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. 2020 Sep;17(9):1158–1161. doi: 10.1513/AnnalsATS.202005-427RL

Respiratory Mechanics and Gas Exchange in COVID-19–associated Respiratory Failure

Edward J Schenck 1,*, Katherine Hoffman 1, Parag Goyal 1, Justin Choi 1, Lisa Torres 1, Kapil Rajwani 1, Christopher W Tam 1, Natalia Ivascu 1, Fernando J Martinez 1, David A Berlin 1
PMCID: PMC7462323  PMID: 32432896

To the Editor:

The coronavirus disease (COVID-19) pandemic has dramatically increased the number of patients requiring mechanical ventilation for respiratory failure. Several case series with data on ventilator variables from small cohorts have been reported (14). However, differences in respiratory mechanics between those with early mortality and successful extubation have not been explored. In this study, we report physiologic and clinical information from a large group of patients with COVID-19 during the first week of mechanical ventilation.

Methods

This single center cohort study of patients with COVID-19, with a positive RT-PCR for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), treated with mechanical ventilation was performed at New York Presbyterian Hospital–Weill Cornell Medicine from March 1st, 2020 through April 20th, 2020.

Care of the patients was at the discretion of the treating intensivists. Daily briefings were held with critical care leadership to inform best practices as patient load increased. Volume-controlled ventilation was suggested as first choice with a target tidal volume of 6–8 cc/kg of ideal body weight and a plateau pressure ≤30 cm H2O (5). Positive end-expiratory pressure (PEEP) was selected by the treating physicians. Neuromuscular blockade was suggested for patients with severe hypoxemia or ongoing ventilator dyssynchrony. Prone positioning was suggested if the partial pressure of O2:fraction of inspired O2 (P:F) ratio remained under 150 despite optimization of ventilator settings over the first 48 hours. Pressure-targeted ventilation was considered if patients experienced dyssynchrony when sedation was weaned.

We extracted demographic and chest X-ray findings at baseline. Data were extracted from the electronic medical record from Days 1, 3, and 7 of mechanical ventilation. Set fraction of inspired oxygen, plateau pressure, extrinsic PEEP, set tidal volume, and minute ventilation were recorded. In patients treated with pressure-targeted ventilation, the distending pressure was used to estimate a plateau pressure. Volumetric capnography was not available; therefore, a surrogate of dead space, called the ventilatory ratio, was used (6). The ventilatory ratio is an independent predictor of survival in acute respiratory distress syndrome (ARDS) (6, 7).

We compared the distributions of each individual parameter at Days 1 and 3 between those who remained intubated, those successfully extubated, and those who died. We also examined changes over the three time points across the total cohort. We compared the distributions of each individual variable using nonparametric Kruskal-Wallis tests, with a false discovery rate correction for multiple testing. All analyses were performed using R (version 3.6.3; R Foundation for Statistical Computing, https://www.R-project.org/). The study was approved by the Institutional Review Board at Weill Cornell Medicine with a waiver of informed consent (no. 20-04021909). Data are presented as median (interquartile range).

Results

Table 1 summarizes demographics, comorbidities, and intensive care unit treatments for this cohort. A total of 267 patients had ventilator data available. The median age was 66 (54–74) years, and men made up 72% of the cohort. Bilateral infiltrates were present on the first available chest film in 86% of patients. A total of 108 (40%) patients was treated with prone positioning, and 161 (60%) patients were treated with neuromuscular blockade during the course of mechanical ventilation. During the observed time period, 77 patients were successfully extubated and 49 died. Among the 140 remaining intubated, the median duration of mechanical ventilation was 18 (14–24) days.

Table 1.

