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Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, ItalySchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy
Address correspondence to Prof. Giovanni Landoni, MD, Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, via Olgettina 60, 20132 Milan, Italy.
Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, ItalySchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy
School of Medicine, Vita-Salute San Raffaele University, Milan, ItalyUnit of Immunology, Rheumatology, Allergy, and Rare Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
There are few data on incidence of pneumothorax/pneumomediastinum in COVID-19 ARDS
•
We collected data from 116 COVID-19 patients requiring mechanical ventilation
•
Incidence of pneumothorax/pneumomediastinum was 24%
•
Time from symptoms onset to intubation is a predictor of pneumothorax/pneumomediastinum
•
95% of pneumothorax/pneumomediastinum patients had Macklin sign on CT scan
Objective
To determine the incidence, predictors, and outcome of pneumothorax (PNX)/pneumomediastinum (PMD) in coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS).
Design
Observational study.
Setting
Tertiary-care university hospital.
Participants
One hundred sixteen consecutive critically ill, invasively ventilated patients with COVID-19 ARDS.
Interventions
The authors collected demographic, mechanical ventilation, imaging, laboratory, and outcome data. Primary outcome was the incidence of PNX/PMD. Multiple logistic regression analyses were performed to identify predictors of PNX/PMD.
Measurements and Main Results
PNX/PMD occurred in a total of 28 patients (24.1%), with 22 patients developing PNX (19.0%) and 13 developing PMD (11.2%). Mean time to development of PNX/PMD was 14 ± 11 days from intubation. The authors found no significant difference in mechanical ventilation parameters between patients who developed PNX/PMD and those who did not. Mechanical ventilation parameters were within recommended limits for protective ventilation in both groups. Ninety-five percent of patients with PNX/PMD had the Macklin effect (linear collections of air contiguous to the bronchovascular sheaths) on a baseline computed tomography scan, and tended to have a higher lung involvement at intensive care unit (ICU) admission (Radiographic Assessment of Lung Edema score 32.2 ± 13.4 v 18.7 ± 9.8 in patients without PNX/PMD, p = 0.08). Time from symptom onset to intubation and time from total bilirubin on day two after ICU admission were the only independent predictors of PNX/PMD. Mortality was 60.7% in patients who developed PNX/PMD versus 38.6% in those who did not (p = 0.04).
Conclusion
PNX/PMD occurs frequently in COVID-19 patients with ARDS requiring mechanical ventilation, and is associated with increased mortality. Development of PNX/PMD seems to occur despite use of protective mechanical ventilation and has a radiologic predictor sign.
BETWEEN THE end of 2019 and beginning of 2020, the coronavirus disease 2019 (COVID-19) pandemic spread from China to all over the world, causing more than 100 million cases and more than 2,100,000 deaths as of January 28, 2021.
The rapid spread of the disease, together with the high rate of severe respiratory failure, frequently caused overwhelming of healthcare systems, even in high-income countries.
A relevant proportion of patients with COVID-19 developed acute respiratory distress syndrome (ARDS), requiring invasive ventilation for a prolonged period.
Pneumothorax (PNX) and pneumomediastinum (PMD) occurred relatively frequently in mechanically ventilated patients with ARDS, with a reported incidence of up to 15% in recent multicenter randomized controlled trials (RCTs).
Effect of lung recruitment and titrated positive end-expiratory pressure (PEEP) vs low PEEP on mortality in patients with acute respiratory distress syndrome—A randomized clinical trial.
Effect of a low vs intermediate tidal volume strategy on ventilator-free days in intensive care unit patients without ARDS: A randomized clinical trial.
Furthermore, early predictors of PNX/PMD remain poorly described.
Accordingly, the authors decided to perform an observational study to investigate these issues. In particular, their primary objective was to identify the prevalence of PNX and PMD in COVID-19 patients requiring invasive mechanical ventilation, and their secondary objectives were to determine early predictors of PNX/PMD and clinical outcome of these patients.
Methods
Study Design
This study was part of the COVID-19 Biobank study, an observational study performed at a 1,350-bed university hospital in Italy. The study was registered on ClinicalTrials.gov (NCT04318366) and approved by the Hospital Ethics Committee (protocol no. 34/int/2020). A detailed description of study methodology, patient management, and clinical protocols recently has been published.
Prevalence, characteristics, risk factors, and outcomes of invasively ventilated COVID-19 patients with acute kidney injury and renal replacement therapy.
An official American Thoracic Society/European Society of Intensive Care Medicine/Society of Critical Care Medicine clinical practice guideline: Mechanical ventilation in adult patients with acute respiratory distress syndrome.
In particular, the authors aimed for a tidal volume of 6-to-8 mL/kg of ideal body weight, a driving pressure of ≤15 cmH2O, and a pH >7.25. Positive end-expiratory pressure (PEEP) initially was set according to the ARDSnet low PEEP/high Fi02 table, and then individualized according to oxygenation, respiratory system mechanics, and hemodynamics. Details on the mechanical ventilation protocol previously have been published.
