key: cord-0689987-sfl4hand authors: Pan, Chun; Lu, Cong; She, Xiaobin; Ren, Haibo; Wei, Huazhang; Xu, Liang; Huang, Yingzi; Xia, Jia'an; Yu, Yuetian; Chen, Lu; Du, Bin; Qiu, Haibo title: Evaluation of Positive End-Expiratory Pressure Strategies in Patients With Coronavirus Disease 2019–Induced Acute Respiratory Distress Syndrome date: 2021-07-20 journal: Front Med (Lausanne) DOI: 10.3389/fmed.2021.637747 sha: 83879ec9b735af53ae28ae7c0dcbe10b0791f4bb doc_id: 689987 cord_uid: sfl4hand Background: Different positive end-expiratory pressure (PEEP) strategies are available for subjects with coronavirus disease 2019 (COVID-19)–induced acute respiratory distress syndrome (ARDS) requiring invasive mechanical ventilation. We aimed to evaluate three conventional PEEP strategies on their effects on respiratory mechanics, gas exchanges, and hemodynamics. Methods: This is a prospective, physiologic, multicenter study conducted in China. We recruited 20 intubated subjects with ARDS and confirmed COVID-19. We first set PEEP by the ARDSnet low PEEP–fraction of inspired oxygen (FIO(2)) table. After a recruitment maneuver, PEEP was set at 15, 10, and 5 cm H(2)O for 10 min, respectively. Among these three PEEP levels, best-compliance PEEP was the one providing the highest respiratory system compliance; best-oxygenation PEEP was the one providing the highest PaO(2) (partial pressure of arterial oxygen)/FIO(2). Results: At each PEEP level, we assessed respiratory mechanics, arterial blood gas, and hemodynamics. Among three PEEP levels, plateau pressure, driving pressure, mechanical power, and blood pressure improved with lower PEEP. The ARDSnet low PEEP–FIO(2) table and the best-oxygenation strategies provided higher PEEP than the best-compliance strategy (11 ± 6 cm H(2)O vs. 11 ± 3 cm H(2)O vs. 6 ± 2 cm H(2)O, p = 0.001), leading to higher plateau pressure, driving pressure, and mechanical power. The three PEEP strategies were not significantly different in gas exchange. The subgroup analysis showed that three PEEP strategies generated different effects in subjects with moderate or severe ARDS (n = 12) but not in subjects with mild ARDS (n = 8). Conclusions: In our cohort with COVID-19–induced ARDS, the ARDSnet low PEEP/FIO(2) table and the best-oxygenation strategies led to higher PEEP and potentially higher risk of ventilator-induced lung injury than the best-compliance strategy. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT04359251. The World Health Organization announced the coronavirus disease 2019 (COVID-19) outbreak a pandemic on March 11, 2020 . It has been reported that 67% of critically ill subjects with COVID-19 developed acute respiratory distress syndrome (ARDS) requiring invasive mechanical ventilation (1) . Setting a sufficient positive end-expiratory pressure (PEEP) level is crucial for improving oxygenation, keeping alveoli open, and reducing cyclic reopening-closing ("atelectrauma") (2, 3) . However, an unnecessarily high PEEP can increase the risk of overdistension, especially in subjects with low recruitability and severe lung inhomogeneity (4) (5) (6) (7) (8) . Determining the appropriate or "best" PEEP is, however, challenging (9) . Several methods have been used in clinical trials and routine practice. ARDSnet low and high PEEP-fraction of inspired oxygen (FIO 2 ) tables are probably the most widely used methods in randomized controlled trials (10, 11) . These tables, aiming at maintaining oxygenation while minimizing the use of high FIO 2 , provided great feasibility for clinical practice. Alternatively, clinicians can perform a decremental PEEP trial (12) , to find the PEEP providing the highest compliance ("bestcompliance" strategy) or providing the highest ratio of partial pressure of arterial oxygen (PaO 2 ) to FIO 2 ("best-oxygenation" strategy) (13) (14) (15) . The so-called best-oxygenation strategy has not been used in large clinical trials but might be widely embedded in clinical practice where the oxygen saturation by pulse oximetry is often used as a surrogate. While the current guidelines suggest using higher PEEP (>10 cm H 2 O) in subjects with COVID-19-induced ARDS (16) , varied lung recruitability and responses to PEEP were reported from monocenter studies (17) (18) (19) . Meanwhile, Marini and Gattinoni proposed that COVID-19-induced ARDS is probably different from conventional ARDS (20) (21) (22) . It is unclear how those conventional PEEP strategies perform in this particular population. We thus want to evaluate three conventional PEEP strategies (ARDS low PEEP-FIO 2 table, best-compliance, and best-oxygenation strategies) in subjects with COVID-19induced ARDS, to see whether they result in different PEEP settings, respiratory mechanics, gas exchange, hemodynamics, and potential risk of ventilator-induced lung injury (VILI). During the study, subjects were measured at a semirecumbent position under volume control ventilation with a square flow waveform. Tidal volume (V T ) was kept at 6 ml/kg per