Literature DB >> 34529118

Role of total lung stress on the progression of early COVID-19 pneumonia.

Silvia Coppola1, Davide Chiumello1, Mattia Busana2, Emanuele Giola1, Paola Palermo2, Tommaso Pozzi1, Irene Steinberg2, Stefano Roli1, Federica Romitti2, Stefano Lazzari2, Simone Gattarello2, Michela Palumbo2, Peter Herrmann2, Leif Saager2, Michael Quintel2,3, Konrad Meissner2, Luigi Camporota4, John J Marini5, Stefano Centanni6, Luciano Gattinoni7.   

Abstract

PURPOSE: We investigated if the stress applied to the lung during non-invasive respiratory support may contribute to the coronavirus disease 2019 (COVID-19) progression.
METHODS: Single-center, prospective, cohort study of 140 consecutive COVID-19 pneumonia patients treated in high-dependency unit with continuous positive airway pressure (n = 131) or non-invasive ventilation (n = 9). We measured quantitative lung computed tomography, esophageal pressure swings and total lung stress.
RESULTS: Patients were divided in five subgroups based on their baseline PaO2/FiO2 (day 1): non-CARDS (median PaO2/FiO2 361 mmHg, IQR [323-379]), mild (224 mmHg [211-249]), mild-moderate (173 mmHg [164-185]), moderate-severe (126 mmHg [114-138]) and severe (88 mmHg [86-99], p < 0.001). Each subgroup had similar median lung weight: 1215 g [1083-1294], 1153 [888-1321], 968 [858-1253], 1060 [869-1269], and 1127 [937-1193] (p = 0.37). They also had similar non-aerated tissue fraction: 10.4% [5.9-13.7], 9.6 [7.1-15.8], 9.4 [5.8-16.7], 8.4 [6.7-12.3] and 9.4 [5.9-13.8], respectively (p = 0.85). Treatment failure of CPAP/NIV occurred in 34 patients (24.3%). Only three variables, at day one, distinguished patients with negative outcome: PaO2/FiO2 ratio (OR 0.99 [0.98-0.99], p = 0.02), esophageal pressure swing (OR 1.13 [1.01-1.27], p = 0.032) and total stress (OR 1.17 [1.06-1.31], p = 0.004). When these three variables were evaluated together in a multivariate logistic regression analysis, only the total stress was independently associated with negative outcome (OR 1.16 [1.01-1.33], p = 0.032).
CONCLUSIONS: In early COVID-19 pneumonia, hypoxemia is not linked to computed tomography (CT) pathoanatomy, differently from typical ARDS. High lung stress was independently associated with the failure of non-invasive respiratory support.
© 2021. The Author(s).

Entities:  

Keywords:  ARDS; COVID-19; Computed tomography scan; Lung stress; Mechanical ventilation; Non-invasive respiratory support; Ventilation-induced lung injury

Mesh:

Year:  2021        PMID: 34529118      PMCID: PMC8444534          DOI: 10.1007/s00134-021-06519-7

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


Take-home message

Introduction

Pneumonia associated to coronavirus disease 2019 (COVID-19) is considered a form of acute respiratory distress syndrome (ARDS) when it meets ARDS criteria [1] (PaO2/FiO2 ratio below 300 mmHg at PEEP of 5 cmH2O or more associated with bilateral X-ray infiltrates). Accordingly, many hospitalized patients are classified as COVID-19 ARDS (CARDS). However, frequent discrepancies between the severity of oxygenation impairment, the relatively maintained lung mechanics [2, 3], together with atypical lung imaging raises the question whether the CARDS pathophysiology is really similar to that of ARDS from other etiologies [4]. To select appropriate treatment, in particular the use of positive end-expiratory pressure (PEEP), understanding the characteristics of the underlying pathology is crucial. Indeed, in heavy and edematous lungs PEEP usually facilitates better oxygenation by maintaining open those unstable lung units, therefore, preventing atelectasis [5]. Such features and mechanisms have been well-known characteristics of typical ARDS since its original description [6]. However, the undelaying pathophysiology of CARDS is fundamentally different, particularly during the early clinical stages, because CARDS lacks extensive edema and atelectasis. Consequently, customary levels of PEEP may simply increase the stress applied to the lung. During spontaneous breathing, total lung stress is the sum of the transpulmonary pressures generated by the patient and by the end-expiratory airway pressure [7]. Acting together during vigorous breathing, these components may promote patient self-induced lung injury (P-SILI) [8-10]. Indeed, the level of total lung stress per cycle, the breathing frequency and the total time of its application have the potential to cause further lung deterioration [11]. In the current study, our aim was to answer the following questions: (1) Is the degree of hypoxemia determined by the same mechanisms as in typical ARDS (i.e., edema and atelectasis)? (2) Is total lung stress a contributing factor of clinical progression in spontaneously breathing patients? To address these questions, we evaluated the anatomical features of the lung using quantitative computed tomography (CT) and determined total lung stress by estimating transpulmonary pressure.

