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      Electrical Impedance Tomography for Positive End-Expiratory Pressure Titration in COVID-19–related Acute Respiratory Distress Syndrome

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          To the Editor: Coronavirus disease (COVID-19) spreads rapidly and has already resulted in severe burden to hospitals and ICUs worldwide. Early reports described progression to acute respiratory distress syndrome (ARDS) in 29% of cases (1). It is unknown how to titrate positive end-expiratory pressure (PEEP) in patients with ARDS. Patient survival improved if higher PEEP successfully recruited atelectatic lung tissue (2). However, excessive PEEP caused alveolar overdistention, resulting in reduced patient survival (3). Therefore, PEEP should be personalized to maximize alveolar recruitment and minimize the amount of alveolar overdistention. Electrical impedance tomography (EIT) provides a reliable bedside approach to detect both alveolar overdistention and alveolar collapse (4). We describe a case series of patients with COVID-19 and moderate to severe ARDS in whom EIT was applied to personalize PEEP based on the lowest relative alveolar overdistention and collapse. Subsequently, we compared this PEEP level with the PEEP that could have been set according to the lower or higher PEEP–Fi O2 table from the ALVEOLI trial (5). These early experiences may help clinicians to titrate PEEP in patients with COVID-19 and ARDS. Methods Study design and inclusion criteria We conducted this case series between March 1, 2020, and March 31, 2020, in our tertiary referral ICU (Erasmus Medical Center, Rotterdam, the Netherlands). All consecutive mechanically ventilated patients admitted to the ICU with COVID-19 and moderate to severe ARDS (according to the Berlin definition of ARDS) were included in this study. COVID-19 was defined as a positive result on a PCR of sputum, nasal swab, or pharyngeal swab specimen. The local medical ethical committee approved this study. Informed consent was obtained from all patients’ legal representatives. Study protocol A PEEP trial was performed daily in all patients according to our local mechanical ventilation protocol. Patients were fully sedated with continuous intravenous infusion of propofol, midazolam, and opiates. Persisting spontaneous breathing efforts were prevented with increased sedation or neuromuscular blockade. Arterial blood pressure was measured continuously. Noradrenalin was titrated to maintain a mean arterial blood pressure above 65 mm Hg at the start of the PEEP trial. All patients were ventilated in pressure-control mode. Fi O2 was titrated to obtain a peripheral oxygen saturation between 92% and 95%. The other mechanical ventilation parameters (i.e., PEEP driving pressure, respiratory rate, and inspiratory/expiratory ratio) remained unchanged. Plateau airway pressure and total PEEP were measured during a zero-flow state with an inspiratory and expiratory hold procedure, respectively. Absolute transpulmonary pressures were measured with an esophageal balloon catheter (CooperSurgical or NutriVent). The position and balloon inflation status were tested with chest compression during an expiratory hold maneuver. We monitored bedside ventilation distribution with EIT (Pulmovista 500; Dräger or Enlight 1800; Timpel). An EIT belt was placed around the patient’s thorax in the transversal plane corresponding with the fourth to fifth intercostal parasternal space. The belt was placed daily (Pulmovista) or once in 3 days (Enlight), according to manufacturer’s instructions. EIT data were visualized on screen during the entire study protocol without repositioning the EIT belt. Subsequently, we performed a decremental PEEP trial. The PEEP was increased stepwise until the PEEP was 10 cm H2O above the baseline PEEP with a minimum PEEP of 24 cm H2O (PEEPhigh), corresponding with the maximum PEEP advised by the PEEP–Fi O2 table. The PEEP trial was limited to a lower PEEP level in case of hypotension (mean arterial blood pressure <60 mm Hg) or desaturation (peripheral oxygen saturation <88%). PEEPhigh was maintained for at least 1 minute. From PEEPhigh, the PEEP was reduced in 2–cm H2O steps of 30 seconds until the EIT showed evident collapse. The PEEP was reduced an additional 2 cm H2O to confirm a further increase in collapse. The EIT devices provided percentages of relative alveolar overdistention and collapse at every PEEP step. Lastly, the total PEEP was set (PEEPset) at the PEEP level above the intersection of the curves representing relative alveolar overdistention and collapse (Figure 1) (6). Figure 1. Total set positive end-expiratory pressure (PEEP) based on electrical impedance tomography. (A) Ventilation distribution at four levels of PEEP. The top row shows the ventilation