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[Preprint]. 2023 Oct 3:2023.10.03.23296485.
doi: 10.1101/2023.10.03.23296485.

BOLD: Blood-gas and Oximetry Linked Dataset - Open Source Research

BOLD: Blood-gas and Oximetry Linked Dataset - Open Source Research

João Matos et al. medRxiv. .

Update in

  • BOLD: Blood-gas and Oximetry Linked Dataset.
    Matos J, Struja T, Gallifant J, Nakayama L, Charpignon ML, Liu X, Economou-Zavlanos N, S Cardoso J, Johnson KS, Bhavsar N, Gichoya J, Celi LA, Wong AI. Matos J, et al. Sci Data. 2024 May 24;11(1):535. doi: 10.1038/s41597-024-03225-z. Sci Data. 2024. PMID: 38789452 Free PMC article.

Abstract

Pulse oximeters measure peripheral arterial oxygen saturation (SpO 2 ) noninvasively, while the gold standard (SaO 2 ) involves arterial blood gas measurement. There are known racial and ethnic disparities in their performance. BOLD is a new comprehensive dataset that aims to underscore the importance of addressing biases in pulse oximetry accuracy, which disproportionately affect darker-skinned patients. The dataset was created by harmonizing three Electronic Health Record databases (MIMIC-III, MIMIC-IV, eICU-CRD) comprising Intensive Care Unit stays of US patients. Paired SpO 2 and SaO 2 measurements were time-aligned and combined with various other sociodemographic and parameters to provide a detailed representation of each patient. BOLD includes 49,099 paired measurements, within a 5-minute window and with oxygen saturation levels between 70-100%. Minority racial and ethnic groups account for ∼25% of the data - a proportion seldom achieved in previous studies. The codebase is publicly available. Given the prevalent use of pulse oximeters in the hospital and at home, we hope that BOLD will be leveraged to develop debiasing algorithms that can result in more equitable healthcare solutions.

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