Evidence map›Paper›PMID 42339518›Full record

Observational studyKorean journal of anesthesiology2026

Easy DAO2 index: a novel hemodynamic risk factor for predicting mortality in surgical and critically ill patients.

Da-In Eun, Hyeonhoon Lee, Hyung-Chul Lee

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Korean journal of anesthesiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Da-In EunInterdisciplinary Program in Medical Informatics, Seoul National University, Seoul, Korea.
Hyeonhoon LeeHealthcare AI Research Institute, Seoul National University Hospital, Seoul, Korea.
Hyung-Chul LeeInterdisciplinary Program in Medical Informatics, Seoul National University, Seoul, Korea. vital@snu.ac.kr.

Funding

Korea Health Industry Development InstituteMinistry of Health and Welfare RS-2024-00403047Ministry of Health and Welfare RS-2024-00439677
6 · The paper itself

Abstract

backgroundMeasurement of the arterial oxygen delivery index (DAO2I) requires substantial medical resources and invasive procedures. We proposed a novel hemodynamic parameter reflecting DAO2I, the Easy DAO2 index (EDI), and examined its association with mortality in non-cardiac surgical and critically ill patients.

methodsWe retrospectively analyzed the data of 95,115 surgical cases from an Asian hospital and 90,420 intensive care unit (ICU) admissions from multicenter hospitals in the United States. EDI was the product of pulse pressure, heart rate, hemoglobin, and peripheral oxygen saturation, divided by body surface area, measured every 5 minutes during anesthesia and hourly for 24 hours post-ICU admission. We assessed the association between 7-day in-hospital mortality and duration of exposure to EDI values below the fifth percentile levels.

resultsIn non-cardiac surgical patients, mortality risk increased with duration of exposure below the low EDI threshold (adjusted odds ratio [aOR] 1.003 per minute; 95% CI [1.000-1.005]). In critically ill patients, mortality risk increased with duration of exposure below the low EDI threshold (aOR 1.014 per hour; 95% CI [1.004-1.023]).

conclusionsLow EDI values were independently associated with mortality in non-cardiac surgical and critically ill patients, suggesting that EDI may be a useful hemodynamic parameter for risk assessment.

Indexed as

Critical IllnessHemodynamicsHospital MortalityOxygenOxygen SaturationSurgical Procedures, OperativeAgedFemaleHumansMalePredictive Value of TestsRetrospective StudiesRisk FactorsOxygenCritical careHemodynamic monitoringMean arterial pressureMortalityPerfusionPulse pressure.

Identifiers

PMID42339518
PMCPMC13624821

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.