysis.

Setting
The study population consisted of ICU nurses working in hospitals affiliated with the Kerman University of Medical Sciences in southeastern Iran.

Participants
14 ICU nurses, including 9 women and 5 men, participated in this study. Their mean age was 33.79±5.07 years, and their mean work experience was 8.64±3.5 years.

Primary and secondary objectives
The purpose of this qualitative content analysis was to explore the experiences of Iranian intensive care nurses using purposive sampling and semistructured in-depth interviews. Sampling was based on maximum variation (age, gender, professional experience and educational level) to obtain rich information. Guba and Lincoln’s criteria were applied to increase the trustworthiness and rigour of the study, and the data were analysed using Graneheim and Lundman’s method and MAXQDA 2020.

Results
ICU nurses’ experiences of caring for patients with COVID-19 at the end of life are comprehensive, and four main themes emerged from the responses: fear of death due to COVID-19 infection; physical and psychological consequences of caring for patients dying from COVID-19; confusion in caring for patients with COVID-19 at the end of life and unbelievable deaths.

Conclusion
The present study looked at the experiences of Iranian nurses providing end-of-life care during the COVID-19 pandemic. The findings suggest that the nurses experienced anxiety, excessive fatigue and guilt during end-of-life care and that the high mortality and unbelievable deaths were traumatic experiences for them.

Objective
Explore the nature and prevalence of long-term conditions in individuals with intellectual disability.

Design
Retrospective longitudinal population-based study.

Setting
Primary and secondary care data across the population of Wales with the Secure Anonymised Information Linkage (SAIL) Databank.

Participants
14 323 individuals were identified during the study date period 1 January 2000 to 31 December 2021 using the following inclusion criteria: 18 or older, alive at the cohort start date, a resident of Wales, with a primary care registration at a SAIL providing general practice with available records and a recorded diagnosis of intellectual disability. Once individuals were identified, health records were observed from birth.

Results
13 069 individuals had a recorded diagnosis of intellectual disability and at least one long-term condition, reflecting 91.25% of the population. Demographic data from the SAIL dataset reveal that the study population is predominantly White, with low levels of representation of non-White ethnic groups. In the cohort, a larger proportion of patients live in the most deprived areas of Wales (22.30%), with fewer individuals in less deprived categories. Mental illness was identified as the most prevalent of the identified long-term conditions, whereby 30.91% of the population had a recorded diagnosis of a mental illness which was chronic. For many common conditions, including epilepsy, thyroid disorders, upper gastrointestinal disorders, chronic kidney disease and diabetes, there was an overall trend of higher prevalence rates in the intellectual disability cohort when compared with the general population. The prevalence of hypertension was lower in individuals with intellectual disability. Chronic constipation, chronic diarrhoea and insomnia were examples of long-term conditions added as relevant to individuals with intellectual disability. Notable differences in the distribution of long-term conditions were observed when comparing across sex and age groups. The number of long-term conditions increases with age. Conditions which may usually be expected to emerge later in life are present in younger age groups, such as diabetes, hypertension and chronic arthritis. When hospital episodes were analysed, epilepsy, diabetes, chronic airway disease and mental illness were commonly treated conditions during hospital admission across both sexes. Conditions which were less prevalent in the intellectual disability cohort, but which were treated during ≥6% of total hospital admissions include cancer, cardiac arrhythmias and cerebral palsy.

Conclusions
This study establishes a range of 40 relevant long-term conditions for people with intellectual disability through an iterative process, which included a review of the available literature and a series of discussions with a Professional Advisory Panel and Patient and Public Involvement groups of this research project. The findings of the study reinforce the high prevalence and early emergence of long-term conditions in the intellectual disability cohort. It also demonstrates the difference in the range of conditions when compared with the general population. There were differences in long-term conditions when separated by sex and age. Long-term conditions which commonly require treatment in hospitals were also revealed. Further work is required to translate the findings of this study into actionable insights. Clusters of multiple long-term conditions, trajectories, outcomes and risk factors should be explored to optimise the understanding and longitudinal care of individuals with intellectual disabilities and long-term conditions.

