Respiratory function and CT abnormalities among survivors of COVID-19 pneumonia: a nationwide follow-up study.

INTRODUCTION: Considering the pulmonary burden caused by acute COVID-19, questions remain of respiratory consequences after recovery. The aim of the study was to describe respiratory function of COVID-19 pneumonia survivors at mid-term follow-up (median 68 days) and assess whether impairments were predicted by acute illness severity or residual CT abnormalities. METHODS: Residents of Iceland that had COVID-19 and oxygen saturation ≤94% from 28 February 2020 to 30 April 2021 were offered a clinical follow-up visit with an interview, a 6 min walk test (6MWT), spirometry with gas exchange measurement and chest CT. The results of these examinations were described, grouped by the level of care during acute illness. The associations of disease severity and CT abnormalities at follow-up with subjective dyspnoea, 6MWT results and lung function test results were estimated with regression analyses. RESULTS: Of 190 eligible patients, 164 (86%) participated in the study. Of those, 32 had never been admitted to hospital, 103 were admitted to hospital without intensive care and 29 had required intensive care. At a follow-up, need for intensive care during acute illness was associated with shorter walking distance on 6MWT, lower oxygen saturation and lower DLCO. Imaging abnormalities at follow-up were observed for most participants (74%) and the magnitude of these changes was associated with decrements in 6MWT distance, oxygen saturation, forced vital capacity and DLCO. CONCLUSIONS: The findings show that impaired exercise capacity and lung physiology at follow-up were primarily observed for patients with COVID-19 pneumonia that required intensive care treatment and/or had persistent imaging abnormalities.

Development of a prognostic model of COVID-19 severity: a population-based cohort study in Iceland.

BACKGROUND: The severity of SARS-CoV-2 infection varies from asymptomatic state to severe respiratory failure and the clinical course is difficult to predict. The aim of the study was to develop a prognostic model to predict the severity of COVID-19 in unvaccinated adults at the time of diagnosis. METHODS: All SARS-CoV-2-positive adults in Iceland were prospectively enrolled into a telehealth service at diagnosis. A multivariable proportional-odds logistic regression model was derived from information obtained during the enrollment interview of those diagnosed between February 27 and December 31, 2020 who met the inclusion criteria. Outcomes were defined on an ordinal scale: (1) no need for escalation of care during follow-up; (2) need for urgent care visit; (3) hospitalization; and (4) admission to intensive care unit (ICU) or death. Missing data were multiply imputed using chained equations and the model was internally validated using bootstrapping techniques. Decision curve analysis was performed. RESULTS: The prognostic model was derived from 4756 SARS-CoV-2-positive persons. In total, 375 (7.9%) only required urgent care visits, 188 (4.0%) were hospitalized and 50 (1.1%) were either admitted to ICU or died due to complications of COVID-19. The model included age, sex, body mass index (BMI), current smoking, underlying conditions, and symptoms and clinical severity score at enrollment. On internal validation, the optimism-corrected Nagelkerke's R2 was 23.4% (95%CI, 22.7-24.2), the C-statistic was 0.793 (95%CI, 0.789-0.797) and the calibration slope was 0.97 (95%CI, 0.96-0.98). Outcome-specific indices were for urgent care visit or worse (calibration intercept -0.04 [95%CI, -0.06 to -0.02], Emax 0.014 [95%CI, 0.008-0.020]), hospitalization or worse (calibration intercept -0.06 [95%CI, -0.12 to -0.03], Emax 0.018 [95%CI, 0.010-0.027]), and ICU admission or death (calibration intercept -0.10 [95%CI, -0.15 to -0.04] and Emax 0.027 [95%CI, 0.013-0.041]). CONCLUSION: Our prognostic model can accurately predict the later need for urgent outpatient evaluation, hospitalization, and ICU admission and death among unvaccinated SARS-CoV-2-positive adults in the general population at the time of diagnosis, using information obtained by telephone interview.

Illness severity and risk of mental morbidities among patients recovering from COVID-19: a cross-sectional study in the Icelandic population

ObjectiveTo test if patients recovering from COVID-19 are at increased risk of mental morbidities and to what extent such risk is exacerbated by illness severity.DesignPopulation-based cross-sectional study.SettingIceland.ParticipantsA total of 22 861 individuals were recruited through invitations to existing nationwide cohorts and a social media campaign from 24 April to 22 July 2020, of which 373 were patients recovering from COVID-19.Main outcome measuresSymptoms of depression (Patient Health Questionnaire), anxiety (General Anxiety Disorder Scale) and posttraumatic stress disorder (PTSD;modified Primary Care PTSD Screen for DSM-5) above screening thresholds. Adjusting for multiple covariates and comorbidities, multivariable Poisson regression was used to assess the association between COVID-19 severity and mental morbidities.ResultsCompared with individuals without a diagnosis of COVID-19, patients recovering from COVID-19 had increased risk of depression (22.1% vs 16.2%;adjusted relative risk (aRR) 1.48, 95% CI 1.20 to 1.82) and PTSD (19.5% vs 15.6%;aRR 1.38, 95% CI 1.09 to 1.75) but not anxiety (13.1% vs 11.3%;aRR 1.24, 95% CI 0.93 to 1.64). Elevated relative risks were limited to patients recovering from COVID-19 that were 40 years or older and were particularly high among individuals with university education. Among patients recovering from COVID-19, symptoms of depression were particularly common among those in the highest, compared with the lowest tertile of influenza-like symptom burden (47.1% vs 5.8%;aRR 6.42, 95% CI 2.77 to 14.87), among patients confined to bed for 7 days or longer compared with those never confined to bed (33.3% vs 10.9%;aRR 3.67, 95% CI 1.97 to 6.86) and among patients hospitalised for COVID-19 compared with those never admitted to hospital (48.1% vs 19.9%;aRR 2.72, 95% CI 1.67 to 4.44).ConclusionsSevere disease course is associated with increased risk of depression and PTSD among patients recovering from COVID-19.

