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  1. Article ; Online: A Risk Profile Using Simple Hematologic Parameters to Assess Benefits From Baricitinib in Patients Hospitalized With COVID-19: A Post Hoc Analysis of the Adaptive COVID-19 Treatment Trial-2.

    Paules, Catharine I / Wang, Jing / Tomashek, Kay M / Bonnett, Tyler / Singh, Kanal / Marconi, Vincent C / Davey, Richard T / Lye, David C / Dodd, Lori E / Yang, Otto O / Benson, Constance A / Deye, Gregory A / Doernberg, Sarah B / Hynes, Noreen A / Grossberg, Robert / Wolfe, Cameron R / Nayak, Seema U / Short, William R / Voell, Jocelyn /
    Potter, Gail E / Rapaka, Rekha R

    Annals of internal medicine

    2024  Volume 177, Issue 3, Page(s) 343–352

    Abstract: Background: The ACTT risk profile, which was developed from ACTT-1 (Adaptive COVID-19 Treatment Trial-1), demonstrated that hospitalized patients with COVID-19 in the high-risk quartile (characterized by low absolute lymphocyte count [ALC], high ... ...

    Abstract Background: The ACTT risk profile, which was developed from ACTT-1 (Adaptive COVID-19 Treatment Trial-1), demonstrated that hospitalized patients with COVID-19 in the high-risk quartile (characterized by low absolute lymphocyte count [ALC], high absolute neutrophil count [ANC], and low platelet count at baseline) benefited most from treatment with the antiviral remdesivir. It is unknown which patient characteristics are associated with benefit from treatment with the immunomodulator baricitinib.
    Objective: To apply the ACTT risk profile to the ACTT-2 cohort to investigate potential baricitinib-related treatment effects by risk quartile.
    Design: Post hoc analysis of ACTT-2, a randomized, double-blind, placebo-controlled trial. (ClinicalTrials.gov: NCT04401579).
    Setting: Sixty-seven trial sites in 8 countries.
    Participants: Adults hospitalized with COVID-19 (
    Intervention: Baricitinib+remdesivir versus placebo+remdesivir.
    Measurements: Mortality, progression to invasive mechanical ventilation (IMV) or death, and recovery, all within 28 days; ALC, ANC, and platelet count trajectories.
    Results: In the high-risk quartile, baricitinib+remdesivir was associated with reduced risk for death (hazard ratio [HR], 0.38 [95% CI, 0.16 to 0.86];
    Limitation: Secondary analysis of data collected before circulation of current SARS-CoV-2 variants.
    Conclusion: The ACTT risk profile identifies a subgroup of hospitalized patients who benefit most from baricitinib treatment and captures a patient phenotype of treatment response to an immunomodulator and an antiviral. Changes in ALC and ANC trajectory suggest a mechanism whereby an immunomodulator limits severe COVID-19.
    Primary funding source: National Institute of Allergy and Infectious Diseases.
    MeSH term(s) Adult ; Humans ; Antiviral Agents/adverse effects ; Azetidines ; COVID-19 ; COVID-19 Drug Treatment ; Immunologic Factors ; Purines ; Pyrazoles ; SARS-CoV-2 ; Sulfonamides ; Treatment Outcome ; Double-Blind Method
    Chemical Substances Antiviral Agents ; Azetidines ; baricitinib (ISP4442I3Y) ; Immunologic Factors ; Purines ; Pyrazoles ; Sulfonamides
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 336-0
    ISSN 1539-3704 ; 0003-4819
    ISSN (online) 1539-3704
    ISSN 0003-4819
    DOI 10.7326/M23-2593
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  2. Article ; Online: Counting Monkeypox Lesions in Patient Photographs: Limits of Agreement of Manual Counts and Artificial Intelligence.

