A clinical prediction model to identify patients at high risk of hemodynamic instability in the pediatric intensive care unit
Abstract Background Early recognition and timely intervention are critical steps for the successful management of shock. The objective of this study was to develop a model to predict requirement for hemodynamic intervention in the pediatric intensive care unit (PICU); thus, clinicians can direct the...
Main Authors: | Cristhian Potes, Bryan Conroy, Minnan Xu-Wilson, Christopher Newth, David Inwald, Joseph Frassica |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-11-01
|
Series: | Critical Care |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13054-017-1874-z |
Similar Items
-
Acute Kidney Injury In Children Admitted In Pediatric Intensive Care Unit
by: Aly ELkazaz, et al.
Published: (2022-07-01) -
Early prediction of hemodynamic interventions in the intensive care unit using machine learning
by: Asif Rahman, et al.
Published: (2021-11-01) -
Hemodynamic Instability during Surgery for Pheochromocytoma: A Retrospective Cohort Analysis
by: Moritz Senne, et al.
Published: (2022-12-01) -
Risk factors for hemodynamic instability during laparoscopic resection of pheochromocytoma
by: Yong-sheng Huang, et al.
Published: (2022-09-01) -
Prediction of Prolonged Hemodynamic Instability During Carotid Angioplasty and Stenting
by: Jong Kook Rhim, et al.
Published: (2016-09-01)