ABSTRACT
BackgroundThe clinical sequelae (Long Covid) of acute Covid-19 are recognised globally, yet the risk of developing them is unknown. MethodsA living systematic review (second version). Bibliographical records from the C19 Living Map Long Covid segment (22nd February 2022), Medline, CINAHL, Global Health, WHO Covid-19 database, LitCOVID, and Google Scholar (18th November 2021). We included studies with at least 100 people at 12 weeks or more post-Covid-19 onset and with a control group without confirmed Covid-19. Risk of bias was assessed using the Newcastle-Ottawa scale. Symptoms are aligned with the Post Covid-19 Condition Core Outcome Set. We present descriptive statistics and use meta-analysis to estimate the relative risk of experiencing Long Covid. ResultsTwenty-eight studies were included: 20 cohort, five case-controls, three cross-sectional. Studies reported on 242,715 people with Covid-19 (55.6% female) and 276,317 controls (55.7% female) in 16 countries. Most were of moderate quality (71%). Only two were set in low-middle-income countries and few included children (18%). The longest mean follow-up time was 419.8 (standard deviation 49.4) days post-diagnosis. The relative risk (RR) of experiencing persistent or new symptoms in cases compared with controls was 1.53 (95% CI: 1.50 to 1.56). The core outcomes with the highest increased risk were cardiovascular (RR 2.53 95% CI: 2.16 to 2.96), cognitive (RR 1.99; 95% CI: 1.82 to 2.17), and physical functioning (RR 1.85; 95% CI: 1.75 to 1.96). ConclusionSARS-CoV-2 infection is associated with a higher risk of new or persistent symptoms when compared with controls that can last over a year following acute Covid-19. There is still a lack of robust studies set in lower resourced settings and current studies have high heterogeneity and potential misclassifications of cases and controls. Future research should explore the role of vaccination and different variants on the risk of developing Long Covid. Systematic review registrationThe protocol was prospectively registered on the PROSPERO database (CRD42020211131). O_TEXTBOXO_TEXTBOXNOSection 1:C_TEXTBOXNO What is already known?O_LIPublished evidence indicates a high prevalence of people affected by post-acute SARS-CoV-2 sequelae often referred to as Long Covid; yet these estimates are impacted by heterogeneity in study design and a lack of controlled studies and core outcome sets. C_LIO_LIOur first version of this review, looking at studies till March 2021, identified a breadth of reported symptoms of Long Covid affecting both those who were hospitalised during the acute phase and those managed in the community. We also identified a lack of studies including children and set in low-middle income countries. C_LIO_LIThe most commonly reported symptoms identified were weakness, general malaise, fatigue, concentration difficulties, and breathlessness, suggesting Long Covid is a complex, heterogeneous condition. C_LI O_TEXTBOXNOSection 2:C_TEXTBOXNO What are the new findings?O_LITo address the limitations identified, this first update of our living systematic review provides a comprehensive summary of peer-reviewed published studies with a control group (till 22nd February 2022) on the risk of experiencing Covid-19 sequelae. C_LIO_LIDespite study limitations identifying control groups, our findings suggest that people with a confirmed previous SARS-CoV-2 infection are 1.5 times more likely to experience new or persisting symptoms at 12 or more weeks post-onset when compared to a control group. C_LIO_LIMapped to the new Core Outcome set for Post-Covid-19 Condition, a framework for standardised assessment, our review identifies cardiovascular functioning, cognitive functioning, and physical functioning as the outcomes with highest increased risk for people post-SARS-CoV-2 infection compared to controls. C_LI O_TEXTBOXNOSection 3:C_TEXTBOXNO What do the new findings imply?O_LIOur findings point to a clear association between exposure to SARS-CoV-2 and the risk of developing new or persistent symptoms, for some lasting longer than 12 months after the initial infection. C_LIO_LIControlled studies on Long Covid should focus on improving quality to enable multisite metaanalysis by using standardised research protocols and by evaluating participants with multiple standardised diagnostic tests at various time points to capture transitory and intermittent symptoms and complications. C_LIO_LITo help inform health system planning and rehabilitation to improve outcomes for those affected, Long Covid research should focus on estimating the burden of post-acute SARS-CoV-2 in lower resourced settings, investigating the impact of vaccination and variants on Long Covid, and investigating therapeutic strategies. C_LI C_TEXTBOX
ABSTRACT