Consecutively, all adult patients (age ≥18) admitted to an intensive care unit (ICU) and requiring invasive mechanical ventilation at the authors’ institution between February 25, 2020, and April 27, 2020, (first Italian pandemic wave), with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection were enrolled. Confirmed infection was defined as positive real-time reverse-transcriptase polymerase chain reaction (RT-PCR) from a nasal and/or throat swab together with symptoms, signs, and radiologic findings suggestive of COVID-19 pneumonia. The authors present outcomes as of June 29, 2020 (median follow-up, 34.0 [28.0-42.0] days).
Outcomes
The primary outcome was development of PNX or PMD during ICU stay. Secondary outcomes were ICU stay, hospital length of stay, and hospital mortality.
Imaging Studies
Chest imaging studies (x-ray [CXR], computed tomography [CT] scan), as well as contrast medium administration, were performed at the discretion of the attending intensivists, according to clinical needs. Two radiologists (D.P., G.G.) independently reviewed all images to confirm diagnosis of PNX/PMD. Furthermore, to identify possible predictors of PNX/PMD, baseline chest imaging studies (performed at the hospital and/or ICU admission) also were reviewed and analyzed as follows. Baseline images were reviewed first, with radiologists blinded to subsequent development of PNX/PMD.
Chest X-ray
Radiographic Assessment of Lung Edema (RALE) semiquantitative score was used to quantify the extent and severity of lung opacities (see Supplementary materials).
Furthermore, all CXRs were analyzed by a deep-learning artificial intelligence (AI) system (qXR v2.1 c2, Qure.ai Technologies, India) trained to detect a number of specific abnormalities on frontal chest x-ray, resulting in a pure quantitative severity scoring index. These scores previously have been proved to be independent and comparable predictors of adverse outcomes in patients with COVID-19 pneumonia, in an emergency department setting.
All CT images were reviewed carefully for the so-called Macklin effect, which is defined as a linear collection of air contiguous to the bronchovascular sheaths.
Contrast-enhanced CT, if used, the occurrence of pulmonary vascular thrombosis (defined as filling defects in the branches of the pulmonary arteries) also was considered.
Irrespective of the presence or absence of PNX/PMD, the diameter of the trachea and first- and second-order bronchi was systematically measured.
Data Collection
Data were collected from medical records by trained investigators independent from clinical teams. The authors obtained data on contact exposure, onset of symptoms and presenting symptoms, medical history, and current medications at time of symptom onset, daily clinical and laboratory data, treatment data, and outcome data. The authors collected daily mechanical ventilation data during the first seven days of mechanical ventilation. Laboratory data were collected at hospital admission and during the first three days of ICU stay. The authors performed an extensive round of data cleaning to check for data accuracy and outliers before analysis.
Statistical Analysis
A convenience sample was considered for this analysis, with consecutive patients included until the latest follow-up. A formal sample size calculation was, therefore, not performed; yet the authors retrospectively calculated the study power. The study power retrospectively calculated was 70%, considering a null hypothesis proportion of 0.25, and an alternative hypothesis proportion of 0.15, with an actual alpha of 0.04. Continuous variables are presented as mean and standard deviation in case of normal distribution or medians, and interquartile range in case of non-normal distribution, and categorical variables as number and percentages. Patients were divided into groups according to development of PNX and/or PMD or not until the latest follow-up.
Baseline and clinical characteristics of the patients were compared between the groups using Fisher exact tests and Wilcoxon rank-sum tests.
Logistic regression model using stepwise selection was used to identify predictors of PNX/PMD and predictors of mortality. Baseline, mechanical ventilation, and laboratory parameters were entered into the model if they had a univariate p value of less than 0.10 and a number of missing data <15%. Collinearity and overfitting were assessed using a stepwise regression model and Pearson correlation test. In the multiple logistic regression analyses, clinical factors or potential confounding variables were expressed as odds ratio (OR) with 95% confidence interval (CI).
All analyses were performed with Stata (version 15, StataCorp, College Station, Texas) by a biostatistician with extensive expertise in statistical analysis for clinical trials (R.L.).
Results
Population and Primary Outcome
From February 25, 2020, to April 27, 2020, a total of 124 patients with positive COVID-19 nasopharyngeal swab were admitted to the ICU. Of these, two patients had never been intubated and six did not have ARDS. Therefore, a total 116 patients with COVID-19 ARDS received invasive mechanical ventilation in the ICU and were included in the study (Fig 1). In total, 28 patients developed PNX or PMD (24.1%), with 22 patients developing PNX (19%) and 13 developing PMD (11.2%). Seven patients developed both PNX and PMD (6.0%).
