Submit manuscript...
Journal of
eISSN: 2376-0060

Lung, Pulmonary & Respiratory Research

Research Article Volume 8 Issue 2

The correlation of respiratory system compliance and mortality in COVID-19 acute respiratory distress syndrome: do phenotypes really exist?

Rachel L Choron,1 Stephen A Iacono,1 Alexander Cong,2 Christopher G Bargoud,1 Amanda L Teichman,1 Nicole J Krumrei ,1 Michelle T. Bover Manderski ,3 Michael B Rodricks,1 Rajan Gupta1

1Division of Acute Care Surgery, Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
2Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
3Department of Biostatistics and Epidemiology, Rutgers School of Public Health, New Brunswick, New Jersey, USA

Correspondence: Rachel L. Choron, MD, Assistant Professor, Department of Surgery, Rutgers Robert Wood Johnson Medical School, 125 Patterson Street, Suite 6300, New Brunswick, NJ.

Received: May 05, 2021 | Published: May 20, 2021

Citation: Choron RL, Iacono SA, Cong A, et al. The correlation of respiratory system compliance and mortality in COVID-19 acute respiratory distress syndrome: do phenotypes really exist? J Lung Pulm Respir Res. 2021;8(2):67-74. DOI: 10.15406/jlprr.2021.08.00253

Download PDF

Abstract

Background: Recent literature suggests respiratory system compliance (Crs) based phenotypes exist among COVID-19 ARDS patients. We sought to determine whether these phenotypes exist and whether Crs predicts mortality.

Methods: A retrospective observational cohort study of 111 COVID-19 ARDS patients admitted March 11-July 8, 2020. Crs was averaged for the first 72-hours of mechanical ventilation. Crs<30ml/cmH2O was defined as poor Crs(phenotype-H) whereas Crs≥30ml/cmH2O as preserved Crs(phenotype-L).

Results: 111 COVID-19 ARDS patients were included, 40 phenotype-H and 71 phenotype-L. Both the mean PaO2/FiO2 ratio for the first 72-hours of mechanical ventilation and the PaO2/FiO2 ratio hospital nadir were lower in phenotype-H than L(115[IQR87] vs 165[87], p=0.016), (63[32] vs 75[59], p=0.026). There were no difference in characteristics, diagnostic studies, or complications between groups. Twenty-seven (67.5%) phenotype-H patients died vs 37(52.1%) phenotype-L(p=0.115). Multivariable regression did not reveal a mortality difference between phenotypes; however, a 2-fold mortality increase was noted in Crs<20 vs >50ml/cmH2O when analyzing ordinal Crs groups. Moving up one group level (ex. Crs30-39.9ml/cmH2O to 40-49.9ml/cmH2O), was marginally associated with 14% lower risk of death(RR=0.86, 95%CI 0.72, 1.01, p=0.065). This attenuated (RR=0.94, 95%CI 0.80, 1.11) when adjusting for pH nadir and PaO2/FiO2 ratio nadir.

Conclusion: We identified a spectrum of Crs in COVID-19 ARDS similar to Crs distribution in non-COVID-19 ARDS. While we identified increasing mortality as Crs decreased, there was no specific threshold marking significantly different mortality based on phenotype. We therefore would not define COVID-19 ARDS patients by phenotypes-H or L and would not stray from traditional ARDS ventilator management strategies.

Keywords: COVID-19, corona virus, acute respiratory distress syndrome, respiratory system compliance, pulmonary compliance, mortality, intensive care unit, critical care, mechanical ventilation

Introduction

The coronavirus (COVID-19) pandemic was first reported in Wuhan, China in December 2019 and rapidly spread worldwide.1,2 As of April 21st, 2021, there have been over 144 million cases globally, including 31 million cases and 569,000 deaths in the United States.3 Mortality in intensive care unit (ICU) patients with COVID-19 remains high despite advances in treatment strategies. Mortality ranges from 30-60% among COVID-19 ICU patients and is even higher in patients requiring mechanical ventilation.4-9