    McNeil, Andrew J / House, David W / Mbala-Kingebeni, Placide / Mbaya, Olivier Tshiani / Dodd, Lori E / Cowen, Edward W / Nussenblatt, Véronique / Bonnett, Tyler / Chen, Ziche / Saknite, Inga / Dawant, Benoit M / Tkaczyk, Eric R

    The Journal of investigative dermatology

    2022  Volume 143, Issue 2, Page(s) 347–350.e4

    MeSH term(s) Humans ; Artificial Intelligence ; Mpox (monkeypox)
    Language English
    Publishing date 2022-09-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80136-7
    ISSN 1523-1747 ; 0022-202X
    ISSN (online) 1523-1747
    ISSN 0022-202X
    DOI 10.1016/j.jid.2022.08.044
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  3. Article ; Online: Deconstructing the Treatment Effect of Remdesivir in the Adaptive Coronavirus Disease 2019 (COVID-19) Treatment Trial-1: Implications for Critical Care Resource Utilization.

    Fintzi, Jonathan / Bonnett, Tyler / Sweeney, Daniel A / Huprikar, Nikhil A / Ganesan, Anuradha / Frank, Maria G / McLellan, Susan L F / Dodd, Lori E / Tebas, Pablo / Mehta, Aneesh K

    Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    2021  Volume 74, Issue 12, Page(s) 2209–2217

    Abstract: Background: The Adaptive Coronavirus Disease 2019 (COVID-19) Treatment Trial-1 (ACTT-1) found that remdesivir therapy hastened recovery in patients hospitalized with COVID-19, but the pathway for this improvement was not explored. We investigated how ... ...

    Abstract Background: The Adaptive Coronavirus Disease 2019 (COVID-19) Treatment Trial-1 (ACTT-1) found that remdesivir therapy hastened recovery in patients hospitalized with COVID-19, but the pathway for this improvement was not explored. We investigated how the dynamics of clinical progression changed along 4 pathways: recovery, improvement in respiratory therapy requirement, deterioration in respiratory therapy requirement, and death.
    Methods: We analyzed trajectories of daily ordinal severity scores reflecting oxygen requirements of 1051 patients hospitalized with COVID-19 who participated in ACTT-1. We developed competing risks models that estimate the effect of remdesivir therapy on cumulative incidence of clinical improvement and deterioration, and multistate models that utilize the entirety of each patient's clinical course to characterize the effect of remdesivir on progression along the 4 pathways above.
    Results: Based on a competing risks analysis, remdesivir reduced clinical deterioration (hazard ratio [HR], 0.73; 95% confidence interval [CI]: .59-.91) and increased clinical improvement (HR, 1.22; 95% CI: 1.08, 1.39) relative to baseline. Our multistate models indicate that remdesivir inhibits worsening to ordinal scores of greater clinical severity among patients on room air or low-flow oxygen (HR, 0.74; 95% CI: .57-.94) and among patients receiving mechanical ventilation or high-flow oxygen/noninvasive positive-pressure ventilation (HR, 0.73; 95% CI: .53-1.00) at baseline. We also find that remdesivir reduces expected intensive care respiratory therapy utilization among patients not mechanically ventilated at baseline.
    Conclusions: Remdesivir speeds time to recovery by preventing worsening to clinical states that would extend the course of hospitalization and increase intensive respiratory support, thereby reducing the overall demand for hospital care.
    MeSH term(s) Adenosine Monophosphate/analogs & derivatives ; Alanine/analogs & derivatives ; Antiviral Agents ; Critical Care ; Humans ; Oxygen ; SARS-CoV-2 ; COVID-19 Drug Treatment
    Chemical Substances Antiviral Agents ; remdesivir (3QKI37EEHE) ; Adenosine Monophosphate (415SHH325A) ; Alanine (OF5P57N2ZX) ; Oxygen (S88TT14065)
    Language English
    Publishing date 2021-08-18
    Publishing country United States
    Document type Clinical Trial ; Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ZDB-ID 1099781-7
    ISSN 1537-6591 ; 1058-4838
    ISSN (online) 1537-6591
    ISSN 1058-4838
    DOI 10.1093/cid/ciab712
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: How do I… facilitate a rapid response to a public health emergency requiring plasma collection with a public-private partnership?