predicted body weight, and respiratory rate was kept the same at different PEEP levels. Subjects were administered a continuous infusion of analgesia and sedation. If spontaneous breathing effort was strong during sedation, neuromuscular-blocking agents were administered to suppress spontaneous breathing. PEEP trial: (1) We first set PEEP by the ARDSnet low PEEP/FIO 2 table; goals of PEEP and FIO 2 settings were PaO 2 55-80 mm Hg, or SpO 2 88-95%. An arterial blood gas (ABG) was obtained at this PEEP level. (2) We then performed a recruitment maneuver by using continuous positive airway pressure at 30 cm H 2 O for 30 s, to standardize lung volume history. (3) Thereafter, PEEP was set at 15, 10, and 5 cm H 2 O for 10 min, respectively. At each PEEP level, an ABG was obtained. In addition, if a subject had extremely high plateau pressure (Pplat, e.g., >35 cm H 2 O) or hemodynamic instable or refractory desaturation, the duration of that PEEP level was reduced for safety consideration (Figure 1) . "Best-compliance PEEP" was defined as the PEEP (among 15, 10, and 5 cm H 2 O) providing the highest respiratory system compliance (C rs ). "Best-oxygenation PEEP" was defined as the PEEP (among 15, 10, and 5 cm H 2 O) providing the highest PaO 2 /FIO 2 ratio. Airway pressure was measured using a ventilator (SV300, Mindray, China). Pplat was measured by performing endinspiratory occlusion. Total PEEP (PEEP tot ) was measured by performing end-expiratory occlusion. Static C rs was calculated with the following formula: V T /(Pplat -PEEP tot ) (23) . Driving pressure was calculated with the following formula: Pplat - PEEP tot. Mechanical power was calculated with the following formula: 0.098 × RR × V T × (Ppeak -½ × driving pressure) (24) . To determine how many subjects were potentially exposed to high risk of VILI by three PEEP strategies, we defined the high risk of VILI by meeting one of the following criteria: (1) Pplat > 30 cm H 2 O, (2) driving pressure > 15 cm H 2 O, and (3) mechanical power > 25 J/min (11, 25, 26) . The general characteristics of subjects such as gender, age, height, Sequential Organ Failure Assessment (SOFA) score, and days of invasive mechanical ventilation were collected. Ventilator settings, mechanics parameters, ABG, blood pressure, and heart rate were also documented at study enrollment and during the PEEP trial. Data are presented as the mean ± standard deviation, unless specified otherwise. Comparisons between three PEEP levels were conducted by using analysis of variance with repeated measures or paired t-test, when appropriate. Comparisons between two groups (separated by PaO 2 /FIO 2 ) were conducted by using independent t-test. p < 0.05 was considered statistically significant. SPSS 20.0 (Statistical Product and Service Solutions, Chicago, IL, USA) was used for statistical analysis. Twenty subjects (12 men and eight women, aged 64 ± 7 years, SOFA score 11 ± 2) were enrolled. The subjects received various durations of invasive mechanical ventilation before measurement (11 ± 6 days). ICU mortality was 60% (12/20) . The detailed characteristics including the baseline respiratory mechanics at clinical PEEP level are reported in Table 1 . Responses to 15, 10, and 5 cm H 2 O of PEEP As shown in Figure 2 As shown in Figure 2 , the PEEP guided by best compliance was lower than the PEEP guided by best oxygenation and the PEEP guided by ARDSnet low PEEP/FIO 2 We divided subjects into two subgroups (mild ARDS and moderate/severe ARDS) according to PaO 2 /FIO 2 at study enrollment based on Berlin Definition (27) . Characteristics of the subjects, including gender, age, SOFA score, and duration of mechanical ventilation were similar between two subgroups. PaO 2 and PaO 2 /FIO 2 were higher in the mild ARDS group than those in the moderate/severe ARDS group. V T , FIO 2 , PaCO 2 , Pplat, PEEP, driving pressure, C rs , MAP, and heart rate at baseline (before initiation of the protocol) were not different between the two groups ( Table 1) . There were eight subjects in the study with mild ARDS at study enrollment. Pplat, driving pressure, and mechanical power decreased significantly from PEEP 15 to 5 cm H 2 O (Figure 3) . PEEP levels were not significantly different among the three PEEP strategies. PaO 2 , Pplat, C rs , and mechanical power were not different among the three PEEP strategies (Figure 3) . However, driving pressure at best-oxygenation PEEP and that at ARDSnet PEEP were higher than driving pressure at best-compliance PEEP (16 ± 8 and 18 ± 11 vs. 14 ± 7 cm H 2 O, p = 0.03). There was one subject with missing ABG results. PaCO 2 , MAP, and HR at PEEP guided by the three strategies were similar (Figure 3) . There were 12 subjects with moderate/severe ARDS at study enrollment. Pplat, driving pressure, and mechanical power decreased significantly from PEEP 15 to 5 cm H 2 O (Figure 4) , whereas MAP increased significantly at lower PEEP (Figure 4) . ARDSnet PEEP and best-oxygenation PEEP were higher than the