Cargando…

447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records

BACKGROUND: A major challenge to identifying effective treatments for COVID-19 has been the conflicting results offered by small, often underpowered clinical trials. The World Health Organization (WHO) Ordinal Scale (OS) has been used to measure clinical improvement among clinical trial participants...

Descripción completa

Detalles Bibliográficos
Autores principales: Khodaverdi, Maryam, Price, Bradley S, Santangelo, Susan L, Anzalone, Alfred (Jerrod), Kimble, Wesley, Porterfield, J Zachary, Vest, Michael T, Hodder, Sally L, Hendricks, Brian, Rosen, Clifford james, Bunnell, H TImothy, Moradi, Hamidreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643916/
http://dx.doi.org/10.1093/ofid/ofab466.646
_version_ 1784609964567822336
author Khodaverdi, Maryam
Price, Bradley S
Santangelo, Susan L
Anzalone, Alfred (Jerrod)
Kimble, Wesley
Porterfield, J Zachary
Vest, Michael T
Hodder, Sally L
Hendricks, Brian
Rosen, Clifford james
Bunnell, H TImothy
Moradi, Hamidreza
author_facet Khodaverdi, Maryam
Price, Bradley S
Santangelo, Susan L
Anzalone, Alfred (Jerrod)
Kimble, Wesley
Porterfield, J Zachary
Vest, Michael T
Hodder, Sally L
Hendricks, Brian
Rosen, Clifford james
Bunnell, H TImothy
Moradi, Hamidreza
author_sort Khodaverdi, Maryam
collection PubMed
description BACKGROUND: A major challenge to identifying effective treatments for COVID-19 has been the conflicting results offered by small, often underpowered clinical trials. The World Health Organization (WHO) Ordinal Scale (OS) has been used to measure clinical improvement among clinical trial participants and has the benefit of measuring effect across the spectrum of clinical illness. We modified the WHO OS to enable assessment of COVID-19 patient outcomes using electronic health record (EHR) data. METHODS: Employing the National COVID Cohort Collaborative (N3C) database of EHR data from 50 sites in the United States, we assessed patient outcomes, April 1,2020 to March 31, 2021, among those with a SARS-CoV-2 diagnosis, using the following modification of the WHO OS: 1=Outpatient, 3=Hospitalized, 5=Required Oxygen (any), 7=Mechanical Ventilation, 9=Organ Support (pressors; ECMO), 11=Death. OS is defined over 4 weeks beginning at first diagnosis and recalculated each week using the patient’s maximum OS value in the corresponding 7-day period. Modified OS distributions were compared across time using a Pearson Chi-Squared test. RESULTS: The study sample included 1,446,831 patients, 54.7% women, 14.7% Black, 14.6% Hispanic/Latinx. Pearson Chi-Sq P< 0.0001 was obtained comparing the distribution of 2(nd) Quarter 2020 OS with the distribution of later time points for Week 4. Table 1. OS at week 1 and 4 by quarter [Image: see text] The study sample included 1,446,831 patients, 54.7% women, 14.7% Black, 14.6% Hispanic/Latinx. Pearson Chi-Sq P< 0.0001 was obtained comparing the distribution of 2nd Quarter 2020 OS with the distribution of later time points for Week 4. CONCLUSION: All Week 4 OS distributions significantly improved from the initial period (April-June 2020) compared with subsequent months, suggesting improved management. Further work is needed to determine which elements of care are driving the improved outcomes. Time series analyses must be included when assessing impact of therapeutic modalities across the COVID pandemic time frame. DISCLOSURES: Sally L. Hodder, M.D., Gilead (Advisor or Review Panel member)Merck (Grant/Research Support, Advisor or Review Panel member)Viiv Healthcare (Grant/Research Support, Advisor or Review Panel member)
format Online
Article
Text
id pubmed-8643916
