Clinical correlates of a high cardiorespiratory risk score for very low birth weight infants

被引:2
|
作者
Kausch, Sherry L. [1 ]
Slevin, Claire C. [2 ]
Duncan, Amanda [3 ]
Fairchild, Karen D. [1 ]
Lake, Douglas E. [4 ]
Keim-Malpass, Jessica [5 ]
Vesoulis, Zachary A. [3 ]
Sullivan, Brynne A. [1 ]
机构
[1] Univ Virginia, Sch Med, Dept Pediat, Div Neonatol, Charlottesville, VA 22904 USA
[2] Johns Hopkins Univ, Dept Pediat, Baltimore, MD USA
[3] Washington Univ St Louis, Dept Pediat, Div Newborn Med, St Louis, MO USA
[4] Univ Virginia, Sch Med, Dept Med, Div Cardiol, Charlottesville, VA USA
[5] Univ Virginia, Sch Med, Dept Pediat, Div Hematol, Charlottesville, VA USA
关键词
HEART-RATE CHARACTERISTICS; LATE-ONSET SEPSIS; CROSS-CORRELATION; INFECTION;
D O I
10.1038/s41390-024-03580-y
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
BackgroundA pulse oximetry warning system (POWS) to analyze heart rate and oxygen saturation data and predict risk of sepsis was developed for very low birth weight (VLBW) infants.MethodsWe determined the clinical correlates and positive predictive value (PPV) of a high POWS score in VLBW infants. In a two-NICU retrospective study, we identified times when POWS increased above 6 (POWS spike). We selected an equal number of control times, matched for gestational and chronologic age. We reviewed records for infection and non-infection events around POWS spikes and control times. We calculated the frequencies and PPV of a POWS spike for infection or another significant event.ResultsWe reviewed 111 POWS spike times and 111 control times. Days near POWS spikes were more likely to have clinical events than control days (77% vs 50%). A POWS spike had 52% PPV for suspected or confirmed infection and 77% for any clinically significant event. Respiratory deterioration occurred near more POWS spike times than control times (34% vs 18%).ConclusionsIn a retrospective cohort, infection and respiratory deterioration were common clinical correlations of a POWS spike. POWS had a high PPV for significant clinical events with or without infection.ImpactThere are significant gaps in understanding the best approach to implementing continuous sepsis prediction models so that clinicians can best respond to early signals of deterioration.Infection and respiratory deterioration were common clinical events identified at the time of a high predictive model score.Understanding the clinical correlates of a high-risk early warning score will inform future implementation efforts.
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页数:5
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