distribution in blue, whereas the bottom row shows relative alveolar overdistention in orange and relative alveolar collapse in white. The percentages of relative alveolar overdistention and collapse are presented as well. At a total PEEP of 29 cm H2O, the dorsal areas of the lung are mainly ventilated, whereas the ventral parts are not ventilated because of overdistention. At a total PEEP of 9 cm H2O, the ventral parts are mainly ventilated (with more ventilation in the right lung than the left lung), and the dorsal parts are not ventilated because of alveolar collapse. At a total PEEP between 15 and 21 cm H2O, ventilation is mainly distributed to the center. (B) Relative alveolar overdistention, collapse, and dynamic compliance. Relative alveolar overdistention and collapse and the dynamic compliance of the respiratory system are shown during a decremental PEEP trial. At 29 cm H2O PEEP, there is relative alveolar overdistention but no relative collapse, whereas at 9 cm H2O PEEP, there is relative alveolar collapse but no relative overdistention. The total PEEP was set at the PEEP level above the intersection of the curves representing relative alveolar overdistention and collapse, in this case 21 cm H2O (6). Images: Pulmovista 500, Dräger. Baseline characteristics and laboratory analyses were retrieved from the patient information system. Diffuse or focal ARDS was established with chest X-ray or lung computed tomography (CT) scan, similar to the LIVE (Lung Imaging for Ventilatory Setting in ARDS) study (7). Statistical analysis Data were presented as medians and interquartile ranges (IQRs). Only PEEPset, as determined by the first PEEP trial, of each patient was used for analyses. The absolute distance in cm H2O between PEEPset and the closest PEEP level that could have been set based on the lower PEEP–Fi O2 table or the higher PEEP–Fi O2 table from the ALVEOLI trial was calculated (5). The Wilcoxon signed-rank test was used to test the difference between PEEPset and the absolute distance to either the PEEP–Fi O2 table and to test the difference in PEEPset between the first and last PEEP trial (up to Day 7). Correlations were assessed using Spearman’s rank correlation coefficient (ρ). Results Study population We included 15 patients with COVID-19–related ARDS (Table 1). Patients had a body mass index (BMI) of 30 kg/m2 (IQR, 27–34 cm H2O). All patients had high concentrations of C-reactive protein and required vasopressors during the first week after ICU admission. In addition, 14 (93%) patients had or progressed to diffuse ARDS on their chest X-ray or lung CT scan. Table 1. Patient Characteristics Sex Age (yr) BMI (kg/m 2 ) APACHE IV Score PaO2 /Fi O2 Ratio (mm Hg)* Baseline PEEP (cm H 2 O) † Duration of MV (d) ‡ Prone Positioning § DP (cm H 2 O) ‖ Pl (cm H 2 O) ¶ Compliance (ml/cm H 2 O) CRP (mg/L)** ARDS Morphology Exp Insp Lung CW RS F 49 42 79 68 18 8 Yes 12 2 13 104 53 35 530 Diffuse M 56 33 113 171 20 8 Yes 8 0 8 90 165 58 349 Diffuse M 65 27 94 54 16 2 Yes 10 2 19 89 103 47 681 Diffuse M 16 22 74 158 15 1 No N/A †† 6 19 52 92 33 157 Focal to diffuse M 72 26 99 163 16 1 No 8 4 12 114 175 69 673 Diffuse F 59 28 73 116 18 1 Yes 10 5 14 54 189 42 563 Diffuse F 73 18 125 105 16 0 No 8 2 10 82 134 51 401 Focal to diffuse F 54 31 94 132 16 2 Yes 13 3 16 43 180 35 526 Diffuse M 53 31 67 186 16 1 Yes 7 9 14 101 148 60 401 Diffuse F 62 30 98 134 12 1 No 10 N/A ‡‡ N/A ‡‡ N/A ‡‡ N/A ‡‡ 61 350 Focal to diffuse M 66 36 124 118 18 1 No 4 4 13 77 88 41 638 Focal M 68 34 94 134 18 2 Yes 6 −1 14 124 77 47 280 Diffuse M 56 34 101 148 18 2 Yes 7 N/A ‡‡ N/A ‡‡ N/A ‡‡ N/A ‡‡ 69 331 Diffuse M 61 29 124 140 18 1 Yes 7 9 14 94 95 47 336 Diffuse M 65 27 112 100 16 3 Yes 7 5 9 102 146 60 386 Diffuse Definition of abbreviations: APACHE = Acute Physiology and Chronic Health Evaluation; ARDS = acute respiratory distress syndrome; BMI = body mass index; CRP = C-reactive protein; CW = chest wall; DP = driving pressure; Exp = expiratory; Insp = inspiratory; MV = mechanical ventilation; N/A = not available; PEEP = positive end-expiratory pressure; Pl = transpulmonary pressure; RS = respiratory system. * Lowest within 24 hours after ICU admission in our center. † Baseline PEEP level at the moment of PaO2 /Fi O2 ratio measurement; baseline PEEP was set at the discretion of the attending clinician. ‡ Number of days on MV at the day of the first PEEP trial. § Received at least one session of prone positioning. ‖ Highest measured value (in cm H2O) in the first 7 days of admission; DP was calculated as the difference between plateau pressure and total PEEP. ¶ Lowest measured end-expiratory value and highest measured end-inspiratory value (in cm H2O) in the first 7 days of admission; absolute transpulmonary pressure was calculated as the difference between airway pressure and esophageal