Evidence map›Paper›PMID 41062941›Full record

Observational studyBMC anesthesiology2025

Mechanical power normalized to dynamic lung compliance as a predictor of weaning and prognosis in mechanically ventilated patients: a retrospective cohort study.

Yao Yan, Xiaojiao Gu, Huiling Xu, Yanli Wang, Hui Zheng, Wenxia Hu, Jinqiu Ding, Xiaomin Li, Yongpeng Xie

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMC anesthesiology, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

9 authors.

Yao Yan *Department of Emergency Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The Lianyungang Clinical College of Nanjing Medical University, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Jiangsu, 222000, Lianyungang, China.
Xiaojiao Gu *Department of Anesthesiology, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang City, 222000, Jiangsu, China, Lianyungang.
Huiling Xu *Department of Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang City, Jiangsu, 222000, China, Lianyungang.
Yanli Wang *Department of Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang City, Jiangsu, 222000, China, Lianyungang.
Hui Zheng *Department of Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang City, Jiangsu, 222000, China, Lianyungang.
Wenxia HuDepartment of Emergency Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The Lianyungang Clinical College of Nanjing Medical University, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Jiangsu, 222000, Lianyungang, China.
Jinqiu DingDepartment of Emergency Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The Lianyungang Clinical College of Nanjing Medical University, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Jiangsu, 222000, Lianyungang, China.
Xiaomin LiDepartment of Emergency Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The Lianyungang Clinical College of Nanjing Medical University, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Jiangsu, 222000, Lianyungang, China. lyglxm1@163.com.
Yongpeng XieDepartment of Emergency Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The Lianyungang Clinical College of Nanjing Medical University, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Jiangsu, 222000, Lianyungang, China. xyp8285@njmu.edu.cn.

Funding

General Project of Lianyungang Health Commission, Jiangsu Province 202322General Research Project of Jiangsu Provincial Health Commission M2024104Social Development Project of Lianyungang Science and Technology Bureau, Jiangsu Province SF2306
6 · The paper itself

Abstract

backgroundPredicting weaning outcomes in mechanically ventilated patients remains challenging. While mechanical power (MP) reflects ventilatory load, its accuracy is limited by variability in lung compliance. This study evaluated the predictive value of MP normalized to dynamic lung compliance (Cdyn-MP) for weaning outcomes and prognosis.

methodsA retrospective observational study was conducted in two ICUs in Jiangsu, China. Patients receiving invasive ventilation ≥ 24 h and undergoing a first spontaneous breathing trial (SBT) via T-tube were included. Patients with accidental extubation, neuromuscular disorders, or without available medical records were excluded. Respiratory mechanics data prior to SBT were retrospectively extracted from medical records. Associations and predictive performance were analyzed using restricted cubic spline, Spearman correlation, and time-dependent receiver operating characteristic (ROC) curves.

resultsAmong enrolled patients, 67.7% were successfully weaned, while 32.3% failed. A 100-unit increase in Cdyn-MP was associated with a 32% increased risk of weaning failure (p < 0.001). Cdyn-MP positively correlated with adverse outcomes. Time-dependent ROC curves yielded AUC values of 0.913, 0.771, 0.733, and 0.702 for predicting weaning failure within ≤ 1, ≤3, ≤ 7, and > 7 days after initial SBT.

conclusionCdyn-MP was significantly associated with weaning outcomes and prognosis in mechanically ventilated patients. Its routine evaluation may enhance prediction accuracy and support traditional weaning assessments.

Indexed as

Respiration, ArtificialVentilator WeaningAgedChinaCohort StudiesFemaleHumansIntensive Care UnitsLung ComplianceMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesMechanical power normalized to dynamic lung complianceMechanical ventilationPredictive valuePrognosisWeaning outcomes

Identifiers

PMID41062941
PMCPMC12505575

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.