Evidence map›Paper›PMID 35490502›Full record

ArticleJournal of critical care2022

Assessing mortality differences across acute respiratory failure management strategies in Covid-19.

Jamuna K Krishnan, Mangala Rajan, Benjamin R Baer, Katherine L Hoffman, Mark N Alshak, Kerri I Aronson, Parag Goyal, Chiomah Ezeomah, Shanna S Hill, Fernando J Martinez and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of critical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Jamuna K KrishnanDivison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America. Electronic address: jkk9002@med.cornell.edu.
Mangala RajanDivision of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Benjamin R BaerDepartment of Statistics and Data Science, Cornell University, Ithaca, New York, United States of America.
Katherine L HoffmanDivision of Biostatistics and Epidemiology, Weill Cornell Medicine, NY, NY, United States of America.
Mark N AlshakDivision of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Kerri I AronsonDivison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Parag GoyalDivision of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America; Division of Cardiology, Weill Cornell Department of Medicine, NY, NY, United States of America.
Chiomah EzeomahDivision of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Shanna S HillDepartment of Anesthesiology, Weill Cornell Medicine, NY, NY, United States of America.
Fernando J MartinezDivison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Meredith L TuretzDivison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Martin T WellsDepartment of Statistics and Data Science, Cornell University, Ithaca, New York, United States of America; Department of Population Health Sciences, Weill Cornell Medicine, NY, NY, United States of America.
Monika M SaffordDivision of General Internal Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Edward J SchenckDivison of Pulmonary and Critical Care Medicine, Weill Cornell Department of Medicine, NY, NY, United States of America.
Cornell University · US

Funding

Multidisciplinary Approach Training in Respiratory ResearchT32HL134629 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Robert J Kaner, Heather Winona Stout Delgado · 2018 to 2026
$5.2M
Necroinflammatory Cell Death in SepsisK23HL151876 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHENCK, EDWARD JAMES · 2021 to 2025
$975k
NHLBI NIH HHS K23 HL151876NHLBI NIH HHS T32 HL134629
6 · The paper itself

Abstract

purposeProlonged observation could avoid invasive mechanical ventilation (IMV) and related risks in patients with Covid-19 acute respiratory failure (ARF) compared to initiating early IMV. We aimed to determine the association between ARF management strategy and in-hospital mortality. MATERIALS AND

methodsPatients in the Weill Cornell Covid-19 registry who developed ARF between March 5 - March 25, 2020 were exposed to an early IMV strategy; between March 26 - April 1, 2020 to an intermediate strategy; and after April 2 to prolonged observation. Cox proportional hazards regression was used to model in-hospital mortality and test an interaction between ARF management strategy and modified sequential organ failure assessment (mSOFA).

resultsAmong 632 patients with ARF, 24% of patients in the early IMV strategy died versus 28% in prolonged observation. At lower mSOFA, prolonged observation was associated with lower mortality compared to early IMV (at mSOFA = 0, HR 0.16 [95% CI 0.04-0.57]). Mortality risk increased in the prolonged observation strategy group with each point increase in mSOFA score (HR 1.29 [95% CI 1.10-1.51], p = 0.002).

conclusionIn Covid-19 ARF, prolonged observation was associated with a mortality benefit at lower mSOFA scores, and increased mortality at higher mSOFA scores compared to early IMV.

Indexed as

COVID-19Respiratory Distress SyndromeRespiratory InsufficiencyHospital MortalityHumansOrgan Dysfunction ScoresRespiration, ArtificialAcute respiratory failureCovid-19Mechanical ventilation

Identifiers

PMID35490502
PMCPMC9049881
OpenAlexW4225104239

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.