Evidence map›Paper›PMID 40745346›Full record

ArticleJournal of intensive care2025

Optimal mean arterial pressure for favorable neurological outcomes in patients after cardiac arrest.

Sijin Lee, Kwang-Sig Lee, Kap Su Han, Juhyun Song, Sung Woo Lee, Su Jin Kim

Abstract read
In one paragraph

Article in Journal of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Observational
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

6 authors.

Sijin LeeDepartment of Emergency Medicine, Korea University College of Medicine & Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-9556-0665
Kwang-Sig LeeAI Center, Korea University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-0576-0098
Kap Su HanDepartment of Emergency Medicine, Korea University College of Medicine & Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0205-1269
Juhyun SongDepartment of Emergency Medicine, Korea University College of Medicine & Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6217-7360
Sung Woo LeeDepartment of Emergency Medicine, Korea University College of Medicine & Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4492-0258
Su Jin KimDepartment of Emergency Medicine, Korea University College of Medicine & Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, Republic of Korea. icarusksj@korea.ac.kr.ORCID http://orcid.org/0000-0003-3769-9647

Funding

National Research Foundation of Korea RS-2024-00344842
6 · The paper itself

Abstract

backgroundOptimal mean arterial pressure (MAP) range after cardiac arrest remains uncertain. This study aimed to investigate the association between MAP and neurological outcomes during the early post-resuscitation period, with the goal of identifying optimal MAP range associated with favorable outcomes.

methodsThis retrospective observational study included 291 post-cardiac arrest patients treated at a tertiary care center. Five machine learning models to predict favorable neurological outcomes using hourly MAP measurements during the first 24 h after return of spontaneous circulation (ROSC) were compared and Random Forest model was selected due to its superior performance. Variable importance and Shapley Additive exPlanations (SHAP) were used to investigate the association between MAP and favorable neurological outcomes. SHAP dependence plots were used to identify optimal MAP ranges associated with favorable outcomes. In addition, individual-level predictions were interpreted using local interpretable model-agnostic explanations (LIME) and SHAP force plots.

resultsMachine learning analysis showed that MAP were associated with favorable neurological outcomes, with higher variable importance during the first 6 h after ROSC. SHAP analysis revealed an inverted U-shaped relationship between MAP and favorable neurological outcomes, with an optimal threshold of 79.56 mmHg (IQR: 73.70-82.54). This threshold remained consistent across both early (1-6 h: 79.26 mmHg) and later (7-24 h: 80.09 mmHg) hours. Individual-level explanations using SHAP and LIME highlighted that maintaining higher MAP during the early post-resuscitation period contributed positively to outcome predictions.

conclusionsMachine learning analysis identified MAP as a major predictor of favorable neurological outcomes, with higher variable importance during the first 6 h after ROSC. MAP showed an inverted U-shaped relationship with favorable neurological outcomes, with an optimal threshold of approximately 80 mmHg.

Indexed as

Cardiac arrestExplainable machine learningMean arterial pressureNeurological outcomesPost-cardiac arrest care

Identifiers

PMID40745346
PMCPMC12315296

What Socratic holds

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LicenceCC BY
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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 Socratic graph.