ReviewIntensive care medicine2011
Deadspace ventilation: a waste of breath!
Review in Intensive care medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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.
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.
Who cites it
27 citing papers in PubMed.
- Advanced respiratory mechanics assessment in mechanically ventilated obese and non-obese patients with or without acute respiratory distress syndrome.Critical care (London, England) · 2023Trial
- Precision Medicine in Acute Respiratory Distress Syndrome: Progress, Challenges, and the Road ahead.Clinics in chest medicine · 2024Review
- Impact of Nebulized BromAcLife (Basel, Switzerland) · 2024Article
- Non-invasive ventilation treatment for patients with chronic obstructive pulmonary disease.Healthcare technology letters · 2023Article
- Letter to the editor: "Increased respiratory dead space could associate with coagulation activation and poor outcomes in COVID-19 ARDS".Journal of critical care · 2023Article
- Increased respiratory dead space could associate with coagulation activation and poor outcomes in COVID-19 ARDS.Journal of critical care · 2022Article
- Volumetric Capnography in Pediatric Extracorporeal Membrane Oxygenation: A Case Series.Journal of pediatric intensive care · 2022Article
- Physiological dead space during exercise in patients with heart failure with preserved ejection fraction.Journal of applied physiology (Bethesda, Md. : 1985) · 2022Article
- Resting Physiologic Dead Space as Predictor of Postoperative Pulmonary Complications After Robotic-Assisted Lung Resection: A Pilot Study.Frontiers in physiology · 2022Article
- Unmatched ventilation and perfusion measured by electrical impedance tomography predicts the outcome of ARDS.Critical care (London, England) · 2021Observational
- Dead space estimates may not be independently associated with 28-day mortality in COVID-19 ARDS.Critical care (London, England) · 2021Observational
- Pulmonary Angiopathy in Severe COVID-19: Physiological Conclusions Derived from Ventilatory Ratio?American journal of respiratory and critical care medicine · 2021Article
- Effect of N-Acetylcysteine on the treatment of acute respiratory distress syndrome in mechanically ventilated patients admitted to the intensive care unit.Medical journal of the Islamic Republic of Iran · 2021Article
- Physiological mechanism and spatial distribution of increased alveolar dead-space in early ARDS: An experimental study.Acta anaesthesiologica Scandinavica · 2021Article
- Effect of transpulmonary pressure-guided positive end-expiratory pressure titration on lung injury in pigs with acute respiratory distress syndrome.Journal of clinical monitoring and computing · 2020Article
- Physiologic Analysis and Clinical Performance of the Ventilatory Ratio in Acute Respiratory Distress Syndrome.American journal of respiratory and critical care medicine · 2019Observational
- Minute ventilation to carbon dioxide production ratio is a simple and non-invasive index of ventilatory inefficiency in mechanically ventilated patients: proof of concept.Intensive care medicine · 2017Article
- Effects of N-acetylcysteine treatment in acute respiratory distress syndrome: A meta-analysis.Experimental and therapeutic medicine · 2017Article
- Volumetric capnography: lessons from the past and current clinical applications.Critical care (London, England) · 2016Review
- Can Transcutaneous CO2 Tension Be Used to Calculate Ventilatory Dead Space? A Pilot Study.Critical care research and practice · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Problems with ventilatory efficiency results in abnormal CO(2) clearance. Measuring deadspace ventilation should be the most reliable method of monitoring ventilatory efficiency in mechanically ventilated patients. Since its first description by Bohr in the late 19th century to the current use of single-breath test for volumetric CO(2), our understanding of the physiological deadspace has vastly improved. Yet indices of oxygenation seem to be the mainstay when instigating or fine-tuning ventilatory strategies. Deadspace and with it ventilatory efficiency has been largely forgotten. Recently though there has been a resurgence of interest in ventilatory efficiency. Several indices have been described that either predict deadspace or track ventilatory efficiency at the bedside. Thus making it more accessible and easy to monitor and study in large groups of patients, factors which have perhaps resulted in its under-utilisation in critical care. This review revisits the physiological concepts and methods of measuring deadspace. Described are the various clinical applications of deadspace measurements in the critically unwell. The potential reasons that have led to the variable being under-used are also examined. Finally we describe the indices currently available to track ventilatory efficiency at the bedside.
Indexed as
Identifiers
21394623What OpenQuestion holds
Registered trials
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.