The Predictive Values of Respiratory Rate Oxygenation Index and Chest Computed Tomography Severity Score for High-Flow Nasal Oxygen Failure in Critically Ill Patients with Coronavirus Disease-2019.


Journal

Balkan medical journal
ISSN: 2146-3131
Titre abrégé: Balkan Med J
Pays: Turkey
ID NLM: 101571817

Informations de publication

Date de publication:
14 03 2022
Historique:
entrez: 25 3 2022
pubmed: 26 3 2022
medline: 31 3 2022
Statut: ppublish

Résumé

The prediction of high-flow nasal oxygen (HFNO) failure in patients with coronavirus disease-2019 (COVID-19) having acute respiratory failure (ARF) may prevent delayed intubation and decrease mortality. To define the related risk factors to HFNO failure and hospital mortality. Retrospective cohort study. To this study, 85 critically ill patients (≥18 years) with COVID-19 related acute kidney injury who were treated with HFNO were enrolled. Treatment success was defined as the de-escalation of the oxygenation support to the conventional oxygen therapies. HFNO therapy failure was determined as the need for invasive mechanical ventilation or death. The patients were divided into HFNO-failure (HFNO-F) and HFNO-success (HFNO-S) groups. Electronic medical records and laboratory data were screened for all patients. Respiratory rate oxygenation (ROX) index on the first hour and chest computed tomography (CT) severity score were calculated. Factors related to HFNO therapy failure and mortality were defined. This study assessed 85 patients (median age 67 years, 69.4% male) who were divided into two groups as HFNO success (n = 33) and HFNO failure (n = 52). The respiratory rate oxygenation (ROX) was measured at 1 hour and the computed tomography (CT) score indicated HFNO failure and intubation, with an area under the receiver operating characteristic of 0.695 for the ROX index and 0.628 for the CT score. A ROX index of <3.81 and a CT score of >15 in the first hour of therapy were the predictors of HFNO failure and intubation. Age, Acute Physiology and Chronic Health Evaluation II score, arterial blood gas findings "(i.e., partial pressure of oxygen [PaO The early prediction of HFNO therapy failure is essential considering the high mortality rate in patients with HFNO therapy failure. Using the ROX index and the chest CT severity score combined with the other clinical parameters may reduce mortality. Additionally, multi-centre observational studies are needed to define the predictive value of ROX and chest CT score not only for COVID-19 but also other causes of ARF.

Sections du résumé

Background
The prediction of high-flow nasal oxygen (HFNO) failure in patients with coronavirus disease-2019 (COVID-19) having acute respiratory failure (ARF) may prevent delayed intubation and decrease mortality.
Aims
To define the related risk factors to HFNO failure and hospital mortality.
Study Design
Retrospective cohort study.
Methods
To this study, 85 critically ill patients (≥18 years) with COVID-19 related acute kidney injury who were treated with HFNO were enrolled. Treatment success was defined as the de-escalation of the oxygenation support to the conventional oxygen therapies. HFNO therapy failure was determined as the need for invasive mechanical ventilation or death. The patients were divided into HFNO-failure (HFNO-F) and HFNO-success (HFNO-S) groups. Electronic medical records and laboratory data were screened for all patients. Respiratory rate oxygenation (ROX) index on the first hour and chest computed tomography (CT) severity score were calculated. Factors related to HFNO therapy failure and mortality were defined.
Results
This study assessed 85 patients (median age 67 years, 69.4% male) who were divided into two groups as HFNO success (n = 33) and HFNO failure (n = 52). The respiratory rate oxygenation (ROX) was measured at 1 hour and the computed tomography (CT) score indicated HFNO failure and intubation, with an area under the receiver operating characteristic of 0.695 for the ROX index and 0.628 for the CT score. A ROX index of <3.81 and a CT score of >15 in the first hour of therapy were the predictors of HFNO failure and intubation. Age, Acute Physiology and Chronic Health Evaluation II score, arterial blood gas findings "(i.e., partial pressure of oxygen [PaO
Conclusion
The early prediction of HFNO therapy failure is essential considering the high mortality rate in patients with HFNO therapy failure. Using the ROX index and the chest CT severity score combined with the other clinical parameters may reduce mortality. Additionally, multi-centre observational studies are needed to define the predictive value of ROX and chest CT score not only for COVID-19 but also other causes of ARF.

Identifiants

pubmed: 35330565
doi: 10.4274/balkanmedj.galenos.2021.2021-7-32
pmc: PMC8941223
doi:

Substances chimiques

Oxygen S88TT14065

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

140-147

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Auteurs

Murat Küçük (M)

Department of Internal Medicine, Division of Intensive Care, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Begüm Ergan (B)

Department of Pulmonary and Critical Care, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Mehmet Nuri Yakar (MN)

Department of Anaesthesiology and Reanimation, Division of Intensive Care and Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Bişar Ergün (B)

Department of Internal Medicine, Division of Intensive Care, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Yunus Akdoğan (Y)

Department of Statistics, Faculty of Science, Selçuk University, Konya, Turkey.

Ali Cantürk (A)

Department of Radiology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Naciye Sinem Gezer (NS)

Department of Radiology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Fahreddin Kalkan (F)

Department of Actuarial Sciences, Faculty of Science, Selçuk University, Konya, Turkey.

Erdem Yaka (E)

Department of Neurology, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Bilgin Cömert (B)

Department of Internal Medicine, Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

Necati Ali Gökmen (NA)

Department of Anaesthesiology and Reanimation, Division of Intensive Care and Faculty of Medicine, Dokuz Eylül University, İzmir, Turkey.

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