Analysis set for each outcome and definition.

<div><p>Introduction</p><p>Neurologic or immune-mediated conditions have been evaluated as potential adverse events (AEs) in coronavirus disease 2019 (COVID-19) vaccine safety surveillance. To contextualize United States (US) surveillance findings, it is important to quantify...

Полное описание

Сохранить в:
Библиографические подробности
Главный автор: Shelby S. Fisher (22676406) (author)
Другие авторы: Arnstein Lindaas (22676409) (author), Stella G. Muthuri (5395769) (author), Patricia C. Lloyd (18453529) (author), Joann F. Gruber (18453535) (author), Morgan M. Richey (21253213) (author), Hai Lyu (22676412) (author), Angela S. Cheng (22676415) (author), Lisa S. Kowarski (22676418) (author), Mollie M. McKillop (9111996) (author), Christine Bui (21253201) (author), Tainya C. Clarke (12892921) (author), Jeffrey Beers (22676421) (author), Timothy Burrell (12892927) (author), Pablo Freyria Duenas (22676424) (author), Yangping Chen (16549866) (author), Minya Sheng (22676427) (author), Richard A. Forshee (18453553) (author), Steven A. Anderson (11865398) (author), Yoganand Chillarige (18453556) (author), Mary S. Anthony (13922319) (author), Azadeh Shoaibi (11060528) (author), J. Bradley Layton (9756019) (author)
Опубликовано: 2025
Предметы:
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!
_version_ 1849927640745508864
author Shelby S. Fisher (22676406)
author2 Arnstein Lindaas (22676409)
Stella G. Muthuri (5395769)
Patricia C. Lloyd (18453529)
Joann F. Gruber (18453535)
Morgan M. Richey (21253213)
Hai Lyu (22676412)
Angela S. Cheng (22676415)
Lisa S. Kowarski (22676418)
Mollie M. McKillop (9111996)
Christine Bui (21253201)
Tainya C. Clarke (12892921)
Jeffrey Beers (22676421)
Timothy Burrell (12892927)
Pablo Freyria Duenas (22676424)
Yangping Chen (16549866)
Minya Sheng (22676427)
Richard A. Forshee (18453553)
Steven A. Anderson (11865398)
Yoganand Chillarige (18453556)
Mary S. Anthony (13922319)
Azadeh Shoaibi (11060528)
J. Bradley Layton (9756019)
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet Shelby S. Fisher (22676406)
Arnstein Lindaas (22676409)
Stella G. Muthuri (5395769)
Patricia C. Lloyd (18453529)
Joann F. Gruber (18453535)
Morgan M. Richey (21253213)
Hai Lyu (22676412)
Angela S. Cheng (22676415)
Lisa S. Kowarski (22676418)
Mollie M. McKillop (9111996)
Christine Bui (21253201)
Tainya C. Clarke (12892921)
Jeffrey Beers (22676421)
Timothy Burrell (12892927)
Pablo Freyria Duenas (22676424)
Yangping Chen (16549866)
Minya Sheng (22676427)
Richard A. Forshee (18453553)
Steven A. Anderson (11865398)
Yoganand Chillarige (18453556)
Mary S. Anthony (13922319)
Azadeh Shoaibi (11060528)
J. Bradley Layton (9756019)
author_role author
dc.creator.none.fl_str_mv Shelby S. Fisher (22676406)
Arnstein Lindaas (22676409)
Stella G. Muthuri (5395769)
Patricia C. Lloyd (18453529)
Joann F. Gruber (18453535)
Morgan M. Richey (21253213)
Hai Lyu (22676412)
Angela S. Cheng (22676415)
Lisa S. Kowarski (22676418)
Mollie M. McKillop (9111996)
Christine Bui (21253201)
Tainya C. Clarke (12892921)
Jeffrey Beers (22676421)
Timothy Burrell (12892927)
Pablo Freyria Duenas (22676424)
Yangping Chen (16549866)
Minya Sheng (22676427)
Richard A. Forshee (18453553)
Steven A. Anderson (11865398)
Yoganand Chillarige (18453556)
Mary S. Anthony (13922319)
Azadeh Shoaibi (11060528)
J. Bradley Layton (9756019)
dc.date.none.fl_str_mv 2025-11-24T18:40:22Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0333704.t001
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Analysis_set_for_each_outcome_and_definition_/30698083
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Medicine
Neuroscience
Biotechnology
Immunology
Cancer
Mental Health
Infectious Diseases
Environmental Sciences not elsewhere classified
weighted hazard ratios
still consistently elevated
potential adverse events
coronavirus disease 2019
contextualize united states
78 &# 8211
60 &# 8211
45 &# 8211
23 &# 8211
20 &# 8211
18 &# 8211
04 &# 8211
mediated adverse events
vaccine safety surveillance
postexposure reference windows
01 &# 8211
controlled risk interval
mediated aes cannot
aes included guillain
xlink "> neurologic
xlink "> covid
xlink ">
mediated conditions
surveillance findings
risk windows
included adults
01 ).
