15 research outputs found

    Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

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    SummaryBackground Azithromycin has been proposed as a treatment for COVID-19 on the basis of its immunomodulatoryactions. We aimed to evaluate the safety and efficacy of azithromycin in patients admitted to hospital with COVID-19.Methods In this randomised, controlled, open-label, adaptive platform trial (Randomised Evaluation of COVID-19Therapy [RECOVERY]), several possible treatments were compared with usual care in patients admitted to hospitalwith COVID-19 in the UK. The trial is underway at 176 hospitals in the UK. Eligible and consenting patients wererandomly allocated to either usual standard of care alone or usual standard of care plus azithromycin 500 mg once perday by mouth or intravenously for 10 days or until discharge (or allocation to one of the other RECOVERY treatmentgroups). Patients were assigned via web-based simple (unstratified) randomisation with allocation concealment andwere twice as likely to be randomly assigned to usual care than to any of the active treatment groups. Participants andlocal study staff were not masked to the allocated treatment, but all others involved in the trial were masked to theoutcome data during the trial. The primary outcome was 28-day all-cause mortality, assessed in the intention-to-treatpopulation. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936.Findings Between April 7 and Nov 27, 2020, of 16 442 patients enrolled in the RECOVERY trial, 9433 (57%) wereeligible and 7763 were included in the assessment of azithromycin. The mean age of these study participants was65·3 years (SD 15·7) and approximately a third were women (2944 [38%] of 7763). 2582 patients were randomlyallocated to receive azithromycin and 5181 patients were randomly allocated to usual care alone. Overall,561 (22%) patients allocated to azithromycin and 1162 (22%) patients allocated to usual care died within 28 days(rate ratio 0·97, 95% CI 0·87–1·07; p=0·50). No significant difference was seen in duration of hospital stay (median10 days [IQR 5 to >28] vs 11 days [5 to >28]) or the proportion of patients discharged from hospital alive within 28 days(rate ratio 1·04, 95% CI 0·98–1·10; p=0·19). Among those not on invasive mechanical ventilation at baseline, nosignificant difference was seen in the proportion meeting the composite endpoint of invasive mechanical ventilationor death (risk ratio 0·95, 95% CI 0·87–1·03; p=0·24).Interpretation In patients admitted to hospital with COVID-19, azithromycin did not improve survival or otherprespecified clinical outcomes. Azithromycin use in patients admitted to hospital with COVID-19 should be restrictedto patients in whom there is a clear antimicrobial indication

    Estimating prevalence of accumulated HIV-1 drug resistance in a cohort of patients on antiretroviral therapy

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    OBJECTIVES Estimating the prevalence of accumulated HIV drug resistance in patients receiving antiretroviral therapy (ART) is difficult due to lack of resistance testing at all occasions of virological failure and in patients with undetectable viral load. A method to estimate this for 6498 EuroSIDA patients who were under follow-up on ART at 1 July 2008 was therefore developed by imputing data on patients with no prior resistance test results, based on the probability of detecting resistance in tested patients with similar profiles. METHODS Using all resistance test results available, predicted intermediate/high-level resistance to specific drug classes [nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs)] was derived using the Stanford algorithm v5.1.2. Logistic regression models were then employed to estimate predicted probability of resistance to each drug class for given values of current viral load, history of virological failure and previous virological suppression. Based on these predicted probabilities and patients' covariate profiles, estimates of prevalence in 5355 patients with no prior test results were obtained. Overall prevalence of resistance was estimated by pooling these data with those observed in the remaining 1143 tested patients. RESULTS Prevalence of NRTI, NNRTI and PI resistance was estimated as 43% (95% confidence interval: 39%-46%), 15% (13%-18%) and 25% (22%-28%), respectively. CONCLUSIONS This method provides estimates for the proportion of treated patients in a cohort who harbour resistance on a given date, which are less likely to be affected by selection bias due to missing resistance data and will allow us to estimate prevalence of resistance to different drug classes at specific timepoints in HIV-infected populations on ART

    The clinical benefits of antiretroviral therapy in severely immunocompromised HIV-1-infected patients with and without complete viral suppression

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    BACKGROUND The aim of this study was to determine whether there is a protective effect of combination antiretroviral therapy (cART) on the development of clinical events in patients with ongoing severe immunosuppression. METHODS A total of 3,780 patients from the EuroSIDA study under follow-up after 2001 with a current CD4(+) T-cell count ≤200 cells/mm(3) were stratified into five groups: group 1, viral load (VL)<50 copies/ml on cART; group 2, VL 50-99,999 copies/ml on cART; group 3, VL 50-99,999 copies/ml off cART; group 4, VL≥100,000 copies/ml on cART; and group 5, VL≥100,000 copies/ml off cART. Poisson regression was used to identify the risk of (non-fatal or fatal) AIDS- and non-AIDS-related events considered together (AIDS/non-AIDS) or separately as AIDS or non-AIDS events within each group. RESULTS There were 428 AIDS/non-AIDS events during 3,780 person-years of follow-up. Compared with group 1, those in group 2 had a similar incidence of AIDS/non-AIDS events (incidence rate ratio [IRR] 1.04; 95% CI 0.79-1.36). Groups 3, 4 and 5 had significantly higher incidence rates of AIDS/non-AIDS events compared with group 1; incidence rates increased from group 3 (IRR 1.78; 95% CI 1.25-2.55) to group 5 (IRR 2.36; 95% CI 1.66-3.40), demonstrating the increased incidence of AIDS/non-AIDS events associated with increasing viraemia. After adjustment, the use of cART was associated with a 40% reduction in the incidence of AIDS/non-AIDS events in patients with VL 50-99,999 copies/ml (IRR 0.59; 95% CI 0.41-0.85) and in those with a VL>100,000 copies/ml (IRR 0.66; 95% CI 0.44-1.00). Similar relationships were seen for non-AIDS events and AIDS events when considered separately. CONCLUSIONS In patients with ongoing severe immunosuppression, cART was associated with significant clinical benefits in patients with suboptimal virological control or virological failure

    Transmitted drug resistant HIV-1 and association with virologic and CD4 cell count response to combination antiretroviral therapy in the EuroSIDA Study.

