An Observational Study on Prediction of Prognosis in Heart Failure Patients by Measuring Respiratory Stability at Night Using a Non-contact Sensor

A Prospective Observational Study on Quantification of Nocturnal Respiratory Stability in Heart Failure Patients Using a Non-contact Sensor for Prediction of Heart Failure Outcome and Validity as an Indicator of Heart Failure Severity - A Prospective Observational Study on Quantification of Nocturnal Respiratory Stability in Heart Failure Patients Using a Non-contact Sensor for Prediction of Heart Failure Outcome and Validity as an Indicator of Heart Failure Severity

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000052143

Enrollment

120

Registered

2023-09-08

Start date

2022-10-11

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

heart failure

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Men and women over 20 years of age hospitalized with heart failure disease

Exclusion criteria

Exclusion criteria: Patients with significant body movements during the night due to cognitive dysfunction, etc. Patients on ASV, NPPV, or other forms of ventilatory support Acute coronary syndrome, chronic obstructive pulmonary disease, pneumonia or other infectious diseases, central nervous system disorders, chronic renal failure with hemodialysis, symptomatic malignancy in the 3 months prior to registration Other conditions for which the principal investigator deems the subject unsuitable.

Design outcomes

Primary

Measure	Time frame
Cardiovascular-related deaths within 1 year of discharge	—

Secondary

Measure	Time frame
Time to all-cause readmission within 1 year of discharge Time to cardiovascular-related readmission within 1 year of discharge Number of days in hospital	—

Countries

Japan

Contacts

Public ContactTetsuroh Tamaru

Shinshu University Graduate School Graduate School of Medicine, Science and Technology, Department of Medical Sciences, Health Science

20ms114h@shinshu-u.ac.jp0263-37-3376

Outcome results