Multi-physics Modeling the Physiology of a Patient in Critical Condition

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT02905084

Acronym

Physios

Enrollment

1000

Registered

2016-09-19

Start date

2015-09-30

Completion date

2020-09-30

Last updated

2016-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Patient Care in ICU

Brief summary

The environment of the ICU and operating room allows the multi continuous monitoring of patients in critical situations. The physician anesthesiologist is working more and more in an environment where he receives a multitude of information from both the patient's medical history but also measured data in real time to its physiological situation. It is sometimes difficult for practitioners to consider all of the information by identifying a course of action. A decision support and a degree of automation can increase security along the lines of what has been observed in many processes and industries like aviation. The goal of this project is to establish initially a database of physiological parameters. We want to use patient data to model physiological processes in order to advance towards the creation of physios program,

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Patient in intensive care unit ward

Exclusion criteria

* Patient or familly refusing participating to the study

Design outcomes

Primary

Measure	Time frame
Correlation between high blood pressure measurement during the first 24h in ICU and number of patient alive at 28 days post ICU	28 days

Countries

France

Contacts

Primary ContactSalah Boussen, MD

michelsalah.boussen@ap-hm.fr

Outcome results