Literature DB >> 34909348

Respiratory Pathophysiology of Mechanically Ventilated COVID-19 Patients.

Anas Khalil1, Atif Aljohani2, Bashayer Alemam3, Fardus Alshangiti3, Fatmah A Jeddo3, Hayam Albadi3, Hind M Alshanqiti3, Raghad Almughazzawi3.   

Abstract

Background and objectives Coronavirus disease 2019 (COVID-19) is mainly a disease of the respiratory system that can lead to acute respiratory distress syndrome (ARDS). The pathophysiology of COVID-19 ARDS and consequently its management is a disputable subject. Early COVID-19 investigators hypothesized that the pathogenesis of COVID-19 ARDS is different from the usual ARDS. The aim of this study was to describe the lung mechanics in mechanically ventilated COVID-19 patients with ARDS. Methodology An observational retrospective cohort study was conducted on adult COVID-19 patients with ARDS who needed mechanical ventilation in the ICU of Ohoud Hospital, Madinah, KSA, from June to September 2020. Data were collected from the patients' medical charts and electronic medical records and analyzed using Statistical Package for the Social Sciences (SPSS) software package version 22 (IBM Corp., Armonk, NY) for descriptive statistical analysis. Measurements and main results A total of 52 patients were analyzed: on intubation, the median positive end-expiratory pressure (PEEP) was 10 cm H2O (IQR, 2.3-16), the median plateau pressure was 27 cm H2O (IQR, 12-40), and the median driving pressure was 17 cm H2O (IQR, 3-30). The median static compliance of the respiratory system was 24.7 mL/cm H2O (IQR, 12.8-153.3). 59.5% had severe ARDS (the PaO2/FiO2 ratio was less than 100 mmHg), and 33% had moderate ARDS (the PaO2/FiO2 ratio ranged from 100 to 200 mmHg). Conclusion Our results suggest that the lung mechanics in COVID-19 ARDS patients who need mechanical ventilation do not differ from non-COVID-19 patients.
Copyright © 2021, Khalil et al.

Entities:  

Keywords:  acute respiratory distress syndrome; coronavirus disease 2019; mechanical ventilation; partial pressure of arterial oxygen/ fractional inspired oxygen; peak inspiratory pressure; plateau pressure; positive end-expiratory pressure; respiratory pathophysiology; severe acute respiratory syndrome coronavirus-2; static compliance

Year:  2021        PMID: 34909348      PMCID: PMC8653920          DOI: 10.7759/cureus.20218

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

In late December 2019, an outbreak of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) emerged that was later named coronavirus disease 2019 (COVID-19) [1,2]. About 2.6 million patients have died from the disease with a case fatality rate (CFR) of 2.2% [3]. COVID-19 has not only caused significant loss of human life but also poses an unprecedented challenge to global economy, poverty and public health [4]. COVID-19 is mainly a disease of the respiratory system resulting in pneumonia and then acute respiratory distress syndrome (ARDS) [1,2,5]. ARDS is an acute lung inflammation that affects both lungs and cause leakage of plasma and blood into the alveoli, leading to non-cardiogenic pulmonary edema. Subsequently, this causes shunt-related hypoxemia, low lung compliance and reduced ventilatable lung parenchyma [6,7]. Hence, the treatment of ARDS is focused on improving oxygenation, preventing further lung injury and increasing lung homogeneity [6]. This can be achieved by lung recruitment using high positive end-expiratory pressure (PEEP) and prone positioning, low tidal volume ventilation, preventing applying high pressure from the ventilator on the alveoli (plateau pressure) and maintaining patient-ventilatory synchrony. Some investigators found that patients with ARDS from COVID-19 had preserved lung mechanics (relatively high lung compliance) despite the presence of severe hypoxemia [8]. Contrary to the usual ARDS where severe hypoxemia is associated with poor lung mechanics. They hypothesized that the pathogenesis of COVID-19 ARDS is different from the usual ARDS and suggested a different approach to ARDS management [8]. They proposed two different types of COVID-19 ARDS: (1) an L-type with high respiratory compliance, low recruitability and lower lung weight. (2) An H-type that is similar to the typical ARDS with low respiratory compliance, high recruitability and higher lung weight with extensive consolidation [9]. For the L-type, they suggested modifying ARDS management using higher tidal volume (8-9 m/kg), lower PEEP, no prone positioning except as a rescue maneuver and early intubation to prevent self-inflicted lung injury. The H-type should be treated with higher PEEP, low tidal volume (6 mL/kg), prone positioning [9]. Many patients with COVID-19 ARDS will end up needing mechanical ventilation. These patients have a high CFR that can range from 47% to 84% according to their age [10]. Understanding the lung mechanics in COVID-19 ARDS patients will help our understanding of the pathophysiology of this disease and the search for the best management. This in turn should improve the hospital and ICU outcomes of COVID-19 patients. In this study, we looked into the respiratory pathophysiology of mechanically ventilated COVID-19 patients with acute respiratory distress syndrome at Ohoud Hospital, Madinah, Saudi Arabia.

