Acute Right Ventricular Dysfunction in a Critically Ill Patient with COVID-19
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ABSTRACT:
SUBMITTER: Venkata C
PROVIDER: S-EPMC7521904 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
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2022-02-28 | GSE197259 | GEO
Project description:ObjectiveTo compare two-dimensional-speckle tracking echocardiographic parameters (2D-STE) and classic echocardiographic parameters of right ventricular (RV) systolic function in patients with coronavirus disease 2019 (COVID-19)-related acute respiratory distress syndrome (CARDS) complicated or not by acute cor pulmonale (ACP).DesignProspective, between March 1, 2020 and April 15, 2020.SettingIntensive care unit of Amiens University Hospital (France).ParticipantsAdult patients with moderate-to-severe CARDS under mechanical ventilation for fewer than 24 hours.InterventionsNone.Measurements and main resultsTricuspid annular displacement (TAD) parameters (TAD-septal, TAD-lateral, and RV longitudinal shortening fraction [RV-LSF]), RV global longitudinal strain (RV-GLS), and RV free wall longitudinal strain (RVFWLS) were measured using transesophageal echocardiography with a dedicated software and compared with classic RV systolic parameters (RV-FAC, S' wave, and tricuspid annular plane systolic excursion [TAPSE]). RV systolic dysfunction was defined as RV-FAC <35%. Twenty-nine consecutive patients with moderate-to-severe CARDS were included. ACP was diagnosed in 12 patients (41%). 2D-STE parameters were markedly altered in the ACP group, and no significant difference was found between patients with and without ACP for classic RV parameters (RV-FAC, S' wave, and TAPSE). In the ACP group, RV-LSF (17% [14%-22%]) had the best correlation with RV-FAC (r = 0.79, p < 0.001 v r = 0.27, p = 0.39 for RVGLS and r = 0.28, p = 0.39 for RVFWLS). A RV-LSF cut-off value of 17% had a sensitivity of 80% and a specificity of 86% to identify RV systolic dysfunction.ConclusionsClassic RV function parameters were not altered by ACP in patients with CARDS, contrary to 2D-STE parameters. RV-LSF seems to be a valuable parameter to detect early RV systolic dysfunction in CARDS patients with ACP.
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Project description:ObjectivesTo report the use of common femoral vein Doppler interrogation as a simple technique to diagnose right ventricular dysfunction.DesignCase report.SettingCardiac surgical ICU.PatientsPostoperative cardiac surgical patients.InterventionsCommon femoral pulsed-wave and color Doppler examination associated with hepatic, portal, and renal venous Doppler measurement were obtained in both patients and before and after treatment in patient number 1. In addition, right ventricular pressure waveform examination was obtained in patient number 2.Measurements and main resultsThe technique to obtain common femoral venous Doppler is described. Two cases of patients presenting with right ventricular dysfunction and fluid overload with portal and renal venous congestion in the perioperative period undergoing complex multivalvular cardiac surgery are presented. Hemodynamic waveform monitoring was performed alongside echocardiographic, hepatic, and renal venous flow Doppler assessment, and spectral Doppler profiles of the common femoral veins were examined. Those findings were useful in confirming our diagnosis and guiding our response to treatment. An algorithm was developed and tested on two additional hemodynamically unstable patients.ConclusionsDoppler examination of the common femoral vein is a simple, fast, and noninvasive technique that could be useful to rule in the presence of right ventricular dysfunction with venous congestion and help guide the management of such patients.
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Project description:Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. A transcriptomic signature was used to identify these clusters in an external validation cohort, yielding a similar result. These results illustrate the potential of transcriptomic profiles to identify patient endotypes and point to relevant pathogenetic mechanisms in COVID-19.
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