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Record W3084083493 · doi:10.1161/hyp.76.suppl_1.p084

Abstract P084: When To Expect And Why To Analyze Cognitive Disorders In Arterial Hypertension

2020· article· en· W3084083493 on OpenAlexaboutno aff
Viktoriia Krotova, Tatyana Khomazyuk

Bibliographic record

VenueHypertension · 2020
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDementiaCognitive impairmentInternal medicineCognitionMontreal Cognitive AssessmentEffects of sleep deprivation on cognitive performanceQuality of life (healthcare)CardiologyDiseasePsychiatry

Abstract

fetched live from OpenAlex

To study the relationship between quality of life (LQ) and cognitive impairment, as well as to identify risk factors for their development in patients with arterial hypertension (AH). Examined 509 outpatients with controlled AH stage II with SCORE risk of CVD <5 %. Non-dementia cognitive impairment were found 24,32±0,11 points on МCA scale in 164 (32.2 %). Patients also demonstrated a significant (p <0.001) decrease in the LQ indicators on all SF-36 scales compared to healthy ones by an average of 24.5-66.0 points. According to the results of correlation analysisthe most significant was the direct relationship between cognitive impairment on МCA scale and assessment of physical health (rs=+0,65; p<0,001), mental health (rs=+0,60; p<0,001), life activity limitations (rs=+0,33; p<0,001) and social activity (rs=+0,35; p<0,001), indicating an association between deterioration in LQ components and cognitive impairment.It turned out that the risk factors for developing cognitive impairment with AH were a history of cognitive impairment in close relatives (2.79 (95 % CI 1.15-6.77) compared with healthy people and 2.41 (95 % CI 1.01-5.88) - AH patients without cognitive impairment), a high vegetative index (rs +0.15; p <0.05) according to daily monitoring of BP and elevated levels of systolic BP variability in day and at night, that increased the chances of developing cognitive impairment in AH patients by 2.11 times, (rs = + 0.57 and rs = + 0.61; p<0.001). It was found that the likelihood of developing cognitive impairment exceeds 50 % (high risk) if the level of systolic BP variability is above 12 mm Hg in day (area under ROC curve AUC = 0.891; 95 % CI 0.883-0.940. (AUC = 0.891; 95 % CI 0.883-0.940; ST = 82.5 % and SP = 92.9 %) and at night – over 10 mm Hg (AUC = 0.922; 95 % CI 0.861-0.963; ST = 82.5 % and SP = 85.7 %) according to daily BP monitoring. In patients with AH for more than 10 years with dissatisfaction of life quality, even with controlled blood pressure, the presence of cognitive impairment needs to be clarified in immediate families, and pay attention to the high autonomic index and variability of systolic blood pressure monitored day and night, due to the high risk of development and progression of cognitive impairment, which worsens the prognosis of cardiovascular events.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.003

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.

Opus teacher head0.057
GPT teacher head0.304
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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