Long-term Health Consequences of COVID-19

Barriers and enablers to local active travel during COVID-19: A case study of Streetspace interventions in two London boroughs

Background: During the coronavirus disease 2019 (COVID-19) pandemic, UK local authorities increased emergency active travel interventions. This study aimed to understand what aspects of temporary Streetspace for London schemes represent barriers or enablers to walking and cycling for short local journeys. Methods: Focusing on two Inner London boroughs, we conducted 21 semi-structured stakeholder interviews and sampled 885 public comments about Streetspace schemes. We triangulated the data in a thematic analysis to identify barriers and enablers, which were categorised using the Capability, Opportunity, Motivation, Behaviour (COM-B) model. Results: Opportunity and motivation factors were reflected in the barriers (accessibility and integration of the schemes; controversy, dissatisfaction, and doubt) and enablers (new routes and spaces; sustainability and health beliefs) and mixed themes (changes to traffic and appeal of the area; feelings of safety). Capability was not reflected in the main themes. Conclusions: Although aspects of Streetspace schemes were seen to enable active travel, our findings suggest that additional processes to address the acceptability, fairness, and unintended consequences of emergency interventions will be important to their long-term success for health and sustainability.

The longitudinal impact of the SARS-CoV-2 pandemic on participants from the Boston Puerto Rican Health Study

Objective

to investigate the impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on older Hispanic adults.

Methods

A total of 522 participants (or their family member, if deceased) from the Boston Puerto Rican Health Study were asked whether they had been diagnosed with SARS-CoV-2, across 2 survey phases. In phase 1 (May - Aug 2020, n=497), participants answered survey questions related to SARS-CoV-2 exposure, diagnosis, and transmission and 5 family members reported deaths. In phase 2, participants were again surveyed (January - June 2021; n=420, and 2 family members reported deaths). SARS-CoV-2 diagnosis and/or death apparently from SARS-CoV-2 was self-reported.

Results

In 2020, 5.2% reported that they had been SARS-CoV-2 positive; by June 2021, a cumulative 11.0% reported having been SARS-CoV-2 positive (including cases and deaths in the first survey). A total of 7 participants (1.3%) reportedly died from SARS-CoV-2. Language acculturation was significantly lower among participants with SARS-CoV-2 (13.7 ± 17.9) vs. without SARS-CoV-2 (20.0 ± 21.4; P = 0.049). Mean length of return to usual health was 28 ± 38 days (range: 0-210 days; median = 15 days). Depressive symptomatology was significantly lower during the pandemic (CES-D score: 13.4 ± 11.6) compared to the same participants pre-pandemic (17.8 ± 11.7; P = 0.001). Compared to the months before the pandemic, 32% (n=135) of participants reported greater communication with friends and family, and 41% (n=172) reported no change.

Conclusions

Public health models should be personalized to communities, considering their unique structures and cultural beliefs. Social resiliency may be key for future programmatic responses to pandemics to reduce the mental health burden.

The Impact of COVID-19 Pandemic on Physical Activity Levels Among Health Care Workers: Longitudinal Results From the SHAHWAR Study

OBJECTIVE

The aim of the present study was to investigate physical activity (PA) changes during the COVID-19 pandemic among health care workers.

METHODS

In a follow-up study, staff PA was compared before and during the COVID-19 pandemic. Logistic regression model was used to determine the related factors with PA changes.

RESULTS

Total PA (MET minutes a week) among participants (n = 449) showed a statistically significant decrease during the pandemic compared with before the pandemic: 3785.5 ± 2237.09 versus 2363 ± 2452.90, P < 0.0001. Although transport-related PA decreased in medical and administrative department staff (3851 ± 22.83.4 vs 2446.7 ± 2477.6, P < 0.0001 and 3593.8 ± 2094.3 vs 2122.6 ± 2373.8, P < 0.0001, respectively), the decrease was associated with employment in the administrative and nonshift sectors with odds ratios of 2.37 (1.38 to 4.08) and 2.04 (1.28 to 3.26), respectively.

CONCLUSION

Promoting PA at home and leisure is especially recommended to achieve the recommended PA levels.

Characteristics of COVID-19 patients with multiorgan injury across the pandemic in a large academic health system in the Bronx, New York

Purpose

To investigate the evolution of COVID-19 patient characteristics and multiorgan injury across the pandemic.

Methods

This retrospective cohort study consisted of 40,387 individuals tested positive for SARS-CoV-2 in the Montefiore Health System in Bronx, NY, between March 2020 and February 2022, of which 11,306 were hospitalized. Creatinine, troponin, and alanine aminotransferase were used to define acute kidney injury (AKI), acute cardiac injury (ACI) and acute liver injury, respectively. Demographics, comorbidities, emergency department visits, hospitalization, intensive care utilization, and mortality were analyzed across the pandemic.

Results

COVID-19 positive cases, emergency department visits, hospitalization and mortality rate showed four distinct waves with a large first wave in April 2020, two small (Alpha and Delta) waves, and a large Omicron wave in December 2021. Omicron was more infectious but less lethal (p = 0.05). Among hospitalized COVID-19 patients, age decreased (p = 0.014), female percentage increased (p = 0.023), Hispanic (p = 0.028) and non-Hispanic Black (p = 0.05) percentages decreased, and patients with pre-existing diabetes (p = 0.002) and hypertension (p = 0.04) decreased across the pandemic. More than half (53.1%) of hospitalized patients had major organ injury. Patients with AKI, ACI and its combinations were older, more likely males, had more comorbidities, and consisted more of non-Hispanic Black and Hispanic patients (p = 0.005). Patients with AKI and its combinations had 4-9 times higher adjusted risk of mortality than those without.

Conclusions

There were shifts in demographics toward younger age and proportionally more females with COVID-19 across the pandemic. While the overall trend showed improved clinical outcomes, a substantial number of COVID-19 patients developed multi-organ injuries over time. These findings could bring awareness to at-risk patients for long-term organ injuries and help to better inform public policy and outreach initiatives.

Prevalence and characteristics of long COVID in elderly patients: An observational cohort study of over 2 million adults in the US

BACKGROUND

Incidence of long COVID in the elderly is difficult to estimate and can be underreported. While long COVID is sometimes considered a novel disease, many viral or bacterial infections have been known to cause prolonged illnesses. We postulate that some influenza patients might develop residual symptoms that would satisfy the diagnostic criteria for long COVID, a condition we call "long Flu." In this study, we estimate the incidence of long COVID and long Flu among Medicare patients using the World Health Organization (WHO) consensus definition. We compare the incidence, symptomatology, and healthcare utilization between long COVID and long Flu patients.

METHODS AND FINDINGS

This is a cohort study of Medicare (the US federal health insurance program) beneficiaries over 65. ICD-10-CM codes were used to capture COVID-19, influenza, and residual symptoms. Long COVID was identified by (a) the designated long COVID code B94.8 (code-based definition), or (b) any of 11 symptoms identified in the WHO definition (symptom-based definition), from 1 to 3 months post-infection. A symptom would be excluded if it occurred in the year prior to infection. Long Flu was identified in influenza patients from the combined 2018 and 2019 Flu seasons by the same symptom-based definition for long COVID. Long COVID and long Flu were compared in 4 outcome measures: (a) hospitalization (any cause); (b) hospitalization (for long COVID symptom); (c) emergency department (ED) visit (for long COVID symptom); and (d) number of outpatient encounters (for long COVID symptom), adjusted for age, sex, race, region, Medicare-Medicaid dual eligibility status, prior-year hospitalization, and chronic comorbidities. Among 2,071,532 COVID-19 patients diagnosed between April 2020 and June 2021, symptom-based definition identified long COVID in 16.6% (246,154/1,479,183) and 29.2% (61,631/210,765) of outpatients and inpatients, respectively. The designated code gave much lower estimates (outpatients 0.49% (7,213/1,479,183), inpatients 2.6% (5,521/210,765)). Among 933,877 influenza patients, 17.0% (138,951/817,336) of outpatients and 24.6% (18,824/76,390) of inpatients fit the long Flu definition. Long COVID patients had higher incidence of dyspnea, fatigue, palpitations, loss of taste/smell, and neurocognitive symptoms compared to long Flu. Long COVID outpatients were more likely to have any-cause hospitalization (31.9% (74,854/234,688) versus 26.8% (33,140/123,736), odds ratio 1.06 (95% CI 1.05 to 1.08, p < 0.001)), and more outpatient visits than long Flu outpatients (mean 2.9(SD 3.4) versus 2.5(SD 2.7) visits, incidence rate ratio 1.09 (95% CI 1.08 to 1.10, p < 0.001)). There were less ED visits in long COVID patients, probably because of reduction in ED usage during the pandemic. The main limitation of our study is that the diagnosis of long COVID in is not independently verified.

CONCLUSIONS

Relying on specific long COVID diagnostic codes results in significant underreporting. We observed that about 30% of hospitalized COVID-19 patients developed long COVID. In a similar proportion of patients, long COVID-like symptoms (long Flu) can be observed after influenza, but there are notable differences in symptomatology between long COVID and long Flu. The impact of long COVID on healthcare utilization is higher than long Flu.

