Literature DB >> 33196858

Discriminating between CPAP success and failure in COVID-19 patients with severe respiratory failure.

Pietro Arina1,2, Beatrice Baso1,2, Valeria Moro1,2, Hemani Patel1, Gareth Ambler3,4.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 33196858      PMCID: PMC7668008          DOI: 10.1007/s00134-020-06304-y

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   41.787


× No keyword cloud information.
Dear Editor, Continuous positive airways pressure (CPAP) treatment was used increasingly in the UK and elsewhere for coronavirus disease 2019 (COVID-19) to avoid the need for mechanical ventilation [1-3]. Early identification of patients benefitting from CPAP would assist decision making however we found that intensive care unit (ICU) admission respiratory parameters (rate, PaO2/FiO2 ratio) were poorly discriminatory. Using electronic healthcare records we retrospectively studied COVID-19 patients admitted to the University College London Hospital ICU between 8 March and 5 June 2020 in moderate-to-severe respiratory failure who received initial management with CPAP to see whether better prognosticators could be identified. Comparison of demographic, clinical and biochemical parameters measured on ICU admission was made between patients adjudged CPAP success (hospital survival with CPAP alone) or failure (either death where CPAP was a ceiling of treatment, or need for mechanical ventilation regardless of hospital outcome). Requirement for other organ support was also compared. Patients managed on CPAP in non-ICU wards were excluded as detailed clinical and lab data were often lacking. Of 108 within-hospital admissions, 93 (86%) received CPAP as initial respiratory failure management (median[IQR] PaO2/FiO2 ratio 13 [10-18] kPa) (Supplementary Fig. 1). Thirty-two (34%) were adjudged CPAP successes and 61 (66%) failures (14 deaths (23%) with CPAP as the ceiling of treatment, 47 (77%) requiring invasive ventilation of whom 26 died). Demographics and ICU admission values of respiratory rate, inspired oxygen concentration (FiO2) and PaO2/FiO2 ratio were similar between groups (Supplementary data). Admission values of C-reactive protein (CRP) (p < 0.0001), N Terminal-pro-B-type natriuretic peptide (NT-proBNP) (p < 0.001), troponin-T (p < 0.001) and d-dimers (p < 0.05) were significantly higher in CPAP failure patients (Fig. 1). Other organ support was only required for CPAP failure patients receiving invasive ventilation (46 vasopressors, 28 renal replacement therapy), but none for CPAP successes. At 6 h post-CPAP the PaO2/FiO2 ratio rose by 76.7% (37.9 to 99.8%) in CPAP success patients but only by 38.1% (−24.4 to 100.5) in the failure group (p = 0.015).
Fig. 1

Biomarkers and variables recorded on ICU admission in patients receiving CPAP. Shaded area denotes normal range. The normal range for C-Reactive Protein (≤ 5 mg/L) is not indicated, FiO fraction of inspired oxygen concentration; PaO/FiO ratio of arterial partial pressure to the fraction of inspired oxygen concentration. Shaded area denotes normal range except for PaO2/FiO2 where the increasing shades of grey denotes mild, moderate and severe respiratory failure according to the Berlin definition, NT-proBNP N terminal-pro B-type natriuretic peptide