Methods

Patient population

Out of 2044 laboratory-confirmed COVID-19 patients treated in the emergency department of ASST Santi Paolo e Carlo, San Paolo Hospital, Milan between September 2020 and March 2021, 998 were discharged home and 1046 were admitted to the hospital. Depending on the severity of the disease, 606 were admitted to COVID-19 ward, 37 were immediately transferred to the intensive care unit (ICU) and 403 to two COVID-19 high-dependency units. For logistic reasons, only one of the two high-dependency unit was involved in the study, and no exclusion or inclusion criteria were applied. Hence, 140 adult patients (> 18 years of age) with COVID-19 pneumonia confirmed by CT were consecutively studied (see Fig. S1 for patients’ selection flowchart). The standard treatment in the high-dependency unit from which a patient was enrolled, consisted of the initial treatment with CPAP (PEEP 5, 7.5 or 10 cmH2O), delivered through helmet or mask. At the time of the study, high-flow nasal cannula was not used in the high-dependency unit. The study was observational, and no interventions other than those of standard treatment were applied. The study was approved by the local ethical board (Comitato Etico Milano Area I; 17263/2020-2020/ST/095), and informed consent was acquired from each patient.

Protocol

At day 1 (first day in high-dependency unit, HDU), each patient underwent: A lung CT scan at atmospheric pressure during spontaneous breathing, in room air. After the transfer to the HDU, an esophageal balloon catheter was inserted for the measurement of tidal pleural pressure swings [12]. The radio-opaque esophageal catheter was configured with a balloon in its lower portion and introduced into the lower third of the esophagus at a depth between 35 and 40 cm from the nose. All tracings were processed and displayed on a dedicated data acquisition system (Optivent SIDAM Srl, Modena, Italy), see Fig. S2 in supplementum. The proper position of the esophageal balloon was assessed daily by confirming the presence of the cardiac artefact on the monitored tracing. Respiratory support was provided by helmet continuous positive airway pressure (CPAP) or by mask-delivered non-invasive ventilation (NIV) [13]. The non-invasive respiratory support settings [inspired oxygen fraction (FiO2), PEEP and pressure support (PS)] were adjusted, as needed, to values chosen by the attending physician to maintain the peripheral oxygen saturation (SpO2) > 92%. PEEP test: On day 1 after admission, a formal PEEP test was performed in 121 patients with helmet. Peripheral oxygen saturation (SpO2), respiratory rate, and esophageal pressure swings were measured at 0 and 10 cmH2O of PEEP, 10 min apart. Patients were classified into five groups according to the revised Berlin definition of ARDS [14]: non-CARDS (PaO2/FiO2 > 300 mmHg), mild CARDS (200 mmHg < PaO2/FiO2 < 300 mmHg), mild-moderate CARDS (150 mmHg < PaO2/FiO2 < 200 mmHg), moderate-severe CARDS (100 mmHg < PaO2/FiO2 < 150 mmHg) and severe CARDS (PaO2/FiO2 < 100 mmHg).

During treatment

From day 1 to the end of the study period, the patients underwent daily the recording of vital signs, Borg scale dyspnea score, laboratory parameters, non-invasive respiratory support settings, respiratory rate, esophageal pressure swing, and arterial blood gas analysis. All measurements were taken in supine position. If prone position was used, these measurements were taken ≥ 3 h after resupination. The study positive outcome was defined as the ability of the patient to sustain PaO2/FiO2 > 200 mmHg, respiratory rate < 20–22/min, and PaCO2 > 35 mmHg for > 24 h without non-invasive respiratory support. The negative outcome was defined as the decision to transfer to the intensive care unit for immediate intubation and application of mechanical ventilation. These decisions were made at the discretion of the attending physician on a clinical basis. The reasons that led to the decision to intubate were detailed in the clinical record (see Supplementum for details).

Measurements

Lung weight, lung gas-volume and the fractions of the over-, normally, poorly and non-aerated tissues using quantitative analysis of the whole-lung CT scan. Esophageal pressure swing (i.e., the spontaneous inspiratory effort), measured as the maximal negative deflection of the esophageal pressure from the end-expiratory value. Total lung stress (PL), computed as: In this equation P is the maximal transpulmonary pressure, defined as the total stress applied to the lung. ΔP is the tidal esophageal pressure swing, ΔP is the pressure support applied during NIV and 0.7 is the estimated fraction of airway pressure transmitted to the lung [15, 16]. For the full derivations see Supplement [17].

Statistical analysis

The normal distribution of the variables was assessed with Shapiro–Wilk test. Data are expressed as mean ± standard deviation or median [interquartile range], as appropriate. Comparison between two means or medians was performed with Student’s t test or Wilcoxon’s test. One-way analysis of variance or Kruskal–Wallis test was used to compare multiple means or medians. Chi-square test or Fisher’s exact test were used to construct the contingency tables. To assess the effect of time on PaO2/FiO2 ratio and total stress, and the association between study variables and outcomes, a logistic regression model was modeled. Two-tailed p values < 0.05 were considered statistically significant. All analyses were performed with R for Statistical Computing 4.0.