Materials and methods

Type of study An observational retrospective cohort study was conducted on adult COVID-19 patients who needed mechanical ventilation in Ohoud Hospital, Madinah, KSA from 22.06.2020 to 27.09.2020. Ethical approval Ethical approval was obtained from the Medical Research Ethics Committee, Taibah University, Madinah. Approval was also obtained from: Madinah Health Affairs Directorate, Ministry of Health, and Ohoud Hospital, Ministry of Health, Madinah. Inclusion criteria · Adult patients aged more than 18 years. · Acute respiratory distress syndrome from COVID-19. · Patients who needed mechanical ventilation. · Day time collected records. · Records from the day of intubation or 1-2 days after. · Male and female patients. · Patients with or without comorbidities Exclusion criteria · Missing or insufficient data. · ARDS not attributed to COVID-19. Sample size A total of 92 patients, 40 (43.4%) of them were excluded because they did not meet the inclusion criteria. Fifty-two (56.6%) patients were included. Place of study Intensive Care Department at Ohoud Hospital in Madinah, KSA. Data collection Patients admitted to the intensive care unit department with a diagnosis of COVID-19 who developed ARDS needing mechanical ventilation were selected as possible candidates for the study. Subsequently, we reviewed their medical charts and electronic medical records to obtain the necessary data. The collected data included: Demographic data. Medical history and comorbidities. Mechanical ventilation settings and numbers. Other sources of oxygen used to treat the study patients. Medications: sedation, respiratory medications, inotropes and diuretics. The duration of Intensive Care Unit admission, intubation, and number of days on ventilators were recorded. Statistical analysis We performed descriptive statistical analysis using Statistical Package for the Social Sciences (SPSS) software package version 22 (IBM Corp., Armonk, NY) to summarize the following data: changes in oxygenation parameters in COVID-19 respiratory failure patients and response to established management for COVID-19 respiratory failure patients. Other statistical analyses included calculating the driving pressure by subtracting PEEP from Plateau Pressure and calculating the Static Compliance by dividing Tidal Volume over Driving Pressure and calculating the PaO2/FiO2 ratio.

Results

In this study, a total of 52 intubated patients with laboratory-confirmed COVID-19 were intubated and admitted to the ICU at Ohud Hospital in Medina, KSA. The patients’ age range was 41-95 years (Table 1). The median age was 63 years (range, 41-92 years), most of the participants were males (33 (63.5%)) and 19 (36.5%) were females (Table 2).
Table 1

Patients’ demographics.

 MedianMinimumMaximumMeanSD
Age6341956413.1
Height165145185166.98.8
Weight61.5397961.79.4
Table 2

Gender.

