Literature DB >> 34825929

Mechanisms of oxygenation responses to proning and recruitment in COVID-19 pneumonia.

Sandra Rossi1, Maria Michela Palumbo2, Nicola Sverzellati3, Mattia Busana2, Laura Malchiodi1, Paolo Bresciani3, Patrizia Ceccarelli1, Emanuele Sani1, Federica Romitti2, Matteo Bonifazi2, Simone Gattarello2,4, Irene Steinberg2, Paola Palermo2,4, Stefano Lazzari2,4, Francesca Collino5, Massimo Cressoni6, Peter Herrmann2, Leif Saager2, Konrad Meissner2, Michael Quintel2, Luigi Camporota7, John J Marini8, Luciano Gattinoni9.   

Abstract

PURPOSE: This study aimed at investigating the mechanisms underlying the oxygenation response to proning and recruitment maneuvers in coronavirus disease 2019 (COVID-19) pneumonia.
METHODS: Twenty-five patients with COVID-19 pneumonia, at variable times since admission (from 1 to 3 weeks), underwent computed tomography (CT) lung scans, gas-exchange and lung-mechanics measurement in supine and prone positions at 5 cmH2O and during recruiting maneuver (supine, 35 cmH2O). Within the non-aerated tissue, we differentiated the atelectatic and consolidated tissue (recruitable and non-recruitable at 35 cmH2O of airway pressure). Positive/negative response to proning/recruitment was defined as increase/decrease of PaO2/FiO2. Apparent perfusion ratio was computed as venous admixture/non aerated tissue fraction.
RESULTS: The average values of venous admixture and PaO2/FiO2 ratio were similar in supine-5 and prone-5. However, the PaO2/FiO2 changes (increasing in 65% of the patients and decreasing in 35%, from supine to prone) correlated with the balance between resolution of dorsal atelectasis and formation of ventral atelectasis (p = 0.002). Dorsal consolidated tissue determined this balance, being inversely related with dorsal recruitment (p = 0.012). From supine-5 to supine-35, the apparent perfusion ratio increased from 1.38 ± 0.71 to 2.15 ± 1.15 (p = 0.004) while PaO2/FiO2 ratio increased in 52% and decreased in 48% of patients. Non-responders had consolidated tissue fraction of 0.27 ± 0.1 vs. 0.18 ± 0.1 in the responding cohort (p = 0.04). Consolidated tissue, PaCO2 and respiratory system elastance were higher in patients assessed late (all p < 0.05), suggesting, all together, "fibrotic-like" changes of the lung over time.
CONCLUSION: The amount of consolidated tissue was higher in patients assessed during the third week and determined the oxygenation responses following pronation and recruitment maneuvers.
© 2021. The Author(s).

Entities:  

Keywords:  ARDS; COVID-19; Lung recruitment; Mechanical ventilation; Prone position

Mesh:

Year:  2021        PMID: 34825929      PMCID: PMC8617364          DOI: 10.1007/s00134-021-06562-4

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


Take-home message

Introduction

Patients with acute respiratory distress syndrome (ARDS) from coronavirus disease 2019 (COVID-19) pneumonia [1] present with highly variable pathophysiological characteristics (e.g., respiratory mechanics, responses to prone position and to recruitment maneuver) despite a similar degree of hypoxemia [2, 3]. To better understand the relationship between gas-exchange, respiratory mechanics, recruitment and response to prone positioning, we studied 25 patients with COVID-19 pneumonia by three computed tomography (CT) scans, taken, for each patient, in a baseline supine condition, in prone position and after a supine recruitment maneuver. Whole lung CT scans and physiological variables were obtained in prespecified, standardized and identical conditions. Our aim was to investigate the association between anatomical and physiological changes induced by prone positioning, recruitment and their possible uncoupling. We present a conceptual rationale regarding the mechanisms leading to the observed changes.

Materials and methods

Study population

We studied 25 COVID-19 pneumonia patients, admitted in the intensive care unit (ICU) of the Parma University, between March, 18th 2020, and January 29th 2021. The informed consent was obtained using a remote process after discharge. Protocol number of the ethical committee: Comitato Etico Azienda Ospedaliera-Universitaria di Parma, 779/2020/OSS/AOUPR. Although our intention was to consecutively study all admitted COVID-19 patients, this was impossible for logistic reasons (man power required to perform the study and availability of the dedicated CT scan). Within this frame, the patients were not arbitrarily selected, but studied whenever possible. Every patient was measured only at one single time point. Therefore, our analyses are not intended to provide longitudinal “follow-up” but to elucidate the physiological and CT characteristics of patients studied over that timeframe following their hospital admission (see supplementum for further details).