Patient characteristics at hospital presentation (n = 267)

Variable Values n
Age, median (IQR), yr 66 (54–74) 267
Sex, n (%)   267
 Male 193 (72)
 Female 74 (28)
BMI, median (IQR), kg/m2 29 (25–33) 264
Race, n (%)   216
 White 94 (44)
 Other 58 (27)
 Asian 35 (16)
 Black 29 (13)
Ethnicity, n (%)   166
 Not Hispanic or Latino 111 (67)
 Hispanic or Latino 55 (33)
Smoking status, n (%)   267
 No 187 (70)
 Former smoker 73 (27)
 Active smoker 7 (2.6)
Comorbidities, n (%)   267
 CAD 47 (18)
 DM 86 (32)
 HTN 167 (63)
 CVA 18 (6.7)
 Active cancer 14 (5.2)
 Cirrhosis 4 (1.5)
 History of transplant 10 (3.7)
 Renal disease 26 (9.7)
 Pulmonary disease 65 (24)
 Immunosuppressed 7 (2.6)
Home medications, n (%)   267
 Angiotensin-converting enzyme 88 (33)
 NSAID 77 (29)
 Statin 108 (40)
ED course, n (%)  
 Supplemental O2 in first 3 h in ED 214 (80) 267
Initial chest X-ray, n (%)   266
 Bilateral infiltrates 228 (86)
 Unilateral infiltrates 21 (7.9)
 Clear 13 (4.9)
 Pleural effusion 2 (0.8)
 Other 2 (0.8)
Laboratory values at presentation, median (IQR)  
 White blood cell count, 1,000/mm3 8.2 (6.0–11.7) 257
 Lymphocyte count, 1,000/mm3 0.75 (0.53–1.05) 243
 D-dimer, ng/ml 494 (306–926) 160
 Ferritin, ng/ml 1,018 (569–1,544) 181
 Creatine kinase, U/L 200 (102–390) 150
 Lactate dehydrogenase, U/L 532 (408–684) 218
 C-reactive protein, mg/dl 160 (110–238) 199
ICU interventions, n (%)   267
 Neuromuscular blockade 161 (60)
 Prone positioning performed 108 (40)
 Renal replacement therapy 54 (20)
 Noninvasive mechanical ventilation 51 (19)
Inpatient medications, n (%)   267
 Antibiotics 240 (90)
 Steroids 146 (55)
 Tocilizumab 28 (10)
 Vasopressors 254 (95)
 Remdesivir (or placebo) 30 (11)
 Hydroxychloroquine 246 (92)
 IVIG in hospital 6 (2.2)
Duration of ventilation by outcome, median (IQR)    
 Ventilator days (currently intubated) 18 (14–24) 141
 Ventilator days (extubated) 10 (6–15) 77
 Ventilator days (deceased) 8 (4–13) 49

Definition of abbreviations: BMI = body mass index; CAD = coronary artery disease; CVA = cerebral vascular accident; DM = diabetes mellitus; ED = emergency department; HTN = hypertension; ICU = intensive care unit; IQR = interquartile range; IVIG = intravenous immunoglubulin; NSAID = nonsteroidal antiinflammatory drug.

Ventilator variables for the cohort are summarized in Table 2. On Day 1, the median P:F ratio was 103 (82–134). This increased modestly over the first 7 days. The median plateau pressure was 25 (21–29) cm/H2O on Day 1 and remained constant. The median tidal volumes were 7.01 (6.13, 8.10) ml/kg of ideal body weight on Day 1, and decreased over the observed period. The median driving pressure was 14.0 (11.0–17.2) cm/H2O, and decreased. The median extrinsic PEEP was 10 (8–12) cm/H2O, and increased. The median static compliance was 28 (23–38) ml/cm H2O, and remained constant. The median ventilatory ratio was 1.79 (1.47–2.27), and increased over the observed period. Table 3 displays differences in ventilator variables between those who remained intubated, those successfully extubated, and those who died. There were no differences in any ventilator variables observed on Day 1 in any group. However, on Day 3, the minute ventilation was higher in those who died compared with the other groups (corrected q < 0.001). On Day 3 there was a trend for higher ventilator ratio (corrected q = 0.086) and a lower P:F ratio (corrected q = 0.086) in those who died compared with those who remain intubated or were extubated.

Table 2.

