Literature DB >> 32203672

Ventilatory Ratio in Hypercapnic Mechanically Ventilated Patients with COVID-19-associated Acute Respiratory Distress Syndrome.

Xiaoqing Liu1,2,3, Xuesong Liu1,2,3, Yonghao Xu1,2,3, Zhiheng Xu1,2,3, Yongbo Huang1,2,3, Sibei Chen1,2,3, Shiyue Li1,2,3, Dongdong Liu1,2,3, Zhimin Lin1,2,3, Yimin Li1,2,3.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32203672      PMCID: PMC7233337          DOI: 10.1164/rccm.202002-0373LE

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


× No keyword cloud information.
To the Editor: Lung-protective ventilation with low Vt has become a cornerstone of management in patients with acute respiratory distress syndrome (ARDS) (1, 2). However, a consequence of low-Vt ventilation is hypercapnia, which has significant physiological effects and may be associated with higher hospital mortality (2, 3). Ventilatory ratio (VR), defined as [minute ventilation (ml/min) × PaCO (mm Hg)]/[predicted body weight × 100 (ml/min) × 37.5 (mm Hg)] (4), is a simple bedside index of impaired efficiency of ventilation and correlates well with physiological Vd fraction (Vd-to-Vt ratio, Vd/Vt) in patients with ARDS (4–6). However, the VR and appropriate lung ventilation strategy for coronavirus disease (COVID-19)-associated ARDS remain largely unknown. Here, we report a case series highlighting ventilatory ratio in hypercapnic mechanically ventilated patients with COVID-19–associated ARDS in our ICU and their individualized ventilation strategies.

Case Series

The study was approved by the ethics committee of the First Affiliated Hospital of Guangzhou Medical University. The requirement for informed consent was waived because the study was observational and the family members were in quarantine. The First Affiliated Hospital of Guangzhou Medical University is the designated center for patients with COVID-19 in Guangdong, China. We included eight consecutive patients (seven male; mean age, 63.2 ± 11.0 yr) who were intubated in another hospital before being transferred to our ICU. All patients had a history of exposure in Wuhan City or direct contact with patients with confirmed COVID-19. All patients reported fever, cough, shortness of breath, and generalized weakness before hospitalization and tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on the basis of real-time PCR of throat swab specimens. All patients were diagnosed with ARDS according to the Berlin definition (7): PaO/FiO ratio, 102.0 ± 29.7 mm Hg (mean ± SD), with Acute Physiology and Chronic Health Evaluation II score 21.6 ± 5.3 and Sequential Organ Failure Assessment score 9.1 ± 2.7 (Table 1).
Table 1.

Baseline Characteristics of Eight Patients with Acute Respiratory Distress Syndrome Infected with SARS-CoV-2

CharacteristicPatients (N = 8)
Exposure history8/8
Age, yr63.2 ± 11.0
Sex, M7/8
Body mass index, kg/m222.7 ± 2.3
Predicted body weight, kg64.7 ± 6.0
Chronic medical illness 
 Hypertension4/8
 Diabetes3/8
 Coronary heart disease1/8
 Chronic obstructive pulmonary disease1/8
 Obstructive sleep apnea syndrome1/8
 Hepatitis B1/8
 Smoker3/8
Presenting symptoms onset 
 Fever8/8
 Cough7/8
 Generalized weakness4/8
 Shortness of breath3/8
Real-time RT-PCR of throat swab8/8
Radiologic characteristics 
 Bilateral pneumonia8/8
 Multiple mottling and ground-glass opacity8/8
Noninvasive ventilation before intubation1/8
 Duration of noninvasive ventilation, d1
HFNC before intubation7/8
 Duration of HFNC, d2.6 ± 2.2
PaO2/FiO2 ratio, mm Hg102.0 ± 29.7
APACHE II score21.6 ± 5.3
SOFA score9.1 ± 2.7
Weaning before day 28 at ICU5/8
Discharge before day 28 at ICU5/8
28-d mortality at ICU0/8

Definition of abbreviations: APACHE = Acute Physiology and Chronic Health Evaluation; HFNC = high-flow nasal cannula oxygen therapy; SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2; SOFA = Sequential Organ Failure Assessment.

Data are presented as mean ± SD or n/N unless otherwise noted.