BackgroundStigma can be experienced as perceived or actual disqualification from social and institutional acceptance on the basis of one or more physical, behavioural or other attributes deemed to be undesirable. Long Covid is a predominantly multisystem condition that occurs in people with a history of SARSCoV2 infection, often resulting in functional disability. AimTo develop and validate a Long Covid Stigma Scale (LCSS); and to quantify the burden of Long Covid stigma. Design and SettingFollow-up of a co-produced community-based Long Covid online survey using convenience non-probability sampling. MethodThirteen questions on stigma were designed to develop the LCSS capturing three domains - enacted (overt experiences of discrimination), internalised (internalising negative associations with Long Covid and accepting them as self-applicable) and anticipated (expectation of bias/poor treatment by others) stigma. Confirmatory factor analysis tested whether LCSS consisted of the three hypothesised domains. Model fit was assessed and prevalence was calculated. Results966 UK-based participants responded (888 for stigma questions), with mean age 48 years (SD: 10.7) and 85% female. Factor loadings for enacted stigma were 0.70-0.86, internalised 0.75-0.84, anticipated 0.58-0.87, and model fit was good. The prevalence of experiencing stigma at least sometimes and often/always was 95% and 76% respectively. Anticipated and internalised stigma were more frequently experienced than enacted stigma. Those who reported having a clinical diagnosis of Long Covid had higher stigma prevalence than those without. ConclusionThis study establishes a scale to measure Long Covid stigma and highlights common experiences of stigma in people living with Long Covid.
ABSTRACT
Many people are not recovering for months after being infected with SARS-CoV-2. Long Covid has emerged as a major public health concern that needs defining, quantifying, and describing. We aimed to explore the initial and ongoing symptoms of Long Covid following SARS-CoV-2 infection and describe its impact on daily life in people who were not admitted to hospital during the first two weeks of the illness. We co-produced a survey with people living with Long Covid. We collected the data through an online survey using convenience non-probability sampling, with the survey posted both specifically on Long Covid support groups and generally on social media. The criteria for inclusion were adults with lab-confirmed (PCR or antibody) or suspected COVID-19 managed in the community (non-hospitalised) in the first two weeks of illness. We used agglomerative hierarchical clustering to identify specific symptom clusters, and their demographic and functional correlates. We analysed data from 2550 participants with a median duration of illness of 7.7 months (interquartile range (IQR) 7.4-8.0). The mean age was 46.5 years (standard deviation 11 years) with 82.8% females and 79.9% of participants based in the UK. 89.5% described their health as good, very good or excellent before COVID-19. The most common initial symptoms that persisted were exhaustion, chest pressure/tightness, shortness of breath and headache. Cough, fever, and chills were common initial symptoms that became less prevalent later in the illness, whereas cognitive dysfunction and palpitations became more prevalent later in the illness. 26.5% reported lab-confirmation of infection. The biggest difference in ongoing symptoms between those who reported testing positive and those who did not was loss of smell/taste. Ongoing symptoms affected at least 3 organ systems in 83.5% of participants. Most participants described fluctuating (57.7%) or relapsing symptoms (17.6%). Physical activity, stress and sleep disturbance commonly triggered symptoms. A third (32%) reported they were unable to live alone without any assistance at six weeks from start of illness. 16.9% reported being unable to work solely due to COVID-19 illness. 66.4% reported taking time off sick (median of 60 days, IQR 20, 129). 37.0% reported loss of income due to illness, and 64.4% said they were unable to perform usual activities/duties. Acute systems clustered broadly into two groups: a majority cluster (n=2235, 88%) with cardiopulmonary predominant symptoms, and a minority cluster (n=305, 12%) with multisystem symptoms. Similarly, ongoing symptoms broadly clustered in two groups; a majority cluster (n=2243, 88.8%) exhibiting mainly cardiopulmonary, cognitive symptoms and exhaustion, and a minority cluster (n=283, 11.2%) exhibited more multisystem symptoms. Belonging to the more severe multisystem cluster was associated with more severe functional impact, lower income, younger age, being female, worse baseline health, and inadequate rest in the first two weeks of the illness, with no major differences in the cluster patterns when restricting analysis to the lab-confirmed subgroup. This is an exploratory survey of Long Covid characteristics. Whilst it is important to acknowledge that it is a non-representative population sample, it highlights the heterogeneity of persistent symptoms, and the significant functional impact of prolonged illness following confirmed or suspected SARS-CoV-2 infection. To study prevalence, predictors and prognosis, research is needed in a representative population sample using standardised case definitions (to include those not lab-confirmed in the first pandemic wave).
