Evidence map›Paper›PMID 34392131›Full record

Observational studyJournal of critical care2021

A radiological predictor for pneumomediastinum/pneumothorax in COVID-19 ARDS patients.

Diego Palumbo, Alberto Zangrillo, Alessandro Belletti, Giorgia Guazzarotti, Maria Rosa Calvi, Francesca Guzzo, Renato Pennella, Giacomo Monti, Chiara Gritti, Marilena Marmiere and 10 more

2 registry-linked trialsOpen access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of critical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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.

NCT05816954 recruitingnot on this mapstarted 2023, after this paper: background citation

Artificial Intelligence-based Identification of Imaging Biomarkers of Lung FRAILty in Patients With Acute Respiratory Distress Syndrome.

TypeobservationalSponsorUniversità Vita-Salute San RaffaeleRan2023 to 2027Enrolled100ConditionsAcute Respiratory Distress Syndrome, BarotraumaArmsChest Computed Tomography Scan per normal clinical practice
NCT06001645 recruitingnot on this mapstarted 2023, after this paper: background citation

Pulmonary Interstitial Emphysema (Macklin Effect), Quantitative Imaging Analysis and CytoKine Profiling to Predict Lung Frailty IN ARDS

TypeobservationalSponsorUniversità Vita-Salute San RaffaeleRan2023 to 2027Enrolled110ConditionsAcute Respiratory Distress Syndrome, BarotraumaArmsBlood and bronchoalveolar fluid collection and analysis, Chest CT scan
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. When Asthma Leads to Air: Pneumomediastinum in a Child.Children (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Air leaks in COVID-19.World journal of virology · 2022
    Review
  13. Article
  14. Observational
  15. Review
  16. 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

20 authors at 4 institutions in 1 country.

Diego PalumboDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Alberto ZangrilloSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandro BellettiDepartment of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giorgia GuazzarottiDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Maria Rosa CalviDepartment of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca GuzzoDepartment of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Renato PennellaDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Giacomo MontiDepartment of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara GrittiDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Marilena MarmiereSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Margherita RocchiSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Sergio ColomboDepartment of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Davide ValsecchiEmergency Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Anna Mara ScandroglioDepartment of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Lorenzo DagnaSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Unit of Immunology, Rheumatology, Allergy and Rare Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Patrizia Rovere-QueriniSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Department of Internal Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Moreno TresoldiSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Department of Internal Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giovanni LandoniSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy. Electronic address: landoni.giovanni@hsr.it.
Francesco De CobelliDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
COVID-BioB Study Group
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituto di Ricovero e Cura a Carattere Scientifico San RaffaeleVita-Salute San Raffaele University · ITSan Raffaele University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether Macklin effect (a linear collection of air contiguous to the bronchovascular sheath) on baseline CT imaging is an accurate predictor for subsequent pneumomediastinum (PMD)/pneumothorax (PNX) development in invasively ventilated patients with COVID-19-related acute respiratory distress syndrome (ARDS). MATERIALS AND

methodsThis is an observational, case-control study. From a prospectively acquired database, all consecutive invasively ventilated COVID-19 ARDS patients who underwent at least one baseline chest CT scan during the study time period (February 25th, 2020-December 31st, 2020) were identified; those who had tracheal lesion or already had PMD/PNX at the time of the first available chest imaging were excluded.

results37/173 (21.4%) patients enrolled had PMD/PNX; specifically, 20 (11.5%) had PMD, 10 (5.8%) PNX, 7 (4%) both. 33/37 patients with subsequent PMD/PNX had Macklin effect on baseline CT (89.2%, true positives) 8.5 days [range, 1-18] before the first actual radiological evidence of PMD/PNX. Conversely, 6/136 patients without PMD/PNX (4.4%, false positives) demonstrated Macklin effect (p < 0.001). Macklin effect yielded a sensitivity of 89.2% (95% confidence interval [CI]: 74.6-96.9), a specificity of 95.6% (95% CI: 90.6-98.4), a positive predictive value (PV) of 84.5% (95% CI: 71.3-92.3), a negative PV of 97.1% (95% CI: 74.6-96.9) and an accuracy of 94.2% (95% CI: 89.6-97.2) in predicting PMD/PNX (AUC:0.924).

conclusionsMacklin effect accurately predicts, 8.5 days in advance, PMD/PNX development in COVID-19 ARDS patients.

Indexed as

COVID-19Mediastinal EmphysemaPneumothoraxRespiratory Distress SyndromeCase-Control StudiesHumansSARS-CoV-2Acute respiratory distress syndromeCOVID-19Mechanical ventilationPneumomediastinumPneumothoraxTomography, X-ray computed

Identifiers

PMID34392131
PMCPMC8357628
OpenAlexW3195961560

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.