    Miller, Maureen J / Skrzekut, Adam / Kracalik, Ian / Jones, Jefferson M / Lofy, Kathryn H / Konkle, Barbara A / Haley, N Rebecca / Duvenhage, Michael / Bonnett, Tyler / Holbrook, Michael / Higgs, Elizabeth / Basavaraju, Sridhar V / Paranjape, Suman

    Transfusion

    2021  Volume 61, Issue 10, Page(s) 2814–2824

    Abstract: In March 2020, there were no treatment options for COVID-19. Passive immune therapy including anti-SARS-CoV-2 hyperimmune globulin (hIVIG) was a logical candidate for COVID-19 therapeutic trials, given past success treating emerging pathogens with ... ...

    Abstract In March 2020, there were no treatment options for COVID-19. Passive immune therapy including anti-SARS-CoV-2 hyperimmune globulin (hIVIG) was a logical candidate for COVID-19 therapeutic trials, given past success treating emerging pathogens with endogenous neutralizing antibodies. We established a plasma collection protocol for persons recovered from COVID-19. To speed recruitment in the first U.S. hotspot, Seattle, Washington, federal and state public health agencies collaborated with Bloodworks Northwest to collect convalescent plasma (CP) for manufacturing hIVIG. During March-December 2020, we identified and recruited prospective CP donors via letters to persons recovered from COVID-19 with laboratory-confirmed SARS-CoV-2 infection. Prospective donors were pre-screened and administered a medical history survey. Anti-SARS-CoV-2 neutralizing antibody (NAb) titers were classified as qualifying (≥1:80) or non-qualifying (<1:80) for enrollment based on a live virus neutralization assay. Generalized estimating equations were used to identify characteristics of donors associated with qualifying versus nonqualifying NAb titers. Overall, 21,359 letters resulted in 3207 inquiries, 2159 prescreenings with laboratory-confirmed SARS-CoV-2 infection, and 573 donors (27% of all pre-screenings with confirmed infection) who provided a screening plasma donation. Of 573 donors screened, 254 (44%) provided plasma with qualifying NAb titers, resulting in 1284 units for hIVIG manufacture. In a multivariable model, after adjusting for other factors, time (60 days) from COVID-19 symptom onset to screening was associated with lower odds of qualifying NAb (adjusted odds ratio = 0.67, 95% CI: 0.48-0.94). The collaboration facilitated a rapid response to develop and provide hIVIG for clinical trials and CP for transfusion. Only 1 in 12 donor inquiries resulted in a qualifying plasma donation. Challenges included recruitment and the relatively low percentage of persons with high NAb titers and limited screening capacity. This resource-intensive collaboration may not be scalable but informs preparedness and response strategies for plasma collection in future epidemics. Operational readiness plans with templates for screening, consent, and data collection forms are recommended.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Blood Specimen Collection ; COVID-19/therapy ; Emergencies ; Female ; Humans ; Immunization, Passive ; Male ; Middle Aged ; Public Health ; Public-Private Sector Partnerships ; SARS-CoV-2 ; Young Adult
    Language English
    Publishing date 2021-09-12
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 208417-x
    ISSN 1537-2995 ; 0041-1132
    ISSN (online) 1537-2995
    ISSN 0041-1132
    DOI 10.1111/trf.16630
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  5. Article ; Online: Concordance of Clinical Alzheimer Diagnosis and Neuropathological Features at Autopsy.

    Gauthreaux, Kathryn / Bonnett, Tyler A / Besser, Lilah M / Brenowitz, Willa D / Teylan, Merilee / Mock, Charles / Chen, Yen-Chi / Chan, Kwun C G / Keene, C Dirk / Zhou, Xiao-Hua / Kukull, Walter A

    Journal of neuropathology and experimental neurology

    2020  Volume 79, Issue 5, Page(s) 465–473

    Abstract: It remains unclear what clinical features inform the accuracy of a clinical diagnosis of Alzheimer disease (AD). Data were obtained from the National Alzheimer's Coordinating Center to compare clinical and neuropathologic features among participants who ... ...

