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Macklin effect on baseline chest CT scan accurately predicts barotrauma in COVID-19 patients - 11/05/22

Doi : 10.1016/j.rmed.2022.106853 
Gianluca Paternoster a, , Gianfranco Belmonte b, Enrico Scarano b, Pietro Rotondo b, Diego Palumbo c, d, Alessandro Belletti e, Francesco Corradi f, Pietro Bertini g, Giovanni Landoni d, e, Fabio Guarracino g

for the COVID-Macklin Study Group

Alessandro Isirdi, Diego Costanzo, Matteo Romani, Luigi De Simone, Roberto Mozzo, Alessia Palmaccio, Giorgia Guazzarotti, Renato Pennella, Francesca Calabrese

a Department of Cardiovascular Anesthesia and Intensive Care, San Carlo Hospital, Potenza, Italy 
b Department of Radiology, San Carlo Hospital, Potenza, Italy 
c Department of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy 
d School of Medicine, Vita-Salute San Raffaele University, Milan, Italy 
e Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy 
f Department of Surgical-Medical Molecular Pathology and Critical Care Medicine, University of Pisa, Italy 
g Department of Anesthesia e Critical Care Medicine, Cardiothoracic-Vascular Anesthesia and Intensive Care, Azienda Ospedaliero Universitaria Pisana, Italy 

Corresponding author. Department of Cardiovascular Anesthesia and Intensive Care, San Carlo Hospital Via Potito Petrone, 85100, Potenza, Italy.Department of Cardiovascular Anesthesia and Intensive CareSan Carlo Hospital Via Potito PetronePotenza85100Italy

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Abstract

Purpose

To validate the role of Macklin effect on chest CT imaging in predicting subsequent occurrence of pneumomediastinum/pneumothorax (PMD/PNX) in COVID-19 patients.

Materials and methods

This is an observational, case-control study. Consecutive COVID-19 patients who underwent chest CT scan at hospital admission during the study time period (October 1st, 2020–April 31st, 2021) were identified. Macklin effect accuracy for prediction of spontaneous barotrauma was measured in terms of sensitivity, specificity, positive (PPV) and negative predictive values (NPV).

Results

Overall, 981 COVID-19 patients underwent chest CT scan at hospital arrival during the study time period; 698 patients had radiological signs of interstitial pneumonia and were considered for further evaluation. Among these, Macklin effect was found in 33 (4.7%), including all 32 patients who suffered from barotrauma lately during hospital stay (true positive rate: 96.9%); only 1/33 with Macklin effect did not develop barotrauma (false positive rate: 3.1%). No barotrauma event was recorded in patients without Macklin effect on baseline chest CT scan. Macklin effect yielded a sensitivity of 100% (95% CI: 89.1–100), a specificity of 99.85% (95% CI: 99.2–100), a PPV of 96.7% (95% CI: 80.8–99.5), a NPV of 100% and an accuracy of 99.8% (95% CI: 99.2–100) in predicting PMD/PNX, with a mean advance of 3.2 ± 2.5 days. Moreover, all Macklin-positive patients developed ARDS requiring ICU admission and, in 90.1% of cases, invasive mechanical ventilation.

Conclusions

Macklin effect has high accuracy in predicting PMD/PNX in COVID-19 patients; it is also an excellent predictor of disease severity.

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Highlights

Macklin effect on baseline CT accurately predicts barotrauma in COVID-19 patients.
Mean time from Macklin effect detection and barotrauma development was 3.2 days.
Macklin effect is a reliable radiological marker of lung frailty.
Macklin effect on baseline CT accurately predicts lung damage progression.
Barotrauma-risk stratification allows use of personalized management strategies.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : Acute respiratory distress syndrome, Mechanical ventilation, Computed tomography, Pneumothorax, Pneumomediastinum, Barotrauma, Intensive care

Abbreviations : ARDS, COVID-19, NPV, PMD, PNX, PPV


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