pressure. Note: the expiratory and inspiratory values are not necessarily measured at the same time and do not reflect transpulmonary driving pressure. ** Highest measured concentration in the first 3 days of admission. †† Unavailable because of loss of data. ‡‡ Not available because of an unsuccessful attempt to place esophageal balloon catheter. PEEPset in COVID-19–related ARDS We conducted a total of 63 PEEP trials, of which 52 were performed in the supine position. The median amount of PEEP trials per patient was 3 (IQR, 2–4.5). PEEPset based on EIT was 21 cm H2O (IQR, 16–22 cm H2O). Driving pressure was below 13 cm H2O in all patients (Table 1). In one PEEP trial (1.6%), we did not reach a PEEPhigh of 10 cm H2O above the baseline PEEP because of hemodynamic instability (mean arterial blood pressure <60 mm Hg). No pneumothoraxes were observed. At 28 days, four patients died (26.7%), three patients were weaning from mechanical ventilation (20.0%), and eight patients were discharged from the ICU (53.3%). PEEPset was 2 cm H2O (IQR, 0–5 cm H2O) above the PEEP set by the higher PEEP–Fi O2 table and 10 cm H2O (IQR, 7–14 cm H2O) above the PEEP set by the lower PEEP–Fi O2 table (P = 0.01 for the absolute difference) (Figure 2A). There was no correlation between PEEPset and Fi O2 (ρ = 0.11; P = 0.69). However, we did find a significant correlation between PEEPset and BMI (ρ = 0.76; P = 0.001) (Figure 2B). PEEPset did not change significantly over time (Figure 2C). Figure 2. (A) Total set positive end-expiratory pressure (PEEPset) versus higher and lower PEEP–Fi O2 tables. The solid and dashed lines represent the PEEP–Fi O2 combination to be used according to the lower and higher PEEP–Fi O2 tables from the ALVEOLI trial. Each marker represents PEEPset at the level of lowest relative alveolar overdistention and collapse as measured with electrical impedance tomography. Only the first PEEP trial of each patient is presented. The crosses indicate subjects who died within 28 days following ICU admission. There was no correlation between PEEPset and Fi O2 (ρ = 0.11; P = 0.69). (B) PEEPset versus body mass index (BMI). The correlation between BMI and PEEPset after the first PEEP trial for each patient is shown. Spearman’s rank correlation coefficient ρ = 0.76 with P = 0.001. Similar markers in Figures 2A and 2B represent the same patient. (C) Change in PEEP compared with the first PEEP trial. The change in PEEPset compared with the first PEEP trial is represented by the median (orange lines), interquartile ranges (boxes), and minimum and maximum values (whiskers). PEEPset did not change significantly over time. The number between parentheses represents the number of patients measured at that day. Discussion In 15 patients with COVID-19–related ARDS, personalized PEEP at the level of lowest relative alveolar overdistention and collapse, as measured with EIT, resulted in high PEEP. These PEEP levels did not result in high driving pressure or transpulmonary pressure. In addition, PEEP trials did not result in relevant hemodynamic instability or pneumothorax. PEEPset corresponded better with the higher PEEP–Fi O2 table than the lower PEEP–Fi O2 table and was positively correlated with BMI. In COVID-19–related ARDS, both a low lung recruitability (L-type) and a high lung recruitability phenotype (H-type) have been described based on lung compliance and the amount of nonaerated lung tissue on lung CT scans (8). Especially in patients with the L-type, low PEEP was advised because higher PEEP would only result in alveolar overdistention without the benefit of alveolar recruitment. In 12 patients with COVID-19–related ARDS, Pan and colleagues (9) used the recruitment-to-inflation ratio and found that lung recruitability was low as well. However, in our first 15 patients with COVID-19–related ARDS, personalized PEEP at the level of lowest relative alveolar overdistention and collapse, as measured with EIT, resulted in high PEEP. Perhaps we included only patients with the H-type, but it is more likely that both phenotypes are the extremes of a recruitability continuum. The recruitability continuum represents the amount of nonaerated lung tissue resulting from edema. Gattinoni and colleagues (8) already described that one patient with COVID-19–related ARDS could progress from the L-type to the H-type as the amount of nonaerated lung tissue increased. If these results can be generalized, most patients with COVID-19 will become recruitable to some extent. The potential changes in recruitability over time make a personalized PEEP titration approach very interesting, although we did not observe a significant change in PEEPset over time. In addition, a secondary analysis of the ALVEOLI trial found that higher PEEP improved survival in patients with a hyperinflammatory ARDS phenotype (10). The