Results

Standard treatment

Following the local protocol, all patients admitted to the high-dependency unit were treated with helmet CPAP (5–10 cmH2O) in the awake prone position. Patients received dexamethasone 6 mg per day for five consecutive days (September 2020 to January 2021). After publication of the Recovery Trial (February 2021) [18] the treatment was continued up to 10 days if the patient was not improving. Low molecular weight heparin was administered daily. Antibiotics were administered only for confirmed bacterial infection. All the measurements were obtained in supine position.

Anatomical and physiological characteristics of CARDS

In Table 1, we present the main baseline clinical characteristics of the study population, divided into the five aforementioned subgroups. Apart from height, all other anthropometric and clinical characteristics were similar among all five subgroups. The proportion of patients that failed non-invasive support—and were subsequently ventilated invasively—was higher for the severe category, compared to the other subgroups. Similarly, the in-hospital mortality rates were significantly higher among patients with moderate-severe and severe CARDS. Death occurred only in invasively ventilated patients.
Table 1

Clinical characteristics and laboratory analysis of the ARDS severity subgroups

Overall (n = 140)No ARDS (n = 17)Mild ARDS (n = 45)Mild-moderate ARDS (n = 33)Moderate-severe ARDS (n = 36)Severe ARDS (n = 9)p value
Anthropometrics
Female (n %)42 (30)2 (12)11 (24.4)12 (36.4)13 (36.1)4 (44.4) < 0.001*
Age (years)59 [52–66]58 [54–62]59 [53–67]57 [51–63]60 [55–65]63 [57–69]0.11
BMI (kg/m2)28.1 [25.2–32.3]29.4 [27.8–33.2]28.0 [25.3–33.7]26.0 [24.4–29.6]29 [25.9–32.3]28.1 [27.8–30.1]0.98
Height (m)1.7 ± 0.091.77 ± 0.091.73 ± 0.071.67 ± 0.121.67 ± 0.091.77 ± 0.080.006*
Duration of symptoms to admission (days)6 [4–8]7 [5–10] 5 [4–8]6 [3–8]6 [5–8]5 [2–7] 0.56
CPAP–NIV (nn)131–916–143–230–334–28–10.90
Days from admission to intubation (days)6 [4–9]6 [4–7]4 [4–6]5 [5–10]8 [6–12]6 [3–8]0.25
Failure of non-invasive respiratory support (n %)34 [24.3]3 (17.6)7 (15.6)7 (21.2)10 (27.8)7 (77.8)0.002*
In-hospital mortality (n %)14 (10)1 (5.9)1 (2.2)1 (3.0)7 (19.4)4 (44.4) < 0.001*
Laboratory
Hemoglobin (g/dl)14.4 [13.2–15.4]14.6 [13.7–15.5]14.3 [13.2–15.4]14 [13–15]14.5 [13.9–15.4]14.6 [12.9–16.2]0.56
Platelets (109/l)202 [155–241]205 [183–266]202 [163–247]204 [159–223]194 [139–239]158 [150–218]0.51
D-dimer (ng/dl)298 [215–411]251 [172–366]301 [223–386]263 [210–391]287 [196–429]434 [344–457]0.49
INR1.14 [1.09–1.22]1.13 [1.08–1.16]1.14 [1.08–1.23]1.15 [1.09–1.22]1.18 [1.12–1.25]1.13 [1.1–1.21]0.41
aPTT (s)1.01 [0.92–1.08]1.05 [0.92–1.11]1.00 [0.93–1.06]1.04 [0.94–1.1]0.99 [0.91–1.07]0.95 [0.93–1.1]0.76
ALT (U/l)44 [28–67]47 [36–79]49 [30–73]46 [32–62]32 [27–65]30 [23–47] 0.23
AST (U/l)55 [41–76]59 [43–96]59 [42–77]53 [41–74]52 [39–71]56 [37–72]0.87
Creatinine (mg/dl)0.8 [0.7–1]0.85 [0.78–1.13]0.85 [0.7–1]0.8 [0.6–0.98]0.9 [0.73–1.1]1 [0.68–1.10]0.32
Clinical characteristics and laboratory analysis of the ARDS severity subgroups In Fig. 1, we report the PaO2/FiO2 (Panel A) and the associated CT scan anatomical features for the five subgroups. As shown, the PaO2/FiO2 ratio ranged widely, from 477 mmHg down to 76 mmHg. In contrast, as shown in Panel B, the lung weight and the fractions of well, poorly, and non-inflated tissue as well as the CT images (see also Figure S3) were strikingly similar among severity categories, independently from the degree of oxygenation impairment.
Fig. 1

Panel A: PaO2/FiO2 ratio measured at day 1 in the non-CARDS and CARDS subgroups (p < 0.001). Panel B: lung computed tomography features at day 1 as evaluated by the quantitative analysis in the five subgroups (over-inflated tissue, p = 0.30; normally inflated tissue, p = 0.31; poorly inflated tissue, p = 0.91; non-inflated tissue p = 0.74). The PaO2/FiO2 ratio decreased across the subgroups by ~ 300 mmHg, while the associated anatomical features were nearly identical.

