Evidence map›Paper›PMID 36926323›Full record

ArticleFrontiers in medicine2023

Exploration of a nomogram prediction model of 30-day survival in adult ECMO patients.

Liangwen Cui, Yutao Zha, Cheng Zhang, Hui Zhang, Chao Yu, Huang Rui, Min Shao, Nian Liu

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Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Extracorporeal Membrane Oxygenation for Acute Respiratory Failure in a Dog.Animals : an open access journal from MDPI · 2025
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4 · The record

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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

8 authors.

Liangwen CuiDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yutao ZhaDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Cheng ZhangDepartment of Anhui Provincial Cancer Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Hui ZhangAnhui Maternal and Child Health Hospital, Hefei, China.
Chao YuDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Huang RuiDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Min ShaoDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Nian LiuDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the factors of 30-day survival in ECMO patients, establish a nomogram model, and evaluate the predictive value of the model. Methods: A total of 105 patients with extracorporeal membrane oxygenation (ECMO) were admitted to the Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, from January 2018 to March 2021. Cox regression analysis screened out the risk factors. Based on the results of multivariate analysis, the nomogram model was established by using R software, and the discrimination of the model was verified by bootstrap and calibration. Results: The results showed that sex, acute physiology and chronic health evaluation (APACHE) II score, disseminated intravascular coagulation (DIC) score before ECMO initiation and average daily dose of norepinephrine were independent risk factors for prognosis. Verify that the nomogram model is verified by bootstrap internally, and the corrected C-index is C-index: 0.886, showing a good degree of discrimination. The calibration curve (calibration) showed that the nomogram model had good agreement. The decision curve analysis(DCA) curve shows good clinical validity above the two extreme curves. Kaplan-Meier curves were drawn for patients in the tertile and compared with the first and second groups. The third group predicted the worst 30-day prognosis for ECMO patients. Conclusion: The nomogram prediction model constructed based on the sex, APACHE II and DIC score, average daily dose of norepinephrine can effectively screen out the factors affecting the prognosis and provide a reference for individualized treatment of ECMO patients.

Indexed as

critical care medicineextracorporeal membrane oxygenationnomogram modelprognosissurvival

Identifiers

PMID36926323
PMCPMC10011074

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