hyperinflammatory phenotype could be predicted accurately using IL-6, tumor necrosis factor receptor, and vasopressors. Given the very high C-reactive protein concentrations and the use of vasopressors in all our patients, we assumed that the majority of patients in our study were in a hyperinflammatory state. The LIVE trial predicted PEEP response based on lung morphology and found that patients with focal ARDS benefited from lower PEEP and that patients with diffuse ARDS benefited from higher PEEP (7). In our study, the majority of patients had or progressed to diffuse ARDS, based on chest X-ray or lung CT scan. As a consequence, these patients with COVID-19 were likely to respond to higher PEEP. We realize that the availability of EIT is limited in ICUs worldwide. In clinical practice, the PEEP–Fi O2 table is often used because it is a simple approach to titrate PEEP. This study showed that PEEPset at the level of lowest relative alveolar overdistention and collapse, as measured with EIT, corresponded better with the higher PEEP–Fi O2 table in 15 patients with COVID-19–related ARDS. However, the patients in our study had a high BMI, resulting in a lower transpulmonary pressure and increased PEEP requirement. Higher PEEP should be used with caution in patients with focal ARDS or low BMI. Moreover, response to higher PEEP should always be monitored in terms of driving pressure (2) or oxygenation (11).

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            COVID-19 pneumonia: different respiratory treatments for different phenotypes?

            The Surviving Sepsis Campaign panel recently recommended that “mechanically ventilated patients with COVID-19 should be managed similarly to other patients with acute respiratory failure in the ICU [1].” Yet, COVID-19 pneumonia [2], despite falling in most of the circumstances under the Berlin definition of ARDS [3], is a specific disease, whose distinctive features are severe hypoxemia often associated with near normal respiratory system compliance (more than 50% of the 150 patients measured by the authors and further confirmed by several colleagues in Northern Italy). This remarkable combination is almost never seen in severe ARDS. These severely hypoxemic patients despite sharing a single etiology (SARS-CoV-2) may present quite differently from one another: normally breathing (“silent” hypoxemia) or remarkably dyspneic; quite responsive to nitric oxide or not; deeply hypocapnic or normo/hypercapnic; and either responsive to prone position or not. Therefore, the same disease actually presents itself with impressive non-uniformity. Based on detailed observation of several cases and discussions with colleagues treating these patients, we hypothesize that the different COVID-19 patterns found at presentation in the emergency department depend on the interaction between three factors: (1) the severity of the infection, the host response, physiological reserve and comorbidities; (2) the ventilatory responsiveness of the patient to hypoxemia; (3) the time elapsed between the onset of the disease and the observation in the hospital. The interaction between these factors leads to the development of a time-related disease spectrum within two primary “phenotypes”: Type L, characterized by Low elastance (i.e., high compliance), Low ventilation-to-perfusion ratio, Low lung weight and Low recruitability and Type H, characterized by High elastance, High right-to-left shunt, High lung weight and High recruitability. COVID-19 pneumonia, Type L At the beginning, COVID-19 pneumonia presents with the following characteristics: Low elastance. The nearly normal compliance indicates that the amount of gas in the lung is nearly normal [4]. Low ventilation-to-perfusion (VA/Q) ratio. Since the gas volume is nearly normal, hypoxemia may be best explained by the loss of regulation of perfusion and by loss of hypoxic vasoconstriction. Accordingly, at this stage, the pulmonary artery pressure should be near normal. Low lung weight. Only ground-glass densities are present on CT scan, primarily located subpleurally and along the lung fissures. Consequently, lung weight is only moderately increased. Low lung recruitability. The amount of non-aerated tissue is very low; consequently, the recruitability is low [5]. To conceptualize these phenomena, we hypothesize the following sequence of events: the viral infection leads to a modest local subpleural interstitial edema (ground-glass lesions) particularly located at the interfaces between lung structures with different elastic properties, where stress and strain are concentrated [6]. Vasoplegia accounts for severe hypoxemia. The normal response to hypoxemia is to increase minute ventilation, primarily by increasing the tidal volume [7] (up to 15–20 ml/kg), which is associated with a more