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Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index

PloS one, 2020-11, Vol.15 (11), p.e0241825 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0241825 ;PMID: 33175863

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Title:
Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
Author: King, Jr, Joseph T ; Yoon, James S ; Rentsch, Christopher T ; Tate, Janet P ; Park, Lesley S ; Kidwai-Khan, Farah ; Skanderson, Melissa ; Hauser, Ronald G ; Jacobson, Daniel A ; Erdos, Joseph ; Cho, Kelly ; Ramoni, Rachel ; Gagnon, David R ; Justice, Amy C
Adrish, Muhammad
Subjects: 60 APPLIED LIFE SCIENCES ; Adult ; Age ; Age Factors ; Aged ; Aged, 80 and over ; Area Under Curve ; Betacoronavirus - isolation & purification ; Biology and Life Sciences ; Calibration ; Comorbidity ; Coronavirus Infections - mortality ; Coronavirus Infections - pathology ; Coronavirus Infections - virology ; Coronaviruses ; COVID-19 ; Databases, Factual ; death rates ; Demographics ; Demography ; Diagnosis ; Disease control ; Ethnicity ; Fatalities ; Female ; Health risks ; Humans ; Infections ; inpatients ; Laboratories ; Logistic Models ; Male ; medical risk factors ; Medicine and Health Sciences ; Middle Aged ; Minority & ethnic groups ; Mortality ; Myocardial infarction ; Pandemics ; Patient outcomes ; peripheral vascular disease ; Pneumonia, Viral - mortality ; Pneumonia, Viral - pathology ; Pneumonia, Viral - virology ; Race ; regional geography ; Regression models ; Risk ; Risk Factors ; ROC Curve ; SARS CoV 2 ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Sex ; Subgroups ; United States ; Vascular diseases ; Veterans Health ; Viral diseases ; virus testing ; Young Adult
Is Part Of: PloS one, 2020-11, Vol.15 (11), p.e0241825
Description: Available COVID-19 mortality indices are limited to acute inpatient data. Using nationwide medical administrative data available prior to SARS-CoV-2 infection from the US Veterans Health Administration (VA), we developed the VA COVID-19 (VACO) 30-day mortality index and validated the index in two independent, prospective samples. We reviewed SARS-CoV-2 testing results within the VA between February 8 and August 18, 2020. The sample was split into a development cohort (test positive between March 2 and April 15, 2020), an early validation cohort (test positive between April 16 and May 18, 2020), and a late validation cohort (test positive between May 19 and July 19, 2020). Our logistic regression model in the development cohort considered demographics (age, sex, race/ethnicity), and pre-existing medical conditions and the Charlson Comorbidity Index (CCI) derived from ICD-10 diagnosis codes. Weights were fixed to create the VACO Index that was then validated by comparing area under receiver operating characteristic curves (AUC) in the early and late validation cohorts and among important validation cohort subgroups defined by sex, race/ethnicity, and geographic region. We also evaluated calibration curves and the range of predictions generated within age categories. 13,323 individuals tested positive for SARS-CoV-2 (median age: 63 years; 91% male; 42% non-Hispanic Black). We observed 480/3,681 (13%) deaths in development, 253/2,151 (12%) deaths in the early validation cohort, and 403/7,491 (5%) deaths in the late validation cohort. Age, multimorbidity described with CCI, and a history of myocardial infarction or peripheral vascular disease were independently associated with mortality-no other individual comorbid diagnosis provided additional information. The VACO Index discriminated mortality in development (AUC = 0.79, 95% CI: 0.77-0.81), and in early (AUC = 0.81 95% CI: 0.78-0.83) and late (AUC = 0.84, 95% CI: 0.78-0.86) validation. The VACO Index allows personalized estimates of 30-day mortality after COVID-19 infection. For example, among those aged 60-64 years, overall mortality was estimated at 9% (95% CI: 6-11%). The Index further discriminated risk in this age stratum from 4% (95% CI: 3-7%) to 21% (95% CI: 12-31%), depending on sex and comorbid disease. Prior to infection, demographics and comorbid conditions can discriminate COVID-19 mortality risk overall and within age strata. The VACO Index reproducibly identified individuals at substantial risk of COVID-19 mortality who might consider continuing social distancing, despite relaxed state and local guidelines.
Publisher: United States: Public Library of Science
Language: English
Identifier: ISSN: 1932-6203
EISSN: 1932-6203
DOI: 10.1371/journal.pone.0241825
PMID: 33175863
Source: Public Library of Science (PLoS) Journals Open Access
Geneva Foundation Free Medical Journals at publisher websites
MEDLINE
PubMed Central
Coronavirus Research Database
ProQuest Central
DOAJ Directory of Open Access Journals

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Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index

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