Evidence map›Paper›PMID 33968298›Full record

ArticleOxidative medicine and cellular longevity2021

Predictors of Mortality in Critically Ill COVID-19 Patients Demanding High Oxygen Flow: A Thin Line between Inflammation, Cytokine Storm, and Coagulopathy.

Viseslav Popadic, Slobodan Klasnja, Natasa Milic, Nina Rajovic, Aleksandra Aleksic, Marija Milenkovic, Bogdan Crnokrak, Bela Balint, Milena Todorovic-Balint, Davor Mrda and 13 more

Abstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Medicina (Kaunas, Lithuania) · 2022
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  18. Female Reproductive Health in SARS-CoV-2 Pandemic Era.International journal of fertility & sterility · 2021
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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

23 authors.

Viseslav PopadicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-0992-7481
Slobodan KlasnjaUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-6040-0183
Natasa MilicInstitute for Medical Statistics and Informatics, Faculty of Medicine University of Belgrade, Belgrade, Serbia.ORCID https://orcid.org/0000-0001-7074-1187
Nina RajovicInstitute for Medical Statistics and Informatics, Faculty of Medicine University of Belgrade, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-8509-0329
Aleksandra AleksicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-5154-8434
Marija MilenkovicClinical Center of Serbia, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-0571-5772
Bogdan CrnokrakUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-2823-6245
Bela BalintInstitute of Cardiovascular Diseases "Dedinje", Belgrade, Serbia.ORCID https://orcid.org/0000-0002-3390-1599
Milena Todorovic-BalintFaculty of Medicine, University of Belgrade, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-0958-8811
Davor MrdaUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-2334-7862
Darko ZdravkovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-9349-6249
Borislav ToskovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-7054-3778
Marija BrankovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-9676-7198
Olivera MarkovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-5957-0716
Jelica Bjekic-MacutUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-4768-676X
Predrag DjuranUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-5298-8722
Lidija MemonUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-3551-1428
Milica BrajkovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-7737-0857
Zoran TodorovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0001-8869-9976
Jovan Hadzi-DjokicFaculty of Medicine, University of Belgrade, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-6708-3301
Igor JovanovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0001-8987-2849
Dejan NikolicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-7367-8723
Marija ZdravkovicUniversity Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-4059-0263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMortality among critically ill COVID-19 patients remains relatively high despite different potential therapeutic modalities being introduced recently. The treatment of critically ill patients is a challenging task, without identified credible predictors of mortality.

methodsWe performed an analysis of 160 consecutive patients with confirmed COVID-19 infection admitted to the Respiratory Intensive Care Unit between June 23, 2020, and October 2, 2020, in University Hospital Center Bezanijska kosa, Belgrade, Serbia. Patients on invasive, noninvasive ventilation and high flow oxygen therapy with moderate to severe ARDS, according to the Berlin definition of ARDS, were selected for the study. Demographic data, past medical history, laboratory values, and CT severity score were analyzed to identify predictors of mortality. Univariate and multivariate logistic regression models were used to assess potential predictors of mortality in critically ill COVID-19 patients.

resultsThe mean patient age was 65.6 years (range, 29-92 years), predominantly men, 68.8%. 107 (66.9%) patients were on invasive mechanical ventilation, 31 (19.3%) on noninvasive, and 22 (13.8%) on high flow oxygen therapy machine. The median total number of ICU days was 10 (25

conclusionIn the present study of 160 consecutive critically ill COVID-19 patients with moderate to severe ARDS, IL-6, serum albumin, and D-dimer at admission to ICU, accompanied by chest CT severity score, were marked as independent predictors of mortality.

Indexed as

AdultAgedAged, 80 and overBlood Coagulation DisordersCOVID-19Critical CareCritical IllnessCytokine Release SyndromeFemaleFibrin Fibrinogen Degradation ProductsHumansIntensive Care UnitsInterleukin-6Length of StayMaleMiddle AgedFibrin Fibrinogen Degradation Productsfibrin fragment DIL6 protein, humanInterleukin-6Serum Albumin, Human

Identifiers

PMID33968298
PMCPMC8081622

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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.