Evaluation of the ROX index for predicting intubation in ICU patients

BACKGROUND: The ROX index was proposed as a decision-support tool to assess the effectiveness of high-flow oxygen therapy (HFOT) in patients with acute hypoxemic respiratory failure (AHRF) affected by pneumonia. OBJECTIVE: The purpose of this work was to assess the discriminative power of the ROX index across heterogeneous intensive care unit (ICU) populations. As a secondary, hypothesis-generating objective, we explored whether ROX-based risk stratification may provide a standardized reference for describing variability in observed intubation practices across datasets and centers. METHODS: ≥ 6 for conventional oxygen therapy (COT) and ≥ 30 for HFOT. All AHRF patients were initially considered, regardless of the underlying pathology, with a subgroup analysis performed in patients with pneumonia. ROX index predictions were compared with actual intubation rates in different datasets, and alternative thresholds were explored using Youden's method. RESULTS: In the primary three-category analysis, ROX risk strata produced only modest likelihood ratios (LRs) for observed intubation. In the merged cohorts, high-risk ROX categories showed LR values ranging from 1.36 to 2.06, whereas low-risk categories showed LR values close to 1, ranging from 0.85 to 0.90. Binary cut-off analyses confirmed limited discrimination, with AUROC values between 0.56 and 0.64. CONCLUSIONS: When applied across heterogeneous real-world populations, the ROX index shows limited discriminative ability for predicting intubation and should not be used as a standalone decision tool. However, it may serve as a standardized reference to explore variability in intubation practices across centers, particularly in retrospective analyses.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2026-06-26
DOI
https://doi.org/10.1016/j.ijmedinf.2026.106560
Primary Topic
Respiratory Support and Mechanisms
Type
article
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article

Evaluation of the ROX index for predicting intubation in ICU patients

Alessandra Angelucci, Massimiliano Greco, Maurizio Cecconi, Greta Roncalli et al.
International Journal of Medical Informatics
Respiratory Support and Mechanisms
article

Evaluation of the ROX index for predicting intubation in ICU patients

Alessandra Angelucci, Massimiliano Greco, Maurizio Cecconi, Greta Roncalli, Caterina Reni, Ilaria Pradella, Maddalena Tacconelli, Andrea Aliverti
article en

Abstract

BACKGROUND: The ROX index was proposed as a decision-support tool to assess the effectiveness of high-flow oxygen therapy (HFOT) in patients with acute hypoxemic respiratory failure (AHRF) affected by pneumonia. OBJECTIVE: The purpose of this work was to assess the discriminative power of the ROX index across heterogeneous intensive care unit (ICU) populations. As a secondary, hypothesis-generating objective, we explored whether ROX-based risk stratification may provide a standardized reference for describing variability in observed intubation practices across datasets and centers. METHODS: ≥ 6 for conventional oxygen therapy (COT) and ≥ 30 for HFOT. All AHRF patients were initially considered, regardless of the underlying pathology, with a subgroup analysis performed in patients with pneumonia. ROX index predictions were compared with actual intubation rates in different datasets, and alternative thresholds were explored using Youden's method. RESULTS: In the primary three-category analysis, ROX risk strata produced only modest likelihood ratios (LRs) for observed intubation. In the merged cohorts, high-risk ROX categories showed LR values ranging from 1.36 to 2.06, whereas low-risk categories showed LR values close to 1, ranging from 0.85 to 0.90. Binary cut-off analyses confirmed limited discrimination, with AUROC values between 0.56 and 0.64. CONCLUSIONS: When applied across heterogeneous real-world populations, the ROX index shows limited discriminative ability for predicting intubation and should not be used as a standalone decision tool. However, it may serve as a standardized reference to explore variability in intubation practices across centers, particularly in retrospective analyses.

International Journal of Medical InformaticsVol. 219
Humanitas University (IT), IRCCS Humanitas Research Hospital (IT), Politecnico di Milano (IT)
Reduced inequalities
Openalex Percentile: Top 7%
Respiratory Support and Mechanisms
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