Evaluating Pulse Oximetry Bias in Children With Darker Skin Pigmentation

NCT ID: NCT05617547

Last Updated: 2024-04-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

154 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-08-31

Study Completion Date

2024-10-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

In this prospective study, the investigators will enroll 154 children with arterial lines to determine the accuracy of pulse oximeters in children with darker skin pigmentation. Studies in adults suggest pulse oximeters may overestimate the true level of oxygenation in the blood as measured directly by co-oximetry. However, pediatric data are relatively limited. This study, which is funded by the FDA through the Stanford-UCSF (University of California San Francisco) Clinical Excellence in Regulatory Science and Innovation (CERSI) Program, will determine if the error/bias is associated with skin pigmentation and whether the error falls outside FDA standards. The broader purpose of the study is to work toward eliminating health disparities.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

As a conventional patient vital sign, pulse oximetry is used widely to determine whether a patient is adequately oxygenated. However, studies suggest that peripheral pulse oximetry (Sp02) systematically overestimates the true arterial oxygen saturation (Sa02) in patients with darker skin pigmentation. This error or bias places patients with darker skin pigmentation at considerable risk by failing to detect important levels of hypoxemia that drive critical treatment decisions like medication usage for Severe Acute Respiratory Syndrome (SARS)-COV-2 (COVID) infection, hospital admission, ICU transfer and intubation. Except for the original description of the problem published by Bickler and colleagues in 2005, most studies (including one pediatric study) have been limited to retrospective studies where the racial/ethnic category is used as a proxy for skin pigmentation, so-called "paired" oximetry measurements may be separated by several minutes where the oxygen saturation can readily change, and important technical factors such a perfusion quality, motion artifact, and light transmittance are not reliably documented. This information is critical because emerging studies suggest that perfusion effects, as measured by the perfusion index (PI), may account for much of the error observed in patients with darker pigmentation. The limitations of prior studies can be readily overcome with a prospective study where skin pigmentation is measured objectively and at the location of the oximeter sensor, SpO2/SaO2 (arterial oxygen saturation) measurements are collected nearly simultaneously while at steady state, and technical factors such as perfusion status, transmittance, and temperature can be accurately recorded. This study will enroll 154 children at Stanford's Lucile Packard Children's Hospital to determine whether the mean bias (error) in FDA-cleared pulse oximeters increases with darker skin pigmentation, and whether this error falls outside of the FDA standard of 3%. The primary study hypothesis is that in children ≤21 years of age managed in a real-world hospital setting, the mean bias (error) in FDA-cleared pulse oximeters increases with increased skin pigmentation as measured by colorimetry and standard pigmentation scales (Fitzpatrick and von Luschan pigmentation scales). The secondary hypothesis is that the mean bias is mitigated when technical factors like perfusion index are accounted for in adjusted models. Data generated from this study will help to identify the impact of darker skin pigmentation on medical device performance in the pediatric population and ultimately help eliminate health disparities.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Congenital Heart Disease in Children Cardiomyopathies

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Pulse Oximetry Observational Cohort

Pulse Oximeter (Massimo)

Intervention Type DIAGNOSTIC_TEST

The Massimo LNCS (low noise cabled sensors) pulse oximeter will be used to estimate the oxygen saturation and compared to the gold standard, the arterial oxygen saturation in the blood as measured by co-oximetry. The pulse oximeters is FDA cleared for this purpose so patients will not be exposed to any interventions that are not standard of care.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Pulse Oximeter (Massimo)

The Massimo LNCS (low noise cabled sensors) pulse oximeter will be used to estimate the oxygen saturation and compared to the gold standard, the arterial oxygen saturation in the blood as measured by co-oximetry. The pulse oximeters is FDA cleared for this purpose so patients will not be exposed to any interventions that are not standard of care.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Age ≤21 years of age
2. Requires arterial vascular access as part of routine clinical care
3. Patient or legally authorized representative (LAR) willing to provide written informed consent

Exclusion Criteria

1. Anemia defined as a Hgb \<8 g/dL
2. Methemoglobinemia or carbon monoxide poisoning where the SpO2 is known to be inaccurate
3. Skin condition, such as epidermolysis bullosa, where pulse oximetry not expected to be accurate, or application of skin probes is medically inadvisable
4. Non-pulsatile patients (e.g., left ventricular assist device (LVAD), extracorporeal membrane oxygenation (ECMO)
5. Lack of informed consent
Maximum Eligible Age

21 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Food and Drug Administration (FDA)

FED

Sponsor Role collaborator

University of California, San Francisco

OTHER

Sponsor Role collaborator

Stanford University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Christopher Almond

Professor of Pediatrics

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Lucile Packard Children's Hospital

Palo Alto, California, United States

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

United States

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Christopher S Almond, MD, MPH

Role: CONTACT

650-7237913

Selena Gonzales, MPH

Role: CONTACT

650-723-7913

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Christopher Almond, MD

Role: primary

650-724-2439

Rohan Taneja, MBA

Role: backup

6507242439

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

SU_IRB_66947

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.