Cheyne-Stokes respiration and periodic breathing have been associated with increased mortality in heart failure patients (1-5). New software has been developed to measure these two respiratory parameters with continuous electrocardiographic (ECG) monitoring. The proposed research will determine whether ECG-derived Cheyne-Stokes respiration and periodic breathing measurements will be valuable to predict risk for [adverse outcomes (cardiopulmonary arrest, acute ventilatory support, acute myocardial infarct, acute stroke and 30 day mortality)] in critically-ill patients treated in an Intensive Care Unit (ICU). It is reported that signs of patient deterioration are likely present hours before a hospital cardiopulmonary arrest (6). The study aims are to measure 24-hour ECG-derived Cheyne-Stokes respiration and periodic breathing to: (a) compare an ICU patient sample with a healthy sample; (b) determine whether these measurements correlate with in-hospital [adverse event] in ICU patients; and (c) describe patterns of hourly rate change in the 24 hours preceding in-ICU [adverse outcome]. The proposed study will involve a secondary analysis of ECG data collected for two prospective studies: 1.) 100 healthy participants who were recruited from January to March of 2013 and who wore a Holter ECG monitor continuously for 24 hrs; and, 2.) 462 adult ICU patients who were continuously monitored with physiologic monitors at Moffitt Hospital, UCSF Medical Center during the month of March 2013. Novel Super ECG software technology (Mortara Instrument, Milwaukee, WI) uses subtle changes in QRS morphology with breathing to calculate Cheyne- Stokes and periodic breathing episodes from Holter ECG monitor data and from hospital physiologic monitor ECG data. Understanding Cheyne-Stokes respiration and periodic breathing patterns in critically-ill patients may identify those who are at greater risk of [adverse outcome] and help clinicians guide their plan of care.

Public Health Relevance

Ill individuals may have irregular breathing patterns called Cheyne-Stokes respiration and periodic breathing, both bad signs showing that the individual is more likely to die (1-5). This study will find out if monitoring for these breathing disorders in critically ill patients gives an early warning sign before their health deteriorates.

Agency
National Institute of Health (NIH)
Institute
National Institute of Nursing Research (NINR)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
1F31NR015196-01A1
Application #
8908956
Study Section
National Institute of Nursing Research Initial Review Group (NRRC)
Program Officer
Banks, David
Project Start
2015-04-01
Project End
2017-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Other Health Professions
Type
Schools of Nursing
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94118
Tinoco, Adelita; Drew, Barbara J; Hu, Xiao et al. (2017) ECG-derived Cheyne-Stokes respiration and periodic breathing in healthy and hospitalized populations. Ann Noninvasive Electrocardiol 22: