Dataset Information

The International Collaborative on Fatigue Following Infection (COFFI).

ABSTRACT: Background:The purpose of the Collaborative on Fatigue Following Infection (COFFI) is for investigators of post-infection fatigue (PIF) and other syndromes to collaborate on these enigmatic and poorly understood conditions by studying relatively homogeneous populations with known infectious triggers. Utilizing COFFI, pooled data and stored biosamples will support both epidemiological and laboratory research to better understand the etiology and risk factors for development and progression of PIF. Methods:COFFI consists of prospective cohorts from the UK, Netherlands, Norway, USA, New Zealand and Australia, with some cohorts closed and some open to recruitment. The 9 cohorts closed to recruitment total over 3,000 participants, including nearly 1000 with infectious mononucleosis (IM), > 500 with Q fever, > 800 with giardiasis, > 600 with campylobacter gastroenteritis (CG), 190 with Legionnaires disease and 60 with Ross River virus. Follow-ups have been at least 6 months and up to 10 years. All studies use the Fukuda criteria for defining chronic fatigue syndrome (CFS). Results:Preliminary analyses indicated that risk factors for non-recovery from PIF included lower physical fitness, female gender, severity of the acute sickness response, and autonomic dysfunction. Conclusions:COFFI (https://internationalcoffi.wordpress.com/) is an international collaboration which should be able to answer questions based on pooled data that are not answerable in the individual cohorts. Possible questions may include the following: Do different infectious triggers different PIF syndromes (e.g., CFS vs. irritable bowel syndrome)?; What are longitudinal predictors of PIF and its severity?

SUBMITTER: Katz BZ

PROVIDER: S-EPMC6333416 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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The International Collaborative on Fatigue Following Infection (COFFI).

Katz Ben Z BZ Collin Simon M SM Murphy Gabrielle G Moss-Morris Rona R Wyller Vegard Bruun VB Wensaas Knut-Arne KA Hautvast Jeannine L A JLA Bleeker-Rovers Chantal P CP Vollmer-Conna Ute U Buchwald Dedra D Taylor Renée R Little Paul P Crawley Esther E White Peter D PD Lloyd Andrew A

Fatigue : biomedicine, health & behavior 20180119 2

<h4>Background</h4>The purpose of the Collaborative on Fatigue Following Infection (COFFI) is for investigators of post-infection fatigue (PIF) and other syndromes to collaborate on these enigmatic and poorly understood conditions by studying relatively homogeneous populations with known infectious triggers. Utilizing COFFI, pooled data and stored biosamples will support both epidemiological and laboratory research to better understand the etiology and risk factors for development and progressio ...[more]

PMID: 30666281

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Project description:BackgroundThe long-term clinical and physiological consequences of COVID-19 infection remain unclear. While fatigue has emerged as a common symptom following infection, little is known about its links with autonomic dysfunction. SARS-CoV-2 is known to infect endothelial cells in acute infection, resulting in autonomic dysfunction. Here we set out to test the hypothesis that this results in persistent autonomic dysfunction and is associated with post-COVID fatigue in convalescent patients.MethodsWe recruited 20 fatigued and 20 non-fatigued post-COVID patients (median age 44.5 years, 36/40 (90%) female, median time to follow up 166.5 days). Fatigue was assessed using the Chalder Fatigue Scale. These underwent the Ewing's autonomic function test battery, including deep breathing, active standing, Valsalva manoeuvre and cold-pressor testing, with continuous electrocardiogram and blood pressure monitoring, as well as near-infrared spectroscopy-based cerebral oxygenation. 24-hour ambulatory blood pressure monitoring was also conducted, and patients completed the generalised anxiety disorder-7 questionnaire. We assessed between-group differences in autonomic function test results and used unadjusted and adjusted linear regression to investigate the relationship between fatigue, anxiety, and autonomic test results.ResultsWe found no pathological differences between fatigued and non-fatigued patients on autonomic testing or on 24-hour blood pressure monitoring. Symptoms of orthostatic intolerance were reported by 70% of the fatigued cohort at the time of active standing, with no associated physiological abnormality detected. Fatigue was strongly associated with increased anxiety (p <0.001), with no patients having a pre-existing diagnosis of anxiety.ConclusionsThese results demonstrate the significant burden of fatigue, symptoms of autonomic dysfunction and anxiety in the aftermath of COVID-19 infection, but reassuringly do not demonstrate pathological findings on autonomic testing.

Project description:BackgroundThe SARS-COV2 pandemic has been ongoing worldwide since at least 2 years. In severe cases, this infection triggers acute respiratory distress syndrome and quasi-systemic damage with a wide range of symptoms. Long-term physical and psychological consequences of this infection are therefore naturally present among these patients. The aim of this study was to describe the state of health of these patients at 6 (M6) and 12 months (M12) after infection onset, and compare quality-of-life (QOL) and fatigue at these time-points.MethodsA prospective cohort study was set up at Reims University Hospital. Patients were clinically assessed at M6 and M12. Three scores were calculated to describe patient's status: the modified Medical Research Council score (mMRC) used to determine dyspnoea state, the Fatigue Severity Scale (FSS) and the Short Form 12 (SF12) that was carried out to determine the QOL both mentally and physically (MCS12 and PCS12). Descriptive analysis and comparison of scores between M6 and M12 were made.Results120 patients completed both follow-up consultations. Overall, about 40% of the patients presented dyspnoea symptoms. The median mMRC score was 1 Interquartile ranges (IQR) = [0-2] at the two assessment. Concerning FSS scores, 35% and 44% of patients experienced fatigue at both follow-ups. The two scores of SF12 were lower than the general population standard scores. The mean PCS12 score was 42.85 (95% confidence interval (95% CI [41.05-44.65])) and mean MCS12 score of 46.70 (95% CI [45.34-48.06]) at 6 months. At 12 months, the mean PCS12 score was 42.18 (95% confidence interval (95% CI [40.46-43.89])) and mean MCS12 score of 47.13 (95% CI [45.98-48.28]). No difference was found between SF12 scores at 6 and 12 months.ConclusionsThis study pinpoints the persistence of fatigue and a low mental and physical QOL compared to population norms even after 1 year following infection. It also supports the claims of mental or psychological alterations due to infection by this new virus, hence a lower overall QOL in patients.