Study protocol

Supine-5: Patients were ventilated (volume control) in supine position, with a tidal volume 6–8 ml/kg, respiratory rate 15–20 breaths/min, positive end-expiratory pressure (PEEP): 5 cmH2O, and FiO2 adjusted to achieve an oxygen saturation (SpO2) target of 92–95%. Arterial and central venous blood samples were drawn at the same time by two staff members after a 5-min stabilization period [4]. Immediately afterward, a chest CT scan was performed at end-expiration while maintaining an airway pressure of 5 cmH2O. Prone-5: After proning, patients were ventilated as in supine-5 for 5 min. Arterial and central venous blood samples were drawn as in supine-5. Chest CT scan was performed at end-expiration while maintaining an airway pressure of 5 cmH2O. Supine-35: After turning the patient back to the supine position, the ventilation mode was changed from volume control to pressure control for 2 min, with respiratory rate set at 10 breaths per minute, peak inspiratory pressure of 35 cmH2O, PEEP 5 cmH2O and FiO2 as in volume control. Arterial and central venous blood samples were drawn as in supine-5. CT scan was performed at an inspiratory airway pressure of 35 cmH2O. We chose 35 cmH2O as the maximum airway pressure instead of 45 cmH2O [5], considering the higher incidence of pneumothorax reported in COVID-19 compared to ARDS from other etiologies [6]. FiO2 was maintained constant throughout the experimental steps.

CT scan analysis

By quantitative analysis of CT scan [7], we measured the lung anatomical variables as previously described [8]. In addition, comparing the CT scan in supine-5 and supine-35, we differentiated the atelectasis (“empty” and openable pulmonary units) from consolidation (“full” and non-openable pulmonary units).

Definitions

Consolidation refers to a substitution of alveolar gases with material, while atelectasis refers to emptying the alveolar units from gases. We quantified consolidated lung tissue as follows: Therefore, we considered as consolidated, the fraction of non-aerated tissue which could not regain aeration at 35 cmH2O of airway pressure, i.e., the amount of aerated tissue after the recruitment maneuver. We quantified atelectatic lung tissue and atelectatic tissue fraction as follows: To investigate the relationship between the non-aerated tissue fraction and venous admixture, we calculated the “apparent perfusion ratio” [9] which expresses the ratio between the perfusion of each gram of non-aerated tissue and the perfusion of each gram of aerated tissue (see supplement for derivation).where Qva/Q is the venous admixture according to Riley’s model [10]. A value of apparent perfusion ration = 1 indicates equal perfusion in non-aerated and aerated tissue, < 1 indicates relative hypoperfusion of the former, and > 1 its relative hyperperfusion.

Statistical analysis

Data are presented as mean ± standard deviation or median and interquartile range, as appropriate. The chi-square test or Fisher´s exact test of independence was used for categorical variables, T-Test for continuous variables and non-parametric test (Kruskal–Wallis test) in case of non-normal distribution. Linear regression was used to assess the relationship between continuous variables. A One-way ANOVA test for repeated measure was used to account for the repeated measures design and Tukey post-hoc test for multiple comparisons. Two-tailed p values < 0.05 were considered statistically significant. Rstudio for Statistical Computing with the Tidyverse package collection was used for analysis.

Results

As shown in Table 1, the average time between hospital admission and study enrollment was 11 ± 6 days (from 3 to 24 days). At the time of study, the majority of the patients satisfied the criteria of moderate ARDS, according to Berlin criteria, and the overall hospital mortality was 32%. All patients were routinely treated with prone position.
Table 1

Clinical characteristics of the study cohort

VariablesPopulation (n = 25)
Female (n—%)5 (20)
Age (years)62.6 ± 8.4
Height (cm)171 ± 9.7
Body mass index—BMI (kg/m2)28.9 ± 4.3
Simplified acute physiology score II36.7 ± 10.3
Days from symptoms onset to study day18.2 ± 8
Days from hospital admission to study day11 ± 6
Days of non-invasive support prior to mechanical ventilation5.5 ± 3.9
Days of mechanical ventilation to study day4.9 ± 4.7
Berlin ARDS category at the study day—n (%)
 - Mild2 (8)
 - Moderate16 (64)
 - Severe7 (28)
Hospital length of stay60.7 ± 32
Intensive care unit length of stay27.8 ± 18.15
Mortality (n—%)8 (32)
Clinical characteristics of the study cohort

Anatomical and physiological variables in supine-5, prone-5 and supine-35

The most relevant anatomical and physiological variables we measured in prone-5, supine-5 and supine-35 are shown in Table 2. As indicated, there were only few significant changes with repositioning from supine-5 to prone-5. In particular, the amounts of gas and the fractions of normally, poorly, and non-aerated tissue were similar for prone-5 and supine-5, while the atelectatic tissue fraction significantly decreased from 13 to 8%. Gas-exchange variables were similar between supine-5, and prone-5, while the respiratory system mechanics worsened from supine-5 to prone-5 due to an increase of respiratory system elastance, likely due to the increased stiffness of the anterior chest wall [11]. pH was slightly but significantly higher in prone-5 than in the other two conditions.
Table 2

