The long-term pulmonary outcomes of coronavirus disease 2019 (COVID-19) are unknown. We aimed to describe self-reported dyspnoea, quality of life, pulmonary function, and chest CT findings three months following hospital admission for COVID-19. We hypothesised outcomes to be inferior for patients admitted to intensive care units (ICU), compared with non-ICU patients.Discharged COVID-19-patients from six Norwegian hospitals were consecutively enrolled in a prospective cohort study. The current report describes the first 103 participants, including 15 ICU patients. Modified Medical Research Council dyspnoea scale (mMRC), EuroQol Group's Questionnaire, spirometry, diffusion capacity (DLCO), six-minute walk test, pulse oximetry, and low-dose CT scan were performed three months after discharge.mMRC was >0 in 54% and >1 in 19% of the participants. The median (25th–75th percentile) forced vital capacity and forced expiratory volume in one second were 94% (76, 121) and 92% (84, 106) of predicted, respectively. DLCO was below the lower limit of normal in 24%. Ground-glass opacities (GGO) with >10% distribution in ≥1 of 4 pulmonary zones were present in 25%, while 19% had parenchymal bands on chest CT. ICU survivors had similar dyspnoea scores and pulmonary function as non-ICU patients, but higher prevalence of GGO (adjusted odds ratio [95% confidence interval] 4.2 [1.1, 15.6]) and performance in lower usual activities.Three months after admission for COVID-19, one fourth of the participants had chest CT opacities and reduced diffusion capacity. Admission to ICU was associated with pathological CT findings. This was not reflected in increased dyspnoea or impaired lung function.

In a large, international cohort of patients with RA, 30% of CVD events were attributable to RA characteristics. This finding indicates that RA characteristics play an important role in efforts to reduce CVD risk among patients with RA.

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This study demonstrates for the first time that adaptations of the SCORE algorithm do not provide sufficient improvement in risk prediction of future CVD in RA to serve as an appropriate alternative to the original SCORE. Risk assessment using the original SCORE algorithm may underestimate CVD risk in patients with RA.

The QRISK2, EULAR multiplier and ERS-RA algorithms did not predict CVD risk more accurately in patients with RA than CVD risk calculators developed for the general population.