Antibody Response to the SARS-CoV-2 Spike and Nucleocapsid Proteins in Patients with Different COVID-19 Clinical Profiles

The first case of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in Brazil was diagnosed on February 26, 2020. Due to the important epidemiological impact of COVID-19, the present study aimed to analyze the specificity of IgG antibody responses to the S1, S2 and N proteins of SARS-CoV-2 in different COVID-19 clinical profiles. This study enrolled 136 individuals who were diagnosed with or without COVID-19 based on clinical findings and laboratory results and classified as asymptomatic or as having mild, moderate or severe disease. Data collection was performed through a semistructured questionnaire to obtain demographic information and main clinical manifestations. IgG antibody responses to the S1 and S2 subunits of the spike (S) protein and the nucleocapsid (N) protein were evaluated using an enzyme-linked immunosorbent assay (ELISA) according to the manufacturer’s instructions. The results showed that among the participants, 87.5% (119/136) exhibited IgG responses to the S1 subunit and 88.25% (120/136) to N. Conversely, only 14.44% of the subjects (21/136) displayed S2 subunit responses. When analyzing the IgG antibody response while considering the different proteins of the virus, patients with severe disease had significantly higher antibody responses to N and S1 than asymptomatic individuals (p ≤ 0.0001), whereas most of the participants had low antibody titers against the S2 subunit. In addition, individuals with long COVID-19 showed a greater IgG response profile than those with symptomatology of a short duration. Based on the results of this study, it is concluded that levels of IgG antibodies may be related to the clinical evolution of COVID-19, with high levels of IgG antibodies against S1 and N in severe cases and in individuals with long COVID-19.

Thrombophilia and Immune-Related Genetic Markers in Long COVID

Aiming to evaluate the role of ten functional polymorphisms in long COVID, involved in major inflammatory, immune response and thrombophilia pathways, a cross-sectional sample composed of 199 long COVID (LC) patients and a cohort composed of 79 COVID-19 patients whose follow-up by over six months did not reveal any evidence of long COVID (NLC) were investigated to detect genetic susceptibility to long COVID. Ten functional polymorphisms located in thrombophilia-related and immune response genes were genotyped by real time PCR. In terms of clinical outcomes, LC patients presented higher prevalence of heart disease as preexistent comorbidity. In general, the proportions of symptoms in acute phase of the disease were higher among LC patients. The genotype AA of the interferon gamma (IFNG) gene was observed in higher frequency among LC patients (60%; p = 0.033). Moreover, the genotype CC of the methylenetetrahydrofolate reductase (MTHFR) gene was also more frequent among LC patients (49%; p = 0.045). Additionally, the frequencies of LC symptoms were higher among carriers of IFNG genotypes AA than among non-AA genotypes (Z = 5.08; p < 0.0001). Two polymorphisms were associated with LC in both inflammatory and thrombophilia pathways, thus reinforcing their role in LC. The higher frequencies of acute phase symptoms among LC and higher frequency of underlying comorbidities might suggest that acute disease severity and the triggering of preexisting condition may play a role in LC development.

Association between use of psychotropic medications prior to SARS-COV-2 infection and trajectories of COVID-19 recovery: Findings from the prospective Predi-COVID cohort study

Psychological disturbances are frequent following COVID-19. However, there is not much information about whether pre-existing psychological disorders are associated with the severity and evolution of COVID-19. We aimed to explore the associations between regular psychotropic medication use (PM) before infection as a proxy for mood or anxiety disorders with COVID-19 recovery trajectories. We used data from the Predi-COVID study. We followed adults, tested positive for SARS-CoV-2 and collected demographics, clinical characteristics, comorbidities and daily symptoms 14 days after inclusion. We calculated a score based on 16 symptoms and modeled latent class trajectories. We performed polynomial logistic regression with PM as primary exposure and the different trajectories as outcome. We included 791 participants, 51% were men, and 5.3% reported regular PM before infection. We identified four trajectories characterizing recovery dynamics: "Almost asymptomatic," "Quick recovery," "Slow recovery," and "Persisting symptoms". With a fully adjusted model for age, sex, socioeconomic, lifestyle and comorbidity, we observed associations between PM with the risks of being in more severe trajectories than "Almost Asymptomatic": "Quick recovery" (relative risk (95% confidence intervals) 3.1 (2.7, 3.4), "Slow recovery" 5.2 (3.0, 9.2), and "Persisting symptoms"11.7 (6.9, 19.6) trajectories. We observed a gradient of risk between PM before the infection and the risk of slow or no recovery in the first 14 days. These results suggest that a pre-existing psychological condition increases the risk of a poorer evolution of COVID-19 and may increase the risk of Long COVID. Our findings can help to personalize the care of people with COVID-19.

Persisting and New Onset Symptomatology and Determinants of Functional Limitation of Post Acute COVID-19 Syndrome Cases- A Study from a Northern District of Kerala

Background

COVID-19 disease has a wide range of persisting and new onset clinical manifestations even long after the acute phase. This study was conducted to identify the persisting and new onset symptomatology of post-COVID-19 syndrome patients from clinics in urban and peri-urban Kozhikode, South India, as well as to grade their functional limitation; assess the determinants and predictors.

Material and Methods

A cross-sectional study was conducted among 938 subjects attending the post-COVID clinics. Symptom profile, functional assessment, and limitation grading were done using the Post-COVID-19 Functional Status (PCFS) scale. Statistical analyses were done using the SPSS ver.20.

Results

Mean age was 41.50 ± 16.90 years. Fever, anosmia, dysgeusia, headache, and myalgia were the common acute COVID-19 symptoms (505,54%; 433,46.3%; 420,44.9%; 323,34.4%; 252,26.9%, respectively). Post-COVID-19, common persisting symptoms were myalgia (167,17.8%), fatigue (149,15.9%), dyspnea (113,12%), and headache (85,9.1%); the common new onset symptoms were shortness of breath and fatigue (228,24.3% and 220,23.4%, respectively). A total of 91 cases (9.7%) had post-COVID sleep disturbances; 16 (1.7%) had symptoms of anxiety and depressive thoughts. PCFS grading showed that 552 (63.8%) had negligible limitations (Grade I). Only one person had Grade IV limitation. Significant association (p < 0.05) was found between functional impairment grading by PCFS and age, gender, locality, type of family, duration of hospitalization, duration of unemployment following illness, source of infection, diabetes mellitus, and hypertension. Male gender, married status, CAD, and smoking had significant higher risks; urban locality and hospitalization decreased the risk.

Conclusions

SARS-CoV-2 cases have persistent and new onset symptoms and some degree of functional impairment post-COVID. Significant association was identified for various sociodemographic and clinical variables with the PCFS functional impairment grading.

Acute and longer-term psychological distress associated with testing positive for COVID-19: longitudinal evidence from a population-based study of US adults

BACKGROUND

The novel coronavirus (SARS-CoV-2) has produced a considerable public health burden but the impact that contracting the disease has on mental health is unclear. In this observational population-based cohort study, we examined longitudinal changes in psychological distress associated with testing positive for coronavirus disease 2019 (COVID-19).

METHODS

Participants (N = 8002; observations = 139 035) were drawn from 23 waves of the Understanding America Study, a nationally representative probability-based online panel of American adults followed-up every 2 weeks from 1 April 2020 to 15 February 2021. Psychological distress was assessed using the standardized total score on the Patient Health Questionnaire-4.

RESULTS

Over the course of the study, 576 participants reported testing positive for COVID-19. Using regression analysis including individual and time-fixed effects we found that psychological distress increased by 0.29 standard deviations (p < 0.001) during the 2-week period when participants first tested positive for COVID-19. Distress levels remained significantly elevated (d = 0.16, p < 0.01) for a further 2 weeks, before returning to baseline levels. Coronavirus symptom severity explained changes in distress attributable to COVID-19, whereby distress was more pronounced among those whose symptoms were more severe and were slower to subside.

CONCLUSIONS

This study indicates that testing positive for COVID-19 is associated with an initial increase in psychological distress that diminishes quickly as symptoms subside. Although COVID-19 may not produce lasting psychological distress among the majority of the general population it remains possible that a minority may suffer longer-term mental health consequences.

Association of Severe Acute Respiratory Syndrome Coronavirus 2 Infection With Early Breastfeeding

OBJECTIVE

The association of maternal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) status before delivery with breastfeeding is unknown. This study compares breastfeeding initiation, exclusivity, and duration between SARS-CoV-2-positive (+) and SARS-CoV-2-negative (-) mothers during the first 2 months of their newborns' lives.

METHODS

A single center, retrospective cohort study of pediatric contacts during the first 2 months in a diverse mother-infant population (n = 285) compared breastfeeding outcomes by maternal SARS-CoV-2 status during a pandemic surge. Infants of SARS-CoV-2 positive mothers were also tested before discharge. Comparison of maternal demographics (age, race, ethnicity), maternal/infant characteristics (parity, insurance, delivery mode, infant sex, hospital length of stay), and pediatric contacts by maternal SARS-CoV-2 status included Fisher's exact and Wilcoxon tests and Poisson regression for count outcomes. Logistic regression compared breastfeeding outcomes between the 2 groups, adjusting for potential confounders and effect modifiers.

RESULTS

Maternal demographics and maternal/infant characteristics were similar. While 19% of mothers tested positive for SARS-CoV-2 (n = 54), their infants were all negative. SARS-CoV-2 positive mothers had fewer in-person, but more virtual pediatric contacts. After controlling for the above variables, SARS-CoV-2 positive mothers had lower odds of breastfeeding initiation within 1 to 7 days of life (78% vs 88%; adjusted odds ratio [aOR] = 0.40, 95% confidence interval [CI]: 0.17, 0.96) and of any breastfeeding during month 2 (54% vs 76%; aOR = 0.37, 95% CI: 0.16, 0.86) compared with SARS-CoV-2 negative mothers.

