Predictors and characteristics of post-acute COVID-19 syndrome in healthcare workers

Štěpánek, Ladislav; Nakládalová, Marie; Janošíková, Magdaléna; Štěpánek, Lubomír; Kabrhelová, Kateřina; Boriková, Alena

doi:10.1080/23744235.2022.2136750

Cited by 10 publications

(12 citation statements)

References 22 publications

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“…The PRISMA flowchart for study selection is available in eFigure 1 in Supplement 1. The Table summarizes the population cohorts and the study design characteristics of all the included studies . Of the 41 observational studies, 30 were ranked as high quality and 11 moderate quality on the Newcastle-Ottawa Scale (eTable 1 in Supplement 1).…”

Section: Resultsmentioning

confidence: 99%

Risk Factors Associated With Post−COVID-19 Condition

et al. 2023

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ImportancePost−COVID-19 condition (PCC) is a complex heterogeneous disorder that has affected the lives of millions of people globally. Identification of potential risk factors to better understand who is at risk of developing PCC is important because it would allow for early and appropriate clinical support.ObjectiveTo evaluate the demographic characteristics and comorbidities that have been found to be associated with an increased risk of developing PCC.Data sourcesMedline and Embase databases were systematically searched from inception to December 5, 2022.Study SelectionThe meta-analysis included all published studies that investigated the risk factors and/or predictors of PCC in adult (≥18 years) patients.Data Extraction and SynthesisOdds ratios (ORs) for each risk factor were pooled from the selected studies. For each potential risk factor, the random-effects model was used to compare the risk of developing PCC between individuals with and without the risk factor. Data analyses were performed from December 5, 2022, to February 10, 2023.Main Outcomes and MeasuresThe risk factors for PCC included patient age; sex; body mass index, calculated as weight in kilograms divided by height in meters squared; smoking status; comorbidities, including anxiety and/or depression, asthma, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, immunosuppression, and ischemic heart disease; previous hospitalization or ICU (intensive care unit) admission with COVID-19; and previous vaccination against COVID-19.ResultsThe initial search yielded 5334 records of which 255 articles underwent full-text evaluation, which identified 41 articles and a total of 860 783 patients that were included. The findings of the meta-analysis showed that female sex (OR, 1.56; 95% CI, 1.41-1.73), age (OR, 1.21; 95% CI, 1.11-1.33), high BMI (OR, 1.15; 95% CI, 1.08-1.23), and smoking (OR, 1.10; 95% CI, 1.07-1.13) were associated with an increased risk of developing PCC. In addition, the presence of comorbidities and previous hospitalization or ICU admission were found to be associated with high risk of PCC (OR, 2.48; 95% CI, 1.97-3.13 and OR, 2.37; 95% CI, 2.18-2.56, respectively). Patients who had been vaccinated against COVID-19 with 2 doses had a significantly lower risk of developing PCC compared with patients who were not vaccinated (OR, 0.57; 95% CI, 0.43-0.76).Conclusions and RelevanceThis systematic review and meta-analysis demonstrated that certain demographic characteristics (eg, age and sex), comorbidities, and severe COVID-19 were associated with an increased risk of PCC, whereas vaccination had a protective role against developing PCC sequelae. These findings may enable a better understanding of who may develop PCC and provide additional evidence for the benefits of vaccination.Trial RegistrationPROSPERO Identifier: CRD42022381002

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Section: Resultsmentioning

confidence: 99%

Risk Factors Associated With Post−COVID-19 Condition

et al. 2023

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“…Of the 30 included studies, two provided qualitative evidence [ 10 , 11 ] and the remaining 28 survey studies used quantitative methods for collecting data on persistent COVID-19 symptoms [ 12 – 39 ]. The two qualitative studies were both conducted in the UK and recruited 43 participants [ 10 ] and 13 participants [ 11 ], respectively, with more than half of participants being medical doctors or GPs.…”