Panel A: PaO2/FiO2 ratio measured at day 1 in the non-CARDS and CARDS subgroups (p < 0.001). Panel B: lung computed tomography features at day 1 as evaluated by the quantitative analysis in the five subgroups (over-inflated tissue, p = 0.30; normally inflated tissue, p = 0.31; poorly inflated tissue, p = 0.91; non-inflated tissue p = 0.74). The PaO2/FiO2 ratio decreased across the subgroups by ~ 300 mmHg, while the associated anatomical features were nearly identical. Pathophysiological features are reported in Table 2. As shown, the respiratory rate was similar in all CARDS subgroups, regardless of severity, but was significantly higher for CARDS than for the subgroup of patients with no CARDS (i.e. patients with PaO2/FiO2 ratio > 300 mmHg). The PaCO2 and dyspnea score on the Borg scale as well as the esophageal pressure swing and the total stress were almost identical for all subgroups. In Table 2, we also report the results of the PEEP test: SpO2 and respiratory rate improved only in patients with moderately severe and severe ARDS, whereas the esophageal pressure swing did not change after raising PEEP from 0 cm H2O to 10 cm H2O in any subgroup.
Table 2

Gas-exchange and PEEP test in the ARDS subgroups

Overall (n = 140)No ARDS (n = 17)Mild ARDS (n = 45)Mild-moderate ARDS (n = 33)Moderate-severe ARDS (n = 36)Severe ARDS (n = 9)p value
Gas exchange
PaO2 (mmHg)104 [79–140]226 [187–259]143 [102–151]112 [100–123]83.2 [75.9–93.6]65.1 [59.3–69] < 0.001*
FiO20.6 [0.6–0.7]0.6 [0.6–0.7]0.6 [0.5–0.7]0.7 [0.5–0.7]0.7 [0.6–0.7]0.8 [0.7–0.8] < 0.001*
PaCO2 (mmHg)37 [33.9–40.7]38.3 [32.6–42.0]35.9 [32.6–39]38.8 [35–41]36.5 [34.8–40.8]39 [34.2–39.9]0.37
pH7.44 [7.42–7.47]7.44 [7.42–7.46]7.45 [7.43–7.48]7.44 [7.43–7.47]7.44 [7.42–7.46]7.43 [7.42–7.45]0.52
Respiratory rate (bpm)20 [18–24]16 [15–20]21 [18–23]21 [18–24]21 [18–25]20 [18–20]0.039*
PEEP (cmH2O)7.5 [7.5–10]10 [7.5–10]8 [7.5–10]8 [7.5–10]9 [7.5–10]10 [10–10]0.24
Esophageal pressure swing (cm H2O)7 [5–10]6 [5–7]7 [5–9]7 [4–9]9 [7–12]7 [5–7]0.06
Total stress (cm H2O)14 [11.5–16.3]13 [11.8–15]13.2 [11.3–16]13.8 [11–16]15.2 [12.9–18.6]14 [13.3–16.8]0.12
Borg dyspnea scale0 [0–1]0 [0–1]0 [0–0]0 [0–0]0 [0–1]0 [0–1]0.34
PEEP test
SpO2 at 0 cmH2O (%)97 [93–99]98 [94–100]98 [96–99]98 [95–99]95 [93–98]91 [88–94]0.003*
SpO2 at 10 cmH2O (%)98 [96–99]99 [98–100]99 [97–100]98 [97–99]97 [96–98]94 [94–98]0.006*
Respiratory rate at 0 cm H2O (bpm)22 [18–28]18 [15–20]22 [18–28]23 [20–28]22 [19–27]24.5 [22–27]0.010*
Respiratory rate at 10 cm H2O (bpm)20 [16–24]16 [15–18]20 [17–22]22 [18–25]20 [17–28]19.5 [18–21]0.007*
Esophageal pressure swing at 0 cmH2O (cmH2O)8 [6–12]7 [5–7]8 [5–10]8 [5–12]8 [7–15]8.8 [6–11]0.36
Esophageal pressure swing at 10 cmH2O (cmH2O)7 [5–10]7.5 [6–9]7 [5–9]7 [4–9]9 [7–12]7 [6–9]0.07
Total stress at 0 cmH2O (cmH2O)8 [6–12]7 [5–10]8 [5–10]8 [5–12]8 [7–15]9 [6–11]0.36
 Total stress at 10 cmH2O (cmH2O)14 [12–17]14.5 [13–16.3]14 [12–16]14 [11.3–16.3]16 [14–18.5]14 [13.4–15.6]0.07

*Statistically significant difference between groups

Gas-exchange and PEEP test in the ARDS subgroups *Statistically significant difference between groups