CONCLUSIONS

Maternal SARS-CoV-2 positivity at delivery was independently associated with less initiation and shorter duration of any breastfeeding during month 2. SARS-CoV-2 positive women would likely benefit from additional breastfeeding support during pandemic surges.

Epidemiology of post-COVID conditions beyond 1 year: a cross-sectional study

OBJECTIVE

The aim of this study was to investigate the epidemiology of post-COVID conditions beyond 12 months and identify factors associated with the persistence of each condition.

STUDY DESIGN

This was a cross-sectional questionnaire-based survey.

METHODS

We conducted the survey among patients who had recovered from COVID-19 and visited our institute between February 2020 and November 2021. Demographic and clinical data and data regarding the presence and duration of post-COVID conditions were obtained. We identified factors associated with the persistence of post-COVID conditions using multivariable linear regression analyses.

RESULTS

Of 1148 surveyed patients, 502 completed the survey (response rate, 43.7%). Of these, 393 patients (86.4%) had mild disease in the acute phase. The proportion of participants with at least one symptom at 6, 12, 18, and 24 months after symptom onset or COVID-19 diagnosis was 32.3% (124/384), 30.5% (71/233), 25.8% (24/93), and 33.3% (2/6), respectively. The observed associations were as follows: fatigue persistence with moderate or severe COVID-19 (β = 0.53, 95% confidence interval [CI] = 0.06-0.99); shortness of breath with moderate or severe COVID-19 (β = 1.39, 95% CI = 0.91-1.87); cough with moderate or severe COVID-19 (β = 0.84, 95% CI = 0.40-1.29); dysosmia with being female (β = -0.57, 95% CI = -0.97 to -0.18) and absence of underlying medical conditions (β = -0.43, 95% CI = -0.82 to -0.05); hair loss with being female (β = -0.61, 95% CI = -1.00 to -0.22), absence of underlying medical conditions (β = -0.42, 95% CI = -0.80 to 0.04), and moderate or severe COVID-19 (β = 0.97, 95% CI = 0.41-1.54); depressed mood with younger age (β = -0.02, 95% CI = -0.04 to -0.004); and loss of concentration with being female (β = -0.51, 95% CI = -0.94 to -0.09).

CONCLUSIONS

More than one-fourth of patients after recovery from COVID-19, most of whom had had mild disease in the acute phase, had at least one symptom at 6, 12, 18, and 24 months after onset of COVID-19, indicating that not a few patients with COVID-19 suffer from long-term residual symptoms, even in mild cases.

Chronic voice disorder after coronavirus disease 2019 infection and its treatment using the cricothyroid visor maneuver: a case report

BACKGROUND

Regarding human coronavirus, the severe acute respiratory syndrome coronavirus 2 pandemic, the novelty of disease, and consequently the lack of studies, the etiology of dysphonia in patients with coronavirus disease 2019 is still unknown and needs to be investigated. The purpose of the current study is to investigate the effect of a new manual therapy technique, cricothyroid visor maneuver, on muscle tension dysphonia symptoms for a patient who had experienced dysphonia symptoms due to the coronavirus disease 2019 infection.

CASE PRESENTATION

A 55-year-old retired Iranian teacher who was diagnosed with muscle tension dysphonia by an otolaryngologist participated in this study. Fifty days before being referred to an otolaryngologist, he was diagnosed with coronavirus disease 2019 on the basis of the results of a standard laboratory test, namely real-time polymerase chain reaction. Treatment was provided in ten sessions. Pre- and post-treatment audio recordings of sustained vowels, selected sentences, and connected speech samples were submitted for auditory perceptual and acoustic analysis to assess the effects of the treatment program. Also, videolaryngostroboscopy voice quality perceptions by the patient, both before and after therapy, were assessed. The reduction in all features of the Consensus Auditory-Perceptual Evaluation of Voice was observed. The results of acoustic assessment showed that jitter (35.13%) and shimmer (20.48%) decreased; moreover, the harmonics-to-noise ratio (1.17%), cepstral peak prominence smoothed (28.53%) and maximum phonation time (15.5%) increased after treatment sessions. The scores of four parameters of Stroboscopy Examination Rating Form (SERF) form changed after cricothyroid visor maneuver therapy. Also, the visual analog scales score at the pre-treatment assessment was 40, and increased to 90 at the post-treatment assessment.

CONCLUSIONS

The effectiveness of cricothyroid visor maneuver therapy on dysphonia associated with coronavirus disease 2019 was investigated in the current study. This case study has highlighted chronic dysphonia after coronavirus disease 2019 infection, and suggests that the cricothyroid visor maneuver therapy approach may have positive outcomes for patients with muscle tension dysphonia with this background.

An age-old problem or an old-age problem? A UK survey of attitudes, historical use and recommendations by healthcare professionals to use healthcare apps

BACKGROUND

The coronavirus pandemic has exacerbated barriers to accessing face-to-face care. Consequently, the potential for digital health technologies (DHTs) to address unmet needs has gained traction. DHTs may circumvent several barriers to healthy independent living, resulting in both socioeconomic and clinical benefits. However, previous studies have demonstrated these benefits may be disproportionately realised among younger populations while excluding older people.

METHODS

We performed a prospective survey using the One Poll market research platform among 2000 adults from the United Kingdom. To mitigate against self-selection bias, participants were not informed of the topic of the survey until they had completed recruitment. We compared willingness to use and historical use of health-apps, in addition to recommendations to use health-apps from healthcare professionals; comparing outcomes across all age groups, including a reference group (n = 222) of those aged 18-24. Outcomes were analysed using multivariate logistic regression and reported as odds ratios (OR) with respondent age, ethnicity, gender, and location as covariates.

RESULTS

Willingness to use health-apps decreased significantly with age, reaching a minimum (OR = 0.39) among those aged 65 and over compared to the reference group of 18-24 year olds. Despite this, more than 52% of those aged 65 and over were willing to use health-apps. Functions and features most cited as useful by older populations included symptom self-monitoring and surgery recovery assistance. The likelihood of never having used a health-app also increased consistently with age, reaching a maximum among those aged 65 and over (OR = 18.3). Finally, the likelihood of being recommended health-apps by a healthcare professional decreased significantly with age, (OR = 0.09) for those aged 65 and over. In absolute terms, 33.8% of those aged 18-24, and 3.9% of those aged 65 and over were recommended health-apps by their healthcare professionals.

CONCLUSION

Although absolute utilisation of health-apps decreases with age, the findings of this study suggest that the gap between those willing to use health-apps, and those being recommended health-apps by healthcare professionals increases with age. Given the increasing availability of evidence-based health-apps designed for older populations, this may result in entirely avoidable unmet needs, suggesting that more should be done by healthcare professionals to recommend health-apps to older persons who are generally positive about their use. This may result in considerable improvements in healthy and independent ageing.

Long-term interplay between COVID-19 and chronic kidney disease

PURPOSE

The COVID-19 pandemic may have an impact on the long-term kidney function of survivors. The clinical relevance is not clear.

METHODS

This review summarises the currently published data.

RESULTS

There is a bidirectional relationship between chronic kidney disease and COVID-19 disease. Chronic kidney diseases due to primary kidney disease or chronic conditions affecting kidneys increase the susceptibility to COVID-19 infection, the risks for progression and critical COVID-19 disease (with acute or acute-on-chronic kidney damage), and death. Patients who have survived COVID-19 face an increased risk of worse kidney outcomes in the post-acute phase of the disease. Of clinical significance, COVID-19 may predispose surviving patients to chronic kidney disease, independently of clinically apparent acute kidney injury (AKI). The increased risk of post-acute renal dysfunction of COVID-19 patients can be graded according to the severity of the acute infection (non-hospitalised, hospitalised or ICU patients). The burden of chronic kidney disease developing after COVID-19 is currently unknown.

CONCLUSION

Post-acute COVID-19 care should include close attention to kidney function. Future prospective large-scale studies are needed with long and complete follow-up periods, assessing kidney function using novel markers of kidney function/damage, urinalysis and biopsy studies.

Long-Term Evolution of Activities of Daily Life (ADLs) in Critically Ill COVID-19 Patients, a Case Series

BACKGROUND

The most common long-term symptoms of critically ill COVID-19 patients are fatigue, dyspnea and mental confusion. Adequate monitoring of long-term morbidity, mainly analyzing the activities of daily life (ADLs), allows better patient management after hospital discharge. The aim was to report long-term ADL evolution in critically ill COVID-19 patients admitted to a COVID-19 center in Lugano (Switzerland).

METHODS

A retrospective analysis on consecutive patients discharged alive from ICU with COVID-19 ARDS was performed based on a follow-up one year after hospital discharge; ADLs were assessed through the Barthel index (BI) and the Karnofsky Performance Status (KPS) scale. The primary objective was to assess differences in ADLs at hospital discharge (acute ADLs) and one-year follow-up (chronic ADLs). The secondary objective was to explore any correlations between ADLs and multiple measures at admission and during the ICU stay.