Baseline Characteristics of Eight Patients with Acute Respiratory Distress Syndrome Infected with SARS-CoV-2 Definition of abbreviations: APACHE = Acute Physiology and Chronic Health Evaluation; HFNC = high-flow nasal cannula oxygen therapy; SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2; SOFA = Sequential Organ Failure Assessment. Data are presented as mean ± SD or n/N unless otherwise noted. A ventilation strategy using a low Vt of 6.0 ml/kg predicted body weight (PBW) was used in the first four consecutive patients. However, they had respiratory distress with low oxygen saturation as measured by pulse oximetry, so we immediately increased Vt to 7.0 ± 0.6 ml/kg PBW (Table 2). This resulted in an acceptable plateau pressure (23.3 ± 2.2 cm H2O) and driving pressure (12.3 ± 1.7 cm H2O). However, all four patients developed hypercapnia (PaCO, 57.7 ± 5.2 mm Hg). Respiratory system compliance was only moderately reduced (static respiratory system compliance, 35.7 ± 5.8 ml/cm H2O). To examine this issue, we measured VR; the mean value was 2.1 ± 0.3 in the initial four patients, suggesting high Vd/Vt (4–6).
Table 2.

Ventilator Settings

VariablesLow Vt (Initial 4 Patients)Intermediate Vt (Initial 4 Patients)P ValueIntermediate Vt (8 Patients)
Vt, ml/kg PBW7.0 ± 0.67.7 ± 0.80.0227.5 ± 0.6
PaCO2, mm Hg57.7 ± 5.244.1 ± 3.60.00341.8 ± 3.7
PaO2/FiO2 ratio207 ± 61241 ± 380.402230 ± 49
RR, beats/min21.5 ± 2.021.0 ± 1.40.18220.1 ± 1.5
Ve, L/min9.1 ± 1.09.8 ± 1.00.0209.3 ± 1.0
Ventilation ratio2.1 ± 0.31.7 ± 0.20.0181.6 ± 0.2
Pplat, cm H2O23.3 ± 2.223.3 ± 3.1>0.99923.6 ± 2.7
PEEP, cm H2O11.0 ± 1.210.0 ± 1.40.2509.6 ± 1.2
ΔP, cm H2O12.3 ± 1.713.5 ± 2.70.08014.1 ± 2.5
Cst, ml/cm H2O35.7 ± 5.836.1 ± 7.90.59533.9 ± 7.6
EELV, ml2,559 ± 612,285 ± 355

Definition of abbreviations: Cst = static respiratory system compliance; ΔP = driving pressure; EELV = end-expiratory lung volume; PBW = predicted body weight; PEEP = positive end-expiratory pressure; Pplat = plateau pressure; RR = respiratory rate.

Data are presented as mean ± SD. P value indicates difference between low Vt and intermediate Vt of the initial four patients using a paired t test.

Ventilator Settings Definition of abbreviations: Cst = static respiratory system compliance; ΔP = driving pressure; EELV = end-expiratory lung volume; PBW = predicted body weight; PEEP = positive end-expiratory pressure; Pplat = plateau pressure; RR = respiratory rate. Data are presented as mean ± SD. P value indicates difference between low Vt and intermediate Vt of the initial four patients using a paired t test. We then performed titration of Vt. An increased Vt (7.7 ± 0.8 ml/kg PBW) was applied to the initial four patients (Table 2). PaCO decreased significantly compared with Vt 7.0 ml/kg PBW (57.7 ± 5.2 vs. 44.1 ± 3.6 mm Hg; P = 0.003) with permitted plateau pressure (23.3 ± 3.1 cm H2O) and driving pressure (13.5 ± 2.7 cm H2O). Importantly, VR in the four patients was significantly decreased (1.7 ± 0.2 vs. 2.1 ± 0.3; P = 0.018) and PaO/FiO was slightly improved (241 ± 38 mm Hg vs. 207 ± 61; P = 0.402) compared with Vt 7.0 ml/kg PBW. Therefore, an intermediate Vt of 7.5 ± 0.6 ml/kg PBW was applied to the subsequent four patients with COVID-19 ARDS. The PaCO was 41.8 ± 3.7 mm Hg, and VR was 1.6 ± 0.2.

