Models for predicting traumatic brain injury outcomes in the older patients, accounting for cognitive status
https://doi.org/10.29413/ABS.2026-11.4.14
Abstract
Introduction. Predicting the outcomes of traumatic brain injury (TBI) depending on the degree of cognitive impairment is important for optimizing diagnostic and therapeutic care, but cognitive impairments are rarely used in predictive models.
Aim. To develop models for predicting the outcomes of mild and moderate TBI in elderly patients, taking into account cognitive status.
Material and methods. A total of 125 patients aged 60–74 years with mild and moderate TBI were examined on days 8–9 and 20–21, respectively. TBI outcomes were classified into 3 groups: 1 – patients’ ability to perform motor and sensory actions, 2 – mood and interpersonal interaction, 3 – social contacts and work. Cognitive impairments were detected using the Mini-Mental State Examination (MMSE). The Statistica 17.0 program and regression analysis were used to develop predictive models of the above-mentioned TBI outcomes.
Results. Weak inverse correlations between mild TBI severity and TBI outcomes were established. However, the association of moderate TBI severity with outcomes was higher than for mild TBI, especially for participation in social contacts and work (r = -0.452; p < 0.01) and for mood and interpersonal interaction (r = -0.406; p < 0.01). In all cases, the outcomes of TBI with cognitive impairments had a moderate positive correlation, with correlation coefficients from 0.339 to 0.372 (p < 0.01). To predict the ability of patients to perform motor and sensory actions (y4), taking into account the score of cognitive impairment (x4), an adjusted model y4 = 7,389–1,724x4 was created. To predict mood and interpersonal interaction, an adjusted model y5 = 8,241–1,406x5; to predict patient participation in social contacts and work, an adjusted model y6 = 7,895– 1,469x6, where x5 and x6 are the scores of cognitive impairments on the MMSE scale.
Conclusion. The results show the negative impact of cognitive impairment on the outcomes of TBI, for the prediction of which prognostic models have been developed.
About the Authors
N. M. AgarkovRussian Federation
Nikolay M. Agarkov – Dr. Sc. (Med.), Professor of the Department of biomedical engineering, Southwest State University; professor of the Department of Propaedeutics of Internal Diseases and Clinical Information Technologies, Belgorod State National Research University
50 let Oktyabrya str., 94, Kursk 305040,
Pobedy Str., 85, Belgorod 308015
O. G. Pavlov
Russian Federation
Oleg G. Pavlov – Dr. Sc. (Med.), Associate Professor
Pokrovka, st. 22a, Moscow 101000
A. P. Yakovlev
Russian Federation
Alexander P. Yakovlev – Dr. Sc. (Med.), professor, professor of the Department of immunology and specialized clinical disciplines
Komsomolskaya str., 95, Oryol 302026
V. A. Ivanov
Russian Federation
Viktor A. Ivanov – Dr. Sc. (Med.), professor of the Department of Human Anatomy
Karl Marx Str., 3, Kursk 305041
A. A. Bakhareva
Russian Federation
Arina A. Bakhareva – student of the Department of Biomedical Engineering
50 let Oktyabrya str., 94, Kursk 305040
I. M. Fedoseyev
Russian Federation
Ilya M. Fedoseev – student of the Department of Biomedical Engineering
50 let Oktyabrya str., 94, Kursk 305040
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Review
For citations:
Agarkov N.M., Pavlov O.G., Yakovlev A.P., Ivanov V.A., Bakhareva A.A., Fedoseyev I.M. Models for predicting traumatic brain injury outcomes in the older patients, accounting for cognitive status. Acta Biomedica Scientifica. 2026;11(4):136-144. (In Russ.) https://doi.org/10.29413/ABS.2026-11.4.14
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