 FrequencyPercent
Female1936.5
Male3363.5
Comorbidities Twenty-seven patients (51%) had diabetes, 27 patients (51%) had hypertension, seven patients (13.4%) had bronchial asthma, four patients (7.6%) had ischemic heart disease, three patients (5.7%) had bronchopneumonia, and three patients (5.7%) had chronic kidney disease. Respiratory parameters on intubation The Berlin criteria were used to classify ARDS: PaO2/FiO2 ratio ≤300 and >200 is mild ARDS; PaO2/FiO2 ratio 100-200 is moderate ARDS; PaO2/FiO2 ratio, respiratory system compliance (≤40 mL/cm H2O), positive end-expiratory pressure (≥10 cm H2O). On intubation, 25 patients (76.9%) had severe ARDS according to the Berlin criteria for ARDS (PaO2/FiO2 ratio< 100), and 14 patients had moderate ARSD (PaO2/FiO2 ratio 100- 200). On intubation, the median PEEP was 10 cm H2O (IQR, 2.3-16), the median plateau pressure was 27 cm H2O (IQR, 12-40), and the median driving pressure was 17 cm H2O (IQR, 3-30). The median static compliance of the respiratory system was 24.7 mL/cm H2O (IQR, 12.8-153.3) (Table 3).
Table 3

Respiratory parameters on intubation.

PaO2/FiO2: partial pressure of arterial oxygen/fractional inspired oxygen; PEEP: positive end-expiratory pressure; P Plateau: plateau pressure; PIP: peak inspiratory pressure.

 NRangeMedianMinimumMaximumMeanSD
PaO2/FiO2 ratio41179.08525.0204.095.68043.8837
PEEP5213.7102.316.010.2752.9015
P plateau5228.02712.040.026.1925.9013
Driving pressure5227.0173.030.015.9175.6865
Static compliance52140.524.712.8153.332.62126.2415
PIP5132.03113.045.029.8636.8732

Respiratory parameters on intubation.

PaO2/FiO2: partial pressure of arterial oxygen/fractional inspired oxygen; PEEP: positive end-expiratory pressure; P Plateau: plateau pressure; PIP: peak inspiratory pressure. ICU therapies Twenty-seven patients (51.9%) were on non-invasive positive pressure ventilation, and 27 patients (51.9%) were on a high-flow nasal cannula (Table 4).
Table 4

Patient characteristics.

All patientsCharacteristics
Number of patientsPercentage of patients (N = 52)
  Demographics
52/5263 (41-92)Age, year, median (range)
  Sex, n (%)
33/5263.5%Male
19/5236.5%Female
51/52165 (145-185)Height median (range)
51/5261.5 (39-79)Weight median (range)
51/5222.6 (18.5-23.1)BMI median (range)
  Comorbidities
27/5251%DM
27/5251%HTN
7/5213.4%Bronchial asthma
4/527.6%Ischemic Heart Disease
3/525.7%Bronchopneumonia
3/525.7%Chronic Kidney Disease
  Respiratory parameters on intubation
41/5285 (25-204)PaO:FIO2 , median (IQR)
  Ventilator parameters on intubation, median (IQR)
52/5210 (2.3-16)Positive end-expiratory pressure, cm H2O
52/5227 (12-40)Plateau pressure, cm H2O
52/5217 (3-30)Driving pressure, cm H2O
52/5224.7 (12.8-153.3)Static compliance, ml/cm H2O
Medications Sedation Fifty patients (96.1%) were taking fentanyl, 41 patients (78.8%) were taking propofol, 29 patients (55.7%) were taking atracurium, and 16 patients (30.7%) were taking benzodiazepine (Table 5).
Table 5

Patient characteristics (continued).