remaining aes
transverse myelitis
study period
study observed
service data
relative incidences
medicare fee
matched comparators
inverse probability
increased risks
increased risk
generally modest
data sources
consistent evidence
confidence intervals
commercial database
barré syndrome
28 ).
dc.title.none.fl_str_mv Analysis set for each outcome and definition.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <div><p>Introduction</p><p>Neurologic or immune-mediated conditions have been evaluated as potential adverse events (AEs) in coronavirus disease 2019 (COVID-19) vaccine safety surveillance. To contextualize United States (US) surveillance findings, it is important to quantify the association of AEs with COVID-19 diagnoses among US adults before the introduction of COVID-19 vaccines.</p><p>Methods</p><p>Cohort and self-controlled risk interval (SCRI) designs were used in 2 US administrative claims data sources—Merative™ MarketScan<sup>®</sup> Commercial Database (ages 18−64 years) and Medicare fee-for-service data (ages ≥ 65 years). AEs included Guillain-Barré syndrome (GBS), Bell’s palsy, encephalitis/encephalomyelitis, narcolepsy, immune thrombocytopenia (ITP), and transverse myelitis. The cohort (study period, 1 April 2020−10 December 2020) included adults with COVID-19 diagnoses and matched comparators. Inverse probability of treatment-weighted hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated. The SCRI (study period, 1 June 2020−10 December 2020) identified the AEs in risk windows after COVID-19 diagnosis and pre- and postexposure reference windows. Relative incidences (RIs) and 95% CIs were estimated with seasonality-adjusted conditional Poisson regression models accounting for outcome-dependent observation windows.</p><p>Results</p><p>The study observed a consistent association between COVID-19 diagnosis and GBS: MarketScan HR = 9.57 (95% CI, 1.23–74.74), RI = 8.53 (95% CI, 2.45–29.7); Medicare HR = 1.97 (95% CI, 1.04–3.74), RI = 4.63 (95% CI, 1.78–12.01). For ITP, the association was weaker, but still consistently elevated: MarketScan HR = 2.06 (95% CI, 1.20–3.53), RI = 1.74 (95% CI, 1.01–3.00); Medicare HR = 1.36 (95% CI, 1.18–1.57), RI = 1.91 (95% CI, 1.60–2.28). For all remaining AEs, there was not consistent evidence of an association with COVID-19, with estimates that were generally modest, imprecise, or varying by study design.</p><p>Conclusions</p><p>COVID-19 diagnoses were associated with an increased risk of GBS and ITP in both data sources and study designs. Increased risks of other neurologic/immune-mediated AEs cannot be ruled out.</p></div>
eu_rights_str_mv openAccess
id Manara_b168b93cf3d009cb44fed5ed50e5ec89
identifier_str_mv 10.1371/journal.pone.0333704.t001
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30698083
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Analysis set for each outcome and definition.Shelby S. Fisher (22676406)Arnstein Lindaas (22676409)Stella G. Muthuri (5395769)Patricia C. Lloyd (18453529)Joann F. Gruber (18453535)Morgan M. Richey (21253213)Hai Lyu (22676412)Angela S. Cheng (22676415)Lisa S. Kowarski (22676418)Mollie M. McKillop (9111996)Christine Bui (21253201)Tainya C. Clarke (12892921)Jeffrey Beers (22676421)Timothy Burrell (12892927)Pablo Freyria Duenas (22676424)Yangping Chen (16549866)Minya Sheng (22676427)Richard A. Forshee (18453553)Steven A. Anderson (11865398)Yoganand Chillarige (18453556)Mary S. Anthony (13922319)Azadeh Shoaibi (11060528)J. Bradley Layton (9756019)MedicineNeuroscienceBiotechnologyImmunologyCancerMental HealthInfectious DiseasesEnvironmental Sciences not elsewhere classifiedweighted hazard ratiosstill consistently elevatedpotential adverse eventscoronavirus disease 2019contextualize united states78 &# 821160 &# 821145 &# 821123 &# 821120 &# 821118 &# 821104 &# 8211mediated adverse eventsvaccine safety surveillancepostexposure reference windows01 &# 8211controlled risk intervalmediated aes cannotaes included guillainxlink "> neurologicxlink "> covidxlink ">mediated conditionssurveillance findingsrisk windowsincluded adults01 ).remaining aestransverse myelitisstudy periodstudy observedservice datarelative incidencesmedicare feematched comparatorsinverse probabilityincreased risksincreased riskgenerally modestdata sourcesconsistent evidenceconfidence intervalscommercial databasebarré syndrome28 ).<div><p>Introduction</p><p>Neurologic or immune-mediated conditions have been evaluated as potential adverse events (AEs) in coronavirus disease 2019 (COVID-19) vaccine safety surveillance. To contextualize United States (US) surveillance findings, it is important to quantify the association of AEs with COVID-19 diagnoses among US adults before the introduction of COVID-19 vaccines.