Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011:2011:5515-8.
doi: 10.1109/IEMBS.2011.6091407.

Predictive monitoring for early detection of subacute potentially catastrophic illnesses in critical care

J Randall Moorman  1 , Craig E Rusin, Hoshik Lee, Lauren E Guin, Matthew T Clark, John B Delos, John Kattwinkel, Douglas E Lake
Affiliations

Predictive monitoring for early detection of subacute potentially catastrophic illnesses in critical care

J Randall Moorman et al. Annu Int Conf IEEE Eng Med Biol Soc. 2011.

Abstract

We wish to save lives of patients admitted to ICUs. Their mortality is high enough based simply on the severity of the original injury or illness, but is further raised by events during their stay. We target those events that are subacute but potentially catastrophic, such as infection. Sepsis, for example, is a bacterial infection of the bloodstream, that is common in ICU patients and has a >25% risk of death. Logically, early detection and treatment with antibiotics should improve outcomes. Our fundamental precepts are (1) some potentially catastrophic medical and surgical illnesses have subclinical phases during which early diagnosis and treatment might have life-saving effects, (2) these phases are characterized by changes in the normal highly complex but highly adaptive regulation and interaction of the nervous system and other organs such as the heart and lungs, (3) teams of clinicians and quantitative scientists can work together to identify clinically important abnormalities of monitoring data, to develop algorithms that match the clinicians' eye in detecting abnormalities, and to undertake the clinical trials to test their impact on outcomes.

PubMed Disclaimer

Figures

Figure 1
Figure 1
NICU stays for all University of Virginia (UVa) infants: the right hand axis gives the status of the infant. Death=death in NICU; NICU=NICU days; D/C= discharge
Figure 2
Figure 2
Heat map of respiratory support: the right hand axis relates the color to the level of support, with warmer colors denoting more invasive or vigorous support
Figure 3
Figure 3
Heat map of HeRO scores: the right hand axis relates the color to the score, with warmer colors denoting higher risk of imminent illness
Figure 4
Figure 4
Respiratory and HeRO map of a single infant.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Addison K, Griffin MP, Moorman JR, Lake DE, O'Shea TM. Heart rate characteristics and neurodevelopmental outcome in very low birth weight infants. J Perinatol. 2009 - PMC - PubMed
    1. Aghili AA, Rizwan, Griffin MP, Moorman JR. Scaling and ordering of neonatal heart rate variability. Phys Rev Lett. 1995;74:1254–1257. - PubMed
    1. Buchman TG, Stein PK, Goldstein B. Heart rate variability in critical illness and critical care. CurrOpinCrit Care. 2002;8:311–315. - PubMed
    1. Cao H, Lake DE, Griffin MP, Moorman JR. Increased nonstationarity of neonatal heart rate before the clinical diagnosis of sepsis. Ann Biomed Eng. 2004;32:233–244. - PubMed
    1. Chang KL, Monahan KJ, Griffin MP, Lake D, Moorman JR. Comparison and application of frequency domain methods in analysis of neonatal heart rate time series. Ann Biomed Eng. 2001;29:764–774. - PubMed

Publication types