A large percentage of COVID-19 patients who develop respiratory failure and hypoxemia have been diagnosed with acute respiratory distress syndrome (ARDS) and treated accordingly; however, few data exist correlating respiratory pathophysiology to clinical features and ventilator mechanics in COVID-19. Patients presenting with non-COVID-19 ARDS typically have low pulmonary compliance and loss of aerated tissue available for ventilation.10,11 While most patients with COVID-19 ARDS present similarly to non-COVID-19 ARDS, as defined by the Berlin Criteria,12 it has been postulated that some COVID-19 patients do not fit the classic ARDS phenotype characterized by poor pulmonary compliance. Several studies have demonstrated that some hypoxemic COVID-19 patients with respiratory failure requiring mechanical ventilation have higher than expected pulmonary compliance when compared to non-COVID-19 ARDS patients.13-15

Based on these observations, Gattinoni et al. proposed two distinct phenotypes among patients with COVID-19 pneumonia who met the Berlin criteria for ARDS.16 The proposed “L phenotype” was defined as low elastance and high compliance; conversely the “H phenotype” was defined as high elastance and low compliance.16 It was further hypothesized that unlike H phenotype patients who benefit from classic ARDS lung protective ventilator strategies, L phenotype patients would paradoxically benefit from low PEEP and high tidal volume to compensate for increased dead space caused by hypoxic pulmonary vasoconstriction, which is contrary to traditional ARDS management.

Our primary objective was to determine whether respiratory system compliance (Crs) based phenotypes still exist among COVID-19 ICU patients during the first 72-hour period after the initiation of mechanical ventilation in our patient cohort. Our secondary objective was to determine whether Crs was related to mortality.

Methods

Patient population and setting

This was a retrospective observational study of the first 111 consecutive COVID-19 patients admitted to the ICU who required mechanical ventilation. Patients were admitted from March 11, 2020 to July 8, 2020. The final study follow-up date was November 23rd, 2020. The Institutional Review Board approved this study. Patients who met inclusion criteria were 18 years of age or older, admitted to the ICU, SARS-CoV-19 positive confirmed by polymerase chain reaction (PCR) testing of nasopharyngeal swab, mechanically ventilated for respiratory failure, diagnosed with ARDS as per the Berlin definition,12 and discharged from the ICU or died at the final date of follow-up. The exclusion criterion was COVID-19 ICU patients who did not require mechanical ventilation. This study was performed in a 297-bed community hospital in Central New Jersey that is affiliated with a large academic tertiary care center. During the height of the pandemic, the ICU was expanded to three times its typical capacity during mid-April.

Data collection and definitions

Patient information was collected from the electronic medical record (Allscripts-Sunrise Clinical Manager, Chicago, IL). The data collected included patient demographics, past medical history, vital signs, laboratory testing, therapies utilized for treatment of COVID-19, ICU length of stay, hospital length of stay, days to initiation of mechanical ventilation, days of mechanical ventilation, mortality, and disposition. Complications collected included acute respiratory distress syndrome (ARDS) defined by the Berlin criteria,12  acute kidney injury as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) definition,17 culture proven infection, image proven venous thromboembolism, hemorrhagic events, and need for tracheostomy.

Ventilator data, arterial blood gases, and respiratory mechanics were collected during the first 72 hours following intubation for each patient. The Crs (ml/cm H2O) was defined as the tidal volume (VT) divided by the difference between plateau pressure and positive end expiratory pressure (PEEP). Average Crs was obtained for each patient over the first 72 hours they were mechanically ventilated. Crs<30 ml/cm H2O was defined as poor Crs or phenotype H whereas Crs≥30 ml/cm H2O was defined as preserved Crs or phenotype L.

All critically ill COVID-19 patients were cared for by a multidisciplinary team led by a board certified intensivist 24 hours a day seven days a week. Clinical practice patterns involved protective lung ventilation strategies as recommended by the ARDS network, however as this was a retrospective observational study without intervention, practice patterns were left to the discretion of the attending intensivist.

Statistical analysis

The distributions of baseline characteristics, vital signs, laboratory results, treatments, and outcomes were calculated for the entire study population, for phenotype H patients with Crs<30ml/cm H2O, and for phenotype L patients with Crs≥30 ml/cm H2O. Frequency and percentages are reported for categorical variables, and median and interquartile range (IQR) are reported for continuous variables, since nearly all were determined to be nonnormally distributed according to the Shapiro-Wilk statistic. Bivariate comparisons of categorical and continuous variables were tested using Pearson’s chi-square statistic (or Fisher’s exact test when warranted by small cell counts) or two-sided Wilcoxon Rank-Sum statistics, respectively.

