Evidence map›Paper›PMID 35402462›Full record

ArticleFrontiers in medicine2022

Identification of Serum Biomarkers Associated With Emergence Agitation After General Anesthesia in Adult Patients: A Metabolomics Analysis.

Xinning Mi, Jingshu Hong, Zhengqian Li, Taotao Liu, Qian Wang, Jiansuo Zhou, Yitong Li, Xiaoxiao Wang, Yi Yuan, Ning Yang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
0.3field-weighted citation impact, top 46% of its field
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, 3 citations in OpenAlex.

  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

15 authors at 1 institution in 1 country.

Xinning MiDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Jingshu HongDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Zhengqian LiDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Taotao LiuDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Qian WangDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Jiansuo ZhouDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, China.
Yitong LiDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Xiaoxiao WangResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
Yi YuanDepartment of Anesthesiology, Beijing Jishuitan Hospital, Beijing, China.
Ning YangDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Yongzheng HanDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Yang ZhouDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Xiangyang GuoDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Yue LiDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Dengyang HanDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emergence agitation (EA) is a conscious disturbance after general anesthesia in adult patients that can lead to severe respiratory or circulatory complications and serious physical injury to patients and caregivers. However, the pathophysiological mechanisms underlying EA remain unclear. The present study aimed to identify serum metabolites with significant alterations in EA patients after general anesthesia and enable inferences on their associations with EA. Methods: EA patients were identified by Richmond Agitation-Sedation Scale (RASS) ≥ + 2 among a cohort of adult patients who received elective surgery under general anesthesia in Peking University Third Hospital between 01 June 2020 and 30 December 2020. We further selected sex-, age-, and surgery type-matched non-EA control patients at a 1:1.5 ratio. Postoperative serum samples were collected from both groups of patients. An untargeted metabolic method was used to identify differences in serum metabolomic profiles between the EA patients and the non-EA patients. Results: A total of 19 EA patients and 32 matched non-EA patients were included in the study. After screening and mapping with a database, 12 metabolites showed significant postoperative alterations in EA patients compared with non-EA patients, and were mainly involved in lipid, fatty acid and amino acid metabolism pathways. Receiver operating characteristic curve analyses indicated that vanillic acid, candoxatril, tiglylglycine, 5-methoxysalicylic acid, decanoylcarnitine, and 24-epibrassinolide may be involved in EA pathogenesis after general anesthesia. Conclusion: In this study, we found differences in the serum levels of vanillic acid, candoxatril, tiglylglycine, 5-methoxysalicylic acid, decanoylcarnitine, and 24-epibrassinolide involved in fatty acid metabolism, lipid metabolism, and amino acid metabolism pathways in EA patients compared with non-EA patients, which may demonstrate an EA pathogenesis-associated molecular pattern and contribute toward better understanding of EA occurrence.

Indexed as

decanoylcarnitineemergence agitationgeneral anesthesiapathogenesisserum-matched metabolomics

Identifiers

PMID35402462
PMCPMC8983911
OpenAlexW4220948540

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.