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The CovILD study is a prospective, multicenter, observational cohort study to systematically follow up patients after coronavirus disease-2019 (COVID-19). We extensively evaluated 145 COVID-19 patients at 3 follow-up visits scheduled for 60, 100, and 180 days after initial confirmed diagnosis based on typical symptoms and a positive reverse transcription-polymerase chain reaction (RT-PCR) for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). We employed comprehensive pulmonary function and laboratory tests, including serum concentrations of IgG against the viral spike (S) glycoprotein, and compared the results to clinical data and chest computed tomography (CT). We found that at the 60 day follow-up, 131 of 145 (90.3%) participants displayed S-specific serum IgG levels above the cut-off threshold. Notably, the highly elevated IgG levels against S glycoprotein positively correlated with biomarkers of immune activation and negatively correlated with pulmonary function and the extent of pulmonary CT abnormalities. Based on the association between serum S glycoprotein-specific IgG and clinical outcome, we generated an S-specific IgG-based recovery score that, when applied in the early convalescent phase, accurately predicted delayed pulmonary recovery after COVID-19. Therefore, we propose that S-specific IgG levels serve as a useful immunological surrogate marker for identifying at-risk individuals with persistent pulmonary injury who may require intensive follow-up care after COVID-19., (© 2022. The Author(s).)

Background: The optimal procedures to prevent, identify, monitor, and treat long-term pulmonary sequelae of COVID-19 are elusive. Here, we characterized the kinetics of respiratory and symptom recovery following COVID-19., Methods: We conducted a longitudinal, multicenter observational study in ambulatory and hospitalized COVID-19 patients recruited in early 2020 (n = 145). Pulmonary computed tomography (CT) and lung function (LF) readouts, symptom prevalence, and clinical and laboratory parameters were collected during acute COVID-19 and at 60, 100, and 180 days follow-up visits. Recovery kinetics and risk factors were investigated by logistic regression. Classification of clinical features and participants was accomplished by unsupervised and semi-supervised multiparameter clustering and machine learning., Results: At the 6-month follow-up, 49% of participants reported persistent symptoms. The frequency of structural lung CT abnormalities ranged from 18% in the mild outpatient cases to 76% in the intensive care unit (ICU) convalescents. Prevalence of impaired LF ranged from 14% in the mild outpatient cases to 50% in the ICU survivors. Incomplete radiological lung recovery was associated with increased anti-S1/S2 antibody titer, IL-6, and CRP levels at the early follow-up. We demonstrated that the risk of perturbed pulmonary recovery could be robustly estimated at early follow-up by clustering and machine learning classifiers employing solely non-CT and non-LF parameters., Conclusions: The severity of acute COVID-19 and protracted systemic inflammation is strongly linked to persistent structural and functional lung abnormality. Automated screening of multiparameter health record data may assist in the prediction of incomplete pulmonary recovery and optimize COVID-19 follow-up management., Funding: The State of Tyrol (GZ 71934), Boehringer Ingelheim/Investigator initiated study (IIS 1199-0424)., Clinical Trial Number: ClinicalTrials.gov: NCT04416100., Competing Interests: TS, SS, AB, AP, AL, CS, MN, PG, KK, SK, MA, BP, AE, GH, EW, GW, GW, IT, JL No competing interests declared, PT owns his own business, Data Analytics as a Service Tirol, for which he performs freelance data science work. Has also received an honorarium for the study data management, curation and analysis and minor manuscript work. The author has no other competing interests to declare, (© 2022, Sonnweber et al.)