Discussion

We found that hypercapnia was common in patients with COVID-19–related ARDS with low Vt ventilation. High VR was found in these patients, indicating inadequacy of ventilation in patients with ARDS with COVID-19. An intermediate Vt (7–8 ml/kg PBW) ventilation strategy was applied to the first four patients to increase pulmonary efficiency to eliminate CO2, and this was used in the next four patients. Gas exchange consists of oxygenation and ventilation. Oxygenation is quantified by the PaO/FiO ratio, and this method has gained wide acceptance, particularly since publication of the Berlin definition of ARDS (7). However, the Berlin definition does not include additional pathophysiological information about ARDS, such as alveolar ventilation, as measured by pulmonary dead space, which is an important predictor of outcome (8). Increased pulmonary dead space reflects the inefficiency of the lungs to eliminate CO2, which may lead to hypercapnia. In our patients with ARDS with COVID-19, hypercapnia was common at ICU admission with low Vt ventilation. Assuming the anatomic portion of dead space is constant, increasing Vt with constant respiratory rate would effectively increase alveolar ventilation. Any such increase in Vt would decrease PaCO, which would be captured by VR (6). VR, a novel method to monitor ventilatory adequacy at the bedside (4–6), was very high in our patients, reflecting increased pulmonary dead space and inadequacy of ventilation. With an acceptable plateau pressure and driving pressure, titration of Vt was performed. PaCO and VR were significantly decreased when an intermediate Vt (7–8 ml/kg PBW) was applied. We suggest that intermediate Vt (7–8 ml/kg PBW) is recommended for such patients. Therefore, low Vt may not be the best approach for all patients with ARDS, particularly those with a less severe decrease in respiratory system compliance and inadequacy of ventilation. In summary, we found that hypercapnia was common in patients with COVID-19–associated ARDS while using low Vt ventilation. VR was increased in these patients, which reflected increased pulmonary dead space and inadequacy of ventilation. An intermediate Vt was used to correct hypercapnia efficiently, while not excessively increasing driving pressure. Clinicians must have a high index of suspicion for increased pulmonary dead space when patients with COVID-19–related ARDS present with hypercapnia.
  8 in total

1.  Pulmonary dead-space fraction as a risk factor for death in the acute respiratory distress syndrome.

Authors:  Thomas J Nuckton; James A Alonso; Richard H Kallet; Brian M Daniel; Jean-François Pittet; Mark D Eisner; Michael A Matthay
Journal:  N Engl J Med       Date:  2002-04-25       Impact factor: 91.245

2.  Effects of Hypercapnia and Hypercapnic Acidosis on Hospital Mortality in Mechanically Ventilated Patients.

Authors:  Ravindranath Tiruvoipati; David Pilcher; Hergen Buscher; John Botha; Michael Bailey
Journal:  Crit Care Med       Date:  2017-07       Impact factor: 7.598

3.  Ventilatory ratio: a simple bedside measure of ventilation.

Authors:  P Sinha; N J Fauvel; S Singh; N Soni
Journal:  Br J Anaesth       Date:  2009-04-03       Impact factor: 9.166

Review 4.  Re-examining Permissive Hypercapnia in ARDS: A Narrative Review.

Authors:  Tavish Barnes; Vasileios Zochios; Ken Parhar
Journal:  Chest       Date:  2017-11-22       Impact factor: 9.410

5.  Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome.

Authors:  Roy G Brower; Michael A Matthay; Alan Morris; David Schoenfeld; B Taylor Thompson; Arthur Wheeler
Journal:  N Engl J Med       Date:  2000-05-04       Impact factor: 91.245

6.  Acute respiratory distress syndrome: the Berlin Definition.

Authors:  V Marco Ranieri; Gordon D Rubenfeld; B Taylor Thompson; Niall D Ferguson; Ellen Caldwell; Eddy Fan; Luigi Camporota; Arthur S Slutsky
Journal:  JAMA       Date:  2012-06-20       Impact factor: 56.272

7.  Physiologic Analysis and Clinical Performance of the Ventilatory Ratio in Acute Respiratory Distress Syndrome.

Authors:  Pratik Sinha; Carolyn S Calfee; Jeremy R Beitler; Neil Soni; Kelly Ho; Michael A Matthay; Richard H Kallet
Journal:  Am J Respir Crit Care Med       Date:  2019-02-01       Impact factor: 30.528