Preadmission demographic and clinical characteristics are shown in Table 1. Most patients were men (85.2%), and the median age was 62 years. There were no significant differences at baseline between patients who developed PNX/PMD and patients who did not.
Table 1Demographic and Clinical Characteristics at Hospital Admission of Included Patients
Without PNX/PMD (N = 88)
With PNX/PMD (N = 28)
p Value
Age, y
62 (54-69)
62 (57-70)
0.89
Female sex, no. (%)
13 (14.8)
5 (17.9)
0.77
Height, cm
173 (165-176)
176 (167-180)
0.14
Weight, kg
80 (74-90)
80 (72-95)
0.80
BMI, kg/cm2
26.8 (24.8-30.9)
29.3 (25.3-32.0)
0.52
Ideal body weight, kg
68.8 (59.7-71.5)
71.0 (62.8-75.1)
0.14
Employed as a healthcare worker, no. (%)
3 (7.9)
1 (7.1)
0.99
Ethnic group
Other, no. (%)
5 (5.6)
0 (0.00)
0.33
Latin American, no. (%)
12 (13.6)
5 (17.9)
0.55
Caucasian, no. (%)
71 (80.6)
23 (82.1)
0.99
Comorbidities
Ischemic heart disease, no. (%)
6 (7.7)
2 (8.3)
0.99
Arrythmias , no. (%)
7 (9.0)
0 (0.0)
0.19
Cerebrovascular disease, no. (%)
6 (7.8)
0 (0.0)
0.33
Hypertension, no. (%)
44 (53.0)
8 (32.0)
0.07
Asthma, no. (%)
4 (5.2)
0 (0.0)
0.57
COPD, no. (%)
1 (1.3)
1 (4.17)
0.42
Chronic neurologic disorder, no. (%)
3 (4.0)
0 (0.0)
0.99
Moderate-to-severe renal disease, no. (%)
5 (6.7)
2 (8.3)
0.67
Diabetes type II, no. (%)
14 (17.5)
5 (20.0)
0.77
Solid tumor, no. (%)
3 (4.1)
1 (4.2)
0.99
Active smoker, no. (%)
2 (3.5)
1 (4.8)
0.99
Former smoker, no. (%)
7 (12.5)
2 (10.5)
0.99
Chronic medical therapy
ACE inhibitors, no. (%)
9 (12.7)
3 (11.5)
0.99
Angiotensin receptor blockers, no. (%)
10 (14.1)
3 (11.5)
0.99
Calcium channel blockers, no. (%)
10 (14.1)
0 (0.0)
0.06
Beta-blockers, no. (%)
14 (19.4)
3 (11.5)
0.55
VKA, no. (%)
2 (2.7
0 (0.0)
0.99
NOACs, no. (%)
1 (1.4)
0 (0.0)
0.99
Anti-arrhythmics, no. (%)
5 (6.9)
0 (0.0)
0.32
ASA, no. (%)
13 (17.6)
5 (19.2)
0.99
Other antiplatelets, no. (%)
3 (4.2)
0 (0.0)
0.56
Statin, no. (%)
9 (12.3)
2 (7.7)
0.72
Steroids, no. (%)
4 (5.5)
0 (0.0)
0.57
Vital signs at hospital presentation
Temperature, °C
38.0 ± 1.0
37.8 ± 0.9
0.40
Systolic B, mmHg
128.7 ± 22.1
120.8 ± 14.1
0.10
Diastolic B, mmHg
72.3 ± 12.8
72.6 ± 7.1
0.93
HR, beats per minute
99.5 ± 16.6
93.4 ± 17.8
0.13
RR, breaths per minute
30.9 ± 9.0
33.7 ± 8.1
0.43
Oxygen saturation, %
93 (84-96)
91 (80-96)
0.49
Neurologically oriented, no. (%)
64 (80.0)
25 (96.0)
0.07
Presenting symptoms
History of fever in the previous 14 d, no. (%)
79 (98.8)
25 (92.6)
0.16
Chest pain, no. (%)
4 (7.1)
1 (4.6)
0.99
Muscle aches/myalgia, no. (%)
1 (2.0)
1 (4.6)
0.53
Joint pain arthralgia, no. (%)
1 (2.0)
0 (0.0)
0.99
Fatigue malaise, no. (%)
11 (21.6)
5 (20.8)
0.99
Shortness of breath/dyspnea, no. (%)
55 (74.0)
16 (70.0)
0.66
RALE score
At hospital admission
15.1 ± 10.6
12.3 ± 5.1
0.39
At ICU admission
18.7 ± 10.5
32.2 ± 13.3
0.08
Qure AI score
At hospital admission
48.2 ± 16.4
60.2 ± 29.3
0.36
At ICU admission
47.4 ± 18.1
55.8 ± 24.7
0.54
Tracheobronchial measurements, mm
Trachea, A/P diameter
20.9 ± 2.7
21.8 ± 3.3
0.16
Trachea, L/L diameter
19.7 ± 3.4
20.3 ± 3.4
0.47
Right primary bronchus, maximum diameter
15.8 ± 2.3
16.7 ± 2.9
0.38
Left primary bronchus, maximum diameter
13.9 ± 1.9
14.7 ± 1.6
0.41
Second-order bronchi, maximum diameter
8.6 ± 1.1
8.5 ± 1.3
0.52
Time from symptom onset to hospital admission, d
5.0 (3.0-9.0)
7.0 (4.5-10.0)
0.14
Time from symptom onset to intubation, d
10.0 (6.0-14.0)
13.0 (9.5-17.0)
0.004
Time from intubation to PNX/PMD development, d
N/A
14.0 ± 11.0
N/A
Abbreviations: ACE, angiotensin-converting enzyme; AI, artificial intelligence; A/P, antero/posterior; ASA, acetylsalicylic acid; BMI, body mass index; BP, blood pressure; COPD, chronic obstructive pulmonary disease; HR, heart rate; ICU, intensive care unit; L/L, latero/lateral; N/A, not applicable; NOAC, novel oral anticoagulants; PMD, pneumomediastinum; PNX, pneumothorax; RALE, radiographic assessment of lung edema; RR, respiratory rate; VKA, vitamin K antagonist.
