Literature DB >> 32624494

Improved survival following ward-based non-invasive pressure support for severe hypoxia in a cohort of frail patients with COVID-19: retrospective analysis from a UK teaching hospital.

Graham P Burns1,2, Nicholas D Lane3,2, Hilary M Tedd3, Elizabeth Deutsch3, Florence Douglas3, Sophie D West3,2, Jim G Macfarlane3, Sarah Wiscombe3, Wendy Funston3.   

Abstract

Since the outbreak of COVID-19 in China in December 2019, a pandemic has rapidly developed on a scale that has overwhelmed health services in a number of countries. COVID-19 has the potential to lead to severe hypoxia; this is usually the cause of death if it occurs. In a substantial number of patients, adequate arterial oxygenation cannot be achieved with supplementary oxygen therapy alone. To date, there has been no clear guideline endorsement of ward-based non-invasive pressure support (NIPS) for severely hypoxic patients who are deemed unlikely to benefit from invasive ventilation. We established a ward-based NIPS service for COVID-19 PCR-positive patients, with severe hypoxia, and in whom escalation to critical care for invasive ventilation was not deemed appropriate. A retrospective analysis of survival in these patients was undertaken. Twenty-eight patients were included. Ward-based NIPS for severe hypoxia was associated with a 50% survival in this cohort. This compares favourably with Intensive Care National Audit and Research Centre survival data following invasive ventilation in a less frail, less comorbid and younger population. These results suggest that ward-based NIPS should be considered as a treatment option in an integrated escalation strategy in all units managing respiratory failure secondary to COVID-19. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  assisted ventilation; lung physiology; non invasive ventilation; respiratory infection; viral infection

Mesh:

Year:  2020        PMID: 32624494      PMCID: PMC7337887          DOI: 10.1136/bmjresp-2020-000621

Source DB:  PubMed          Journal:  BMJ Open Respir Res        ISSN: 2052-4439


Introduction

COVID-19 is a new disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The basic pathophysiology of this disease is not yet understood, and optimal management is not yet known. Since the outbreak in China in December 2019, a pandemic has rapidly developed with the scale of the outbreak overwhelming health services in many countries. While trials of disease specific treatments are underway, to date, there is no pharmaceutical agent with proven efficacy, and hospital management is essentially supportive. COVID-19 is known to involve several organs but its effect on the lungs, with impairment of gas transfer and severe hypoxia, is usually the cause of death when it occurs. In a substantial number of patients, adequate arterial oxygenation cannot be achieved with supplemental oxygen alone. To date, non-invasive pressure support (NIPS) has been regarded as a suboptimal alternative to invasive ventilation in severely hypoxic patients with COVID-19. There has been no clear guideline endorsement of NIPS as part of an integrated respiratory escalation strategy1–4; as a result, the establishment of COVID-19 NIPS units has not been prioritised. In severely hypoxic patients deemed unsuitable for invasive ventilation, some hospitals have been able to offer nothing more than supplemental oxygen and palliation.

Methods

At the start of the COVID-19 crisis in the UK, we set up a ward-based unit (physiotherapy delivered) for non-invasive respiratory support. Appropriateness for escalation to ICU was based on the NICE rapid guideline.5 Frailty was assessed using the Rockwood clinical frailty score, first published in 2005 and incorporated in the NICE rapid guidance for COVID-19 escalation.5 6 NIPS was offered to patients believed to be too frail to have the potential to benefit from invasive ventilation. Referral to the non-invasive support unit was in accordance with the escalation algorithm shown in figure 1.
Figure 1

Respiratory support escalation stratgey in acute presentation of COVID-19. CPAP, Continuous Positive Airways Pressure; COPD, Chronic Obstructive Pulmonary Disease; NIV, Non-Invasive Ventilation; ITU, Intensive Therapy Unit

