Effectiveness of clinical and instrumental tools to predict falls  In elderly patients neurological hospital

K. Robinson; F. Akhmadullin; E. Kharisova; L. Akhmadeeva; B. Vaytsmen

doi:doi:10.12737/7220

Effectiveness of clinical and instrumental tools to predict falls In elderly patients neurological hospital

Published в Journal of New Medical Technologies. eJournal · Volume 8, Issue 1, 2014 · Pages 0–0 · Rubrics: Proceedings of the conference

DOI 10.12737/7220

Received: 18.12.2014 Accepted: 18.12.2014 Published: 18.12.2014 Language of publication: RUS

Authors

K. Robinson · F. Akhmadullin · E. Kharisova · L. Akhmadeeva · B. Vaytsmen

ABSTRACT

The purpose of this study was evaluation of the most effective clinical and paraclinical methods for prediction of falls in elderly patients of neurology ward. Мaterials and methods: the study included 251 patients (all retired by age) who admitted to neurology ward at the Hospital of Bashkir State Medical University (Ufa, Russia). The following tools were used: “Timed up and Go” (TUG), Berg Balance Scale (B), Duncan test (D), reactive balance test (T) and computerized stabilometric tests on force platform «STABILO-MBN» (Moscow). Results: Mean age of patients was 66.68 years (SD=8.79, median=64 года). The mean results of the clinical tests were the following: TUG=13.42 sec, SD=5.57 (normal reference time is less than 10 sec.), B= 45.90 (SD=7.70), which is interpreted as low risk for falling, D= 26.10 сm (SD=7.77), which is significantly less than normal results, T= 1.50 (SD=0.54), which is also worse than in healthy individuals. The best predictive power for prognosis of falls was calculated for reactive balance test values and root-mean-square deviation of center of pressure in frontal (CPF) or sagittal plane with the eyes closed. The authors present the predictive equations for prognosis of the number of falls. For instance, the predicted number of falls during 12 months =1.476 + 0.122TUG – 1.411T + 0.0161CPF. Conclusion: The tools evaluated in this study, have different effectiveness for prognosis of falls in patients and could be used in clinical practice as a part of predictive mathematical model.

KEYWORDS

falls elderly balance prognosis.

Information References

Authors:

Type:

Article

Pages:

from 0 to 0

Status:

Published

Language:

Russian

Keywords:

falls, elderly, balance, prognosis.

References

1. Akhmadeeva L., Veytsman B., Rayanova G. Visual and non-visual cues for stability in patients with low back pain. Journal of Neurology 2011. Vol. 258. Suppl. 1. P. 269-270.

2. Akhmadeeva L. R., Shamsiyarova L. I., Rayanova G. Sh. Ustoychivost´ patsientov s bolyami v nizhney chasti spiny: stabilometricheskoe issledovanie. Materialy 3-go mezhdunarodnogo kongressa «Neyro-reabilitatsiya-2011». Moskva, 2011. S. 207-208.

3. Akhmadeeva L.R., Veytsman B.A., Kharisova E.M., Gurov D.P., Fatykhova M.R. Ispol´zovanie dan-nykh stabilometrii dlya prognozirovaniya padeniy u pozhilykh patsientov nevrologicheskogo statsionara. Ural´skiy meditsinskiy zhurnal. 2013. №1. S. 47-50.

4. Khadartsev A.A., Yashin A.A., Es´kov V.M., Agarkov N.M., Kobrinskiy B.A., Frolov M.V., Chukhraev A.M., Gondarev S.N., Khromushin V.A., Kamenev L.I., Valentinov B.G., Agarkova D.I. Informatsionnye tekhnologii v meditsine. Tula: TulGU, 2006. 272 s.

5. Khromushin V.A., Khadartsev A.A., Khromushin O.V., Chestnova T.V. Obzor analiticheskikh rabot s ispol´zovaniem algebraicheskoy modeli konstruktivnoy logiki. Vestnik novykh meditsinskikh tekhnolo-giy. Elektronnyy zhurnal. 2011. №1. URL: http://www.medtsu.tula.ru/VNMT/Bulletin/E2011-1/LitObz.pdf

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