Evidence map›Paper›PMID 38055103›Full record

ArticleAnnals of intensive care2023

Predicting extubation in patients with traumatic cervical spinal cord injury using the diaphragm electrical activity during a single maximal maneuver.

Rui Zhang, Xiaoting Xu, Hui Chen, Jennifer Beck, Christer Sinderby, Haibo Qiu, Yi Yang, Ling Liu

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2023. 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
0.6field-weighted citation impact, top 28% 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, 2 citations in OpenAlex.

  1. Review
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

8 authors at 3 institutions in 2 countries.

Rui Zhang *Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine,, Southeast University, Nanjing, 210009, Jiangsu, China.
Xiaoting Xu *Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine,, Southeast University, Nanjing, 210009, Jiangsu, China.
Hui ChenJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine,, Southeast University, Nanjing, 210009, Jiangsu, China.
Jennifer BeckKeenan Research Centre for Biomedical Science of St. Michael's Hospital, Department of Critical Care, St. Michael's Hospital, Toronto, Canada.
Christer SinderbyKeenan Research Centre for Biomedical Science of St. Michael's Hospital, Department of Critical Care, St. Michael's Hospital, Toronto, Canada.
Haibo QiuJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine,, Southeast University, Nanjing, 210009, Jiangsu, China.
Yi YangJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine,, Southeast University, Nanjing, 210009, Jiangsu, China.
Ling LiuJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine,, Southeast University, Nanjing, 210009, Jiangsu, China. liulingdoctor@126.com.
Zhongda Hospital Southeast University · CNSt. Michael's Hospital · CAToronto Metropolitan University · CA

Funding

Clinical Science and Technology Specific Projects of Jiangsu Province BE2020786Jiangsu Provincial Medical Key Laboratory ZDXYS202205National Key R&D Program of China 2022YFC2504405National Natural Science Foundation of China 81870066National Natural Science Foundation of China 82270083Second Level Talents of the "333 High Level Talents Training Project" in the sixth phase in Jiangsu LGY2022025
6 · The paper itself

Abstract

backgroundThe unsuccessful extubation in patients with traumatic cervical spinal cord injuries (CSCI) may result from impairment diaphragm function and monitoring of diaphragm electrical activity (EAdi) can be informative in guiding extubation. We aimed to evaluate whether the change of EAdi during a single maximal maneuver can predict extubation outcomes in CSCI patients.

methodsThis is a retrospective study of CSCI patients requiring mechanical ventilation in the ICU of a tertiary hospital. A single maximal maneuver was performed by asking each patient to inhale with maximum strength during the first spontaneous breathing trial (SBT). The baseline (during SBT before maximal maneuver), maximum (during the single maximal maneuver), and the increase of EAdi (ΔEAdi, equal to the difference between baseline and maximal) were measured. The primary outcome was extubation success, defined as no reintubation after the first extubation and no tracheostomy before any extubation during the ICU stay.

resultsAmong 107 patients enrolled, 50 (46.7%) were extubated successfully at the first SBT. Baseline EAdi, maximum EAdi, and ΔEAdi were significantly higher, and the rapid shallow breathing index was lower in patients who were extubated successfully than in those who failed. By multivariable logistic analysis, ΔEAdi was independently associated with successful extubation (OR 2.03, 95% CI 1.52-3.17). ΔEAdi demonstrated high diagnostic accuracy in predicting extubation success with an AUROC 0.978 (95% CI 0.941-0.995), and the cut-off value was 7.0 μV.

conclusionsThe increase of EAdi from baseline SBT during a single maximal maneuver is associated with successful extubation and can help guide extubation in CSCI patients.

Indexed as

Cervical spinal cord injuryDiaphragm electrical activityExtubationSingle maximal maneuver

Identifiers

PMID38055103
PMCPMC10700269
OpenAlexW4389391197

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.