M Naguib1, A A el Dawlatly, M Ashour, E A Bamgboye. 1. Department of Anaesthesia, King Saud University, Faculty of Medicine at King Khalid University Hospital, Riyadh, Saudi Arabia. F35A002@SAKSU00
Abstract
PURPOSE: Following transsternal thymectomy, up to 50% of patients may require postoperative ventilation. The aim of this study was to identify the variables most useful in predicting the myasthenic patient who needs postoperative mechanical ventilation. METHODS: We applied multivariate discriminant analysis to preoperative physical, historical, laboratory and intraoperative data of 51 myasthenic patients who underwent transcervical-transsternal thymectomy to select those variables most useful in predicting the postoperative need for mechanical ventilation. The receiver operating characteristic (ROC) curve was also used to describe the discrimination abilities and to explore the trade-offs between sensitivity and specificity of the model. RESULTS: Discriminant analysis identified seven risk factors that correlated with the need for postoperative ventilation: FVC, FEF25-75%, MEF50% and their percentages of the predicted values, as well as, sex. The model correctly predicted the actual ventilatory outcome in 88.2% of patients. The area under the ROC curve verified that our model correctly predicted the actual ventilatory outcome with a probability of 88.2%. CONCLUSIONS: This model can be used for predicting the need for postoperative mechanical ventilation in myasthenia gravis patients.
PURPOSE: Following transsternal thymectomy, up to 50% of patients may require postoperative ventilation. The aim of this study was to identify the variables most useful in predicting the myasthenicpatient who needs postoperative mechanical ventilation. METHODS: We applied multivariate discriminant analysis to preoperative physical, historical, laboratory and intraoperative data of 51 myasthenicpatients who underwent transcervical-transsternal thymectomy to select those variables most useful in predicting the postoperative need for mechanical ventilation. The receiver operating characteristic (ROC) curve was also used to describe the discrimination abilities and to explore the trade-offs between sensitivity and specificity of the model. RESULTS: Discriminant analysis identified seven risk factors that correlated with the need for postoperative ventilation: FVC, FEF25-75%, MEF50% and their percentages of the predicted values, as well as, sex. The model correctly predicted the actual ventilatory outcome in 88.2% of patients. The area under the ROC curve verified that our model correctly predicted the actual ventilatory outcome with a probability of 88.2%. CONCLUSIONS: This model can be used for predicting the need for postoperative mechanical ventilation in myasthenia gravispatients.
Authors: Atakan Tanacan; Erdem Fadiloglu; Gonca Ozten; Ali Can Gunes; Gokcen Orgul; Mehmet Sinan Beksac Journal: Ir J Med Sci Date: 2019-05-09 Impact factor: 1.568
Authors: Miguel Angel Palomero Rodríguez; Teresa Pérez Mencía; Felipe Villar Alvarez; Yolanda Laporta Báez; Gloria María Santos Pérez; Andrés López García Journal: Saudi J Anaesth Date: 2013-01