    Abstract It remains unclear what clinical features inform the accuracy of a clinical diagnosis of Alzheimer disease (AD). Data were obtained from the National Alzheimer's Coordinating Center to compare clinical and neuropathologic features among participants who did or did not have Alzheimer disease neuropathologic changes (ADNC) at autopsy. Participants (1854) had a clinical Alzheimer dementia diagnosis and ADNC at autopsy (Confirmed-AD), 204 participants had an AD diagnosis and no ADNC (AD-Mimics), and 253 participants had no AD diagnosis and ADNC (Unidentified-AD). Compared to Confirmed-AD participants, AD-Mimics had less severe cognitive impairment, while Unidentified-AD participants displayed more parkinsonian signs, depression, and behavioral problems. This study highlights the importance of developing a complete panel of biomarkers as a tool to inform clinical diagnoses, as clinical phenotypes that are typically associated with diseases other than AD may result in inaccurate diagnoses.
    MeSH term(s) Aged ; Aged, 80 and over ; Alzheimer Disease/diagnosis ; Alzheimer Disease/pathology ; Autopsy ; Brain/pathology ; Female ; Humans ; Male ; Neuropathology
    Language English
    Publishing date 2020-04-22
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 3088-0
    ISSN 1554-6578 ; 0022-3069
    ISSN (online) 1554-6578
    ISSN 0022-3069
    DOI 10.1093/jnen/nlaa014
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  6. Article ; Online: Estimating associations between antidepressant use and incident mild cognitive impairment in older adults with depression.

    Han, Fang / Bonnett, Tyler / Brenowitz, Willa D / Teylan, Merilee A / Besser, Lilah M / Chen, Yen-Chi / Chan, Gary / Cao, Ke-Gang / Gao, Ying / Zhou, Xiao-Hua

    PloS one

    2020  Volume 15, Issue 1, Page(s) e0227924

    Abstract: Introduction: Previous studies have provided equivocal evidence of antidepressant use on subsequent cognitive impairment; this could be due to inconsistent modeling approaches. Our goals are methodological and clinical. We evaluate the impact of ... ...

    Abstract Introduction: Previous studies have provided equivocal evidence of antidepressant use on subsequent cognitive impairment; this could be due to inconsistent modeling approaches. Our goals are methodological and clinical. We evaluate the impact of statistical modeling approaches on the associations between antidepressant use and risk of Mild Cognitive Impairment (MCI) in older adults with depression.
    Methods: 716 participants were enrolled. Our primary analysis employed a time-dependent Cox proportional hazards model. We also implemented two fixed-covariate proportional hazards models-one based on having ever used antidepressants during follow-up, and the other restricted to baseline use only.
    Results: Treating antidepressant use as a time-varying covariate, we found no significant association with incident MCI (HR = 0.92, 95% CI: 0.70, 1.20). In contrast, when antidepressant use was treated as a fixed covariate, we observed a significant association between having ever used antidepressants and lower risk of MCI (HR = 0.40, 95% CI: 0.28, 0.56). However, in the baseline-use only model, the association was non-significant (HR = 0.84, 95% CI: 0.60, 1.17).
    Discussion: Our results were dependent upon statistical models and suggest that antidepressant use should be modeled as a time-varying covariate. Using a robust time-dependent analysis, antidepressant use was not significantly associated with incident MCI among cognitively normal persons with depression.
    MeSH term(s) Aged ; Aged, 80 and over ; Antidepressive Agents/adverse effects ; Cognition/drug effects ; Cognition/physiology ; Cognitive Dysfunction/complications ; Cognitive Dysfunction/drug therapy ; Cognitive Dysfunction/epidemiology ; Cognitive Dysfunction/physiopathology ; Cohort Studies ; Depression/complications ; Depression/drug therapy ; Depression/epidemiology ; Depression/physiopathology ; Female ; Follow-Up Studies ; Humans ; Male ; Models, Statistical ; Proportional Hazards Models ; Risk Factors
    Chemical Substances Antidepressive Agents
    Language English
    Publishing date 2020-01-17
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0227924
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  7. Article ; Online: Endpoints for randomized controlled clinical trials for COVID-19 treatments.

