Evidence map›Paper›PMID 37542399›Full record

ArticleArchives of Iranian medicine2022

Predictors of Mortality among COVID-19 Patients Admitted to Intensive Care Units: A Single-Center Study in Tehran, Iran.

Arash Amini, Atabak Najafi, Arezoo Ahmadi, Mojtaba Mojtahedzadeh, Elahe Karimpour-Razkenari, Hamidreza Sharifnia, Shahriar Shahsavar Mistani, Farin Kamangar

Open access · hybridAbstract read
In one paragraph

Article in Archives of Iranian medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 79% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Arash AminiDepartment of Anesthesiology and Critical Care, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-9357-0616
Atabak NajafiDepartment of Anesthesiology and Critical Care, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Arezoo AhmadiDepartment of Anesthesiology and Critical Care, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mojtaba MojtahedzadehDepartment of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Elahe Karimpour-RazkenariDepartment of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza SharifniaDepartment of Anesthesiology and Critical Care, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Shahriar Shahsavar MistaniDepartment of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Farin KamangarDepartment of Biology, School of Computer, Mathematical, and Natural Sciences, Morgan State University, Baltimore, MD, USA.ORCID 0000-0003-4169-7978
Tehran University of Medical Sciences · IRMorgan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIran was one of the first countries to become an epicenter of the coronavirus disease 2019 (COVID-19) epidemic. However, there is a dearth of data on the outcomes of COVID-19 and predictors of death in intensive care units (ICUs) in Iran. We collected extensive data from patients admitted to the ICUs of the one of the tertiary referral hospitals in Tehran, Iran, to investigate the predictors of ICU mortality.

methodsThe study population included 290 COVID-19 patients who were consecutively admitted to the ICUs of the Sina hospital from May 5, 2021, to December 6, 2021, a period that included the peak of the epidemic of the delta (δ) variant. Demographic data, history of prior chronic diseases, laboratory data (including markers of inflammation), radiologic data, and medication data were collected.

resultsOf the 290 patients admitted to the ICUs, 187 (64.5%) died and 103 (35.5%) survived. One hundred forty-one (141, 48.6%) were men, and the median age (10th percentile, 90th percentile) was 60 (41, 80). Using logistic regression models, older age, history of hypertension, high levels of inflammatory markers, low oxygen saturation, substantial lung involvement in computed tomography (CT) scans, and gravity of the disease as indicated by the WHO 8-point ordinal scale were primary predictors of mortality at ICU. The use of remdesivir and imatinib was associated with a statistically non-significant reduction in mortality. The use of tocilizumab had almost no effect on mortality.

conclusionThe findings are consistent with and add to the currently existing international literature. The findings may be used to predict risk of mortality from COVID-19 and provide some guidance on potential treatments.

Indexed as

COVID-19FemaleHumansIntensive Care UnitsIranMaleRetrospective StudiesSARS-CoV-2Tertiary Care CentersCOVID-19ICUIranMortality

Identifiers

PMID37542399
PMCPMC10685871
OpenAlexW4313729307

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