negative intrathoracic inspiratory pressure. Undetermined factors other than hypoxemia markedly stimulate, in these patients, the respiratory drive. The near normal compliance, however, explains why some of the patients present without dyspnea as the patient inhales the volume he expects. This increase in minute ventilation leads to a decrease in PaCO2. The evolution of the disease: transitioning between phenotypes The Type L patients may remain unchanging for a period and then improve or worsen. The possible key feature which determines the evolution of the disease, other than the severity of the disease itself, is the depth of the negative intrathoracic pressure associated with the increased tidal volume in spontaneous breathing. Indeed, the combination of a negative inspiratory intrathoracic pressure and increased lung permeability due to inflammation results in interstitial lung edema. This phenomenon, initially described by Barach in [8] and Mascheroni in [9] both in an experimental setting, has been recently recognized as the leading cause of patient self-inflicted lung injury (P-SILI) [10]. Over time, the increased edema increases lung weight, superimposed pressure and dependent atelectasis. When lung edema reaches a certain magnitude, the gas volume in the lung decreases, and the tidal volumes generated for a given inspiratory pressure decrease [11]. At this stage, dyspnea develops, which in turn leads to worsening P-SILI. The transition from Type L to Type H may be due to the evolution of the COVID-19 pneumonia on one hand and the injury attributable to high-stress ventilation on the other. COVID-19 pneumonia, Type H The Type H patient: High elastance. The decrease in gas volume due to increased edema accounts for the increased lung elastance. High right-to-left shunt. This is due to the fraction of cardiac output perfusing the non-aerated tissue which develops in the dependent lung regions due to the increased edema and superimposed pressure. High lung weight. Quantitative analysis of the CT scan shows a remarkable increase in lung weight (> 1.5 kg), on the order of magnitude of severe ARDS [12]. High lung recruitability. The increased amount of non-aerated tissue is associated, as in severe ARDS, with increased recruitability [5]. The Type H pattern, 20–30% of patients in our series, fully fits the severe ARDS criteria: hypoxemia, bilateral infiltrates, decreased the respiratory system compliance, increased lung weight and potential for recruitment. Figure 1 summarizes the time course we described. In panel a, we show the CT in spontaneous breathing of a Type L patient at admission, and in panel b, its transition in Type H after 7 days of noninvasive support. As shown, a similar degree of hypoxemia was associated with different patterns in lung imaging. Fig. 1 a CT scan acquired during spontaneous breathing. The cumulative distribution of the CT number is shifted to the left (well-aerated compartments), being the 0 to − 100 HU compartment, the non-aerated tissue virtually 0. Indeed, the total lung tissue weight was 1108 g, 7.8% of which was not aerated and the gas volume was 4228 ml. Patient receiving oxygen with venturi mask inspired oxygen fraction of 0.8. b CT acquired during mechanical ventilation at end-expiratory pressure at 5 cmH2O of PEEP. The cumulative distribution of the CT scan is shifted to the right (non-aerated compartments), while the left compartments are greatly reduced. Indeed, the total lung tissue weight was 2744 g, 54% of which was not aerated and the gas volume was 1360 ml. The patient was ventilated in volume controlled mode, 7.8 ml/kg of tidal volume, respiratory rate of 20 breaths per minute, inspired oxygen fraction of 0.7 Respiratory treatment Given this conceptual model, it follows that the respiratory treatment offered to Type L and Type H patients must be different. The proposed treatment is consistent with what observed in COVID-19, even though the overwhelming number of patients seen in this pandemic may limit its wide applicability. The first step to reverse hypoxemia is through an increase in FiO2 to which the Type L patient responds well, particularly if not yet breathless. In Type L patients with dyspnea, several noninvasive options are available: high-flow nasal cannula (HFNC), continuous positive airway pressure (CPAP) or noninvasive ventilation (NIV). At this stage, the measurement (or the estimation) of the inspiratory esophageal pressure swings is crucial [13]. In the absence of the esophageal manometry, surrogate measures of work of breathing, such as the swings of central venous pressure [14] or clinical detection of excessive inspiratory effort, should be assessed. In intubated patients, the P0.1 and P occlusion should also be determined. High PEEP, in some patients, may decrease the pleural pressure swings