Determining an Optimal Oxygen Saturation Target Range Based on Neonatal Maturity: Demonstration of a Decision Tree Analytic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F23%3A00372462" target="_blank" >RIV/68407700:21460/23:00372462 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/diagnostics13213312" target="_blank" >https://doi.org/10.3390/diagnostics13213312</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/diagnostics13213312" target="_blank" >10.3390/diagnostics13213312</a>
Alternative languages
Result language
angličtina
Original language name
Determining an Optimal Oxygen Saturation Target Range Based on Neonatal Maturity: Demonstration of a Decision Tree Analytic
Original language description
The utility of decision tree machine learning in exploring the interactions among the SpO2 target range, neonatal maturity, and oxemic-risk is demonstrated. METHODS: This observational study used 3 years of paired age-SpO2-PaO2 data from a neonatal ICU. The CHAID decision tree method was used to explore the interaction of postmenstrual age (PMA) on the risk of extreme arterial oxygen levels at six different potential SpO2 target ranges (88-92%, 89-93%, 90-94%, 91-95%, 92-96% and 93-97%). Risk was calculated using a severity-weighted average of arterial oxygen outside the normal range for neonates (50-80 mmHg). RESULTS: In total, 7500 paired data points within the potential target range envelope were analyzed. The two lowest target ranges were associated with the highest risk, and the ranges of 91-95% and 92-96% were associated with the lowest risk. There were shifts in the risk associated with PMA. All the target ranges showed the lowest risk at >= 42 weeks PMA. The lowest risk for preterm infants was within a target range of 92-96% with a PMA of <= 34 weeks. CONCLUSIONS: This study demonstrates the utility of decision tree analytics. These results suggest that SpO2 target ranges that are different from typical range might reduce morbidity and mortality. Further research, including prospective randomized trials, is warranted.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Diagnostics
ISSN
2075-4418
e-ISSN
2075-4418
Volume of the periodical
13
Issue of the periodical within the volume
21
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
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UT code for WoS article
001100208400001
EID of the result in the Scopus database
2-s2.0-85176408470