RESULTS

A total of 38 consecutive patients were admitted to the ICU; a t-test analysis between acute and chronic ADLs through BI showed a significant improvement at one year post discharge (t = -5.211, p < 0.0001); similarly, every single task of BI showed the same results (p < 0.0001 for each task of BI). The mean KPS was 86.47 (SD 20.9) at hospital discharge and 99.6 at 1 year post discharge (p = 0.02). Thirteen (34%) patients deceased during the first 28 days in the ICU; no patient died after hospital discharge.

CONCLUSIONS

Based on BI and KPS, patients reached complete functional recovery of ADLs one year after critical COVID-19.

Correspondence between Aortic and Arterial Stiffness, and Diastolic Dysfunction in Apparently Healthy Female Patients with Post-Acute COVID-19 Syndrome

(1) Background: Abnormally increased arterial and aortic stiffness (AS and AoS), which are often associated with diastolic dysfunction (DD), represent common alterations in COVID-19. In this study, we aimed to assess, by transthoracic echocardiography (TTE) and pulse-wave velocity (PWV), the frequency of these dysfunctions in patients with post-acute COVID-19 syndrome and to highlight potential correlations between their severity and multiple clinical and laboratory parameters. (2) Methods: In total, 121 women were included in our study, all of whom were younger than 55 and had been diagnosed with post-COVID-19 syndrome. Of those women, 67 also had metabolic syndrome (MS) (group A), whereas the other 54 did not (group B); 40 age-matched healthy subjects were used as controls (group C). (3) Results: Patients in group A had worse values of indexes characterizing AS and AoS and had more frequent DD compared to those from group B and group C (p < 0.0001). The statistical analysis evidenced significant associations between these indexes and the time that had elapsed since COVID-19 diagnosis, the factors that characterize the severity of the acute disease and those that specify MS. Multivariate regression analysis identified the following as the main independent predictors for DD: values of the AoS index, the C-reactive protein, and the triglyceride-glucose index. (4) Conclusions: Altered AS, AoS, and DD are common in patients with post-COVID-19 syndrome, especially with concurrent MS, and these parameters are apparently associated not only with the severity and time elapsed since COVID-19 diagnosis but also with MS.

COVID-19 Pneumonia Followed by Anti-signal Recognition Particle Antibody-positive Fibrosing Interstitial Lung Disease: A Case Report

Coronavirus disease 2019 (COVID-19) pneumonia is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is frequently accompanied by various sequelae. Interstitial lung diseases (ILDs) are observed in COVID-19 pneumonia patients after recovery, probably due to persistent inflammation in the lungs. We herein report a case of ILD with anti-signal recognition particle antibodies following severe COVID-19 pneumonia. The patient was diagnosed with ILD three months after COVID-19 pneumonia. Although the exact mechanism is unknown, the autoantibody-induced immune response might have been the pulmonary fibrosis trigger in this patient.

Seroprevalence of COVID-19 infection in a densely populated district in the eastern Democratic Republic of Congo

Data on coronavirus disease 2019 (COVID-19) prevalence in the Democratic Republic of Congo are scarce. We conducted a cross-sectional study to determine the seroprevalence of antibodies against anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the slum of Kadutu, city of Bukavu, between June and September 2021. The survey participants were all unvaccinated against SARS-CoV-2. The crude seroprevalence rate was adjusted to the known characteristics of the assay. Participants aged 15-49 years old made up 80% of the population enrolled in the study (n = 507; 319 women and 188 men). The overall crude and adjusted seroprevalence rates of antibodies for COVID-19 were 59.7% (95% CI 55.4-63.9%) and 84.0% (95% CI 76.2-92.4%), respectively. This seroprevalence rate indicates widespread dissemination of SARS-CoV-2 in these communities. COVID-19 symptoms were either absent or mild in more than half of the participants with antibodies for COVID-19 and none of the participants with antibodies for COVID-19 required hospitalisation. These results suggest that SARS-CoV-2 spread did not appear to be associated with severe symptoms in the population of these settlements and that many cases went unreported in these densely populated locations. The relevance of vaccination in these communities should be thoroughly investigated.

Post-discharge clinical, laboratory and radiographic features of coronavirus disease 2019 (COVID-19) patients at university hospitals in Japan

Objectives

Coronavirus disease 2019 (COVID-19) has affected nearly half million people in Japan. However, information on the prolonged symptoms as well as laboratory and radiographic findings after hospital discharge remains limited.

Methods

We retrospectively collected the symptoms, laboratory test results, and chest imaging results of COVID-19 patients at the time of the hospital admission and the ambulatory visits after discharge at two university hospitals between July and December 2020.

Patients

A total of 126 COVID-19 patients, including of 88 with mild to moderate disease and 38 with severe to critical disease, were included. The time between symptom onset and the first outpatient visit was 46 days (Interquartile range, 39 to 55).

Results

At the ambulatory visits, 36.5% of patients had at least one symptom. The most frequent symptom was shortness of breath (12.8%), followed by cough (11.1%), and fatigue (8.8%). Of 120 patients with post-discharge laboratory test results, 27 patients (22.5%) had abnormal alanine aminotransferase levels, and 35 patients (29.1%) had lymphocytopenia, including 24 and 27 mild and moderate patients. Of 122 patients with post-discharge chest computed tomography (CT) scans, 105 (83.3%) had abnormal findings. This abnormality was found in both mild to moderate and severe patients.

Conclusions

Shortness of breath, abnormal liver function test results and chest CT images often persisted for at least one month after discharge, even when symptoms were mild or moderate during hospitalization.

The Polish Catholic Church in Martin Coronado, Buenos Aires, and its Role in the Life of the Argentinian Polish Community during the COVID-19 Pandemic

The objective of the article is to determine the role of the Catholic Church in the life of the Polish community in Argentina as exemplified by the Polish Catholic Centre in Martin Coronado during the pandemic caused by the SARS-Cov-2 coronavirus. The article presents opinions of the Polish community in Buenos Aires concerning the priestly service of the Bernardine friars during the pandemic. The research confirms that the Argentinian Polish community evaluates the work of the clergymen very highly and emphasises that thanks to their support, peace and constant contact through, inter alia, introduction of the broadcast of the masses in the Polish language, they felt the care and support of the priests, which was necessary during social isolation. The article will also present a proposal of the model of activities that Polish priests from Martin Coronado can implement during the COVID-19 pandemic so that the faithful feel even greater support and closeness to the Polish missionary centre in Argentina.

Mid-Term Sequelae of Surviving Patients Hospitalized in Intensive Care Unit for COVID-19 Infection: The REHCOVER Study

OBJECTIVES

The objective of this prospective, single-center study was to explore the mid-term outcomes 6 to 9 months after hospitalization in an Intensive Care Unit (ICU) for severe COVID-19 infection.

METHODS

Patients systematically underwent biological tests, pulmonary function tests, chest computed tomography (CT) scan, and psychological tests.

RESULTS

Among 86 patients, including 71 (82.6%) men, median age of 65.8 years (56.7; 72.4), 57 (71.3%) patients presented post-COVID-19 asthenia, 39 (48.1%) muscle weakness, and 30 (36.6%) arthralgia. Fifty-two (64.2%) patients had a decreased diffusion capacity for carbon monoxide (DLCO) <80% and 16 (19.8%) had DLCO <60%. Chest CT-scans showed ground glass opacities in 35 (40.7%) patients, and reticular changes in 28 patients (33.7%), including fibrosis-like changes in 18 (21.7%) patients. Reticular changes and DLCO <60% were associated with length of stay in ICU, and reticular changes with higher maximal CRP level. The psychological questionnaires found 37.7% suffered from depression, 23.5% from anxiety, 42.4% from insomnia, and 9.4% from post-traumatic stress. Being female was associated with a higher frequency of depression and anxiety, with depression scores being associated with obesity.

CONCLUSIONS

Many patients hospitalized in ICU for severe COVID-19 infection have mid-term sequelae. Additional studies on the prognostic factors seem necessary.

Effects of physical training on functional, clinical, morphological, behavioural and psychosocial outcomes in post-COVID-19 infection: COVID-19 and REhabilitation study (CORE-study)-a study protocol for a randomised controlled clinical trial

BACKGROUND

The COVID-19 pandemic remains ongoing, with a significant number of survivors who have experienced moderate to severe clinical conditions and who have suffered losses of great magnitude, especially in functional capacity, triggering limitations to daily autonomy and quality of life. Among the possibilities of intervention for disease rehabilitation, physical exercise training stands out, which can benefit several health outcomes and favours the adoption of healthier behaviours. Therefore, the aim of the study will be to analyse the effects of physical training on the functional, clinical, morphological, behavioural and psychosocial status in adults and the elderly following COVID-19 infection.

METHODS

A randomised controlled clinical trial is to be conducted in parallel, with the experimental group undergoing an intervention involving a multicomponent physical rehabilitation programme, carried out at the Sports Center in partnership with the Academic Hospital of the Federal University of Santa Catarina, in Florianópolis, Brazil. Participants will be adults and the elderly, of both sexes, in a post-COVID-19-infection state, who were hospitalised during the infection. The intervention will have a total duration of 24 weeks and will include a multicomponent physical training programme, which will have gradual progression in frequency, duration and intensity over time. Regarding the outcomes, before, at the 12th and after 24 weeks of intervention, functional (primary outcome = functional index of aerobic capacity), clinical, morphological, behavioural and psychosocial outcomes will be assessed.