Mortality along with other continuous variable outcomes (hospital days prior to mechanical ventilation, mechanical ventilator days, ICU length of stay, and hospital length of stay) were compared for phenotypes H and L. To determine whether a Crs threshold other than 30ml/cm H2O impacted mortality and outcomes, patients were divided into five ordinal groups (i.e., <20, 20 to <30, 30 to <40, 40 to <50, and >50 ml/cm H2O) based on Crs and Kruskal-Wallis test was used to assess bivariate association with continuous variable outcomes. Adjusted relative risks were computed using multivariable modified (robust variance estimator) Poisson regression models; first analysis was with Crs≥30 ml/cm H2O vs <30ml/cm H2O (Model 1), adjusted for pH nadir<7.2 and lowest PaO2/FiO2 Ratio (Model 2), the second analysis evaluated the 5-level ordinal Crs groups. All analyses were performed using SAS software version 9.4 (SAS Institute, Cary, NC).

Results

At the final date of follow-up, 111 COVID-19 positive ICU patients met study inclusion criteria which included requiring mechanical ventilation and meeting the Berlin criteria for ARDS. The median age for the overall population was 64 years (IQR 17) and the majority were male (76, 68.5%). Most patients were Caucasian (50, 45.1%), followed by Hispanic (39, 35.1%), and Black (15, 13.5%) (Table 1A). Of the total population, 40 patients (36%) were classified as phenotype H (Crs<30 ml/cm H2O) and 71 (64%) were classified as phenotype L (Crs≥30 ml/cm H2O).

 

All COVID-19
ARDS Patients
(n=111)

Patients with Crs
<30 ml/cm H2O
Phenotype H
(n=40)

Patients with Crs
30 ml/cm H2O
Phenotype L (n=71)

p-value

Age, median (IQR), years

64 (17)

66 (14.5)

61 (16)

0.092

Sex, male (n, %)

76 (68.5)

22 (55)

54 (76.1)

0.022

Race/Ethnicity

 

 

 

 

      Caucasian

50 (45.1)

20 (50)

30 (42.3)

0.645

      Black

15 (13.5)

6 (15)

9 (12.7)

 

      Hispanic

39 (35.1)

11 (27.5)

28 (39.4)

 

      Asian

7 (6.3)

3 (7.5)

4 (5.6)

 

Body Mass Index, median (IQR), kg/m2

30.8 (10.3)

29.4 (9.5)

30.8 (10.1)

0.338

Comorbities, (n, %)

 

 

 

 

    Diabetes

49 (44.1)

20 (50)

29 (40.9)

0.351

    Hypertension

68 (61.3)

28 (70)

40 (56.3)

0.156

    COPD/Asthma

11 (9.9)

4 (10)

7 (9.9)

1.000

    Cardiovascular Disease (CAD, MI, HF)

26 (23.4)

11 (27.5)

15 (21.1)

0.449

    Smoking History

22 (19.8)

7 (17.5)

15 (21.1)

0.645

    Chronic Kidney Disease

14 (12.6)

3 (7.5)

11 (15.5)

0.223

Table 1a Characteristics of mechanically ventilated ARDS patients with COVID-19 stratified by Crs

The most common comorbidities among all COVID-19 ICU patients were hypertension (61.3%), diabetes (44.1%), and obesity with a median body mass index 30.8 kg/m2 (IQR 10.3). Baseline characteristics, listed in Table 1A, were similar among phenotypes H and L. Admission vital signs and laboratory values were also similar between the two groups (Table 1B). While not statistically significant, phenotype H had a lower heart rate compared to phenotype L (94.5 beats per minute [IQR25] vs 101 [29], p=0.059) and phenotype H trended toward a lower mean arterial pressure (89 mmHg [26] vs 95 [21], p=0.057).