Bold values have been included in the multiple logistic regression analysis
Time from symptoms to hospital admission is presented in Table 1, and was similar between the two groups (Table 1).
Time from symptom onset to intubation was 10.0 (6.0-14.0) in patients who did not develop PNX/PMD versus 13.0 (9.5-17.0) days in those who did (p = 0.004). Time from intubation to development of PNX or PMD was 14 ± 11 days.
Daily Data
Ventilatory and blood gas parameters during the first seven days of ICU admission and mechanical ventilation are presented in Table 2. There was no difference in ventilatory parameters between patients who developed PNX/PMD and patients who did not.
Table 2Ventilatory and Blood Gas Parameters During the First Seven Days of Invasive Mechanical Ventilation, According to Development of Pneumothorax or Pneumomediastinum
Variable
Without PNX/PMD (N = 88)
With PNX/PMD (N = 28)
p Value
Tidal volume, day 1, mL
480 (420-500)
441 (400-480)
0.13
Tidal volume, day 2, mL
450 (420-500)
455 (420-520)
0.82
Tidal volume, day 3, mL
450 (420-500)
490 (420-550)
0.44
Tidal volume, day 4, mL
480 (440-512)
450 (450-520)
0.48
Tidal volume, day 5, mL
473 (420-500)
450 (400-500)
0.26
Tidal volume, day 6, mL
470 (420-500)
480 (400-500)
0.83
Tidal volume, day 7, mL
480 (420-580)
490 (375-590)
0.56
Tidal volume/IBW, day 1, mL/kg
6.8 (6.0-7.4)
6.8 (5.9-7.6)
0.84
Tidal volume/IBW, day 2, mL/kg
6.7 (6.1-7.4)
6.9 (6.0-7.9)
0.82
Tidal volume/IBW, day 3, mL/kg
6.7 (6.1-7.3)
6.9 (6.0-8.1)
0.85
Tidal volume/IBW, day 4, mL/kg
7.1 (6.3-7.7)
6.5 (5.7-8.1)
0.41
Tidal volume/IBW, day 5, mL/kg
7.2 (6.2-7.9)
6.1 (6.0-8.0)
0.47
Tidal volume/IBW, day 6, mL/kg
7.3 (6.3-7.8)
6.7 (5.3-8.1)
0.52
Tidal volume/IBW, day 7, mL/kg
7.2 (6.6-8.4)
7.1 (5.5-8.2)
0.68
Peak airway pressure, day 1, cmH2O
28 (26-30)
28 (21-32)
0.74
Peak airway pressure, day 2, cmH2O
26 (22-30)
27 (23-32)
0.62
Peak airway pressure, day 3, cmH2O
26 (22-30)
25 (23-28)
0.99
Peak airway pressure, day 4, cmH2O
26 (22-29)
24 (21-30)
0.61
Peak airway pressure, day 5, cmH2O
25 (17-30)
23 (15-28)
0.50
Peak airway pressure, day 6, cmH2O
24 (15-28)
24 (20-30)
0.64
Peak airway pressure, day 7, cmH2O
22 (12-28)
22 (12-28)
0.25
PEEP, day 1, cmH2O
12 (10-14)
11 (10-14)
0.19
PEEP, day 2, cmH2O
12 (10-14)
12 (10-15)
0.68
PEEP, day 3, cmH2O
12 (10-14)
12 (10-14)
0.63
PEEP, day 4, cmH2O
10 (8-12)
10 (10-15)
0.56
PEEP, day 5, cmH2O
10 (8-13)
10 (10-13)
0.69
PEEP, day 6, cmH2O
10 (8-12)
11 (8-12)
0.83
PEEP, day 7, cmH2O
10 (7.5-12)
10 (8-12)
0.32
Driving pressure, day 1, cmH2O
15 (12-17)
15 (13-18)
0.56
Driving pressure, day 2, cmH2O
14 (9-16)
15 (10-17)
0.30
Driving pressure, day 3, cmH2O
14 (10-16)
13 (11-16)
0.72
Driving pressure, day 4, cmH2O
14 (8-15)
12 (6-15)
0.57
Driving pressure, day 5, cmH2O