Biomarkers and variables recorded on ICU admission in patients receiving CPAP. Shaded area denotes normal range. The normal range for C-Reactive Protein (≤ 5 mg/L) is not indicated, FiO fraction of inspired oxygen concentration; PaO/FiO ratio of arterial partial pressure to the fraction of inspired oxygen concentration. Shaded area denotes normal range except for PaO2/FiO2 where the increasing shades of grey denotes mild, moderate and severe respiratory failure according to the Berlin definition, NT-proBNP N terminal-pro B-type natriuretic peptide For outcome prediction (CPAP failure), sixteen potential predictor physiological or biochemical variables were assessed. Details are provided in the Supplementary Index. In brief, separate univariable logistic regression models were fitted for each predictor, with p values < 0.05 determining variables entered into a multivariable logistic regression model. A model combining elevated CRP and NT-proBNP predicted CPAP failure with a sensitivity of 0.75 (95% CI 0.62–0.86), specificity of 0.83 (0.61–0.95), positive predictive value of 0.91 (0.78–0.97) and negative predictive value of 0.59 (0.41–0.76). Failure of CPAP to avert death or invasive mechanical ventilation was associated with increased blood levels of thrombo-inflammatory and cardiac injury/dysfunction biomarkers on ICU admission. This may reflect an increased incidence of pulmonary thrombi either identifiable on imaging or multiple microthrombi, with subsequent right heart strain. The much-increased requirement for vasopressor and renal support in invasively ventilated patients reflects disease severity, but a significant iatrogenic contribution from high airway pressures, heavy sedation and hypovolaemia cannot be excluded. The high positive predictive value using elevated CRP and NT-proBNP may identify patients likely to fail CPAP. If validated, this could be gainfully used in management pathways and to stratify patients for intervention studies. Below is the link to the electronic supplementary material. Supplementary material 1 (DOCX 32 kb) Supplementary material 2 (PPTX 1312 kb) Supplementary material 3 (PDF 656 kb)
  3 in total

1.  Trends in Intensive Care for Patients with COVID-19 in England, Wales, and Northern Ireland.

Authors:  James C Doidge; Doug W Gould; Paloma Ferrando-Vivas; Paul R Mouncey; Karen Thomas; Manu Shankar-Hari; David A Harrison; Kathryn M Rowan
Journal:  Am J Respir Crit Care Med       Date:  2021-03-01       Impact factor: 21.405

2.  Helmet CPAP to Treat Acute Hypoxemic Respiratory Failure in Patients with COVID-19: A Management Strategy Proposal.

Authors:  Dejan Radovanovic; Maurizio Rizzi; Stefano Pini; Marina Saad; Davide Alberto Chiumello; Pierachille Santus
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.241

3.  Lower mortality of COVID-19 by early recognition and intervention: experience from Jiangsu Province.

Authors:  Qin Sun; Haibo Qiu; Mao Huang; Yi Yang
Journal:  Ann Intensive Care       Date:  2020-03-18       Impact factor: 6.925

  3 in total
  5 in total

1.  A Tale of Two Waves: Changes in the Use of Noninvasive Ventilation and Prone Positioning in Critical Care Management of Coronavirus Disease 2019.

Authors:  Alexander J Parker; Monalisa Mishra; Pooja Tiwary; Mike Sharman; Manu Priya-Sharma; Alastair Duncan; Mohan Shanmugam; Kailash Bhatia; Catherine Fullwood; Andrew D Martin; Anthony Wilson
Journal:  Crit Care Explor       Date:  2021-12-03

2.  External validation of a prediction model for CPAP failure in COVID-19 patients with severe pneumonitis.

Authors:  Victoria Stokes; Kwee Yen Goh; Graham Whiting; Sebastian Bates; Hannah Greenlee; Anthony Wilson; Alexander J Parker
Journal:  Crit Care       Date:  2022-09-27       Impact factor: 19.334

Review 3.  Noninvasive respiratory support for acute respiratory failure due to COVID-19.

Authors:  Luca S Menga; Cecilia Berardi; Ersilia Ruggiero; Domenico Luca Grieco; Massimo Antonelli
Journal:  Curr Opin Crit Care       Date:  2022-02-01       Impact factor: 3.687

4.  SIMEU position paper on non-invasive respiratory support in COVID-19 pneumonia.

Authors:  Roberto Cosentini; Paolo Groff; Anna Maria Brambilla; Rodolfo Ferrari; Renzo Camajori Todeschini; Gianfilippo Gangitano; Stella Ingrassia; Roberta Marino; Francesca Nori; Fiammetta Pagnozzi; Francesco Panero
Journal:  Intern Emerg Med       Date:  2022-02-01       Impact factor: 5.472

5.  "L'histoire se répète", one size does not fit all. Author's reply.

Authors:  Timothy Arthur Chandos Snow; Naveed Saleem; Mervyn Singer; Nishkantha Arulkumaran
Journal:  Intensive Care Med       Date:  2021-08-06       Impact factor: 17.440

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.