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Blood gas ratio may reveal hidden ICU death risk

NCT ID NCT07301359

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This completed study analyzed data from 1,776 adult ICU patients to see if the ratio of oxygen to carbon dioxide in the blood (PaO₂/PaCO₂) is linked to the risk of dying in the ICU, regardless of oxygen levels and blood pressure. Researchers used the MIMIC-II database to look for patterns. The goal is to find a simple tool that might help doctors identify high-risk patients earlier.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If the ratio proves useful, it could help doctors better predict which ICU patients are at highest risk of dying, potentially guiding earlier or more aggressive care.
What could go wrong
This is an observational study using an old database (MIMIC-II), so it can only show associations, not cause and effect. The findings may not apply to all ICU patients or hospitals.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

1,776 people

The number who actually took part.

Started

Mar 2015

Finished

Mar 2016

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

This study included adult patients admitted to intensive care units (ICUs) represented in the Medical Information Mart for Intensive Care II (MIMIC-II) database, a large, publicly available critical care database developed by the Massachusetts Institute of Technology (MIT) in collaboration with Beth Israel Deaconess Medical Center (BIDMC). The database contains detailed, de-identified clinical data from patients admitted to the BIDMC ICUs between 2001 and 2008. All adult (≥18 years) ICU patients with at least one arterial blood gas measurement containing both arterial oxygen tension (PaO₂) and arterial carbon dioxide tension (PaCO₂) were eligible for inclusion. For each included ICU stay, corresponding measurements of oxygen saturation (SpO₂) and mean arterial pressure (MAP) were also extracted to allow adjustment for oxygenation and hemodynamic status. Patients were excluded if they lacked valid PaO₂ or PaCO₂ measurements, had missing ICU mortality data, or had physiologically impla

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion criteria Adult patients (≥ 18 years old) at time of ICU admission. Rationale: Restrict to adult physiology and consent/ethics comparability. First ICU stay during hospital admission (index ICU admission). Rationale: Avoid within-hospital dependency and repeated measures bias. ICU admission captured in the MIMIC-II dataset between the database start and end dates. Rationale: Use all eligible records within the dataset timeframe. At least one arterial blood gas (ABG) measurement with both PaO₂ and PaCO₂ available during the ICU stay. Rationale: Primary exposure is PaO₂/PaCO₂ ratio; require both values to compute it. Available outcome data for ICU mortality (discharge status from ICU). Rationale: Necessary to ascertain primary endpoint. Available SpO₂ and mean arterial pressure (MAP) measurements in the same ICU stay (for confounder adjustment). Rationale: Study aims to evaluate independence from SpO₂ and MAP; require at least one measurement of each during the stay. (If either is missing, see handling below.) Exclusion criteria Age \< 18 years. Rationale: Exclude pediatric physiology. Missing or unusable arterial blood gas values (PaO₂ or PaCO₂ absent or non-numeric) for the ICU stay. Rationale: Cannot compute exposure. No recorded ICU outcome (missing ICU discharge status) or lost/invalid mortality data. Rationale: Cannot determine primary outcome. Extreme or physiologically implausible ABG values that suggest data error (e.g., PaO₂ ≤ 0 mmHg, PaCO₂ ≤ 0 mmHg, or PaO₂ \> 1000 mmHg or PaCO₂ \> 300 mmHg - thresholds may be tightened after exploratory data review). Rationale: Remove likely data-entry errors. Document thresholds and perform sensitivity analysis. Patients on extracorporeal life support (ECMO) during ABG measurement (if identifiable in MIMIC-II). Rationale: ECMO profoundly alters gas exchange and PaO₂/PaCO₂ physiology; consider exclusion or separate subgroup. Repeat ICU admissions within the same hospital stay beyond the index admission (if you choose to restrict to single index admission). Rationale: Prevent correlated observations - include only the first ICU stay per hospital admission. ICU stays with no recorded SpO₂ or MAP at any time (if you insist on requiring these for adjustment). Rationale: If primary models must adjust for SpO₂ and MAP, exclude records without those covariates or plan appropriate imputation. Do-not-resuscitate (DNR)/comfort-care only status recorded before ABG measurement (optional exclusion depending on study question). Rationale: Treatment limitation orders can confound mortality associations; you may choose instead to adjust or analyze separately.

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