Abstract
Symptoms of the Post-COVID-19 Condition are often non-specific making it a challenge to distinguish them from symptoms due to other medical conditions. In this study, we compare the proportion of emergency department patients who developed symptoms consistent with the World Health Organization’s Post-COVID-19 Condition clinical case definition between those who tested positive for Severe Acute Respiratory Syndrome Coronavirus-2 infection and time-matched patients who tested negative. Our results show that over one-third of emergency department patients with a proven acute infection meet Post-COVID-19 Condition criteria 3 months post-index visit. However, one in five test-negative patients who claim never having been infected also report symptoms consistent with Post-COVID-19 Condition highlighting the lack of specificity of the clinical case definition. Testing for SARS-CoV-2 during the acute phase of a suspected infection should continue until specific biomarkers of Post-COVID-19 Condition become available for diagnosis and treatment.
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Introduction
The COVID-19 pandemic has had a staggering toll on global health with over 775 million documented infections1. Millions of survivors have reported persistent or recurring symptoms that are debilitating2,3. The World Health Organization (WHO) defined this condition as the Post-COVID-19 Condition (PCC), also known as Long COVID4,5. The WHO defines PCC as a condition that “occurs in individuals with a history of probable or confirmed Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection, usually 3 months from the onset of COVID-19 with symptoms that last for at least 2 months, that cannot be explained by an alternative diagnosis”6. Based on conservative prevalence estimates, more than 77 million individuals could be living with PCC worldwide7. Preliminary data show that people with PCC may have increased use of primary care, hospital admissions, and mortality in the months post infection8,9. Unfortunately, the true assessment of the burden of PCC is still inaccurate because its definition and diagnostic criteria are difficult to operationalize8. Currently, PCC is challenging to distinguish from other physical and mental health conditions. The WHO listed 50 symptoms associated with PCC including dyspnea, post-exertional malaise (PEM), anosmia, and cough among others10. Yet, many of these symptoms could occur due to comorbidity or other viral infections. Furthermore, in 2024, fewer people are seeking or being offered diagnostic testing for SARS-CoV-2 now that the virus is less virulent and endemic11,12,13. As a result, people who were never tested for SARS-CoV-2 infection may develop WHO PCC criteria without ever being diagnosed with SARS-CoV-2.
Our objective was to compare the proportion of all emergency department (ED) patients tested for SARS-CoV-2 who met PCC criteria at 3 months who tested positive compared to those who tested negative and did not report subsequent symptomatic infection. Our secondary objectives were to assess risk factors for reporting PCC symptoms at 3 months. We also compared the proportion of all ED patients tested for SARS-CoV-2 who met PCC criteria at 6 and 12 months who tested positive compared to those who tested negative and did not report subsequent symptomatic infection.
In this work, we show that PCC as defined by the WHO is a nonspecific syndrome that occurs in many patients who present to the ED for an acute illness requiring SARS-CoV-2 testing. While a proven acute SARS-CoV-2 infection was the single most important risk factor, one in five patients with no evidence of acute or subsequent SARS-CoV-2 infection met PCC criteria. The current WHO definition for suspected SARS-CoV-2 infections will lead to overdiagnosis of PCC among patients with suspected infections who are currently not being tested.
Results
Of 29,838 individuals assessed for eligibility, 6,723 met inclusion criteria (58.5% (3933/6723) SARS-CoV-2 positive (Fig. 1); 50.6% (3405/6723) female; mean age, 54.4 years [SD: 17.9] (Table 1; Supplementary Tables 1, 2)). Among all participants, there was very little difference between biological sex and self-reported gender with 3405 (50.6%) participants identified as being female and 3318 (49.4%) participants identified as being male based on chart review, and 3367 (50.1%) self-identifying as being a female and 3252 (48.4%) as being male on phone follow-up (Supplementary Tables 1, 2). Among test-positive patients, the proportion reporting at least one PCC symptom at three months was 38.9% (1532/3933, 95% CI: 37.4–40.4%) compared to 20.7% (578/2790, 95% CI: 19.2–22.2%) among test-negative patients. In test-positive patients, PCC symptoms were also more frequently reported in female participants (45.5% (871/1916)) compared to male participants (32.8% (662/2017)), (Supplementary Table 3). At 6 months, the proportion of test-positive patients reporting at least one PCC symptom was 38.2% (1317/3444, 95% CI: 36.6–39.9%) compared to 19.5% (526/2691, 95% CI: 18.1–21.1%) among test-negative patients. At 12 months, the proportion of test-positive patients reporting at least one PCC symptom was 33.1% (698/2109, 95% CI: 31.1–35.1%) compared to 17.3% (209/1207, 95% CI: 15.3–19.6%) among test-negative patients. Compared to the proportion of symptomatic patients at three months, 5.8% less SARS-CoV-2 positive patients and 3.4% less SARS-CoV-2 negative patients had at least one ongoing PCC-consistent symptom at twelve months.
