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©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
Table 1 Strengths and weaknesses of existing approaches to predicting intensive care unit-acquired weakness
| Approach | Strengths | Weaknesses |
| Clinical assessment | Clinicians can use clinical signs and symptoms to assess the risk of ICUAW, which is a non-invasive and readily available method | Clinical signs and symptoms may not be sensitive or specific enough to accurately predict ICUAW |
| Electrophysiological Testing | Electrophysiological tests, such as electromyography and nerve conduction studies, can provide objective measures of muscle function and help diagnose ICUAW | Electrophysiological tests are invasive, time-consuming, and may not be feasible in critically ill patients |
| Biomarkers | Biomarkers, such as creatine kinase and myosin light chain, can indicate muscle damage and may be useful for diagnosing ICUAW | Biomarkers are not specific to ICUAW and may be elevated in other conditions |
| Muscle ultrasound | Muscle ultrasound can provide information about muscle thickness and echogenicity, which can be altered in patients with ICUAW | The interpretation of ultrasound findings can be subjective, and the technique may be operator-dependent |
Table 2 Variety of clinical and demographic variables collected from patients admitted to the intensive care unit
| 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
