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1.
An Acad Bras Cienc ; 96(2): e20231164, 2024.
Article in English | MEDLINE | ID: mdl-38747799

ABSTRACT

Intensive Care Unit-acquired weakness (ICU-AW) is a common complication that significantly impedes patient recovery. In the study, we investigated the correlation between early serum myoglobin levels in patients with septic shock due to pneumonia, and the incidence of ICU-AW, duration of mechanical ventilation, and prognosis. Patients were classified based on the development of ICU-AW within the first 10 days of ICU admission. We measured serum myoglobin levels upon ICU entry, and analyzed demographic data, APACHE II scores, use of mechanical ventilation, and clinical outcomes, including mortality and duration of mechanical ventilation. The results indicated significantly elevated serum myoglobin levels in the ICU-AW group, correlated with prolonged mechanical ventilation and increased mortality. ROC analysis revealed myoglobin as a promising biomarker for predicting ICU-AW, with an area under the curve of 0.843 (95% CI: 0.819~0.867), demonstrating a sensitivity of 76.00% and specificity of 82.30%. These findings underscored serum myoglobin as a predictive biomarker for early ICU-AW in septic shock patients, highlighting its potential to guide clinical decision-making.


Subject(s)
Biomarkers , Intensive Care Units , Muscle Weakness , Myoglobin , Shock, Septic , Humans , Shock, Septic/blood , Myoglobin/blood , Male , Female , Middle Aged , Biomarkers/blood , Prognosis , Muscle Weakness/blood , Aged , Incidence , Respiration, Artificial , APACHE , ROC Curve
2.
World J Clin Cases ; 12(7): 1235-1242, 2024 Mar 06.
Article in English | MEDLINE | ID: mdl-38524515

ABSTRACT

BACKGROUND: Intensive care unit-acquired weakness (ICU-AW) is a common complication that significantly impacts the patient's recovery process, even leading to adverse outcomes. Currently, there is a lack of effective preventive measures. AIM: To identify significant risk factors for ICU-AW through iterative machine learning techniques and offer recommendations for its prevention and treatment. METHODS: Patients were categorized into ICU-AW and non-ICU-AW groups on the 14th day post-ICU admission. Relevant data from the initial 14 d of ICU stay, such as age, comorbidities, sedative dosage, vasopressor dosage, duration of mechanical ventilation, length of ICU stay, and rehabilitation therapy, were gathered. The relationships between these variables and ICU-AW were examined. Utilizing iterative machine learning techniques, a multilayer perceptron neural network model was developed, and its predictive performance for ICU-AW was assessed using the receiver operating characteristic curve. RESULTS: Within the ICU-AW group, age, duration of mechanical ventilation, lorazepam dosage, adrenaline dosage, and length of ICU stay were significantly higher than in the non-ICU-AW group. Additionally, sepsis, multiple organ dysfunction syndrome, hypoalbuminemia, acute heart failure, respiratory failure, acute kidney injury, anemia, stress-related gastrointestinal bleeding, shock, hypertension, coronary artery disease, malignant tumors, and rehabilitation therapy ratios were significantly higher in the ICU-AW group, demonstrating statistical significance. The most influential factors contributing to ICU-AW were identified as the length of ICU stay (100.0%) and the duration of mechanical ventilation (54.9%). The neural network model predicted ICU-AW with an area under the curve of 0.941, sensitivity of 92.2%, and specificity of 82.7%. CONCLUSION: The main factors influencing ICU-AW are the length of ICU stay and the duration of mechanical ventilation. A primary preventive strategy, when feasible, involves minimizing both ICU stay and mechanical ventilation duration.

3.
Zhongguo Yi Liao Qi Xie Za Zhi ; 44(3): 194-198, 2020 Mar 08.
Article in Chinese | MEDLINE | ID: mdl-32621424

ABSTRACT

In order to evaluate the biomechanical stability of titanium alloy screw with different structural parameters under bone remodeling, some three-dimensional finite element models were established and the bone remodeling process after implanting the screw was simulated. Three-dimensional finite element models consist of bone and screw with different lengths and diameters. Bone remodeling process was simulated by user-defined subroutine. It is found that the stress on the bone is concentrated on the groove and root of the internal thread. The screw stress is mainly on the beginning of the thread, and the whole stress decreases along the long axis of the screw. The stress distribution trend of bone and screw did not change significantly during the bone remodeling. The maximum equivalent stress value was different, the maximum equivalent stress on the screw and cancellous bone increased while the maximum equivalent stress value on the cortical bone decreased.


Subject(s)
Bone Remodeling , Bone Screws , Biomechanical Phenomena , Finite Element Analysis , Stress, Mechanical , Titanium
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