At the three-month time point, test-positive patients with PCC differed from those without PCC with regards to mean age, sex, pandemic period, race, education level, ambulance arrival, comorbidities, acute symptoms, intensive care unit (ICU) admissions, and perceived fitness (Table 1). For test-positive patients with and without PCC, there were no differences for the number of vaccine doses (Table 1), types of vaccines administered before ED index visit (Supplementary Table 4), and days elapsed since last vaccine dose (141 days for test-positive patients with PCC vs. 142.5 days for test-positive patients without PCC; Supplementary Table 5). Test-negative patients with PCC-consistent symptoms differed from those without PCC-consistent symptoms in terms of pandemic period, race, educational level, ambulance arrival, comorbidities, ICU admissions, number of SARS-CoV-2 vaccine doses, and perceived fitness (Table 1). For test-negative patients with and without PCC-consistent symptoms, there were no differences for the types of vaccines administered before ED index visit (Supplementary Table 4), or days elapsed since last vaccine dose (61 days for test-negative patients with PCC-consistent symptoms vs. 67.5 days for test-positive patients without PCC; Supplementary Table 5). PCC symptoms differed by SARS-CoV-2 status with positive patients reporting each individual PCC-consistent symptom at least twice more often than negative patients (Fig. 2). Few test-negative patients reported anosmia (0.4%, 95% CI: 0.2–0.8%), dysgeusia (0.9%, 95% CI: 0.6–1.4%) or a new persistent cough (1.2%, 95% CI: 0.8–1.7%). There were 21.4% (95% CI: 20.2–22.7%) of test-positive patients who reported three or more symptoms, compared to 6.1% (95% CI: 2.2–7.0%) of test-negative patients. When stratifying PCC symptoms reported by pandemic period (pre-Omicron vs. during Omicron) (Supplementary Fig. 1), patients infected during Omicron period report more memory problems, concentration problems, and dizziness than patients infected in pre-Omicron period. None of the SARS-CoV-2 negative patients reported olfactory symptoms during the Omicron period.
The most important predictor of reporting PCC symptoms at three months was having tested SARS-CoV-2 positive during index ED visit (adjusted OR (aOR) = 4.42, 95% CI: 3.60–5.43; Fig. 3, Supplementary Table 6). Other predictors included ICU admission (aOR = 1.84, 95% CI: 1.34–2.51), female sex (aOR=1.51, 95% CI: 1.33–1.73), dysgeusia/anosmia at the time of index ED visit (aOR = 1.38, 95% CI: 1.03–1.85), treatment with dexamethasone (aOR=1.27, 95% CI: 1.00–1.61), fatigue at the time of index ED visit (aOR = 1.17, 95% CI: 1.02-1.35), and arrival by ambulance (aOR = 1.16, 95% CI: 1.01–1.33). Frailty at baseline did not increase risk of PCC. However, patients reporting “managing well” compared to those “fit and well” at baseline increased the risk of PCC (aOR = 1.31, 95% CI: 1.14–1.52). Lower education level was the only factor that decreased the risk of PCC (aOR = 0.75, 95% CI: 0.58–0.97). Vaccination did not have an effect (aOR = 1.00, 95% CI: 0.79–1.26).
Discussion
A high proportion of ED patients reported ongoing PCC symptoms three months after their ED visit, regardless of whether they were infected with SARS-CoV-2 or not. The proportion of patients reporting ongoing symptoms at 6 and 12 months remained high with only a small decrease over time. At three months, test-positive patients reported each individual PCC-consistent symptom at least twice as often as negative patients. While a positive SARS-CoV-2 test during the index ED visit was the main risk factor for developing PCC, other risk factors included female sex, arriving by ambulance, ICU admission, exposure to dexamethasone, and reporting fatigue and olfactory symptoms at baseline. We did not identify any comorbidities that increased the risk of PCC. Interestingly, vaccination was not associated with less PCC in patients with or without SARS CoV-2.
Our study is consistent with existing observational studies on PCC symptoms14,15,16. Four in 10 ED patients diagnosed with acute SARS-CoV-2 infection without evidence of subsequent infection reported PCC symptoms at 3 months, consistent with studies reporting that a third of hospitalized patients in Canada reported PCC after hospitalization17. Systematic reviews from around the world also produced similar results18,19,20,21,22,23,24,25. Our results differed from a Canadian survey study in the general population26,27, that reported that only 15% of patients developed PCC after an acute infection28, suggesting that ED patients are at higher risk of developing PCC than in the general population.
We found a high rate of PCC-consistent symptoms in test-negative patients. This is consistent with other investigators14,29 who found that approximately one-quarter of SARS-CoV-2 negative participants had at least one persistent symptom at 3 months. While others have found a high proportion of PCC in test-negative patients14,29,30,31,32, our study is unique because it is the largest and longest-running ED prospective cohort that spans pre-Omicron and post-Omicron waves with consecutive patients including time-concurrent negative controls that limits selection bias found in other large cohorts that included self-referred patients14,29,31.
Our high rate of PCC-consistent symptoms in test-negative patients is unlikely to be explained by asymptomatic SARS-CoV-2 infections or missed infections from the early pandemic when SARS-CoV-2 testing was limited33,34,35. Data from Canadian seroprevalence studies confirmed that fewer than 9% of Canadians had serological evidence of SARS-CoV-2 infection prior to the Omicron wave that started on November 28, 202136,37, when 94% of our cohort was recruited. Very few patients in our cohort were tested for other viruses, making it possible that we identified other post-viral syndromes. However, strict COVID-19 public health restrictions in Canada during the study period reduced the circulation of other viruses38,39, making this less likely. Thus, our data indicate that the development of PCC after suspected but not confirmed SARS-CoV-2 infection is non-specific and can occur in SARS-CoV-2 naïve patients. This limits our ability to accurately identify patients for treatment, and develop, prioritize, and evaluate interventions to prevent and treat PCC.
A more specific WHO definition, potentially used in combination with serology testing or biomarker for an underlying process that underpins the development of PCC is needed31,40,41,42, given the high prevalence of PCC-consistent symptoms in test-negative patients. When comparing symptoms in test-positive and test-negative patients, our results indicate that three or more symptoms or the presence of certain symptoms such as anosmia, dysgeusia, newly persistent cough, and dyspnea were noticeably more common in test-positive patients compared to test-negative patients. This may indicate an opportunity to refine the WHO definition for greater specificity. Anosmia and dysgeusia have been reported as common early symptoms in patients with COVID-1943. While most patients with olfactory symptoms in the acute phase recovered within one month44,45, anosmia, and dysgeusia persisted in some patients for several months. Our study suggests that olfactory symptoms during the acute infection may predict PCC.
