Author: 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; Glybochko, Petr
Title: StopCOVID cohort: An observational study of 3,480 patients admitted to the Sechenov University hospital network in Moscow city for suspected COVID-19 infection Cord-id: 3qejdjv3 Document date: 2020_10_9
ID: 3qejdjv3
Snippet: 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, outco
Document: 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.
Search related documents:
Co phrase search for related documents- additional information and admission severity: 1
- additional information and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
- additional information and logistic regression model: 1, 2, 3
- additional information and low number: 1, 2, 3, 4, 5, 6
- admission require and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
- admission require and logistic regression model: 1, 2, 3, 4, 5, 6
- admission require and lopinavir ritonavir: 1, 2
- admission severity and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- admission severity and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- admission severity and lopinavir ritonavir: 1, 2, 3, 4, 5
- admission severity and low hospital mortality: 1
- admission severity and lung consolidation: 1, 2, 3
- admission symptom and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- admission symptom and logistic regression model: 1, 2
- logistic regression and lopinavir ritonavir: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- logistic regression and low hospital mortality: 1, 2, 3, 4, 5, 6
- logistic regression and low number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- logistic regression model and low hospital mortality: 1, 2
- logistic regression model and low number: 1, 2, 3
Co phrase search for related documents, hyperlinks ordered by date