Admission Vital Signs, median (IQR)

 

 

 

 

   Temperature, degrees Fahrenheit

99.8 (3.5)

99.6 (3.2)

100 (4)

0.638

   Heart Rate, beats per minute

99 (25)

94.5 (25)

101 (29)

0.059

   Systolic Blood Pressure, mmHg

132 (32)

129.5 (35.5)

134 (31)

0.174

   Mean Arterial Pressure, mmHg

93.5 (21)

89 (26)

95 (21)

0.057

   Initial O2 Saturation

89 (13)

88 (13)

90 (12)

0.306

Admission Laboratory Results

 

 

 

 

   White Blood Cell Count, x109/L

8.2 (5.8)

7.1 (6.1)

8.4 (6.1)

0.253

    Absolute Lymphocyte Count, x109/L

5.9 (6.9)

5.9 (6.2)

5.9 (7.8)

0.849

    Sodium, mmol/L

135 (6)

135.5 (6)

135 (6)

0.941

    Creatinine, mg/dL

1.0 (0.7)

1.0 (0.9)

1.0 (0.7)

0.927

    Hemoglobin, g/dL

13.2 (2.8)

13 (3)

13.2 (2.8)

0.386

    Platelets, x 109/L

213 (133)

205 (95)

225 (148)

0.512

    Prothrombin Time, sec

10.9 (1.5)

10.8 (0.9)

11 (1.8)

0.573

Admission Studies

 

 

 

 

   Bilateral Infiltrates on Chest X-ray, n (%)

101 (91)

37 (92.5)

64 (90.1)

1.000

Highest Value During Hospitalization

 

 

 

 

     Lactate Dehydrogenase, U/L, median (IQR)

569 (329)

515 (378)

612 (326)

0.069

     Ferritin, ng/mL

1161 (1372)

950 (1346)

1185 (1421)

0.449

     Triglycerides, mg/dL

216 (227)

187 (178)

225 (221)

0.257

     D-Dimer, mg/L

5.5 (13.8)

4.2 (10.9)

6.4 (18.8)

0.225

     Fibrinogen, mg/dL

634 (269)

624 (223)

655 (232)

0.319

Gas Exchange

 

 

 

 

     Mean PaO2/FiO2, mmHg for 1st 72 hours during IMV

147 (94)

115 (87)

164 (87)

0.016

     Lowest PaO2/FiO2, mmHg during IMV

73 (42.3)

63 (32)

75 (59)

0.026

     Mean pH for 1st 72 hours during IMV

7.4 (0.1)

7.4 (0.1)

7.4 (0.1)

0.522

     Lowest pH during IMV

7.2 (0.2)

7.2 (0.2)

7.2 (0.3)

0.990

Table 1b Vital Signs, Laboratory Results, and Gas Exchange Data Stratified by Crs
Abbreviations: ARDS, acute respiratory distress syndrome; Crs, respiratory system compliance; IQR, interquartile range; CAD, coronary artery disease; MI, myocardial infarction; HF, heart failure; IMV, invasive mechanical ventilation

Both phenotype H and L patients were critically ill. The majority of patients had shock requiring vasopressors during ICU admission (88.9%). All patients had ARDS; 83 (74.8%) had severe ARDS based on Berlin criteria. The mean PaO2/FiO2 ratio for the first 72 hours of mechanical ventilation was significantly lower in phenotype H (115 [87] vs 165 [87], p=0.016). Likewise, the PaO2/FiO2 ratio nadir for the entire mechanical ventilation course was lower in phenotype H than L (63 [32] vs 75 [59], p=0.026).

Complications were similar between both phenotype H and L groups (Table 2). Fifty-one (46.4%) patients had concomitant bacterial pneumonia and 26 (23.4%) had bacteremia. Nearly half (52, 47.3%) had acute kidney injury and 32 (28.8%) required renal replacement therapy. There was no difference among infectious, cardiac, or other complications between the two groups. While not statistically significant, fewer phenotype H patients underwent tracheostomy procedures than phenotype L (2 [5%] vs 12 [16.9%], p=0.070).

 

All COVID-19 ARDS Patients
(n=111)

Patients with Crs <30 ml/cm H2O Phenotype H (n=40)

Patients with Crs 30 ml/cm H2O Phenotype L
(n=71)

p-value

 

n (%)

n (%)

n (%)

 

ARDS

 

 

 

 

    Mild ARDS

5 (4.5)

1 (2.5)

4 (5.6)

0.416

    Moderate ARDS

23 (20.7)

6 (15)

17 (23.9)

0.264

    Severe ARDS

83 (74.8)

33 (82.5)

50 (70.4)

0.160

Vasopressor Requirement

97 (88.9)

36 (92.3)

61 (87.1)

0.532

Infectious Complications

 

 

 

 

     Bacterial Pneumonia

51 (46.4)

15 (37.5)

36 (51.4)