Our study differs from a recent meta-analysis46 showing that age increases the risk of PCC. Compared to this meta-analysis of 860 783 patients with COVID-19, we included patients tested for SARS-CoV-2 and their time-matched negative controls. This means that patients with COVID-19 compared to patients the same age without COVID-19 have the same risk of experiencing PCC. However, consistent with this meta-analysis46, we found that female sex was associated with an increased risk of experiencing PCC18,47,48,49. Potential explanations include the role of sex hormones50, higher innate immune responses in females51, and social factors and gender biases that make it more acceptable for women to disclose pain and distress compared to men22,52,53.
Many studies point to certain comorbidities as risk factors for PCC46. When controlling for all potential risk factors and including time-concurrent test-negative controls who presented to EDs, none of the comorbidities remained significant in our multivariable model. Being tested positive for SARS-CoV-2 represented the single most important risk factor for PCC. This supports an essential role for acute SARS-CoV-2 infection in PCC development.
Similar to prior studies, our finding that ICU admission was associated with PCC54,55,56 indicates a potential overlap with post-intensive care syndrome54 which presents with similar persistent physical and psychological symptoms. The use of dexamethasone was also associated with PCC. Dexamethasone has shown to decrease mortality in severe cases of COVID-19 but can also lead to worse outcomes such as myopathy when used inappropriately in patients without proven infections or in patients not requiring oxygen57,58. Therefore, dexamethasone may have been an indicator of disease severity, or alternately may have itself contributed to the development of PCC symptoms.
Previous data on the association of education level with PCC is inconsistent. Contrary to other studies that show that higher education protects against severe COVID-19 and PCC59,60, we found that patients with lower education reported fewer PCC symptoms, consistent with other studies17,61. Researchers have raised the possibility that initial lack of awareness of the range of symptoms associated with acute COVID-19 could lead patients with lower education to seek out SARS-CoV-2 testing less frequently62. Patients with lower education and socio-economic status also face stigma related to PCC that might lead to underreporting of their symptoms63.
Although several studies reported that vaccination decreased the rates of PCC symptoms64,65,66,67, our study did not confirm this protective effect. With less than a third of our cohort vaccinated at the time of infection, it is possible that too few patients in our cohort were vaccinated before they were infected to detect a protective effect. For patients who were vaccinated, we did not find any difference between patients with PCC vs. without PCC concerning the vaccine types used, full vaccination status, or time elapsed since last dose. Time elapsed between last dose and ED index visit largely surpassed the seven to fourteen-day period to develop an adequate immune response68. However, waning immunity69 may explain why vaccinated patients were still infected, with more than half of adequately vaccinated SARS-CoV-2 positive patients having received their last dose more than 4 months before their ED visit for a SARS-CoV-2 infection compared to more than half of SARS-CoV-2 negative patients having received their last dose less than 3 months before their ED visit. Although our study did not find a protective effect, a recent systematic review supports the protective effect of SARS-CoV-2 vaccination against PCC70. Moreover, the most effective way to prevent PCC is to prevent SARS-CoV-2 infection (e.g., vaccination, masking, social distancing, hand washing). It is likely that any measure that decreases the incidence of acute SARS-CoV-2 infection will in turn prevent PCC.
Our results concerning the duration of symptoms are also consistent with other studies. In a large Bayesian meta-regression study that pooled the results of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection, the proportion of patients with ongoing PCC at twelve months was 11.1% (95% CI: 4.7–19.7%) for patients requiring hospital care and 20.5% (9.8-32.9%) for patients requiring ICU admission71.
Our study has several strengths. First, this is one of the few cohorts of consecutive SARS-CoV-2 positive patients with time-matched test-negative controls that spans multiple pandemic waves20,41,42,72. Second, only a few studies systematically followed SARS-CoV-2 tested patients and integrated clinical data from the acute infection with patient-reported information up to 12 months post infection31,73,74. Third, we rigorously applied the WHO definition using specific time cut-off points and asked patients to discern new versus chronic symptoms, improving the specificity of the patients identified as having PCC. Fourth, this study was developed with the participation of patient partners who provided guidance in its development, its conduct, and interpretation.
Our study has several limitations. First, the WHO PCC definition is very broad and remains hard to operationalize75. It is not easy to apply in the case of relapsing symptoms and currently includes non-specific symptoms30. Although our questionnaire was built to detect any new symptoms since the ED index visit, PCC remains a clinical diagnosis that relies on the exclusion of all other causes. As our study demonstrates, ruling-in PCC remains a challenge because the diagnostic criteria are not specific, and it remains difficult to differentiate new symptoms related to PCC from those of other new conditions that can be diagnosed concomitantly. Second, our PCC questionnaire was implemented without formal psychometric evaluation early during the pandemic when there was an urgency to capture PCC outcomes without any existing validated questionnaire. It was, however, co-developed with patient partners, experts in PCC and rehabilitation, then pilot-tested with a subset of patients, and implemented with training material to standardize its use. Third, although we aimed to recruit 4 test-negative controls for each test-positive case, our final ratio was less than 1:1 (3933 cases for 2790 controls) because of periods where the rate of test positivity was very high making it hard to identify 4 time-concurrent negative controls for every positive case and high rates of patients initially testing negative at ED index visit subsequently reporting a positive SARS-CoV-2 test at the time of phone follow-up. This decreases the power of our study but does not impact the validity of its results. Fourth, the use of rapid antigen testing kits delivered to Canadians starting at the end of 2021 for home testing76 may have helped to decrease less severely affected patients coming to the ED for testing. This may have inflated the estimate of PCC in the sicker ED population compared to lower estimates in the general population.
PCC as defined by the WHO is a non-specific syndrome that occurs in many patients who present to the ED for an acute illness requiring SARS-CoV-2 testing. While acute SARS-CoV-2 infection was its single most important risk factor, every fifth patient with no evidence of acute or subsequent SARS-CoV-2 infection met PCC criteria. The current WHO definition for suspected SARS-CoV-2 infections will lead to overdiagnosis of PCC among patients with suspected infections who are currently not being tested. Further studies are needed to improve our understanding of the pathophysiology of PCC to develop more specific diagnostic criteria and better understand how to accelerate recovery.