All patientsCharacteristics
Percentage of patients (N = 52)Number of patients
  Medications
  Sedation
50/5296.1%Fentanyl
41/5278.8%Propofol
29/5255.7%Atracurium
16/5230.7%Benzodiazepine
  Respiratory Medications
9/5217.3%Ventolin
5/529.6%long-acting β2 agonist 
5/529.6%Pulmicort
2/523.8%Atrovent
1/521.9%Inhaled steroid
  Inotropes
34/5265.3%Norepinephrine
2/523.8%Dopamine
1/521.9%Epinephrine
1/521.9%Vasopressin
  Diuretics
8/5215.3%Diuretics
Respiratory medications Nine patients (17.3%) were taking Ventolin, five patients (9.6%) were taking long-acting β2 agonist, five patients (9.6%) were taking Pulmicort, two patients (3.8%) were taking Atrovent, and one patient (1.9%) was taking an inhaled steroid (Table 5). Inotropes Thirty-four patients (65.3%) were taking norepinephrine, two patients (3.8%) were taking dopamine, one patient (1.9%) was taking epinephrine, and one patient (1.9%) was taking vasopressin (Table 5). Diuretics Eight patients (15.3%) were taking diuretics (Table 5). Respiratory indices during the first three days after intubation, including the PaO2:FiO2 ratio, plateau pressure (Pplat), positive end-expiratory pressure (PEEP), and static compliance of the respiratory system (CstatRS), were obtained in intubated patients with coronavirus disease (COVID-19) respiratory failure. The number of patients with recorded values is shown below the Y-axis. The X-axis indicates the median value (Figures 1-4).
Figure 1

The frequency of the static compliance.

Figure 4

The frequency of the PEEP.

PEEP: positive end-expiratory pressure.

The frequency of the PEEP.

PEEP: positive end-expiratory pressure.

Discussion

This study aimed to investigate the lung mechanics of COVID-19 patients with ARDS managed with mechanical ventilation. The median respiratory system compliance in this cohort of patients was 24.7, which is similar to previously reported cohorts of non-COVID-19 ARDS [8,11]. Only two patients out of 52 had near-normal respiratory system compliance. These results contradict the early studies on COVID-19 ARDS, which reported that many of these patients have preserved lung compliance and lack of lung recruitability [8,11]. This study supports the findings of other studies that found no difference in lung mechanics between COVID-19 and non-COVID-19 ARDS patients [12]. The median PO2:FiO2 ratio in this study was 85 mmHg, which is significantly lower than in early reports on COVID-19 ARDS patients. 76.9% of the patients had severe ARDS according to the Berlin criteria. The median PaO2:FiO2 in Ziehr et al.’s study was 182 and in Schenck et al.’s study, it was 103 [12,13]. This difference can be explained by the fact that early in the pandemic, it was suggested that COVID-19 ARDS patients should be intubated early, which was expected to improve their PaO2:FiO2. Some studies [8,12] intubated almost all hypoxic COVID-19 patients on the first day of ICU admission. Another study recommended against the routine use of a high-flow nasal cannula or non-invasive ventilation and favored immediate invasive mechanical ventilation [12]. In our hospital, we advocated for a trial of high-flow nasal cannula and/or non-invasive ventilation before proceeding to invasive mechanical ventilation. About 51.9% of our cohort of patients had either used high-flow nasal cannula or non-invasive ventilation. Other findings worth mentioning in this cohort of patients is the high percentage of diabetes mellitus and hypertension (51% and 51%, respectively). Another study reported that 26% of their study population had diabetes mellitus and 44% had hypertension. Hypertension and DM have been associated with increased risk of severe COVID-19 infection and ARDS [14,15]. Moreover, although the average BMI of patients in our sample was ideal (18.5-23.1), they showed signs of severe ARDS. Thus, we cannot conclude that a higher BMI is associated with more severe ARDS in COVID-19 patients. The limitations in our study include small sample size, limited duration of follow-up, and one hospital-based sample.