Physio-anatomical variables of the study cohort

Study variablesSupine—5 cmH2OProne—5 cmH2OSupine—35 cmH2Op value
Computed tomography scan
 Total tissue mass (g)1291 ± 3801304 ± 3921324 ± 3850.9
 Total gas volume (ml)1101 ± 6471151 ± 6962107 ± 969ab < 0.001
 Overinflated tissue/total tissue mass (%)0.7 ± 1.40.7 ± 1.32.3 ± 3.3a0.002
 Normally inflated tissue/total tissue mass (%)26 ± 1327 ± 1443 ± 13ab < 0.001
 Poorly inflated tissue/total tissue mass (%)37 ± 839 ± 1032 ± 8b0.02
 Non-areated tissue/total tissue mass (%)36 ± 1432 ± 1523 ± 11ab0.001
 Atelectatic tissue/total tissue mass (%)13 ± 118 ± 110 ± 00.011
 Consolidated tissue/total tissue mass (%)23 ± 1124 ± 1123 ± 110.85
 Consolidated tissue/non aerated tissue (%)67.2 ± 23.378.8 ± 28.9100 ± 00.016
Gas exchange
 FiO20.72 ± 0.190.72 ± 0.190.72 ± 0.190.99
 PaO2/FiO2 (mmHg)129.9 ± 54.98144.3 ± 59.6147.2 ± 75.60.7
 Arterial hemoglobin oxygen saturation (%)92.5 ± 7.593.6 ± 7.594.16 ± 6.630.5
 Venous admixture (QVA/Q), (%)46 ± 242 ± 1641 ± 180.7
 PaCO2 (mmHg)51.2 ± 9.949.4 ± 11.645.9 ± 12.30.1
 pH7.4 ± 0.057.4 ± 0.047.44 ± 0.070.04
 Base excess (mmol/l)5.7 ± 3.85.76 ± 3.95.8 ± 3.90.96
 End-tidal CO2 (mmHg)42 ± 9.739.8 ± 8.138.4 ± 11.20.43
 Ventilatory ratio1.56 ± 0.511.44 ± 0.591.96 ± 0.69b0.005
Respiratory mechanics
 Minute ventilation (l/min)8.3 ± 1.98 ± 2.312.5 ± 5ab < 0.001
 Tidal volume (ml/kg)6.6 ± 1.16.4 ± 1.516.5 ± 5.4ab < 0.001
 Peak pressure (cmH2O)21.4 ± 4.326.7 ± 636.2 ± 2.2abc < 0.001
 Plateau pressure (cmH2O)20.5 ± 4.225.4 ± 635 ± 2abc < 0.001
 Driving pressure (cmH2O)15.5 ± 4.220.3 ± 630.2 ± 2.2abc < 0.001
 Respiratory system elastance (cmH2O/ml)35.1 ± 11.347.9 ± 2029.8 ± 11.3bc < 0.001
Hemodinamics
 (av) O2 difference (ml/100 ml)2.5 ± 1.12.66 ± 0.872.7 ± 10.75
 CaO2 – Arterial oxygen content (ml/dl)14.9 ± 2.515 ± 2.815 ± 2.50.9
 CvO2 – Venous oxygen content (ml/dl)12.3 ± 2.512.3 ± 2.612.3 ± 2.40.99
 Central venous hemoglobin oxygen saturation (%)76.9 ± 877.8 ± 8.377.6 ± 8.20.96
 Apparent perfusion ratio1.38 ± 0.711.42 ± 0.562.15 ± 1.15ab0.02

Analysis of the groups based on the three different steps. Overinflated, normally aerated, poorly aerated, non-aerated tissue fraction, atelectatic and consolidated (%) fractions are expressed as percentages of tissues on the total tissue mass. Normal distribution for continuous variables has been tested with the Shapiro–Wilk test. Differences between groups are tested with one-way repeated measure ANOVA, in case of normally distributed variables, and Tukey post-hoc test for multiple comparisons, while non-normally distributed variables are tested with the non-parametric Kruskal–Wallis test. In the table

