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.
Authors
- Alessandra Angelucci (ORCID: https://orcid.org/0000-0001-8266-9346)
- Massimiliano Greco (ORCID: https://orcid.org/0000-0003-1003-4637)
- Maurizio Cecconi (ORCID: https://orcid.org/0000-0002-4376-6538)
- Greta Roncalli (ORCID: https://orcid.org/0009-0006-5424-7051)
- Caterina Reni (ORCID: https://orcid.org/0009-0009-7468-1383)
- Ilaria Pradella (ORCID: https://orcid.org/0009-0006-4004-5862)
- Maddalena Tacconelli
- Andrea Aliverti
Institutions
- Humanitas University (IT)
- IRCCS Humanitas Research Hospital (IT)
- Politecnico di Milano (IT)
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
- Field-Weighted Citation Impact
- 0.00