Association between variables and outcome

One-hundred and six patients (76%) had a positive outcome, i.e., recovered and did not require any respiratory support after 10 [6-13] days from admission. No death was observed in this subgroup of 106 patients. In contrast, 34 (24%) patients had a negative outcome, i.e., were transferred to the ICU, intubated and mechanically ventilated after 6 [4-9] days from admission. Fourteen (41.1%), out of the 34 intubated patients, died in-hospital. The characteristics of the patients who had positive or negative outcomes, measured at baseline (day 1), are summarized in Table 3. As shown, the two subgroups differed only by oxygenation (PaO2, PaO2/FiO2 ratio) and for total lung stress. Of note, the pathoanatomical variables were almost identical in the two groups. During the PEEP test (from 0 to 10 cmH2O of PEEP), the oxygenation response was not different in the two subgroups, although a tendency towards improvement was observed in the patients with negative outcome. Of note, the esophageal pressure swings did not change between 0 and 10 cmH2O, in either subgroup. Anthropometrics, physiological and CT scan variables, as recorded at day 1, were entered in univariate logistic regressions to evaluate their association with outcome (see Table S1). A significant association with outcome was found only for: PaO2/FiO2 ratio (OR = 0.99 [0.98–0.99], p = 0.02); esophageal pressure swing (OR = 1.13 [1.01–1.27], p = 0.032) and total stress (OR = 1.17 [1.06–1.31], p = 0.004, see Table S1). When these three variables were evaluated together in a multivariate logistic regression analysis, only the total stress was independently associated with negative outcome (OR = 1.16 [1.01–1.33], p = 0.032).
Table 3

Gas-exchange and PEEP test in non-intubated versus intubated patients

Non intubated (n = 106)Intubated (n = 34)p value
Gas exchange
Respiratory rate (bpm)20 [18-23]22 [19-25]0.22
PaO2/FiO2 (mmHg)197 [147–245]149 [106–207]0.003*
PaO2 (mmHg)114 [85–149]86 [69–124]0.004*
PaCO2 (mmHg)38 [34-41]35 [33-39]0.09
Borg dyspnea scale0 [0–1]0 [0–1]0.08
Esophageal pressure swing (cmH2O)7 [5-9]9 [5-12]0.10
Total lung stress (cmH2O)13.5 [11.4–15.4]15.6 [13.1–19.2]0.018*
Tissue mass (g)1101 [866–1284]1132 [942–1260]0.39
Gas volume (ml)2191 [1624–2889]2173 [1563–2737]0.82
Overinflated tissue (%)1 [0–3]1 [0–3]0.57
Normally inflated tissue (%)56 [45–63]53 [43–65]0.43
Poorly inflated tissue (%)32 [24–38]32 [25–40]0.90
Non-inflated tissue (%)9 [6–13]10 [8–16]0.26
PEEP test
SpO2 at 0 cmH2O (%)98 [94–99]93 [92–98]0.005*
SpO2 at 10 cmH2O (%)98 [97–99]97 [94–98]0.010*
Esophageal pressure swing at 0 cmH2O (cmH2O)8 [6–10]12 [6–15]0.007*
Esophageal pressure swing at 10 cmH2O (cmH2O)7 [5–9]11 [6–14]0.002*
Respiratory rate at 0 cmH2O (bpm)21 [17–28]23 [20–28]0.21
Respiratory rate at 10 cmH2O (bpm)20 [16–22]20 [18–25]0.16

*Statistically significant difference between groups

Gas-exchange and PEEP test in non-intubated versus intubated patients *Statistically significant difference between groups In Fig. 2, left panel, we present the daily PaO2/FiO2 time course of the individual patients according to clinical outcome. As shown, the PaO2/FiO2 was significantly higher at baseline (see Table 3) and significantly increased with time (slope, p = 0.001) in patients with positive outcome, compared to the patients with negative one. Likewise, in right panel, we present the time course of the total lung stress. As shown, total lung stress was significantly lower at baseline (see Table 3) and significantly decreased with time (slope, p < 0.001) in patients with positive outcome, compared to the patients with a negative outcome.
Fig. 2

Left panel: daily time course of the PaO2/FiO2 ratio, in the single patient, with positive outcome (red color) and negative outcome (blue color). Right panel: daily time course of the total lung stress, in the single patient, with positive outcome (red color) and negative outcome (blue color)

Left panel: daily time course of the PaO2/FiO2 ratio, in the single patient, with positive outcome (red color) and negative outcome (blue color). Right panel: daily time course of the total lung stress, in the single patient, with positive outcome (red color) and negative outcome (blue color) The changes of total lung stress and PaO2/FiO2 measured the last day of the study, for the patients with positive or negative outcome are reported in Table S2. As shown, the total lung stress significantly increased in patients with negative outcome.

