Evidence map›Paper›PMID 36370227›Full record

ArticleAnnals of intensive care2022

Correlation between the hysteresis of the pressure-volume curve and the recruitment-to-inflation ratio in patients with coronavirus disease 2019.

Ryuichi Nakayama, Naofumi Bunya, Shinshu Katayama, Yuya Goto, Yusuke Iwamoto, Kenshiro Wada, Keishi Ogura, Naoya Yama, Shintaro Takatsuka, Masumi Kishimoto and 6 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2022. 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

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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Airway opening pressure in an obese ARDS patient: just the start of airway recruitment.Journal of anesthesia, analgesia and critical care · 2023
    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

16 authors.

Ryuichi NakayamaDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan. ryuichin.smu99@gmail.com.ORCID http://orcid.org/0000-0002-3272-7680
Naofumi BunyaDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Shinshu KatayamaDivision of Intensive Care, Department of Anesthesiology and Intensive Care Medicine, Jichi Medical University School of Medicine, Shimotsuke, Tochigi, 329-0498, Japan.
Yuya GotoDepartment of Intensive Care Medicine, School of Medicine, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Yusuke IwamotoDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Kenshiro WadaDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Keishi OguraDivision of Radiology and Nuclear Medicine, Sapporo Medical University Hospital, Sapporo, Japan.
Naoya YamaDepartment of Diagnostic Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Shintaro TakatsukaCenter for Medical Education, Sapporo Medical University, Sapporo, Japan.
Masumi KishimotoDepartment of Clinical Engineering, Sapporo Medical University Hospital, Sapporo, Japan.
Kanako TakahashiDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Ryuichiro KakizakiDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Keigo SawamotoDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Shuji UemuraDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Keisuke HaradaDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.
Eichi NarimatsuDepartment of Emergency Medicine, Sapporo Medical University School of Medicine, South 1, West 16, 291, Minami 1-Jo Nishi 16-Chome, Chuo-Ku, Sapporo, Hokkaido, 060-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the response to lung recruitment varies greatly among patients receiving mechanical ventilation, lung recruitability should be assessed before recruitment maneuvers. The pressure-volume curve (PV curve) and recruitment-to-inflation ratio (R/I ratio) can be used bedside for evaluating lung recruitability and individualing positive end-expiratory pressure (PEEP). Lung tissue recruitment on computed tomography has been correlated with normalized maximal distance (NMD) of the quasi-static PV curve. NMD is the maximal distance between the inspiratory and expiratory limb of the PV curve normalized to the maximal volume. However, the relationship between the different parameters of hysteresis of the quasi-static PV curve and R/I ratio for recruitability is unknown.

methodsWe analyzed the data of 33 patients with severe coronavirus disease 2019 (COVID-19) who received invasive mechanical ventilation. Respiratory waveform data were collected from the ventilator using proprietary acquisition software. We examined the relationship of the R/I ratio, quasi-static PV curve items such as NMD, and respiratory system compliance (C

resultsThe median R/I ratio was 0.90 [interquartile range (IQR), 0.70-1.15] and median NMD was 41.0 [IQR, 37.1-44.1]. The NMD correlated significantly with the R/I ratio (rho = 0.74, P < 0.001). Sub-analysis showed that the NMD and R/I ratio did not correlate with C

conclusionsNMD of the quasi-static PV curve and R/I ratio for recruitability assessment are highly correlated. In addition, NMD and R/I ratio correlated with the C

Indexed as

Coronavirus disease 2019Mechanical ventilationRespiratory distress syndrome

Identifiers

PMID36370227
PMCPMC9652597

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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.