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
Authors: Munblit Daniel , Nekliudov Nikita A , Bugaeva Polina , Blyuss Oleg , Kislova Maria , Listovskaya Ekaterina , Gamirova Aysylu , Shikhaleva Anastasia , Belyaev Vladimir , Timashev Peter , Warner John O , Comberiati Pasquale , Apfelbacher Christian , Bezrukov Evgenii , Politov Mikhail E , Yavorovskiy Andrey , Bulanova Ekaterina , Tsareva Natalya , Avdeev Sergey , Kapustina Valentina A , Pigolkin Yuri I , Dankwa Emmanuelle A , Kartsonaki Christiana , Pritchard Mark G , Fomin Victor , Svistunov Andrey A , Butnaru Denis , Glybochko Petr ,   Sechenov StopCOVID Research Team, Berbenyuk Anna , Bobkova Polina , Bordyugov Semyon , Borisenko Aleksandra , Bugaiskaya Ekaterina , Druzhkova Olesya , Eliseev Dmitry , El-Taravi Yasmin , Gorbova Natalia , Gribaleva Elizaveta , Grigoryan Rina , Ibragimova Shabnam , Kabieva Khadizhat , Khrapkova Alena , Kogut Natalia , Kovygina Karina , Kvaratskheliya Margaret , Lobova Maria , Lunicheva Anna , Maystrenko Anastasia , Nikolaeva Daria , Pavlenko Anna , Perekosova Olga , Romanova Olga , Sokova Olga , Solovieva Veronika , Spasskaya Olga , Spiridonova Ekaterina , Sukhodolskaya Olga , Suleimanov Shakir , Urmantaeva Nailya , Usalka Olga , Zaikina Margarita , Zorina Anastasia , Khitrina Nadezhda 
Published: October 2020

Abstract

Background
The 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.

Methods
We 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.

Results
Of 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).

Conclusions
Age, 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.