StopCOVID cohort: An observational study of 3,480 patients admitted to the Sechenov University hospital network in Moscow city for suspected COVID-19 infection

Author:

Munblit Daniel123ORCID,Nekliudov Nikita A1,Bugaeva Polina1,Blyuss Oleg14,Kislova Maria1,Listovskaya Ekaterina1,Gamirova Aysylu1,Shikhaleva Anastasia1,Belyaev Vladimir5,Timashev Petr678,Warner John O2,Comberiati Pasquale9,Apfelbacher Christian10,Bezrukov Evgenii11,Politov Mikhail E12,Yavorovskiy Andrey12,Bulanova Ekaterina12,Tsareva Natalya13,Avdeev Sergey13,Kapustina Valentina A14,Pigolkin Yuri I15,Dankwa Emmanuelle A16,Kartsonaki Christiana17,Pritchard Mark G1819,Victor Fomin20,Svistunov Andrey A20,Butnaru Denis20,Glybochko Petr20

Affiliation:

1. Department of Paediatrics and Paediatric Infectious Diseases, Institute of Child’s Health, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

2. Inflammation, Repair and Development Section, National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom

3. Research and Clinical Center for Neuropsychiatry, Moscow, Russia

4. School of Physics, Astronomy and Mathematics, University of Hertfordshire, College Lane, Hatfield, United Kingdom

5. Biobank, Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

6. Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

7. Chemistry Department, Lomonosov Moscow State University, Russia

8. Department of Polymers and Composites, N.N. Semenov Institute of Chemical Physics, Russia

9. Department of Clinical and Experimental Medicine, Section of Pediatrics, University of Pisa, Pisa, Italy

10. Institute of Social Medicine and Health Systems Research, Faculty of Medicine, Otto von Guericke University Magdeburg, Magdeburg, Germany

11. Institute for Urology and Reproductive Health, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

12. Department of Intensive Care, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

13. Clinic of Pulmonology, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

14. Department of Internal Medicine №1, Institute of Clinical Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

15. Department of Forensic Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

16. Department of Statistics, University of Oxford, United Kingdom

17. Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom

18. Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, United Kingdom

19. Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, United Kingdom

20. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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