RT Journal Article
T1 Longitudinal Analysis of Continuous Pulse Oximetry as Prognostic Factor in Neonatal Respiratory Distress
A1 Solís García, Gonzalo
A1 Maderuelo Rodríguez, Elena
A1 Pérez Pérez, Teresa
A1 Torres Soblechero, Laura
A1 Gutiérrez Vélez, Ana
A1 Ramos Navarro, Cristina
A1 López Martínez, Raúl
A1 Sánchez Luna, Manuel Ramón
AB Objective: Analysis of longitudinal data can provide neonatologists with tools that can help predict clinical deterioration and improve outcomes. The aim of this study is to analyze continuous monitoring data in newborns, using vital signs to develop predictive models for intensive care admission and time to discharge.Study design: We conducted a retrospective cohort study, including term and preterm newborns with respiratory distress patients admitted to the neonatal ward. Clinical and epidemiological data, as well as mean heart rate and saturation, at every minute for the first 12 hours of admission were collected. Multivariate mixed, survival and joint models were developed.Results: A total of 56,377 heart rate and 56,412 oxygen saturation data were analyzed from 80 admitted patients. Of them, 73 were discharged home and 7 required transfer to the intensive care unit (ICU). Longitudinal evolution of heart rate (p < 0.01) and oxygen saturation (p = 0.01) were associated with time to discharge, as well as birth weight (p < 0.01) and type of delivery (p < 0.01). Longitudinal heart rate evolution (p < 0.01) and fraction of inspired oxygen at admission at the ward (p < 0.01) predicted neonatal ICU (NICU) admission.Conclusion: Longitudinal evolution of heart rate can help predict time to transfer to intensive care, and both heart rate and oxygen saturation can help predict time to discharge. Analysis of continuous monitoring data in patients admitted to neonatal wards provides useful tools to stratify risks and helps in taking medical decisions.Key points: · Continuous monitoring of vital signs can help predict and prevent clinical deterioration in neonatal patients.. · In our study, longitudinal analysis of heart rate and oxygen saturation predicted time to discharge and intensive care admission.. · More studies are needed to prospectively prove that these models can helpmake clinical decisions and stratify patients' risks..
PB Thieme Gruppe
SN 0735-1631
SN 1098-8785
YR 2020
FD 2020-10-19
LK https://hdl.handle.net/20.500.14352/99315
UL https://hdl.handle.net/20.500.14352/99315
LA eng
NO Solís-García G, Maderuelo-Rodríguez E, Perez-Pérez T, Torres-Soblechero L, Gutiérrez-Vélez A, Ramos-Navarro C, López-Martínez R, Sánchez-Luna M. Longitudinal Analysis of Continuous Pulse Oximetry as Prognostic Factor in Neonatal Respiratory Distress. Am J Perinatol. 2022 Apr;39(6):677-682. doi: 10.1055/s-0040-1718877
DS Docta Complutense
RD 24 ago 2024