Assessment of factors affecting the probability of hospitalization of COVID-19 patients with concomitant pathology and development of a prognostic model based on them

Introduction. Currently, a significant number of patients with COVID-19 require inpatient treatment. At the same time, predictors of hospitalization are still stable, including in persons with concomitant pathology. Aim. Assessment of factors affecting the probability of hospitalization of COVID-19 patients with concomitant pathology and the development of a prognostic model based on them. Materials and methods. An observational retrospective cohort study of 74 314 patients with COVID-19 with various comorbidities was carried out in the period from March to November 2020 in the Russian Federation. Results. Based on 16 factors, including age, gender, place of diagnosis, fever, rhinitis, loss of taste, shortness of breath, concomitant diseases of the cardiovascular, bronchopulmonary system, oncological, endocrine diseases in patients included in the study, a prognostic model was developed. The need for inpatient treatment of patients with COVID-19 and comorbidities was determined. Conclusion. The constructed predictive model has demonstrated sufficient efficiency to assess the likelihood of hospitalization of patients with COVID-19 by medical specialists.

Automated summary

This study assessed the factors influencing the probability of hospitalization for COVID-19 patients with comorbidities and developed a predictive model. The results showed that the predictive model can effectively evaluate the hospitalization needs of COVID-19 patients.