Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2022 Sep 1;12(1):14906.
doi: 10.1038/s41598-022-18991-2.

SepsEast Registry indicates high mortality associated with COVID-19 caused acute respiratory failure in Central-Eastern European intensive care units

Affiliations
Multicenter Study

SepsEast Registry indicates high mortality associated with COVID-19 caused acute respiratory failure in Central-Eastern European intensive care units

Jan Benes et al. Sci Rep. .

Abstract

The coronavirus disease (COVID-19) pandemic caused unprecedented research activity all around the world but publications from Central-Eastern European countries remain scarce. Therefore, our aim was to characterise the features of the pandemic in the intensive care units (ICUs) among members of the SepsEast (Central-Eastern European Sepsis Forum) initiative. We conducted a retrospective, international, multicentre study between March 2020 and February 2021. All adult patients admitted to the ICU with pneumonia caused by COVID-19 were enrolled. Data on baseline and treatment characteristics, organ support and mortality were collected. Eleven centres from six countries provided data from 2139 patients. Patient characteristics were: median 68, [IQR 60-75] years of age; males: 67%; body mass index: 30.1 [27.0-34.7]; and 88% comorbidities. Overall mortality was 55%, which increased from 2020 to 2021 (p = 0.004). The major causes of death were respiratory (37%), cardiovascular (26%) and sepsis with multiorgan failure (21%). 1061 patients received invasive mechanical ventilation (mortality: 66%) without extracorporeal membrane oxygenation (n = 54). The rest of the patients received non-invasive ventilation (n = 129), high flow nasal oxygen (n = 317), conventional oxygen therapy (n = 122), as the highest level of ventilatory support, with mortality of 50%, 39% and 22%, respectively. This is the largest COVID-19 dataset from Central-Eastern European ICUs to date. The high mortality observed especially in those receiving invasive mechanical ventilation renders the need of establishing national-international ICU registries and audits in the region that could provide high quality, transparent data, not only during the pandemic, but also on a regular basis.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Hospital mortality in selected subgroups as compared to the overall cohort. Mortality is expressed in percentages and depicted as squares. Corresponding 95% confidence intervals (95% CI) are given in parentheses and shown as error bars. Dashed and dotted vertical lines represent mortality and boundaries of 95% CI in the overall cohort, respectively.
Figure 2
Figure 2
Distribution of survivors and non-survivors, and mortality during the study period. Absolute numbers of surviving (yellow) and non-surviving (grey) patients (right sided Y-axis) based on the inclusion study week (X-axis) are shown. Orange line represents mortality calculated per study week (left sided Y-axis). Arrows depict the limits of 1st and 2nd wave of COVID-19 pandemic.
Figure 3
Figure 3
Major cause of death. Pie plot with overall distribution (A) and time-based evolution during the study (B; X-axis—study inclusion week, Y-axis—absolute number of patients) is presented for the following causes of death: sepsis and multi-organ failure (SEP, blue), cardiovascular failure (CV, orange), cardio-respiratory failure (CRF, grey), respiratory failure (RESP, yellow), neurological cause (NEU, dark blue).
Figure 4
Figure 4
Disease specific treatment modalities. Each treatment modality is displayed as a pie plot for overall distribution and time-based evolution during the study (X-axis—study inclusion week, Y-axis—absolute number of patients). Respiratory support (A): high-flow nasal oxygen (HFNO, light green); non-invasive ventilation (NON-INV, dark green); invasive mechanical ventilation (INV-VENT, light blue); extracorporeal oxygenation (ECMO, dark blue). Anticoagulation and anti-aggregants (B): no anti-thrombotics (NO; grey); prophylactic low-molecular weight heparin (PROF, light orange); prophylactic low-molecular weight heparin + anti-aggregants (PROF + AG, dark orange); therapeutic low-molecular weight heparin (TH, very light blue); therapeutic low-molecular weight heparin + anti-aggregants (TH + AG, light blue); heparin anticoagulation (HEP, dark blue); heparin anticoagulation + anti-aggregants (HEP + AG—very dark blue). Antivirals (C): no antivirals (NO, grey); remdesivir (REM, dark blue); favirapivir (FAVI, red); lopinavir-ritornavir combination (LOP/RIT, yellow) and their potential combinations. Corticosteroids (D): without steroids (NO, grey); standard dose of dexamethasone 6-8 mg/day equivalents (STD, light green); any higher dose (HIGH, dark green).
Figure 5
Figure 5
Factors subjectively associated with unfavourable outcome. Results of the survey among participating centres are presented for each factor as weighted average of the following rating: not important (1), slightly important (2), important (3), fairly important (4), very important (5).

References

    1. Remuzzi A, Remuzzi G. COVID-19 and Italy: What next? Lancet. 2020;395:1225–1228. doi: 10.1016/S0140-6736(20)30627-9. - DOI - PMC - PubMed
    1. World Health Organization (2021) COVID-19 Weekly Epidemiological Update. https://www.who.int/publications/m/item/weekly-epidemiological-update-on.... (Supplementary Table 3, S1). Accessed 27 April 2021.
    1. Intensive Care National Audit and Research Centre (ICNARC) (2022) Case Mix Programme database reports. https://www.icnarc.org/Our-Audit/Audits/Cmp/Reports (Supplementary Table 3, S2, S5). Accessed 31 Jan 2022.
    1. Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, Cereda D, Coluccello A, Foti G, Fumagalli R, Iotti G, Latronico N, Lorini L, Merler S, Natalini G, Piatti A, Ranieri MV, Scandroglio AM, Storti E, Cecconi M, Pesenti A, COVID-Lombardy ICU Network Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy Region, Italy. JAMA. 2020;323:1574–1581. doi: 10.1001/jama.2020.5394. - DOI - PMC - PubMed
    1. Zanella A, Florio G, Antonelli M, Bellani G, Berselli A, Bove T, Cabrini L, Carlesso E, Castelli GP, Cecconi M, Citerio G, Coloretti I, Corti D, Dalla Corte F, De Robertis E, Foti G, Fumagalli R, Girardis M, Giudici R, Guiotto L, Langer T, Mirabella L, Pasero D, Protti A, Ranieri MV, Rona R, Scudeller L, Severgnini P, Spadaro S, Stocchetti N, Vigano M, Pesenti A, Grasselli G, COVID-Italian ICU Network Time course of risk factors associated with mortality of 1260 critically ill patients with COVID-19 admitted to 24 Italian intensive care units. Intensive Care Med. 2021;47:995–1008. - PMC - PubMed

Publication types