Large numbers of people are being discharged from hospital following COVID-19 without assessment of recovery. In 384 patients (mean age 59.9 years; 62% male) followed a median 54 days post discharge, 53% reported persistent breathlessness, 34% cough and 69% fatigue. 14.6% had depression. In those discharged with elevated biomarkers, 30.1% and 9.5% had persistently elevated d-dimer and C reactive protein, respectively. 38% of chest radiographs remained abnormal with 9% deteriorating. Systematic follow-up after hospitalisation with COVID-19 identifies the trajectory of physical and psychological symptom burden, recovery of blood biomarkers and imaging which could be used to inform the need for rehabilitation and/or further investigation.

Absence of prior M. tuberculosis infection or sensitization with environmental mycobacteria is associated with higher efficacy of BCG against pulmonary tuberculosis and possibly against miliary and meningeal tuberculosis. Evaluations of new tuberculosis vaccines should account for the possibility that prior infection may mask or block their effects.

Background The impact of COVID-19 on physical and mental health and employment after hospitalisation with acute disease is not well understood. The aim of this study was to determine the effects of COVID-19-related hospitalisation on health and employment, to identify factors associated with recovery, and to describe recovery phenotypes. MethodsThe Post-hospitalisation COVID-19 study (PHOSP-COVID) is a multicentre, long-term follow-up study of adults (aged ≥18 years) discharged from hospital in the UK with a clinical diagnosis of COVID-19, involving an assessment between 2 and 7 months after discharge, including detailed recording of symptoms, and physiological and biochemical testing. Multivariable logistic regression was done for the primary outcome of patient-perceived recovery, with age, sex, ethnicity, body-mass index, comorbidities, and severity of acute illness as covariates. A posthoc cluster analysis of outcomes for breathlessness, fatigue, mental health, cognitive impairment, and physical performance was done using the clustering large applications k-medoids approach. The study is registered on the ISRCTN Registry (ISRCTN10980107). Findings We report findings for 1077 patients discharged from hospital between March 5 and Nov 30, 2020, who underwent assessment at a median of 5•9 months (IQR 4•9-6•5) after discharge. Participants had a mean age of 58 years (SD 13); 384 (36%) were female, 710 (69%) were of white ethnicity, 288 (27%) had received mechanical ventilation, and 540 (50%) had at least two comorbidities. At follow-up, only 239 (29%) of 830 participants felt fully recovered, 158 (20%) of 806 had a new disability (assessed by the Washington Group Short Set on Functioning), and 124 (19%) of 641 experienced a health-related change in occupation. Factors associated with not recovering were female sex, middle age (40-59 years), two or more comorbidities, and more severe acute illness. The magnitude of the persistent health burden was substantial but only weakly associated with the severity of acute illness. Four clusters were identified with different severities of mental and physical health impairment (n=767): very severe (131 patients, 17%), severe (159, 21%), moderate along with cognitive impairment (127, 17%), and mild (350, 46%). Of the outcomes used in the cluster analysis, all were closely related except for cognitive impairment. Three (3%) of 113 patients in the very severe cluster, nine (7%) of 129 in the severe cluster, 36 (36%) of 99 in the moderate cluster, and 114 (43%) of 267 in the mild cluster reported feeling fully recovered. Persistently elevated serum C-reactive protein was positively associated with cluster severity.Interpretation We identified factors related to not recovering after hospital admission with COVID-19 at 6 months after discharge (eg, female sex, middle age, two or more comorbidities, and more acute severe illness), and four different recovery phenotypes. The severity of physical and mental health impairments were closely related, whereas cognitive health impairments w...