0.159

     Urinary Tract Infection

24 (21.6)

10 (25)

14 (19.7)

0.516

     Bacteremia

26 (23.4)

10 (25)

16 (22.5)

0.769

     Influenza

2 (1.8)

0

2 (2.8)

0.535

     Clostridium Difficile

2 (1.8)

0

2 (2.8)

0.535

Acute Kidney Injury

52 (47.3)

19 (48.7)

33 (46.5)

0.822

     Kidney Replacement Therapy

32 (28.8)

10 (25)

22 (31)

0.504

Acute Hepatic Injury

9 (8.1)

5 (12.5)

4 (5.6)

0.279

Cardiac Complications

 

 

 

 

     Arrhythmia

34 (30.6)

8 (20)

26 (36.6)

0.068

     Myocardial Infarction

4 (3.6)

1 (2.5)

3 (4.2)

1.000

     Cardiomyopathy

8 (7.2)

2 (5)

6 (8.5)

0.709

Pneumothorax

11 (9.9)

3 (7.5)

8 (11.3)

0.743

Seizures

2 (1.8)

1 (2.5)

1 (1.4)

1.000

Deep Vein Thrombosis

3 (2.7)

0

3 (4.2)

0.552

Pulmonary Embolism

2 (1.8)

0

2 (2.9)

0.531

Tracheostomy

14 (12.6)

2 (5)

12 (16.9)

0.070

Table 2 Complications of mechanically ventilated ARDS patients with COVID-19 stratified by Crs
Abbreviations: ARDS, acute respiratory distress syndrome; Crs, respiratory system compliance; IQR, interquartile range

Outcomes and mortality as related to respiratory system compliance

The overall mortality was 57.7% for COVID-19 ARDS patients, with median mechanical ventilator days 10 [IQR11], ICU length of stay 12 days [12], and hospital length of stay 11 days [IQR 15] (Table 3A). There was no difference in ventilator days, ICU length of stay, hospital length of stay, or mortality when comparing phenotypes H and L. Twenty-seven (67.5%) phenotype H patients died as compared to 37 (52.1%) phenotype L patients (p=0.115). While there was no difference in mortality when stratifying respiratory system compliance based on phenotypes H and L, there was a trend toward increasing mortality with decreasing respiratory system compliance when dividing the patients into ordinal groups (Table 3B, Figure 1). There was 40% mortality among patients with Crs > 50 ml/cm H2O vs 55.1% mortality with Crs 30-39.9 ml/cm H2O and 80% mortality with Crs <20 ml/cm H2O.

 

All COVID-19 ARDS Patients
(n=111)

Patients with Crs
<30 ml/cm H2O
Phenotype H
(n=40)

Patients with Crs
30 ml/cm H2O
Phenotype L
(n=71)

p-value

Hospital Days Prior to IMV, median (IQR)

2.0 (3.0)

1.0 (3.0)

2.0 (4.0)

0.823

Mechanical Ventilator Days

10 (11)

11.5 (9)

9 (13)

0.880

Intensive Care Unit Length of Stay, days

12 (12)

13.5 (10)

12 (17)

0.958

Hospital Length of Stay, days

17 (15)

16 (15)

17 (16)

0.305

Mortality, n (%)

64 (57.7)

27 (67.5)

37 (52.1)

0.115

Mortality among proned patients (n=31)

22/31 (71)

9/11 (81.8)

13/20 (65)

0.429

Table 3A Outcomes of mechanically ventilated ARDS patients with COVID-19 stratified by Crs

 

Crs <20
ml/cm H2O

(n=5)

Crs 20-29.9
ml/cm H2O

(n=35)

Crs 30-39.9
ml/cm H2O

(n=49)

Crs 40-49.9
ml/cm H2O

(n=7)

Crs >50
ml/cm H2O

(n=15)

p-value

Hospital Days Prior to IMV, median (IQR)

2 (2)

1 (3)

1 (4)

4 (5)

2 (3)

0.777

Mechanical Ventilator Days

7 (3)

12 (9)

10 (12)

8 (19)

6 (16)

0.681

Intensive Care Unit Length of Stay, days

8 (4)

14 (10)

12 (14)

8 (19)

8 (21)

0.707

Hospital Length of Stay, days

11 (17)

16 (14)

17 (15)

15 (15)

18 (30)

0.735

Mortality, n (%)