</p><p>Methods</p><p>Cohort and self-controlled risk interval (SCRI) designs were used in 2 US administrative claims data sources—Merative™ MarketScan<sup>®</sup> Commercial Database (ages 18−64 years) and Medicare fee-for-service data (ages ≥ 65 years). AEs included Guillain-Barré syndrome (GBS), Bell’s palsy, encephalitis/encephalomyelitis, narcolepsy, immune thrombocytopenia (ITP), and transverse myelitis. The cohort (study period, 1 April 2020−10 December 2020) included adults with COVID-19 diagnoses and matched comparators. Inverse probability of treatment-weighted hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated. The SCRI (study period, 1 June 2020−10 December 2020) identified the AEs in risk windows after COVID-19 diagnosis and pre- and postexposure reference windows. Relative incidences (RIs) and 95% CIs were estimated with seasonality-adjusted conditional Poisson regression models accounting for outcome-dependent observation windows.</p><p>Results</p><p>The study observed a consistent association between COVID-19 diagnosis and GBS: MarketScan HR = 9.57 (95% CI, 1.23–74.74), RI = 8.53 (95% CI, 2.45–29.7); Medicare HR = 1.97 (95% CI, 1.04–3.74), RI = 4.63 (95% CI, 1.78–12.01). For ITP, the association was weaker, but still consistently elevated: MarketScan HR = 2.06 (95% CI, 1.20–3.53), RI = 1.74 (95% CI, 1.01–3.00); Medicare HR = 1.36 (95% CI, 1.18–1.57), RI = 1.91 (95% CI, 1.60–2.28). For all remaining AEs, there was not consistent evidence of an association with COVID-19, with estimates that were generally modest, imprecise, or varying by study design.</p><p>Conclusions</p><p>COVID-19 diagnoses were associated with an increased risk of GBS and ITP in both data sources and study designs. Increased risks of other neurologic/immune-mediated AEs cannot be ruled out.</p></div>2025-11-24T18:40:22ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0333704.t001https://figshare.com/articles/dataset/Analysis_set_for_each_outcome_and_definition_/30698083CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306980832025-11-24T18:40:22Z
spellingShingle Analysis set for each outcome and definition.
Shelby S. Fisher (22676406)
Medicine
Neuroscience
Biotechnology
Immunology
Cancer
Mental Health
Infectious Diseases
Environmental Sciences not elsewhere classified
weighted hazard ratios
still consistently elevated
potential adverse events
coronavirus disease 2019
contextualize united states
78 &# 8211
60 &# 8211
45 &# 8211
23 &# 8211
20 &# 8211
18 &# 8211
04 &# 8211
mediated adverse events
vaccine safety surveillance
postexposure reference windows
01 &# 8211
controlled risk interval
mediated aes cannot
aes included guillain
xlink "> neurologic
xlink "> covid
xlink ">
mediated conditions
surveillance findings
risk windows
included adults
01 ).
remaining aes
transverse myelitis
study period
study observed
service data
relative incidences
medicare fee
matched comparators
inverse probability
increased risks
increased risk
generally modest
data sources
consistent evidence
confidence intervals
commercial database
barré syndrome
28 ).
status_str publishedVersion
title Analysis set for each outcome and definition.
title_full Analysis set for each outcome and definition.
title_fullStr Analysis set for each outcome and definition.
title_full_unstemmed Analysis set for each outcome and definition.
title_short Analysis set for each outcome and definition.
title_sort Analysis set for each outcome and definition.
topic Medicine
Neuroscience
Biotechnology
Immunology
Cancer
Mental Health
Infectious Diseases
Environmental Sciences not elsewhere classified
weighted hazard ratios
still consistently elevated
potential adverse events
coronavirus disease 2019
contextualize united states
78 &# 8211
60 &# 8211
45 &# 8211
23 &# 8211
20 &# 8211
18 &# 8211
04 &# 8211
mediated adverse events
vaccine safety surveillance
postexposure reference windows
01 &# 8211
controlled risk interval
mediated aes cannot
aes included guillain
xlink "> neurologic
xlink "> covid
xlink ">
mediated conditions
surveillance findings
risk windows
included adults
01 ).
remaining aes
transverse myelitis
study period
study observed
service data
relative incidences
medicare fee
matched comparators
inverse probability
increased risks
increased risk
generally modest
data sources
consistent evidence
confidence intervals
commercial database
barré syndrome
28 ).