Respiratory support escalation stratgey in acute presentation of COVID-19. CPAP, Continuous Positive Airways Pressure; COPD, Chronic Obstructive Pulmonary Disease; NIV, Non-Invasive Ventilation; ITU, Intensive Therapy Unit In patients for whom an oxygen saturation of ≥94% could not be achieved with <40% supplemental oxygen (via Venturi), Continuous Positive Airway Pressure (CPAP), (or Bilevel Positive Airway Pressure (BiPAP) in five patients with a history of ventilatory failure) was offered. Positive airways pressure (10– 14 cmH2O) with entrained oxygen flow rates to a maximum of 15 L/min was used. Pressure was limited, to some degree, by patient comfort. Pressure and flow rates were otherwise titrated to achieve oxygen saturation of ≥94%. Patients had breaks in treatment for meals during which time they were supported by high flow oxygen via a face mask. If tolerance precluded continuation of treatment, patients were switched to high flow oxygen via a non-rebreathe circuit to achieve the best possible oxygen saturation. Such de-escalation in treatment did not preclude re-escalation if the patient consented and if oxygenation warranted it. Weaning from CPAP was considered when oxygen saturation during breaks from treatment indicated that supplemental oxygen might be sufficient. Unlike traditional management of acute ventilatory failure with BiPAP, prolonged gradual weaning was not needed. Almost all of our patients with COVID-19 displayed strong respiratory drive, with low or low/normal arterial partial pressure of Carbon Dioxide (PaCO2)on admission Arterial Blood Gas (ABG). Some patients however needed CPAP overnight for a further 24–48 hours after daytime weaning. All patients included tested positive for SARS-CoV-2 infection. Imaging included both chest radiograph (CXR) and CT results and is reported as the most recent imaging prior to commencement of NIPS. Imaging appearances were defined as per the British Society of Thoracic Imaging recommendations (available at: https://www.bsti.org.uk/covid-19-resources/covid-19-bsti-reporting-templates). Caldicott approval was obtained for the establishment of a database of our patients. Data collected included age, gender, clinical frailty score, comorbidities, acute clinical findings and the dichotomous outcome of discharge or death. We retrospectively reviewed our outcome data for all patients who had achieved an outcome between 23 March 2020 and 22 April 2020. Patients were excluded from the analysis if they had been deemed appropriate for escalation to invasive ventilation.

Results

Over the time period, 136 patients were admitted to non-respiratory COVID-19 wards, 44 to the intensive care unit and 47 to respiratory COVID-19 wards. Thirty-two patients admitted to the respiratory COVID-19 wards were treated with NIPS. Of these, four patients (who survived) were excluded from the analysis as they were deemed appropriate for invasive ventilation. Analysis was performed on the remaining 28 patients. Fifteen (54%) were male, median age was 81.5 years (range 54–91) and 21 (75%) were Caucasian. The majority of patients (82.1%) were admitted from their own home. Median (IQR) clinical frailty score was 5 (4–6). Twenty-six patients had CXR only, with two patients additionally undergoing chest CT. Comorbidities, radiology and other physiological parameters are shown in table 1. Twenty-three patients received CPAP, while five patients, with a history of ventilatory failure, received BiPAP. Median duration of treatment with NIPS was 5 days (range 1–14) in patients discharged and 3 days (1–13) in those who died. Fourteen (50%) of patients survived to discharge. Individual patient characteristics and outcome are shown in table 2. In patients who died, 13 of 14 had a documented certificate of medical cause of death. Of these, ‘COIVID-19’ was recorded as the primary cause of death in all of cases.
Table 1

