Evidence map›Paper›PMID 35274051›Full record

ArticleJournal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures)2022

The Predictive Potential of Elevated Serum Inflammatory Markers in Determining the Need for Intubation in CoVID-19 Patients.

Samuel Windham, Kellen Hirsch, Ryan Peterson, David Douin, Lakshmi Chauhan, Lauren Heery, Connor Fling, Nemanja Vukovic, Fernando Holguin, Shanta Zimmer and 1 more

Abstract read
In one paragraph

Article in Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Samuel WindhamUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Kellen HirschUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Ryan PetersonUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
David DouinUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Lakshmi ChauhanUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Lauren HeeryUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Connor FlingUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Nemanja VukovicUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Fernando HolguinUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Shanta ZimmerUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.
Kristine ErlandsonUniversity of Colorado Anschutz Medical Campus, Denver, CO, USA.

Funding

Predictors of Recovery and the App-Facilitated Tele-Rehabilitation (AFTER) Program for COVID SurvivorsR01AG054366 · NIA · UNIVERSITY OF COLORADO DENVER · PI ERLANDSON, KRISTINE MACE, STEVENS-LAPSLEY, JENNIFER E. · 2016 to 2020
$3.4M
Anesthesiology Mentored Research TrainingT32GM135169 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Susan L Ingram, Vesna Jevtovic-Todorovic · 2021 to 2026
$1.0M
NIA NIH HHS R01 AG054366NIGMS NIH HHS T32 GM135169
6 · The paper itself

Abstract

Introduction: The predictive potential of demographics, clinical characteristics, and inflammatory markers at admission to determine future intubation needs of hospitalised CoVID-19 patients is unknown. The study aimed to determine the predictive potential of elevated serum inflammatory markers in determining the need for intubation in CoVID-19 Patients. Methods: In a retrospective cohort study of hospitalised SARS-CoV2 positive patients, single and multivariable regression analyses were used to determine covariate effects on intubation odds, and a minimax concave penalty regularised logistic regression was used to build a predictive model. A second prospective independent cohort tested the model. Results: Systemic inflammatory markers obtained at admission were higher in patients that required subsequent intubation, and adjusted odds of intubation increased for every standard deviation above the mean for c-reactive protein (CRP) OR:2.8 (95% CI 1.8-4.5, p<0.001) and lactate dehydrogenase OR:2.1 (95% CI 1.33.3, p=0.002). A predictive model incorporating C-reactive protein, lactate dehydrogenase, and diabetes status at the time of admission predicted intubation status with an area under the curve (AUC) of 0.78 with corresponding sensitivity of 86%, specificity of 63%. This predictive model achieved an AUC of 0.83, 91% sensitivity, and 41% specificity on the validation cohort. Conclusion: In patients hospitalised with CoVID-19, elevated serum inflammatory markers measured within the first twenty-four hours of admission are associated with an increased need for intubation. Additionally, a model of C-reactive protein, lactate dehydrogenase, and the presence of diabetes may play a predictive role in determining the future need for intubation.

Indexed as

CoVID-19inflammatory markersintubationSARS-CoV-2

Identifiers

PMID35274051
PMCPMC8852285

What OpenQuestion holds

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Registered trials

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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.