Evidence map›Paper›PMID 33957728›Full record

Observational studyTurkish journal of medical sciences2021

Risk factors associated with mortality in ıntensive care COVID-19 patients: the importance of chest CT score and intubation timing as risk factors

Vecihe Bayrak, Nurcan Şentürk Durukan, Ferhan Demirer Aydemir, Begüm Ergan, N. Sinem Gezer, Oya Özlem Eren Kutsoylu, A. Necati Gökmen, Yusuf Savran

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Turkish journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Variability of Steroid Prescription for COVID-19 Associated Pneumonia in Real-Life, Non-Trial Settings.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2022
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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 at 1 institution in 1 country.

Vecihe BayrakDepartment of Internal Medicine, Intensive Care Unit, Faculty of Medicine, Dokuz Eylül University, İzmir, TurkeyORCID 0000-0003-2403-8727
Nurcan Şentürk DurukanDepartment of Public Health, Faculty of Medicine, Dokuz Eylül University, İzmir, TurkeyORCID 0000-0002-7592-4086
Ferhan Demirer AydemirDepartment of Internal Medicine, Intensive Care Unit, Faculty of Medicine, Dokuz Eylül University, İzmir, TurkeyORCID 0000-0002-6740-1496
Begüm ErganDepartment of Chest Diseases, Intensive Care Unit, Faculty of Medicine, Dokuz Eylül University, İzmir, TurkeyORCID 0000-0003-2920-9214
N. Sinem GezerDepartment of Radiology, Faculty of Medicine, Dokuz Eylül University, İzmir, TurkeyORCID 0000-0002-0868-4545
Oya Özlem Eren KutsoyluDepartment of Infectious Diseases, Faculty of Medicine, Dokuz Eylül University, İzmir, TurkeyORCID 0000-0003-3814-0474
A. Necati GökmenDepartment of Anesthesiology and reanimation, Intensive Care Unit, Faculty of Medicine, Dokuz Eylül University, İzmir, TurkeyORCID 0000-0002-3225-7666
Yusuf SavranDepartment of Internal Medicine, International Medicana Hospital, İzmir, TurkeyORCID 0000-0002-0130-4730
Dokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Coronavirus disease 2019 (COVID-19) is a disease with a high rate of progression to critical illness. However, the predictors of mortality in critically ill patients admitted to the intensive care unit (ICU) are not yet well understood. In this study, we aimed to investigate the risk factors associated with ICU mortality in our hospital. Materials and methods: In this single-centered retrospective study, we enrolled 86 critically ill adult patients with COVID-19 admitted to ICU of Dokuz Eylül University Hospital (İzmir, Turkey) between 18 March 2020 and 31 October 2020. Data on demographic information, preexisting comorbidities, treatments, the laboratory findings at ICU admission, and clinical outcomes were collected. The chest computerized tomography (CT) of the patients were evaluated specifically for COVID-19 and CT score was calculated. Data of the survivors and nonsurvivors were compared with survival analysis to identify risk factors of mortality in the ICU. Results: The mean age of the patients was 71.1 ± 14.1 years. The patients were predominantly male. The most common comorbidity in patients was hypertension. ICU mortality was 62.8%. Being over 60 years old, CT score > 15, acute physiology and chronic health evaluation (APACHE) II score ≥ 15, having dementia, treatment without favipiravir, base excess in blood gas analysis ≤ –2.0, WBC > 10,000/mm3, D-dimer > 1.6 μg/mL, troponin > 24 ng/L, Na ≥ 145 mmol/L were considered to link with ICU mortality according to Kaplan–Meier curves (log-rank test, p < 0.05). The APACHE II score (HR: 1.055, 95% CI: 1.021–1.090) and chest CT score (HR: 2.411, 95% CI:1.193–4.875) were associated with ICU mortality in the cox proportional-hazard regression model adjusted for age, dementia, favipiravir treatment and troponin. Howewer, no difference was found between survivors and nonsurvivors in terms of intubation timing. Conclusions: COVID-19 patients have a high ICU admission and mortality rate. Studies in the ICU are also crucial in this respect. In our study, we investigated the ICU mortality risk factors of COVID-19 patients. We determined a predictive mortality model consisting of APACHE II score and chest CT score. It was thought that this feasible and practical model would assist in making clinical decisions.

Indexed as

Hospital MortalityAdolescentAdultAgedAged, 80 and overCOVID-19Critical CareFemaleHumansIntensive Care UnitsIntubation, IntratrachealLungMaleMiddle AgedRetrospective StudiesRisk FactorsAPACHE IICOVID-19CT scoreICU mortalityintubation timing

Identifiers

PMID33957728
PMCPMC8576336
OpenAlexW3157075896

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.