best-compliance PEEP (12 ± 7 and 12 ± 4 vs. 6 ± 2 cm H 2 O, p = 0.007). Pplat, driving pressure, and mechanical power at bestoxygenation PEEP and ARDSnet PEEP were higher than at bestcompliance PEEP (Pplat: 35 ± 12 and 36 ± 15 vs. 22 ± 14 cm H 2 O, p = 0.002; driving pressure: 23 ± 10 and 24 ± 10 vs. 16 ± 5 cm H 2 O, p = 0.002; mechanical power: 26 ± 11 and 25 ± 11 vs. 16 ± 5 J/min, p = 0.004) (Figure 4) . C rs at best-compliance PEEP was higher than those at best-oxygenation PEEP and ARDSnet PEEP (23.0 ± 7.8 vs. 16 In mild ARDS subjects, the potential risks of lung injury induced by three PEEP strategies were similar and relatively low ( Table 2 ). In moderate/severe ARDS subjects, however, both best-oxygenation PEEP and ARDSnet PEEP generated "injurious" Pplat (>30 cm H 2 O) and mechanical power (>25 J/min) more frequently than best-compliance PEEP ( Table 2) . The main findings of the present study are that in COVID-19-induced ARDS subjects mechanically ventilated in Wuhan, China, most of the subjects had a poor response to high PEEP. The PEEP/FIO 2 table and best-oxygenation PEEP had similar effects to best-compliance PEEP on gas exchanges and hemodynamics, but there was an increased risk of lung injury due to high PEEP levels particularly for the subjects with moderate/severe ARDS. Lung recruitability of COVID-19-induced ARDS is highly variable. Our previous study assessed the potential for lung recruitment through the recruitment-to-inflation ratio (28) , showing that the majority of the cohort had poor recruitability to high PEEP in subjects with COVID-19-induced ARDS (19) . In two recent studies by Beloncle et al. and Mauri et al., however, the potential for lung recruitment (assessed by the recruitmentto-inflation ratio) of subjects with COVID-19-induced ARDS in Italy and France was much higher than what we found in Wuhan, with larger intersubject variability (17, 18) . Gattinoni and Marini proposed a hypothesis that COVID-19 pneumonia subjects should be divided into different phenotypes to offer different respiratory support (20-22, 29, 30) . Subjects in the present study had poor response to high PEEP (dramatic increase in Pplat, driving pressure, mechanical power with reduction in MAP). These poor responses to high PEEP suggest poor lung recruitability in these subjects, which is consistent with our previous study in which lung recruitability was directly measured (19) and other studies (31) (32) (33) (34) (35) . However, subjects in our study also presented with low baseline compliance, which were not the proposed "type H phenotype" patients and differ from other studies. We suspect that the differences in lung recruitability and compliance among studies might be caused by different durations of invasive ventilation prior to study enrollment. The subjects in our study received relatively long durations of invasive mechanical ventilation before measurement (11 ± 6 days), which can generate progressive lung fibrosis and thus worsen the compliance and lower the lung recruitability. The time course of changes in mechanics has been well-illustrated by (29) . Alternatively, these differences might be related to the different lineages of coronavirus (36) (37) (38) (39) . Limiting the risk of hyperinflation of the "baby lung" when applying high PEEP to promote the recruitment of the collapsed lung is essential. The present study showed that the PEEP selected by ARDSnet low PEEP-FIO 2 table or the best-oxygenation methods was significantly higher than the PEEP selected by the best-compliance method. As a consequence, both ARDSnet low PEEP-FIO 2 table and the best-oxygenation strategies led to higher Pplat, driving pressure, and mechanical power. Although the thresholds of the limits of these parameters can be debatable, the present study showed that the incidences of "injurious" Pplat (>30 cm H 2 O) and mechanical power (>25 J/min) were higher in ARDSnet low PEEP-FIO 2 table and the best-oxygenation strategy in subjects with moderate or severe ARDS. Although we did not test the ARDSnet high PEEP-FIO 2 table in our study, it obviously would have increased the risk of overdistension in our subjects. By contrast, the best-compliance strategy did not bring notable risk of overdistension in mild or moderate/severe ARDS subjects. There are some limitations in our study. (1) Although it is a multicenter study, the sample size is less than expected because of a dramatic reduction in the number of newly admitted ICU subjects during the study. (2) Duration of mechanical ventilation of subjects involved after intubation was 11 ± 6 days in this study. Caution is required for comparing our results with other studies, which enrolled subjects in an earlier phase of mechanical ventilation. (3) We did not assess lung recruitability directly. Instead, we assessed the change in respiratory mechanics, gas exchange, and hemodynamic effects during the PEEP trial, which reflect the subjects' response to PEEP. (4) We simplified the PEEP trial