Evidence map›Paper›PMID 41355841›Full record

ArticleInternational journal of general medicine2025

Diaphragm Contraction Pressure Index: A New Forecasting Indicator for Weaning from Mechanical Ventilation.

Peng Zhang, Haijiao Jiang, Zheng Li, Quan Zhou, Jiaofeng Wu, Mengquan Wang, Jingyi Wu, Xiaogan Jiang

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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.

Peng Zhang *Department of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.
Haijiao Jiang *Department of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.
Zheng Li *Department of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.
Quan ZhouDepartment of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.
Jiaofeng WuDepartment of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.
Mengquan WangDepartment of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.
Jingyi WuDepartment of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.ORCID 0000-0001-9221-0301
Xiaogan JiangDepartment of Critical Care Medicine, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Failure to wean from mechanical ventilation can lead to prolonged hospital stays, increased incidence of ventilator-associated pneumonia, and higher mortality rates. This study aimed to explore the effectiveness of the diaphragm contraction pressure index (DCPI) in predicting weaning outcomes in patients undergoing mechanical ventilation, providing a scientific basis for successful weaning in clinical practice. Patients and Methods: This prospective observational study included 286 individuals in the derivation cohort and 104 patients in the validation cohort, all of whom completed the spontaneous breathing trial (SBT). During SBT, ultrasound was used to quantify the right hemidiaphragm excursion (DE), diaphragm thickness (DTF) after inspiration and expiration, and DCPI. MIP values were gathered from the mechanical ventilator when the patients breathed peacefully. The derivation cohort determined the cut-off value of DCPI and compared these ultrasound diaphragm parameters. The validation cohort contributes to verifying the accuracy of DCPI. Results: The weaning success group's DCPI in the derivation cohort was significantly higher than that of the weaning failure group (36.67% ± 7.02% vs 24.03% ± 5.78%, Conclusion: Compared with DTF, DE, and MIP, DCPI dramatically improves the accuracy of predicting successful weaning. Trial Registration: No. ChiCTR2100052470, Registered 28 October 2021.

Indexed as

DCPIdiaphragmmechanical ventilationpredictive performanceultrasoundweaning

Identifiers

PMID41355841
PMCPMC12681281

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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.