12 (6-16)
12 (7-15)
0.81
Driving pressure, day 6, cmH2O
12 (5-15)
14 (8-18)
0.34
Driving pressure, day 7, cmH2O
10 (5-15)
15 (8-19)
0.19
Pao2/Fio2 ratio, day 1, mmHg/%
106.4 (80.1-148.3)
108.5 (72.5-128.3)
0.46
Pao2/Fio2 ratio, day 2, mmHg/%
129.2 (100.5-173.8)
109.0 (92.5-160.7)
0.20
Pao2/Fio2 ratio, day 3, mmHg/%
137.2 (109.2-187.5)
117.1 (88.6-153.3)
0.09
Pao2/Fio2 ratio, day 4, mmHg/%
125.2 (104.3-184.0)
117.6 (83.3-144.8)
0.11
Pao2/Fio2 ratio, day 5, mmHg/%
133.3 (115.0-190.0)
109.8 (82.4-158.0)
0.03
Pao2/Fio2 ratio, day 6, mmHg/%
145.4 (106. 7-185.8)
108.3 (80.6-150.8)
0.02
Pao2/Fio2 ratio, day 7, mmHg/%
125.2 (102.3-176.0)
105.9 (83.8-142.0)
0.02
Paco2, day 1, mmHg
47.0 (39.5-53.9)
50.1 (40.9-57.9)
0.20
Paco2, day 2, mmHg
48.2 (43.0-53.7)
49.5 (40.8-52.3)
0.96
Paco2, day 3, mmHg
48.0 (42.5-53.5)
46.9 (43.8-51.8)
0.60
Paco2, day 4, mmHg
48.4 (43.0-56.7)
47.0 (42.3-54.0)
0.40
Paco2, day 5, mmHg
51.0 (43.5-56.8)
53.0 (42.4-58.5)
0.76
Paco2, day 6, mmHg
49.2 (43.0-56.3)
48.5 (41.1-57.9)
0.48
Paco2, day 7, mmHg
49.1 (42.9-56.3)
48.5 (41.1-57.9)
0.89
pH, day 1
7.37 (7.31-7.45)
7.39 (7.32-7.45)
0.52
pH, day 2
7.41 (7.34-7.46)
7.45 (7.39-7-49)
0.19
pH, day 3
7.43 (7.37-7.48)
7.44 (7.42-7.47)
0.32
pH, day 4
7.45 (7.39-7.49)
7.44 (7.42-7.47)
0.69
pH, day 5
7.44 (7.40-7.48)
7.44 (7.39-7.48)
0.93
pH, day 6
7.46 (7.39-7.48)
7.40 (7.39 –7.46)
0.42
pH, day 7
7.45 (7.40-7.48)
7.43 (7.37-7.48)
0.38
Abbreviations: IBW, ideal body weight; PacO2, partial arterial carbon dioxide tension; Pao2/FiO2, partial arterial oxygen tension to fraction of inspired oxygen ratio; PEEP, positive end-expiratory pressure; PMD, pneumomediastinum; PNX, pneumothorax.
Daily laboratory variables in the first three days according to development of PNX or PMD are shown in Supplementary Table 1. Total bilirubin levels during the first three days of ICU admission were the only laboratory values that were significantly higher in the patients who later developed PNX or PMD.
Diagnosis and Treatment of PNX/PMD
Diagnosis of PNX was confirmed with CXR in 16/22 patients (72.7%) and with chest CT in the remaining 6 patients (27.3%). Pneumomediastinum was identified with CXR in 8/13 (61.5%) and with chest CT in 5/13 patients (38.5%). A subsequent confirmatory chest CT was obtained in all PMD patients.
In the majority of patients, PNX required chest tube drainage (18/22 [81.8%]), and in four patients (18.2%) management was conservative. In one patient (4.5%), chest tube drainage was not sufficient and minithoracotomy was performed.
Pneumomediastinum was managed conservatively in 12/13 (92.3%) patients. In one patient a tracheoesophageal fistula was identified, and surgical repair of the lesion was required. The patient ultimately recovered and was discharged from the hospital.