compared to other studies, which used a decremental PEEP trial by 2 cm H 2 O after a recruitment maneuver. (5) We did not measure biomarkers at different PEEP settings, which can help us better assess the risk of VILI. In our cohort with COVID-19-induced ARDS from Wuhan, the ARDSnet low PEEP/FIO 2 table and the best-oxygenation strategies provide higher PEEP than the best-compliance strategy. Our subjects had poor responses to high PEEP as high PEEP often led to excessive Pplat, driving pressure mechanical power, and worse MAP. Further studies on the effects of PEEP on COVID-19-induced ARDS are needed to confirm our findings. The original contributions generated for the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s. The studies involving human participants were reviewed and approved by Wuhan Jinyintan Research Ethics Board. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study Tidal ventilation at low airway pressures can augment lung injury Higher vs lower positive end-expiratory pressure in patients with acute lung injury and acute respiratory distress syndrome: systematic review and meta-analysis Lung overinflation. The hidden face of alveolar recruitment Lung recruitment in patients with the acute respiratory distress syndrome Inhomogeneity of lung parenchyma during the open lung strategy: a computed tomography scan study Bedside selection of positive end-expiratory pressure in mild, moderate, and severe acute respiratory distress syndrome Lung recruitability in severe acute respiratory distress syndrome requiring extracorporeal membrane oxygenation Setting positive end-expiratory pressure in acute respiratory distress syndrome Higher versus lower positive end-expiratory pressures in patients with the acute respiratory distress syndrome Positive end-expiratory pressure setting in adults with acute lung injury and acute respiratory distress syndrome: a randomized controlled trial Best compliance during a decremental, but not incremental, positive end-expiratory pressure trial is related to open-lung positive end-expiratory pressure: a mathematical model of acute respiratory distress syndrome lungs Optimum end-expiratory airway pressure in patients with acute pulmonary failure A comparison of methods to identify open-lung PEEP Effect of lung recruitment and titrated positive endexpiratory pressure (PEEP) vs low peep on mortality in patients with acute respiratory distress syndrome: a randomized clinical trial Surviving sepsis campaign: guidelines on the management of critically ill adults with coronavirus disease 2019 (COVID-19) Recruitability and effect of PEEP in SARS-Cov-2-associated acute respiratory distress syndrome Potential for lung recruitment and ventilation-perfusion mismatch in patients with the acute respiratory distress syndrome from coronavirus disease 2019 Lung recruitability in COVID-19-associated acute respiratory distress syndrome: a singlecenter observational study COVID-19 does not lead to a "typical" acute respiratory distress syndrome Dealing with the CARDS of COVID-19 Management of COVID-19 respiratory distress Lung stress and strain during mechanical ventilation: any difference between statics and dynamics? Ventilator-related causes of lung injury: the mechanical power Driving pressure and survival in the acute respiratory distress syndrome Positive end-expiratory pressure and mechanical power Acute respiratory distress syndrome: the Berlin Definition Potential for lung recruitment estimated by the recruitment-toinflation ratio in acute respiratory distress syndrome. A clinical trial Identification of pathophysiological patterns for triage and respiratory support in COVID-19 Effects of positive end-expiratory pressure in "high compliance" severe acute respiratory syndrome Coronavirus 2 acute respiratory distress syndrome Effect of PEEP decremental on respiratory mechanics, gasses exchanges, pulmonary regional ventilation, and hemodynamics in patients with SARS-Cov-2-associated acute respiratory distress syndrome Physiological and quantitative CT-scan characterization of COVID-19 and typical ARDS: a matched cohort study In silico modeling of Coronavirus Disease 2019 acute respiratory distress syndrome: pathophysiologic insights and potential management implications Advanced respiratory monitoring in COVID-19 patients: use less PEEP! Crit Care PEEP levels in COVID-19 pneumonia Mutation density changes in SARS-CoV-2 are related to the pandemic stage but to a lesser extent in the dominant strain with mutations in spike and RdRp On the origin and continuing evolution of SARS-CoV-2 SARS-CoV-2 within-host diversity and transmission Proteo-genomic analysis of SARS-CoV-2: a clinical landscape of singlenucleotide polymorphisms, COVID-19 proteome, host responses The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.Copyright © 2021 Pan, Lu, She, Ren, Wei, Xu, Huang, Xia, Yu, Chen, Du and Qiu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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