Evidence map›Paper›PMID 36313910›Full record

ArticleEJIFCC2022

Prognostic Value of Routine Blood Parameters in Intensive Care Unit COVID-19 Patients.

Nada Yousfi, Ines Fathallah, Amal Attoini, Meriem Jones, Mariem Henchir, Zeineb Ben Hassine, Nadia Kouraichi, Naouel Ben Salah

Abstract read
In one paragraph

Article in EJIFCC, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Nada YousfiClinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia.
Ines FathallahIntensive Care Unit, Regional Hospital of Ben Arous, Ben Arous, Tunisia.
Amal AttoiniClinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia.
Meriem JonesDermatology Service, Charles Nicolle Hospital, Tunis, Tunisia.
Mariem HenchirClinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia.
Zeineb Ben HassineClinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia.
Nadia KouraichiIntensive Care Unit, Regional Hospital of Ben Arous, Ben Arous, Tunisia.
Naouel Ben SalahClinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Laboratory medicine has an important role in the management of COVID-19. The aim of this study was to analyze routinely available blood parameters in intensive care unit COVID-19 patients and to evaluate their prognostic value. Patients and methods: This is a retrospective, observational, single-center study including consecutive severe COVID-19 patients who were admitted into the intensive care unit of Ben Arous Regional Hospital in Tunisia from 28 September 2020 to 31 May 2021. The end point of the study was either hospital discharge or in-hospital death. We defined two groups based on the outcome: survivors (Group 1) and non-survivors (Group 2). Demographical, clinical, and laboratory data on admission were collected and compared between the two groups. Univariate and multivariate logistic regression analysis were performed to determine the predictive factors for COVID-19 disease mortality. Results: A total of 150 patients were enrolled. Eighty patients (53.3%) died and 70 (46.7%) survived during the study period. Based on statistical analysis, median age, Simplified Acute Physiology Score (SAPS II) with the serum levels of urea, creatinine, total lactate dehydrogenase (LDH), creatine kinase, procalcitonin and hs-troponin I were significantly higher in non-survivors compared to survivors. On multivariate analysis, LDH activity ≥ 484 U/L (OR=17.979; 95%CI [1.119-2.040]; p = 0.09) and hs-troponin I ≥ 6.55 ng/L (OR=12.492; 95%CI [1.691-92.268]; p = 0.013) independently predicted COVID-19 related mortality. Conclusion: Total LDH and hs-troponin I were independent predictors of death. However, further clinical investigations with even larger number of patients are needed for the evaluation of other laboratory biomarkers which could aid in assessing the prediction of mortality.

Indexed as

COVID-19intensive care unitlaboratory blood testsprognosis

Identifiers

PMID36313910
PMCPMC9562480

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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.