Evidence map›Paper›PMID 38737762›Full record

ArticleFrontiers in medicine2024

Use of pressure muscle index to predict the contribution of patient's inspiratory effort during pressure support ventilation: a prospective physiological study.

Ran Gao, Jian-Xin Zhou, Yan-Lin Yang, Shan-Shan Xu, Yi-Min Zhou, Linlin Zhang, Ming-Yue Miao

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Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

7 authors.

Ran GaoDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jian-Xin ZhouClinical and Research Center on Acute Lung Injury, Emergency, and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yan-Lin YangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shan-Shan XuDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yi-Min ZhouDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Linlin ZhangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ming-Yue MiaoClinical and Research Center on Acute Lung Injury, Emergency, and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The successful implementation of assisted ventilation depends on matching the patient's effort with the ventilator support. Pressure muscle index (PMI), an airway pressure based measurement, has been used as noninvasive monitoring to assess the patient's inspiratory effort. The authors aimed to evaluate the feasibility of pressure support adjustment according to the PMI target and the diagnostic performance of PMI to predict the contribution of the patient's effort during ventilator support. Methods: In this prospective physiological study, 22 adult patients undergoing pressure support ventilation were enrolled. After an end-inspiratory airway occlusion, airway pressure reached a plateau, and the magnitude of change in plateau from peak airway pressure was defined as PMI. Pressure support was adjusted to obtain the PMI which was closest to -1, 0, +1, +2, and + 3 cm H Results: A total of 105 datasets were collected at different PMI-targeted pressure support levels. The differences in PMI between the target and the obtained value were all within ±1 cm H Conclusion: Our results preliminarily suggested the feasibility of pressure support adjustment according to the PMI target from the ventilator screen. PMI could reliably predict the high and low contribution of a patient's effort during assisted ventilation.

Indexed as

inspiratory effortmuscle pressure indexpressure support ventilationprotective ventilationrespiratory mechanics

Identifiers

PMID38737762
PMCPMC11082330

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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.