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Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma.
Park, Hyung; Tarpey, Thaddeus; Liu, Mengling; Goldfeld, Keith; Wu, Yinxiang; Wu, Danni; Li, Yi; Zhang, Jinchun; Ganguly, Dipyaman; Ray, Yogiraj; Paul, Shekhar Ranjan; Bhattacharya, Prasun; Belov, Artur; Huang, Yin; Villa, Carlos; Forshee, Richard; Verdun, Nicole C; Yoon, Hyun Ah; Agarwal, Anup; Simonovich, Ventura Alejandro; Scibona, Paula; Burgos Pratx, Leandro; Belloso, Waldo; Avendaño-Solá, Cristina; Bar, Katharine J; Duarte, Rafael F; Hsue, Priscilla Y; Luetkemeyer, Anne F; Meyfroidt, Geert; Nicola, André M; Mukherjee, Aparna; Ortigoza, Mila B; Pirofski, Liise-Anne; Rijnders, Bart J A; Troxel, Andrea; Antman, Elliott M; Petkova, Eva.
  • Park H; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York.
  • Tarpey T; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York.
  • Liu M; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York.
  • Goldfeld K; Department of Environmental Medicine, New York University Grossman School of Medicine, New York.
  • Wu Y; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York.
  • Wu D; Department of Biostatistics, School of Public Health, University of Washington, Seattle.
  • Li Y; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York.
  • Zhang J; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York.
  • Ganguly D; Biostatistics and Research Decision Sciences, Merck Research Labortory, Merck & Co Inc, Rahway, New Jersey.
  • Ray Y; Translational Research Unit of Excellence, Council Of Scientific And Industrial Research-Indian Institute of Chemical Biology, Kolkata, India.
  • Paul SR; Infectious Disease, Beleghata General Hospital, Kolkata, India.
  • Bhattacharya P; School of Tropical Medicine, Kolkata, India.
  • Belov A; Infectious Disease, Beleghata General Hospital, Kolkata, India.
  • Huang Y; Medical College Hospital, Kolkata, India.
  • Villa C; Center for Biologics Evaluation and Research, Office of Biostatistics and Epidemiology, Analytics and Benefit-Risk Assessment Team, US Food and Drug Administration, Silver Spring, Maryland.
  • Forshee R; Center for Biologics Evaluation and Research, Office of Biostatistics and Epidemiology, Analytics and Benefit-Risk Assessment Team, US Food and Drug Administration, Silver Spring, Maryland.
  • Verdun NC; Center for Biologics Evaluation and Research, Office of Biostatistics and Epidemiology, Analytics and Benefit-Risk Assessment Team, US Food and Drug Administration, Silver Spring, Maryland.
  • Yoon HA; Center for Biologics Evaluation and Research, Office of Biostatistics and Epidemiology, Analytics and Benefit-Risk Assessment Team, US Food and Drug Administration, Silver Spring, Maryland.
  • Agarwal A; Office of Blood Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland.
  • Simonovich VA; Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.
  • Scibona P; Indian Council of Medical Research, New Delhi, India.
  • Burgos Pratx L; Clinical Pharmacology Section, Department of Internal Medicine and Department of Research, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Belloso W; Clinical Pharmacology Section, Internal Medicine Service, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Avendaño-Solá C; Transfusional Medicine Service, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Bar KJ; Department of Research, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
  • Duarte RF; Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
  • Hsue PY; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia.
  • Luetkemeyer AF; Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
  • Meyfroidt G; Zuckerberg San Francisco General, University of California, San Francisco.
  • Nicola AM; Zuckerberg San Francisco General, University of California, San Francisco.
  • Mukherjee A; Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium.
  • Ortigoza MB; Hospital Universitário de Brasília, University of Brasília, Brasília, Brazil.
  • Pirofski LA; Indian Council of Medical Research, New Delhi, India.
  • Rijnders BJA; Departments of Medicine and Microbiology, New York University Grossman School of Medicine, New York.
  • Troxel A; Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.
  • Antman EM; Department of Internal Medicine, Section of Infectious Diseases, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Petkova E; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York.
JAMA Netw Open ; 5(1): e2147375, 2022 01 04.
Article in English | MEDLINE | ID: covidwho-1648976
ABSTRACT
Importance Identifying which patients with COVID-19 are likely to benefit from COVID-19 convalescent plasma (CCP) treatment may have a large public health impact.

Objective:

To develop an index for predicting the expected relative treatment benefit from CCP compared with treatment without CCP for patients hospitalized for COVID-19 using patients' baseline characteristics. Design, Setting, and

Participants:

This prognostic study used data from the COMPILE study, ie, a meta-analysis of pooled individual patient data from 8 randomized clinical trials (RCTs) evaluating CCP vs control in adults hospitalized for COVID-19 who were not receiving mechanical ventilation at randomization. A combination of baseline characteristics, termed the treatment benefit index (TBI), was developed based on 2287 patients in COMPILE using a proportional odds model, with baseline characteristics selected via cross-validation. The TBI was externally validated on 4 external data sets the Expanded Access Program (1896 participants), a study conducted under Emergency Use Authorization (210 participants), and 2 RCTs (with 80 and 309 participants). Exposure Receipt of CCP. Main Outcomes and

Measures:

World Health Organization (WHO) 11-point ordinal COVID-19 clinical status scale and 2 derivatives of it (ie, WHO score of 7-10, indicating mechanical ventilation to death, and WHO score of 10, indicating death) at day 14 and day 28 after randomization. Day 14 WHO 11-point ordinal scale was used as the primary outcome to develop the TBI.

Results:

A total of 2287 patients were included in the derivation cohort, with a mean (SD) age of 60.3 (15.2) years and 815 (35.6%) women. The TBI provided a continuous gradation of benefit, and, for clinical utility, it was operationalized into groups of expected large clinical benefit (B1; 629 participants in the derivation cohort [27.5%]), moderate benefit (B2; 953 [41.7%]), and potential harm or no benefit (B3; 705 [30.8%]). Patients with preexisting conditions (diabetes, cardiovascular and pulmonary diseases), with blood type A or AB, and at an early COVID-19 stage (low baseline WHO scores) were expected to benefit most, while those without preexisting conditions and at more advanced stages of COVID-19 could potentially be harmed. In the derivation cohort, odds ratios for worse outcome, where smaller odds ratios indicate larger benefit from CCP, were 0.69 (95% credible interval [CrI], 0.48-1.06) for B1, 0.82 (95% CrI, 0.61-1.11) for B2, and 1.58 (95% CrI, 1.14-2.17) for B3. Testing on 4 external datasets supported the validation of the derived TBIs. Conclusions and Relevance The findings of this study suggest that the CCP TBI is a simple tool that can quantify the relative benefit from CCP treatment for an individual patient hospitalized with COVID-19 that can be used to guide treatment recommendations. The TBI precision medicine approach could be especially helpful in a pandemic.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Plasma / Patient Selection / Therapeutic Index / COVID-19 / Hospitalization Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Plasma / Patient Selection / Therapeutic Index / COVID-19 / Hospitalization Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article