Evidence map›Paper›PMID 30473793›Full record

ArticleJournal of intensive care2018

High red blood cell distribution width as a marker of hospital mortality after ICU discharge: a cohort study.

Rafael Fernandez, Silvia Cano, Ignacio Catalan, Olga Rubio, Carles Subira, Jaume Masclans, Gina Rognoni, Lara Ventura, Caroline Macharete, Len Winfield and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of intensive care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. 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

11 authors at 1 institution in 1 country.

Rafael FernandezIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.ORCID 0000-0001-5711-5317
Silvia CanoIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Ignacio CatalanIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Olga RubioIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Carles SubiraIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Jaume MasclansIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Gina RognoniIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Lara VenturaIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Caroline MachareteIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Len WinfieldIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Josep Mª AlcoverroIntensive Care Department, Hospital Sant Joan de Deu - Fundacio Althaia, Dr. Joan Soler 1, 08243 Manresa, Spain.
Hospital Sant Joan de Déu Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh red blood cell distribution width (RDW) is associated with worse outcome in diverse scenarios, including in critical illness. The Sabadell score (SS) predicts in-hospital survival after ICU discharge. We aimed to determine RDW's association with survival after ICU discharge and whether RDW can improve the accuracy of the SS.

designRetrospective cohort study. Setting: general ICU at a university hospital. PATIENTS: We included all patients discharged to wards from January 2010 to October 2016.

methodsWe analyzed associations between RDW and variables recorded on admission (age, comorbidities, severity score), during the ICU stay (treatments, complications, length of stay (LOS)), and at ICU discharge (SS). The primary outcome was hospital mortality. Statistical analysis included multivariable logistic regression and receiver operating characteristic curve (ROC) analyses.

resultsWe discharged 3366 patients to wards; median ward LOS was 7 [4-13] days; ward mortality was 5.2%. Mean RDW at ICU discharge was 15.4 ± 2.5%. Ward mortality was higher at each quartile of RDW (0.7%, 2.9%, 7.5%, 10.3%; area under ROC 0.81). A logistic regression model with Sabadell score obtained an excellent accuracy for ward mortality (area under ROC 0.863), and the addition of RDW slightly improved accuracy (AUROC 0.890,

conclusionHigh RDW is a marker of severity at ICU discharge and improves the accuracy of Sabadell score in predicting ward mortality except in the more extreme SS3.

Indexed as

BiomarkersMortality predictionScoring systems

Identifiers

PMID30473793
PMCPMC6240256
OpenAlexW767087665

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.