RationaleNew approaches to define factors underlying the immunopathogenesis of pulmonary diseases including sarcoidosis and tuberculosis are needed to develop new treatments and biomarkers. Comparing the blood transcriptional response of tuberculosis to other similar pulmonary diseases will advance knowledge of disease pathways and help distinguish diseases with similar clinical presentations.ObjectivesTo determine the factors underlying the immunopathogenesis of the granulomatous diseases, sarcoidosis and tuberculosis, by comparing the blood transcriptional responses in these and other pulmonary diseases.MethodsWe compared whole blood genome-wide transcriptional profiles in pulmonary sarcoidosis, pulmonary tuberculosis, to community acquired pneumonia and primary lung cancer and healthy controls, before and after treatment, and in purified leucocyte populations.Measurements and Main ResultsAn Interferon-inducible neutrophil-driven blood transcriptional signature was present in both sarcoidosis and tuberculosis, with a higher abundance and expression in tuberculosis. Heterogeneity of the sarcoidosis signature correlated significantly with disease activity. Transcriptional profiles in pneumonia and lung cancer revealed an over-abundance of inflammatory transcripts. After successful treatment the transcriptional activity in tuberculosis and pneumonia patients was significantly reduced. However the glucocorticoid-responsive sarcoidosis patients showed a significant increase in transcriptional activity. 144-blood transcripts were able to distinguish tuberculosis from other lung diseases and controls.ConclusionsTuberculosis and sarcoidosis revealed similar blood transcriptional profiles, dominated by interferon-inducible transcripts, while pneumonia and lung cancer showed distinct signatures, dominated by inflammatory genes. There were also significant differences between tuberculosis and sarcoidosis in the degree of their transcriptional activity, the heterogeneity of their profiles and their transcriptional response to treatment.

Interferon-γ release assays (IGRAs) are now established for the immunodiagnosis of latent infection with Mycobacterium tuberculosis in many countries. However, the role of IGRAs for the diagnosis of active tuberculosis (TB) remains unclear. Following preferred reporting items for systematic reviews and meta-analyses (PRISMA) and quality assessment of diagnostic accuracy studies (QUADAS) guidelines, we searched PubMed, EMBASE and Cochrane databases to identify studies published in January 2001-November 2009 that evaluated the evidence of using QuantiFERON-TB® Gold in-tube (QFT-G-IT) and T-SPOT.TB® directly on blood or extrasanguinous specimens for the diagnosis of active TB. The literature search yielded 844 studies and 27 met the inclusion criteria. In blood and extrasanguinous fluids, the pooled sensitivity for the diagnosis of active TB was 80% (95% CI 75-84%) and 48% (95% CI 39-58%) for QFT-G-IT, and 81% (95% CI 78-84%) and 88% (confirmed and unconfirmed cases) (95% CI 82-92%) for T-SPOT.TB®, respectively. In blood and extrasanguinous fluids, the pooled specificity was 79% (95% CI 75-82%) and 82% (95% CI 70-91%) for QFT-G-IT, and 59% (95% CI 56-62%) and 82% (95% CI 78-86%) for T-SPOT.TB®, respectively. Although the diagnostic sensitivities of both IGRAs were higher than that of tuberculin skin tests, it was still not high enough to use as a rule out test for TB. Positive evidence for the use of IGRAs in compartments other than blood will require more independent and carefully designed prospective studies.

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IntroductionMycobacterium tuberculosis infects one-third of the world's population (1) and is transmitted by the aerosol route. Although the mechanisms whereby M. tuberculosis evades the host immune response are increasingly well understood (2), those by which M. tuberculosis engages the immune response to drive tissue destruction and hence transmission are relatively poorly characterized (3). The events underlying this immunopathology are not well defined, in part because the mouse, one of the most useful models in which to study M. tuberculosis immunology, does not develop lung pathology similar to that of humans (4, 5). In humans, M. tuberculosis subverts the host immune response to drive proteolytic destruction of the extracellular matrix scaffold. The current paradigm of tuberculosis (TB) pathology proposes that caseation leads directly to cavitation (2, 4, 6). However, this model overlooks that fact that destruction of lung extracellular matrix must be driven by proteases. Fibrillar collagens provide the lung's tensile strength and are highly resistant to enzymatic degradation (7,8). Only collagenolytic MMPs can cleave these helical collagens at neutral pH (9).MMPs are a family of zinc-dependent proteases that can collectively degrade all components of the extracellular matrix (8). MMP activity is tightly regulated at the level of transcription and activation by proteolytic cleavage. MMPs are specifically inhibited by tissue inhibitor of metalloproteinases (TIMPs) (9). Excessive MMP activity is implicated in diverse pulmonary pathologies characterized by extracellular matrix destruction (8). However, despite the potentially key role of MMPs in lung matrix destruction in human TB, the central mechanisms resulting in tissue damage have not been defined.

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