Evidence map›Paper›PMID 36284548›Full record

ArticleCritical care explorations2022

Severe Acute Respiratory Infection-Preparedness: Protocol for a Multicenter Prospective Cohort Study of Viral Respiratory Infections.

Radu Postelnicu, Avantika Srivastava, Pavan K Bhatraju, Mark M Wurfelc, George L Anesi, Martin Gonzalez, Adair Andrews, Karen Lutrick, Vishakha K Kumar, Timothy M Uyeki and 12 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Critical care explorations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 9 institutions in 1 country.

Radu PostelnicuDivision of Pulmonary, Critical Care, and Sleep Medicine, NYU Grossman School of Medicine, NYU Langone Health, New York, NY.
Avantika SrivastavaDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Pavan K BhatrajuDivision of Pulmonary, Critical Care and Sleep Medicine, School of Medicine, Seattle, WA.
Mark M WurfelcDivision of Pulmonary, Critical Care and Sleep Medicine, School of Medicine, Seattle, WA.
George L AnesiDivision of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Martin GonzalezSociety of Critical Care Medicine, Mount Prospect, IL.
Adair AndrewsSociety of Critical Care Medicine, Mount Prospect, IL.
Karen LutrickDepartment of Family and Community Medicine, College of Medicine, University of Arizona, Tucson, AZ.
Vishakha K KumarSociety of Critical Care Medicine, Mount Prospect, IL.
Timothy M UyekiInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA.
Perren J CobbDepartments of Surgery and Anesthesiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA.
Leopoldo N SegalDivision of Pulmonary, Critical Care, and Sleep Medicine, NYU Grossman School of Medicine, NYU Langone Health, New York, NY.
David Brett-MajorDepartment of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE.
Janice M LieblerDivision of Pulmonary, Critical Care and Sleep Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Christopher J KratochvilGlobal Center for Health Security, University of Nebraska Medical Center, Omaha, NE.
Vikramjit MukherjeeDivision of Pulmonary, Critical Care, and Sleep Medicine, NYU Grossman School of Medicine, NYU Langone Health, New York, NY.
M Jana BroadhurstGlobal Center for Health Security, University of Nebraska Medical Center, Omaha, NE.
Richard LeeDivision of Pulmonary Diseases and Critical Care Medicine, University of California, Irvine, CA.
David WylesDivision of Infectious Diseases, Denver Health Medical Center, Denver, CO.
Jonathan E SevranskyDivision of Pulmonary, Allergy, Critical Care and Sleep, School of Medicine, Emory University, Atlanta, GA.
Laura EvansDivision of Pulmonary, Critical Care and Sleep Medicine, School of Medicine, Seattle, WA.
Douglas LandsittelDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN.
Society of Critical Care Medicine · USUniversity of Nebraska Medical Center · USCenters for Disease Control and Prevention · USDenver Health Medical Center · USEmory Healthcare · USIndiana University Bloomington · USUniversity of Arizona · USUniversity of Pittsburgh · USUniversity of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Local microbiota signatures of pro-tumor immunity and checkpoint inhibition susceptibility in lung cancerR37CA244775 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Leopoldo Nicolas Segal · 2020 to 2026
$4.7M
The Assessment of Acute Kidney Injury Sub-phenotypes in the Intensive Care UnitK23DK116967 · NIDDK · UNIVERSITY OF WASHINGTON · PI BHATRAJU, PAVAN KUMAR · 2019 to 2023
$938k
NCATS NIH HHS UL1 TR001855NCI NIH HHS R37 CA244775NIDDK NIH HHS K23 DK116967
6 · The paper itself

Abstract

Respiratory virus infections cause significant morbidity and mortality ranging from mild uncomplicated acute respiratory illness to severe complications, such as acute respiratory distress syndrome, multiple organ failure, and death during epidemics and pandemics. We present a protocol to systematically study patients with severe acute respiratory infection (SARI), including severe acute respiratory syndrome coronavirus 2, due to respiratory viral pathogens to evaluate the natural history, prognostic biomarkers, and characteristics, including hospital stress, associated with clinical outcomes and severity.

designProspective cohort study.

settingMulticenter cohort of patients admitted to an acute care ward or ICU from at least 15 hospitals representing diverse geographic regions across the United States. PATIENTS: Patients with SARI caused by infection with respiratory viruses that can cause outbreaks, epidemics, and pandemics.

interventionsNone. MEASUREMENTS AND MAIN

resultsMeasurements include patient demographics, signs, symptoms, and medications; microbiology, imaging, and associated tests; mechanical ventilation, hospital procedures, and other interventions; and clinical outcomes and hospital stress, with specimens collected on days 0, 3, and 7-14 after enrollment and at discharge. The primary outcome measure is the number of consecutive days alive and free of mechanical ventilation (VFD) in the first 30 days after hospital admission. Important secondary outcomes include organ failure-free days before acute kidney injury, shock, hepatic failure, disseminated intravascular coagulation, 28-day mortality, adaptive immunity, as well as immunologic and microbiologic outcomes.

conclusionsSARI-Preparedness is a multicenter study under the collaboration of the Society of Critical Care Medicine Discovery, Resilience Intelligence Network, and National Emerging Special Pathogen Training and Education Center, which seeks to improve understanding of prognostic factors associated with worse outcomes and increased resource utilization. This can lead to interventions to mitigate the clinical impact of respiratory virus infections associated with SARI.

Indexed as

clinical research networksCOVID-19hospitalized patientsobservational studysevere acute respiratory syndrome coronavirus 2

Identifiers

PMID36284548
PMCPMC9586923
OpenAlexW4307501021

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.