Section: 
Original articles
Original articlesDevelopment of a scorecard for predicting clinical outcome in otorinolaryngology
A. A. Korneenkov (1)
(1) Saint Petersburg Research Institute of Ear, Throat, Nose and Speech, the Ministry of Healthcare of Russia, Saint Petersburg, 190013, Russia
UDK: 519.237.5:303.714:004.43:616.2.81-008.55-089.168
DOI: https://doi.org/10.18692/1810-4800-2019-2-25-35
ABSTRACT
The method makes it possible to create simple and effective assessment cards or scorecards of a preliminary assessment of risks of a certain clinical outcome in patients with otorhinolaryngological pathology. To illustrate the methods, we used virtual data generated on the basis of the published results of clinical studies of complications risk factors in the surgical treatment of patients with Meniere’s disease. The virtual fetching generation provides reproducibility of the solution of the problems set in the study. Based on a clinical outcome logistic regression model, using a scaling procedure, we developed a scorecard to stratify the risk of complications of surgical interventions. To solve statistical problems, we used the R-language software environment, which is currently considered the most powerful and flexible tool for statistical analysis of medical data and visualization of its results. The description of the tasks is accompanied by the introduction of R-language full program code which can be used to reproduce the results of this study and solve similar problems with other source data. The used R software packages have presented high efficacy in the solution of such problems, visualization of its results and validation of the obtained screening system.
Publication date:
28.03.2019
Keywords:
clinical outcome prediction, risk assessment, scorecard, risk stratification, R software environment, R-language, logistic regression model, scorecard validation. For citation:
Korneenkov A. A. Development of a scorecard for predicting clinical outcome in otorinolaryngology. Rossiiskaya otorinolaringologiya. 2019;18(2):25–35. https://doi.org/ 10.18692/1810-4800-2019-2-25-35