The Journal of Critical Care Medicine (Jul 2024)
Development of a Machine Learning-Based Model for Predicting the Incidence of Peripheral Intravenous Catheter-Associated Phlebitis
- Yasuda Hideto,
- Rickard Claire M.,
- Mimoz Olivier,
- Marsh Nicole,
- Schults Jessica A,
- Drugeon Bertrand,
- Kashiura Masahiro,
- Kishihara Yuki,
- Shinzato Yutaro,
- Koike Midori,
- Moriya Takashi,
- Kotani Yuki,
- Kondo Natsuki,
- Sekine Kosuke,
- Shime Nobuaki,
- Morikane Keita,
- Abe Takayuki
Affiliations
- Yasuda Hideto
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan
- Rickard Claire M.
- School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of Queensland, QLD, Australia
- Mimoz Olivier
- CHU de Poitiers, Emergency Department and prehospital care, Poitiers, France
- Marsh Nicole
- School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of Queensland, QLD, Australia
- Schults Jessica A
- School of Nursing, Midwifery and Social Work, UQ Centre for Clinical Research, The University of Queensland, QLD, Australia
- Drugeon Bertrand
- CHU de Poitiers, Emergency Department and prehospital care, Poitiers, France
- Kashiura Masahiro
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan
- Kishihara Yuki
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan
- Shinzato Yutaro
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan
- Koike Midori
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan
- Moriya Takashi
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saimata Medical Center, Saitama, Japan
- Kotani Yuki
- Department of Intensive Care Medicine, Kameda Medical Center, Chiba, Japan
- Kondo Natsuki
- Department of Emergency Medicine, Koga Community Hospital, Shizuoka, Japan
- Sekine Kosuke
- Department of Medical Engineer, Kameda Medical Center, Chiba, Japan
- Shime Nobuaki
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- Morikane Keita
- Division of Clinical Laboratory and Infection Control, Yamagata University Hospital, Yamagata, Japan
- Abe Takayuki
- Biostatistics, Clinical and Translational Research Center, Keio University School of Medicine, Tokyo, Japan
- DOI
- https://doi.org/10.2478/jccm-2024-0028
- Journal volume & issue
-
Vol. 10,
no. 3
pp. 232 – 244
Abstract
Early and accurate identification of high-risk patients with peripheral intravascular catheter (PIVC)-related phlebitis is vital to prevent medical device-related complications.
Keywords
