A Decision for Predicting Successful Extubation of Patients in Intensive Care Unit
| Autor: | Shu-Chin Chang, Ching-Ter Chang, Chung-Shu Lee, Chang-Shu Tu, Chih-Hao Chang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Article Subject medicine.medical_treatment Taiwan lcsh:Medicine Airway Extubation Logistic regression General Biochemistry Genetics and Molecular Biology law.invention 03 medical and health sciences 0302 clinical medicine Risk Factors law Intubation Intratracheal Humans Medicine Intubation Aged Mechanical ventilation General Immunology and Microbiology business.industry Mortality rate lcsh:R 030208 emergency & critical care medicine General Medicine Length of Stay Middle Aged Respiration Artificial Intensive care unit Intensive Care Units 030228 respiratory system Emergency medicine Rapid shallow breathing index Female business Ventilator Weaning Respiratory minute volume Research Article |
| Zdroj: | BioMed Research International, Vol 2018 (2018) BioMed Research International |
| ISSN: | 2314-6133 |
| DOI: | 10.1155/2018/6820975 |
| Popis: | Approximately 40% of patients admitted to the medical intensive care unit (ICU) require mechanical ventilation. An accurate prediction of successful extubation in patients is a key clinical problem in ICU due to the fact that the successful extubation is highly associated with prolonged ICU stay. The prolonged ICU stay is also associated with increasing cost and mortality rate in healthcare system. This study is retrospective in the aspect of ICU. Hence, a total of 41 patients were selected from the largest academic medical center in Taiwan. Our experimental results show that predicting successful rate of 87.8% is obtained from the proposed predicting function. Based on several types of statistics analysis, including logistic regression analysis, discriminant analysis, and bootstrap method, three major successful extubation predictors, namely, rapid shallow breathing index, respiratory rate, and minute ventilation, are revealed. The prediction of successful extubation function is proposed for patients, ICU, physicians, and hospital for reference. |
| Databáze: | OpenAIRE |
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