Evidence map›Paper›PMID 30946764›Full record

ArticlePloS one2019

Cortisol and adrenal androgens as independent predictors of mortality in septic patients.

Rocío De Castro, David Ruiz, Bernardo-Alio Lavín, Jose Ángel Lamsfus, Luis Vázquez, Coral Montalban, Gilberto Marcano, Raquel Sarabia, María Paz-Zulueta, Cristina Blanco and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  6. Novel cortisol trajectory sub-phenotypes in sepsis.Critical care (London, England) · 2024
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  12. Review
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  14. BioMed research international · 2019
    Observational
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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

11 authors at 3 institutions in 1 country.

Rocío De CastroAnesthesiology Service, Sierrallana Hospital, Torrelavega, Spain.
David RuizEndocrinology Service, Marqués de Valdecilla University Hospital, Santander, Spain.ORCID 0000-0002-9622-6121
Bernardo-Alio LavínClinical Analysis Service, Marqués de Valdecilla University Hospital, Santander, Spain.
Jose Ángel LamsfusAnesthesiology Service, Sierrallana Hospital, Torrelavega, Spain.
Luis VázquezEndocrinology Service, Marqués de Valdecilla University Hospital, Santander, Spain.
Coral MontalbanEndocrinology Service, Marqués de Valdecilla University Hospital, Santander, Spain.
Gilberto MarcanoAnesthesiology Service, Sierrallana Hospital, Torrelavega, Spain.
Raquel SarabiaNursing Department, University of Cantabria-IDIVAL, Santander, Spain.
María Paz-ZuluetaNursing Department, University of Cantabria-IDIVAL, Santander, Spain.
Cristina BlancoNursing Department, University of Cantabria-IDIVAL, Santander, Spain.
Miguel SantibáñezNursing Department, University of Cantabria-IDIVAL, Santander, Spain.
Marqués de Valdecilla University Hospital · ESUniversidad de Cantabria · ESHospital Sierrallana · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the prognostic value of cortisol, Dehydroepiandrosterone (DHEA) and Dehydroepiandrosterone-sulfate (DHEAS), together with their ratios (cortisol/DHEA and cortisol/DHEAS), as independent predictors of mortality in septic patients.

methodsProspective cohort study of 139 consecutive patients with a diagnosis of severe sepsis or septic shock. Adrenal hormones were determined within the first 24 hours of the septic process. To determine and compare the predictive ability of each marker for the risk of unfavorable evolution (in-hospital, 28-day and 90-day mortality), ROC (Receiver Operating Characteristic) curves were constructed and the area under the curve (AUC) was determined. As measures of association, adjusted odds ratios (OR) with their 95% confidence intervals (95%CI) were estimated by unconditional logistic regression. Cortisol, DHEA and DHEAS results were compared to lactate, CRP, SOFA and APACHE II Scores.

resultsCortisol showed the best predictive ability, with AUCs of 0.758, 0.759 and 0.705 for in-hospital mortality, and 28-day and 90-day mortality, respectively; whereas AUCs for 28 days mortality for SOFA and APACHE II scores, and other biomarkers studied, such as Lactate or CRP, were 0.644, 0.618, 0.643 and 0.647, respectively. Associations between high cortisol levels (>17.5 μg/dL) and mortality were strong and statistically significant for in-hospital and 28-day mortality: adjusted ORs 10.13 and 9.45 respectively, and lower for long term mortality (90 days): adjusted OR 4.26 (95% CI 1.34-13.56), p trend 0.014. Regarding adrenal androgens, only positive associations were obtained for DHEAS and most of these positive associations did not yield statistical significance. Regarding Cortisol/DHEA and cortisol/DHEAS ratios, they did not improve the predictive ability of cortisol. The only exception was the cortisol/DHEAS ratio, which was the best predictor of mortality at 90 days (AUC 0.737), adjusted OR for highest cortisol/DHEAS ratio values 6.33 (95%CI 1.77-22.60), p trend 0.002.

conclusionBasal cortisol measured within the first 24 hours of the septic process was the best prognostic factor for in-hospital and 28-day mortality, even superior to the Sequential Organ Failure Assessment (SOFA) or Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. The cortisol/DHEAS ratio was an independent predictor of long-term mortality.

Indexed as

Adrenal GlandsAgedAndrogensArea Under CurveBiomarkersFemaleHospital MortalityHumansHydrocortisoneMaleOdds RatioRisk FactorsSepsisAndrogensBiomarkersHydrocortisone

Identifiers

PMID30946764
PMCPMC6448869
OpenAlexW2931267380

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.