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

  • Daniel Munblit
  • , Nikita A Nekliudov
  • , Polina Bugaeva
  • , Oleg Blyuss
  • , Maria Kislova
  • , Ekaterina Listovskaya
  • , Aysylu Gamirova
  • , Anastasia Shikhaleva
  • , Vladimir Belyaev
  • , Petr 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, Fomin Victor, Andrey A Svistunov, Denis Butnaru, Petr Glybochko

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)
22 Downloads (Pure)

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.

Original languageEnglish
JournalClinical infectious diseases
Early online date9 Oct 2020
DOIs
Publication statusPublished - 9 Oct 2020

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