Open Access
Open access
volume 73 issue 1 pages 1-11

Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection

Daniel Munblit 1, 2, 3
Nikita A. Nekliudov 1
P E Bugaeva 1
Oleg Blyuss 1, 4
Ekaterina Listovskaya 1
Aysylu Gamirova 1
Anastasia Shikhaleva 1
Vladimir Belyaev 5
Petr S. Timashev 6, 7, 8
John Anson Warner 2
Evgenii Bezrukov 11
Mikhail E Politov 12
A. Yavorovskiy 12
Ekaterina Bulanova 12
Natalia A Tsareva 13
Sergey N. Avdeev 13
Valentina A Kapustina 14
Yuri I Pigolkin 15
Emmanuelle A Dankwa 16
Mark G Pritchard 18, 19
Victor Fomin 20
ANDREY SVISTUNOV 20
Denis Butnaru 20
Petr Glybochko 20
3
 
Research and Clinical Center for Neuropsychiatry, Moscow, Russia
Publication typeJournal Article
Publication date2020-10-09
scimago Q1
wos Q1
SJR2.992
CiteScore21.0
Impact factor7.3
ISSN10584838, 15376591
PubMed ID:  33035307
Microbiology (medical)
Infectious Diseases
Abstract
Background

The epidemiology, clinical course, and outcomes of COVID-19 patients in the Russian population are unknown. Information on the differences between laboratory-confirmed and clinically-diagnosed COVID-19 in real-life settings is lacking.

Methods

We extracted data from the medical records of adult patients who were consecutively admitted for suspected COVID-19 infection in Moscow, between April 8 and May 28, 2020.

Results

Of the 4261 patients hospitalised for suspected COVID-19, outcomes were available for 3480 patients (median age 56 years (interquartile range 45-66). The commonest comorbidities were hypertension, obesity, chronic cardiac disease and diabetes. Half of the patients (n=1728) had a positive RT-PCR while 1748 were negative on RT-PCR but had clinical symptoms and characteristic CT signs suggestive of COVID-19 infection.No significant differences in frequency of symptoms, laboratory test results and risk factors for in-hospital mortality were found between those exclusively clinically diagnosed or with positive SARS-CoV-2 RT-PCR.In a multivariable logistic regression model the following were associated with in-hospital mortality; older age (per 1 year increase) odds ratio [OR] 1.05 (95% confidence interval (CI) 1.03 - 1.06); male sex (OR 1.71, 1.24 - 2.37); chronic kidney disease (OR 2.99, 1.89 – 4.64); diabetes (OR 2.1, 1.46 - 2.99); chronic cardiac disease (OR 1.78, 1.24 - 2.57) and dementia (OR 2.73, 1.34 – 5.47).

Conclusions

Age, male sex, and chronic comorbidities were risk factors for in-hospital mortality. The combination of clinical features were sufficient to diagnoseCOVID-19 infection indicating that laboratory testing is not critical in real-life clinical practice.

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GOST Copy
Munblit D. et al. Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection // Clinical Infectious Diseases. 2020. Vol. 73. No. 1. pp. 1-11.
GOST all authors (up to 50) Copy
Munblit D., Nekliudov N. A., Bugaeva P. E., Blyuss O., Kislova M., Listovskaya E., Gamirova A., Shikhaleva A., Belyaev V., Timashev P. S., Warner J. A., Comberiati P., Apfelbacher C. J., Bezrukov E., Politov M. E., Yavorovskiy A., Bulanova E., Tsareva N. A., Avdeev S. N., Kapustina V. A., Pigolkin Y. I., Dankwa E. A., Kartsonaki C., Pritchard M. G., Fomin V., SVISTUNOV A., Butnaru D., Glybochko P. Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection // Clinical Infectious Diseases. 2020. Vol. 73. No. 1. pp. 1-11.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1093/cid/ciaa1535
UR - https://doi.org/10.1093/cid/ciaa1535
TI - Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection
T2 - Clinical Infectious Diseases
AU - Munblit, Daniel
AU - Nekliudov, Nikita A.
AU - Bugaeva, P E
AU - Blyuss, Oleg
AU - Kislova, Maria
AU - Listovskaya, Ekaterina
AU - Gamirova, Aysylu
AU - Shikhaleva, Anastasia
AU - Belyaev, Vladimir
AU - Timashev, Petr S.
AU - Warner, John Anson
AU - Comberiati, Pasquale
AU - Apfelbacher, Christian J.
AU - Bezrukov, Evgenii
AU - Politov, Mikhail E
AU - Yavorovskiy, A.
AU - Bulanova, Ekaterina
AU - Tsareva, Natalia A
AU - Avdeev, Sergey N.
AU - Kapustina, Valentina A
AU - Pigolkin, Yuri I
AU - Dankwa, Emmanuelle A
AU - Kartsonaki, Christiana
AU - Pritchard, Mark G
AU - Fomin, Victor
AU - SVISTUNOV, ANDREY
AU - Butnaru, Denis
AU - Glybochko, Petr
PY - 2020
DA - 2020/10/09
PB - Oxford University Press
SP - 1-11
IS - 1
VL - 73
PMID - 33035307
SN - 1058-4838
SN - 1537-6591
ER -
BibTex |
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BibTex (up to 50 authors) Copy
@article{2020_Munblit,
author = {Daniel Munblit and Nikita A. Nekliudov and P E Bugaeva and Oleg Blyuss and Maria Kislova and Ekaterina Listovskaya and Aysylu Gamirova and Anastasia Shikhaleva and Vladimir Belyaev and Petr S. Timashev and John Anson Warner and Pasquale Comberiati and Christian J. Apfelbacher and Evgenii Bezrukov and Mikhail E Politov and A. Yavorovskiy and Ekaterina Bulanova and Natalia A Tsareva and Sergey N. Avdeev and Valentina A Kapustina and Yuri I Pigolkin and Emmanuelle A Dankwa and Christiana Kartsonaki and Mark G Pritchard and Victor Fomin and ANDREY SVISTUNOV and Denis Butnaru and Petr Glybochko},
title = {Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection},
journal = {Clinical Infectious Diseases},
year = {2020},
volume = {73},
publisher = {Oxford University Press},
month = {oct},
url = {https://doi.org/10.1093/cid/ciaa1535},
number = {1},
pages = {1--11},
doi = {10.1093/cid/ciaa1535}
}
MLA
Cite this
MLA Copy
Munblit, Daniel, et al. “Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection.” Clinical Infectious Diseases, vol. 73, no. 1, Oct. 2020, pp. 1-11. https://doi.org/10.1093/cid/ciaa1535.