8.  Analysis of ventilatory ratio as a novel method to monitor ventilatory adequacy at the bedside.

Authors:  Pratik Sinha; Nicholas J Fauvel; Pradeep Singh; Neil Soni
Journal:  Crit Care       Date:  2013-02-27       Impact factor: 9.097

  8 in total
  33 in total

1.  PEEP/ FIO2 ARDSNet Scale Grouping of a Single Ventilator for Two Patients: Modeling Tidal Volume Response.

Authors:  Vitaly O Kheyfets; Steven R Lammers; Jennifer Wagner; Karsten Bartels; Jerome Piccoli; Bradford J Smith
Journal:  Respir Care       Date:  2020-08       Impact factor: 2.258

Review 2.  Pharmacological and non-pharmacological strategies in coronavirus disease 2019: A literature review.

Authors:  Francisco J González-Ruiz
Journal:  Ann Med Surg (Lond)       Date:  2022-05-08

3.  Ventilatory Support in Patients with COVID-19.

Authors:  Paolo Maria Leone; Matteo Siciliano; Jacopo Simonetti; Angelena Lopez; Tanzira Zaman; Francesco Varone; Luca Richeldi
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

4.  Molecular mechanisms of Na,K-ATPase dysregulation driving alveolar epithelial barrier failure in severe COVID-19.

Authors:  Vitalii Kryvenko; István Vadász
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2021-03-09       Impact factor: 5.464

Review 5.  Inhalational volatile-based sedation for COVID-19 pneumonia and ARDS.

Authors:  Angela Jerath; Niall D Ferguson; Brian Cuthbertson
Journal:  Intensive Care Med       Date:  2020-06-25       Impact factor: 17.440

6.  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

7.  ECCO2R in 12 COVID-19 ARDS Patients With Extremely Low Compliance and Refractory Hypercapnia.

Authors:  Xin Ding; Huan Chen; Hua Zhao; Hongmin Zhang; Huaiwu He; Wei Cheng; Chunyao Wang; Wei Jiang; Jie Ma; Yan Qin; Zhengyin Liu; Jinglan Wang; Xiaowei Yan; Taisheng Li; Xiang Zhou; Yun Long; Shuyang Zhang
Journal:  Front Med (Lausanne)       Date:  2021-07-08

8.  Respiratory mechanics and gas exchanges in the early course of COVID-19 ARDS: a hypothesis-generating study.

Authors:  J-L Diehl; N Peron; R Chocron; B Debuc; E Guerot; C Hauw-Berlemont; B Hermann; J L Augy; R Younan; A Novara; J Langlais; L Khider; N Gendron; G Goudot; J-F Fagon; T Mirault; D M Smadja
Journal:  Ann Intensive Care       Date:  2020-07-16       Impact factor: 6.925

9.  Curative anticoagulation prevents endothelial lesion in COVID-19 patients.

Authors:  Lina Khider; Nicolas Gendron; Guillaume Goudot; Richard Chocron; Caroline Hauw-Berlemont; Charles Cheng; Nadia Rivet; Helene Pere; Ariel Roffe; Sébastien Clerc; David Lebeaux; Benjamin Debuc; David Veyer; Bastien Rance; Pascale Gaussem; Sébastien Bertil; Cécile Badoual; Philippe Juvin; Benjamin Planquette; Emmanuel Messas; Olivier Sanchez; Jean-Sébastien Hulot; Jean-Luc Diehl; Tristan Mirault; David M Smadja
Journal:  J Thromb Haemost       Date:  2020-07-30       Impact factor: 16.036

10.  Angiopoietin-2 as a marker of endothelial activation is a good predictor factor for intensive care unit admission of COVID-19 patients.

Authors:  David M Smadja; Coralie L Guerin; Richard Chocron; Nader Yatim; Jeremy Boussier; Nicolas Gendron; Lina Khider; Jérôme Hadjadj; Guillaume Goudot; Benjamin Debuc; Philippe Juvin; Caroline Hauw-Berlemont; Jean-Loup Augy; Nicolas Peron; Emmanuel Messas; Benjamin Planquette; Olivier Sanchez; Bruno Charbit; Pascale Gaussem; Darragh Duffy; Benjamin Terrier; Tristan Mirault; Jean-Luc Diehl
Journal:  Angiogenesis       Date:  2020-05-27       Impact factor: 10.658

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.