Discussion

In this study, we investigated the specific features of COVID-19 pneumonia in a well-defined stage of the infection time course, i.e., between the admission to the high-dependency unit to the time of healing or admission to the intensive care unit. In this specific timeframe, we found that the relationship between the severity of the oxygenation impairment and the lung anatomy—as revealed by the quantitative CT scan analysis, contrasts with findings reported in the ARDS literature. Indeed, in all non-COVID ARDS studies, the decrease in PaO2/FiO2 (i.e., greater oxygenation impairment) has been associated with the increase in lung weight and the fraction of non-aerated tissue (reflecting the inflammatory lung edema of ARDS) [19-21]. By contrast, in the present study the lung weight in moderate-severe and severe CARDS was approximately half of what has been described in typical ARDS of similar severity which primarily included bacterial infection from pneumonia and sepsis. In addition, the lung gas-volume in typical ARDS is greatly reduced to the size of a “baby-lung” [22]. By contrast, in the present study the CARDS gas-volume, regardless the severity of gas exchange impairment, was around 2000 ml, i.e., 2 times greater than what has been consistently described in the ARDS literature (see Table S3 in the online supplement for a comparison with typical ARDS). We cannot exclude that other viral pneumonia present similar characteristics. Unfortunately, not sufficient data are available for any comparison. This dissociation between the gas exchange and the anatomical lung characteristics, unique to CARDS, helps answer the strongly debated question of whether CARDS should be considered an atypical form of ARDS [23-26]. No doubt exists that according to the Berlin definition, COVID-19 is classifiable as ARDS (bilateral chest X-ray infiltrates and PaO2/FiO2 ratio < 300 mmHg, measured in our population at a PEEP ≥ 5 cmH2O). On the other hand, there should also be no doubt, that in its early stages, CARDS is fundamentally atypical, as the severity of hypoxemia is unrelated to the severity of the anatomical lung pathology. The mechanisms which may explain this uncoupling are conceptually straightforward: if one excludes intracardiac shunts, the only mechanism which may account for the severe hypoxemia in a lung with nearly normal gas-volume and weight is impaired or dysregulated lung perfusion. We had hypothesized this mechanism by exclusion at the very onset of the pandemic [2, 27]. Since then, altered perfusion as a cause of hypoxemia has been increasingly recognized and documented [28-30]. The atypical features of CARDS have been challenged by several authors who maintain—based on the average value of lung mechanics of the population—that CARDS is little different from other, more familiar forms of ARDS [23, 25, 31]. It is likely that most of these controversies stem from the inclusion of patients invasively ventilated in the later stages of the disease, when the pathological evolution of the disease makes the mechanics of CARDS more closely resemble those of typical ARDS [32].

Negative outcome

The assessment of the negative outcome, i.e., failure of non-invasive respiratory support, and the decision to intubate the patient, were undertaken on a clinical basis. In the supplemental results we report in detail the reasons that led to the intubation of the individual patients. As shown, they manifested progressive worsening of hypoxemia, increase in respiratory effort and delirium. The proportion of patients who were transferred from high-dependency unit to the intensive care unit was 24.3%. This value is in line with what has been observed in larger population studies, in which the proportion of patients transferred to the intensive care unit is similar (~ 20%) [33]. As shown in Table 3, only three variables at day 1 distinguished patients who were eventually intubated: the PaO2/FiO2 ratio, the esophageal pressure swing and the total stress. The latter appears to be a more encompassing and robust variable than the esophageal pressure swing alone, as total stress includes the lung stress generated by PEEP. Of note, the total lung stress was the only variable which independently was associated with outcome in a multiple logistic regression model. However, it is still questionable if a high stress contributes to worsening of COVID-19 pneumonia or if the worsening of pneumonia contributes to an increased stress. Tonelli et al. recently found in COVID-19 patients esophageal pressure swing values comparable to our population. The total stress was also similar as they used 10 cmH2O of PEEP, as in our study [34]. As these values are remarkably lower, about half (12.5 vs 32 cmH2O, respectively), of what they described in typical ARDS, they ruled out a relevant role of P-SILI in determining outcome in CARDS. Actually, we should note that the ventilation induced lung injury is caused by the associated strain (the relative change in volume compared to the functional residual capacity). Due to the curvilinear shape of the stress–strain relationship (analogously to the pressure–volume curve of the respiratory system) the same strain requires higher stress in the “baby” lung than in the adult lung. Therefore, the higher stress measured in typical ARDS may actually correspond to a similar strain in COVID-19 due to their large differences in lung volume and compliance.