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    OBJECTIVES: To investigate prevalence of transmitted drug-resistant human immunodeficiency virus (TDR) and factors associated with TDR and to compare virological and CD4 count response to combination antiretroviral therapy. METHODS: In this study, 525 mostly chronically infected EuroSIDA patients were included who had genotypic resistance tests performed on plasma samples collected while antiretroviral therapy naive. TDR was defined as at least one resistance mutation from a list proposed for genotypic TDR surveillance. Multivariable logistic regression was used to analyze factors associated with detection of TDR, with virological (viral load&lt;500 copies/mL) and CD4 count response (&gt;or=50% increase) to combination antiretroviral therapy at months 6-12. RESULTS: The overall prevalence of TDR was 11.4%, which was stable over 1996-2004. There were no significant differences in virological suppression (those resistant to at least one drug prescribed versus susceptible), adjusted odds ratio: 0.68 (95% confidence interval: 0.27 to 1.71; P=0.408) or CD4 count response, adjusted odds ratio: 1.65 (95% confidence interval: 0.73 to 3.73; P=0.231). CONCLUSIONS: Prevalence of TDR in antiretroviral-naive patients was found to be in line with other European studies. No significant differences were found in virological and CD4 count response after initiation of first-line combination antiretroviral therapy between resistant and susceptible patients, possibly due to the small number of patients with resistance and consequently low power

    Olaparib tablet formulation: effect of food on the pharmacokinetics after oral dosing in patients with advanced solid tumours

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    The oral PARP inhibitor olaparib has shown efficacy in patients with BRCA-mutated cancer. This Phase I, open-label, three-part study (Parts A-C) in patients with advanced solid tumours evaluated the effect of food on the pharmacokinetics (PK) of olaparib when administered in tablet formulation. PK data were obtained in Part A using a two-treatment period crossover design; single-dose olaparib 300 mg (two 150 mg tablets) was administered in two prandial states: fasted and fed. In Part B, patients received olaparib tablets (300 mg bid) for 5 days under fasting conditions; in Part C, patients were allowed continued access to olaparib. Safety was assessed throughout, with data reported for Parts A and B. A total of 60 and 56 patients were evaluable for safety and PK analyses, respectively; 57 patients entered Part B. Rate of olaparib absorption was slower in the presence of food (t (max) delayed by 2.5 h), resulting in a statistically significant similar to 21 % decrease in peak plasma exposure (C (max)) [ratio of geometric means (90 % CI), 0.79 (0.72, 0.86)] but only a marginal increase in olaparib absorption (AUC(0-a)) [ratio of geometric means (90 % CI), 1.08 (1.01, 1.16)]. The point estimate and 90 % CI for the AUC(0-a) treatment ratio were within pre-defined bioequivalence limits (0.80-1.25). Adverse event data were consistent with the known safety profile of olaparib. Results of this study showed that a high-fat meal decreases the rate of absorption and peak exposure to olaparib 300 mg tablets, although in the absence of an effect on the extent of olaparib absorption

    Tuberculosis among HIV-positive patients across Europe:changes over time and risk factors

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    To describe temporal changes in the incidence rate of tuberculosis (TB) (pulmonary or extrapulmonary) among HIV-positive patients in western Europe and risk factors of TB across Europe. Poisson regression models were used to determine temporal changes in incidence rate of TB among 11,952 patients from western Europe (1994-2010), and to assess risk factors for TB among 12,673 patients from across Europe with follow-up after 2001. Two hundred and seventy-seven TB events occurred during 84,221 person-years of follow-up (PYFU) in western Europe. The incidence rate declined from 1.91 [95% confidence interval (CI) 1.51-2.37)] in 1994-1995 to 0.12 (0.07-0.21)/100 PYFU in 2002-2003, and remained stable thereafter. After January 2001, 159 TB events were diagnosed; 65 cases in western Europe and 94 cases in eastern Europe; resulting in incidence rates of 0.12 (0.09-0.14) and 0.65 (0.52-0.79)/100 PYFU, respectively. In multivariable analysis, incidence rate of TB was approximately four-fold higher in eastern Europe compared with western Europe [incidence rate ratio (IRR) 4.25 (2.78-6.49), P < 0.001]. There were no significant temporal changes after 2001 and risk factors did not differ significantly between eastern Europe and western Europe. Lower CD4 cell counts, higher HIV-RNA levels, male sex, intravenous drug usage and African origin were all associated with higher risk of TB. Incidence rates of TB in western Europe remained at a very low and stable level since 2001. After 2001, patients in eastern Europe were at substantially higher risk of TB than in western Europe. TB is of great concern in HIV-positive patients, especially in areas with high TB prevalence, high levels of immigration from TB-endemic regions, and with suboptimal access to combination antiretroviral therap
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