Chest Imaging
All patients had at least one baseline CXR; 88 patients (75.8%) had at least one chest CT scan, irrespective of contrast medium administration (specifically, 66 patients underwent CT pulmonary angiography). Of note, 21 of 28 patients (75%) with subsequent PNX/PMD had a baseline chest CT scan available (median time between baseline CT scan and PNX/PMD occurrence: 12 days [8-18]), and seven patients underwent CT scanning only after PNX/PMD development. Therefore, a total of 81 of 116 patients (69.8%) were included in the chest CT analysis subgroup; of these, 58 (67.9%) already were intubated at the time of the first CT scan.
Chest X-ray
Overall, median RALE and Qure AI scores for pulmonary involvement were, respectively, 12 (7-19.5) and 45.5 (38-59.5) at hospital admission, 17.5 (11.75-28) and 50.5 (32.25-65) are median RALE and Qure AI scores at ICU admission. There were no statistically significant differences between patients who then had PNX/PMD and patients who did not (Table 1). However, when considering RALE score at ICU admission, patients with PNX/PMD had a numerically higher baseline lung involvement (32.2 ± 13.4 v 18.7 ± 9.8 p = 0.08).
Chest CT Scans
Among patients who underwent chest CT scan, 20 of 21 patients (95.2%) with subsequent occurrence of PNX/PMD were found to have Macklin effect on baseline CT scan (Fig 2). On the contrary, five patients of the 60 without PNX/PMD who underwent chest CT scan (8.3%) demonstrated that sign (p < 0.001). In the subgroup of patients with PNX/PMD, the exact topographic distribution within the lung of Macklin effect was found to be peripheral (ie, adjacent to third-, fourth-, and/or fifth-order bronchi) in the vast majority of patients (18/20 [90%]).
Fig 2Lung parenchyma window axial computed tomography scans of 3 patients with severe acute respiratory syndrome coronavirus 2-associated pneumonia presenting Macklin effect (arrows) in association with pneumothorax (A), early pneumomediastinum (B), and full-blown pneumomediastinum along with subcutaneous emphysema (C).
Twenty-seven of 66 patients who underwent contrast-enhanced chest CT scan (40.9%) had pulmonary vascular thrombosis; no differences were found in terms of pulmonary vascular thrombosis incidence between patients with and without PNX/PMD (p = 0.526).
Predictors of PNX/PMD
On multiple logistic regression analysis, time from symptom onset to intubation (OR = 1.14; 95% CI, 1.02-1.27; p = 0.017) and total bilirubin level on day two of ICU stay (OR = 1.79; 95% CI, 1.12-2.87; p = 0.015) were associated with development of PNX/PMD (Table 3).
Table 3Predictors of Pneumothorax/Pneumomediastinum Development on Multiple Logistic Regression Analysis
Variable
OR
95% CI
p Value
Time from symptom onset to intubation, d
1.14
1.02 to 1.27
0.017
Total bilirubin, day 2, mg/dL
1.79
1.12 to 2.87
0.015
Pao2/Fio2 ratio, day 5, mmHg/%
0.99
0.98 to 1.01
0.435
Only variables with univariate p value <0.1 were included, after exclusion for collinearity/overfitting.
At latest follow-up on June 29, 2020, patients had been followed for a median period of 34.0 (28.0-42.0) days. Overall, 51 (43.9%) died during the study period, with a mortality rate of 17/28 (60.7%) among patients who developed PNX/PMD versus 34/88 patients (34.6%) among patients who did not (Table 4).
Table 4Clinical Outcomes, According to Development of Pneumothorax/Pneumomediastinum or Not
Variable
Without PNX/PMD (N = 88)
With PNX/PMD (N = 28)
p Value
Length of ICU stay, d
12.0 (7.5-21.0)
28.0 (14.5-51.0)
<0.001
Length of hospital stay, d
28.0 (15.0-44.0)
41.5 (28.0-69.5)
0.004
Longest follow-up mortality, no. (%)
34 (38.6)
17 (60.7)
0.04
Abbreviations: ICU, intensive care unit; PMD, pneumomediastinum; PNX, pneumothorax.
Development of PNX or PMD was associated with an increased risk of death, by univariate analysis (Supplementary Tables 2-4). On multiple logistic regression analysis, development of PNX/PMD (OR = 3.64; 95% CI, 1.24-10.70; p = 0.019) and platelet levels on day two after ICU admission (OR = 0.996; 95% CI, 0.993-0.999; p = 0.04) were the only independent predictors of mortality.
Discussion
Key Findings
In this single-center study, the authors found that almost one of four patients with COVID-19 ARDS requiring mechanical ventilation developed PNX or PMD, and that development of this complication was associated with increased risk of mortality. Furthermore, they identified time from symptom onset to intubation and total bilirubin as the only independent predictors of PNX/PMD development, and mechanical ventilation parameters did not differ between patients with and without PNX/PMD. Finally, almost all of the patients who developed PNX/PMD had the Macklin effect on baseline chest CT.
