Title | ||
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Association between borderline dysnatremia and mortality insight into a new data mining approach. |
Abstract | ||
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Even 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).Retrospective 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.Hyponatremia 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.Borderline 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. |
Year | DOI | Venue |
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2017 | 10.1186/s12911-017-0549-7 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Borderline dysnatremia,Electronic health record,Hypernatremia,Hyponatremia,In-hospital mortality,Phenome-wide association analysis,Sodium | Data mining,Confounding,Pediatrics,Hyponatremia,Hypernatremia,Odds ratio,Medical record,Retrospective cohort study,Logistic regression,Medicine | Journal |
Volume | Issue | ISSN |
17 | 1 | 1472-6947 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yannick Girardeau | 1 | 0 | 0.34 |
Anne-Sophie Jannot | 2 | 0 | 0.68 |
G Chatellier | 3 | 59 | 11.92 |
Olivier Saint-Jean | 4 | 0 | 0.34 |