DISCUSSION

This study will contribute to a greater understanding of the safety, adherence and benefits of physical training in the rehabilitation of post-COVID-19 patients. The results of this study will be disseminated through presentations at congresses, workshops, peer-reviewed publications and local and international conferences, especially with a view to proposing a post-COVID-19 rehabilitation care protocol.

TRIAL REGISTRATION

ReBEC, RBR-10y6jhrs . Registered on 22 February 2022. 2015.

Clinical Characterization of the Persistent COVID-19 Symptoms: A Descriptive Observational Study in Primary Care

INTRODUCTION

Evidence and clinical experience suggest that there are a range of signs of health issues that affect patients who have recovered from acute COVID-19 infection. This condition is commonly referred to as "persistent COVID-19," which is not connected with the severity of the disease. We have identified the prevalence and clinical-epidemiological characteristics of patients with COVID-19 and persistent symptoms treated in primary care centers. This is a descriptive observational study conducted between December 2020 and May 2022, the data were collected from digitized medical records and interviewing 1542 individuals with laboratory-confirmed SARS-CoV-2 infection. These patients were clinically followed for up to 1 year, based on the prevalence of symptoms. When stratifying by the risk of developing persistent COVID-19, 37.09% of the patients exhibited risk factors, with age (over 60 years) and cardiovascular risk factors predominating. The obtained prevalence of persistent COVID-19 at 90 days was 12.39%, with a slight predominance in females (55%) and a mean age of 45.8 years. The most affected systems were the cardiovascular, respiratory, and psychoneurological systems, with predominant symptoms of fatigue (41.88%), dyspnea (32.46%), and headache (14.66%), among others. The average duration of persistent symptoms was 178 days, equivalent to 6 months. In conclusion, over 10% of patients who recover from acute SARS-CoV-2 infection developed long-term consequences.

OBJECTIVE

To measure the prevalence and clinical-epidemiological characteristics of individuals diagnosed with COVID-19 and persistent symptoms treated in primary care centers in Área Sanitaria Sur de Córdoba (Spain) between December 2020 and May 2022.

METHODS

A retrospective observational study of the population of Área Sanitaria Sur de Córdoba was developed between December 2020 and May 2022. The scope of the study was 1542 individuals, and the prevalence of patients diagnosed with COVID-19 and persistent symptoms was determined based on laboratory-confirmed cases, randomly selected from adults who had progressed beyond the acute phase of the disease. All data were managed by the Área Sanitaria Sur de Córdoba (Spain).

RESULTS

The risk factor of exhibiting one or more risk factors associated with developing persistent COVID-19 is 37.09%. The obtained prevalence of persistent COVID-19 at 90 days is 12.39%, it is higher in females (55%) than males and the mean age was 45.8 years. The most affected systems were the cardiovascular, respiratory, and psychoneurological systems, with predominant symptoms of fatigue (41.88%), dyspnea (32.46%), and headache (14.66%), among others.

CONCLUSIONS

Results confirm that more than 10% of individuals recovering from acute SARS-CoV-2 infection showed long-term consequences and the observed persistent symptom duration was 178 days on average.

A comprehensive review on variants of SARS-CoVs-2: Challenges, solutions and open issues

SARS-CoV-2 is an infected disease caused by one of the variants of Coronavirus which emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 outbreak has put the world on a halt and is a major threat to the public health system. It has shattered the world with its effects on different areas as the pandemic hit the world in a number of waves with different variants and mutations. Each variant and mutation have different transmission and infection rates in the human population. More than 609 million people have tested positive and more than 6.5 million people have died due to this disease as per 14th September 2022. Despite of numerous efforts, precautions and vaccination the infection has grown rapidly in the world. In this paper, we aim to give a holistic overview of COVID-19 its variants, game theory perspective, effects on the different social and economic areas, diagnostic advancements, treatment methods. A taxonomy is made for the proper insight of the work demonstrated in the paper. Finally, we discuss the open issues associated with COVID-19 in different fields and futuristic research trends in the area. The main aim of the paper is to provide comprehensive literature that covers all the areas and provide an expert understanding of the COVID-19 techniques and potentially be further utilized to combat the outbreak of COVID-19.

Impact of the COVID-19 pandemic on patients with rheumatoid arthritis: data from the Ontario Best Practices Research Initiative (OBRI)

Objective

The coronavirus disease 2019 (COVID-19) pandemic created challenges for patients with RA. We examined the potential impact of the pandemic on patient-reported outcomes (PROs), disease activity and medication profiles, comparing the periods pre-pandemic and during the pandemic.

Methods

Patients enrolled in the Ontario Best Practices Research Initiative were included if they had at least one visit to a physician or study interviewer within 12 months before and after the start of pandemic-related closures in Ontario (15 March 2020). Baseline characteristics, disease activity, PROs [i.e. health assessment questionnaire disability index, RA disease activity index (RADAI), European quality of life five-dimension questionnaire], medication use and changes were included. Student's paired two-sample t-tests and McNamar's tests were performed for continuous and categorical variables between time periods.

Results

The sample for analysis consisted of 1508 patients, with a mean (s.d.) age of 62.7 (12.5) years, and 79% were female. Despite decreases in the number of in-person visits during the pandemic, there was no significant negative impact on disease activity or PRO scores. The DASs in both periods remained low, with either no clinically significant differences or slight improvement. Scores for mental, social and physical health were either stable or improved. There were statistically significant decreases in conventional synthetic DMARD use (P < 0.0001) and increased Janus kinase inhibitor usage (P = 0.0002). Biologic DMARD use remained stable throughout the pandemic.

Conclusion

In this cohort, disease activity and PROs of RA patients remained stable during the COVID-19 pandemic. The longer-term outcomes of the pandemic warrant investigation.

Mapping of functional SARS-CoV-2 receptors in human lungs establishes differences in variant binding and SLC1A5 as a viral entry modulator of hACE2

BACKGROUND

The COVID-19 pandemic is an infectious disease caused by SARS-CoV-2. The first step of SARS-CoV-2 infection is the recognition of angiotensin-converting enzyme 2 (ACE2) receptors by the receptor-binding domain (RBD) of the viral Spike (S) glycoprotein. Although the molecular and structural bases of the SARS-CoV-2-RBD/hACE2 interaction have been thoroughly investigated in vitro, the relationship between hACE2 expression and in vivo infection is less understood.

METHODS

Here, we developed an efficient SARS-CoV-2-RBD binding assay suitable for super resolution microscopy and simultaneous hACE2 immunodetection and mapped the correlation between hACE2 receptor abundance and SARS-CoV-2-RBD binding, both in vitro and in human lung biopsies. Next, we explored the specific proteome of SARS-CoV-2-RBD/hACE2 through a comparative mass spectrometry approach.

FINDINGS

We found that only a minority of hACE2 positive spots are actually SARS-CoV-2-RBD binding sites, and that the relationship between SARS-CoV-2-RBD binding and hACE2 presence is variable, suggesting the existence of additional factors. Indeed, we found several interactors that are involved in receptor localization and viral entry and characterized one of them: SLC1A5, an amino acid transporter. High-resolution receptor-binding studies showed that co-expression of membrane-bound SLC1A5 with hACE2 predicted SARS-CoV-2 binding and entry better than hACE2 expression alone. SLC1A5 depletion reduces SARS-CoV-2 binding and entry. Notably, the Omicron variant is more efficient in binding hACE2 sites, but equally sensitive to SLC1A5 downregulation.

INTERPRETATION

We propose a method for mapping functional SARS-CoV-2 receptors in vivo. We confirm the existence of hACE2 co-factors that may contribute to differential sensitivity of cells to infection.

FUNDING

This work was supported by an unrestricted grant from "Fondazione Romeo ed Enrica Invernizzi" to Stefano Biffo and by AIRC under MFAG 2021 - ID. 26178 project - P.I. Manfrini Nicola.

Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors

BACKGROUND

Despite an abundance of information on the risk factors of SARS-CoV-2, there have been few US-wide studies of long-term effects. In this paper we analyzed a large medical claims database of US based individuals to identify common long-term effects as well as their associations with various social and medical risk factors.

METHODS

The medical claims database was obtained from a prominent US based claims data processing company, namely Change Healthcare. In addition to the claims data, the dataset also consisted of various social determinants of health such as race, income, education level and veteran status of the individuals. A self-controlled cohort design (SCCD) observational study was performed to identify ICD-10 codes whose proportion was significantly increased in the outcome period compared to the control period to identify significant long-term effects. A logistic regression-based association analysis was then performed between identified long-term effects and social determinants of health.

RESULTS

Among the over 1.37 million COVID patients in our datasets we found 36 out of 1724 3-digit ICD-10 codes to be statistically significantly increased in the post-COVID period (p-value < 0.05). We also found one combination of ICD-10 codes, corresponding to 'other anemias' and 'hypertension', that was statistically significantly increased in the post-COVID period (p-value < 0.05). Our logistic regression-based association analysis with social determinants of health variables, after adjusting for comorbidities and prior conditions, showed that age and gender were significantly associated with the multiple long-term effects. Race was only associated with 'other sepsis', income was only associated with 'Alopecia areata' (autoimmune disease causing hair loss), while education level was only associated with 'Maternal infectious and parasitic diseases' (p-value < 0.05).

CONCLUSION

We identified several long-term effects of SARS-CoV-2 through a self-controlled study on a cohort of over one million patients. Furthermore, we found that while age and gender are commonly associated with the long-term effects, other social determinants of health such as race, income and education levels have rare or no significant associations.

