Literature DB >> 34705080

Role of total lung stress on the progression of early COVID-19 pneumonia: collinearity and potential confounders.

Benjamin Neetz1, Jan Meis2, Felix J F Herth1, Franziska C Trudzinski3.   

Abstract

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Year:  2021        PMID: 34705080      PMCID: PMC8549429          DOI: 10.1007/s00134-021-06557-1

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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We read with great interest the article by Coppola and colleagues on the potential role of total lung stress in the disease progression of coronavirus disease 2019 (COVID-19)-related pneumonia [1]. We thank the authors for their work and appreciate the time and effort involved in performing all measurements including the assessment of the esophageal pressure swing (ΔPeso) in COVID-19 patients on non-invasive respiratory support. However, we have some comments on the statistical methods, calculation of total lung stress, and potential confounders. The authors studied the effects of total lung stress in early COVID-19 pneumonia. The associations of various variables recorded at day 1 with patient outcome were evaluated based on univariate p values. Variables with p values < 0.05 were included in a multivariable regression model. This practice, though widespread in clinical publications, is highly susceptible to bias and not very sensitive to confounding effects, particularly in small sample size studies [2]. Three variables were selected by this method: total lung stress, ΔPeso and FiO2/PaO2 ratio. The authors claim that only total lung stress was independently associated with outcome. Since ΔPeso is part of the formula for total lung stress, there is reason to believe that these variables are highly correlated. As collinearity is problematic in (generalized) linear models, we think that the study could benefit from additional sensitivity analyses presenting the results of a logistic model considering the FiO2/PaO2 ratio and only one of the other two variables. In addition, the calculation of the total lung stress is subject to several assumptions that call into question the close relationship to the study outcome. The total lung stress, i.e. the maximum tension in the lung parenchyma counteracting forces applied through tidal breathing, is clinically defined as endinspiratory transalveolar pressure (Pel(L)). Pel(L) is the transpulmonary pressure in the absence of airflow (i.e. under static conditions). The total lung stress computed by Coppola et al. includes a dynamic component (i.e. ). This leads to an overestimation of the Pel(L) [3]. Seven patients with negative outcome had “abdominal respiratory mechanics”. Recruitment of the expiratory muscles rises end-expiratory esophageal pressure. This elevates the measured ΔPeso which in turn could make the computed lung stress appear higher than it actually was. The authors considered positive end-expiratory pressure (PEEP) to be mandatory included into the total lung stress formula. But a recent study showed a significant reduction in intubation rate with higher PEEP (continuous positive airway pressure) compared to low PEEP (nasal high flow) suggesting a rather protective effect of PEEP induced lung stress [4]. In our opinion, these points underline the importance of searching for unmeasured confounding. It seems conceivable that disease severity correlates with increased pulmonary vascular thrombosis and correspondingly increased physiological dead space [5]. This would increase the ventilatory equivalent for CO2 and be associated with an increased ΔPeso. It would, therefore, interesting to include d-dimers as surrogate parameter as well as other established confounders such as age, obesity or cardiovascular diseases in the analysis, though the potential for overly exhaustive exploratory analysis is limited by the given sample size.
  5 in total

1.  Understanding spontaneous vs. ventilator breaths: impact and monitoring.

Authors:  Takeshi Yoshida; Marcelo B P Amato; Brian P Kavanagh
Journal:  Intensive Care Med       Date:  2018-03-24       Impact factor: 17.440

2.  Global disparities in SARS-CoV-2 genomic surveillance.

Authors:  Anderson F Brito; Elizaveta Semenova; Gytis Dudas; Gabriel W Hassler; Chaney C Kalinich; Moritz U G Kraemer; Joses Ho; Houriiyah Tegally; George Githinji; Charles N Agoti; Lucy E Matkin; Charles Whittaker; Benjamin P Howden; Vitali Sintchenko; Neta S Zuckerman; Orna Mor; Heather M Blankenship; Tulio de Oliveira; Raymond T P Lin; Marilda Mendonça Siqueira; Paola Cristina Resende; Ana Tereza R Vasconcelos; Fernando R Spilki; Renato Santana Aguiar; Ivailo Alexiev; Ivan N Ivanov; Ivva Philipova; Christine V F Carrington; Nikita S D Sahadeo; Céline Gurry; Sebastian Maurer-Stroh; Dhamari Naidoo; Karin J von Eije; Mark D Perkins; Maria van Kerkhove; Sarah C Hill; Ester C Sabino; Oliver G Pybus; Christopher Dye; Samir Bhatt; Seth Flaxman; Marc A Suchard; Nathan D Grubaugh; Guy Baele; Nuno R Faria
Journal:  medRxiv       Date:  2021-12-09

3.  Individualised versus conventional glucose control in critically-ill patients: the CONTROLING study-a randomized clinical trial.

Authors:  Julien Bohé; Hassane Abidi; Vincent Brunot; Amna Klich; Kada Klouche; Nicholas Sedillot; Xavier Tchenio; Jean-Pierre Quenot; Jean-Baptiste Roudaut; Nicolas Mottard; Fabrice Thiollière; Jean Dellamonica; Florent Wallet; Bertrand Souweine; Alexandre Lautrette; Jean-Charles Preiser; Jean-François Timsit; Charles-Hervé Vacheron; Ali Ait Hssain; Delphine Maucort-Boulch
Journal:  Intensive Care Med       Date:  2021-09-29       Impact factor: 17.440

4.  Pathophysiology of COVID-19-associated acute respiratory distress syndrome: a multicentre prospective observational study.

Authors:  Giacomo Grasselli; Tommaso Tonetti; Alessandro Protti; Thomas Langer; Massimo Girardis; Giacomo Bellani; John Laffey; Gianpaolo Carrafiello; Luca Carsana; Chiara Rizzuto; Alberto Zanella; Vittorio Scaravilli; Giacinto Pizzilli; Domenico Luca Grieco; Letizia Di Meglio; Gennaro de Pascale; Ezio Lanza; Francesco Monteduro; Maurizio Zompatori; Claudia Filippini; Franco Locatelli; Maurizio Cecconi; Roberto Fumagalli; Stefano Nava; Jean-Louis Vincent; Massimo Antonelli; Arthur S Slutsky; Antonio Pesenti; V Marco Ranieri
Journal:  Lancet Respir Med       Date:  2020-08-27       Impact factor: 30.700

5.  Role of total lung stress on the progression of early COVID-19 pneumonia.

Authors:  Silvia Coppola; Davide Chiumello; Mattia Busana; Emanuele Giola; Paola Palermo; Tommaso Pozzi; Irene Steinberg; Stefano Roli; Federica Romitti; Stefano Lazzari; Simone Gattarello; Michela Palumbo; Peter Herrmann; Leif Saager; Michael Quintel; Konrad Meissner; Luigi Camporota; John J Marini; Stefano Centanni; Luciano Gattinoni
Journal:  Intensive Care Med       Date:  2021-09-16       Impact factor: 17.440

  5 in total

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