Prevalence of post-acute coronavirus disease 2019 symptoms twelve months after hospitalization in participants retained in follow-up: analyses stratified by gender from a large prospective cohort.

OBJECTIVES: Persistent post-acute coronavirus disease 2019 (COVID-19) symptoms (PACSs) have been reported up to 6 months after hospital discharge. Herein we assessed the symptoms that persisted 12 months (M12) after admission for COVID-19 in the longitudinal prospective national French coronavirus disease cohort. METHODS: Hospitalized patients with a confirmed virological diagnosis of COVID-19 were enrolled. Follow-up was planned until M12 after admission. Associations between persistence of ≥3 PACSs at M12 and clinical characteristics at admission were assessed through logistic regression according to gender. RESULTS: We focused on participants enrolled between 24 January 2020 and 15 July 2020, to allow M12 follow-up. The M12 data were available for 737 participants. Median age was 61 years, 475 (64%) were men and 242/647 (37%) were admitted to intensive care units during the acute phase. At M12, 27% (194/710) of the participants had ≥3 persistent PACS, mostly fatigue, dyspnoea and joint pain. Among those who had a professional occupation before the acute phase, 91 out of 339 (27%) were still on sick leave at M12. Presence of ≥3 persistent PACS was associated with female gender, both anxiety and depression, impaired health-related quality of life and Medical Muscle Research Council Scale <57. Compared with men, women more often reported presence of ≥3 persistent PACSs (98/253, 39% vs. 96/457, 21%), depression and anxiety (18/152, 12% vs. 17/268, 6% and 33/156, 21% vs. 26/264, 10%, respectively), impaired physical health-related quality of life (76/141, 54% vs. 120/261, 46%). Women had less often returned to work than men (77/116, 66% vs. 171/223, 77%). CONCLUSIONS: One fourth of the individuals admitted to hospital for COVID-19 still had ≥3 persistent PACSs at M12 post-discharge. Women reported more often ≥3 persistent PACSs, suffered more from anxiety and depression and had less often returned to work than men.

Prevalence of post-acute COVID-19 symptoms twelve months after hospitalisation in participants retained in follow-up: analyses stratified by gender from a large prospective cohort

Objectives Persistent post-acute COVID-19 symptom (PACS) have been reported up to 6-months (M6) after hospital discharge. Here we assessed, in the longitudinal prospective national French COVID cohort, symptoms that persisted 12-months (M12) after admission for COVID-19. Methods Hospitalized patients with a virologically-confirmed COVID-19 were enrolled. Follow-up was planned until M12 post-admission. Associations between persistence of ≥3 PACS at M12 and clinical characteristics at admission were assessed through logistic regression according to gender. Results We focused on participants enrolled between January 24th and July 15th 2020, in order to allow M12 follow-up. M12 data were available for 737 participants. Median age was 61 years, 475 (64%) were men and 242/647 (37%) were admitted to ICU during the acute phase. At M12, 194/710 (27%) of participants had ≥3 persistent PACS, mostly fatigue, dyspnea and joint pain. Among those who had a professional occupation before the acute phase 91/339 (27%) were still on sick leave at M12. Presence of ≥3 persistent PACS was associated with female gender, both anxiety and depression, impaired health-related quality of life (HRQL) and mMRC scale <57. Compared to men, women more often reported presence of >3 persistent PACS (98/253, 39% vs 96/457, 21%), depression and anxiety (18/152, 12% vs 17/268, 6% and 33/156, 21% vs 26/264, 10%, respectively), impaired physical HRQL (76/141, 54% vs 120/261, 46%). Women had less often returned to work than men (77/116, 66% vs 171/223, 77%). Conclusions A fourth of individuals admitted to hospital for COVID-19 still had ≥3 persistent PACS at M12 post-discharge. Women reported more often ≥3 persistent PACS, suffered more from anxiety and depression, and had less often returned to work than men.

Convalescent plasma improves overall survival in patients with B-cell lymphoid malignancy and COVID-19: a longitudinal cohort and propensity score analysis.

Patients with hematological malignancy and COVID-19 display a high mortality rate. In such patients, immunosuppression due to underlying disease and previous specific treatments impair humoral response, limiting viral clearance. Thus, COVID-19 convalescent plasma (CCP) therapy appears as a promising approach through the transfer of neutralizing antibodies specific to SARS-CoV-2. We report the effect of CCP in a cohort of 112 patients with hematological malignancy and COVID-19 and a propensity score analysis on subgroups of patients with B-cell lymphoid disease treated (n = 81) or not (n = 120) with CCP between May 1, 2020 and April 1, 2021. The overall survival of the whole cohort was 65% (95% CI = 56-74.9) and 77.5% (95% CI = 68.5-87.7) for patients with B-cell neoplasm. Prior anti-CD20 monoclonal antibody therapy was associated with better overall survival, whereas age, high blood pressure, and COVID-19 severity were associated with a poor outcome. After an inverse probability of treatment weighting approach, we observed in anti-CD20-exposed patients with B-cell lymphoid disease a decreased mortality of 63% (95% CI = 31-80) in the CCP-treated group compared to the CCP-untreated subgroup, confirmed in the other sensitivity analyses. Convalescent plasma may be beneficial in COVID-19 patients with B-cell neoplasm who are unable to mount a humoral immune response.

Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19.

COVID-19 is characterized by respiratory symptoms of various severities, ranging from mild upper respiratory signs to acute respiratory failure/acute respiratory distress syndrome associated with a high mortality rate. However, the pathophysiology of the disease is largely unknown. Shotgun metagenomics from nasopharyngeal swabs were used to characterize the genomic, metagenomic and transcriptomic features of patients from the first pandemic wave with various forms of COVID-19, including outpatients, patients hospitalized not requiring intensive care, and patients in the intensive care unit, to identify viral and/or host factors associated with the most severe forms of the disease. Neither the genetic characteristics of SARS-CoV-2, nor the detection of bacteria, viruses, fungi or parasites were associated with the severity of pulmonary disease. Severe pneumonia was associated with overexpression of cytokine transcripts activating the CXCR2 pathway, whereas patients with benign disease presented with a T helper "Th1-Th17" profile. The latter profile was associated with female gender and a lower mortality rate. Our findings indicate that the most severe cases of COVID-19 are characterized by the presence of overactive immune cells resulting in neutrophil pulmonary infiltration which, in turn, could enhance the inflammatory response and prolong tissue damage. These findings make CXCR2 antagonists, in particular IL-8 antagonists, promising candidates for the treatment of patients with severe COVID-19.