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-86439162021-12-06 447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records Khodaverdi, Maryam Price, Bradley S Santangelo, Susan L Anzalone, Alfred (Jerrod) Kimble, Wesley Porterfield, J Zachary Vest, Michael T Hodder, Sally L Hendricks, Brian Rosen, Clifford james Bunnell, H TImothy Moradi, Hamidreza Open Forum Infect Dis Poster Abstracts BACKGROUND: A major challenge to identifying effective treatments for COVID-19 has been the conflicting results offered by small, often underpowered clinical trials. The World Health Organization (WHO) Ordinal Scale (OS) has been used to measure clinical improvement among clinical trial participants and has the benefit of measuring effect across the spectrum of clinical illness. We modified the WHO OS to enable assessment of COVID-19 patient outcomes using electronic health record (EHR) data. METHODS: Employing the National COVID Cohort Collaborative (N3C) database of EHR data from 50 sites in the United States, we assessed patient outcomes, April 1,2020 to March 31, 2021, among those with a SARS-CoV-2 diagnosis, using the following modification of the WHO OS: 1=Outpatient, 3=Hospitalized, 5=Required Oxygen (any), 7=Mechanical Ventilation, 9=Organ Support (pressors; ECMO), 11=Death. OS is defined over 4 weeks beginning at first diagnosis and recalculated each week using the patient’s maximum OS value in the corresponding 7-day period. Modified OS distributions were compared across time using a Pearson Chi-Squared test. RESULTS: The study sample included 1,446,831 patients, 54.7% women, 14.7% Black, 14.6% Hispanic/Latinx. Pearson Chi-Sq P< 0.0001 was obtained comparing the distribution of 2(nd) Quarter 2020 OS with the distribution of later time points for Week 4. Table 1. OS at week 1 and 4 by quarter [Image: see text] The study sample included 1,446,831 patients, 54.7% women, 14.7% Black, 14.6% Hispanic/Latinx. Pearson Chi-Sq P< 0.0001 was obtained comparing the distribution of 2nd Quarter 2020 OS with the distribution of later time points for Week 4. CONCLUSION: All Week 4 OS distributions significantly improved from the initial period (April-June 2020) compared with subsequent months, suggesting improved management. Further work is needed to determine which elements of care are driving the improved outcomes. Time series analyses must be included when assessing impact of therapeutic modalities across the COVID pandemic time frame. DISCLOSURES: Sally L. Hodder, M.D., Gilead (Advisor or Review Panel member)Merck (Grant/Research Support, Advisor or Review Panel member)Viiv Healthcare (Grant/Research Support, Advisor or Review Panel member) Oxford University Press 2021-12-04 /pmc/articles/PMC8643916/ http://dx.doi.org/10.1093/ofid/ofab466.646 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Khodaverdi, Maryam
Price, Bradley S
Santangelo, Susan L
Anzalone, Alfred (Jerrod)
Kimble, Wesley
Porterfield, J Zachary
Vest, Michael T
Hodder, Sally L
Hendricks, Brian
Rosen, Clifford james
Bunnell, H TImothy
Moradi, Hamidreza
447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records
title 447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records
title_full 447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records
title_fullStr 447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records
title_full_unstemmed 447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records
title_short 447. An Ordinal Scale Assessing SARS-CoV-2 Infected Patient Outcomes Using Electronic Health Records
title_sort 447. an ordinal scale assessing sars-cov-2 infected patient outcomes using electronic health records
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643916/
http://dx.doi.org/10.1093/ofid/ofab466.646
work_keys_str_mv AT khodaverdimaryam 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT pricebradleys 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT santangelosusanl 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT anzalonealfredjerrod 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT kimblewesley 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT porterfieldjzachary 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT vestmichaelt 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT hoddersallyl 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT hendricksbrian 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT rosencliffordjames 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT bunnellhtimothy 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords
AT moradihamidreza 447anordinalscaleassessingsarscov2infectedpatientoutcomesusingelectronichealthrecords