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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

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 p...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790670/
https://www.ncbi.nlm.nih.gov/pubmed/35076698
http://dx.doi.org/10.1001/jamanetworkopen.2021.47375
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author 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
author_facet 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
author_sort Park, Hyung
collection PubMed
description 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.
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spelling pubmed-87906702022-02-07 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 JAMA Netw Open Original Investigation 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. American Medical Association 2022-01-25 /pmc/articles/PMC8790670/ /pubmed/35076698 http://dx.doi.org/10.1001/jamanetworkopen.2021.47375 Text en Copyright 2022 Park H et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
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
Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma
title Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma
title_full Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma
title_fullStr Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma
title_full_unstemmed Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma
title_short Development and Validation of a Treatment Benefit Index to Identify Hospitalized Patients With COVID-19 Who May Benefit From Convalescent Plasma
title_sort development and validation of a treatment benefit index to identify hospitalized patients with covid-19 who may benefit from convalescent plasma
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790670/
https://www.ncbi.nlm.nih.gov/pubmed/35076698
http://dx.doi.org/10.1001/jamanetworkopen.2021.47375
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