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1.
Pneumologie ; 77(3): 143-157, 2023 Mar.
Article in German | MEDLINE | ID: covidwho-2251663

ABSTRACT

The SARS-CoV-2 pandemic had a tremendous impact on diagnosis and treatment of interstitial lung diseases (ILD). Especially in the early phase of the pandemic, when the delta variant was prevailling, a huge number of viral pneumonias were observed, which worsened pre-existing, triggered de novo occurence or discovery of previously subclincal interstitial lung diseases. The effect of SARS-CoV-2 infection - without or with accompanying viral pneumonia - on the further development of pre-existing ILD as well of new pulmonary inflitrates and consolidiations is difficult to predict and poses a daily challenge to interdisciplinary ILD boards. This position paper of the German Respiratory Society (DGP e.V.) provides answers to the most pressing questions based on current knowledge.


Subject(s)
COVID-19 , Lung Diseases, Interstitial , Pneumonia, Viral , Humans , SARS-CoV-2 , Lung Diseases, Interstitial/diagnosis , Lung Diseases, Interstitial/therapy , Lung , Pneumonia, Viral/diagnosis , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy
3.
ERJ open research ; 2022.
Article in English | EuropePMC | ID: covidwho-1929447

ABSTRACT

Granulocyte-Macrophage Colony Stimulating Factor (GM-CSF) signaling is essential in both alveolar macrophages (AMs) differentiation and activation of lung immune cells [1]. Differentiated AMs are crucial in both the elimination of alveolar microbes and surfactant clearance. The disruption of the GM-CSF axis in alveolar macrophages leads to the development of pulmonary alveolar proteinosis (PAP) [1]. In the majority of patients this relates to the presence of autoantibodies against GM-CSF autoimmune (a)PAP but there are multiple other causes [1, 2, 3]. GM-CSF deficient animals may have impaired lung inflammatory response to commensal microbes and humans with PAP may occasionally develop opportunistic lung infections [4]. The mainstay of pharmacological treatment in aPAP is inhaled GM-CSF which is off-label but increasingly used worldwide [5, 6, 7, 8, 9].

4.
Eur Respir J ; 58(3)2021 09.
Article in English | MEDLINE | ID: covidwho-1403207

ABSTRACT

INTRODUCTION: For the management of patients referred to respiratory triage during the early stages of the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic, either chest radiography or computed tomography (CT) were used as first-line diagnostic tools. The aim of this study was to compare the impact on the triage, diagnosis and prognosis of patients with suspected COVID-19 when clinical decisions are derived from reconstructed chest radiography or from CT. METHODS: We reconstructed chest radiographs from high-resolution CT (HRCT) scans. Five clinical observers independently reviewed clinical charts of 300 subjects with suspected COVID-19 pneumonia, integrated with either a reconstructed chest radiography or HRCT report in two consecutive blinded and randomised sessions: clinical decisions were recorded for each session. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and prognostic value were compared between reconstructed chest radiography and HRCT. The best radiological integration was also examined to develop an optimised respiratory triage algorithm. RESULTS: Interobserver agreement was fair (Kendall's W=0.365, p<0.001) by the reconstructed chest radiography-based protocol and good (Kendall's W=0.654, p<0.001) by the CT-based protocol. NPV assisted by reconstructed chest radiography (31.4%) was lower than that of HRCT (77.9%). In case of indeterminate or typical radiological appearance for COVID-19 pneumonia, extent of disease on reconstructed chest radiography or HRCT were the only two imaging variables that were similarly linked to mortality by adjusted multivariable models CONCLUSIONS: The present findings suggest that clinical triage is safely assisted by chest radiography. An integrated algorithm using first-line chest radiography and contingent use of HRCT can help optimise management and prognostication of COVID-19.


Subject(s)
COVID-19 , Triage , Humans , Lung/diagnostic imaging , Radiography , Radiography, Thoracic , SARS-CoV-2 , Tomography, X-Ray Computed
6.
J Med Virol ; 92(10): 2216-2220, 2020 10.
Article in English | MEDLINE | ID: covidwho-619029

ABSTRACT

Severe acute respiratory syndrome coronavirus 2-induced direct cytopathic effects against type I and II pneumocytes mediate lung damage. Krebs von den Lungen-6 (KL-6) is mainly produced by damaged or regenerating alveolar type II pneumocytes. This preliminary study analyzed serum concentrations of KL-6 in patients with coronavirus disease (COVID-19) to verify its potential as a prognostic biomarker of severity. Twenty-two patients (median age [interquartile range] 63 [59-68] years, 16 males) with COVID-19 were enrolled prospectively. Patients were divided into mild-moderate and severe groups, according to respiratory impairment and clinical management. KL-6 serum concentrations and lymphocyte subset were obtained. Peripheral natural killer (NK) cells/µL were significantly higher in nonsevere patients than in the severe group (P = .0449) and the best cut-off value was 119 cells/µL. KL-6 serum concentrations were significantly higher in severe patients than the nonsevere group (P = .0118). Receiver operating characteristic analysis distinguished severe and nonsevere patients according to KL-6 serum levels and the best cut-off value was 406.5 U/mL. NK cell analysis and assay of KL-6 in serum can help identify severe COVID-19 patients. Increased KL-6 serum concentrations were observed in patients with severe pulmonary involvement, revealing a prognostic value and supporting the potential usefulness of KL-6 measurement to evaluate COVID-19 patients' prognosis.


Subject(s)
Biomarkers/blood , COVID-19/blood , COVID-19/diagnosis , Mucin-1/blood , Aged , COVID-19/immunology , COVID-19/virology , Female , Humans , Killer Cells, Natural/immunology , Killer Cells, Natural/virology , Lung/immunology , Lung/virology , Male , Middle Aged , Pandemics , Prognosis , ROC Curve , SARS-CoV-2/pathogenicity
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