Clinical consequences

The primary cause of oxygenation impairment in early CARDS pneumonia, instead of lung edema and collapse, appears to be perfusion dysregulation occurring in a lung with high gas-volume and compliance. Relatively preserved gas-volumes and, consequently, respiratory compliance [20] may account for the ‘silent hypoxemia’ observed in other populations [35] and for the nearly complete absence of dyspnea, as per Borg dyspnea scale, observed in our cohort. The common approach to these patients seems to be a ‘conditioned reflex to hypoxemia’ of the physicians, established from years of practice in treating ARDS. Indeed, international guidelines and most expert panels recommend treating CARDS as typical ARDS [24, 36, 37]: i.e., low tidal volume and high PEEP. However, these recommendations derive from large randomized controlled trials in which almost 80% of the patients had an ARDS from bacterial pneumonia and sepsis [38-41], dependably characterized by lung edema, compression atelectasis and the low gas-volumes consistent with the “baby lung”. Certainly, in these patients, low tidal volume helps prevent excessive strain of the baby lung and high PEEP maintains open the otherwise atelectatic tissue. In our study population the characteristics of CARDS were significantly different: edema was minimal as shown by the lung weight, the lung collapse is likely negligible as inferred from the small amount of non-aerated tissue and by the unchanged esophageal pressure swing during the PEEP test. This differs from the decreased swings that have been observed in typical, recruitable ARDS [42-44]. Therefore, the bulk of data suggest that the use of higher PEEP may be useless or even harmful at this stage of the disease.

Limitations

Most of the results of this study are straightforward, as quantitative CT scan analysis and arterial blood gas analysis are standardized tests. Possible controversies may derive from the computation of total lung stress, which includes the effects of PEEP. We consider this choice mandatory as PEEP, being a pressure, induces a counterforce in the lung tissues, i.e., stress. A possible limitation, however, may be the use of the value of 0.7 as the ratio between lung and total respiratory system elastance, to compute the total stress. This ratio, however, is the average found among ARDS populations [16, 45]. Finally, given the low number of intubated patients in our population, some of the subgroup analyses suffer from low statistical power and should be considered more as hypothesis generating than a proof of a cause–effect relationship.

Conclusions

This study suggests that the total lung stress is independently associated with outcome in early CARDS. Although our data do not allow the determination of whether that stress is a consequence of or a cofactor for disease progression, it appears to be prudent to minimize stress at this stage of the disease. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 699 KB)
Despite fully fitting the ARDS Berlin definition, the COVID-19 pneumonia in its early phase presents pathoanatomical characteristics which make the presently recommended treatment (high PEEP) highly questionable and potentially harmful.
  43 in total

1.  Acute respiratory distress in adults.

Authors:  D G Ashbaugh; D B Bigelow; T L Petty; B E Levine
Journal:  Lancet       Date:  1967-08-12       Impact factor: 79.321

2.  Effect of Noninvasive Ventilation Delivered by Helmet vs Face Mask on the Rate of Endotracheal Intubation in Patients With Acute Respiratory Distress Syndrome: A Randomized Clinical Trial.

Authors:  Bhakti K Patel; Krysta S Wolfe; Anne S Pohlman; Jesse B Hall; John P Kress
Journal:  JAMA       Date:  2016-06-14       Impact factor: 56.272

3.  Regional distribution of gas and tissue in acute respiratory distress syndrome. II. Physiological correlations and definition of an ARDS Severity Score. CT Scan ARDS Study Group.

Authors:  J J Rouby; L Puybasset; P Cluzel; J Richecoeur; Q Lu; P Grenier
Journal:  Intensive Care Med       Date:  2000-08       Impact factor: 17.440

4.  Lung stress and strain during mechanical ventilation for acute respiratory distress syndrome.

Authors:  Davide Chiumello; Eleonora Carlesso; Paolo Cadringher; Pietro Caironi; Franco Valenza; Federico Polli; Federica Tallarini; Paola Cozzi; Massimo Cressoni; Angelo Colombo; John J Marini; Luciano Gattinoni
Journal:  Am J Respir Crit Care Med       Date:  2008-05-01       Impact factor: 21.405

5.  Higher versus lower positive end-expiratory pressures in patients with the acute respiratory distress syndrome.

Authors:  Roy G Brower; Paul N Lanken; Neil MacIntyre; Michael A Matthay; Alan Morris; Marek Ancukiewicz; David Schoenfeld; B Taylor Thompson
Journal:  N Engl J Med       Date:  2004-07-22       Impact factor: 91.245

6.  Reclassifying Acute Respiratory Distress Syndrome.

Authors:  Giorgia Maiolo; Francesca Collino; Francesco Vasques; Francesca Rapetti; Tommaso Tonetti; Federica Romitti; Massimo Cressoni; Davide Chiumello; Onnen Moerer; Peter Herrmann; Tim Friede; Michael Quintel; Luciano Gattinoni
Journal:  Am J Respir Crit Care Med       Date:  2018-06-15       Impact factor: 21.405

Review 7.  The future of mechanical ventilation: lessons from the present and the past.

