Indicators for predicting continuous insulin infusion therapy-related hypokalemia: multicenter retrospective cohort study

Endocrine Journal 2026 Open access

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Authors: Yuichiro Iwamoto, Tomohiko Kimura, Masato Kubo, Yui Okamoto, Ryo Inaba, Takashi Itoh, Toshitomo Sugisaki, Kazunori Dan, Hideyuki Iwamoto, Yoshiro Fushimi, Junpei Sanada, Hayato Isobe
+7 more Fuminori Tatsumi, Yukiko Kimura, Fumiko Kawasaki, Masashi Shimoda, Shuhei Nakanishi, Kohei KAKU, Hideaki Kaneto
DOI: 10.1507/endocrj.ej26-0061
Cited by: 1
References: 16

Abstract

Hypokalemia is a common and potentially life-threatening complication of continuous intravenous insulin infusion (CII) in patients with hyperglycemic crises. However, no simple quantitative indicator can estimate the risk of hypokalemia at treatment initiation. This multicenter retrospective cohort study enrolled patients hospitalized for hyperglycemic crises who received CII. Clinical data available at CII initiation were collected. Machine-learning techniques were primarily employed for feature selection and model comparison to develop a simple, clinically interpretable prediction model. A logistic regression-based indicator was constructed using the most contributory variables and validated internally and externally. Hypokalemia was defined as a serum potassium level

Fields of Study & Subjects

Potassium and Related Disorders Diabetes Treatment and Management Hyperglycemia and glycemic control in critically ill and hospitalized patients

Publication details

Journal / source
Endocrine Journal
Publisher
Japan Endocrine Society
Volume
73
Issue
9
Pages
1037–1044
Publication date
1 January 2026
Language
EN