ap < 0.05 on ANOVA: post_hoc test significant between supine-5 and supine-35

bp < 0.05 on ANOVA: post_hoc test significant between supine-35 and prone-5

cp < 0.05 on ANOVA: post_hoc test significant between prone-5 and supine-5

Physio-anatomical variables of the study cohort Analysis of the groups based on the three different steps. Overinflated, normally aerated, poorly aerated, non-aerated tissue fraction, atelectatic and consolidated (%) fractions are expressed as percentages of tissues on the total tissue mass. Normal distribution for continuous variables has been tested with the Shapiro–Wilk test. Differences between groups are tested with one-way repeated measure ANOVA, in case of normally distributed variables, and Tukey post-hoc test for multiple comparisons, while non-normally distributed variables are tested with the non-parametric Kruskal–Wallis test. In the table ap < 0.05 on ANOVA: post_hoc test significant between supine-5 and supine-35 bp < 0.05 on ANOVA: post_hoc test significant between supine-35 and prone-5 cp < 0.05 on ANOVA: post_hoc test significant between prone-5 and supine-5 To reach an inspiratory airway pressure of 35 cmH2O during the recruitment maneuver required the use of significantly larger tidal volume and driving pressures in supine-35, compared to supine-5 and prone-5. Therefore, the gas volume, the overinflated and the normally aerated tissue fractions were higher in supine-35, compared to supine-5 and prone-5, while the poorly and the non-aerated tissue fractions were significantly lower. The respiratory system elastance decreased significantly in supine-35, reflecting the reduction in non-aerated tissue. Regardless the overall improvement of tissue aeration, however, the gas-exchange variables did not improve and were similar to prone-5 and supine-5. In addition, the ventilatory ratio significantly deteriorated in supine-35. The arterio-venous (a-v) O2 content difference, and the central venous oxygen saturation, considered here as a surrogate of cardiac output, were similar in the three conditions we tested. However, during the supine-35, a slight but significant decrease of mean arterial pressure and heart rate was observed. Therefore, changes in cardiac output cannot be excluded. The apparent perfusion ratio, an indicator of the perfusion of non-aerated tissue relative to the perfusion of aerated tissue [9], almost doubled in supine-35, compared to supine-5 and prone-5.

Prone position: anatomical and physiological response

Repositioning from supine-5 to prone-5 caused a significant change in lung shape. Indeed, in prone position the fraction of the total tissue mass in the upper half of non-dependent lung was 61.5 ± 0.05%, almost double that in supine position (32 ± 0.04%, p < 0.001). The tissue distribution is represented in Fig. 1, upper panels. As shown (panel C), in prone position the non-aerated tissue increased in the ventral levels of the lung while it decreased in the dorsal ones. In other words, in prone position new ventral atelectasis were formed, while the dorsal atelectasis present in supine position regained aeration and disappeared. The formation and dissolution of atelectasis was a function of the changes in hydrostatic superimposed pressure (see Fig. E1). Indeed, in prone position, the ventral atelectasis appeared because of the increased compression exerted by the weight of the lung above, while the dorsal atelectasis disappeared as the compression was released. As opposed to the non-aerated tissue, the well-aerated tissue increased in the dorsal regions during prone positioning and decreased in the ventral zones, compared to supine (Fig. 1, panel A).
Fig. 1

Upper panels: Tissue mass distributions of normally aerated (A), poorly aerated (B) and non-aerated tissues (C), as a function of lung segments (mean ± se) along the sterno (segment 1)-vertebral (segment 10) axis, in supine-5 (blue) and prone-5 positions (red). A The normally aerated tissue, in supine position, was more distributed in the ventral regions (segments 1 to 5, 179 gr ± 56, SD) and decreased in dorsal regions (segments 5 to 10, 122 gr ± 74, SD) (p < 0.001). In prone position, in contrast, it was less distributed in the ventral regions (segments 1 to 5, 122 gr ± 60, SD) and more in dorsal regions (segments 5 to 10, 200 gr ± 84, SD) (p < 0.001). B The poorly aerated tissue, in supine position, was less distributed in the ventral regions (segments 1 to 5, 161 gr ± 94, SD) and increased in dorsal regions (segments 5 to 10, 320 gr ± 112, SD) (p < 0.001). Similarly, in prone position it was less distributed in the ventral regions (segments 1 to 5, 211 gr ± 87, SD) and more in dorsal regions (segments 5 to 10, 298 gr ± 101, SD) (p < 0.001). C: the non-aerated tissue, in supine position, was markedly less distributed in the ventral regions (segments 1 to 5, 73 gr ± 92, SD) than in dorsal regions (segments 5 to 10, 427 gr ± 254, SD) (p < 0.001). Similarly, in prone position it was less distributed in the ventral regions (segments 1 to 5, 169 gr ± 154, SD) and more in dorsal regions (segments 5 to 10, 294 gr ± 209, SD) (p < 0.001). Note that differences in column heights between prone and supine from 1 to 5 indicate the formation of ventral atelectasis, while from segments 6 to 10 it indicates the disappearance of the dorsal atelectasis. Lower panels: Tissue mass distributions of normally aerated (A), poorly aerated (B) and non-aerated tissues (C), as a function of lung segments (mean ± se) along the sterno (segment 1)-vertebral (segment 10) axis, in supine-5 (blue) and supine-35 (okra yellow). D The normally aerated tissue was greater in supine-35 than in supine-5, in each of the ten segments (total normally aerated tissue 535 gr ± 171 SD vs 302 gr ± 116 SD, respectively, p < 0.001). E The poorly aerated tissue, was similar in supine-35 and in supine-5 and similarly distributed in each of the ten segments (total poorly aerated tissue 439 gr ± 189 SD vs 481 gr ± 154 SD, respectively). F: the non-aerated tissue was greater in supine-5 than in supine-35, in each of the ten segments (total non-aerated tissue 499 gr ± 328 SD vs 323 gr ± 249 SD, respectively, p < 0.05). Note that the height of the red columns represents the consolidated tissue and the difference between supine-5 and supine-35 columns represents the atelectatic tissue prevalent in the dorsal lung segments (from 5 to 10)

