Literature DB >> 35729619

Validation of survival prediction models for ECMO in Sars-CoV-2-related acute respiratory distress syndrome.

Quentin Moyon1, Marc Pineton de Chambrun1,2, Guillaume Lebreton2,3, Hédi Chaieb4, Alain Combes1,2,5, Matthieu Schmidt6,7,8,9.   

Abstract

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Year:  2022        PMID: 35729619      PMCID: PMC9210051          DOI: 10.1186/s13054-022-04039-4

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   19.334


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To the editor Predictive survival scores have been proposed for patient candidates for ECMO in the context of non-COVID-19 ARDS [1-3]. Indeed, better survival prediction in these patients may improve resource utilization, allow risk-adjusted comparison of centre-specific outcomes, and help clinicians target patients most likely to benefit from ECMO. It could be of utmost importance in the context of a pandemic with a shortage of resources and ICU beds and evolving mortality of the most severe forms with unclear long-term outcomes. However, the performance of these scores in patients with COVID-19 is currently unknown. Based on an ancillary analysis of patients proposed for ECMO consideration at the ECMO–COVID-19 hub in Paris between March 8, 2020, and June 3, 2020 [1], we aimed to validate and compare the performance of the main predictive survival models in that population of COVID-19 patients considered for ECMO. This study followed TRIPOD recommendations for Prediction Model Development. Ninety-day survival status was prospectively collected for all patients of whom an ECMO was discussed. Briefly, contraindications for ECMO were age > 70 years (case-by-case discussion for those aged between 65 and 70 years), serious comorbidities (including immunosuppression and chronic lung diseases), multiple organ failure, and ongoing mechanical ventilation for > 10 days. Detailed indications and contraindications for ECMO during this period have been listed elsewhere [1]. We computed the Respiratory ECMO Survival Prediction score (RESP) [2], PRedicting dEath for SEvere ARDS on VV-ECMO (PRESERVE) [3], Roch [4], and Sequential Organ Failure Assessment (SOFA) scores (ranging from 3 to 12 pre-ECMO items) in each patient at the time of ECMO consideration. Because the peak pressure was not systematically collected, the plateau pressure was used instead in the RESP score. The discriminative abilities of each score to predict 90-day survival was assessed by the area under the receiver-operating characteristics curves (AUC) and compared to each other using the De Long test. To test whether the observed 90-day survival matched expected mortality in our population, we used the Hosmer–Lemeshow test. Similarly, calibration was tested by the Brier score. The lower the Brier score the more calibrated the prediction. Among the 575 cases submitted to the ECMO-COVID-19 hub, 302 (56%) patients met eligibility criteria and received ECMO (Fig. 1). The remaining patients were denied ECMO either because of contraindications or because the criteria for ECMO were not met yet. Patients’ characteristics and items of the RESP, PRESERVE, and Roch Scores according to ECMO decision are reported in Table 1. Overall 90-day mortality was 62.6%, whereas it was 54.3% and 73.3% in patients who received ECMO and those denied ECMO (i.e.ECMO contraindications or ECMO criteria not met), respectively.
Fig. 1

Study flow chart. ECMO extracorporeal membrane oxygenation, MV mechanical ventilation, PEEP positive end-expiratory pressure

Table 1

Patients’ characteristics and items of the RESP, PRESERVE, and Roch Scores according to ECMO decision

