BOLD, a blood-gas and oximetry linked dataset

Pulse oximeters measure peripheral arterial oxygen saturation (SpO2) noninvasively, while the gold standard involves arterial blood gas measurement (SaO2). 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, particularly affecting people with darker skin tones. The dataset was created by harmonizing three Electronic Health Record databases (MIMIC-III, MIMIC-IV, eICU-CRD) comprising Intensive Care Unit stays. Paired SpO2 and SaO2 measurements were time-aligned and combined with various other clinical parameters to provide a detailed picture of each patient. It includes 49,099 such paired measurements within a 5-minute window, with oxygen saturation levels between 70-100%. Significantly, about 25% of the data represents minority racial and ethnic groups, a proportion seldom achieved in previous studies. The code scripts have been made publicly available to facilitate replication.We hope that BOLD is poised to be a valuable resource for health equity studies, that can be used to develop pulse oximetry debiasing algorithms.脉搏血氧仪（Pulse oximeters）可无创测量外周动脉血氧饱和度（peripheral arterial oxygen saturation, SpO2），而临床金标准检测方法为动脉血气测量（arterial blood gas measurement, SaO2）。现有研究已证实，该类设备的性能表现存在明确的种族与民族差异。BOLD是一款全新的综合性数据集，旨在凸显纠正脉搏血氧仪准确性偏差的重要性——此类偏差对深肤色人群的影响尤为突出。该数据集通过统一标准化三类电子健康档案（Electronic Health Record）数据库（MIMIC-III、MIMIC-IV、eICU-CRD）中的重症监护病房（Intensive Care Unit, ICU）住院数据构建而成。研究人员将成对的SpO2与SaO2测量值进行时间对齐，并结合多种其他临床参数，以完整呈现每位患者的临床全貌。数据集包含49099组5分钟窗口内的成对测量数据，血氧饱和度取值范围为70%至100%。尤为关键的是，约25%的数据来自少数种族与民族群体，这一比例在既往同类研究中鲜有达到。相关代码脚本已公开发布，以方便研究人员复现实验。我们期望BOLD能够成为健康公平研究领域的宝贵资源，可用于研发脉搏血氧仪偏差校正算法。

搜集汇总

背景与挑战

背景概述

BOLD数据集是一个专注于脉搏血氧仪（SpO2）与动脉血气测量（SaO2）配对的数据集，旨在解决脉搏血氧仪在深肤色人群中存在的性能偏差问题，促进健康公平研究。该数据集整合了来自三个ICU电子健康记录数据库（MIMIC-III、MIMIC-IV、eICU-CRD）的49,099对测量值，时间窗口为5分钟，并包含约25%的少数种族和民族数据，同时提供了生命体征、实验室值和临床评分等辅助信息，以支持全面的患者分析。