Mohamed, M., Mohamed, M., Ahmed, M. (2019). Nursing Assessment for Predictors of Failed Weaning Among Prolonged Mechanically Ventilated Patients. Assiut Scientific Nursing Journal, 7(16), 13-23. doi: 10.21608/asnj.2019.58102
Mahmoud Ahmed Mohamed; Mona Aly Mohamed; Mona. Abd Elaziem Ahmed. "Nursing Assessment for Predictors of Failed Weaning Among Prolonged Mechanically Ventilated Patients". Assiut Scientific Nursing Journal, 7, 16, 2019, 13-23. doi: 10.21608/asnj.2019.58102
Mohamed, M., Mohamed, M., Ahmed, M. (2019). 'Nursing Assessment for Predictors of Failed Weaning Among Prolonged Mechanically Ventilated Patients', Assiut Scientific Nursing Journal, 7(16), pp. 13-23. doi: 10.21608/asnj.2019.58102
Mohamed, M., Mohamed, M., Ahmed, M. Nursing Assessment for Predictors of Failed Weaning Among Prolonged Mechanically Ventilated Patients. Assiut Scientific Nursing Journal, 2019; 7(16): 13-23. doi: 10.21608/asnj.2019.58102
Nursing Assessment for Predictors of Failed Weaning Among Prolonged Mechanically Ventilated Patients
1Clinical instructor at Assuit technical institute of health, Egypt
2Assistant professor of critical care nursing, faculty of nursing Assuit university, Egypt
3Lecturer of critical care nursing, faculty of nursing Assuit, university,Egypt
Abstract
Background: For adult patients with prolonged mechanical ventilation (PMV≥7 days), weaning success is an important prognostic factor in patients requiring prolonged mechanical ventilation. Weaning failure has been attributed to various factors. The aim: of the study was to identify factors contributing to long term mechanical ventilation. A Descriptive research design was adopted to conduct this study. The study was conducted in the intensive and trauma care units at Assuit university. A convenient sample: of sixty adult male and female patients admitted to mentioned settings and connected to MV. Tools: Tool one: socio-gemograghic data and clinical data, Tool two: weaning criteria scale, Tool three APACHE II score Tool four: Neurological assessment by using FOUR score. Results: the most common risk factors delay weaning were cardiovascular (66%) and neuromuscular (54.2%). Conclusion: a highly statistically significant relation was found regarding to factors as age, length of ICU stays, RSBI, PH, hemoglobin, WBCs, platelets count and respiratory rate. Recommendations: 1-good monitoring of the cardiovascular assessment with cardiologists 2- the weaning indexes have some limitations, related to study population 3- integration with other departments should be morely supported.
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