Patients admitted to intensive care Other
Conditions
Interventions
This is a multi-centre observational cohort study of adult patients admitted to ICUs with an embedded feasibility study and exploratory qualitative study. The study will be split into several sub-stud
Sponsors
University of Oxford
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Retrospective dataset: Adult patients admitted to a general adult intensive care unit at one or more of the study sites between 1st December 2015 and 31st January 2025 inclusive Prospective dataset: Adult patients admitted to a general adult intensive care unit at one or more of the study sites between 1st September 2025 to 30th November 2027 inclusive
Exclusion criteria
Exclusion criteria: 1. Patients that have informed their participating site that they do not wish their electronic records to be used for this study (study-specific dissent) 2. Patients who have opted out in the National Data Opt-Out
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To develop a machine-learning prediction model for ICU readmission, cardiac arrest, or death following ICU discharge, routinely collected data will be used to assemble a bespoke retrospective database containing clinical outcomes including: - Admission times, medical/surgical speciality, age, gender, ethnicity, mortality, ward locations/transfers - Vital signs recording systems (e.g., blood pressure, heart rate) - Intensive care patient records - Laboratory information - Medicines administered - Blood gas analysis - Electrocardiogram systems - Echocardiogram systems - Microbiology and virology - Pathology - General Practice (GP) summary or record systems | — |
Secondary
| Measure | Time frame |
|---|---|
| To test the feasibility of continuously monitoring vital signs (heart rate, oxygen saturation, temperature and blood pressure) and actigraphy in ward patients discharged from ICU, and to validate the performance of the model developed in the primary outcome: 1. Heart rate is measured using wearable continuous monitoring devices and spot-check devices at 12-hour intervals during the first 14 days post-ICU discharge or until hospital discharge and at 12-hour (continuous) or 24-hour (spot-check) intervals for 14 days post-hospital discharge 2. Oxygen saturation is measured using wearable continuous monitoring devices and spot-check devices at 12-hour intervals during the first 14 days post-ICU discharge or until hospital discharge and at 12-hour (continuous) or 24-hour (spot-check) intervals for 14 days post-hospital discharge 3. Temperature is measured using wearable continuous monitoring devices and spot-check devices at 12-hour intervals during the first 14 days post-ICU discharge or until hospital discharge and at 12-hour (continuous) or 24-hour (spot-check) intervals for 14 days post-hospital discharge 4. Blood pressure is measured using wearable continuous monitoring devices and spot-check devices at 12-hour intervals during the first 14 days post-ICU discharge or until hospital discharge and at 12-hour (continuous) or 24-hour (spot-check) intervals for 14 days post-hospital discharge 5. Physical activity is measured using actigraphy devices at 12-hour intervals during the first 14 days post-ICU discharge or until hospital discharge and at 12-hour intervals for 14 days post-hospital discharge 6. Falls are measured using actigraphy-based fall detection algorithms at 12-hour intervals during the first 14 days post-ICU discharge or until hospital discharge and at 12-hour intervals for 14 days post-hospital discharge | — |
Countries
England, United Kingdom
Contacts
Public ContactSarah Vollam
Outcome results
None listed