Evidence map›Paper›PMID 34322358›Full record

ArticleCureus2021

Prognostic Factors and Predictors of In-Hospital Mortality Among COVID-19 Patients Admitted to the Intensive Care Unit: An Aid for Triage, Counseling, and Resource Allocation.

Waleed Burhamah, Iman Qahi, Melinda Oroszlányová, Sameera Shuaibi, Razan Alhunaidi, May Alduwailah, Maryam Alhenaidi, Zahraa Mohammad

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Waleed BurhamahSchool of Medicine, Royal College of Surgeons in Ireland, Dublin, IRL.
Iman QahiDepartment of General Surgery, Mubarak AlKabeer Hospital, Kuwait, KWT.
Melinda OroszlányováCollege of Engineering and Technology, American University of the Middle East, Kuwait, KWT.
Sameera ShuaibiDepartment of Internal Medicine, Al-Adan Hospital, Kuwait, KWT.
Razan AlhunaidiDepartment of Internal Medicine, Kuwait University, Health Sciences Center, School of Medicine, Kuwait, KWT.
May AlduwailahDepartment of Internal Medicine, Kuwait University, Health Sciences Center, School of Medicine, Kuwait, KWT.
Maryam AlhenaidiDepartment of Internal Medicine, Kuwait University, Health Sciences Center, School of Medicine, Kuwait, KWT.
Zahraa MohammadDepartment of Internal Medicine, Kuwait University, Health Sciences Center, School of Medicine, Kuwait, KWT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains today a global health pandemic. Those with severe infection are at risk of rapid clinical deterioration; as a result, intensive care unit (ICU) admission is not uncommon in such patients. A number of determinants have been identified as predictors of poor prognosis and in-hospital mortality, ranging from demographic characteristics, laboratory and/or radiological findings.

aimTo identify determinants of in-hospital mortality and examine the accuracy of seven early warning scores in predicting in-hospital mortality.

methodsThis is a retrospective study conducted in Kuwait from July 2020 to March 2021, and participants were adult patients with a positive test on the real-time polymerase chain reaction (RT-PCR) for SARS-CoV-2 and who met the criteria for ICU admission. Data collected included: demographics, clinical status on hospital arrival, laboratory test results, and ICU course. Furthermore, we calculated seven early warning scores for each of our patients.

resultsA total of 133 patients were admitted to our COVID-19 ICU with a median age of 59 years. Arrival to ICU on mechanical ventilation (MV), developing in-hospital complications, having chronic kidney disease (CKD), having a high white blood count (WBC), lactate dehydrogenase (LDH), lactate, or urea levels were found to be significant predictors of in-hospital mortality. Furthermore, the 4C mortality score for COVID-19, VACO index for COVID-19 mortality, and the PRIEST COVID-19 clinical severity score proved to be the most superior in predicting in-hospital mortality.

conclusionIdentifying high-risk patients and those with a poor prognosis allows for efficient triaging and the delivery of high-standard care while minimizing the strain on the healthcare system.

Indexed as

covid-19critical careicuprognostic scoressars-cov- 2

Identifiers

PMID34322358
PMCPMC8299433

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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.