4 (80)

23 (65.7)

27 (55.1)

4 (57.1)

6 (40)

0.681

Mortality among proned patients

1/1 (100)

8/10 (80)

11/15 (73.3)

0

2/5 (40)                  

 

Table 3B Outcomes of Mechanically Ventilated ARDS Patients with COVID-19 Based on Crs Group
Abbreviations: ARDS, acute respiratory distress syndrome; Crs, respiratory system compliance; IQR, interquartile range; IMV, invasive mechanical ventilation

Figure 1 Increasing mortality demonstrated among mechanically ventilated COVID-19 ARDS patients with decreasing respiratory system compliance.

Multivariable analysis

In multivariable analysis models one and two, respiratory system compliance was defined as phenotype H and L. Using these models Crs was not associated with mortality and neither was PaO2/FiO2 ratio nadir; whereas abnormal pH was associated with a 2-fold increased risk for mortality (Table 4A). When evaluating Crs ordinally instead of as binary phenotype, a 2-fold increase in mortality was noted in Crs<20 vs > 50 ml/cm H2O (RR 2.00, 95% CI 0.94-4.27); however, this association did not hold upon adjusting for pH nadir and PaO2/FiO2 ratio nadir (Table 4B). Ordinally, each additional group level (ex. Crs 30-39.9 ml/cm H2O to 40-49.9 ml/cm H2O) was marginally associated with a 14% lower risk of death (RR=0.86, 95% CI 0.72, 1.01, p=0.065), this attenuates (RR=0.94, 95% CI 0.80, 1.11) when adjusting for pH nadir and PaO2/FiO2 ratio nadir.

 

Model 1

Model 2

 

RR

95% CI

RR

95% CI

Compliance, Crs >30 vs <30 ml/cmH2O

0.77

0.57, 1.05

0.90

0.68, 1.19

pH Nadir <7.2

 

 

2.04

1.27, 3.28

Lowest PaO2/FiO2 Ratio

 

 

0.99

0.99, 1.00

Table 4a Multivariable modified poisson regression analysis of mechanically ventilated ARDS patients with COVID-19

 

Model 3

Model 4

 

RR

95% CI

RR

95% CI

Compliance

 

 

 

 

    Crs <20 ml/cmH2O

2.00

0.94, 4.27

1.16

0.50, 2.17

    Crs 20-29.9 ml/cmH2O

1.64

0.85, 3.19

1.31

0.67, 2.54

    Crs 30-39.9 ml/cmH2O

1.38

0.71, 2.69

1.19

0.62, 2.29

    Crs 40-49.9 ml/cmH2O

1.43

0.59, 3.49

1.22

0.51, 2.89

    Crs >50 ml/cmH2O

reference

 

 

 

pH Nadir <7.2

 

 

2.05

1.27, 3.33

Lowest PaO2/FiO2 Ratio

 

 

0.99

0.99, 1.00

Table 4b Multivariable modified poisson regression analysis of mechanically ventilated ARDS patients with COVID-19 based on ordinal group
*Ordinal trend: Model 3 RR 0.86 (95% CI 0.72-1.01, p=0.065); Model 4 RR 0.94 (95% CI 0.80-1.11, p=0.458)
Abbreviations: ARDS, acute respiratory distress syndrome; Crs, respiratory system compliance; RR, risk ratio; CI, confidence interval

Discussion

While some argue that the mechanical properties of COVID-19 affected lungs are unique, recent studies have shown that patients with COVID-19 ARDS versus non-COVID-19 ARDS are similar.18-21 Prior to COVID-19, Crs had been correlated with ARDS as it affected the amount of aerated lung volume; however, the prognostic value of Crs on mortality remains unclear.22 Ultimately Crs was not included in the Berlin definition of ARDS secondary to the lack of evidence for its predictive validity.12 As the pandemic emerged, it was proposed that two phenotypes existed differentiating COVID-19 ARDS based on high vs low Crs. It was suggested this was atypical from non-COVID-19 ARDS. In reality, prior literature had not examined phenotypic variations of Crs in ARDS prior to the pandemic. This led Panwar et al. to perform a secondary analysis of the LUNG SAFE study to determine if Crs-based phenotypes exist in non-COVID-19 ARDS and whether Crs impacts outcomes.23 They found a wide range of Crs with one in eight patients having preserved Crs (Crs >50 ml/cmH2O). Among those phenotype L patients, a significant portion had moderate to severe hypoxemia. Lower Crs on the first day of ARDS, was independently associated with higher mortality, however there was no clear transition point suggesting arbitrary thresholds for phenotype definitions.23

