Evidence map›Paper›PMID 36779216›Full record

ArticleInternational journal of critical illness and injury science

MELD-Na score, Acute Physiologic and Chronic Health Evaluation II score, and SOFA score and their association with mortality in critically ill COVID-19 patients with liver injury: A retrospective single-center study.

Sandra Gomez-Paz, Eric Lam, Luis Gonzalez-Mosquera, Brian Berookhim, Paul Mustacchia, Joshua Fogel, Sofia Rubinstein

Abstract read
In one paragraph

Article in International journal of critical illness and injury science. 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
–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. Article
  2. 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

7 authors.

Sandra Gomez-PazDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, Nassau University Medical Center, New York, USA.
Eric LamDepartment of Internal Medicine, Nassau University Medical Center, New York, USA.
Luis Gonzalez-MosqueraDepartment of Internal Medicine, Nassau University Medical Center, New York, USA.
Brian BerookhimDepartment of Internal Medicine, Nassau University Medical Center, New York, USA.
Paul MustacchiaDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, Nassau University Medical Center, New York, USA.
Joshua FogelDepartment of Business Management, Brooklyn College, New York, USA.
Sofia RubinsteinDepartment of Internal Medicine, Division of Nephrology and Hypertension, Nassau University Medical Center, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Acute Physiologic and Chronic Health Evaluation II (APACHE-II), Sequential Organ Failure Assessment (SOFA), and Model for End-Stage Liver Disease modified for Sodium concentration (MELD-Na) scores are validated to predict disease mortality. We studied the prognostic utility of these scoring systems in critically ill coronavirus disease 2019 (COVID-19) patients with liver injury. Methods: This was a retrospective study of 291 confirmed COVID-19 and liver injury patients requiring intensive care unit level of care. These patients required supplemental oxygen requirement with fraction of inspired oxygen >55% and/or the use of vasopressor. MELD-Na, SOFA, and APACHE-II scores were adjusted. Outcomes were mortality and length of stay (LOS). Results: SOFA (odds ratio: 0.78, 95% confidence interval: 0.63-0.98, Conclusions: We suggest that the novel nature of COVID-19 necessitates new scoring systems to predict outcomes in critically ill COVID-19 patients with liver injury.

Indexed as

acuteAcute Physiologic and Chronic Health Evaluation IIcoronavirus disease 2019intensive care unitliver failuremortality

Identifiers

PMID36779216
PMCPMC9910115

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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.