Identification of subphenotypes during the transition from controlled mechanical ventilation to spontaneous breathing using machine learning

Identification of subphenotypes during the transition from controlled mechanical ventilation to spontaneous breathing using machine learning - transition_spont

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00039096

Enrollment

800

Registered

2026-01-27

Start date

2026-02-01

Completion date

Unknown

Last updated

2026-02-02

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

Conditions

acute respiratory insufficiency mechanical ventilation J80 J96

Interventions

Group 1: As this is a retrospective, non-interventional study, no intervention or control group is defined in the conventional sense. The study population comprises adult patients receiving invasive m

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Eligible participants are adult patients (=18 years) who received invasive mechanical ventilation for more than 48 hours using a Hamilton C6 ventilator and were in the transition phase between controlled mechanical ventilation and spontaneous breathing.

Exclusion criteria

Exclusion criteria: Patients younger than 18 years, those ventilated for 48 hours or less, patients receiving exclusively non-invasive ventilation or high-flow oxygen therapy, patients ventilated with devices other than the Hamilton C6, patients with insufficient routine clinical data, or those with relevant treatment limitations are excluded.

Design outcomes

Primary

Measure	Time frame
Primary endpoints include the identification of clinical subphenotypes during the transition phase, in-hospital mortality, and successful liberation from mechanical ventilation (weaning success). Data are collected retrospectively from existing electronic clinical information systems of Hannover Medical School. Only routinely documented intensive care treatment data are used; no study-specific data collection or intervention is performed.	—

Measure

Time frame

Primary endpoints include the identification of clinical subphenotypes during the transition phase, in-hospital mortality, and successful liberation from mechanical ventilation (weaning success). Data are collected retrospectively from existing electronic clinical information systems of Hannover Medical School. Only routinely documented intensive care treatment data are used; no study-specific data collection or intervention is performed.

—

Secondary

Measure	Time frame
Secondary endpoints include indicators of spontaneous breathing effort, ventilation-related course parameters, ICU and hospital length of stay, reintubation and rescue therapy rates, and associations between clinical variables and identified subphenotypes.	—

Countries

Germany

Contacts

Public ContactJona Wassong

Medizinische Hochschule Hannover

wassong.jona@mh-hannover.de+49 176 15323518

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 7, 2026