Upper panels: Tissue mass distributions of normally aerated (A), poorly aerated (B) and non-aerated tissues (C), as a function of lung segments (mean ± se) along the sterno (segment 1)-vertebral (segment 10) axis, in supine-5 (blue) and prone-5 positions (red). A The normally aerated tissue, in supine position, was more distributed in the ventral regions (segments 1 to 5, 179 gr ± 56, SD) and decreased in dorsal regions (segments 5 to 10, 122 gr ± 74, SD) (p < 0.001). In prone position, in contrast, it was less distributed in the ventral regions (segments 1 to 5, 122 gr ± 60, SD) and more in dorsal regions (segments 5 to 10, 200 gr ± 84, SD) (p < 0.001). B The poorly aerated tissue, in supine position, was less distributed in the ventral regions (segments 1 to 5, 161 gr ± 94, SD) and increased in dorsal regions (segments 5 to 10, 320 gr ± 112, SD) (p < 0.001). Similarly, in prone position it was less distributed in the ventral regions (segments 1 to 5, 211 gr ± 87, SD) and more in dorsal regions (segments 5 to 10, 298 gr ± 101, SD) (p < 0.001). C: the non-aerated tissue, in supine position, was markedly less distributed in the ventral regions (segments 1 to 5, 73 gr ± 92, SD) than in dorsal regions (segments 5 to 10, 427 gr ± 254, SD) (p < 0.001). Similarly, in prone position it was less distributed in the ventral regions (segments 1 to 5, 169 gr ± 154, SD) and more in dorsal regions (segments 5 to 10, 294 gr ± 209, SD) (p < 0.001). Note that differences in column heights between prone and supine from 1 to 5 indicate the formation of ventral atelectasis, while from segments 6 to 10 it indicates the disappearance of the dorsal atelectasis. Lower panels: Tissue mass distributions of normally aerated (A), poorly aerated (B) and non-aerated tissues (C), as a function of lung segments (mean ± se) along the sterno (segment 1)-vertebral (segment 10) axis, in supine-5 (blue) and supine-35 (okra yellow). D The normally aerated tissue was greater in supine-35 than in supine-5, in each of the ten segments (total normally aerated tissue 535 gr ± 171 SD vs 302 gr ± 116 SD, respectively, p < 0.001). E The poorly aerated tissue, was similar in supine-35 and in supine-5 and similarly distributed in each of the ten segments (total poorly aerated tissue 439 gr ± 189 SD vs 481 gr ± 154 SD, respectively). F: the non-aerated tissue was greater in supine-5 than in supine-35, in each of the ten segments (total non-aerated tissue 499 gr ± 328 SD vs 323 gr ± 249 SD, respectively, p < 0.05). Note that the height of the red columns represents the consolidated tissue and the difference between supine-5 and supine-35 columns represents the atelectatic tissue prevalent in the dorsal lung segments (from 5 to 10) Although the differences in PaO2/FiO2 and QVA/Q, between supine-5 and prone-5, did not reach statistical significance (see Table 2), their changes when going from supine to prone position were independently correlated both with the changes of the non-aerated tissues (i.e., the balance between “old” dorsal atelectasis, which disappeared, and “new” ventral atelectasis, which appeared) and with the changes of its apparent perfusion ratios (see Fig. E2 for the individual responses and, see Figs. E3 and E4 for regressions). It is worth noting that the consolidated tissue maintains its anatomical location (either dorsal or ventral) independently on the position (Fig. E5) and this carries three consequences: first, the dorsal consolidated tissue does not reopen and cannot contribute to improve oxygenation. Second, the ventral atelectasis anyway develops to the increased compressive forces (p = 0.012, Fig. E6). Last, the final result is a greater venous admixture in prone-5 than in supine-5 (p = 0.018, Fig. E7). Thirty-five percent of the patients experienced a negative PaO2/FiO2 difference in the prone position relative to the supine position, and 65% could be classified as non-responders, having undergone a PaO2/FiO2 increase ≤ 20 mmHg [12].