The effects of long COVID-19, its severity, and the need for immediate attention: Analysis of clinical trials and Twitter data

Background

The coronavirus disease 2019 (COVID-19) has been declared a pandemic since March 2020 by the World Health Organization; identifying the disease progression, predicting patient outcomes early, the possibility of long-term adverse events through effective modeling, and the use of real-world data are of immense importance to effective treatment, resource allocation, and prevention of severe adverse events of grade 4 or 5.

Methods

First, we raise awareness about the different clinical trials on long COVID-19. The trials were selected with the search term "long COVID-19" available in ClinicalTrials.gov. Second, we curated the recent tweets on long-haul COVID-19 and gave an overview of the sentiments of the people. The tweets obtained with the query term #long COVID-19 consisted of 8,436 tweets between 28 August 2022 and 06 September 2022. We utilized the National Research Council (NRC) Emotion Lexicon method for sentiment analysis. Finally, we analyze the retweet and favorite counts are associated with the sentiments of the tweeters via a negative binomial regression model.

Results

Our results find that there are two types of clinical trials being conducted: observational and interventional. The retweet counts and favorite counts are associated with the sentiments and emotions, such as disgust, joy, sadness, surprise, trust, negative, and positive.

Conclusion

We need resources and further research in the area of long COVID-19.

How pragmatic are randomized trials of remdesivir and favipiravir for in-hospital treatment of COVID-19: a descriptive methodological review of trial design using the PRECIS-2 framework

OBJECTIVES

To review the pragmatism of published randomized trials of remdesivir and favipiravir based on the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS-2) framework.

STUDY DESIGN AND SETTING

Ten eligible trials were identified from an existing comprehensive living review and were evaluated across the nine PRECIS-2 domains by two independent reviewers.

RESULTS

All 10 trials had mostly pragmatic design characteristics. Four of the domains (i.e., recruitment, setting, organization, and primary analysis) were found to be pragmatic with most trials scoring four or five across the two interventions. In comparison scores for four other design domains (i.e., eligibility, follow-up, flexibility of delivery, and primary outcome) varied across the trials with some design choices being more explanatory.

CONCLUSION

In our descriptive review of randomized controlled trails for two drugs for patients infected with COVID-19 early in the pandemic, we found that most trials had more pragmatic than explanatory characteristics. Some design choices for some of the trials, however, were not consistent with the urgent goal of informing clinical decision making in an epidemic. PRECIS-2 should be used as a guide by trialists, to help them match their trial design choices to the intended purpose of their trial.

Does COVID-19 Escalate Aging Process? A Possible Concern

A key challenge after the COVID-19 pandemic will be managing the long-term sequelae for the millions of individuals who recover from the disease. Based on the available evidence, our hypothesis is that the SARS-CoV-2 pandemic and its long-term complications will lead to premature aging (in terms of health) of many people in the world. Obviously, to maintain appropriate public health and prevent poor health-care services, countries should think and plan about the health problems and the long-term consequences of SARS-CoV-2 after controlling the COVID-19 pandemic.

Brain fog as a Long-term Sequela of COVID-19

Increasing data indicate that people infected with COVID-19 are at high risk for developing long-term neurological complications, such as "brain fog" or cognitive impairment. However, little is known about the long-term outcomes of COVID-19 survivors. This also applies to the prevalence, risk factors, and pathobiological findings associated with these consequences. Although cognitive complications are anticipated in patients who require a long-lasting hospital stay or intubation, milder cases of COVID-19 with no record of hospitalization have also been shown to experience assessable cognitive challenges. Cognitive impairment can have a devastating impact on daily functioning. Understanding the long-term effect of COVID-19 on cognitive function is vital for applying specific schemes to those who wish to return to their jobs productively.

Proteolysis and Deficiency of α1-Proteinase Inhibitor in SARS-CoV-2 Infection

The SARS-CoV-2 pandemic had stimulated the emergence of numerous publications on the α1-proteinase inhibitor (α1-PI, α1-antitrypsin), especially when it was found that the regions of high mortality corresponded to the regions with deficient α1-PI alleles. By analogy with the data obtained in the last century, when the first cause of the genetic deficiency of α1-antitrypsin leading to elastase activation in pulmonary emphysema was proven, it can be supposed that proteolysis hyperactivation in COVID-19 may be associated with the impaired functions of α1-PI. The purpose of this review was to systematize the scientific data and critical directions for translational studies on the role of α1-PI in SARS-CoV-2-induced proteolysis hyperactivation as a diagnostic marker and a therapeutic target. This review describes the proteinase-dependent stages of viral infection: the reception and penetration of the virus into a cell and the imbalance of the plasma aldosterone-angiotensin-renin, kinin, and blood clotting systems. The role of ACE2, TMPRSS, ADAM17, furin, cathepsins, trypsin- and elastase-like serine proteinases in the virus tropism, the activation of proteolytic cascades in blood, and the COVID-19-dependent complications is considered. The scientific reports on α1-PI involvement in the SARS-CoV-2-induced inflammation, the relationship with the severity of infection and comorbidities were analyzed. Particular attention is paid to the acquired α1-PI deficiency in assessing the state of patients with proteolysis overactivation and chronic non-inflammatory diseases, which are accompanied by the risk factors for comorbidity progression and the long-term consequences of COVID-19. Essential data on the search and application of protease inhibitor drugs in the therapy for bronchopulmonary and cardiovascular pathologies were analyzed. The evidence of antiviral, anti-inflammatory, anticoagulant, and anti-apoptotic effects of α1-PI, as well as the prominent data and prospects for its application as a targeted drug in the SARS-CoV-2 acquired pneumonia and related disorders, are presented.

Influencing factors of anxiety and depression of discharged COVID-19 patients in Wuhan, China

Objectives

This study is intended to assess the prevalence of depression and anxiety in individuals who had recovered from COVID-19 and been discharged from hospital (RD hereafter) in Wuhan, China, and to explore the factors associated with these mental disorders.

Methods

Participants of this study were the RD who were infected at the beginning of the outbreak from 13 communities in Jianghan District of Wuhan City, Hubei Province, China by convenience sampling in mid-2021. The Generalized Anxiety Disorder Questionnaire, the Patient Health Questionnaire, the Short Version of COVID-19 Stigma Scale, the Peace of Mind Scale, the Resilience Style Questionnaire, and the Perceived Social Support Questionnaire were used to collect relevant information of the participants. Descriptive analyses, Pearson correlation analysis, and logistic regression analysis were used to describe and analyze the data and to examine the factors associated with the mental health status of this population.

Results

In total, we recruited 1601 participants from 3059 COVID-19 patients, and 1541 participants completed the questionnaire survey, with a response rate of 96.25%. Finally, 1297 participants met the inclusion and exclusion criteria in this study, of whom 28.8% and 37.9% reported mild to severe levels of anxiety and depression symptoms. Perceived better mental health status during hospitalization, higher frequency of alcohol use per week, peace of mind, higher education level, and resilience were negatively associated with anxiety, while stigma and history of psychological or emotional counseling before infection was positively associated with anxiety. More severe clinical classification of COVID-19 and stigma (AOR = 1.057, P<0.001) were both positively associated with depression, while perceived better mental health status during hospitalization (AOR = 0.564, P<0.001), higher frequency of alcohol use per week (AOR = 0.462, P = 0.004), peace of mind (AOR = 0.857, P<0.001), and social support (AOR = 0.972, P = 0.034) were negatively associated with depression.

Conclusions

Tailored interventions on reducing stigma, enhancing mindfulness and social support should be taken into account to alleviate anxiety and depression among RD.

Innate immune imprints in SARS-CoV-2 Omicron variant infection convalescents

SARS-CoV-2 Omicron variant infection generally gives rise to asymptomatic to moderate COVID-19 in vaccinated people. The immune cells can be reprogrammed or "imprinted" by vaccination and infections to generate protective immunity against subsequent challenges. Considering the immune imprint in Omicron infection is unclear, here we delineate the innate immune landscape of human Omicron infection via single-cell RNA sequencing, surface proteome profiling, and plasma cytokine quantification. We found that monocyte responses predominated in immune imprints of Omicron convalescents, with IL-1β-associated and interferon (IFN)-responsive signatures with mild and moderate symptoms, respectively. Low-density neutrophils increased and exhibited IL-1β-associated and IFN-responsive signatures similarly. Mild convalescents had increased blood IL-1β, CCL4, IL-9 levels and PI3⁺ neutrophils, indicating a bias to IL-1β responsiveness, while moderate convalescents had increased blood CXCL10 and IFN-responsive monocytes, suggesting durative IFN responses. Therefore, IL-1β- or IFN-responsiveness of myeloid cells may indicate the disease severity of Omicron infection and mediate post-COVID conditions.