Conclusions

Our study found that patients with COVID-19 and ARDS who needed mechanical ventilation had the same lung mechanics when compared to a cohort of patients with non-COVID-19 ARDS. We observed a lower PaO2:FiO2 ratio in these patients after mechanical ventilation. This can be attributed to tolerating a lower level of hypoxia and a trial of high-flow nasal cannula and/or non-invasive ventilation before initiating invasive mechanical ventilation. We need more studies to describe the biological and unique features of COVID-19, which would help clarify the best management of COVID-19 ARDS. Until then, we suggest treating ARDS in COVID-19 patients using conventional ARDS management strategies. .
  13 in total

Review 1.  Regional physiology of ARDS.

Authors:  Luciano Gattinoni; Tommaso Tonetti; Michael Quintel
Journal:  Crit Care       Date:  2017-12-28       Impact factor: 9.097

2.  Respiratory Mechanics and Gas Exchange in COVID-19-associated Respiratory Failure.

Authors:  Edward J Schenck; Katherine Hoffman; Parag Goyal; Justin Choi; Lisa Torres; Kapil Rajwani; Christopher W Tam; Natalia Ivascu; Fernando J Martinez; David A Berlin
Journal:  Ann Am Thorac Soc       Date:  2020-09

3.  Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study.

Authors:  Xiaobo Yang; Yuan Yu; Jiqian Xu; Huaqing Shu; Jia'an Xia; Hong Liu; Yongran Wu; Lu Zhang; Zhui Yu; Minghao Fang; Ting Yu; Yaxin Wang; Shangwen Pan; Xiaojing Zou; Shiying Yuan; You Shang
Journal:  Lancet Respir Med       Date:  2020-02-24       Impact factor: 30.700

Review 4.  Acute respiratory failure in COVID-19: is it "typical" ARDS?

Authors:  Xu Li; Xiaochun Ma
Journal:  Crit Care       Date:  2020-05-06       Impact factor: 9.097

5.  COVID-19 Does Not Lead to a "Typical" Acute Respiratory Distress Syndrome.

Authors:  Luciano Gattinoni; Silvia Coppola; Massimo Cressoni; Mattia Busana; Sandra Rossi; Davide Chiumello
Journal:  Am J Respir Crit Care Med       Date:  2020-05-15       Impact factor: 21.405

Review 6.  COVID-19 acute respiratory distress syndrome (ARDS): clinical features and differences from typical pre-COVID-19 ARDS.

Authors:  Peter G Gibson; Ling Qin; Ser Hon Puah
Journal:  Med J Aust       Date:  2020-06-22       Impact factor: 12.776

7.  COVID-19 pneumonia: different respiratory treatments for different phenotypes?

Authors:  Luciano Gattinoni; Davide Chiumello; Pietro Caironi; Mattia Busana; Federica Romitti; Luca Brazzi; Luigi Camporota
Journal:  Intensive Care Med       Date:  2020-04-14       Impact factor: 17.440

Review 8.  COVID-19 and Respiratory System Disorders: Current Knowledge, Future Clinical and Translational Research Questions.

Authors:  Shari B Brosnahan; Annemijn H Jonkman; Matthias C Kugler; John S Munger; David A Kaufman
Journal:  Arterioscler Thromb Vasc Biol       Date:  2020-09-22       Impact factor: 8.311

9.  The influence of diabetes and hypertension on outcome in COVID-19 patients: Do we mix apples and oranges?

Authors:  Marijana Tadic; Cesare Cuspidi
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-12-25       Impact factor: 3.738

Review 10.  Case Fatality Rates for Patients with COVID-19 Requiring Invasive Mechanical Ventilation. A Meta-analysis.

Authors:  Zheng Jie Lim; Ashwin Subramaniam; Mallikarjuna Ponnapa Reddy; Gabriel Blecher; Umesh Kadam; Afsana Afroz; Baki Billah; Sushma Ashwin; Mark Kubicki; Federico Bilotta; J Randall Curtis; Francesca Rubulotta
Journal:  Am J Respir Crit Care Med       Date:  2021-01-01       Impact factor: 21.405

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