Recruitment: anatomical and physiological response

The tissue distributions along the sterno-vertebral axis in supine-5 and supine-35 are represented in Fig. 1, lower panels. As shown in panel D, the normally aerated tissue in supine-35 increased remarkably at each lung level compared to supine-5. The poorly aerated tissue (Panel E) was slightly more prevalent in supine-5 and decreased in supine-35, while the non-aerated tissue (Panel F) significantly decreased, primarily in the dorsal dependent regions. In the different levels from 1 to 10, the differences in the heights of the non-aerated tissue of supine-5 and 35 columns quantify the amount of atelectatic tissue which disappeared at 35 cmH2O of inspiratory pressure (176.8 ± 187 g/patient). Although the differences in PaO2/FiO2 and QVA/Q, between supine-5 and supine-35, did not reach statistical significance (see Table 2), the changes of QVA/Q when increasing the airway pressure from 5 to 35 cmH2O, were correlated with the changes of the non-aerated tissues (i.e., the re-aeration of the atelectasis) (see Fig. E8), while the perfusion ratio of consolidated tissue increased from 1.4 in supine-5, to 2.15 in supine-35 (p < 0.001). Of note, 48% of the patients experienced a decrease in PaO2/FiO2, during the recruitment maneuver (see Table E1 in supplement and Fig. E9 for the individual responses).

Anatomical/physiological variables and time

In Fig. 2 we illustrate the distribution of consolidated and atelectatic tissues in patients studied during the first-, the second- and the third week following their hospital admission. As shown, the consolidated tissue was lower in patients studied during the first week than in patients studied in the third week from hospital admission, and its fraction significantly correlated with the time elapsed between hospital admission and the study day (p = 0.013, Fig. E10). This increase in consolidation was paralleled by a similar increase of the respiratory system elastance (p = 0.03, Fig. E11). In contrast, the amount of atelectatic tissue did not change significantly with elapsed time.
Fig. 2

Distributions of atelectatic (blue columns) and consolidated tissue (okra yellow columns) in the ten lung segments (mean ± se) along the sterno-vertebral axis, as a function of time elapsed from admission to the study day. A First week (n = 10); B, second week (n = 10) and C, third week (n = 5). As shown, there was a significant increase of consolidated tissue overtime (p < 0.05 at the repeated measures ANOVA), while the decrease of atelectatic tissue did not reach the statistical significance

Distributions of atelectatic (blue columns) and consolidated tissue (okra yellow columns) in the ten lung segments (mean ± se) along the sterno-vertebral axis, as a function of time elapsed from admission to the study day. A First week (n = 10); B, second week (n = 10) and C, third week (n = 5). As shown, there was a significant increase of consolidated tissue overtime (p < 0.05 at the repeated measures ANOVA), while the decrease of atelectatic tissue did not reach the statistical significance The differences between anatomical, physiological and clinical variables recorded in the three different weeks are presented in Table 3. As shown, the PaO2/FiO2 variables were similar at entry to hospital and remained similar throughout the weeks. In contrast, the PaCO2 and the ventilatory ratio were higher if the time elapsed from hospital admission to the day of study was greater (p = 0.008 and p = 0.01, Fig. E12).
Table 3

Physio-anatomical variables and time recorded at Supine-5

Study variables (at the study day, supine-5)I weekII weekIII weekp value
Gas exchange
 PaO2/FiO2 at the study day (mmHg)128 ± 37139 ± 70117 ± 610.77
 QVA/QT at the study day (%)49 ± 2243 ± 2048 ± 220.8
 PaCO2 at the study day (mmHg)48 ± 651 ± 1058 ± 140.39
 Ventilatory ratio1.4 ± 0.331.5 ± 0.52 ± 0.6cd0.03
Respiratory mechanics
 Tidal volume (ml/kg)469 ± 55447 ± 79426 ± 820.54
 Minute ventilation (l/min)7.8 ± 1.28 ± 29.8 ± 20.13
 Plateau pressure (cmH2O)20.4 ± 419 ± 3.723 ± 50.2
 Driving pressure (cmH2O)15.3 ± 414.2 ± 3.718.2 ± 50.2
 Respiratory system elastance (cmH2O/ml)32 ± 633 ± 1344 ± 130.14
Hemodynamics
 CaO2 – Arterial oxygen content (ml/dl)16 ± 1.815 ± 2.712 ± 10.01
 CvO2 – Venous oxygen content (ml/dl)13.5 ± 2.412.5 ± 2.59.8 ± 0.80.02
 Central venous hemoglobin oxygen saturation (%)78 ± 7.777 ± 8.774 ± 80.7
 Apparent perfusion ratio1.82 ± 0.961.09 ± 0.291.12 ± 0.20.12
Computed tomography scan
 Total tissue mass (g)1190 ± 3091302 ± 3831471 ± 5040.42
 Total gas volume (ml)1279 ± 7501019 ± 589906 ± 5640.3
 Consolidated tissue/total tissue mass (%)16 ± 725 ± 1131 ± 10c0.02
 Atelectatic tissue/total tissue mass (%)12 ± 1114 ± 1110 ± 130.55
Response to proning and recruitment
 Patients—non responders to prone (%)a44671000.58
 Patients—decrease PaO2/FiO2 during recruitment (%)20501000.014
 Total non-invasive ventilatory support before intubation (days)2.6 ± 1.67.3 ± 2.49 ± 5.4bc0.001
 Invasive ventilatory support before study (days)3 ± 1.74.4 ± 310.6 ± 70.07
 Simplified Acute Physiology Score II (SAPS II)33 ± 934 ± 648 ± 14cd0.1
 Mortality (%)1030800.02