    Dodd, Lori E / Follmann, Dean / Wang, Jing / Koenig, Franz / Korn, Lisa L / Schoergenhofer, Christian / Proschan, Michael / Hunsberger, Sally / Bonnett, Tyler / Makowski, Mat / Belhadi, Drifa / Wang, Yeming / Cao, Bin / Mentre, France / Jaki, Thomas

    Clinical trials (London, England)

    2020  Volume 17, Issue 5, Page(s) 472–482

    Abstract: Background: Endpoint choice for randomized controlled trials of treatments for novel coronavirus-induced disease (COVID-19) is complex. Trials must start rapidly to identify treatments that can be used as part of the outbreak response, in the midst of ... ...

    Abstract Background: Endpoint choice for randomized controlled trials of treatments for novel coronavirus-induced disease (COVID-19) is complex. Trials must start rapidly to identify treatments that can be used as part of the outbreak response, in the midst of considerable uncertainty and limited information. COVID-19 presentation is heterogeneous, ranging from mild disease that improves within days to critical disease that can last weeks to over a month and can end in death. While improvement in mortality would provide unquestionable evidence about the clinical significance of a treatment, sample sizes for a study evaluating mortality are large and may be impractical, particularly given a multitude of putative therapies to evaluate. Furthermore, patient states in between "cure" and "death" represent meaningful distinctions. Clinical severity scores have been proposed as an alternative. However, the appropriate summary measure for severity scores has been the subject of debate, particularly given the variable time course of COVID-19. Outcomes measured at fixed time points, such as a comparison of severity scores between treatment and control at day 14, may risk missing the time of clinical benefit. An endpoint such as time to improvement (or recovery) avoids the timing problem. However, some have argued that power losses will result from reducing the ordinal scale to a binary state of "recovered" versus "not recovered."
    Methods: We evaluate statistical power for possible trial endpoints for COVID-19 treatment trials using simulation models and data from two recent COVID-19 treatment trials.
    Results: Power for fixed time-point methods depends heavily on the time selected for evaluation. Time-to-event approaches have reasonable statistical power, even when compared with a fixed time-point method evaluated at the optimal time.
    Discussion: Time-to-event analysis methods have advantages in the COVID-19 setting, unless the optimal time for evaluating treatment effect is known in advance. Even when the optimal time is known, a time-to-event approach may increase power for interim analyses.
    MeSH term(s) Antiviral Agents/therapeutic use ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/drug therapy ; Coronavirus Infections/epidemiology ; Humans ; Pandemics ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/epidemiology ; Randomized Controlled Trials as Topic/methods ; SARS-CoV-2
    Chemical Substances Antiviral Agents
    Keywords covid19
    Language English
    Publishing date 2020-07-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2138796-5
    ISSN 1740-7753 ; 1740-7745
    ISSN (online) 1740-7753
    ISSN 1740-7745
    DOI 10.1177/1740774520939938
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  8. Article: Unraveling the Treatment Effect of Baricitinib on Clinical Progression and Resource Utilization in Hospitalized COVID-19 Patients: Secondary Analysis of the Adaptive COVID-19 Treatment Randomized Trial-2.

    Fintzi, Jonathan / Bonnett, Tyler / Tebas, Pablo / Marconi, Vincent C / Levine, Corri B / El Sahly, Hana M / McLellan, Susan L F / Benson, Constance A / Rostad, Christina A / Ganesan, Anuradha / Huprikar, Nikhil / Frank, Maria G / Mularski, Richard A / Atmar, Robert L / Park, Pauline K / Short, William R / Beigel, John H / Mehta, Aneesh K / Sweeney, Daniel A

    Open forum infectious diseases

    2022  Volume 9, Issue 7, Page(s) ofac219

    Abstract: Background: The Adaptive COVID Treatment Trial-2 (ACTT-2) found that baricitinib in combination with remdesivir therapy (BCT) sped recovery in hospitalized coronavirus disease 2019 (COVID-19) patients vs remdesivir monotherapy (RMT). We examined how BCT ...

