Ignite Creation Date:
2025-12-25 @ 12:16 AM
Ignite Modification Date:
2026-01-02 @ 10:07 PM
Study NCT ID:
NCT02915458
Status:
UNKNOWN
Last Update Posted:
2018-07-24
First Post:
2016-07-19
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Predictive Analysis Software for Successful Weaning From Ventilator of Patients
Sponsor:
Chang Gung Memorial Hospital
Organization:
Study Overview
Official Title:
Predictive Analysis Software for Successful Weaning From Ventilator of Patients in Critical Condition
Status:
UNKNOWN
Status Verified Date:
2018-07
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Making a weaning decision for a patient on a mechanical ventilator is an important clinical issue. The most common index to predict successful weaning is the rapid shallow breathing index (RSBI), however, the accuracy of RSBI to predict successful weaning have been questioned.
The investigators proposed a new mathematical model and algorithm, called WIN, which capture the essential feature of the variability ruling the physiological dynamics to provides better perdition to wean than RSBI.
The investigators proposed a new mathematical model and algorithm, called WIN, which capture the essential feature of the variability ruling the physiological dynamics to provides better perdition to wean than RSBI.
Detailed Description:
Making a weaning decision for a patient on a mechanical ventilator is an important clinical issue.
It is thus important to decide accurately when patients can be weaned from the ventilator. To increase the weaning success, the present common practice is to conduct spontaneous breathing trials to get physiological signals that may provide the information about capacity of successful weaning. The most common index is the rapid shallow breathing index (RSBI), however, the accuracy of RSBI to predict successful weaning have been questioned. Weaning failure usually results from a complex interplay of multiple factors. Thus, predictors targeting a single pathophysiologic mechanism tend to be unreliable for heterogeneous abnormalities.
The investigators proposed a new mathematical model and algorithm, which capture the essential feature of the variability ruling the physiological dynamics. Through the modern adaptive signal processing techniques, the investigators develop an index called WIN, which is evaluated from the 5 minutes continuous physiological signal and provides better perdition to wean than RSBI in a retrospective analysis. In this study, the investigators evaluate the predictive power of WIN and RSBI prospectively in patients undergoing weaning prospectively.
It is thus important to decide accurately when patients can be weaned from the ventilator. To increase the weaning success, the present common practice is to conduct spontaneous breathing trials to get physiological signals that may provide the information about capacity of successful weaning. The most common index is the rapid shallow breathing index (RSBI), however, the accuracy of RSBI to predict successful weaning have been questioned. Weaning failure usually results from a complex interplay of multiple factors. Thus, predictors targeting a single pathophysiologic mechanism tend to be unreliable for heterogeneous abnormalities.
The investigators proposed a new mathematical model and algorithm, which capture the essential feature of the variability ruling the physiological dynamics. Through the modern adaptive signal processing techniques, the investigators develop an index called WIN, which is evaluated from the 5 minutes continuous physiological signal and provides better perdition to wean than RSBI in a retrospective analysis. In this study, the investigators evaluate the predictive power of WIN and RSBI prospectively in patients undergoing weaning prospectively.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: