MINI-COG AND MONTREAL COGNITIVE IMPAIRMENT SCALE (MOCA-TEST) IN THE EARLY DIAGNOSIS OF MENTAL IMPAIRMENT IN ELDERLY AND SENILE PATIENTS WITH CHRONIC NON-INFECTIOUS DISEASES (CNID) AT THE OUTPATIENT STAGE
Bibliographic record
Abstract
В статье представлены результаты скрининговой оценки распространенности недементных когнитивных расстройств и деменции у лиц пожилого и старческого возраста с различными хроническими неинфекционными заболеваниями (ХНИЗ). В исследовании приняли участие 130 пациентов с любыми хроническими неинфекционными заболеваниями, обратившихся за медицинской помощью в плановом порядке в поликлинику по месту жительства. Каждому из больных с целью ранней диагностики когнитивных нарушений были предложены скрининговые методики: Мини-Ког, МоСА-тест, проба Шульте. В ходе исследования установлено, что нарушения когнитивных функций чаще наблюдались у женщин – 77 (65,8%) старческого возраста. Среди приоритетных факторов риска развития когнитивных расстройств у лиц 60 лет и старше были выделены: гиперлипидемия (90,8%), гиподинамия (75,4%), неконтролируемая артериальная гипертензия (66,2%). По опроснику Mini-Cog 65 (50%) больных имели выраженные когнитивные расстройства, каждый третий, - 51 (39,2%), - легкие или умеренные. Когнитивные нарушения у лиц 60 лет и старше с ХНИЗ были представлены у 117 (90%) пациентов по данным Моса-теста. У больных ХНИЗ чаще всего страдали такие когнитивные сферы как память, внимание. Высокая распространенность когнитивных нарушений у лиц с ХНИЗ требует проведения своевременной их диагностики, профилактики, реабилитационных мероприятий The article presents the results of a screening assessment of the prevalence of non-dementia cognitive disorders and dementia in elderly and senile people with various chronic non-communicable diseases (CNID). The study involved 130 patients with any chronic non-communicable diseases who sought medical help in a planned manner at a polyclinic at their place of residence. Screening methods were offered to each of the patients for the purpose of early diagnosis of cognitive impairment: Mini-Cog, MoSA test, Schulte test. During the research it was found that cognitive impairment was more often observed in women – 77 (65.8%) of senile age. Among the priority risk factors for the development of cognitive disorders in people 60 years and older were identified: hyperlipidemia (90.8%), inactivity (75.4%), uncontrolled hypertension (66.2%). According to the Mini-Cog questionnaire, 65 (50%) patients had severe cognitive disorders, every third, 51 (39.2%), mild or moderate. Cognitive impairments in persons 60 years and older with CNID were presented in 117 (90%) patients according to the Mos test. Such cognitive spheres as memory and attention were most often affected in patients with CNID. The high prevalence of cognitive impairment in people with CND requires timely diagnosis, prevention, and rehabilitation measures
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".