The Long-COVID Experience Changed People's Vaccine Hesitancy but Not Their Vaccination Fear

Starting in early 2020, the COVID-19 pandemic has been responsible, worldwide, for millions of deaths and patients with long-COVID syndrome. In an attempt to stop the spread of the virus, the blanket administration of COVID-19 vaccines proved to be the most effective measure, yet the existence and availability of functional vaccines did not and, still, do not ensure the willingness and intent of people to be vaccinated. This study assessed the similarities and differences in vaccine fears and vaccine hesitancy through between clusters of subjects: people that were not infected with COVID-19, people that had COVID but did not develop long-lasting symptoms, and people that were infected with COVID and developed long-COVID syndrome. From the sample of 1111 Italian people, it was found that individuals who experienced mild symptoms showed higher vaccine hesitancy (confidence, complacency, and collective responsibility) than those who did not contract COVID-19. People affected by long-COVID showed a lower overall hesitancy than individuals who had COVID-19 without incurring long-lasting symptoms and, thus, essentially resembled people who had no experience of COVID-19 infection in terms of the vaccine hesitancy scores. Vaccine fear remained unchanged across all three of the examined clusters.

Are Attitudes towards COVID-19 Pandemic Related to Subjective Physical and Mental Health?

In this paper, we investigate the relationship between a person's psychological distress, subjective physical health and their attitudes towards the COVID-19 pandemic. The evaluation was performed on the basis of data from two waves of the Saxon Longitudinal Study, carried out in 2019 (pre-pandemic) and 2021. The number of study participants in both waves was 291. We tested in autoregressive cross-lagged models the stability of the respondents' health status before and during the pandemic and reviewed their influence on attitudes towards COVID-19. Our results show that COVID-19-related concerns are controlled by subjective physical health, while pandemic denial is linked to psychological distress. In an unknown and critical situation, with limited control over the situation, the strategy of avoidance or suppression may be used by individuals for protection by psychologically downplaying the stressor and danger.

Musculoskeletal Components of Post-Acute Sequelae of SARS-CoV-2 Infections

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Musculoskeletal (MSK) sequelae of severe acute respiratory syndrome coronavirus 2 infections seem to be common.

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Mechanisms of such effects are becoming clear.

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There is a complex interplay of biopsychosocial effects associated with MSK symptoms after acute coronavirus disease 2019.

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Additional research should focus on completely describing the breadth of these MSK sequelae and related psychosocial symptoms.

Changes in Electrical Brain Activity and Cognitive Functions Following Mild to Moderate COVID-19: A one-Year Prospective Study After Acute Infection

The coronavirus disease 2019 (COVID-19) can disrupt various brain functions. Over a one-year period, we aimed to assess brain activity and cognitive function in 53 COVID-19 patients and 30 individuals without COVID-19 (or asymptomatic). The Montreal Cognitive Assessment, Trail Making Test Parts A and B (TMT-A and B), and Digit Span Test were used to assess cognitive function. Cognitive variables and electroencephalography (EEG) data (activity, mobility, and complexity) were compared between the groups at rest and during cognitive demand (F3-F7, Fz-F3, Fz-F4, and F4-F8). There was a reduction in F3-F7 activity during the TMT-B in the COVID-19 group at 6-12 months compared to the controls (p = 0.01) at baseline (p = 0.03), a reduction in signal complexity at F3-F7 at rest in the COVID-19 group at baseline and 6-12 months compared to the controls (p < 0.001), and a reduction in Fz-F4 activity at rest from 6-12 months in the post-COVID group compared to baseline (p = 0.02) and 3-6 months (p = 0.04). At 6-12 months, there was a time increase in TMT-A in the COVID-19 group compared to that in the controls (p = 0.04). Some correlations were found between EEG data and cognitive test in both groups. In conclusion, there was a reduction in brain activity at rest in the Fz-F4 areas and during high cognitive demands in the F3-F7 areas. A reduction in signal complexity in F3-F7 at rest was found in the COVID-19 group at 6-12 months after acute infection. Furthermore, individuals with COVID-19 experience long-term changes in cognitive function.

Post-traumatic stress disorder, anxiety, and depression symptoms in healthcare workers during COVID-19 pandemic in Colombia

Background

Mental health outcomes in healthcare workers (HCWs) in low- and middle-income countries (LMICs) have been poorly explored during COVID-19 pandemic. Our aim was to carry out a cross-sectional study of the prevalence of mental health symptoms in HCWs in Colombia.

Methods

A cross-sectional web-survey study was performed during the COVID-19 pandemic mid-2021 including HCWs in two hospitals in Colombia. The PCL-5, GAD-7, and PHQ-9 scales were used to assess the prevalence of symptoms and severity of PTSD, anxiety, and depression in Colombia.

Results

From 257 surveyed respondents, 44.36% were nurses, 36.58% physicians and 19.07% other health professionals. The prevalence of PTSD, anxiety, and depressive symptoms were 18.68%, 43.19%, and 26.85%, amongst HCWs. The regression model evidence a strong risk of PTSD, anxiety, and depressive symptoms in HCWs in Colombia during the second wave of COVID-19 in the middle of 2021.

Conclusions

The prevalence for several mental health symptoms in HCWs in Colombia were higher compared with the general population. HCWs are at-risk population to develop chronic symptoms and mental disorders during and after outbreaks. These results will be helpful to tailor strategies to support the physical and mental health of the HCWs in LMICs.

Recovering from COVID-19: lessons learnt from an intensive secondary care follow-up service

In response to the first COVID-19 surge in 2020, secondary care outpatient services were rapidly reconfigured to provide specialist review for disease sequelae. At our institution, comprising hospitals across three sites in London, we initially implemented a COVID-19 follow-up pathway that was in line with expert opinion at the time but more intensive than initial clinical guidelines suggested. We retrospectively evaluated the resource requirements for this service, which supported 526 patients from April 2020 to October 2020. At the 6-week review, 193/403 (47.9%) patients reported persistent breathlessness, 46/336 (13.7%) desaturated on exercise testing, 167/403 (41.4%) were discharged from COVID-19-related secondary care services and 190/403 (47.1%) needed 12-week follow-up. At the 12-week review, 113/309 (36.6%) patients reported persistent breathlessness, 30/266 (11.3%) desaturated on exercise testing and 150/309 (48.5%) were discharged from COVID-19-related secondary care services. Referrals were generated to multiple medical specialties, particularly respiratory subspecialties. Our analysis allowed us to justify rationalising and streamlining provisions for subsequent COVID-19 waves while reassured that opportunities for early intervention were not being missed.

Impact of an Education Intervention on COVID-19 Vaccine Hesitancy in a Military Base Population

BACKGROUND

Coronavirus disease 2019 (COVID-19) vaccine hesitancy is a major impediment to achieving herd immunity and overcoming the current pandemic. Our aim was to decrease the prevalence of vaccine hesitancy through an education intervention.

METHOD

An education intervention, consisting of a PowerPoint presentation addressing the two mRNA COVID-19 vaccine concerns/myths and a question and answer panel comprising health care providers from various specialties, was implemented to address vaccine hesitancy among personnel associated with Wright-Patterson Air Force Base through a series of virtual and in-person seminars. Participants completed a post-seminar survey as a retrospective self-assessment to identify attitudes and views surrounding vaccine hesitancy and the impact of the education intervention. Chi-squared test was used to examine relationships between categorical variables, and multiple logistic regression was used to identify risk factors for vaccine hesitancy pre- and post-seminar. All analyses were done using SPSS Statistics Version 25.0 (IBM, Armonk, NY). Institutional Review Board approval was not obtained before this study as it began as a non-research initiative and received non-research determination post hoc.

RESULTS

Five hundred participants completed the survey. Mean age was 44.7 years with 13.4 and 86.6% medical and non-medical personnel, respectively. Nearly all (98.8%) had not received their first shot of the vaccine series. 402 (80.9%) were receptive to vaccination, and 95 (19.1%) were hesitant post-seminar. Of the 139 participants who reported they were initially hesitant after our intervention, 50 (36%) indicated that they were now receptive to the vaccine, while 89 (64%) remained hesitant. Of those 50, 48 (96%) had moderate to great amount of trust in COVID-19 vaccine information presented by physicians/other providers. Six respondents who wanted the vaccine before the intervention no longer wanted the vaccine. A medical occupation (OR = 4.85, 95% CI = 2.63-8.96, P < .001), little or no trust in COVID-19 vaccine information from physicians/other providers (OR = 19.48, 95% CI = 7.31-51.90, P < 0.001), and being age 30 or younger (OR = 1.81, 95% CI = 1.02-3.2, P = 0.041) were independent predictors of vaccine hesitancy. Trust in providers was a significant factor in change of intent from vaccine hesitant to receptive post-intervention (OR 0.13, 95% CI = 0.03-0.59, P = .008). Age and occupation were not significant factors associated with change in intent.

CONCLUSION

Our education intervention was effective in reducing COVID-19 vaccine hesitancy in a military base population. Study limitations include applications toward other military and non-military populations, the possibility of nonresponse bias, and absence of prior validated interventions. Area for future studies includes improvement upon educational intervention, development of other effective methods, and application of intervention in other populations.

Massachusetts Flu Vaccination and Application for COVID-19 Routine Vaccination Planning

Background

SARS-CoV-2 has affected communities of color at disproportionate rates. In particular, Black Americans have higher COVID-19 mortality rates, rooted in health disparities and institutionalized racism. We describe Massachusetts (MA) influenza (flu) vaccination data by race and vaccination location to inform yearly COVID-19 vaccination plans.

Methods

We analyzed self-reported, pooled data from the 2017, 2018, and 2019 Massachusetts Behavioral Risk Factor Surveillance System (MA-BRFSS) of adults. Using the questions around race and ethnicity and flu vaccination, we calculated location types most visited as a percent of people receiving flu vaccine, stratified by race.

