Evidence map›Paper›PMID 32317734›Full record

Trial reportScientific reports2020

Tracking respiratory mechanics around natural breathing rates via variable ventilation.

Samer Bou Jawde, Allan J Walkey, Arnab Majumdar, George T O'Connor, Bradford J Smith, Jason H T Bates, Kenneth R Lutchen, Béla Suki

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% of its field
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 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Digital twins for chronic lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  3. Surfactant Protein Production during Maturation Is Enhanced by Natural Variability in Breathing.American journal of respiratory cell and molecular biology · 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

8 authors at 3 institutions in 1 country.

Samer Bou JawdeDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Allan J WalkeyDepartment of Medicine, Pulmonary, Allergy, Sleep, & Critical Care Medicine, Boston University, Boston, MA, USA.
Arnab MajumdarDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
George T O'ConnorDepartment of Medicine, Pulmonary, Allergy, Sleep, & Critical Care Medicine, Boston University, Boston, MA, USA.
Bradford J SmithDepartment of Bioengineering, University of Colorado Denver | Anschutz Medical Campus, Aurora, CO, USA.
Jason H T BatesPulmonary/Critical Care Division, University of Vermont, Burlington, VT, USA.
Kenneth R LutchenDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Béla SukiDepartment of Biomedical Engineering, Boston University, Boston, MA, USA. bsuki@bu.edu.
Boston University · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Vermont · US

Funding

A multi-scale computational model of the extracellular matrix of the lungU01HL139466 · NHLBI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SUKI, BELA · 2018 to 2022
$3.9M
NHLBI NIH HHS U01 HL139466
6 · The paper itself

Abstract

Measuring respiratory resistance and elastance as a function of time, tidal volume, respiratory rate, and positive end-expiratory pressure can guide mechanical ventilation. However, current measurement techniques are limited since they are assessed intermittently at non-physiological frequencies or involve specialized equipment. To this end, we introduce ZVV, a practical approach to continuously track resistance and elastance during Variable Ventilation (VV), in which frequency and tidal volume vary from breath-to-breath. ZVV segments airway pressure and flow recordings into individual breaths, calculates resistance and elastance for each breath, bins them according to frequency or tidal volume and plots the results against bin means. ZVV's feasibility was assessed clinically in five human patients with acute lung injury, experimentally in five mice ventilated before and after lavage injury, and computationally using a viscoelastic respiratory model. ZVV provided continuous measurements in both settings, while the computational study revealed <2% estimation errors. Our findings support ZVV as a feasible technique to assess respiratory mechanics under physiological conditions. Additionally, in humans, ZVV detected a decrease in resistance and elastance with time by 12.8% and 6.2%, respectively, suggesting that VV can improve lung recruitment in some patients and can therefore potentially serve both as a dual diagnostic and therapeutic tool.

Indexed as

Acute Lung InjuryAnimalsComputer SimulationElectric ImpedanceHumansMaleMice, Inbred C57BLModels, BiologicalPulmonary VentilationRespiratory MechanicsRespiratory Rate

Identifiers

PMID32317734
PMCPMC7174375
OpenAlexW3017204131

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.