    Abstract Background: The Adaptive COVID Treatment Trial-2 (ACTT-2) found that baricitinib in combination with remdesivir therapy (BCT) sped recovery in hospitalized coronavirus disease 2019 (COVID-19) patients vs remdesivir monotherapy (RMT). We examined how BCT affected progression throughout hospitalization and utilization of intensive respiratory therapies.
    Methods: We characterized the clinical trajectories of 891 ACTT-2 participants requiring supplemental oxygen or higher levels of respiratory support at enrollment. We estimated the effect of BCT on cumulative incidence of clinical improvement and deterioration using competing risks models. We developed multistate models to estimate the effect of BCT on clinical improvement and deterioration and on utilization of respiratory therapies.
    Results: BCT resulted in more linear improvement and lower incidence of clinical deterioration compared with RMT (hazard ratio [HR], 0.74; 95% CI, 0.58 to 0.95). The benefit was pronounced among participants enrolled on high-flow oxygen or noninvasive positive-pressure ventilation. In this group, BCT sped clinical improvement (HR, 1.21; 95% CI, 0.99 to 1.51) while slowing clinical deterioration (HR, 0.71; 95% CI, 0.48 to 1.02), which reduced the expected days in ordinal score (OS) 6 per 100 patients by 74 days (95% CI, -8 to 154 days) and the expected days in OS 7 per 100 patients by 161 days (95% CI, 46 to 291 days) compared with RMT. BCT did not benefit participants who were mechanically ventilated at enrollment.
    Conclusions: Compared with RMT, BCT reduces the clinical burden and utilization of intensive respiratory therapies for patients requiring low-flow oxygen or noninvasive positive-pressure ventilation compared with RMT and may thereby improve care for this patient population.
    Language English
    Publishing date 2022-04-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2757767-3
    ISSN 2328-8957
    ISSN 2328-8957
    DOI 10.1093/ofid/ofac219
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  9. Article ; Online: Effects of remdesivir in patients hospitalised with COVID-19: a systematic review and individual patient data meta-analysis of randomised controlled trials.

    Amstutz, Alain / Speich, Benjamin / Mentré, France / Rueegg, Corina Silvia / Belhadi, Drifa / Assoumou, Lambert / Burdet, Charles / Murthy, Srinivas / Dodd, Lori Elizabeth / Wang, Yeming / Tikkinen, Kari A O / Ader, Florence / Hites, Maya / Bouscambert, Maude / Trabaud, Mary Anne / Fralick, Mike / Lee, Todd C / Pinto, Ruxandra / Barratt-Due, Andreas /
    Lund-Johansen, Fridtjof / Müller, Fredrik / Nevalainen, Olli P O / Cao, Bin / Bonnett, Tyler / Griessbach, Alexandra / Taji Heravi, Ala / Schönenberger, Christof / Janiaud, Perrine / Werlen, Laura / Aghlmandi, Soheila / Schandelmaier, Stefan / Yazdanpanah, Yazdan / Costagliola, Dominique / Olsen, Inge Christoffer / Briel, Matthias

    The Lancet. Respiratory medicine

    2023  Volume 11, Issue 5, Page(s) 453–464

    Abstract: Background: Interpretation of the evidence from randomised controlled trials (RCTs) of remdesivir in patients treated in hospital for COVID-19 is conflicting. We aimed to assess the benefits and harms of remdesivir compared with placebo or usual care in ...