Methods
Study design and setting
The Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) is a pan-Canadian collaboration that harmonized data collection among all patients tested for SARS-CoV-2 in 50 EDs in 8 provinces to enable observational studies77,78,79,80,81,82. This specific PCC sub-study was conducted in 33 out of the 50 CCEDRRN sites in five provinces (NS, QC, ON, SK, BC). All sites were eligible to participate, but site participation was determined by local human resource capacity at each site. The research ethics boards of participating institutions (Supplementary Table 7) approved the study with a waiver of informed consent for patient enrollment and provided permission to contact patients to seek verbal consent to follow-up using phone interviews. All participants consented to phone interviews. Participants did not receive any financial compensation. We followed the STROBE guidelines83 (Supplementary Table 8) and reported our patient engagement strategy84,85 using the GRIPP2-SF guideline (Supplementary Table 9)85.
Participants
We enrolled consecutive consenting eligible patients aged ≥18 years who presented to one of 33 participating EDs between October 18, 2020, and February 28, 2022, and were tested for SARS-CoV-2 (Supplementary Table 7). We excluded patients who had died, were hospitalized or out of the country at the time of follow-up, could not be contacted after 5 attempts, were unable to communicate due to language or cognitive barriers, or found the follow-up interview too long. We excluded all patients reporting a positive SARS-CoV-2 test or a symptomatic SARS-CoV-2 infection after the index ED encounter to prevent any confounding effect on the assessment of ongoing symptoms during phone follow-up.
Six out of 33 sites collected data on randomly selected time-matched test-negative controls aiming for a 1:4 case to control ratio (Supplementary Table 7)77,86. The final ratio of SARS-CoV-2 positive to negative controls varied during the pandemic due to periods with high SARS-CoV-2 test positivity (>25%) limiting recruitment of time-matched controls. The remaining 27 sites only collected data on test-positive patients due to human resources constraints (Supplementary Table 7).
Definitions
We defined SARS-CoV-2 positive patients as those who had a laboratory-confirmed infection, detected by ≥ 1 nucleic acid amplification or rapid antigen test from a specimen collected in the community <14 days before the ED visit and ongoing symptoms until the ED visit, or those with a specimen collected during the ED visit or <14 days after ED arrival, reflecting the maximum possible incubation period81.
We defined SARS-CoV-2 negative controls as those in whom all recorded SARS-CoV-2 tests were negative, who never reported a subsequent positive test or symptoms of acute infection at phone follow-up.
Based on the WHO clinical case definition, we defined meeting clinical PCC criteria as reporting (1) at least one new PCC-consistent symptom arising in the 3 months after the ED visit that continued to be present at the 3-month mark, and (2) lasted ≥2 months75. The PCC symptoms we considered were dyspnea, pain, cough, loss of sense of smell and taste, sleep disturbance, dizziness, trouble concentrating, memory problems, and PEM. Participants could also report any other new symptom they were experiencing since their ED index visit. To be considered having PCC at 6 or 12 months, patients had to have met PCC criteria at 3 months and have persistent symptoms at either 6- or 12-month follow-up times.
Data collection
Trained research assistants: (1) abstracted data on SARS-CoV-2 tested patients including their baseline comorbidities by chart review77, (2) attempted to contact patients up to five times to obtain consent for phone follow-up six months and twelve months after the ED visit, (3) collected sociocultural and demographic variables including age, sex, self-reported gender, self-reported race, self-reported baseline level of fitness, and self-reported SARS-CoV-2 vaccination status (number of doses received ≥7 days before ED index visit, dates of vaccination, and vaccine types)87, (4) documented any self-reported new or repeat SARS-CoV-2 infections, and (5) documented ongoing or resolved symptoms consistent with PCC using the PCC Assessment Questionnaire (PCCAQ; Supplementary Methods). Research assistants were instructed to present the questionnaire without mentioning that it was about Long COVID or Post COVID-19 Condition. Research assistants were trained to only document new symptoms that developed since the ED index visit. For each new symptom, we documented the start date reported by participants and determined if the symptom was still ongoing. If the symptom had resolved, research assistants asked patients to determine how long the symptom lasted (a couple of days, <1 week, <2 weeks, <1 month, between 1 and 2 months, between 2 and 6 months, or ≥6 months). We developed the PCCAQ based on the WHO PCC case definition and case report form10 in collaboration with patient partners, PCC experts, emergency physicians, rehabilitation specialists, and public health policy makers. We piloted the PCCAQ in English and French with patient partners and the first 100 participants. Phone follow-ups occurred between November 16, 2021, and July 31, 2022. This is the first study to use the PCCAQ.
Measures, outcomes, and candidate risk factor variables
Our primary outcome was the proportion of ED patients reporting at least one PCC-consistent symptom at 3 months. The proportion of participants experiencing ongoing symptoms at three months was determined retrospectively using data collected at the six and twelve-month follow-up periods. Our secondary outcomes were the proportions of individual PCC-consistent symptoms reported at 3 months. The candidate risk factors hypothesized to be covariates associated with PCC were selected based on a review of existing studies46,48,88 and the clinical knowledge of the investigator team and patient partners (Supplementary Table 10). We selected baseline sociodemographic characteristics and clinical variables that can easily be assessed in the ED including SARS-CoV-2 testing and baseline acute COVID-19 symptoms reported during ED index visit. We excluded other laboratory testing and imaging because they are not available in all patients. Other secondary outcomes were the proportions of participants with at least one PCC-consistent symptom reported at 6 and 12 months.
Statistical analyses
We used Stata (Version 16.1, StataCorp, College Station, Texas) to calculate summary statistics (e.g., count, percentage, mean, standard deviation [SD]) and stratified data by SARS-CoV-2 status (i.e., test-positive or test-negative) and PCC status (i.e., with or without PCC symptoms). P-values were calculated using two-sided T-tests for continuous variables and one-sided unadjusted Pearson’s chi-squared tests for categorical variables. We calculated the proportion of patients with PCC symptoms with 95% confidence intervals (95% CI). Mixed effects logistic regression models modeled the association between the risk factors selected as covariates and the primary outcome. Univariable models for each covariate provided unadjusted odds ratios (ORs). The multivariable model included key covariates including SARS-CoV-2 status and a random effect for site to account for the correlation of patients presenting to the same ED. A p-value < 0.05 was considered statistically significant.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
Data is available on reasonable request. For investigators who wish to access CCEDRRN data, proposals may be submitted to the network for review and approval by the network’s peer-review publication committee, the data access and management committee, and the executive committee, as per the network’s governance. Information regarding submitting proposals and accessing data may be found on the CCEDRRN website89.
References
World Health Organization, WHO Coronavirus (COVID-19) dashboard, https://data.who.int/dashboards/covid19/cases.
Nordvig, A. S. et al. Brain fog in long COVID limits function and health status, independently of hospital severity and preexisting conditions. Front. Neurol. 14, 1150096 (2023).
Gallegos, M. et al. The impact of long Covid on people’s capacity to work. Ann. Work Expo. Health 67, 801–804 (2023).
Paul Garner: For 7 weeks I have been through a roller coaster of ill health, extreme emotions, and utter exhaustion. The BMJ https://blogs.bmj.com/bmj/2020/05/05/paul-garner-people-who-have-a-more-protracted-illness-need-help-to-understand-and-cope-with-the-constantly-shifting-bizarre-symptoms/ (2020).
Powell, M. Living with Covid19. https://evidence.nihr.ac.uk/themedreview/living-with-covid19/10.3310/themedreview_41169 (2020).
A clinical case definition of post-COVID-19 condition by a Delphi consensus, 6 October 2021. https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1 (2021).
Davis, H. E., McCorkell, L., Vogel, J. M. & Topol, E. J. Long COVID: major findings, mechanisms and recommendations. Nat. Rev. Microbiol. 21, 133–146 (2023).
Katz, G. M. et al. Understanding how post–COVID-19 condition affects adults and health care systems. JAMA Health Forum 4, e231933–e231933 (2023).
McNaughton, C. D. et al. Post-acute health care burden after SARS-CoV-2 infection: a retrospective cohort study. CMAJ 194, E1368–E1376 (2022).
World Health Organization. Global COVID-19 Clinical Platform Case Report Form (CRF) for Post COVID condition (post COVID-19 CRF). https://www.who.int/publications/i/item/global-covid-19-clinical-platform-case-report-form-(crf)-for-post-covid-conditions-(post-covid-19-crf-) (2021).
Abdul Rashid, M. R. et al. COVID-19 pandemic fatigue and its sociodemographic, mental health status, and perceived causes: a cross-sectional study nearing the transition to an endemic phase in Malaysia. Int. J. Environ. Res. Public Health 20, 4476 (2023).
Are, E. B., Song, Y., Stockdale, J. E., Tupper, P. & Colijn, C. COVID-19 endgame: from pandemic to endemic? Vaccination, reopening and evolution in low- and high-vaccinated populations. J. Theor. Biol. 559, 111368 (2023).
Chu, R. Y. K., Szeto, K. C., Wong, I. O. L. & Chung, P. H. A global scale COVID-19 variants time-series analysis across 48 countries. Front. Public Health 11, 1085020 (2023).
van der Maaden, T. et al. Prevalence and severity of symptoms 3 months after infection with SARS-CoV-2 compared to test-negative and population controls in the Netherlands. J. Infect. Dis. 227, 1059–1067 (2022).
Hastie, C. E. et al. Outcomes among confirmed cases and a matched comparison group in the Long-COVID in Scotland study. Nat. Commun. 13, 1–9 (2022).
Venturelli, S. et al. Surviving COVID-19 in Bergamo province: a post-acute outpatient re-evaluation. Epidemiol. Infect. 149, e32 (2021).
Feldman, D. E., Boudrias, M.-H. & Mazer, B. Long COVID symptoms in a population-based sample of persons discharged home from hospital. Can. J. Public Health 113, 930–939 (2022).
Chen, C. et al. Global prevalence of post-Coronavirus Disease 2019 (COVID-19) condition or long COVID: a meta-analysis and systematic review. J. Infect. Dis. 226, 1593–1607 (2022).
Jennings, G., Monaghan, A., Xue, F., Mockler, D. & Romero-Ortuño, R. A systematic review of persistent symptoms and residual abnormal functioning following acute COVID-19: ongoing symptomatic phase vs. Post-COVID-19 syndrome. J. Clin. Med. Res. 10, 5913 (2021).
Alkodaymi, M. S. et al. Prevalence of post-acute COVID-19 syndrome symptoms at different follow-up periods: a systematic review and meta-analysis. Clin. Microbiol. Infect. 28, 657–666 (2022).
Groff, D. et al. Short-term and long-term rates of postacute sequelae of SARS-CoV-2 infection: a systematic review. JAMA Netw. Open 4, e2128568 (2021).
Huerne, K. et al. Epidemiological and clinical perspectives of long COVID syndrome. Am. J. Med. Open 9, 100033 (2023).
O’Mahoney, L. et al. The prevalence and long-term health effects of Long Covid among hospitalised and non-hospitalised populations: a systematic review and meta-analysis. EClinicalMedicine 55, 101762 (2023).