and stop the vicious cycle that exacerbates lung injury. However, high PEEP in patients with normal compliance may have detrimental effects on hemodynamics. In any case, noninvasive options are questionable, as they may be associated with high failure rates and delayed intubation, in a disease which typically lasts several weeks. The magnitude of inspiratory pleural pressures swings may determine the transition from the Type L to the Type H phenotype. As esophageal pressure swings increase from 5 to 10 cmH2O—which are generally well tolerated—to above 15 cmH2O, the risk of lung injury increases and therefore intubation should be performed as soon as possible. Once intubated and deeply sedated, the Type L patients, if hypercapnic, can be ventilated with volumes greater than 6 ml/kg (up to 8–9 ml/kg), as the high compliance results in tolerable strain without the risk of VILI. Prone positioning should be used only as a rescue maneuver, as the lung conditions are “too good” for the prone position effectiveness, which is based on improved stress and strain redistribution. The PEEP should be reduced to 8–10 cmH2O, given that the recruitability is low and the risk of hemodynamic failure increases at higher levels. An early intubation may avert the transition to Type H phenotype. Type H patients should be treated as severe ARDS, including higher PEEP, if compatible with hemodynamics, prone positioning and extracorporeal support. In conclusion, Type L and Type H patients are best identified by CT scan and are affected by different pathophysiological mechanisms. If not available, signs which are implicit in Type L and Type H definition could be used as surrogates: respiratory system elastance and recruitability. Understanding the correct pathophysiology is crucial to establishing the basis for appropriate treatment.
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              Lung Recruitability in COVID-19–associated Acute Respiratory Distress Syndrome: A Single-Center Observational Study

              To the Editor: The coronavirus disease (COVID-19) outbreak was declared a public health emergency by the World Health Organization on January 30, 2020. A majority (67–85%) of critically ill patients who were admitted to an ICU with a confirmed infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) developed acute respiratory distress syndrome (ARDS) (1, 2). An observational study of 52 cases at a single center, the Jinyintan Hospital (a temporary designated center for critically ill patients with COVID-19) in Wuhan, China, showed that these patients had a high mortality (61.5%) (2). For patients with ARDS, the specific characteristics of this syndrome, such as the respiratory mechanics, remain unknown. In particular, an important clinical question with regard to personalizing the management of these patients is whether the lungs are recruitable with high positive end-expiratory pressure (PEEP) for each individual patient. Two of the authors of this study (C.P. and H.Q.) were directly in charge of these critically ill patients with SARS-CoV-2–associated ARDS at the Jinyintan Hospital. Clinical decisions about the right PEEP level were challenging, especially when the PEEP was adapted based on the NIH-NHLBI ARDS Network PEEP-Fi O2 table. With high PEEP (e.g., 15 cm H2O), the plateau pressure often became extremely high (>45 cm H2O) and patients seemed poorly responsive, often displaying only modest improvement in oxygenation, with increased driving pressure and/or development of hypotension. Because of the high clinical workload and the very constrained environment, these bedside observations were not done in a systematic manner or recorded. Until recently, quantitative assessments of a patient’s potential for lung recruitment at the bedside were very imprecise (3). Recently, members of our group (including L.C., M.C.S., and L.B.) described a new mechanics-based index to directly quantify the potential for lung recruitment, called the recruitment-to-inflation ratio (R/I ratio) (4). It estimates how much of an increase in end-expiratory lung volume induced by PEEP is distributed between the recruited lung (recruitment) and the inflation and/or hyperinflation of the “baby lung” when a higher PEEP is applied. It ranges from 0 to 2.0, and the higher the R/I ratio, the higher the potential for lung recruitment. An R/I ratio of 1.0 suggests a high likelihood of recruitment, as the volume will be distributed similarly to the recruited lung and the baby lung. This method can be performed at the bedside and requires only a single-breath maneuver on any ventilator. This maneuver is particularly useful in conditions of high risk of virus transmission by disconnection, transport, or complex procedures. The clinicians in Wuhan decided to use this measure of recruitment