Evidence map›Paper›PMID 29166900›Full record

Observational studyBMC medical informatics and decision making2017

Association between borderline dysnatremia and mortality insight into a new data mining approach.

Yannick Girardeau, Anne-Sophie Jannot, Gilles Chatellier, Olivier Saint-Jean

Abstract readObservational Study
In one paragraph

Observational study in BMC medical informatics and decision making, 2017. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Observational
  4. Article
  5. Review
  6. Increased mortality risk associated with serum sodium variations and borderline hypo- and hypernatremia in hospitalized adults.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Article
  7. Article
  8. 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

4 authors.

Yannick GirardeauBiomedical Informatics and Public Health Department, Hôpital Européen G. Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France. yannick.girardeau@aphp.fr.ORCID http://orcid.org/0000-0003-3980-0104
Anne-Sophie JannotBiomedical Informatics and Public Health Department, Hôpital Européen G. Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.
Gilles ChatellierBiomedical Informatics and Public Health Department, Hôpital Européen G. Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.
Olivier Saint-JeanDivision of Geriatrics, Hôpital Européen G. Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven small variations of serum sodium concentration may be associated with mortality. Our objective was to confirm the impact of borderline dysnatremia for patients admitted to hospital on in-hospital mortality using real life care data from our electronic health record (EHR) and a phenome-wide association analysis (PheWAS).

methodsRetrospective observational study based on patient data admitted to Hôpital Européen George Pompidou, between 01/01/2008 and 31/06/2014; including 45,834 patients with serum sodium determinations on admission. We analyzed the association between dysnatremia and in-hospital mortality, using a multivariate logistic regression model to adjust for classical potential confounders. We performed a PheWAS to identify new potential confounders.

resultsHyponatremia and hypernatremia were recorded for 12.0% and 1.0% of hospital stays, respectively. Adjusted odds ratios (ORa) for severe, moderate and borderline hyponatremia were 3.44 (95% CI, 2.41-4.86), 2.48 (95% CI, 1.96-3.13) and 1.98 (95% CI, 1.73-2.28), respectively. ORa for severe, moderate and borderline hypernatremia were 4.07 (95% CI, 2.92-5.62), 4.42 (95% CI, 2.04-9.20) and 3.72 (95% CI, 1.53-8.45), respectively. Borderline hyponatremia (ORa = 1.57 95% CI, 1.35-1.81) and borderline hypernatremia (ORa = 3.47 95% CI, 2.43-4.90) were still associated with in-hospital mortality after adjustment for classical and new confounding factors identified through the PheWAS analysis.

conclusionBorderline dysnatremia on admission are independently associated with a higher risk of in-hospital mortality. By using medical data automatically collected in EHR and a new data mining approach, we identified new potential confounding factors that were highly associated with both mortality and dysnatremia.

Indexed as

Data MiningElectronic Health RecordsHospital MortalityModels, StatisticalAgedAged, 80 and overFemaleFranceHospitalizationHumansHypernatremiaHyponatremiaMaleMiddle AgedRetrospective StudiesBorderline dysnatremiaElectronic health recordHypernatremiaHyponatremiaIn-hospital mortalityPhenome-wide association analysisSodium

Identifiers

PMID29166900
PMCPMC5700671

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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.