I'm only part of the way through the methodology, but this is looking like a solid study.
People have been followed longitudinally (3, 5, 9 and 13 months) and the study is ongoing (the Sydney St. Vincent’s Hospital COVID-19 ADAPT prospective study). The people had to have a confirmed Covid-19 infection. It should be noted that the study isn't specifically of people with Long Covid - it's a prospective study and includes 128 people covering mild, moderate and hospitalised patients. I guess I have the question of, 'is the study big enough to pick up enough people developing ME/CFS?'
They have assessed a lot of things and checked for relationships between them. They seem to have taken good approaches and are transparent about what they did and about things like dropouts (which weren't high). It almost sounds as though the world might have it's act together - there's mention of the International Neuropsychology COVID-19 taskforce's recommendations for cognitive studies "where consideration of disease severity, demographics, mental health, objectively tested olfaction, and co-morbidities is conducted a priori."
Cognitive assessment
The International Neuropsychology COVID-19 taskforce informed their choice of the CogState Computerized Battery (CCB)
is a widely used and validated cognitive screening test that is culturally fair. The CCB version used in this study included Detection (reaction time), Identification (reaction time), One Card Learning (accuracy), and One Back (reaction time and accuracy).
They've considered issues like practice effects, and the different cognitive performances of different demographics and adjusted cognitive performance data to produce z values (as in, indications for departures from the expected value, given the person's demographic groups). The CCB has normative Australian data that was used in that standardisation process.
Peripheral biomarkers of brain injury
neuro-axonal with Neurofilament Light Chain (NFL);
astrogliosis with Glial fibrillary acidic protein (GFAP);
blood brain barrier permeability (BBB), brain injury and astrocytosis with S100β;
macrophage and granulocyte proliferation with Granulocyte macrophage colony-stimulating factor (GMCSF)),
and because each is abnormally elevated in COVID-19 infection (NFL
28; GFAP
29; S100β30; GMCSF
31).
A range of blood cytokines and components of the kynurenine pathway
(Interferons (IFNs), major Interleukins, monocyte chemoattractant protein-1 (MCP-1), and tumor necrosis factor-α (TNF-α),
The cytokines and chemokines that were quantified include GMCSF, IFN-γ, Interleukin-1beta (IL-1β), IL-1 receptor antagonist (IL-1 Ra), IL-2, IL-4, IL-5, IL-6, IL-8, IL- 10, IL-12p40, IL-12p70, IL-13, MCP-1, and TNF-α.
The selection of the biomarkers is founded on previous immunological findings in the same cohort, where persistently elevated IFNs (i.e., elevated expression of type I IFN (IFN-β) and type III IFN (IFN-λ1)) was associated with chest pain, and dyspnea
20 up to 8-month post diagnosis.
Next, we elected to test the components of the plasma kynurenine pathway (KP)
21,
22 which is an IFN
23,
24 stimulated myeloid cell mediated tryptophan degradation pathway important in immune tolerance, neurotoxicity, and vascular injury.
The fluorescence detector was set at excitation/emission wavelength of 280nm/438nm for detection of tryptophan (TRP) and 320 nm/438 nm for detection of 3-hydroxyanthranilic acid (3HAA) and anthranilic acid (AA). Kynurenine (KYN) and 3-hydroxykynurenine (3HK) were detected using a UV detector set to measure absorbance at 365 nm
Evaluation of recovery
At 2- and 4-month post diagnosis, the participants completed a COVID-19 functional status scale answering the four following statements: I have fully recovered after COVID-19; I feel confident returning to my pre-COVID work; I have returned to my usual activities of daily living; I have returned to my normal exercise level. For each statement, the participant rated whether they strongly agree, agree, slightly agree, slightly disagree, disagree, or strongly disagree, rated from 1 to 6.
Evaluation of mental health
I thought the 'Depression in the Medically Ill' questionnaire sounded interesting
Mental health was assessed with three screening tools to capture anxio-depressive symptoms at the first assessment, 2 months post diagnosis. In addition, participants reported whether they had been formally diagnosed with any psychiatric conditions. We used the Depression in the Medically Ill (DMI-10) which is a 10-item questionnaire. The DMI-10 accounts for confounding factors of the physical illness by focusing on cognitive symptoms of depression and avoiding measuring physical symptoms common to both depression and physical illnesses (e.g., changes in sleep, appetite, and body weight). DMI-10 scores range from 0 to 30 and a score of 9 or greater reflects a possible major depressive episode.
Inter-relationships between measures
Moreover, the clinical significance of CI [cognitive impairment] was assessed against functional status. The pathogenic axes assessed included systemic disease severity (and indirectly hypoxia), lung function, objectively tested olfaction, pre-existing and illness-associated anxiety and depression, medical comorbidities, initial visit CI, blood cytokines, the KP and peripheral biomarkers of brain injury. Time-variant predictors (all biomarkers but IFN-β IFN-λ1, olfaction) were tested for their main and time association with overall cognitive performance. The KP was also tested for its trajectory and its dynamic links to other biomarkers.