Section: Resultsmentioning

confidence: 99%

What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence

Cruickshank,

Brazzelli,

Manson

et al. 2024

PLoS ONE

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Background Long COVID is a devastating, long-term, debilitating illness which disproportionately affects healthcare workers, due to the nature of their work. There is currently limited evidence specific to healthcare workers about the experience of living with Long COVID, or its prevalence, pattern of recovery or impact on healthcare. Objective Our objective was to assess the effects of Long COVID among healthcare workers and its impact on health status, working lives, personal circumstances, and use of health service resources. Methods We conducted a systematic rapid review according to current methodological standards and reported it in adherence to the PRISMA 2020 and ENTREQ statements. Results We searched relevant electronic databases and identified 3770 articles of which two studies providing qualitative evidence and 28 survey studies providing quantitative evidence were eligible. Thematic analysis of the two qualitative studies identified five themes: uncertainty about symptoms, difficulty accessing services, importance of being listened to and supported, patient versus professional identity and suggestions to improve communication and services for people with Long COVID. Common long-term symptoms in the survey studies included fatigue, headache, loss of taste and/or smell, breathlessness, dyspnoea, difficulty concentrating, depression and anxiety. Conclusion Healthcare workers struggled with their dual identity (patient/doctor) and felt dismissed or not taken seriously by their doctors. Our findings are in line with those in the literature showing that there are barriers to healthcare professionals accessing healthcare and highlighting the challenges of receiving care due to their professional role. A more representative approach in Long COVID research is needed to reflect the diverse nature of healthcare staff and their occupations. This rapid review was conducted using robust methods with the codicil that the pace of research into Long COVID may mean relevant evidence was not identified.

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“…In an Italian cohort of 428 patients, assessed 4-12 weeks after hospital discharge, it was found that female sex and severe SARS-CoV-2 infection were the main risk factors for post-COVID manifestations, among which chronic dyspnoea and fatigue were the most common [38]. Finally, a recent Czech study examining healthcare workers at least 12 weeks after the onset of SARS-CoV-2 infection, revealed that female sex and increasing age were the only significant predictors of post-COVID syndrome, with almost half of those patients reporting fatigue interfering with their daily life [39].…”

Section: Discussionmentioning

confidence: 98%

Course of fatigue among patients previously hospitalised due to COVID-19

Mazurkiewicz

Chatys-Bogacka

Słowik

et al. 2023

Neurol Neurochir Pol.

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Introduction. Discrepancies exist regarding the clinical course and prognostic factors for post-COVID fatigue. Therefore, our aim was to assess the timely course of fatigue and its possible predictors in patients previously hospitalised due to SARS-CoV-2 infection. Material and methods.Patients and employees of the University Hospital in Krakow were assessed with the use of a validated neuropsychological questionnaire. Included were participants aged 18 or more, previously hospitalised due to COVID-19, who completed questionnaires only once > 3 months after the onset of infection. Individuals were retrospectively asked about the presence of eight symptoms of chronic fatigue syndrome at four timepoints: before COVID-19, within 0-4 weeks, 4-12 weeks, and > 12 weeks post-infection.Results. We enrolled 204 patients [40.2% women, median age 58 (46-66) years] evaluated after a median of 187 (156-220) days from the first positive nasal swab test for SARS-CoV-2. The most common comorbidities were hypertension (44.61%), obesity (36.27%), smoking (28.43%), and hypercholesterolemia (21.08%); none of the patients required mechanical ventilation during hospitalisation. Before COVID-19, 43.62% of patients reported at least one symptom of chronic fatigue. Within 4, 4-12, and > 12 weeks after COVID-19, the prevalence of chronic fatigue was 76.96%, 75.49%, and 66.17%, respectively (all p < 0.001). The frequency of chronic fatigue symptoms decreased within > 12 weeks following the onset of infection but did not return to baseline values, except for self-reported lymph node enlargement. In a multivariable linear regression model, the number of fatigue symptoms was predicted by female sex [β 0.25 (0.12; 0.39), p < 0.001 and 0.26 (0.13; 0.39), p < 0.001 for weeks 0-12 and > 12, respectively], and age [for < 4 weeks, β -0.12 (-0.28; -0.01), p = 0.029]. Conclusions.Most patients previously hospitalised due to COVID-19 suffer from fatigue > 12 weeks after infection onset. The presence of fatigue is predicted by female sex and -only for the acute phase -age.

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Predictors and characteristics of post-acute COVID-19 syndrome in healthcare workers

Cited by 10 publications

References 22 publications

Risk Factors Associated With Post−COVID-19 Condition

Risk Factors Associated With Post−COVID-19 Condition

What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence

Course of fatigue among patients previously hospitalised due to COVID-19

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