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Pregled bibliografske jedinice broj: 1279075

Analyzing big data: could the ROX index predict risk for intubation in a surgical patient receiving NIV/CPAP?


Lijović, Lada; Kovač, Nataša; Krolo-Videka, Helena; Horvat, Ana; Radočaj, Tomislav; Elbers, Paul
Analyzing big data: could the ROX index predict risk for intubation in a surgical patient receiving NIV/CPAP? // European Journal of Anaesthesiology, Volume 40 | e- Supplement 61 | June 2023 / Samama, Charles M. (ur.).
Hagerstown, NJ: Wolters Kluwer, 2023. str. 2-3 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1279075 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Analyzing big data: could the ROX index predict risk for intubation in a surgical patient receiving NIV/CPAP?

Autori
Lijović, Lada ; Kovač, Nataša ; Krolo-Videka, Helena ; Horvat, Ana ; Radočaj, Tomislav ; Elbers, Paul

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
European Journal of Anaesthesiology, Volume 40 | e- Supplement 61 | June 2023 / Samama, Charles M. - Hagerstown, NJ : Wolters Kluwer, 2023, 2-3

Skup
Euroanaesthesia 2023

Mjesto i datum
Glasgow, Ujedinjeno Kraljevstvo, 03.06.2023. - 05.06.2023

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
BigData, ROX, non-invasive ventilation, CPAP

Sažetak
Background and goal of study: The ROX index is defined as the ratio of SpO2 measured by pulse oximetry/FiO2 to respiratory rate. It is used as predictor of the need for intubation in patients receiving HFNC oxygen therapy, but not yet validated for NIV/CPAP ventilation. The goal of this study is to determine if the ROX index could predict risk for intubation in surgical patients receiving NIV/CPAP mask ventilation. Materials and Methods: Patient data was extracted from freely available AmsterdamUMC ICU database containing data from a 32- bed mixed surgical- medical academic ICU with 1 billion clinical data points related to 23106 admissions between 2003 and 2016. We selected patients that were non- invasively mechanically ventilated and extracted their demographic data (age, sex, BMI) and SOFA score at admission, as well as ROX index from 2 hour window mean values of SpO2, RR and FiO2 for the first 12 hours of ventilation. Results and Discussion: From 20106 patients, a cohort of 1075 NIV patients using CPAP/PS modes were identified. We excluded patients that received NIV ventilation after an episode of intubation (n=47) and patients that were intubated more than 24 hours after NIV episode (n=53). Final dataset consisted of 975 patients, 190 were intubated within 24 hours NIV ventilation start. Patient demographic data was similar between intubated and non- intubated group (Table 1). Conclusion(s): Analysing a large database of surgical patients, we found that ROX index significantly correlates with the need for intubation after 4 hours of NIV/CPAP ventilation. ROX index could be a good predictor for intubation in surgical patients receiving NIV CPAP/PS ventilation.

Izvorni jezik
Engleski



POVEZANOST RADA


Profili:

Avatar Url Nataša Kovač (autor)

Avatar Url Tomislav Radočaj (autor)

Avatar Url Lada Lijović (autor)

Avatar Url Ana Horvat (autor)

Poveznice na cjeloviti tekst rada:

www.esaic.org

Citiraj ovu publikaciju:

Lijović, Lada; Kovač, Nataša; Krolo-Videka, Helena; Horvat, Ana; Radočaj, Tomislav; Elbers, Paul
Analyzing big data: could the ROX index predict risk for intubation in a surgical patient receiving NIV/CPAP? // European Journal of Anaesthesiology, Volume 40 | e- Supplement 61 | June 2023 / Samama, Charles M. (ur.).
Hagerstown, NJ: Wolters Kluwer, 2023. str. 2-3 (poster, međunarodna recenzija, sažetak, znanstveni)
Lijović, L., Kovač, N., Krolo-Videka, H., Horvat, A., Radočaj, T. & Elbers, P. (2023) Analyzing big data: could the ROX index predict risk for intubation in a surgical patient receiving NIV/CPAP?. U: Samama, C. (ur.)European Journal of Anaesthesiology, Volume 40 | e- Supplement 61 | June 2023.
@article{article, author = {Lijovi\'{c}, Lada and Kova\v{c}, Nata\v{s}a and Krolo-Videka, Helena and Horvat, Ana and Rado\v{c}aj, Tomislav and Elbers, Paul}, editor = {Samama, C.}, year = {2023}, pages = {2-3}, keywords = {BigData, ROX, non-invasive ventilation, CPAP}, title = {Analyzing big data: could the ROX index predict risk for intubation in a surgical patient receiving NIV/CPAP?}, keyword = {BigData, ROX, non-invasive ventilation, CPAP}, publisher = {Wolters Kluwer}, publisherplace = {Glasgow, Ujedinjeno Kraljevstvo} }
@article{article, author = {Lijovi\'{c}, Lada and Kova\v{c}, Nata\v{s}a and Krolo-Videka, Helena and Horvat, Ana and Rado\v{c}aj, Tomislav and Elbers, Paul}, editor = {Samama, C.}, year = {2023}, pages = {2-3}, keywords = {BigData, ROX, non-invasive ventilation, CPAP}, title = {Analyzing big data: could the ROX index predict risk for intubation in a surgical patient receiving NIV/CPAP?}, keyword = {BigData, ROX, non-invasive ventilation, CPAP}, publisher = {Wolters Kluwer}, publisherplace = {Glasgow, Ujedinjeno Kraljevstvo} }




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