MedTrace Logo

Predictive Analysis Software for Successful Weaning From Ventilator of Patients

NCT02915458 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 188

Last updated 2018-07-24

No results posted yet for this study

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.

Conditions

  • Weaning Failure

Sponsors & Collaborators

  • Chang Gung Memorial Hospital

    lead OTHER

Principal Investigators

  • Yu-Lun Lo, MD · Chang Gung Memorial Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-01-31
Primary Completion
2018-12-31
Completion
2018-12-31

Countries

  • Taiwan

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02915458 on ClinicalTrials.gov