Jiang, D. H., Roy, D. J., Gu, B. J., Hassett, L. C. & McCoy, R. G. Postacute sequelae of severe acute respiratory syndrome coronavirus 2 infection: a state-of-the-art review. JACC Basic Transl. Sci. 6, 796–811 (2021).
Natarajan, A. et al. A systematic review and meta-analysis of long COVID symptoms. Syst. Rev. 12, 88 (2023).
Post-COVID-19 Condition in Canada: What we know, what we don’t know, and a framework for action (Pre-Report). https://science.gc.ca/site/science/en/office-chief-science-advisor/initiatives-covid-19/post-covid-19-condition-canada-what-we-know-what-we-dont-know-and-framework-action-pre-report (2022).
Government of Canada & Canada, S. Long-term symptoms in Canadian adults who tested positive for COVID-19 or suspected an infection, January 2020 to August 2022. https://www150.statcan.gc.ca/n1/daily-quotidien/221017/dq221017b-eng.htm (2022).
Post-COVID-19 Condition in Canada: What we know, what we don’t know, and a framework for action. https://science.gc.ca/site/science/en/office-chief-science-advisor/initiatives-covid-19/post-covid-19-condition-canada-what-we-know-what-we-dont-know-and-framework-action (2023).
Spatz, E. S. et al. Three-month symptom profiles among symptomatic adults with positive and negative severe acute respiratory syndrome coronavirus 2 tests: a prospective cohort study from the INSPIRE group. Clin. Infect. Dis. 76, 1559–1566 (2022).
Selvakumar, J. et al. Prevalence and characteristics associated with post–COVID-19 condition among nonhospitalized adolescents and young adults. JAMA Netw. Open 6, e235763–e235763 (2023).
Thaweethai, T. et al. Development of a definition of postacute sequelae of SARS-CoV-2 infection. JAMA 329, 1897–1995 (2023).
Magnusson, K., Turkiewicz, A., Flottorp, S. A. & Englund, M. Prevalence of long COVID complaints in persons with and without COVID-19. Sci. Rep. 13, 1–9 (2023).
Marossy, A. et al. A study of universal severe acute respiratory syndrome coronavirus 2 RNA testing among residents and staff in a large group of care homes in South London. J. Infect. Dis. 223, 381–388 (2020).
Gandhi, M., Yokoe, D. S. & Havlir, D. V. Asymptomatic transmission, the Achilles’ Heel of current strategies to control Covid-19. N. Engl. J. Med. 382, 2158–2160 (2020).
Akinbami, L. J. et al. SARS-CoV-2 serology and self-reported infection among adults—national health and nutrition examination survey, United States, August 2021-May 2022. MMWR Morb. Mortal. Wkly. Rep. 71, 1522–1525 (2022).
Canadian Blood Services. COVID-19 seroprevalence increasing. https://www.blood.ca/en/stories/latest-study-results-show-upward-shift-covid-19-prevalence (2021)
Caminsky, N. Seroprevalence in Canada. COVID-19 Immunity Task Force. https://www.covid19immunitytaskforce.ca/seroprevalence-in-canada/ (2021).
Doroshenko, A. et al. Decline of influenza and respiratory viruses with COVID-19 public health measures: Alberta, Canada. Mayo Clin. Proc. 96, 3042–3052 (2021).
Groves, H. E. et al. The impact of the COVID-19 pandemic on influenza, respiratory syncytial virus, and other seasonal respiratory virus circulation in Canada: a population-based study. Lancet Regional Health—Am. 1, 100015 (2021).
Chaichana, U. et al. Definition of post–COVID-19 condition among published research studies. JAMA Netw. Open 6, e235856–e235856 (2023).
Subramanian, A. et al. Symptoms and risk factors for long COVID in non-hospitalized adults. Nat. Med. 28, 1706–1714 (2022).
Horberg, M. A. et al. Post-acute sequelae of SARS-CoV-2 with clinical condition definitions and comparison in a matched cohort. Nat. Commun. 13, 1–13 (2022).
Saniasiaya, J., Islam, M. A. & Abdullah, B. Prevalence of olfactory dysfunction in coronavirus disease 2019 (COVID-19): a meta-analysis of 27,492 patients. Laryngoscope 131, 865–878 (2021).
Renaud, M. et al. Clinical outcomes for patients with anosmia 1 year after COVID-19 diagnosis. JAMA Netw. Open 4, e2115352–e2115352 (2021).
Paderno, A. et al. Olfactory and gustatory outcomes in COVID-19: a prospective evaluation in nonhospitalized subjects. Otolaryngol. Head. Neck Surg. 163, 1144–1149 (2020).
Tsampasian, V. et al. Risk factors associated with post−COVID-19 condition: a systematic review and meta-analysis. JAMA Intern. Med. 183, 566–580 (2023).
Sylvester, S. V. et al. Sex differences in sequelae from COVID-19 infection and in long COVID syndrome: a review. Curr. Med. Res. Opin. 41, 1391–1399 (2022).
Notarte, K. I. et al. Age, sex and previous comorbidities as risk factors not associated with SARS-CoV-2 infection for long COVID-19: a systematic review and meta-analysis. J. Clin. Med. Res. 11, 7314 (2022).
Bai, F. et al. Female gender is associated with long COVID syndrome: a prospective cohort study. Clin. Microbiol. Infect. 28, 611.e9–611.e16 (2022).
Newson, L., Lewis, R. & O’Hara, M. Long Covid and menopause—the important role of hormones in Long Covid must be considered. Maturitas 152, 74 (2021).
Ortona, E. & Malorni, W. Long COVID: to investigate immunological mechanisms and sex/gender related aspects as fundamental steps for tailored therapy. Eur. Respir. J. 59, 2102245 (2022).
Samulowitz, A., Gremyr, I., Eriksson, E. & Hensing, G. ‘Brave Men’ and ‘Emotional Women’: a theory-guided literature review on gender bias in health care and gendered norms towards patients with chronic pain. Pain Res. Manag. 2018, 6358624 (2018).