Results

The 3 years combined yielded 6,031 completed surveys. Compared to White non-Hispanics, Black non-Hispanics, Hispanics, and other non-White adults combined reported flu vaccination less frequently (p<0.01). Doctor's office or a health maintenance organization (HMO) were the primary flu vaccination locations among all race subcategories. Within each race category, the top three locations covered 82.7% of White respondents, while covering only 75.9% of Hispanic respondents, and 71.0% of Black respondents. Fewer Hispanic (16.1%) and Black respondents (13.8%) were vaccinated at supermarkets or drug stores compared to White respondents (25.2%).

Conclusion

As COVID-19 vaccination will likely be a yearly occurrence, the above findings can help support future COVID-19 vaccination plans. Since the frequency and location of receipt of flu vaccination varied by race/ethnicity in Massachusetts, the state should ensure specific COVID-19 vaccination locations are available going forward.

An alternative mechanism for skeletal muscle dysfunction in long-term post-viral lung disease

Chronic lung disease is often accompanied by disabling extrapulmonary symptoms, notably skeletal muscle dysfunction and atrophy. Moreover, the severity of respiratory symptoms correlates with decreased muscle mass and in turn lowered physical activity and survival rates. Previous models of muscle atrophy in chronic lung disease often modeled COPD and relied on cigarette smoke exposure and LPS-stimulation, but these conditions independently affect skeletal muscle even without accompanying lung disease. Moreover, there is an emerging and pressing need to understand the extrapulmonary manifestations of long-term post-viral lung disease (PVLD) as found in Covid-19. Here, we examine the development of skeletal muscle dysfunction in the setting of chronic pulmonary disease using a mouse model of PVLD caused by infection due to the natural pathogen Sendai virus. We identify a significant decrease in myofiber size when PVLD is maximal at 49 d after infection. We find no change in the relative types of myofibers, but the greatest decrease in fiber size is localized to fast-twitch type IIB myofibers based on myosin heavy chain immunostaining. Remarkably, all biomarkers of myocyte protein synthesis and degradation (total RNA, ribosomal abundance, and ubiquitin-proteasome expression) were stable throughout the acute infectious illness and chronic post-viral disease process. Together, the results demonstrate a distinct pattern of skeletal muscle dysfunction in a mouse model of long-term PVLD. The findings thereby provide new insight into prolonged limitations in exercise capacity in patients with chronic lung disease after viral infections and perhaps other types of lung injury.

Quantum tunnelling in the context of SARS-CoV-2 infection

The SARS-CoV-2 pandemic has added new urgency to the study of viral mechanisms of infection. But while vaccines offer a measure of protection against this specific outbreak, a new era of pandemics has been predicted. In addition to this, COVID-19 has drawn attention to post-viral syndromes and the healthcare burden they entail. It seems integral that knowledge of viral mechanisms is increased through as wide a research field as possible. To this end we propose that quantum biology might offer essential new insights into the problem, especially with regards to the important first step of virus-host invasion. Research in quantum biology often centres around energy or charge transfer. While this is predominantly in the context of photosynthesis there has also been some suggestion that cellular receptors such as olfactory or neural receptors might employ vibration assisted electron tunnelling to augment the lock-and-key mechanism. Quantum tunnelling has also been observed in enzyme function. Enzymes are implicated in the invasion of host cells by the SARS-CoV-2 virus. Receptors such as olfactory receptors also appear to be disrupted by COVID-19. Building on these observations we investigate the evidence that quantum tunnelling might be important in the context of infection with SARS-CoV-2. We illustrate this with a simple model relating the vibronic mode of, for example, a viral spike protein to the likelihood of charge transfer in an idealised receptor. Our results show a distinct parameter regime in which the vibronic mode of the spike protein enhances electron transfer. With this in mind, novel therapeutics to prevent SARS-CoV-2 transmission could potentially be identified by their vibrational spectra.

[Evolution and quality of life at three months after hospitalization for COVID pneumonia]

OBJECTIVE

Assess clinical evolution and health-related quality of life at three months after discharge in patients who were admitted and diagnosed with COVID-19 pneumonia, evaluated by the Rehabilitation Service and received physiotherapy in Fuenlabrada Hospital.

METHODS

Data were collected from 59 patients, separating those who were assessed in ICU (41 patients) from those assessed in the hospital ward (18). Data were obtained from their Electronic Medical Record, and a telephone interview was performed three months after their discharge. Data about their clinical progress during their hospitalization, after discharge, over the next months and their condition at the time of the interview is analyzed. Patients were asked to assess the quality of the physiotherapy received and to answer the SF-36 health-related quality of life questionnaire.

RESULTS

These patients had the worst progress of the COVID pneumonia among all patients hospitalized in our hospital, but they had a good functional recovery with the inpatient physiotherapy received, which was positively rated. After three months, 84% have persistent symptoms, with the most common being dyspnoea, fatigue and anxiety/depression, and score worse in the SF-36 questionnaire than the reference population.

CONCLUSIONS

Most patients who require rehabilitation during their COVID pneumonia admission have persistent symptoms and perceive a deterioration in their health-related quality of life after three months of discharge.

The Impact of COVID-19 on Physician-Scientist Trainees and Faculty in the United States: A National Survey

PURPOSE

Physician-scientists have long been considered an endangered species, and their extended training pathway is vulnerable to disruptions. This study investigated the effects of COVID-19-related challenges on the personal lives, career activities, stress levels, and research productivity of physician-scientist trainees and faculty.

METHOD

The authors surveyed medical students (MS), graduate students (GS), residents/fellows (R/F), and faculty (F) using a tool distributed to 120 U.S. institutions with MD-PhD programs in April-June 2020. Chi-square and Fisher's exact tests were used to compare differences between groups. Machine learning was employed to select variables for multivariate logistic regression analyses aimed at identifying factors associated with stress and impaired productivity.

RESULTS

The analyses included 1,929 respondents (MS: n = 679, 35%; GS: n = 676, 35%; R/F: n = 274, 14%; F: n = 300, 16%). All cohorts reported high levels of social isolation, stress from effects of the pandemic, and negative impacts on productivity. R/F and F respondents were more likely than MS and GS respondents to report financial difficulties due to COVID-19. R/F and F respondents with a dual degree expressed more impaired productivity compared with those without a dual degree. Multivariate regression analyses identified impacted research/scholarly activities, financial difficulties, and social isolation as predictors of stress and impaired productivity for both MS and GS cohorts. For both R/F and F cohorts, impacted personal life and research productivity were associated with stress, while dual-degree status, impacted research/scholarly activities, and impacted personal life were predictors of impaired productivity. More female than male respondents reported increased demands at home.

CONCLUSIONS

This national survey of physician-scientist trainees and faculty found a high incidence of stress and impaired productivity related to the COVID-19 pandemic. Understanding the challenges faced and their consequences may improve efforts to support the physician-scientist workforce in the postpandemic period.

Recent advances in the vaccine development for the prophylaxis of SARS Covid-19

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-caused Coronavirus Disease 2019 (COVID-19) is currently a global pandemic that has wreaked havoc on public health, lives, and the global economy. The present COVID-19 outbreak has put pressure on the scientific community to develop medications and vaccinations to combat COVID-19. However, according to highly optimistic forecasts, we could not have a COVID-19 vaccine until September 2020. This is due to the fact that a successful COVID-19 vaccine will necessitate a careful validation of effectiveness and adverse reactivity given that the target vaccine population includes high-risk people over 60, particularly those with severe co-morbid conditions, frontline healthcare professionals, and those involved in essential industrial sectors. For passive immunization, which is being considered for Covid-19, there are several platforms for vaccine development, each with its own advantages and disadvantages. The COVID-19 pandemic, which is arguably the deadliest in the last 100 years after the Spanish flu, necessitates a swift assessment of the various approaches for their ability to incite protective immunity and safety to prevent unintended immune potentiation, which is crucial to the pathogenesis of this virus. Considering the pandemic's high fatality rate and rapid spread, an efficient vaccination is critical for its management. As a result, academia, industry, and government are collaborating in unprecedented ways to create and test a wide range of vaccinations. In this review, we summarize the Covid-19 vaccine development initiatives, recent trends, difficulties, comparison between traditional vaccines development and Covid-19 vaccines development also listed the approved/authorized, phase-3 and pre-clinical trials Covid-19 vaccines in different countries.

A distinct symptom pattern emerges for COVID-19 long-haul: a nationwide study

Long-haul COVID-19, also called post-acute sequelae of SARS-CoV-2 (PASC), is a new illness caused by SARS-CoV-2 infection and characterized by the persistence of symptoms. The purpose of this cross-sectional study was to identify a distinct and significant temporal pattern of PASC symptoms (symptom type and onset) among a nationwide sample of PASC survivors (n = 5652). The sample was randomly sorted into two independent samples for exploratory (EFA) and confirmatory factor analyses (CFA). Five factors emerged from the EFA: (1) cold and flu-like symptoms, (2) change in smell and/or taste, (3) dyspnea and chest pain, (4) cognitive and visual problems, and (5) cardiac symptoms. The CFA had excellent model fit (x2 = 513.721, df = 207, p < 0.01, TLI = 0.952, CFI = 0.964, RMSEA = 0.024). These findings demonstrate a novel symptom pattern for PASC. These findings can enable nurses in the identification of at-risk patients and facilitate early, systematic symptom management strategies for PASC.