The purpose of this retrospective study is to evaluate the clinical performance of Vital-PICASO, an artificial intelligence-based biological signal analysis software designed to predict the risk of hypoxia within 24 hours using vital-sign data from adult general ward inpatients.
Electronic medical record data from patients aged 19 years or older who were admitted to a general ward at Seoul National University Hospital will be retrospectively reviewed. Hypoxia will be evaluated using two separate reference-standard criteria: oxygen saturation below 94% and administration of oxygen at 4 L/min or more.
Eligible hypoxia-positive and hypoxia-negative datasets will be randomly selected. The selected vital-sign datasets will be analyzed using Vital-PICASO while the device operator is blinded to the reference-standard classification. The software-generated hypoxia risk scores will be compared with the reference-standard classifications to evaluate predictive performance. Because the study uses previously collected medical records, there is no direct participant contact and the software results will not affect patient care.
Inclusion Criteria:
General Criteria
SpO2-Based Hypoxia-Positive Group
SpO2-Based Hypoxia-Negative Group
Oxygen-Treatment-Based Hypoxia-Positive Group
Oxygen-Treatment-Based Hypoxia-Negative Group
Exclusion Criteria:
Adult general ward inpatient data meeting the SpO2-based hypoxia criterion, defined as oxygen saturation below 94% in the general ward. Vital-sign data collected for up to 72 hours before the first eligible hypoxia event were included. If the event occurred within 24 hours after admission or transfer to the general ward, all available vital-sign data recorded before the event were included. Only the first eligible event per patient was selected for this criterion.
Adult general ward inpatient data from patients who did not experience hypoxia during the selected general ward admission and that served as the comparator group for the SpO2-based analysis. Data were randomly selected from the same general wards as the positive group and from a time interval comparable with the hypoxia-event reference time or from up to 72 hours after admission to the general ward. Only one eligible data interval was selected per patient.
Adult general ward inpatient data meeting the oxygen-treatment-based hypoxia criterion, defined as administration of oxygen at a flow rate of 4 L/min or more in the general ward. Vital-sign data collected for up to 72 hours before the first eligible oxygen-treatment event were included. If the event occurred within 24 hours after admission or transfer to the general ward, all available vital-sign data recorded before the event were included. Only the first eligible event per patient was selected for this criterion.
Adult general ward inpatient data from patients who did not experience hypoxia during the selected general ward admission and that served as the comparator group for the oxygen-treatment-based analysis. Data were randomly selected from the same general wards as the positive group and from a time interval comparable with the hypoxia-event reference time or from up to 72 hours after admission to the general ward. Only one eligible data interval was selected per patient. The same negative datasets could also be used in the SpO2-based analysis.
Seoul, South Korea
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