Background: After the 2002/2003 severe acute respiratory syndrome outbreak, 30% of survivors exhibited persisting structural pulmonary abnormalities. The long-term pulmonary sequelae of coronavirus disease 2019 (COVID-19) are yet unknown, and comprehensive clinical follow-up data are lacking., Methods: In this prospective, multicentre, observational study, we systematically evaluated the cardiopulmonary damage in subjects recovering from COVID-19 at 60 and 100 days after confirmed diagnosis. We conducted a detailed questionnaire, clinical examination, laboratory testing, lung function analysis, echocardiography and thoracic low-dose computed tomography (CT)., Results: Data from 145 COVID-19 patients were evaluated, and 41% of all subjects exhibited persistent symptoms 100 days after COVID-19 onset, with dyspnoea being most frequent (36%). Accordingly, patients still displayed an impaired lung function, with a reduced diffusing capacity in 21% of the cohort being the most prominent finding. Cardiac impairment, including a reduced left ventricular function or signs of pulmonary hypertension, was only present in a minority of subjects. CT scans unveiled persisting lung pathologies in 63% of patients, mainly consisting of bilateral ground-glass opacities and/or reticulation in the lower lung lobes, without radiological signs of pulmonary fibrosis. Sequential follow-up evaluations at 60 and 100 days after COVID-19 onset demonstrated a vast improvement of symptoms and CT abnormalities over time., Conclusion: A relevant percentage of post-COVID-19 patients presented with persisting symptoms and lung function impairment along with radiological pulmonary abnormalities >100 days after the diagnosis of COVID-19. However, our results indicate a significant improvement in symptoms and cardiopulmonary status over time., Competing Interests: Conflict of interest: T. Sonnweber has nothing to disclose. Conflict of interest: S. Sahanic has nothing to disclose. Conflict of interest: A. Pizzini has nothing to disclose. Conflict of interest: A. Luger has nothing to disclose. Conflict of interest: C. Schwabl has nothing to disclose. Conflict of interest: B. Sonnweber has nothing to disclose. Conflict of interest: K. Kurz has nothing to disclose. Conflict of interest: S. Koppelstätter has nothing to disclose. Conflict of interest: D. Haschka has nothing to disclose. Conflict of interest: V. Petzer has nothing to disclose. Conflict of interest: A. Boehm has nothing to disclose. Conflict of interest: M. Aichner has nothing to disclose. Conflict of interest: P. Tymoszuk has nothing to disclose. Conflict of interest: D. Lener has nothing to disclose. Conflict of interest: M. Theurl has nothing to disclose. Conflict of interest: A. Lorsbach-Köhler has nothing to disclose. Conflict of interest: A. Tancevski has nothing to disclose. Conflict of interest: A. Schapfl has nothing to disclose. Conflict of interest: M. Schaber has nothing to disclose. Conflict of interest: R. Hilbe has nothing to disclose. Conflict of interest: M. Nairz has nothing to disclose. Conflict of interest: B. Puchner has nothing to disclose. Conflict of interest: D. Hüttenberger has nothing to disclose. Conflict of interest: C. Tschurtschenthaler has nothing to disclose. Conflict of interest: M. Aßhoff has nothing to disclose. Conflict of interest: A. Peer has nothing to disclose. Conflict of interest: F. Hartig has nothing to disclose. Conflict of interest: R. Bellmann has nothing to disclose. Conflict of interest: M. Joannidis has nothing to disclose. Conflict of interest: C. Gollmann-Tepeköylü has nothing to disclose. Conflict of interest: J. Holfeld has nothing to disclose. Conflict of interest: G. Feuchtner has nothing to disclose. Conflict of interest: A. Egger has nothing to disclose. Conflict of interest: G. Hoermann has nothing to disclose. Conflict of interest: A. Schroll has nothing to disclose. Conflict of interest: G. Fritsche has nothing to disclose. Conflict of interest: S. Wildner has nothing to disclose. Conflict of interest: R. Bellmann-Weiler has nothing to disclose. Conflict of interest: R. Kirchmair has nothing to disclose. Conflict of interest: R. Helbok has nothing to disclose. Conflict of interest: H. Prosch has nothing to disclose. Conflict of interest: D. Rieder has nothing to disclose. Conflict of interest: Z. Trajanoski has nothing to disclose. Conflict of interest: F. Kronenberg has nothing to disclose. Conflict of interest: E. Wöll has nothing to disclose. Conflict of interest: G. Weiss has nothing to disclose. Conflict of interest: G. Widmann has nothing to disclose. Conflict of interest: J. Löffler-Ragg has nothing to disclose. Conflict of interest: I. Tancevski reports an Investigator Initiated Study (IIS) grant from Boehringer Ingelheim (IIS 1199-0424)., (Copyright ©ERS 2021.)