Panwar’s findings among non-COVID-19 ARDS patients are comparable to our findings in the COVID-19 ARDS population. We also found a wide range of Crs with about one in eight patients having preserved Crs >50 ml/cmH2O. While we did see an increasing risk of mortality with decreasing Crs, we did not find a statistically significant difference in mortality when comparing phenotype H vs L as defined by Crs <30 vs >30 ml/cmH2O. Likewise, we did not find any clear transition threshold to define Crs phenotypes based on a mortality relationship.

Moving beyond diagnostic phenotyping of COVID-19 ARDS patients, it has also been proposed by proponents of the Crs phenotype concept that phenotype L patients should be managed with alternative ventilator strategies than the traditional approach to non-COVID-19 ARDS. These strategies would include low PEEP and high tidal volume to compensate for increased dead space caused by hypoxic pulmonary vasoconstriction.15,24 Following this postulation, several studies have confirmed heterogeneity of lung morphology among COVID-19 ARDS patients and concluded patient specific care along with an evidence-based approach to traditional ARDS management should remain the mainstay of COVID-19 ventilator management.25,26

Based on our findings, we propose the observed differences in compliance are part of a continuum of illness that is patient specific and not exclusive to or definable by specific phenotypes. We would continue to advocate for traditional lung-protective ventilation strategies in the COVID-19 ARDS population modified if needed by individual bedside assessment.21,27,28

Limitations

While this is one of the largest case series to date analyzing Crs among mechanically ventilated COVID-19 ARDS patients, this is still a small single center series that was retrospective in nature. While our clinical practice pattern was adherence to lung protective ventilator strategies as recommended by the ARDS network, management was per the intensivist’s discretion and therefore may have had some heterogeneity. The collection of ventilation variables was limited to the first three days of mechanical ventilation following the onset of respiratory failure; we therefore cannot speak to the effect of Crs on mortality beyond day three of mechanical ventilation.

Conclusion

A wide spectrum of Crs was observed among COVID-19 ARDS patients requiring invasive mechanical ventilation. We found only 13.5% of these patients had preserved Crs > 50mL/cmH2O, which is consistent with the percentage of non-COVID-19 ARDS patients that have preserved Crs. While we identified a trend towards increasing mortality as Crs decreased, there was not an identifiable threshold marking a significant difference in mortality based on phenotypic definitions. We therefore would not define COVID-19 ARDS patients by phenotypes H or L and would not stray from traditional ARDS ventilator management strategies.

Declarations

Funding: The authors did not receive support from any organization for the submitted work.

Conflicts of interest/Competing interests

There are no conflicts of interest to declare.

Availability of data and material

There is transparency of data to support our manuscript.

Code availability

There is custom code availability that supports our manuscript.

Authors’ contributions

All authors made substantial contributions to conception, design, data collection and editing of the manuscript.

