Evidence map›Paper›PMID 35634446›Full record

ArticleDisease markers2022

Predicting Intensive Care Unit Admission for COVID-19 Patients from Laboratory Results.

Basmah M Azad Allarakia, Hattan S Gattan, Rawan H Abdeen, Bassam M Al-Ahmadi, Abdullah F Shater, Mohammed B Bazaid, Omar W Althomali, Abdulrahman S Bazaid

Abstract read
In one paragraph

Article in Disease markers, 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. 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

8 authors.

Basmah M Azad AllarakiaMedical Department, Althagar General Hospital, Jeddah, Saudi Arabia.
Hattan S GattanDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0003-3514-4912
Rawan H AbdeenDiagnostic Radiology Technology Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Bassam M Al-AhmadiDepartment of Biology, Faculty of Science, Taibah University, Medina, Saudi Arabia.
Abdullah F ShaterDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia.
Mohammed B BazaidPediatric Department, East Jeddah Hospital, Jeddah, Saudi Arabia.
Omar W AlthomaliDepartment of Physiotherapy, College of Applied Medical Sciences, University of Hail, Ha'il, Saudi Arabia.ORCID https://orcid.org/0000-0003-2985-3958
Abdulrahman S BazaidDepartment of Clinical Laboratory Science, College of Applied Medical Science, University of Hail, Ha'il, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trends in routine laboratory tests, such as high white blood cell and low platelet counts, correlate with COVID-19-related intensive care unit (ICU) admissions. Other related biomarkers include elevated troponin, alanine aminotransferase, and aspartate transaminase levels (liver function tests). To this end, the aim of this study was to investigate the effect of changes in laboratory test parameters on ward-based and ICU COVID-19 patients. A total of 280 COVID-19 patients were included in the study and were divided based on admission status into ICU (37) or ward (243) patients. ICU admission correlated significantly with higher levels of several tested parameters, including lactate dehydrogenase, creatinine, D-dimer, creatine kinase, white blood cell count, and neutrophil count. In conclusion, routine laboratory tests offer an indication of which COVID-19 patients are most likely to be admitted to the ICU. These associations can assist healthcare providers in addressing the needs of patients who are at risk of COVID-19 complications.

Indexed as

COVID-19Critical CareHospitalizationHumansIntensive Care UnitsRetrospective Studies

Identifiers

PMID35634446
PMCPMC9133894

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.