Evidence map›Paper›PMID 34257816›Full record

Trial reportOxidative medicine and cellular longevity2021

Development and Validation of a Multivariable Predictive Model for Mortality of COVID-19 Patients Demanding High Oxygen Flow at Admission to ICU: AIDA Score.

Marija Zdravkovic, Viseslav Popadic, Slobodan Klasnja, Vedrana Pavlovic, Aleksandra Aleksic, Marija Milenkovic, Bogdan Crnokrak, Bela Balint, Milena Todorovic-Balint, Davor Mrda and 15 more

Abstract readClinical TrialMulticenter StudyValidation Study
In one paragraph

Trial report 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Medicina (Kaunas, Lithuania) · 2022
    Review
  5. 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

25 authors.

Marija ZdravkovicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-4059-0263
Viseslav PopadicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-0992-7481
Slobodan KlasnjaUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-6040-0183
Vedrana PavlovicInstitute for Medical Statistics and Informatics, Faculty of Medicine University of Belgrade, Belgrade, Serbia.ORCID https://orcid.org/0000-0001-8367-9511
Aleksandra AleksicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-5154-8434
Marija MilenkovicFaculty of Medicine, University of Belgrade, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-0571-5772
Bogdan CrnokrakUniversity Clinical Hospital 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 Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-2334-7862
Darko ZdravkovicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-9349-6249
Borislav ToskovicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-7054-3778
Marija BrankovicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-9676-7198
Olivera MarkovicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-5957-0716
Jelica Bjekic-MacutUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-4768-676X
Predrag DjuranUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-5298-8722
Lidija MemonUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-3551-1428
Ana StojanovicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-0675-6004
Milica BrajkovicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-7737-0857
Zoran TodorovicUniversity Clinical Hospital 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 Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0001-8987-2849
Dejan NikolicUniversity Clinical Hospital Center, Bezanijska kosa, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-7367-8723
Dane CvijanovicUniversity Clinical Center Zvezdara, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-2431-9388
Natasa MilicInstitute for Medical Statistics and Informatics, Faculty of Medicine University of Belgrade, Belgrade, Serbia.ORCID https://orcid.org/0000-0001-7074-1187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRisk stratification is an important aspect of COVID-19 management, especially in patients admitted to ICU as it can provide more useful consumption of health resources, as well as prioritize critical care services in situations of overwhelming number of patients. MATERIALS AND

methodsA multivariable predictive model for mortality was developed using data solely from a derivation cohort of 160 COVID-19 patients with moderate to severe ARDS admitted to ICU. The regression coefficients from the final multivariate model of the derivation study were used to assign points for the risk model, consisted of all significant variables from the multivariate analysis and age as a known risk factor for COVID-19 patient mortality. The newly developed AIDA score was arrived at by assigning 5 points for serum albumin and 1 point for IL-6, D dimer, and age. The score was further validated on a cohort of 304 patients admitted to ICU due to the severe form of COVID-19.

resultsThe study population included 160 COVID-19 patients admitted to ICU in the derivation and 304 in the validation cohort. The mean patient age was 66.7 years (range, 20-93 years), with 68.1% men and 31.9% women. Most patients (76.8%) had comorbidities with hypertension (67.7%), diabetes (31.7), and coronary artery disease (19.3) as the most frequent. A total of 316 patients (68.3%) were treated with mechanical ventilation. Ninety-six (60.0%) in the derivation cohort and 221 (72.7%) patients in the validation cohort had a lethal outcome. The population was divided into the following risk categories for mortality based on the risk model score: low risk (score 0-1) and at-risk (score > 1). In addition, patients were considered at high risk with a risk score > 2. By applying the risk model to the validation cohort (

conclusionIn the present study, AIDA score showed a valuable significance in estimating the mortality risk in patients with the severe form of COVID-19 disease at admission to ICU. Further external validation on a larger group of patients is needed to provide more insights into the utility of this score in everyday practice.

Indexed as

COVID-19HospitalizationIntensive Care UnitsModels, BiologicalOxygenRespiration, ArtificialAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRisk AssessmentSARS-CoV-2Oxygen

Identifiers

PMID34257816
PMCPMC8245230

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.