Evidence map›Paper›PMID 38087209›Full record

ArticleBMC pulmonary medicine2023

Use of a combination of diaphragmatic ultrasound and muscle relaxation monitoring in predicting post-extubation adverse respiratory events among elderly patients in an anesthesia intensive care unit.

Lun Huang, Bo Xia, Lei Cheng, Xian-Wen Hu, Li-Dong Zheng, Feng Cheng

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Observational
  3. 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 at 2 institutions in 1 country.

Lun HuangGraduate Department, Bengbu Medical College, Bengbu, 233030, China.
Bo XiaGraduate Department, Bengbu Medical College, Bengbu, 233030, China.
Lei ChengDepartment of Anesthesiology, Lu'an Hospital of Anhui Medical University, No. 21 of Wanxi West Road, Lu'an, 237005, China.
Xian-Wen HuDepartment of Anesthesiology, The Second Hospital of Anhui Medical University, Hefei, 230601, China.
Li-Dong ZhengGraduate Department, Bengbu Medical College, Bengbu, 233030, China. zhenglidong01zld@163.com.
Feng ChengDepartment of Anesthesiology, Lu'an Hospital of Anhui Medical University, No. 21 of Wanxi West Road, Lu'an, 237005, China. m17610777386@163.com.
Anhui Medical University · CNBengbu Medical College · CN

Funding

Anhui Provincial Key Research and Development Project 2022e07020045New technology and new project of Lu'an Hospital of Anhui Medical University 2022xjs04
6 · The paper itself

Abstract

objectiveThe purpose of this study was to examine the feasibility of using a combination of diaphragmatic ultrasound and muscle relaxation monitoring in predicting adverse respiratory events after extubation among elderly patients in an anesthetic intensive care unit (AICU).

methodsThe study participants were 120 elderly patients who were in the AICU after laparoscopic radical resection for colorectal cancer. Based on whether there were critical respiratory events (CREs) after extubation, they were divided into the adverse event group and the non-adverse event group. We used logistic regression to identify factors influencing the occurrence of CREs post-extubation in elderly patients. Using the receiver operating characteristic (ROC) curve, we analyzed the value of each indicator in predicting CREs post-extubation.

resultsWe included 109 patients in the final analysis. In the adverse event group (n = 19), the age, proportion of females, and proportion of preoperative respiratory diseases were higher than in the non-adverse event group (n = 90). The muscle relaxation value, quiet breathing diaphragmatic excursion during extubation (DE-QB), deep breathing diaphragmatic excursion during extubation (DE-DB), and deep breathing diaphragmatic thickening fraction during extubation (DTF-DB) of patients in the adverse event group were significantly lower than those in the non-adverse event group (P < 0.05). Using binary logistic regression analysis, we identified muscle relaxation value, DE-DB, and DTF-DB during extubation as significant predictors of CREs post-extubation in elderly patients (P < 0.05). The area under the curve (AUC) of the combination of the muscle relaxation value, DE-DB, and DTF-DB during extubation for predicting CREs after extubation in elderly patients was 0.949, which was higher than that of any single indicator.

conclusionThe combination of diaphragmatic ultrasound and muscle relaxation monitoring was more accurate in predicting CREs post-extubation among elderly patients in the AICU.

Indexed as

AnesthesiaVentilator WeaningAgedAirway ExtubationDiaphragmFemaleHumansIntensive Care UnitsPredictive Value of TestsProspective StudiesRespiration, ArtificialUltrasonographyDiaphragm ultrasoundMuscle relaxation monitoringOld ageRespiratory adverse events

Identifiers

PMID38087209
PMCPMC10717864
OpenAlexW4389625570

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.