Evidence map›Paper›PMID 34984341›Full record

ArticleCritical care explorations2021

Evaluation of Albumin Kinetics in Critically Ill Patients With Coronavirus Disease 2019 Compared to Those With Sepsis-Induced Acute Respiratory Distress Syndrome.

Chang Su, Katherine L Hoffman, Zhenxing Xu, Elizabeth Sanchez, Ilias I Siempos, John S Harrington, Alexandra C Racanelli, Maria Plataki, Fei Wang, Edward J Schenck

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  8. Albumin Kinetics in Sepsis and COVID-19.Critical care explorations · 2022
    Article
  9. Review
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

10 authors at 6 institutions in 2 countries.

Chang SuDepartment of Health Service Administration and Policy, College of Public Health, Temple University, Philadelphia, PA.
Katherine L HoffmanDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Zhenxing XuDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Elizabeth SanchezDepartment of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY.
Ilias I SiemposDivision of Pulmonary & Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY.
John S HarringtonDepartment of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY.
Alexandra C RacanelliDepartment of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY.
Maria PlatakiDepartment of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY.
Fei WangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Edward J SchenckDepartment of Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY.
Weill Cornell Medicine · USCornell University · USPresbyterian Hospital · USNational and Kapodistrian University of Athens · GRNew York Hospital Queens · USTemple University · US

Funding

Necroinflammatory Cell Death in SepsisK23HL151876 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHENCK, EDWARD JAMES · 2021 to 2025
$975k
NHLBI NIH HHS K23 HL151876
6 · The paper itself

Abstract

objectivesThis report aims to characterize the kinetics of serum albumin in critically ill patients with coronavirus disease 2019 compared with critically ill patients with sepsis-induced acute respiratory distress syndrome.

designRetrospective analysis.

settingWe analyzed two critically ill cohorts, one with coronavirus disease 2019 and another with sepsis-induced acute respiratory distress syndrome, treated in the New York Presbyterian Hospital-Weill Cornell Medical Center. PATIENTS: Adult patients in the coronavirus disease 2019 cohort, diagnosed through reverse transcriptase-polymerase chain reaction assays performed on nasopharyngeal swabs, were admitted from March 3, 2020, to July 10, 2020. Adult patients in the sepsis-induced acute respiratory distress syndrome cohort, defined by Sepsis III criteria receipt of invasive mechanical ventilation and a Pao

interventionsNone. MEASUREMENTS AND MAIN

resultsWe evaluated serial serum albumin levels within 30 days after ICU admission in each cohort. We then examined the albumin progression trajectories, aligned at ICU admission time to test the relationship at a similar point in disease progression, in survivors and nonsurvivors. Albumin trajectory in all critically ill coronavirus disease 2019 patients show two distinct phases: phase I (deterioration) showing rapid albumin loss and phase II (recovery) showing albumin stabilization or improvement. Meanwhile, albumin recovery predicted clinical improvement in critical coronavirus disease 2019. In addition, we found a deterioration and recovery trends in survivors in the sepsis-induced acute respiratory distress syndrome cohort but did not find such two-phase trend in nonsurvivors.

conclusionsThe changes in albumin associated with coronavirus disease 2019 associated respiratory failure are transient compared with sepsis-associated acute respiratory distress syndrome and highlight the potential for recovery following a protracted course of severe coronavirus disease 2019.

Indexed as

acute respiratory distress syndromealbumincoronavirus disease 2019sepsis

Identifiers

PMID34984341
PMCPMC8718234
OpenAlexW4200454138

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.