Electrocardiographic T wave alterations and prediction of hyperkalemia in patients with acute kidney injury.
Acute kidney injury
ECG
Hyperkalemia
Potassium
Predictive models
Journal
Internal and emergency medicine
ISSN: 1970-9366
Titre abrégé: Intern Emerg Med
Pays: Italy
ID NLM: 101263418
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
24
07
2019
accepted:
12
10
2019
pubmed:
7
11
2019
medline:
15
12
2020
entrez:
6
11
2019
Statut:
ppublish
Résumé
Electrocardiographic (ECG) alterations are common in hyperkalemic patients. While the presence of peaked T waves is the most frequent ECG alteration, reported findings on ECG sensitivity in detecting hyperkalemia are conflicting. Moreover, no studies have been conducted specifically in patients with acute kidney injury (AKI). We used the best subset selection and cross-validation methods [via linear and logistic regression and leave-one-out cross-validation (LOOCV)] to assess the ability of T waves to predict serum potassium levels or hyperkalemia (defined as serum potassium ≥ 5.5 mEq/L). We included the following clinical variables as a candidate for the predictive models: peaked T waves, T wave maximum amplitude, T wave/R wave maximum amplitude ratio, age, and indicator variates for oliguria, use of ACE-inhibitors, sartans, mineralocorticoid receptor antagonists, and loop diuretics. Peaked T waves poorly predicted the serum potassium levels in both full and test sample (R
Identifiants
pubmed: 31686358
doi: 10.1007/s11739-019-02217-x
pii: 10.1007/s11739-019-02217-x
doi:
Substances chimiques
Potassium
RWP5GA015D
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
463-472Commentaires et corrections
Type : CommentIn
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