Relationship to Previous Studies
Wali et al. presented data from a small case series of five patients who developed PMD. Similar to the authors’ study, patients in their case series were ventilated with protective ventilation strategies, and developed PMD after four-to-14 days of mechanical ventilation.
In a recently published observational study, Lemmers et al. investigated the incidence of PMD and subcutaneous emphysema in patients with COVID-19 and non–COVID-19 ARDS, and found a 13% incidence of PMD in COVID-19 ARDS versus 1.9% in non-COVID-19 ARDS.
Furthermore, mortality was 56.5% in COVID-19 ARDS patients who developed PMD/subcutaneous emphysema versus 50% of patients who did not. Of note, Lemmers et al. found that patients developed PMD/subcutaneous emphysema despite applying protective mechanical ventilation. In the authors’ study, they observed a similar incidence of PMD. Compared with the study by Lemmers et al., the authors investigated daily ventilatory parameters during the first seven days of ICU stay and found no difference between PNX/PMD patients and those who did not develop these complications. In addition, the authors investigated early predictors of PNX/PMD. They found that time from symptom onset to intubation and total bilirubin were the only predictors of these complications. Interestingly, and in contrast to the authors’ cohort, Lemmers et al. found that PMD/subcutaneous emphysema was not associated with higher risk of mortality.
In another study, Fiacchini et al. investigated the incidence of tracheal complications in 30 patients with COVID-19 ARDS requiring prolonged mechanical ventilation versus a control group of ICU patients without ARDS.
In their study, the incidence of PNX was 20%, while the incidence of PMD was 33%. The authors can hypothesize that Fiacchini et al. reported a higher incidence than the authors’ group because they investigated the selected group of patients requiring more than 14 days of mechanical ventilation, while the authors included all patients requiring invasive ventilation. Unfortunately, they did not report data on mechanical ventilation parameters other than positive end-expiratory pressure (PEEP); therefore, the authors cannot comment on possible differences in ventilation strategies.
Additional studies reported incidence of barotrauma in mechanically ventilated COVID-19 ARDS patients ranging from 10%-to-14%.
Contrary to the authors’ study, none of these present data on early predictors of PNX/PMD and data on mechanical ventilation settings were limited to the time of PNX/PMD development,
These rates were lower than what the authors found in their study and those reported in other COVID-19 case series, despite use of similar mechanical ventilation strategies, as recommended by current guidelines.
Significance of Study Findings
Results of the authors’ study highlighted, and published data collectively suggested, that patients with COVID-19 ARDS were at higher risk of developing PNX/PMD as compared with patients with ARDS due to non–COVID-19 causes. Interestingly, this seemed to occur regardless of mechanical ventilation setting, as already suggested in previous studies performed in a mixed ICU population.
These findings suggested that SARS-CoV-2 may induce a specific type of lung damage that increases frailty of airways tissue, given also the high risk of serious tracheal complications found in these patients.
The pathogenesis of SARS-CoV-2 lung damage remains poorly understood, but it seems to involve microvascular thrombosis, interstitial inflammatory infiltrates, bradykinin-dependent lung angioedema formation, and endothelial barrier disruption.
There is general agreement that diffuse alveolar damage is the main histopathologic feature, including capillary congestion, necrosis of pneumocytes, formation of hyaline membranes, interstitial and alveolar edema, hyperplasia of type 2 pneumocyte, platelet–fibrin microthrombi, and diffuse macrophage and lymphocyte inflammatory infiltrate.
and the authors recently proposed that even COVID-19–related pulmonary vascular thrombotic complications were due to local inflammatory endothelial damage, with a superimposed thrombotic late complication, rather than recurrent thromboembolism from peripheral deep vein thrombosis.
It is possible that the inflammatory and ischemic damage to small airways, together with the prolonged mechanical ventilation that COVID-19 frequently requires, led to the increased risk of developing PNX/PMD. However, recent studies suggested that lung damage induced from SARS-CoV-2 is indistinguishable from damage induced by other causes,
With regard to this point, the authors’ findings could provide an in vivo anatomic depiction of a possible pathogenetic mechanism underlying PNX/PMD development in ARDS COVID-19 patients. The presence of the so-called Macklin effect implies a rupture along the alveolar tree (primum movens) with centripetal dissection along the bronchovascular sheaths toward the pulmonary hila.
This radiologic appearance could, therefore, represent macroscopic evidence of the proposed virus-induced frailty of airways tissue. In further support of this hypothesis, patients with a major baseline lung involvement at ICU admission were found to be more likely to develop PNX/PMD. Finally, a documented tracheal lesion was identified in one patient only in the authors’ cohort, and tracheal/main bronchi diameters were not significantly different between patients with and without PNX/PMD. Taken together, these observations worked against the idea of a “central” barotrauma as the primum movens of PNX/PMD.
Indeed, the authors found that time from symptom onset to intubation was a significant, independent predictor of PNX/PMD development. A possible explanation for this finding was that delayed intubation increased the risk of self-induced lung injury and, therefore, lung and airway inflammatory damage and fibrosis.