Analysis of the groups based on the three consequent weeks of the time elapsed between the hospital admission and the study day. Normal distribution for continuous variables has been tested with the Shapiro–Wilk test. Differences between groups, for normally distributed variables, are tested with one-way repeated measure ANOVA and Tukey post-hoc test for multiple comparisons, while non-normally distributed variables with the non-parametric Kruskal–Wallis test. All the values refer to supine-5 position otherwise specified. Chi-square test of independence was used to test significance in case of frequency count

aPatients here defined as non responders to prone position when Delta PaO2/FiO2 ≥ 20 mmHg

bp < 0.05 on ANOVA: post_hoc test significant between I week and II week

cp < 0.05 on ANOVA: post_hoc test significant between I week and III week

dp < 0.05 on ANOVA: post_hoc test significant between II week and III week

Physio-anatomical variables and time recorded at Supine-5 Analysis of the groups based on the three consequent weeks of the time elapsed between the hospital admission and the study day. Normal distribution for continuous variables has been tested with the Shapiro–Wilk test. Differences between groups, for normally distributed variables, are tested with one-way repeated measure ANOVA and Tukey post-hoc test for multiple comparisons, while non-normally distributed variables with the non-parametric Kruskal–Wallis test. All the values refer to supine-5 position otherwise specified. Chi-square test of independence was used to test significance in case of frequency count aPatients here defined as non responders to prone position when Delta PaO2/FiO2 ≥ 20 mmHg bp < 0.05 on ANOVA: post_hoc test significant between I week and II week cp < 0.05 on ANOVA: post_hoc test significant between I week and III week dp < 0.05 on ANOVA: post_hoc test significant between II week and III week Although only the consolidated tissue was significantly greater over the three weeks, there was a clear tendency to worsening of all the other anatomical variables explored. Of note, the frequency of patients who showed a negative delta PaO2/FiO2 to prone positioning and to recruitment increased progressively over time. Similarly, the PaCO2 response to prone positioning (p = 0.047) and recruitment (p = 0.016), deteriorated significantly with the time elapsed from hospital admission to CT scan (Fig. E13).

Discussion

Response to the prone position

Several phenomena occur contemporaneously when patients are shifted from supine to the prone position, as a more homogeneous distribution of tissue mass, gas-to-tissue ratio and an increase in chest wall elastance [13]. All these elements are of great relevance in providing a better distribution of stress and strain and, therefore, contributed to lung protection [14]. As far as oxygenation is concerned, however, the primary phenomenon is the balance between the release of dorsal atelectasis and its formation in the ventral zones. This density “redistribution” has been consistently observed in early ARDS [15, 16], where the tissue collapse in the ventral regions is associated with a near total re-expansion of collapsed dorsal lung units (see Fig. E14, panel A). However, if a significant amount of consolidated tissue is present in dorsal regions, as in our patients with COVID-19, the dorsal de-collapse in prone is very limited as the irreversibly consolidated tissue cannot reopen (see Fig. E14, panel B) while the ventral regions still bear the weight of the dorsal regions situated above them. This compression (i.e., the superimposed pressure) determines the formation of ventral atelectasis. Therefore, the lesser or greater amount of consolidated tissue within the non-aerated tissue in dorsal lung regions accounts for the huge variation of recruited/derecruited tissue between prone-5 and supine-5 positions, ranging from + 225 to -120 g (model in Fig. E15). Although the prone position is largely used in COVID-19 to improve oxygenation, in our population we found that Delta PaO2/FiO2 was negative in 35% of the patients when in the prone position, and 65% could be classified as a “non-responder”, according to the previously used threshold of Delta PaO2/FiO2 (prone-supine) ≤ 20 mmHg [12]. We found two variables that were independently associated with the position-related PaO2/FiO2 changes, i.e., recruitment/derecruitment (the balance between dorsal and ventral atelectasis) and the changes of the apparent perfusion ratio. In experimental models [17-19] and in normal subjects [20, 21], the perfusion does not change significantly with position, and the recruitment/derecruitment ratio fully accounts for the changes of PaO2/FiO2. In COVID-19 patients, however, where the loss of perfusion control is a characteristic trait [22-25], we found that the changes of the perfusion ratio contribute to the changes of PaO2/FiO2. Indeed, an increase of perfusion ratio, i.e., a gravity dependent increase of perfusion of the ventral atelectasis dampens or reverses any PaO2/FiO2 rise due to recruitment.