Population demographics and treatment parameters

VariableStudy population
n28
Comorbidities
 Hypertension (%)22 (78.6)
 Ischaemic heart disease (%)10 (35.7)
 Atrial fibrillation (%)8 (28.6)
 Congestive cardiac failure (%)If yes, NYHA class (IQR)7 (25.0)3 (1–3)
 Diabetes mellitus (%)15 (53.6)
 Chronic kidney disease (%)If yes, stage (IQR)15 (53.6)3b (3a–3b)
 COPD (%)5 (17.9)
 Bronchiectasis (%)1 (3.6)
 Asthma (%)6 (21.4)
 Active malignancy (%)3 (10.7)
 Dementia (%)1 (3.6)
 Stroke (%)2 (7.1)
 Previous pulmonary or venous thromboembolism (%)2 (7.1)
Results from the acute admission
 Imaging ‘Classical’ (%)16 (57.1)
 Imaging ‘Indeterminate’ (%)8 (28.6)
 SpO2 prior to NIPS (IQR)89% (85–92.75)
 Acute kidney injury (%)9 (32.1)
 Acutely deranged liver function tests (%)4 (14.3)
 NIPS parameters
 Received CPAP (%)23 (82.1)
 Received BiPAP (%)5 (17.9)
 CPAP max pressure cmH2O (SD)12.7 (2.1)
 BiPAP maximum inspiratory pressure cmH2O (SD)22.4 (6.0)
 BiPAP maximum expiratory pressure cmH2O (SD)10.2 (2.9)
 BiPAP max back up rate (SD)13.2 (1.8)

Data are presented as mean (SD) where parametric, median (IQR) where non-parametric, or absolute number (%) where categorical.

BiPAP, Bi-level Positive Airway Pressure; COPD, Chronic Obstructive Pulmonary Disease; CPAP, Continuous Positive Airway Pressure; NHYA, New York Heart Association; NIPS, non-invasive pressure support; SpO2, Peripheral Oxygen Saturation.

Table 2

Individual patient demographics and outcome

Decade of lifeGenderClinical frailty scoreBiPAP/CPAPDuration of respiratory support (days)Outcome
80sM2BiPAP5Death
80sM5CPAP*5Death
90sM4CPAP0Death
90sF6CPAP3Death
70sM6CPAP1Death
80sF4CPAP13Death
90sM6CPAP*1Death
70sM7CPAP3Death
80sF3CPAP*3Death
70sM5BiPAP*9Death
80sF6CPAP2Death
90sF6CPAP1Death
80sM7CPAP1Death
80sM2CPAP8Death
80sF5CPAP5Discharge
50sF6BiPAP4Discharge
80sF4BiPAP14Discharge
70sM4CPAP3Discharge
60sM5CPAP5Discharge
70sM4CPAP5Discharge
70sM7BiPAP4Discharge
80sF3CPAP8Discharge
90sM5CPAP6Discharge
60sF7CPAP5Discharge
80sM3CPAP7Discharge
70sF4CPAP14Discharge
80sF5CPAP3Discharge
80sF5CPAP5Discharge

*Poorly tolerated respiratory support, trialled but not maintained on optimum setting.

BiPAP, Bi-level Positive Airway Pressure; CPAP, Continuous Positive Airway Pressure.

Population demographics and treatment parameters Data are presented as mean (SD) where parametric, median (IQR) where non-parametric, or absolute number (%) where categorical. BiPAP, Bi-level Positive Airway Pressure; COPD, Chronic Obstructive Pulmonary Disease; CPAP, Continuous Positive Airway Pressure; NHYA, New York Heart Association; NIPS, non-invasive pressure support; SpO2, Peripheral Oxygen Saturation. Individual patient demographics and outcome *Poorly tolerated respiratory support, trialled but not maintained on optimum setting. BiPAP, Bi-level Positive Airway Pressure; CPAP, Continuous Positive Airway Pressure. There were no statistically significant differences found between age, frailty score, admission from home, nor prevalence of any comorbidity between those that survived and did not survive. Additionally, there were no statistically significant differences between SpO2 at point of deterioration, presence of acute kidney injury, presence of acute derangement in liver function tests nor ventilatory pressures. The only statistically significant difference between survivors and non-survivors was the presence of ‘classical’ imaging appearances (Survivors ‘classical’ imaging=35.7% vs non-survivors ‘classical’ imaging=78.6%; χ2 p=0.034).

