Evidence map›Paper›PMID 37158128›Full record

Trial reportThe clinical respiratory journal2023

An investigation on the respiratory mechanics of mechanically ventilated patients during spontaneous breathing trials with enhanced low-level pressure support ventilation.

Baozhu Zhang, Zhe Zhang, Haiping Qin, Zhenjie Jiang, Qiuxue Deng, Qingwen Sun, Yingzhi Wang, Jing Zhou, Zhimin Lin, Weiqun He and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The clinical respiratory journal, 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
0.3field-weighted citation impact, top 39% 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, 1 citations in OpenAlex.

  1. Trial
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

12 authors at 3 institutions in 2 countries.

Baozhu ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zhe ZhangGuangzhou Respiratory Health Research Institute, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Haiping QinDepartment of Pulmonary and Critical Care Medicine, The Second People's Hospital of Fengkai, Zhaoqing, China.
Zhenjie JiangDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qiuxue DengDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qingwen SunDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yingzhi WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jing ZhouDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zhimin LinDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Weiqun HeDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Dongming HuaDepartment of General Medicine, Bunbury Regional Hospital, Bunbury, Western Australia, Australia.ORCID https://orcid.org/0000-0002-8251-7382
Yuanda XuDepartment of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-7843-8876
First Affiliated Hospital of Guangzhou Medical University · CNLishman Health Foundation · AUThe First People's Hospital of Zhaoqing · CN

Funding

Guangzhou Science and Technology Planning ProjectZhongnanshan Medical Foundation of Guangdong Province
6 · The paper itself

Abstract

introductionLow-level pressure support ventilation (PSV) is most commonly adopted in spontaneous breathing trials (SBTs), and some have proposed setting the positive end-expiratory pressure (PEEP) to 0 cmH MATERIAL AND

methodA prospective randomized self-controlled crossover design was adopted in this study, which involved enrolling 30 difficult-to-wean patients who were admitted to the intensive care unit of the First Affiliated Hospital of Guangzhou Medical University between July 2019 and September 2021. Patients were subjected to the S group (pressure support: 8 cmH

resultThe S group showed higher airway pressure (Paw), intragastric pressure (Pga) and airway pressure-time product (PTP) than the S1 group. The S group also showed a shorter inspiratory trigger delay, (93.80 ± 47.85) versus (137.33 ± 85.66) ms (P = 0.004); and fewer abnormal triggers, (0.97 ± 2.65) versus (2.67 ± 4.48) (P = 0.042) compared with the S1 group. Stratification based on the causes of mechanical ventilation revealed that under the S1 protocol, patients with chronic obstructive pulmonary disease (COPD) had a longer inspiratory trigger delay compared to both post-thoracic surgery (PTS) patients and patients with acute respiratory distress syndrome. Despite providing greater respiratory support, S group led to significant reductions in inspiratory trigger delay and less abnormal triggers compared to S1 group, especially among patients with chronic obstructive pulmonary disease.

conclusionThese findings suggest that the zero PEEP group was more likely to induce a higher number of patient-ventilator asynchronies in difficult-to-wean patients.

Indexed as

Pulmonary Disease, Chronic ObstructiveRespiration, ArtificialHumansPositive-Pressure RespirationProspective StudiesRespiratory Mechanicsinspiratory trigger delaypatient-ventilator asynchronypositive end-expiratory pressurepressure support ventilationspontaneous breathing trials

Identifiers

PMID37158128
PMCPMC10265145
OpenAlexW4375954854

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.