D’Souza, A. et al. Men’s gendered experiences of rehabilitation and recovery following traumatic brain injury: a reflexive thematic analysis. Neuropsychol. Rehabil. https://doi.org/10.1080/09602011.2020.1822882 (2022).
Halpin, S. J. et al. Postdischarge symptoms and rehabilitation needs in survivors of COVID-19 infection: a cross-sectional evaluation. J. Med. Virol. 93, 1013–1022 (2021).
The Writing Committee for the COMEBAC Study Group. et al. Four-month clinical status of a cohort of patients after hospitalization for COVID-19. JAMA 325, 1525–1534 (2021).
Heesakkers, H. et al. Clinical outcomes among patients with 1-year survival following intensive care unit treatment for COVID-19. JAMA 327, 559–565 (2022).
Bradley, M. C. et al. Systemic corticosteroid use for COVID-19 in US outpatient settings from April 2020 to August 2021. JAMA 327, 2015 (2022).
Covello, R. D. et al. Meta-analysis of glucocorticoids for COVID-19 patients not receiving oxygen. NEJM Evidence. https://doi.org/10.1056/EVIDoa2200283 (2023).
Yoshikawa, M. & Asaba, K. Educational attainment decreases the risk of COVID-19 severity in the European population: a two-sample Mendelian randomization study. Front. Public Health 9, 673451 (2021).
Perlis, R. H. et al. Prevalence and correlates of long COVID symptoms among US adults. JAMA Netw. Open 5, e2238804–e2238804 (2022).
Thompson, E. J. et al. Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records. Nat. Commun. 13, 1–11 (2022).
Pan, D. & Pareek, M. Toward a universal definition of post–COVID–19 condition—how do we proceed? JAMA Netw. Open 6, e235779–e235779 (2023).
Damant, R. W. et al. Reliability and validity of the post COVID-19 condition stigma questionnaire: a prospective cohort study. eClinicalMedicine 55, 101755 (2023).
Antonelli, M. et al. Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study. Lancet Infect. Dis. 22, 00460–00466 (2022).
Azzolini, E. et al. Association between BNT162b2 vaccination and long COVID after infections not requiring hospitalization in health care workers. JAMA 328, 676 (2022).
Al-Aly, Z., Bowe, B. & Xie, Y. Long COVID after breakthrough SARS-CoV-2 infection. Nat. Med. 28, 1461 (2022).
Lundberg-Morris, L. et al. Covid-19 vaccine effectiveness against post-covid-19 condition among 589 722 individuals in Sweden: population based cohort study. BMJ 383, e076990 (2023).
Grewal, R. et al. Effectiveness of a fourth dose of covid-19 mRNA vaccine against the omicron variant among long term care residents in Ontario, Canada: test negative design study. BMJ 378, e071502 (2022).
Menegale, F. et al. Evaluation of waning of SARS-CoV-2 vaccine-induced immunity: a systematic review and meta-analysis. JAMA Netw. open 6, e2310650 (2023).
Marra, A. R. et al. The effectiveness of coronavirus disease 2019 (COVID-19) vaccine in the prevention of post–COVID-19 conditions: A systematic literature review and meta-analysis. Antimicrob. Stewardship Healthc. Epidemiol. 2, e192 (2022).
Global Burden of Disease Long COVID Collaborators. et al. Estimated global proportions of individuals with persistent fatigue, cognitive, and respiratory symptom clusters following symptomatic COVID-19 in 2020 and 2021. JAMA 328, 1604–1615 (2022).
Dun-Dery, F. et al. Post-COVID-19 condition in children 6 and 12 months after infection. JAMA Network Open 6, (2023).
Jimeno-Almazán, A. et al. Relationship between the severity of persistent symptoms, physical fitness, and cardiopulmonary function in post-COVID-19 condition. A population-based analysis. Intern. Emerg. Med. 17, 2199–2208 (2022).
Bahmer, T. et al. Severity, predictors and clinical correlates of post-COVID syndrome (PCS) in Germany: a prospective, multi-centre, population-based cohort study. eClinicalMedicine 51, 101549 (2022).
Soriano, J. B., Murthy, S., Marshall, J. C., Relan, P. & Diaz, J. V. A clinical case definition of post-COVID-19 condition by a Delphi consensus. Lancet Infect. Dis. 22, e102–e107 (2022).
Government of Canada & Canada, S. Impacts of COVID-19 on Canadians—testing and vaccination, February 21 to March 13, 2022. https://www150.statcan.gc.ca/n1/daily-quotidien/220407/dq220407a-eng.htm (2022).
Hohl, C. M. et al. Development of the Canadian COVID-19 emergency department rapid response network population-based registry: a methodology study. CMAJ Open 9, E261–E270 (2021).
Hohl, C. M. et al. The CCEDRRN COVID-19 Mortality Score to predict death among nonpalliative patients with COVID-19 presenting to emergency departments: a derivation and validation study. Can. Med. Assoc. Open Access J. 10, E90–E99 (2022).
McRae, A. D. et al. CCEDRRN COVID-19 Infection Score (CCIS): development and validation in a Canadian cohort of a clinical risk score to predict SARS-CoV-2 infection in patients presenting to the emergency department with suspected COVID-19. BMJ Open 11, e055832 (2021).
Hohl, C. M. et al. Sensitivity and diagnostic yield of the first SARS-CoV-2 nucleic acid amplification test performed for patients presenting to the hospital. JAMA Netw. Open 5, e2236288–e2236288 (2022).
Hohl, C. M. et al. Treatments, resource utilization, and outcomes of COVID-19 patients presenting to emergency departments across pandemic waves: an observational study by the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN). CJEM 24, 397–407 (2022).