Authors:  Luciano Gattinoni; John J Marini; Francesca Collino; Giorgia Maiolo; Francesca Rapetti; Tommaso Tonetti; Francesco Vasques; Michael Quintel
Journal:  Crit Care       Date:  2017-07-12       Impact factor: 9.097

8.  Is severe COVID-19 pneumonia a typical or atypical form of ARDS? And does it matter?

Authors:  Ewan C Goligher; V Marco Ranieri; Arthur S Slutsky
Journal:  Intensive Care Med       Date:  2020-11-25       Impact factor: 17.440

9.  Simultaneous Imaging of Lung Perfusion and Glucose Metabolism in COVID-19 Pneumonia.

Authors:  Celso Dario Ramos; Alins P Fernandes; Stephan P M Souza; Mariana Fujiwara; Natalia Tobar; Sergio S J Dertkigil; Maria Emília S Takahashi; Eduardo S L Gonçales; Plinio Trabasso; Denise E Zantut-Wittmann
Journal:  Am J Respir Crit Care Med       Date:  2021-05-01       Impact factor: 21.405

10.  COVID-19 Does Not Lead to a "Typical" Acute Respiratory Distress Syndrome.

Authors:  Luciano Gattinoni; Silvia Coppola; Massimo Cressoni; Mattia Busana; Sandra Rossi; Davide Chiumello
Journal:  Am J Respir Crit Care Med       Date:  2020-05-15       Impact factor: 21.405

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  13 in total

Review 1.  Positive airway pressure longer than 24 h is associated with histopathological volutrauma in severe COVID-19 pneumonia-an ESGFOR based narrative case-control review.

Authors:  Veroniek Saegeman; Marta C Cohen; Jordi Rello; Benjamin Fernandez-Gutierrez; Lydia Abasolo; Amparo Fernandez-Rodriguez
Journal:  Ann Transl Med       Date:  2022-06

2.  Risk Factors for Pulmonary Air Leak and Clinical Prognosis in Patients With COVID-19 Related Acute Respiratory Failure: A Retrospective Matched Control Study.

Authors:  Roberto Tonelli; Giulia Bruzzi; Linda Manicardi; Luca Tabbì; Riccardo Fantini; Ivana Castaniere; Dario Andrisani; Filippo Gozzi; Maria Rosaria Pellegrino; Fabiana Trentacosti; Lorenzo Dall'Ara; Stefano Busani; Erica Franceschini; Serena Baroncini; Gianrocco Manco; Marianna Meschiari; Cristina Mussini; Massimo Girardis; Bianca Beghè; Alessandro Marchioni; Enrico Clini
Journal:  Front Med (Lausanne)       Date:  2022-03-31

Review 3.  Pathophysiology of coronavirus-19 disease acute lung injury.

Authors:  Luigi Camporota; John N Cronin; Mattia Busana; Luciano Gattinoni; Federico Formenti
Journal:  Curr Opin Crit Care       Date:  2022-02-01       Impact factor: 3.687

4.  Orthodeoxia and its implications on awake-proning in COVID-19 pneumonia.

Authors:  Lorenzo Giosa; Didier Payen; Mattia Busana; Alessio Mattei; Luca Brazzi; Pietro Caironi
Journal:  Crit Care       Date:  2021-12-16       Impact factor: 9.097

5.  Awake prone position reduces work of breathing in patients with COVID-19 ARDS supported by CPAP.

Authors:  Davide Chiumello; Elena Chiodaroli; Silvia Coppola; Simone Cappio Borlino; Claudia Granata; Matteo Pitimada; Pedro David Wendel Garcia
Journal:  Ann Intensive Care       Date:  2021-12-20       Impact factor: 6.925

6.  Role of total lung stress on the progression of early COVID-19 pneumonia: collinearity and potential confounders.

Authors:  Benjamin Neetz; Jan Meis; Felix J F Herth; Franziska C Trudzinski
Journal:  Intensive Care Med       Date:  2021-10-27       Impact factor: 17.440

7.  Optimising respiratory support for early COVID-19 pneumonia: a computational modelling study.

Authors:  Liam Weaver; Anup Das; Sina Saffaran; Nadir Yehya; Marc Chikhani; Timothy E Scott; John G Laffey; Jonathan G Hardman; Luigi Camporota; Declan G Bates
Journal:  Br J Anaesth       Date:  2022-03-18       Impact factor: 11.719

Review 8.  Therapeutic Effects of Inhaled Nitric Oxide Therapy in COVID-19 Patients.

Authors:  Nikolay O Kamenshchikov; Lorenzo Berra; Ryan W Carroll
Journal:  Biomedicines       Date:  2022-02-03

Review 9.  Non-invasive Respiratory Support in COVID-19: A Narrative Review.

Authors:  Manel Luján; Javier Sayas; Olga Mediano; Carlos Egea
Journal:  Front Med (Lausanne)       Date:  2022-01-04

10.  Early Measurement of ROX Index in Intermediary Care Unit Is Associated with Mortality in Intubated COVID-19 Patients: A Retrospective Study.

Authors:  Alexandre Leszek; Hannah Wozniak; Amélie Giudicelli-Bailly; Noémie Suh; Filippo Boroli; Jérôme Pugin; Olivier Grosgurin; Christophe Marti; Christophe Le Terrier; Hervé Quintard
Journal:  J Clin Med       Date:  2022-01-12       Impact factor: 4.241

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