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

Munblit, Daniel, Nekliudov, Nikita A, Bugaeva, Polina, Blyuss, Oleg, Kislova, Maria, Listovskaya, Ekaterina, Gamirova, Aysylu, Shikhaleva, Anastasia, Belyaev, Vladimir, Timashev, Petr, 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, Victor, Fomin, Svistunov, Andrey A, Butnaru, Denis and Glybochko, Petr (2020) StopCOVID cohort : An observational study of 3,480 patients admitted to the Sechenov University hospital network in Moscow city for suspected COVID-19 infection. ISSN 1058-4838
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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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