Overall, N = 535aECMO decision, N = 302aNon ECMO decision, N = 233ap valueb
Age (years)55 (47–61)52 (44–58)59 (51–64) < 0.001
 18–49171 (32)123 (41)48 (21)
 50–59208 (39)134 (44)74 (32)
 ≥ 60156 (29)45 (15)111 (48)
Immunocompromised status42 (8)18 (6)24 (10)0.064
Body mass index > 30 kg/m2260 (50)143 (48)117 (52)0.38
Viral pneumonia535 (100)302 (100)233 (100)
Central nervous system dysfunction0 (0)0 (0)0 (0)
Acute associated (non pulmonary) infection0 (0)0 (0)0 (0)
Cardiac arrest before ECMO5 (1)1 (0.3)4 (2)0.17
Mechanical ventilation before decision < 0.001
 < 48 h6 (1)2 (1)4 (2)
 48 h–7 days332 (65)229 (80)103 (46)
 > 7 days172 (34)56 (20)116 (52)
Plateau pressure before decision > 30 cmH2O198 (41)111 (44)87 (38)0.20
PEEP before decision < 10 cmH2O80 (16)43 (16)37 (16)0.84
Prone positioning before decision498 (95)284 (94)214 (96)0.22
Neuro-muscular blockade agents before decision512 (96)291 (96)221 (95)0.39
Bicarbonate infusion before decision0 (0)0 (0)0 (0)
PaCO2 > 75 mmHg62 (12)35 (12)27 (12)0.88
RESP score2 (1–4)3 (2–5)2 (1–3) < 0.001
Preserve score3 (1–4)2 (0–4)3 (1–4)0.029
Roch score3 (2–4)3 (3–4)3 (2–4)0.89
SOFA score12 (9–14)12 (9–14)12 (9–14)0.31
  > 12215 (40)120 (40)95 (41)0.81

ECMO extracorporeal membrane oxygenation, RESP Respiratory ECMO Survival Prediction score, PRESERVE PRedicting dEath for SEvere ARDS on VV-ECMO, PEEP positive end-expiratory pressure, SOFA Sequential Organ Failure

an (%); Median (IQR)

bPearson's Chi-squared test; Fisher's exact test; Wilcoxon rank sum test

Study flow chart. ECMO extracorporeal membrane oxygenation, MV mechanical ventilation, PEEP positive end-expiratory pressure Patients’ characteristics and items of the RESP, PRESERVE, and Roch Scores according to ECMO decision ECMO extracorporeal membrane oxygenation, RESP Respiratory ECMO Survival Prediction score, PRESERVE PRedicting dEath for SEvere ARDS on VV-ECMO, PEEP positive end-expiratory pressure, SOFA Sequential Organ Failure an (%); Median (IQR) bPearson's Chi-squared test; Fisher's exact test; Wilcoxon rank sum test External validation of the RESP-score in this COVID-19 population demonstrated reasonable discrimination (c = 0.74 [95% CI 0.70–0.78]) and good calibration with a Hosmer–Lemeshow C-statistic of 1.56 (p = 0.99) in contrast to poorer discrimination of the PRESERVE (c = 0.64 [95% CI 0.60–0.70]; p < 0.001), Roch (c = 0.64 [95% CI 0.60–0.69]; p < 0.001), and SOFA scores (c = 0.65 [95% CI 0.60–0.69]; p = 0.003). Lastly, ninety-day survival was much lower in risk class III and IV (i.e.RESP score ≤  − 2) than in risk class I, II (i.e.RESP score ≥  − 1) (p < 0.001) (Fig. 2).
Fig. 2

Comparison of A) the receiver-operating curves, B) Hosmer–Lemeshow C-statistic, and Brier score of the RESP, PRESERVE, Roch, et SOFA scores and C) Kaplan–Meier estimates of cumulative probabilities of survival according to the RESP class in a COVID-19 population candidate for ECMO (n = 535). ECMO extracorporeal membrane oxygenation, RESP Respiratory ECMO Survival Prediction score, PRESERVE PRedicting dEath for SEvere ARDS on VV-ECMO, SOFA Sequential Organ Failure Assessment