Project description:BackgroundSevere fatigue can persist for months after coronavirus disease 2019 (COVID-19) onset. This longitudinal study describes fatigue severity and its determinants up to 12 months after illness onset across the full spectrum of COVID-19 severity.MethodsRECoVERED, a prospective cohort study in Amsterdam, the Netherlands, enrolled participants aged ≥16 years after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnosis. Fatigue was measured using the validated Short Fatigue Questionnaire (SFQ; range 4-28) at months 1, 3, 6, 9, and 12 of follow-up. Fatigue severity was modeled over time using mixed-effects linear regression. Determinants of severe fatigue (SFQ ≥18) at 6 months since illness onset (ie, persistent fatigue) were identified using logistic regression.ResultsBetween May 2020 and July 2021, 303 participants completed at least 1 fatigue questionnaire. Twelve months after illness onset, 17.4% (95% CI, 6.7% to 38.3%), 21.6% (95% CI, 11.2% to 37.7%), and 44.8% (95% CI, 28.0% to 62.9%) of participants with mild, moderate, and severe/critical COVID-19 (World Health Organization definition), respectively, experienced severe fatigue. When adjusting for age and sex, having ≥3 comorbidities (P = .007), severe/critical COVID-19 (P = .002), low mood (P < .001), and dyspnea in the first 2 weeks of illness (P = .001) were associated with more severe fatigue over time. Severe/critical COVID-19 (adjusted odds ratio [aOR], 3.37; 95% CI, 1.28 to 8.93) and low mood at enrollment (aOR, 2.43; 95% CI, 1.11 to 5.29) were associated with persistent fatigue. Recovery rarely occurred beyond 6 months after illness onset, regardless of COVID-19 severity.ConclusionsThe occurrence of severe fatigue in our cohort was high, especially among those with initially severe/critical COVID-19, with little recovery beyond 6 months after illness onset. Our findings highlight an urgent need for improved understanding of persistent severe fatigue following COVID-19 to help inform prevention and intervention.

Project description:BackgroundDespite concerns that patients with liver transplants might be at increased risk of adverse outcomes from COVID-19 because of coexisting comorbidities and use of immunosuppressants, the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on this patient group remains unclear. We aimed to assess the clinical outcomes in these patients.MethodsIn this multicentre cohort study, we collected data on patients with laboratory-confirmed SARS-CoV-2 infection, who were older than 18 years, who had previously received a liver transplant, and for whom data had been submitted by clinicians to one of two international registries (COVID-Hep and SECURE-Cirrhosis) at the end of the patient's disease course. Patients without a known hospitalisation status or mortality outcome were excluded. For comparison, data from a contemporaneous cohort of consecutive patients with SARS-CoV-2 infection who had not received a liver transplant were collected from the electronic patient records of the Oxford University Hospitals National Health Service Foundation Trust. We compared the cohorts with regard to several outcomes (including death, hospitalisation, intensive care unit [ICU] admission, requirement for intensive care, and need for invasive ventilation). A propensity score-matched analysis was done to test for an association between liver transplant and death.FindingsBetween March 25 and June 26, 2020, data were collected for 151 adult liver transplant recipients from 18 countries (median age 60 years [IQR 47-66], 102 [68%] men, 49 [32%] women) and 627 patients who had not undergone liver transplantation (median age 73 years [44-84], 329 [52%] men, 298 [48%] women). The groups did not differ with regard to the proportion of patients hospitalised (124 [82%] patients in the liver transplant cohort vs 474 [76%] in the comparison cohort, p=0·106), or who required intensive care (47 [31%] vs 185 [30%], p=0·837). However, ICU admission (43 [28%] vs 52 [8%], p<0·0001) and invasive ventilation (30 [20%] vs 32 [5%], p<0·0001) were more frequent in the liver transplant cohort. 28 (19%) patients in the liver transplant cohort died, compared with 167 (27%) in the comparison cohort (p=0·046). In the propensity score-matched analysis (adjusting for age, sex, creatinine concentration, obesity, hypertension, diabetes, and ethnicity), liver transplantation did not significantly increase the risk of death in patients with SARS-CoV-2 infection (absolute risk difference 1·4% [95% CI -7·7 to 10·4]). Multivariable logistic regression analysis showed that age (odds ratio 1·06 [95% CI 1·01 to 1·11] per 1 year increase), serum creatinine concentration (1·57 [1·05 to 2·36] per 1 mg/dL increase), and non-liver cancer (18·30 [1·96 to 170·75]) were associated with death among liver transplant recipients.InterpretationLiver transplantation was not independently associated with death, whereas increased age and presence of comorbidities were. Factors other than transplantation should be preferentially considered in relation to physical distancing and provision of medical care for patients with liver transplants during the COVID-19 pandemic.FundingEuropean Association for the Study of the Liver, US National Institutes of Health, UK National Institute for Health Research.

Dataset Information

The International Collaborative on Fatigue Following Infection (COFFI).

Publications

The International Collaborative on Fatigue Following Infection (COFFI).

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