Respiratory variables on Days 1, 3, and 7 of mechanical ventilation

Variable Day 1 (n = 267)* Day 3 (n = 252)* Day 7 (n = 206)* P Value q Value
Pco2 44 (38–52) 46 (41–52) 50 (43–56) <0.001 <0.001
PaO2:FiO2 103 (82–134) 138 (106–177) 138 (109–168) <0.001 <0.001
Exhaled minute volume, L/min 9.39 (8.13–11.33) 9.99 (8.50–11.70) 10.10 (8.60–12.17) 0.039 0.049
Tidal volume/predicted weight, cc/kg 7.01 (6.13–8.10) 6.38 (6.00–6.97) 6.57 (6.14–7.30) <0.001 <0.001
Static compliance, cm H2O 28 (23–38) 31 (25–40) 31 (23–40) 0.11 0.12
Driving pressure, cm H2O 14.0 (11.0–17.2) 12.0 (9.0–15.2) 13.0 (10.0–16.8) 0.007 0.011
Plateau pressure, cm H2O 25.0 (21.0–29.0) 24.0 (20.0–28.0) 25.0 (22.0–29.0) 0.2 0.2
PEEP, cm H2O 10.0 (8.0–12.0) 12.0 (10.0–14.0) 12.0 (8.0–14.0) 0.002 0.003
Ventilatory ratio 1.79 (1.47–2.27) 1.91 (1.55–2.39) 2.08 (1.71–2.52) <0.001 <0.001

Definition of abbreviations: FiO2 = fraction of inspired oxygen; PaO2 = arterial oxygen pressure; Pco2 = partial pressure of carbon dioxide; PEEP = positive end-expiratory pressure.

*

Data presented as median (interquartile range).

Statistical test: Kruskal-Wallis.

False discovery rate correction for multiple testing.

Table 3.

Respiratory variables on Days 1 and 3 between those who remain intubated, those extubated, and those who died

Variables Currently Intubated Extubated Deceased P Value* q Value
Day 1 n = 141 n = 77 n = 49    
 PaCO2 44 (38–53) 43 (38–49) 46 (38–53) 0.3 0.8
 PaO2:FiO2 105 (81–130) 104 (85–139) 98 (81–133) 0.4 0.8
 Tidal volume/predicted weight, cc/kg 7.03 (6.23–8.10) 7.06 (6.17–8.24) 6.30 (5.95–7.57) 0.2 0.8
 Static compliance, cm H2O 28 (20–39) 29 (23–40) 29 (24–37) 0.5 0.8
 Driving pressure, cm H2O 14.0 (11.0–17.8) 13.0 (9.0–16.5) 15.0 (12.0–18.0) 0.3 0.8
 Plateau pressure, cm H2O 26.0 (22.0–29.0) 24.0 (20.0–28.0) 26.0 (22.0–30.0) 0.4 0.8
 PEEP, cm H2O 10.0 (10.0–12.0) 10.0 (8.0–12.0) 10.0 (8.5–10.0) 0.3 0.8
 Exhaled minute volume, L/min 9.45 (8.09–11.45) 9.30 (8.10–10.85) 9.95 (8.33–11.38) 0.8 0.9
 Ventilatory ratio 1.83 (1.51–2.32) 1.76 (1.45–2.18) 1.82 (1.44–2.58) 0.6 0.8
Day 3 n = 131 n = 73 n = 43    
 PaCO2 48 (42–52) 46 (40–50) 47 (41–52) 0.4 0.5
 PaO2:FiO2 136 (106–168) 153 (122–192) 129 (107–156) 0.028 0.086
 Tidal volume/predicted weight, cc/kg 6.43 (6.01–7.01) 6.30 (6.00–6.84) 6.35 (5.97–6.96) 0.6 0.6
 Static compliance, cm H2O 30 (24–42) 31 (26–38) 35 (26–44) 0.2 0.3
 Driving pressure, cm H2O 13.0 (10.0–16.0) 12.0 (9.0–14.2) 12.0 (8.5–15.0) 0.4 0.5
 Plateau pressure, cm H2O 25 (22–28) 23 (19–26) 25 (20–28) 0.090 0.2
 PEEP, cm H2O 12.0 (10.0–14.0) 10.0 (8.0–14.0) 12.0 (10.0–14.0) 0.021 0.086
 Exhaled minute volume, L/min 10.20 (8.68–11.85) 9.00 (8.08–10.00) 11.40 (10.00–12.50) <0.001 <0.001
 Ventilatory ratio 1.97 (1.63–2.50) 1.79 (1.48–2.12) 2.26 (1.53–2.50) 0.036 0.086

Definition of abbreviations: FiO2 = fraction of inspired oxygen; PaCO2 = arterial carbon dioxide pressure; PaO2 = arterial oxygen pressure; PEEP = positive end-expiratory pressure.

