Clinical trial NCT02184208: Retrospective Review of Mechanically Ventilated Patients Using a Continuous Data Collection System.
Official title: Retrospective Review of Mechanically Ventilated Patients
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Mechanical Ventilation
Acute Respiratory Distress Syndrome
Hypoxic Respiratory Failure
Keywords: ARDS
ALI
mechanical ventilation
Lead sponsor: Boston Children's Hospital
Sponsor class: OTHER
First posted: 2014-07-09
Enrollment: 278
Sex: ALL
Minimum age (years): 1
Maximum age (years): 35
Standard ages: CHILD
ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: All mechanically ventilated patients in our medical surgical ICU.

Brief summary: Today, the electronic medical record, microprocessor mechanical ventilators, and physiologic monitoring are under-utilized when translating research into decision support. Current medical informatic capabilities can be leveraged to calculate trends in measured parameters to initiate a paradigm shift in critical care from reaction-based treatment to proactive and plausibly preventative care. Therefore, the purpose of this study is to develop baseline understanding of our practice and how data collection utilizing a newly implemented system called T3. We would like to retrospectively review mechanically ventilated patients in which we have collected continuous data to test a newly developed analytic platform. Additionally we would like to compare these results to our standards of practice established by clinical practice guidelines.


Eligibility criteria: Inclusion Criteria:

* Patient selection will be determined by available data collected in the T3 system. We estimate 50 patients in which mechanical ventilator data has been collected utilizing the limited intellibridge modules (4 systems currently available to collect ventilator data).

Exclusion Criteria:

* Patient not connected to T3 data collection system.

Primary outcomes:
measure: Successful Extubation
timeFrame: Within 24 hours of extubation
Secondary outcomes:
Other outcomes:
Locations:
city: Boston
country: United States
facility: Boston Children's Hospital
state: Massachusetts
Study officials:
References:
citation: Castineira D, Schlosser KR, Geva A, Rahmani AR, Fiore G, Walsh BK, Smallwood CD, Arnold JH, Santillana M. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach. Respir Care. 2020 Sep;65(9):1367-1377. doi: 10.4187/respcare.07561.
citation: Walsh BK, Smallwood C, Rettig J, Kacmarek RM, Thompson J, Arnold JH. Daily Goals Formulation and Enhanced Visualization of Mechanical Ventilation Variance Improves Mechanical Ventilation Score. Respir Care. 2017 Mar;62(3):268-278. doi: 10.4187/respcare.04873. Epub 2017 Jan 10.
citation: Walsh BK, Smallwood CD, Rettig JS, Thompson JE, Kacmarek RM, Arnold JH. Categorization in Mechanically Ventilated Pediatric Subjects: A Proposed Method to Improve Quality. Respir Care. 2016 Sep;61(9):1168-78. doi: 10.4187/respcare.04723. Epub 2016 Jun 14.