Copyright
©The Author(s) 2024.
World J Clin Cases. Apr 26, 2024; 12(12): 2023-2030
Published online Apr 26, 2024. doi: 10.12998/wjcc.v12.i12.2023
Published online Apr 26, 2024. doi: 10.12998/wjcc.v12.i12.2023
Patient profile and assessment | Variable |
Demographic information | Age |
Sex | |
Race | |
Other demographic characteristics of the patient | |
Clinical characteristics | Comorbidities |
Severity of illness scores ( | |
Reason for ICU admission | |
Laboratory values | Creatinine |
Liver function tests | |
Complete blood count | |
Inflammatory markers | |
Vital signs | Heart rate |
Blood pressure | |
Respiratory rate | |
Temperature | |
Medication and treatment | Sedatives |
Analgesics | |
Neuromuscular blocking agents | |
Other medications | |
Mechanical ventilation | Duration of mechanical ventilation |
Mode of ventilation | |
Ventilator settings | |
Muscle strength and function | Assessment of muscle strength ( |
Neurological status | Glasgow coma scale score |
Neurological examination findings | |
Presence of delirium | |
Functional status | Pre-ICU functional status ( |
Outcomes | Development of ICUAW |
Duration of ICU stay | |
Duration of mechanical ventilation | |
Mortality |
- Citation: Ardila CM, González-Arroyave D, Zuluaga-Gómez M. Predicting intensive care unit-acquired weakness: A multilayer perceptron neural network approach. World J Clin Cases 2024; 12(12): 2023-2030
- URL: https://www.wjgnet.com/2307-8960/full/v12/i12/2023.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i12.2023