Immunomodulatory drugs for COVID-19 (one or more per patient) included corticosteroids (7), interleukin-7 (8), and tocilizumab (1). Continuous variables are expressed as median (interquartile range), and categorical variables as n and (%).

Background COVID-19 pandemic resulted in an unprecedented number of hospitalizations in general wards and intensive care units (ICU). Severe and critical COVID-19 patients suffer from extensive pneumonia; therefore, long-term respiratory sequelae may be expected. Research question We conducted a cohort study to determine respiratory sequelae in patients with severe and critical COVID-19. We aimed at evaluating the proportion of patients with persisting respiratory symptoms and/or abnormalities in pulmonary function tests (PFT) or in lung imaging. Study design and methods: This is a single center cohort study including COVID-19 survivors who underwent a three-month follow-up with clinical evaluation, PFT and lung high-resolution computed tomography (HRCT). All clinical, functional, and radiological data were centrally reviewed. Multiple linear regression analysis was performed to identify factors associated with residual lesions on HRCT. Results Full clinical evaluation, PFT and lung HRCT were available for central review in 126, 122 and 107 patients, respectively. At follow-up, 25% of patients complained from dyspnea and 35% from fatigue, lung diffusion capacity (DLCO) was decreased in 45%, 17% had HRCT abnormalities affecting more than 5% of their lung parenchyma while signs of fibrosis were found in 21%. In multiple linear regression model, number of days in ICU were related to the extent of persisting lesions on HRCT, while intubation was associated with signs of fibrosis at follow-up (P = 0.0005, Fisher's exact test). In contrast, the severity of lung imaging or PFT changes were not predictive of fatigue and dyspnea. Interpretation Although most hospitalized COVID-19 patients recover, a substantial proportion complains from persisting dyspnea and fatigue. Impairment of DLCO and signs suggestive of fibrosis are common but are not strictly related to long-lasting symptoms.

Background The impact of the COVID-19 pandemic on functional exercise capacity seemed quickly clinically evident. The objective of this study was to assess the functional exercise capacity of patients with severe COVID-19 and to evaluate the effect of a telerehabilitation program in the specific context of the COVID-19 pandemic. Method Patients hospitalized for severe or critical COVID-19 were recruited. The functional exercise capacity (one-minute sit-to-stand test (STST)) was prospectively quantified at discharge. A telerehabilitation program was then proposed. A control group was composed with the patients refusing the program. Results At discharge, none of the 48 recruited patients had a STST higher than the 50th percentile and 77% of them were below the 2.5th percentile. SpO2 was 92.6 ± 3.0% after STST and 15 patients had oxygen desaturation. After 3-months of follow-up, the number of repetitions during STST significantly increased either in telerehabilitation (n=14)(p<0.001) or in control groups (n=13)(p=0.002) but only one patient had a result higher than the 50th percentile (in Telerehabilitation group) and 37% of them were still under the 2.5th percentile for this result. The improvement was significantly and clinically greater after the telerehabilitation program (p=0.005). No adverse events were reported by the patients during the program. Conclusions Patients hospitalized for COVID-19 have a low functional exercise capacity at discharge and the recovery after three months is poor. The feasibility and the effect of a simple telerehabilitation program were verified, this program being able to substantially improve the functional recovery after three months.

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Introduction Small-cell lung cancer (SCLC) is the most aggressive subtype of lung cancer, with no early detection strategy or targeted therapy currently available. We hypothesized that difference gel electrophoresis (DIGE) may identify membrane-associated proteins (MAPs) specific to SCLC, advance our understanding of SCLC biology, and discover new biomarkers of SCLC. Methods MAP lysates were prepared from three SCLCs, three non–small-cell lung cancers, and three immortalized normal bronchial epithelial cell lines and coanalyzed by DIGE. Subsequent protein identification was performed by mass spectrometry. Proteins were submitted to Ingenuity Pathway Analysis. Candidate biomarkers were validated by Western blotting (WB) and immunohistochemistry (IHC). Results Principal component analysis on the global DIGE data set demonstrated that the four replicates derived from each of the nine cell lines clustered closely, as did samples within the same histological group. One hundred thirty-seven proteins were differentially expressed in SCLC compared with non–small-cell lung cancer and immortalized normal bronchial epithelial cells. These proteins were overrepresented in cellular/tissue morphology networks. Dihydropyrimidinase-related protein 2, guanine nucleotide–binding protein alpha-q, laminin receptor 1, pontin, and stathmin 1 were selected as candidate biomarkers among MAPs overexpressed in SCLC. Overexpression of all candidates but RSSA in SCLC was verified by WB and/or IHC on tissue microarrays. These proteins were significantly associated with SCLC histology and survival in univariables analyses. Conclusion DIGE analysis of a membrane-associated subproteome discovered overexpression of dihydropyrimidinase-related protein 2, guanine nucleotide–binding protein alpha-q, RUVB1, and stathmin 1 in SCLC. Results were verified by WB and/or IHC in primary tumors, suggesting that investigating their functional relevance in SCLC progression is warranted. Association with survival requires further validation in larger clinical data sets.

The kinetics of IgG antibodies after coronavirus disease 2019 (COVID‐19) remain poorly understood. We investigated factors influencing severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) IgG antibody levels and time to seronegativation during the follow‐up of severe and critically ill patients. We retrospectively reviewed serological evaluations drawn during the follow‐up of severe or critical laboratory‐proven COVID‐19 patients hospitalized at a large academic hospital. Specific IgG titers were measured using a chemiluminescent assay targeting anti‐spike and anti‐nucleocapsid protein IgG. The influence of time, demographic factors, clinical and paraclinical characteristics, and COVID‐19 therapeutics on IgG levels were assessed through linear regression using a mixed‐effect model, and delay until IgG negativation through a Weibull regression model. The cohort included 116 patients with a total of 154 IgG measurements drawn at a median of 79 days after diagnosis. IgG antibodies were increased with age ( p = 0.005) and decreased significantly over time ( p = 0.0002). Using elapsed time and age as covariates, we demonstrated higher IgG levels in patients with a higher body mass index (BMI) ( p = 0.0026) and lower IgG levels in immunocompromised patients ( p = 0.032). A high BMI was further found to delay and immunodeficiency to hasten significantly seronegativation, whereas no significant effect was observed with corticosteroids. These data highlight the waning over time of IgG antibodies after severe or critical COVID‐19. Age, BMI, and immunosuppression also appear to influence the IgG kinetics, while short‐term corticotherapy does not. Those data improve the understanding of SARS‐CoV‐2 serology while further research should determine the determinants of long‐term seroprotection.

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months. Among patients who discontinued brigatinib, 100 (59.9%) received subsequent ALK-TKIs. Lorlatinib was the most common next ALK TKI (57.0%), followed by brigatinib retreatment (16.0%), alectinib (13.0%), ceritinib (10.0%), and crizotinib (4.0%). The median (95% CI) TTD of the post-brigatinib ALK TKI was 7.2 (3.9-13.8) months. In patients who received crizotinib then brigatinib, the median (95% CI) TTD of the post-brigatinib ALK TKI was 6.7 (3.7-22.2) months. In patients who received lorlatinib after brigatinib was discontinued, median (95% CI) lorlartinib TTD was 8.0 (3.9-not reached) months.Conclusions: These results indicate that brigatinib has real-world durable clinical effects for patients. Treatment with subsequent TKIs, can still bring benefit to patients after discontinuing brigatinib. More formalized prospective data are needed to establish sequencing recommendations.