6 research outputs found

    Sotrovimab to Prevent Severe COVID-19 in High-Risk Patients Infected with Omicron BA.2

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    International audienceBefore the Omicron era, the neutralizing antibody targeting the SARS-CoV2 Spike protein Sotrovimab has been shown to reduce the risk of COVID-19-related hospitalization in patients who are at high risk for progression (1, 2). We recently showed that early administration of Sotrovimab in Omicron-infected patients with very high-risk for progression was associated with a low rate of COVID-19-related hospitalization within one month after treatment administration (3%), and with no death (1). However, the dominance of the Omicron sublineage BA.2 led health agencies to suspend Sotrovimab emergency use authorizations because of its lower neutralizing ability in vitro compared to BA.1 sublineage (3, 4). Clinical efficiency of Sotrovimab to prevent COVID-19 related complications in high-risk patients with mild-to-moderate COVID-19 Omicron BA.2 remains unknown. Our aim was to compare the clinical and virological outcomes of Omicron BA.1 and BA.2-infected patients with mild-to-moderate COVID-19 who received 500 mg of Sotrovimab IV to prevent COVID-19-related complications

    Time to negative PCR conversion amongst high-risk patients with mild-to-moderate Omicron BA.1 and BA.2 COVID-19 treated with sotrovimab or nirmatrelvir

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    International audienceObjectives: Our aim was to compare the clinical and virological outcomes of Omicron BA.1 and BA.2-infected patients who received Sotrovimab or Nirmatrelvir to prevent severe COVID-19.Methods: In the multicentric prospective ANRS 0003S CoCoPrev cohort study, patients at high-risk for progression with mild-to-moderate BA.1 or BA.2 COVID-19 who received Sotrovimab or Nirmatrelvir were included. Proportion of patients with progression to severe COVID-19, time between the start of treatment to negative PCR, SARS-CoV-2 viral decay, and characterization of resistance variants were determined. A multivariable Cox proportional hazard model was used for time to negative PCR and a mixed effect model for the dynamics of viral decay.Results: Among the 255 included patients, of whom 199/255 (80%) received ≥3 vaccine doses, 195/255 (76%) received Sotrovimab and 60/255 (24%) received Nirmatrelvir. At day 28, new COVID-19-related hospitalization occurred in 4/193 (2%, 95%CI 1-5%) Sotrovimab-treated patients, and 0/55 Nirmatrelvir-treated patient (p=0.24). One out of 55 Nirmatrelvir-treated patients died (2%, 95%CI 0-10%). The median time to negative PCR was 11.5 days (95%CI 10.5-13) in Sotrovimab-treated patients vs. 4 days (95% CI 4-9) in Nirmatrelvir-treated patients (p<0.001). Viral decay was faster in patients who received Nirmatrelvir (p<0.001). In multivariable analysis Nirmatrelvir and nasopharyngeal PCR cycle threshold value were independently associated with a faster conversion to negative PCR (HR 2.35, 95%CI 1.56-3.56, p<0.0001, and HR 1.05, 95%CI 1.01-1.08, p=0.01, respectively).Conclusions: Early administration of Nirmatrelvir in high-risk patients, compared to Sotrovimab, was associated with a faster viral clearance. This may participate to decrease transmission and prevent viral resistance

    Time to negative PCR conversion amongst high-risk patients with mild-to-moderate Omicron BA.1 and BA.2 COVID-19 treated with sotrovimab or nirmatrelvir

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    International audienceObjectives: Our aim was to compare the clinical and virological outcomes of Omicron BA.1 and BA.2-infected patients who received Sotrovimab or Nirmatrelvir to prevent severe COVID-19.Methods: In the multicentric prospective ANRS 0003S CoCoPrev cohort study, patients at high-risk for progression with mild-to-moderate BA.1 or BA.2 COVID-19 who received Sotrovimab or Nirmatrelvir were included. Proportion of patients with progression to severe COVID-19, time between the start of treatment to negative PCR, SARS-CoV-2 viral decay, and characterization of resistance variants were determined. A multivariable Cox proportional hazard model was used for time to negative PCR and a mixed effect model for the dynamics of viral decay.Results: Among the 255 included patients, of whom 199/255 (80%) received ≥3 vaccine doses, 195/255 (76%) received Sotrovimab and 60/255 (24%) received Nirmatrelvir. At day 28, new COVID-19-related hospitalization occurred in 4/193 (2%, 95%CI 1-5%) Sotrovimab-treated patients, and 0/55 Nirmatrelvir-treated patient (p=0.24). One out of 55 Nirmatrelvir-treated patients died (2%, 95%CI 0-10%). The median time to negative PCR was 11.5 days (95%CI 10.5-13) in Sotrovimab-treated patients vs. 4 days (95% CI 4-9) in Nirmatrelvir-treated patients (p<0.001). Viral decay was faster in patients who received Nirmatrelvir (p<0.001). In multivariable analysis Nirmatrelvir and nasopharyngeal PCR cycle threshold value were independently associated with a faster conversion to negative PCR (HR 2.35, 95%CI 1.56-3.56, p<0.0001, and HR 1.05, 95%CI 1.01-1.08, p=0.01, respectively).Conclusions: Early administration of Nirmatrelvir in high-risk patients, compared to Sotrovimab, was associated with a faster viral clearance. This may participate to decrease transmission and prevent viral resistance

    Cannabis use as a factor of lower corpulence in hepatitis C-infected patients: results from the ANRS CO22 Hepather cohort

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    International audienceBackground: Patients with chronic hepatitis C virus (HCV) infection are at greater risk of developing metabolic disorders. Obesity is a major risk factor for these disorders, and therefore, managing body weight is crucial. Cannabis use, which is common in these patients, has been associated with lower corpulence in various populations. However, this relationship has not yet been studied in persons with chronic HCV infection.Methods: Using baseline data from the French ANRS CO22 Hepather cohort, we used binary logistic and multinomial logistic regression models to test for an inverse relationship between cannabis use (former/current) and (i) central obesity (i.e., large waist circumference) and (ii) overweight and obesity (i.e., elevated body mass index (BMI)) in patients from the cohort who had chronic HCV infection. We also tested for relationships between cannabis use and both waist circumference and BMI as continuous variables, using linear regression models.Results: Among the 6348 participants in the study population, 55% had central obesity, 13.7% had obesity according to their BMI, and 12.4% were current cannabis users. After multivariable adjustment, current cannabis use was associated with lower risk of central obesity (adjusted odds ratio, aOR [95% confidence interval, CI]: 0.45 [0.37-0.55]), BMI-based obesity (adjusted relative risk ratio (aRRR) [95% CI]: 0.27 [0.19-0.39]), and overweight (aRRR [95% CI]: 0.47 [0.38-0.59]). This was also true for former use, but to a lesser extent. Former and current cannabis use were inversely associated with waist circumference and BMI.Conclusions: We found that former and, to a greater extent, current cannabis use were consistently associated with smaller waist circumference, lower BMI, and lower risks of overweight, obesity, and central obesity in patients with chronic HCV infection. Longitudinal studies are needed to confirm these relationships and to assess the effect of cannabis use on corpulence and liver outcomes after HCV cure.Trial registration: ClinicalTrials.gov identifier: NCT01953458
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