Evidence map›Paper›PMID 33987808›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Red blood cell distribution width predicts in-hospital mortality in patients with a primary diagnosis of seizures in the ICU: a retrospective database study.

Yingfang She, Yide Li, Shuda Chen, Ying Chen, Liemin Zhou

Open access · bronzeAbstract read
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 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

5 authors at 1 institution in 1 country.

Yingfang She *Neurology Medicine Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China. doctorshe2020@163.com.ORCID http://orcid.org/0000-0002-2458-1896
Yide Li *Department of Critical Care Medicine, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Shuda ChenNeurology Medicine Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Ying ChenNeurology Medicine Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Liemin ZhouNeurology Medicine Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China. lmzhou56@163.com.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to determine the predictive value of red blood cell distribution width (RDW) in patients with a primary diagnosis of seizures admitted to the intensive care unit (ICU) in terms of in-hospital mortality.

methodsThis was a retrospective study of the eICU Collaborative Research Database of adult patients (aged 18-88 years) with a primary diagnosis of seizures in 2014 and 2015. The prognostic value of RDW was investigated using a receiver operating characteristic (ROC) curve, multiple logistic regression model, and net reclassification index (NRI).

resultsWe identified 1568 patients who met the inclusion criteria. High RDW was significantly correlated with in-hospital mortality after adjusting for potential confounders with an odds ratio (OR) of 3.513 (95% confidence interval [CI]:1.699-7.266). The area under the ROC curve of RDW for in-hospital mortality was 0.7225. Compared with the prediction of in-hospital mortality using APACHE IV score alone, the continuous NRI with the RDW variable was 0.3507 (95%CI: 0.0584-0.6431, p < 0.05). The length of stay in the ICU of patients with an RDW >14.65% was significantly increased compared to those with normal RDW (log-rank test, p < 0.0001).

conclusionRDW width can be useful for prediction of in-hospital mortality in patients with seizures admitted to the ICU, and it provides additional prognostic value beyond the APACHE IV score alone.

Indexed as

Intensive Care UnitsSeizuresErythrocytesHospital MortalityHumansPrognosisRetrospective StudiesROC CurveeICU-CRD databaseIn-hospital mortalityIntensive care unitRed blood cell distribution widthSeizure

Identifiers

PMID33987808
PMCPMC8118370
OpenAlexW3162326283

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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.