    Abstract Background: Interpretation of the evidence from randomised controlled trials (RCTs) of remdesivir in patients treated in hospital for COVID-19 is conflicting. We aimed to assess the benefits and harms of remdesivir compared with placebo or usual care in these patients, and whether treatment effects differed between prespecified patient subgroups.
    Methods: For this systematic review and meta-analysis, we searched PubMed, Embase, the Cochrane COVID-19 trial registry, ClinicalTrials.gov, the International Clinical Trials Registry Platform, and preprint servers from Jan 1, 2020, until April 11, 2022, for RCTs of remdesivir in adult patients hospitalised with COVID-19, and contacted the authors of eligible trials to request individual patient data. The primary outcome was all-cause mortality at day 28 after randomisation. We used multivariable hierarchical regression-adjusting for respiratory support, age, and enrollment period-to investigate effect modifiers. This study was registered with PROSPERO, CRD42021257134.
    Findings: Our search identified 857 records, yielding nine RCTs eligible for inclusion. Of these nine eligible RCTs, individual data were provided for eight, covering 10 480 patients hospitalised with COVID-19 (99% of such patients included in such RCTs worldwide) recruited between Feb 6, 2020, and April 1, 2021. Within 28 days of randomisation, 662 (12·5%) of 5317 patients assigned to remdesivir and 706 (14·1%) of 5005 patients assigned to no remdesivir died (adjusted odds ratio [aOR] 0·88, 95% CI 0·78-1·00, p=0·045). We found evidence for a credible subgroup effect according to respiratory support at baseline (p
    Interpretation: This individual patient data meta-analysis showed that remdesivir reduced mortality in patients hospitalised with COVID-19 who required no or conventional oxygen support, but was underpowered to evaluate patients who were ventilated when receiving remdesivir. The effect size of remdesivir in patients with more respiratory support or acquired immunity and the cost-effectiveness of remdesivir remain to be further elucidated.
    Funding: EU-RESPONSE.
    MeSH term(s) Adult ; Humans ; COVID-19 ; COVID-19 Drug Treatment
    Language English
    Publishing date 2023-02-21
    Publishing country England
    Document type Systematic Review ; Meta-Analysis ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2686754-0
    ISSN 2213-2619 ; 2213-2600
    ISSN (online) 2213-2619
    ISSN 2213-2600
    DOI 10.1016/S2213-2600(22)00528-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Endpoints for randomized controlled clinical trials for COVID-19 treatments

    Dodd, Lori E / Follmann, Dean / Wang, Jing / Koenig, Franz / Korn, Lisa L / Schoergenhofer, Christian / Proschan, Michael / Hunsberger, Sally / Bonnett, Tyler / Makowski, Mat / Belhadi, Drifa / Wang, Yeming / Cao, Bin / Mentre, France / Jaki, Thomas

    Clin Trials

    Abstract: BACKGROUND: Endpoint choice for randomized controlled trials of treatments for novel coronavirus-induced disease (COVID-19) is complex. Trials must start rapidly to identify treatments that can be used as part of the outbreak response, in the midst of ... ...

    Abstract BACKGROUND: Endpoint choice for randomized controlled trials of treatments for novel coronavirus-induced disease (COVID-19) is complex. Trials must start rapidly to identify treatments that can be used as part of the outbreak response, in the midst of considerable uncertainty and limited information. COVID-19 presentation is heterogeneous, ranging from mild disease that improves within days to critical disease that can last weeks to over a month and can end in death. While improvement in mortality would provide unquestionable evidence about the clinical significance of a treatment, sample sizes for a study evaluating mortality are large and may be impractical, particularly given a multitude of putative therapies to evaluate. Furthermore, patient states in between "cure" and "death" represent meaningful distinctions. Clinical severity scores have been proposed as an alternative. However, the appropriate summary measure for severity scores has been the subject of debate, particularly given the variable time course of COVID-19. Outcomes measured at fixed time points, such as a comparison of severity scores between treatment and control at day 14, may risk missing the time of clinical benefit. An endpoint such as time to improvement (or recovery) avoids the timing problem. However, some have argued that power losses will result from reducing the ordinal scale to a binary state of "recovered" versus "not recovered." METHODS: We evaluate statistical power for possible trial endpoints for COVID-19 treatment trials using simulation models and data from two recent COVID-19 treatment trials. RESULTS: Power for fixed time-point methods depends heavily on the time selected for evaluation. Time-to-event approaches have reasonable statistical power, even when compared with a fixed time-point method evaluated at the optimal time. DISCUSSION: Time-to-event analysis methods have advantages in the COVID-19 setting, unless the optimal time for evaluating treatment effect is known in advance. Even when the optimal time is known, a time-to-event approach may increase power for interim analyses.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #647480
    Database COVID19

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