in a systematic way in a series of patients with SARS-CoV-2–associated ARDS, and also to assess the effect of body positioning. Methods This was a retrospective, observational study conducted in a 35-bed ICU at Wuhan Jinyintan Hospital. The institutional ethics review board approved this study (KY-2020-10.02). Written informed consent was waived owing to the observational design of the study and the urgent need to collect data for this infectious disease. The clinical charts of adult patients with laboratory-confirmed COVID-19 admitted to the ICU were reviewed. The patients received invasive mechanical ventilation and met the criteria for ARDS (Berlin definition) (5), were under continuous infusion of sedatives, and were assessed for respiratory mechanics, including lung recruitability, during the week of February 18, 2020. This week (a 6-d observational window) was selected in order for the clinical team to record these additional measurements in the chart. Patients were ventilated in volume-controlled mode with Vt at 6 ml/kg of predicted body weight. Prone positioning was performed over periods of 24 hours when PaO2 /Fi O2 was persistently lower than 150 mm Hg. Flow, volume, and airway pressure were measured by ventilators (SV300; Mindray). Circuit leakage was excluded through a 6-second end-inspiratory occlusion. Measurements were performed at clinically set PEEP levels and were repeated every morning during the observation days, when possible. Total PEEP and plateau pressure were measured by a short end-expiratory and an end-inspiratory occlusion, respectively. Complete airway closure was assessed by performing a low-flow (6 L/min) inflation and by comparing patients' compliance with circuit compliance as previously described (6). The potential for lung recruitment was assessed by means of the R/I ratio (4), which can be calculated automatically from a webpage (https://crec.coemv.ca). Because of the limited access to computers or the internet while under airborne precautions, one of the authors (L.C.) provided a compact form for calculating the R/I ratio manually. In patients without airway closure, R/I ratio = V T e H → L − V T e H V T i × Pplat L − PEEP L PEEP H − PEEP L − 1 where VteH→L indicates the Vt exhaled from high to low PEEP during the single-breath maneuver, VteH is the exhaled Vt at high PEEP, Vti is the preset inspiratory Vt, PplatL is the plateau pressure at low PEEP, and PEEP h and PEEP l denote high and low PEEP, respectively. In patients with airway closure, the low PEEP was replaced with the measured airway opening pressure when the airways were reopened above the airway closure (6). A threshold of 0.5 was used to define high recruitability (R/I ratio ≥ 0.5) and low recruitability (R/I ratio  115 27 23 17 Yes No Alive 9 5 4 9 0.55 128 70 22 12 30 Yes No Alive 10 4 8 12 1.0 90 69 35 25 9 Yes Yes Alive 11 2 1 3 1.0 57 49 35 25 18 Yes Yes Alive 12 7 9 16 1.0 68 58 38 30 14 Yes Yes Alive Mean 4 4 9 0.7 128 66 30 22 20 — — — SD 3 6 6 0.21 53 13 8 9 8 — — — Total — — — — — — — — — 7Y/5N 3Y/9N 9A/3D Definition of abbreviations: ARF = acute respiratory failure; Crs = respiratory system compliance; ∆P = driving pressure; ECMO = extracorporeal membrane oxygenation; IMV =invasive mechanical ventilation; NHF = nasal high flow; NIV = noninvasive ventilation; PEEP = positive end-expiratory pressure; Pplat = plateau pressure. * Days receiving NIV or NHF before intubation. † Days on IMV before enrollment in the study. ‡ ARF days were defined as days from the onset of respiratory failure with any form of ventilatory support until enrollment in the study. § Driving pressure was the difference between the plateau pressure and total PEEP, measured at 6 ml/kg of Vt. || Crs was calculated as Vt divided by the difference between the plateau pressure and total PEEP. ¶ Received at least one session of prone positioning. ** Suspected tension pneumothorax. The worst values for gas exchange and respiratory mechanics are reported in Table 1 (“worst” meaning lowest PaO2 /Fi O2 , highest driving pressure, or lowest respiratory system compliance). Neither complete airway closure nor auto-PEEP was found in any patient. Among the 12 patients, 10 (83%) were poorly recruitable (R/I ratio, 0.21 ± 0.14) on the first day of observation. As shown in Figure 1, patients who did not receive prone positioning had persistent poor recruitability (only 1 out of 17 daily measurements showed high recruitability). In contrast, alternating the body position between supine and prone positioning was associated with increased lung recruitability (13 out of 36 daily measurements showed high recruitability; P = 0.020 by chi-square test between two groups). Prone positioning is indicated as an upside-down triangle in Figure 1. In patients who received prone positioning, PaO2 /Fi O2 went from 120 ± 61 mm Hg at supine to 182 ± 140 mm Hg at prone (P = 0.065 by paired t test). Figure 1. Daily measurements of the recruitment-to-inflation (R/I) ratio for each patient during the observation days. Each patient is indicated by a distinct color. (A) Five patients who did not receive prone positioning. Each triangle denotes a measurement in the supine position. (B) Seven patients who received at least one session of prone positioning. Each upside-down triangle denotes a measurement in the prone position. Notice that each session of prone positioning was maintained for 24 hours. The dashed line represents the cutoff of the R/I ratio for defining lung recruitability (R/I ratio ≥ 0.5 suggests highly recruitable). Discussion This is the first study to describe respiratory mechanics and lung recruitability in a small cohort of mechanically ventilated patients with SARS-CoV-2–associated ARDS. The main findings may be important for clinical management and can be summarized as follows: 1) none of the enrolled patients had complete airway closure or auto-PEEP, 2) driving pressure was high and respiratory system compliance was low, and 3) a majority of the patients were poorly recruitable, with high PEEP, but the recruitability seemed to change when alternating body positions were used. Our findings are not generalizable to all cases of SARS-CoV-2–associated ARDS. First of all, the sample was small (n = 12) and nonrandom. The patients had severe disease and on average had 22 cm H2O of driving pressure despite using 6 ml/kg Vt. Although we were not able to compare the recruitability measured by the R/I ratio with that assessed by another technique (e.g., computed tomography), the low R/I ratio at Day 1 seemed consistent with the clinical impression of the clinicians. Of note, these patients had received various durations of noninvasive and invasive mechanical ventilation, and it would have been ideal to obtain these measurements as soon as the patients were intubated. The surprising finding that alternating body position is followed by increased lung recruitability is interesting but needs to be confirmed. The improvement in oxygenation with prone positioning was not statistically significant but seemed to be clinically relevant. Three patients received both prone positioning and extracorporeal membrane oxygenation, which may also affect lung recruitability (7). During our clinical practice, PEEP was set at the clinicians’ own discretion. However, once the R/I ratio was determined, 5–10 cm H2O of PEEP was usually used if the patient was poorly recruitable. In highly recruitable patients, a higher PEEP was used as long as the plateau pressure was tolerable. In conclusion, our data show that lung recruitability can be assessed at the bedside even in a very constrained environment and was low in our patients with COVID-19–induced ARDS. Alternating body positioning improved recruitability. Our findings do not imply that all patients with SARS-CoV-2–associated ARDS are poorly recruitable, and both the severity and management of these patients can differ remarkably among regions. Instead, we think these findings might prompt clinicians to assess respiratory mechanics and lung recruitability in this population.
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                Author and article information

                Journal
                Am J Respir Crit Care Med
                Am. J. Respir. Crit. Care Med
                ajrccm
                American Journal of Respiratory and Critical Care Medicine
                American Thoracic Society
                1073-449X
                1535-4970
                15 July 2020
                15 July 2020
                15 July 2020
                15 July 2020
                : 202
                : 2
                : 280-284
                Affiliations
                [ 1 ]Erasmus Medical Center

                Rotterdam, the Netherlands
                Author notes
                [*]

                These authors contributed equally to this work.

                [ ]Corresponding author (e-mail: p.vanderzee@ 123456erasmusmc.nl ).
                Author information
                http://orcid.org/0000-0002-5577-6848
                Article
                202003-0816LE
                10.1164/rccm.202003-0816LE
                7365366
                32479112
                ebe5f87b-7469-4259-8cc7-f5b140752f73
                Copyright © 2020 by the American Thoracic Society

                This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 ( http://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints, please contact Diane Gern ( dgern@ 123456thoracic.org ).

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                Correspondence

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