*

Statistical test: Kruskal-Wallis.

False discovery rate correction for multiple testing.

Data presented as median (interquartile range).

Discussion

This study of 267 patients demonstrates that respiratory failure related to COVID-19 meets the criteria for moderate to severe ARDS, given the initial median P:F ratio of 103. These data compliment other early reports (1, 4, 8). There was also a high use of rescue therapies, such as prone positioning and a prolonged duration of mechanical ventilation. This severe morbidity occurred despite the use of a lung-protective ventilation strategy, as evidenced by the median plateau pressures and tidal volume.

An important question is whether or not COVID-19 is a distinct form of ARDS that requires a different treatment strategy (9). Importantly, ARDS is not a single disease. Rather, patients with ARDS have diverse pathology, and the syndrome’s definition is used to identify eligibility for therapeutic trials. In this cohort, the baseline extrinsic PEEP, driving pressure, and static compliance were similar to ARDS Network trials, and the recent worldwide observational study, LUNGSAFE (Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE) (1012). However, the variability of the respiratory compliance is considerable, as 25% of patients have a compliance greater than 38 ml/cm H2O, which suggests significant heterogeneity. The duration of mechanical ventilation was prolonged in those that remained intubated, which is longer than in other studies of ARDS (10).

Surprisingly, there were no observed differences between those with early mortality compared with those that remained intubated or were successfully extubated in this cohort. However, on Day 3, increasing minute ventilation and ventilatory ratio were seen in those who died, along with a P:F ratio that failed to improve. These findings suggest the potential for differential patient trajectories within this disease.

There are a number of limitations of our study. First, the three time points of our study are only snapshots of the dynamic nature of COVID-19 respiratory failure. Moreover, the majority of patients in this cohort were still receiving mechanical ventilation at the time of this analysis. A more definitive comparison of COVID-19 respiratory failure with other forms of ARDS would require rigorous comparison with a contemporary control group. Our analysis of respiratory system compliance does not account for the effects of PEEP titration. Moreover, we lack volumetric capnography, and therefore cannot assess the effects of metabolic rate on gas exchange. We would expect that metabolic rate would vary greatly during fever and neuromuscular blockade (13). A more complete characterization of gas exchange in COVID-19 would require direct measurement of the dead space and shunt fraction. Another limitation of our study is the incomplete standardization of ventilator practice without the use of a formal PEEP titration table.

Conclusions

Patients in this cohort of COVID-19 respiratory failure meet criteria for moderate to severe ARDS, and had baseline respiratory mechanics that were comparable to those in patients enrolled in prior therapeutic trials and observational studies of ARDS. Baseline respiratory mechanics were not different between those who died and those extubated or who remained intubated. Differences in these groups developed over time, suggesting differential trajectories of COVID-19–associated respiratory failure.

Acknowledgments

Acknowledgment

The authors thank all of the nurses, respiratory therapists, and physicians who courageously expanded their roles during this surge. This work was made possible through data provided by the Cornell COVID-19 Registry, led by Parag G. Goyal, M.D., Justin Choi, M.D., Laura Pinheiro, Ph.D., and Monika Safford, M.D., of Weill Cornell Medicine. The authors also thank the contributions to this work of the Architecture for Research Computing in Health team.

Footnotes

Supported in part by U.S. National Institutes of Health (NIH) grant UL1 TR000457, and by NIH/National Center for Advancing Translational Sciences grant KL2-TR-002385 (J.C.).

Author Contributions: Concept and design—E.J.S., F.J.M., and D.A.B. Analysis and interpretation—E.J.S., K.H., P.G., and J.C. Drafting of the manuscript—E.J.S., P.G., J.C., L.T., K.R., C.W.T., N.I., F.J.M., and D.A.B.

Author disclosures are available with the text of this letter at www.atsjournals.org.

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