Evidence map›Paper›PMID 33041130›Full record

Observational studyThe American journal of emergency medicine2021

Early predictors of mortality for moderate to severely ill patients with Covid-19.

Gökhan Aksel, Mehmet Muzaffer İslam, Abdullah Algın, Serkan Emre Eroğlu, Gökselin Beleli Yaşar, Enis Ademoğlu, Ümit Can Dölek

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Gökhan AkselEmergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey. Electronic address: aksel@gokhanaksel.com.
Mehmet Muzaffer İslamEmergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.
Abdullah AlgınEmergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.
Serkan Emre EroğluEmergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.
Gökselin Beleli YaşarEmergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.
Enis AdemoğluEmergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.
Ümit Can DölekEmergency Medicine Department, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey.
Sağlık Bilimleri Üniversitesi · TRÜmraniye Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetermining the factors affecting the mortality and clinical conditions of the patients with Covid-19 are indispensable needs in developing patient treatment algorithms. We aimed to determine the parameters that can predict the mortality of moderate to severely ill patients with laboratory confirmed Covid-19.

methodsModerate to severely ill, Covid-19 patients older than 18 years were included. Mild Covid-19 patients and the ones with negative polymerase chain reaction test results were excluded from the study. The primary outcome of the study was 30-day mortality rate and we aimed to determine the factors affecting mortality in moderate to severely ill Covid-19 patients.

results168 patient results were analyzed. Median age of the patients was 59.5 (48.3 to 76) and 90 (53.6%) were male. According to multivariate regression analysis results, the presence of any comorbid disease (p = 0.027, HR = 26.11 (95%CI: 1.45 to 471.31)), elevated C-reactive protein levels (CRP) (p < 0.001, HR = 1.24 (95%CI: 1.11 to 1.38)) and presence of dyspnea (p = 0.026, HR = 4.26 ((95%CI: 1.19 to 15.28)) were found to significantly increase the mortality, while high pulse O 2 saturation level (p < 0.001, HR = 0.90 (95%CI: 0.82 to 0.99) was found to decrease. When receiver operating characteristic curve was created for laboratory tests, it was determined that white blood cell counts, neutrophil counts, CRP levels and neutrophil/lymphocyte ratio predicted mortality while Lymphocyte levels did not.

conclusionDyspnea, the presence of any comorbid disease, elevated CRP levels, and low pulse O 2 saturation levels predict mortality in moderate to severely ill Covid-19 patients.

Indexed as

PandemicsSARS-CoV-2AgedComorbidityCOVID-19Critical IllnessFemaleFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesSurvival RateTurkey2019 novel coronavirus diseaseCOVID-19 pandemicMortalitySARS-CoV-2 infection

Identifiers

PMID33041130
PMCPMC7452846
OpenAlexW3081513199

What OpenQuestion holds

Textmetadata
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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.