Unique ID issued by UMIN | UMIN000052143 |
---|---|
Receipt number | R000059511 |
Scientific Title | 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 |
Date of disclosure of the study information | 2023/09/08 |
Last modified on | 2024/12/26 11:54:42 |
An Observational Study on Prediction of Prognosis in Heart Failure Patients by Measuring Respiratory Stability at Night Using a Non-contact Sensor
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
Japan |
heart failure
Cardiology | Rehabilitation medicine | Adult |
Others
NO
The primary objective of this study is to assess whether numerical values obtained non-invasively using piezoelectric sensors to quantify nocturnal respiratory instability in patients hospitalized due to non-compensated heart failure can predict the length of hospital stay, the risk of heart failure readmission, and mortality.
Additionally, we intend to establish appropriate data summarization techniques and cutoff values to ensure the validity of these predictions. This research aims to provide valuable insights into improving the prognosis and risk assessment of non-compensated heart failure patients.
Efficacy
Confirmatory
Pragmatic
Cardiovascular-related deaths within 1 year of discharge
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
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Men and women over 20 years of age hospitalized with heart failure disease
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.
120
1st name | Tetsuroh |
Middle name | |
Last name | Tamaru |
Shinshu University Graduate School
Graduate School of Medicine, Science and Technology, Department of Medical Sciences, Health Science Division
390-0802
3-1 Asahi, Matsumoto City, Nagano Prefecture
0263-37-3376
20ms114h@shinshu-u.ac.jp
1st name | Tetsuroh |
Middle name | |
Last name | Tamaru |
Shinshu University Graduate School
Graduate School of Medicine, Science and Technology, Department of Medical Sciences, Health Science
390-0802
3-1 Asahi, Matsumoto City, Nagano Prefecture
0263-37-3376
20ms114h@shinshu-u.ac.jp
Shinshu university
Tetsuroh Tamaru
None
Self funding
Shinshu university
3-1 Asahi, Matsumoto City, Nagano Prefecture
0263-37-3376
mdrinri@shinshu-u.ac.jp
NO
2023 | Year | 09 | Month | 08 | Day |
Unpublished
No longer recruiting
2022 | Year | 10 | Month | 01 | Day |
2022 | Year | 10 | Month | 11 | Day |
2022 | Year | 10 | Month | 11 | Day |
2025 | Year | 10 | Month | 11 | Day |
Study design: Prospective observational study
Method of recruitment of subjects: All adult patients aged 20 years or older who were admitted to the Department of Cardiology, Nagano Central Hospital, with heart failure disease between October 1, 2022 and March 31, 2024, and who met the selection criteria.
Demographic information: gender, age, height, weight, and BMI
History: atrial fibrillation, other arrhythmia, hypertension, coronary artery disease, valvular heart disease, cardiomyopathy, diabetes, chronic kidney disease
Blood and biochemical tests: sodium, hemoglobin, creatinine, estimated glomerular filtration rate, urea nitrogen, cerebral sodium peptide
Echocardiography:
Chest x-ray
Systolic blood pressure, diastolic blood pressure, pulse rate, SpO2, weight
IV drug information: catecholamine, hump, nitroglycerin, and furosemide use
Oxygen therapy information: flow rate, use or non-use
Physical examination: daily shortness of breath at rest, shortness of breath on exertion, leg edema, peripheral coldness
Exercise tolerance: NYHA classification, activity range:
Respiratory instability at night, mean respiratory rate, and mean pulse rate by piezoelectric sensor:
Body motion sensor: Piezola (Z-work) is used to obtain information on respiratory instability, respiratory rate, and pulse rate from 23:00 to 5:00. Respiratory Rate Variability (R2V), which quantifies respiratory instability, is calculated.
Death during hospitalization, presence or absence of hospitalized central failure exacerbation, all-cause mortality in the year after discharge, cardiac disease-related mortality, readmission due to unplanned cardiac disease, time to readmission, and length of hospital stay.
2023 | Year | 09 | Month | 07 | Day |
2024 | Year | 12 | Month | 26 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059511