Discussion

At outset, expectations of survival were not high. Intensive Care National Audit and Research Centre (ICNARC) data on survival in a COVID-19 cohort managed with invasive ventilation who were generally younger (median age 63 years) and less frail (91.3% had CFS<4), with a substantially lower comorbidity burden than our population, indicated a survival rate of only 33%.7 Contemporaneous data from our institution suggests a survival of 50% in patients who were intubated and mechanically ventilated. NIPS is known to offer additional support to gas exchange beyond high flow oxygen. These limited data suggest that NIPS outcomes may compare favourably with those of intubated patients. What is particularly surprising about these data is that, in a population with poor physiological reserve, who were not deemed appropriate for escalation to intensive care, survival rate appears to be better than that reported by ICNARC and at least equivalent to survival in intubated patients within our own institution.7 No conclusion on the relative merits of the two treatments can be drawn on such a small data set; however, NIPS, in particular the manner in which it is delivered, enjoys a significant physiological advantage over invasive ventilation that necessitates sedation. The unconscious ventilated patient is managed either supine or prone. Compared with upright posture, both positions are disadvantageous for ventilation-perfusion (V/Q) matching within the lungs and significantly compromises gas exchange. The upright position in these non-sedated patients on NIPS is optimal for V/Q matching. It uses the effect of gravity on lung perfusion, matching it with the differential effects on ventilation within the lung resulting from diaphragmatic excursion. Better V/Q matching implies better gas exchange.

Conclusion

These data support treatment with NIPS (CPAP or BiPAP) as part of a respiratory escalation strategy in hospitals managing COVID-19 and in accordance with the algorithm shown in figure 1. A larger study is urgently needed to determine if there is an advantage to managing patients on NIPS (in the upright position) over invasive ventilation, which precludes optimal positioning for V/Q matching. At the time of writing, bed occupancy rates are declining in Europe, but further waves of infection are inevitable as social distancing restrictions are relaxed. NIPS clearly has a place in the management of the severely hypoxic patient with COVID-19. It may improve overall survival rates and ease pressure on the more resource intense ICU environment. It should be considered in ongoing resource planning in any healthcare system.
  2 in total

1.  A global clinical measure of fitness and frailty in elderly people.

Authors:  Kenneth Rockwood; Xiaowei Song; Chris MacKnight; Howard Bergman; David B Hogan; Ian McDowell; Arnold Mitnitski
Journal:  CMAJ       Date:  2005-08-30       Impact factor: 8.262

2.  A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version).

Authors:  Ying-Hui Jin; Lin Cai; Zhen-Shun Cheng; Hong Cheng; Tong Deng; Yi-Pin Fan; Cheng Fang; Di Huang; Lu-Qi Huang; Qiao Huang; Yong Han; Bo Hu; Fen Hu; Bing-Hui Li; Yi-Rong Li; Ke Liang; Li-Kai Lin; Li-Sha Luo; Jing Ma; Lin-Lu Ma; Zhi-Yong Peng; Yun-Bao Pan; Zhen-Yu Pan; Xue-Qun Ren; Hui-Min Sun; Ying Wang; Yun-Yun Wang; Hong Weng; Chao-Jie Wei; Dong-Fang Wu; Jian Xia; Yong Xiong; Hai-Bo Xu; Xiao-Mei Yao; Yu-Feng Yuan; Tai-Sheng Ye; Xiao-Chun Zhang; Ying-Wen Zhang; Yin-Gao Zhang; Hua-Min Zhang; Yan Zhao; Ming-Juan Zhao; Hao Zi; Xian-Tao Zeng; Yong-Yan Wang; Xing-Huan Wang
Journal:  Mil Med Res       Date:  2020-02-06
  2 in total
  19 in total

1.  Update of the recommendations of the Sociedade Portuguesa de Cuidados Intensivos and the Infection and Sepsis Group for the approach to COVID-19 in Intensive Care Medicine.