[Parenchymal lung changes on CT in patients with coronavirus disease 2019 (COVID-19)].

Introduction Infections due to COVID-19 can lead to life threatening pneumonia. Accompanying severe disease are more prominent pulmonary changes on Computed Tomography (CT) scan of the chest. The goal of this study was to describe pulmonary CT changes during acute COVID-19 and at follow up and whether the extent of changes correlate with severity of illness, demographics or other risk factors. Materials and methods Included in this study are all individuals that had confirmed COVID-19 and came for a follow up CT of the chest at Landspitali from May to September 2020. Information regarding medical history was obtained retrospectively from medical charts. All CT scans were reviewed using an international staging system to evaluate the extent of lung changes. Results Eighty-five patients with a mean age of 59 years were included in the study. Sixty patients (71%) were hospitalized during the acute phase and 18 (21%) were admitted to the ICU. During the acute phase more pronounced lung involvement was seen in males and patients admitted to the ICU. At follow-up females had less lung involvement but there was a significant relationship between a higher CT score and age, ICU admissions and days in the ICU. Full recovery was seen at follow-up CT in 31% of patients (median 68,5 days between acute and follow-up imaging). Conclusion Patients with severe COVID-19 have more pronounced lung involvement on CT than patients with milder disease during the acute phase and follow-up. Older patients and males are at greater risk of acute and persistent COVID-19 related lung changes.

Illness severity and risk of mental morbidities among patients recovering from COVID-19: a cross-sectional study in the Icelandic population.

OBJECTIVE: To test if patients recovering from COVID-19 are at increased risk of mental morbidities and to what extent such risk is exacerbated by illness severity. DESIGN: Population-based cross-sectional study. SETTING: Iceland. PARTICIPANTS: A total of 22 861 individuals were recruited through invitations to existing nationwide cohorts and a social media campaign from 24 April to 22 July 2020, of which 373 were patients recovering from COVID-19. MAIN OUTCOME MEASURES: Symptoms of depression (Patient Health Questionnaire), anxiety (General Anxiety Disorder Scale) and posttraumatic stress disorder (PTSD; modified Primary Care PTSD Screen for DSM-5) above screening thresholds. Adjusting for multiple covariates and comorbidities, multivariable Poisson regression was used to assess the association between COVID-19 severity and mental morbidities. RESULTS: Compared with individuals without a diagnosis of COVID-19, patients recovering from COVID-19 had increased risk of depression (22.1% vs 16.2%; adjusted relative risk (aRR) 1.48, 95% CI 1.20 to 1.82) and PTSD (19.5% vs 15.6%; aRR 1.38, 95% CI 1.09 to 1.75) but not anxiety (13.1% vs 11.3%; aRR 1.24, 95% CI 0.93 to 1.64). Elevated relative risks were limited to patients recovering from COVID-19 that were 40 years or older and were particularly high among individuals with university education. Among patients recovering from COVID-19, symptoms of depression were particularly common among those in the highest, compared with the lowest tertile of influenza-like symptom burden (47.1% vs 5.8%; aRR 6.42, 95% CI 2.77 to 14.87), among patients confined to bed for 7 days or longer compared with those never confined to bed (33.3% vs 10.9%; aRR 3.67, 95% CI 1.97 to 6.86) and among patients hospitalised for COVID-19 compared with those never admitted to hospital (48.1% vs 19.9%; aRR 2.72, 95% CI 1.67 to 4.44). CONCLUSIONS: Severe disease course is associated with increased risk of depression and PTSD among patients recovering from COVID-19.

[The impact of lung diseases, smoking and e-cigarette use on the severity of COVID-19 illness at diagnosis].

INTRODUCTION: The COVID-19 pandemic has caused public health and economic turmoil across the globe. Severe COVID-19 disease most often presents with pneumonia and complications in acutely ill patients often stem from the lungs. The associations of lung disease, smoking and e-cigarette use with the incidence and severity of COVID-19 are unclear on a population level. METHODS: Data on 1761 patients from the Icelandic outpatient Landspitali COVID-19 Clinic were used. The prevalence of smoking, e-cigarette use and underlying lung diseases was calculated in the cohort, with stratification based on age groups and a clinical classification of symptom severity. It was tested whether these prevalences differed between age groups and classes of symptom severity. RESULTS: Most patients were in the age group between 35-54 years of age and a large majority had mild symptoms at diagnosis. The prevalence of smoking was 6% with the highest prevalence among 35-54 year olds. The prevalence of e-cigarette use was 4%. It was most prevalent in the age group between 18-34 years. There was no difference in the prevalence of smoking or e-cigarette use between classes of symptom severity. The prevalence of lung disease was 9%. It was higher among older patients and patients with more severe symptoms. CONCLUSION: The age distribution and prevalence of lung disease and their risk factors are described in the context of COVID-19 incidence and symptom severity in a whole-nation cohort of Icelanders. The cohort is younger and had less severe symptoms than in many previosly published studies of COVID-19. Interestingly, the prevalences of smoking and e-cigarette use were lower than in the Icelandic general population and they were not associated with symptom severity at diagnosis. To conclude, the results presented here indicate that underlying lung diseases are prevalent among people with severe COVID-19 symptoms but fail to demonstrate an association between cigarette smoking or e-cigarette smoking with COVID-19 severity.