• Daniel Munblit, Nikita A Nekliudov, Polina Bugaeva, Oleg Blyuss, Maria Kislova, Ekaterina Listovskaya, Aysylu Gamirova, Anastasia Shikhaleva, Vladimir Belyaev, Peter Timashev, John O Warner, Pasquale Comberiati, Christian Apfelbacher, Evgenii Bezrukov, Mikhail E Politov, Andrey Yavorovskiy, Ekaterina Bulanova, Natalya Tsareva, Sergey Avdeev, Valentina A Kapustina, Yuri I Pigolkin, Emmanuelle A Dankwa, Christiana Kartsonaki, Mark G Pritchard, Victor Fomin, Andrey A Svistunov, Denis Butnaru, Petr Glybochko, and Sechenov StopCOVID Research Team.
• Department of Pediatrics and Pediatric Infectious Diseases, Institute of Child's Health, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
• Clin. Infect. Dis. 2021 Jul 1; 73 (1): 1-11.

BackgroundThe epidemiology, clinical course, and outcomes of patients with coronavirus disease 2019 (COVID-19) in the Russian population are unknown. Information on the differences between laboratory-confirmed and clinically diagnosed COVID-19 in real-life settings is lacking.MethodsWe extracted data from the medical records of adult patients who were consecutively admitted for suspected COVID-19 infection in Moscow between 8 April and 28 May 2020.ResultsOf the 4261 patients hospitalized for suspected COVID-19, outcomes were available for 3480 patients (median age, 56 years; interquartile range, 45-66). The most common comorbidities were hypertension, obesity, chronic cardiovascular disease, and diabetes. Half of the patients (n = 1728) had a positive reverse transcriptase-polymerase chain reaction (RT-PCR), while 1748 had a negative RT-PCR but had clinical symptoms and characteristic computed tomography signs suggestive of COVID-19. 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 severe acute respiratory syndrome coronavirus 2 (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, 1.05; 95% confidence interval, 1.03-1.06), male sex (1.71; 1.24-2.37), chronic kidney disease (2.99; 1.89-4.64), diabetes (2.1; 1.46-2.99), chronic cardiovascular disease (1.78; 1.24-2.57), and dementia (2.73; 1.34-5.47).ConclusionsAge, male sex, and chronic comorbidities were risk factors for in-hospital mortality. The combination of clinical features was sufficient to diagnose COVID-19 infection, indicating that laboratory testing is not critical in real-life clinical practice.© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

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