Coronavirus disease 2019 (COVID-19) is frequently associated with iron dyshomeostasis. The latter is related to acute disease severity and COVID-19 convalescence. We herein describe iron dyshomeostasis at COVID-19 follow-up and its association with long-term pulmonary and symptomatic recovery. The prospective, multicentre, observational cohort study "Development of Interstitial Lung Disease (ILD) in Patients With Severe SARS-CoV-2 Infection (CovILD)" encompasses serial extensive clinical, laboratory, functional and imaging evaluations at 60, 100, 180 and 360 days after COVID-19 onset. We included 108 individuals with mild-to-critical acute COVID-19, whereas 75% presented with severe acute disease. At 60 days post-COVID-19 follow-up, hyperferritinaemia (35% of patients), iron deficiency (24% of the cohort) and anaemia (9% of the patients) were frequently found. Anaemia of inflammation (AI) was the predominant feature at early post-acute follow-up, whereas the anaemia phenotype shifted towards iron deficiency anaemia (IDA) and combinations of IDA and AI until the 360 days follow-up. The prevalence of anaemia significantly decreased over time, but iron dyshomeostasis remained a frequent finding throughout the study. Neither iron dyshomeostasis nor anaemia were related to persisting structural lung impairment, but both were associated with impaired stress resilience at long-term COVID-19 follow-up. To conclude, iron dyshomeostasis and anaemia are frequent findings after COVID-19 and may contribute to its long-term symptomatic outcome. [ABSTRACT FROM AUTHOR]

This study evaluates the predictive value of circulating inflammatory markers, especially neopterin, in patients with coronavirus disease 2019 (COVID-19). Within this retrospective analysis of 115 hospitalized COVID-19 patients, elevated neopterin levels upon admission were significantly associated with disease severity, risk for intensive care unit admission, need for mechanical ventilation, and death. Therefore, neopterin is a reliable predictive marker in patients with COVID-19 and may help to improve the clinical management of patients. [ABSTRACT FROM AUTHOR]

Subjective illness perception (IP) can differ from physician's clinical assessment results. Herein, we explored patient's IP during coronavirus disease 2019 (COVID-19) recovery. Participants of the prospective observation CovILD study (ClinicalTrials.gov : NCT04416100) with persistent somatic symptoms or cardiopulmonary findings one year after COVID-19 were analyzed (n = 74). Explanatory variables included demographic and comorbidity, COVID-19 course and one-year follow-up data of persistent somatic symptoms, physical performance, lung function testing, chest computed tomography and trans-thoracic echocardiography. Factors affecting IP (Brief Illness Perception Questionnaire) one year after COVID-19 were identified by regularized modeling and unsupervised clustering. In modeling, 33% of overall IP variance (R2) was attributed to fatigue intensity, reduced physical performance and persistent somatic symptom count. Overall IP was largely independent of lung and heart findings revealed by imaging and function testing. In clustering, persistent somatic symptom count (Kruskal-Wallis test: η2 = 0.31, p <.001), fatigue (η2 = 0.34, p <.001), diminished physical performance (χ 2 test, Cramer V effect size statistic: V = 0.51, p <.001), dyspnea (V = 0.37, p =.006), hair loss (V = 0.57, p <.001) and sleep problems (V = 0.36, p =.008) were strongly associated with the concern, emotional representation, complaints, disease timeline and consequences IP dimensions. Persistent somatic symptoms rather than abnormalities in cardiopulmonary testing influence IP one year after COVID-19. Modifying IP represents a promising innovative approach to treatment of post-COVID-19 condition. Besides COVID-19 severity, individual IP should guide rehabilitation and psychological therapy decisions. • Long-term sequelae affect many COVID-19 patients. • This prospective cohort study assesses illness perceptions (IP) after 1 year. • Persistent somatic symptoms have a strong influence on individual IP. • IP are largely independent of abnormalities in cardiopulmonary testing. • IP should be addressed during rehabilitation and in multimodal therapies. [ABSTRACT FROM AUTHOR]