In This Study, the Sponsor Would Like to Collaborate with Institution and Investigator to Aggregate Participants Data and to Pilot Its Software Algorithm Using Machine Learning and Threshold Based Methods for Predicting Exacerbations and Deterioration Within a 60 Days Period Post-discharge

NCT ID: NCT06798688

Last Updated: 2025-01-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

20 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-03-01

Study Completion Date

2025-07-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

In this study, the sponsor would like to collaborate with Institution and Investigator to aggregate participants data and to pilot its software algorithm using machine learning and threshold based methods for predicting exacerbations and deterioration within a 60 days period post-discharge.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

COPD

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

A non-invasive cardio-respiratory sensor will be applied on the subjects to measure parameters to identify exacerbations

This Study aims to pilot software algorithms based on respiratory features and hemodynamics for predicting exacerbations on a total of 20 participants with COPD. The end-points of this Study includes the following:

1. To validate respiratory-based biomarkers in models to predict exacerbations - benchmarking to be done versus physician assess exacerbations, emergency department visits, hospitalizations and any other visit.
2. To validate level of compliance, drop-out rate and if additional measures are required to get participants to follow-on

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Subject age 18 or older
2. Receives all primary and specialty care at Institution
3. Participants will be enrolled at discharge (and not designate hospital or ED)
4. A history of one of the following diagnoses:

a. c. Chronic obstructive pulmonary disease
5. At least two documented exacerbations of the above disease in the past 12 months as defined by the following corresponding criteria:

a. Chronic obstructive pulmonary disease exacerbation: all three of (1) increase in frequency and severity or severity of cough, (2) increase in volume and/or change of character of sputum production, and (3) increase in dyspnea, and requiring treatment with short-acting bronchodilators, antibiotics, and oral or intravenous glucocorticoids.
6. Participants able to provide informed consent.
7. Participants will be enrolled at discharge (and not designate hospital or ED)

Exclusion Criteria

1. Participants with neuromuscular diseases and seizures
2. Participants enrolled in hospice care or life expectancy less than three months.
3. Participants living more than 60 miles away from Institution and Investigator
4. Participants with expected out of state travel within a 30-day period or travel to a location with no internet access.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Respiree Pte Ltd

INDUSTRY

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Gurpreet Singh Singh

Role: CONTACT

6590617570

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2025-001

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.