Objective
Investigate whether deaf or hard of hearing (D/HH) patients with COVID-19 exhibited different hospitalisation outcomes compared with hearing patients with COVID-19.

Design
Cohort study

Setting
Statewide Inpatient Databases for Florida, Maryland, New York and Washington, for the year 2020.

Participants
Records of patients aged 18–64 years with COVID-19

Primary outcomes and measures
Differences in in-hospital death, 90-day readmission, length of stay, hospitalisation cost, hospitalisation cost per day, intensive care unit (ICU) or coronary care unit (CCU) utilisation and ventilation use were evaluated. Adjustment variables included patient basic characteristics, socioeconomic factors, and clinical factors.

Results
The analyses included 347 D/HH patients and 72 882 non-D/HH patients. Multivariable log-transformed linear regression models found an association of patients’ hearing loss status with longer length of stay (adjusted mean ratio (aMR) 1.15, 95% CI 1.04 to 1.27, p

Objective
To understand how area deprivation inequalities in COVID-19 mortality changed during the national vaccination programme in England and to identify the extent to which these inequalities might be explained by unequal vaccination uptake.

Design
Ecological study.

Setting
307 Lower Tier Local Authorities in England, March 2020 – December 2022.

Main outcome measure
Inequality in age-standardised mortality rates 28 days after a positive COVID-19 test by area-level deprivation from March 2020 to December 2022. We employ three different measures of this inequality: the disparity index, the concentration and generalised concentration index, and absolute and relative measures of inequality. We use the 2019 edition of the Index of Multiple Deprivation, transformed into quintiles.

Results
Relative inequalities in age-standardised mortality rates 28 days after a positive COVID-19 test reduced substantially (from around 6.9 times higher in most deprived to least deprived to 1.2 times higher) in the 25 months after the national vaccination rollout began. Vaccination uptake between the most and least deprived quintiles widened with each dose. Inequalities in cumulative mortality rates developed quickly, and while they stabilised and reduced, they did not disappear. We estimate that if vaccination rates in the most deprived areas had been the same as those in the least deprived, absolute disparity inequality would have been reduced from 118.9 per 100 000 (95% CI 117.0 to 120.7) to 40.2 (95% CI 3.7 to 76.7) at the end of 2022.

Conclusions
National COVID-19 vaccination strategies offer the potential to significantly reduce inequalities in COVID-19 mortality rates. However, more could be achieved if barriers to vaccination uptake in the most deprived areas are overcome.

Introduction
Long-term care (LTC) residents are frequently transferred to acute care hospitals. Transfer decisions should align with residents’ wishes and goals. Decision to transfer to hospital, when not aligned with the resident’s wishes, can result in transfers that are harmful to residents, leaving residents in a state of disability that could be considered worse than death. We aim to examine whether transfer to an acute care hospital is associated with subsequent new onset of severe permanent physical and cognitive disability in LTC residents.

Method and analysis
We will conduct a retrospective cohort study of all LTC residents ≥65 admitted to LTC homes between 1 April 2013 and 31 March 2018 in Ontario, Canada. We will use health administrative data from the Continuing Care Reporting System (CCRS), National Ambulatory Care Reporting System (NACRS) and Registered Persons Databases (RPDB), which include data on emergency department visits, hospitalisations, demographic information and mortality. All participants will be followed until 31 March 2023. The exposure is any transfer from LTC to an emergency department or acute care hospital. The outcomes are (1) subsequent new permanent physical disability, (2) subsequent new permanent cognitive disability and (3) all-cause mortality. Due to the time-varying nature of the exposure and confounders, we will use an extended cause-specific Cox regression model to explore this relationship. We will fit marginal structural models (MSMs) to account for the known shortcomings of traditional regression modelling, such as collider bias. Lastly, we will use a preference-based instrumental variable approach to address unmeasured confounders.

Ethics and dissemination
Ethics approval was obtained through Bruyère Research Institute Ethics Committee (REB#M16-23-030). Study findings will be submitted for publication in a peer-reviewed journal. Findings will be disseminated in conferences and seminars.

Trial registration
Open Science Framework (https://doi.org/10.17605/OSF.IO/JCDEY).