Response to recruitment

Several studies reported recruitability and response to PEEP increase in COVID-19 patients, by using different techniques for recruitment assessment, from CT scan [26] to recruitment/inflation ratio [27]. Although the responses were variable, the majority of the studies observed a limited rectruitability and poor responses to PEEP [2, 27, 28]. The mechanism underlying these different responses, however, are still unclear. In our population cohort, two phenomena appeared to occur simultaneously when the airway pressure was raised from supine-5 to supine-35. On the one hand, all the atelectasis present in supine-5 disappeared in supine-35 (as per our definition). For an unchanged perfusion of the previous atelectatic tissue, this phenomenon per se should promote an increase of PaO2/FiO2. On the other hand, perfusion diverted from previously atelectatic tissue to consolidated tissue, almost doubling its apparent perfusion ratio (see Table 3). These phenomena per se should lead to a decrease of PaO2/FiO2. Therefore, the changes of oxygenation during recruitment in these patients would depend by the balance between reopening of atelectasis and perfusion re-distribution. Actually, the 12 patients who decreased their PaO2/FiO2 after increasing the pressure to 35 cmH2O had less atelectatic tissue fraction to be recruited than the patients who increased their PaO2/FiO2 (0.19 ± 0.15 vs 0.45 ± 0.23; p = 0.002) (see Table E1 in supplement). In addition, the patients who decreased their PaO2/FiO2 had significantly higher consolidated tissue fraction (and increased perfusion at 35 cmH2O), than did the patients in whom the PaO2/FiO2 increased by that maneuver (consolidated tissue fraction 0.27 ± 0.10 vs 0.18 ± 0.10, p = 0.04) (see Table E1 in supplement).

The role of time

Our data do not allow us to prove the role of time on COVID-19 pneumonia evolution. Indeed, our patients were not studied longitudinally. We observed, however, that the frequency of higher elastance, lower gas-volume, higher PaCO2 and ventilatory ratio, greater consolidation and lack of response to prone positioning and lung recruitment were higher in the patients studied in the third week rather than those studied in an earlier stage of the disease. As the prevalence of these changes are coherent with a progressive evolution of the lung pathology towards organizing pneumonia and “fibrosis-like” status [29-32] it is tempting to speculate that time had a key-role on the evolution of COVID-19 pneumonia. A decreased response with time to prone position and recruitment manoeuvers, however, has been previously described in COVID-19 and in non-COVID-19 ARDS [31, 33, 34].

Limitations

A major limitation of the study is the relatively small sample size of the study cohort and lack of longitudinal design, as different patients were studied at different time-points. Another limitation is the lack of formal randomization of the prone-supine positions sequence. These limitations were largely due to the complexity of the protocol and to logistical difficulties imposed by the pandemic. Indeed, this study was feasible only on days when sufficient workforce and COVID-19 dedicated CT were available. We should note, however, that we are dealing with a disease (similar in all patients, and not with a syndrome). Moreover, most prior advances in understanding the pathophysiology of ARDS by CT scan, such as the baby lung [35], density redistribution in prone position [15] and mechanisms of opening pressures [36-38] were achieved by carefully studying a similar or lower number of patients. In this study we used a total recruitment pressure of 35 cm H2O, compared with the standard value of 45 cm H2O. Despite our choice could lead to an overestimation of the consolidated tissue, we opted for this choice for safety reasons. Another shortcoming of this study is the lack of full hemodynamic data, which impedes more thorough understanding of gas-exchange variations. In addition, the Qva/Q was measured using a central venous instead of a mixed venous blood.

Conclusions

In conclusion, we show that in unresolving COVID-19 pneumonia, the respiratory mechanics and the gas-exchange response to prone positioning and recruitment largely depend on the following two factors: perfusion dysregulation and the amount of consolidated tissue. As the amount of consolidated tissue was different among patients studied at different weeks since admission, it is possible that the respiratory treatment administered should be changed according to the stage of the disease. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 8405 KB) Supplementary file2 (DOCX 33 KB)
In early COVID-19 pneumonia, the hypoxemia is primarily due to Va/Q mismatch and meanwhile, in late stages, to right-to-left shunt. The response to prone position and recruitment decreased along time due to progressive lung consolidation versus atelectasis.
  13 in total

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