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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

Software Algorithm Using Machine Learning and Threshold Based Methods for Predicting Exacerbations and Deterioration

NCT06798688•Respiree Pte Ltd

Summary

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.

Eligibility

Age

18 - No limit years

Sex

ALL

Healthy Volunteers

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.

Key Dates

Start Date

March 1, 2025

Primary Completion Date

July 1, 2025

Completion Date

July 1, 2025

Last Updated

January 29, 2025

Enrollment

ESTIMATED participants

Conditions

COPD

Interventions

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

DEVICE

Contacts

Gurpreet Singh Singh

CONTACT

6590617570 gurpreet@respiree.com

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: January 29, 2025Data synced to Clareo: March 29, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.

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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

Inclusion Criteria

Exclusion Criteria

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Effect of Telenursing on Oral Health

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