Authors:  João João Mendes; José Artur Paiva; Filipe Gonzalez; Paulo Mergulhão; Filipe Froes; Roberto Roncon; João Gouveia
Journal:  Rev Bras Ter Intensiva       Date:  2022-01-24

2.  Effectiveness of Intermediate Respiratory Care Units as an Alternative to Intensive Care Units during the COVID-19 Pandemic in Catalonia.

Authors:  Marina Galdeano Lozano; Julio César Alfaro Álvarez; Núria Parra Macías; Rosario Salas Campos; Sarah Heili Frades; Josep Maria Montserrat; Antoni Rosell Gratacós; Jorge Abad Capa; Olga Parra Ordaz; Francesc López Seguí
Journal:  Int J Environ Res Public Health       Date:  2022-05-16       Impact factor: 4.614

3.  Conservative management of COVID-19 associated hypoxaemia.

Authors:  Thomas Voshaar; Patrick Stais; Dieter Köhler; Dominic Dellweg
Journal:  ERJ Open Res       Date:  2021-03-15

4.  Non-invasive respiratory support paths in hospitalized patients with COVID-19: proposal of an algorithm.

Authors:  J C Winck; R Scala
Journal:  Pulmonology       Date:  2021-01-20

5.  The Impact of Frailty on COVID-19 Outcomes: A Systematic Review and Meta-analysis of 16 Cohort Studies.

Authors:  Y Yang; K Luo; Y Jiang; Q Yu; X Huang; J Wang; N Liu; P Huang
Journal:  J Nutr Health Aging       Date:  2021       Impact factor: 4.075

6.  COVID-19 Management in a UK NHS Foundation Trust with a High Consequence Infectious Diseases Centre: A Retrospective Analysis.

Authors:  Kenneth F Baker; Aidan T Hanrath; Ina Schim van der Loeff; Su Ann Tee; Richard Capstick; Gabriella Marchitelli; Ang Li; Andrew Barr; Alsafi Eid; Sajeel Ahmed; Dalvir Bajwa; Omer Mohammed; Neil Alderson; Clare Lendrem; Dennis W Lendrem; Lucia Pareja-Cebrian; Andrew Welch; Joanne Field; Brendan A I Payne; Yusri Taha; David A Price; Christopher Gibbins; Matthias L Schmid; Ewan Hunter; Christopher J A Duncan
Journal:  Med Sci (Basel)       Date:  2021-02-04

7.  Evaluation of procalcitonin-guided antimicrobial stewardship in patients admitted to hospital with COVID-19 pneumonia.

Authors:  Maria Calderon; Ang Li; Juan Carlos Bazo-Alvarez; Jonathan Dennis; Kenneth F Baker; Ina Schim van der Loeff; Aidan T Hanrath; Richard Capstick; Brendan A I Payne; Daniel Weiand; Ewan Hunter; Ulrich Schwab
Journal:  JAC Antimicrob Resist       Date:  2021-08-20

Review 8.  Thrombocytopathy and endotheliopathy: crucial contributors to COVID-19 thromboinflammation.

Authors:  Sean X Gu; Tarun Tyagi; Kanika Jain; Vivian W Gu; Seung Hee Lee; Jonathan M Hwa; Jennifer M Kwan; Diane S Krause; Alfred I Lee; Stephanie Halene; Kathleen A Martin; Hyung J Chun; John Hwa
Journal:  Nat Rev Cardiol       Date:  2020-11-19       Impact factor: 32.419

9.  Update Alert 2: Ventilation Techniques and Risk for Transmission of Coronavirus Disease, Including COVID-19.

Authors:  Rebecca Thomas; Tamara Lotfi; Gian Paolo Morgano; Andrea Darzi; Marge Reinap
Journal:  Ann Intern Med       Date:  2020-10-13       Impact factor: 25.391

10.  Is carbonic anhydrase inhibition useful as a complementary therapy of Covid-19 infection?

Authors:  Secil Deniz; Tugba Kevser Uysal; Clemente Capasso; Claudiu T Supuran; Ozen Ozensoy Guler
Journal:  J Enzyme Inhib Med Chem       Date:  2021-12       Impact factor: 5.051

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.