Interestingly, total bilirubin levels also were associated with risk of developing PNX/PMD. A possible explanation was that these patients developed right heart dysfunction secondary to hypoxia-induced pulmonary vasoconstriction and pulmonary hypertension or prolonged period of high PEEP during noninvasive ventilation before intubation, with subsequent increased central venous pressure and venous congestion-induced liver damage.
Alternatively, increased bilirubin level might simply be a marker of a more severe condition with initial multiple organ dysfunction.
The authors’ study suggested that clinicians caring for patients with COVID-19 ARDS should be aware of the high risk of developing PNX/PMD despite protective mechanical ventilation strategies, especially if the Macklin effect is identified on chest CT scan or if intubation occurred after more than ten days after symptom onset.
Therefore, a high index of suspicion always should be present when dealing with unclear respiratory or hemodynamic deterioration in patients with COVID-19 ARDS. Extra care should be given to patients with the Macklin effect by CT scan to avoid further damage (eg, by avoiding high airway pressure and favoring use of extracorporeal technologies instead). It remains to be determined whether avoiding intubation may be a strategy to reduce risk of barotrauma and PNX/PMD development.
Strengths and Limitations of the Study
Compared with other studies investigating PNX/PMD, the authors’ study included a larger number of mechanical ventilation and laboratory parameters, which allowed for a better understanding of potential clinical risk factors of developing these complications. Furthermore, the authors also included a detailed review of chest imaging studies.
The authors’ findings were limited by the single-center design, which may limit generalizability of the findings. However, these findings seemed consistent with data already present in medical literature.
The authors did not apply a specific protocol for imaging and laboratory studies; therefore, they acknowledge that they might have missed a few cases of PNX/PMD. However, they believe that such cases (if any) would not be clinically relevant. Furthermore, all patients requiring prolonged mechanical ventilation and ICU stay underwent repetitive chest imaging to monitor disease progression.
The authors’ data collection was limited to the first Italian pandemic wave (March-April 2020). They cannot exclude different incidence and outcome of PNX/PMD as their expertise on COVID-19 ARDS management increases. Unfortunately, data from the second Italian pandemic wave are not yet available. Furthermore, only data for the first seven days of mechanical ventilation were available in the authors’ dataset. They cannot exclude that a difference in ventilatory parameters emerged at a later stage.
These results were limited by the relatively small sample size of the study. However, it remains one of the largest studies on the topic and with the greatest amount of data, including mechanical ventilation and radiologic data.
The authors reported an apparently high rate of death in their study (43.9%). However, this mortality rate was in line with previous multicenter studies on ARDS patients,
Because the COVID-19 pandemic still is ongoing, future studies should better define the pathophysiology of lung injury and respiratory failure induced by SARS-CoV-2 to develop specific treatment strategies. Furthermore, given the specific characteristics that COVID-19 ARDS seems to have, which may differ from non–COVID-19 ARDS, specific intensive care management strategies should be investigated in an adequately designed randomized trial, including optimal timing of intubation, ARDS-management strategies, fluid management, and antithrombotic and anti-inflammatory therapy. Finally, future studies should address prevention and management of COVID-19–associated PNX/PMD.
Conclusions
Patients with COVID-19 ARDS requiring invasive mechanical ventilation are at high risk of developing PNX or PMD. Development of these complications is associated with increased risk of adverse outcome. Time from symptom onset to intubation and organ failure seem to be early predictors of these complications. Macklin effect on CT scan seems to be a predictor of subsequent PNX/PMD development.
Acknowledgments
The authors thank all the personnel of San Raffaele Hospital for the dedication to these patients and for the support in data collection.
Effect of lung recruitment and titrated positive end-expiratory pressure (PEEP) vs low PEEP on mortality in patients with acute respiratory distress syndrome—A randomized clinical trial.
Effect of a low vs intermediate tidal volume strategy on ventilator-free days in intensive care unit patients without ARDS: A randomized clinical trial.
Prevalence, characteristics, risk factors, and outcomes of invasively ventilated COVID-19 patients with acute kidney injury and renal replacement therapy.
An official American Thoracic Society/European Society of Intensive Care Medicine/Society of Critical Care Medicine clinical practice guideline: Mechanical ventilation in adult patients with acute respiratory distress syndrome.
COVID-BioB Study Group collaborators: Nicola Pasculli, Giovanni Borghi, Maria Rosa Calvi, Antonella Cipriani, Francesca Guzzo, Maria Grazia Calabrò, Martina Crivellari, Annalisa Franco, Marina Pieri, Marta Mucchetti, Gabriele Todaro, Davide Losi, Silvia Strada, Gaetano Di Terlizzi, Rebecca de Lorenzo, Nicola Compagnone, and Alessandro Tomelleri.
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