Bola, R. et al. Patient-reported health outcomes of SARS-CoV-2–tested patients presenting to emergency departments: a propensity score–matched prospective cohort study. Public Health 215, 1 (2023).
von Elm, E. et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 370, 806–808(2007).
Archambault, P. M. et al. Recommendations for patient engagement in patient-oriented emergency medicine research. CJEM 20, 435–442 (2018).
Staniszewska, S. et al. GRIPP2 reporting checklists: tools to improve reporting of patient and public involvement in research. BMJ 358, j3453 (2017).
Taylor, J. M. Choosing the number of controls in a matched case-control study, some sample size, power and efficiency considerations. Stat. Med. 5, 29–36 (1986).
Archambault, P. M. et al. Accuracy of self-reported COVID-19 vaccination status compared with a public health vaccination registry in Québec: observational diagnostic study. JMIR Public Health Surveill. 9, e44465 (2023).
Jones, R. et al. Risk predictors and symptom features of long COVID within a broad primary care patient population including both tested and untested patients. Pathol. Oncol. Res. 12, 93–104 (2021).
Canadian COVID-19 Emergency Department Rapid Response Network. https://www.ccedrrn.com/ (2024).
Roger Stoddard (he/him)1958-2022. Canadian Medical Association https://www.cma.ca/get-involved/patient-voice/roger-stoddard-hehim1958-2022.
Acknowledgements
In memory of Roger Stoddard (1958–2022)90, we recognize his outstanding contributions to our research team and project. He was an active patient partner within CCEDRRN, and he advocated strongly for more research on long-term sequelae of COVID-19 and post-intensive care syndrome. We also gratefully acknowledge the assistance of Amber Cragg and would like to thank The University of British Columbia clinical coordinating center staff, legal, ethics, privacy, and contract staff, and the research staff at each of the participating institutions in the network outlined in the attached supplement (Supplementary Table 11). We would also like to thank CCEDRRN national coordinator Vi Ho, and provincial coordinators Josie Kanu (BC), Aimee Goss (SK), Connie Taylor and Vlad Latiu (ON), Corinne DeMone (NS), and Chantal Lanthier, Alexandra Nadeau, Xiaoqing Xue, and David Ianuzzi (QC) for their support in collecting data for this study. The network would not exist today without the dedication of these professionals. We would also like to thank Catherine Truchon and Marie-Claude Breton at the Institut national d’excellence en santé et en services sociaux for their collaboration with this project. Thank you to all the patient partners who shared their lived experiences and perspectives to ensure that the knowledge we cocreate addresses the concerns of patients and the public. We would like to thank Colleen McGavin for having supported the creation of our patient engagement committee at the inception of our network. Creating the largest network of collaboration across Canadian emergency departments would not have been possible without the tireless efforts of emergency department chiefs, and research assistants at participating sites. Finally, our most humble and sincere gratitude to all our colleagues in medicine, nursing, and the allied health professions who have been on the frontlines of the pandemic from day 1 staffing our ambulances, emergency departments, intensive care units, and hospitals bravely facing the risks of COVID-19 to look after our fellow citizens and after each other. We dedicate this network to you. The network received peer-reviewed funding from the Canadian Institutes of Health Research (447679, 464947, and 466880), Ontario Ministry of Colleges and Universities (C-655-2129), Saskatchewan Health Research Foundation (5357), Genome BC (COV024 and VAC007), Fondation du CHU de Québec (Octroi No. 4007), and Sero-Surveillance and Research (COVID-19 Immunity Task Force Initiative). The BC Academic Health Science Network and BioTalent Canada provided non-peer-reviewed funding. These organizations are not-for-profit and had no role in study conduct, analysis, or manuscript preparation. Patrick Archambault has received a Fonds de recherche du Québec - Santé (FRQS) Senior Clinical Scholar Award.
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P.M.A., M.A., C.M.H., R.J.R., and J.P.H. conceived the study, with input on the design and selection of variables from the other contributors. P.M.A., R.J.R., L.G., S.D., J.J.P., S.B., K.C., P.D., M.E.K., E.B.P., M.L., S.G., K.N.D., R.D., L.J.M., M.M., E.M., J.S.P., Se.V., D.S., A.D.M., B.V., H.W., P.T.F. and C.M.H. obtained funding on behalf of the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) investigators, the Network of Canadian Emergency Researchers and the Canadian Critical Care Trials Group. P.M.A. and M.A. facilitated training of research assistants and data collection along with other members of the CCEDRRN and can verify the underlying data. R.J.R., J.P.H., and D.S.Y. developed the analytic plan. J.P.H. and D.S.Y. performed the analysis, with assistance from R.J.R., P.M.A., C.M.H., and M.A. including accessing and verification of underlying data. All contributors provided input on interpretation of findings namely P.M.A., R.J.R., M.A., J.P.H., L.G., S.D., J.J.P., S.B., L.J.M., R.D., D.S.Y., H.W., P.T.F., A.D.M., K.C., M.E.K., D.S., B.V., M.M., E.M., S.V., S.A., D.Z., P.D., K.N.D., J.S.P., M.L., S.G., E.B.P. and C.M.H. P.M.A., M.A., R.J.R., L.G., C.M.H., and J.P.H. drafted the manuscript with additional input from S.D., J.J.P., S.B., L.J.M., R.D., D.S.Y., H.W., P.T.F., A.D.M., K.C., M.E.K., D.S., B.V., M.M., E.M., S.V., S.A., D.Z., P.D., K.N.D., J.S.P., M.L., S.G., and E.B.P. P.M.A. is the guarantor of this work. All authors have approved the final manuscript.
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Archambault, P.M., Rosychuk, R.J., Audet, M. et al. Post-COVID-19 condition symptoms among emergency department patients tested for SARS-CoV-2 infection. Nat Commun 15, 8449 (2024). https://doi.org/10.1038/s41467-024-52404-4
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DOI: https://doi.org/10.1038/s41467-024-52404-4
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