References

  1. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. 2020; 395(10223):497–506.
  2. WHO Director–General’s opening remarks at the media briefing on COVID–19: 11 March 2020.
  3. https://www.who.int/emergencies/diseases/novel–coronavirus–2019 .
  4. University JH. The center for systems science and engineering (CSSE).
  5. Auld SC, Caridi–Scheible M, Blum JM, et al. ICU and ventilator mortality among critically ill adults with coronavirus disease 2019. Crit Care Med. 2020;48(9):e799–e804.
  6. Abate SM, Ahmed Ali S, Mantfardo B, et al. Rate of intensive care unit admission and outcomes among patients with coronavirus: A systematic review and Meta–analysis. PLoS One. 2020;15(7):e0235653.
  7. Tian R, Wu W, Wang C, et al. Clinical characteristics and survival analysis in critical and non–critical patients with COVID–19 in Wuhan, China: a single–center retrospective case control study. Sci Rep. 2020;10(1):17524.
  8. Wang Y, Zhou Y, Yang Z, et al. Clinical characteristics of patients with severe pneumonia caused by the SARS–CoV–2 in Wuhan, China. 2020;99(8):649–657.
  9. Yang X, Yu Y, Xu J, et al. Clinical course and outcomes of critically ill patients with SARS–CoV–2 pneumonia in Wuhan, China: a single–centered, retrospective, observational study. Lancet Respir Med. 2020;8(5):475–481.
  10. Choron RL, Butts CA, Bargoud C, et al. Surgeons in surge – the versatility of the acute care surgeon: outcomes of COVID–19 ICU patients in a community hospital where all ICU patients are managed by surgical intensivists. Trauma Surgery & Acute Care Open. 2020; 5:e000557.
  11. Amato MB, Meade MO, Slutsky AS, et al. Driving pressure and survival in the acute respiratory distress syndrome. N Engl J Med. 2015;372(8):747–755.­­­­­
  12. Gattinoni L, Pesenti A. The concept of "baby lung". Intensive Care Med. 2005;31(6):776–784.
  13. ARDS Task Force, Ranieri VM, Rubenfeld GD, et al. Acute respiratory distress syndrome: the Berlin Definition. 2012;307(23):2526–2533.
  14. Li X, Ma X. Acute respiratory failure in COVID–19: is it "typical" ARDS? Crit Care. 2020;24(1):198.
  15. Gattinoni L, Coppola S, Cressoni M, et al. COVID–19 does not lead to a "typical" acute respiratory distress syndrome. Am J Respir Crit Care Med. 2020;201(10):1299–1300.
  16. Marini JJ, Gattinoni L. Management of COVID–19 respiratory distress. 2020;323(22):2329–2330.
  17. Gattinoni L, Chiumello D, Caironi P, et al. COVID–19 pneumonia: different respiratory treatments for different phenotypes? Intensive Care Med. 2020;46(6):1099–1102.
  18. Kellum JA, Lameire N, Aspelin P, et al. Kidney disease: improving global outcomes (KDIGO) acute kidney injury work group: KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012;2(1):1–138.
  19. Chiumello D, Busana M, Coppola S, et al. Physiological and quantitative CT–scan characterization of COVID–19 and typical ARDS: a matched cohort study. Intensive Care Med.
  20. Beloncle FM, Pavlovsky B, Desprez C, et al. Mercat A: Recruitability and effect of PEEP in SARS–Cov–2–associated acute respiratory distress syndrome. Ann Intensive Care. 2020;10(1):55.
  21. Ferrando C, Suarez–Sipmann F, Mellado–Artigas R, et al. Clinical features, ventilatory management, and outcome of ARDS caused by COVID–19 are similar to other causes of ARDS. Intensive Care Med.
  22. Haudebourg AF, Perier F, Tuffet S, et al. Respiratory Mechanics of COVID–19– versus Non–COVID–19–associated acute respiratory distress syndrome. Am J Respir Crit Care Med. 2020;202(2):287–290.
  23. Nuckton TJ, Alonso JA, Kallet RH, et al. Pulmonary dead–space fraction as a risk factor for death in the acute respiratory distress syndrome. N Engl J Med. 2002;346(17):1281–1286.
  24. Panwar R, Madotto F, Laffey JG, et al. Compliance phenotypes in early acute respiratory distress syndrome before the COVID–19 Pandemic. Am J Respir Crit Care Med. 2020;202(9):1244–1252.
  25. Tsolaki V, Siempos I, Magira E, et al. PEEP levels in COVID–19 Pneumonia. Crit Care. 2020;24(303).
  26. Ziehr DR, Alladina J, Petri CR, et al. Respiratory pathophysiology of mechanically ventilated patients with COVID–19: A cohort study. Am J Respir Crit Care Med. 2020;201(12):1560–1564.
  27. Bos LDJ, Paulus F, Vlaar APJ, et al. Subphenotyping acute respiratory distress syndrome in patients with COVID–19: Consequences for Ventilator Management. Ann Am Thorac Soc. 2020;17(9):1161–1163.
  28. Botta M, Tsonas AM, Pillay J, et al. Ventilation management and clinical outcomes in invasively ventilated patients with COVID–19 (PRoVENT–COVID): a national, multicentre, observational cohort study. Lancet Respir Med.
  29. Fan E, Beitler JR, Brochard L, et al. COVID–19–associated acute respiratory distress syndrome: is a different approach to management warranted? Lancet Respir Med. 2020;8(8):816–821.
Creative Commons Attribution License

©2021 Choron, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.

Citations