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Physiological Effects of Handling in Moderate to Late Preterm Infants Receiving Neonatal Intensive Care
Nancy Brashear1, Ellen D'Errico, Fayette Nguyen Truax
1School of Nursing (Drs Brashear, D'Errico, and Truax), School of Medicine (Ms Pentecost and Drs Tan and Angeles), and School of Pharmacy (Dr Bahjri), Loma Linda University, Loma Linda, California.
Background:
Of all preterm births, approximately 82% are moderate to late preterm. Moderate to late preterm infants are often treated like full-term infants despite their physiological and metabolic immaturity, increasing their risk for mortality and morbidity.
Purpose:
To describe the relationship between routine caregiving methods and physiological markers of stress and hypoxemia in infants born between 32 and 36 6/7 weeks' gestation.
Methods:
This descriptive study used a prospective observational design to examine the relationship between routine caregiving patterns (single procedure vs clustered care) and physiological markers of stress and hypoxemia such as regional oxygen saturation, quantified as renal and cerebral regional oxygen saturation (StO 2 ), systemic oxygen saturation (Sp o2 ), and heart rate (HR) in moderate to late preterm infants. Renal and cerebral StO 2 was measured using near-infrared spectroscopy during a 6-hour study period. Sp o2 and HR were measured using pulse oximetry.
Results:
A total of 231 procedures were captured in 37 participants. We found greater alterations in cerebral StO 2 , renal StO 2 , Sp o2 , and HR when routine procedures were performed consecutively in clusters than when procedures were performed singly or separately.
Implications For Practice And Research:
Our results suggest that the oxygen saturation and HR of moderate to late preterm infants were significantly altered when exposed to routine procedures that were performed consecutively, in clusters, compared with when exposed to procedures that were performed singly or separately. Adequately powered randomized controlled trials are needed to determine the type of caregiving patterns that will optimize the health outcomes of this vulnerable population.
