Evidence map›Paper›PMID 36521885›Full record

Trial reportBMJ open2022

Development and validation of a mechanical power-oriented prediction model of weaning failure in mechanically ventilated patients: a retrospective cohort study.

Yao Yan, Jiye Luo, Yanli Wang, Xiaobing Chen, Zhiqiang Du, Yongpeng Xie, Xiaomin Li

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Observational
  2. Observational
  3. Review
  4. Article
  5. Observational
  6. 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

7 authors.

Yao YanDepartment of Emergency Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, Jiangsu, China.ORCID 0000-0001-8000-6952
Jiye LuoDepartment of Emergency Medicine, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Yanli WangDepartment of Emergency Medicine, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Xiaobing ChenDepartment of Emergency Medicine, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Zhiqiang DuDepartment of Critical Care Medicine, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Yongpeng Xie *Department of Emergency Medicine, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China lyglxm1@163.com xyp8285@163.com.
Xiaomin Li *Department of Emergency Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, Jiangsu, China lyglxm1@163.com xyp8285@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a mechanical power (MP)-oriented prediction model of weaning failure in mechanically ventilated patients.

designA retrospective cohort study.

settingData were collected from the large US Medical Information Mart for Intensive Care-IV (MIMIC-IV) V.1.0, which integrates comprehensive clinical data from 76 540 intensive care unit (ICU) admissions from 2008 to 2019.

participantsA total of 3695 patients with invasive mechanical ventilation for more than 24 hours and weaned with T-tube ventilation strategies were enrolled from the MIMIC-IV database. PRIMARY AND SECONDARY OUTCOME: Weaning failure.

resultsAll eligible patients were randomised into development cohorts (n=2586, 70%) and validation cohorts (n=1109, 30%). Multivariate logistic regression analysis of the development cohort showed that positive end-expiratory pressure, dynamic lung compliance, MP, inspired oxygen concentration, length of ICU stay and invasive mechanical ventilation duration were independent predictors of weaning failure. Calibration curves showed good correlation between predicted and observed outcomes. The prediction model showed accurate discrimination in the development and validation cohorts, with area under the receiver operating characteristic curve values of 0.828 (95% CI: 0.812 to 0.844) and 0.833 (95% CI: 0.809 to 0.857), respectively. Decision curve analysis indicated that the predictive model was clinically beneficial.

conclusionThe MP-oriented model of weaning failure accurately predicts the risk of weaning failure in mechanical ventilation patients and provides valuable information for clinicians making decisions on weaning.

Indexed as

Respiration, ArtificialVentilator WeaningHumansIntensive Care UnitsPositive-Pressure RespirationRetrospective Studiesadult intensive & critical careintensive & critical carerespiratory medicine (see thoracic medicine)

Identifiers

PMID36521885
PMCPMC9756150

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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.