Comparison of A) the receiver-operating curves, B) Hosmer–Lemeshow C-statistic, and Brier score of the RESP, PRESERVE, Roch, et SOFA scores and C) Kaplan–Meier estimates of cumulative probabilities of survival according to the RESP class in a COVID-19 population candidate for ECMO (n = 535). ECMO extracorporeal membrane oxygenation, RESP Respiratory ECMO Survival Prediction score, PRESERVE PRedicting dEath for SEvere ARDS on VV-ECMO, SOFA Sequential Organ Failure Assessment To our knowledge, this is the first validation of predictive survival models in a population of patients with severe COVID-19-related ARDS proposed for VV-ECMO. The RESP score exhibited acceptable discrimination and a good calibration which was consistently better than the PRESERVE, Roch, and SOFA scores. Predicting outcomes of COVID patients on ECMO is challenging, as evolving mortality has been reported over the pandemic with changes in the management of the pre-ECMO period and new variants. We confirm the poor discriminant accuracy of the SOFA score to predict mortality of patients with COVID-19, even when combined with age as in the Roch score. The RESP score may offer an additional tool to help clinicians select appropriate COVID-19 candidates for ECMO and improve resource utilization, but it should not be used as a substitute for clinicians’ judgment. Our study has limitations, the PRESERVE score was initially built to predict 6-month survival [3] and the Roch score was created for patients with influenza-related ARDS [4]. We considered all these cases as “viral pneumonia” in the calculation of the scores although it is likely that some bacterial pulmonary superinfection could have precipitated the need for ECMO. We do not think that it would have changed our results as the distinction between bacterial and viral pneumonia is proposed only in the RESP score and both pneumonia etiologies are finally weighted similarly in that score [2]. Further studies are now warranted to reassess the performance of the RESP score as the pandemic evolves and the expected mortality of patients treated with ECMO is higher. Further adaptation of the RESP score to this specific population could be needed.
  4 in total

1.  Predicting survival after extracorporeal membrane oxygenation for severe acute respiratory failure. The Respiratory Extracorporeal Membrane Oxygenation Survival Prediction (RESP) score.

Authors:  Matthieu Schmidt; Michael Bailey; Jayne Sheldrake; Carol Hodgson; Cecile Aubron; Peter T Rycus; Carlos Scheinkestel; D Jamie Cooper; Daniel Brodie; Vincent Pellegrino; Alain Combes; David Pilcher
Journal:  Am J Respir Crit Care Med       Date:  2014-06-01       Impact factor: 21.405

2.  Outcome of acute respiratory distress syndrome patients treated with extracorporeal membrane oxygenation and brought to a referral center.

Authors:  Antoine Roch; Sami Hraiech; Elodie Masson; Dominique Grisoli; Jean-Marie Forel; Mohamed Boucekine; Pierre Morera; Christophe Guervilly; Mélanie Adda; Stéphanie Dizier; Richard Toesca; Fréderic Collart; Laurent Papazian
Journal:  Intensive Care Med       Date:  2013-10-30       Impact factor: 17.440

3.  The PRESERVE mortality risk score and analysis of long-term outcomes after extracorporeal membrane oxygenation for severe acute respiratory distress syndrome.

Authors:  Matthieu Schmidt; Elie Zogheib; Hadrien Rozé; Xavier Repesse; Guillaume Lebreton; Charles-Edouard Luyt; Jean-Louis Trouillet; Nicolas Bréchot; Ania Nieszkowska; Hervé Dupont; Alexandre Ouattara; Pascal Leprince; Jean Chastre; Alain Combes
Journal:  Intensive Care Med       Date:  2013-08-02       Impact factor: 17.440

4.  Extracorporeal membrane oxygenation network organisation and clinical outcomes during the COVID-19 pandemic in Greater Paris, France: a multicentre cohort study.

Authors:  Guillaume Lebreton; Matthieu Schmidt; Maharajah Ponnaiah; Thierry Folliguet; Marylou Para; Julien Guihaire; Emmanuel Lansac; Edouard Sage; Bernard Cholley; Bruno Mégarbane; Pierrick Cronier; Jonathan Zarka; Daniel Da Silva; Sebastien Besset; Igor Lacombat; Nicolas Mongardon; Christian Richard; Jacques Duranteau; Charles Cerf; Gabriel Saiydoun; Romain Sonneville; Jean-Daniel Chiche; Patrick Nataf; Dan Longrois; Alain Combes; Pascal Leprince
Journal:  Lancet Respir Med       Date:  2021-04-19       Impact factor: 30.700

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