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Association between cognitive impairments and blood pressure variability during the day/night cycle in elderly patients treated with hemodialysis

2018· article· en· W3029757695 on OpenAlexaboutno aff
Yidan Guo, Chunxia Zhang

Bibliographic record

VenueZhonghua laonian yixue zazhi · 2018
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBlood pressureMedicineMontreal Cognitive AssessmentAmbulatory blood pressureInternal medicineCardiologyLogistic regressionHemodialysisCognitionAmbulatoryAnemiaCognitive impairment

Abstract

fetched live from OpenAlex

Objective To investigate the relationship between cognitive impairments in elderly patients receiving hemodialysis and blood pressure variability during the day/night cycle. Methods A cross-sectional study was performed in 106 hemodialysis patients to evaluate cognitive function with Montreal Cognitive Assessment (MoCA) and blood pressure variability with a 24 h ambulatory blood pressure monitor.A multi-Logistic regression was conducted to analyze potential risk factors associated with cognitive impairments. Results A hundred and six patients had an average age of(73.1±12.9)years.Sixty-nine out of 106 (63.4%) suffered cognitive impairments with MoCA scores lower than 26.Measurements for patients with cognitive impairments versus patients without cognitive impairments included twenty-four-hour ambulatory blood systolic pressure[(151.3±20.1)mmHg vs.(131.1±11.7)mmHg, P<0.05], day-time average systolic blood pressure[(167.6±28.2)mmHg vs.(139.1±14.2)mmHg, P<0.05], night-time average systolic blood pressure[(139.9±18.5)mmHg vs.(100.2±11.3)mmHg, P<0.05], difference in systolic blood pressure between day and night[(167.6±28.2)mmHg vs.(139.1±14.2)mmHg, P<0.05], and coefficient of variation of systolic blood pressure[(8.2±1.6)% vs.(19.9±2.9)%, χ2=44.67, P<0.05]. Multi-logistic regression analysis showed that age (OR: 1.5, 95%CI: 1.1-2.2, P<0.05), education level (OR: 1.8, 95%CI: 1.4-2.5, P<0.05), anemia (OR: 1.7, 95%CI: 1.1-2.6, P<0.05), and diabetes (OR: 2.1, 95%CI: 1.7-3.1, P<0.05) were associated with cognitive impairments.Moreover, the coefficient of variation of systolic blood pressure was also independently correlated with cognitive impairments (OR: 1.4, 95%CI: 1.1-1.9, P<0.05). Conclusions Cognitive impairment has a high prevalence among elderly hemodialysis patients and is associated with anemia, age, education level, hypertension and diabetes.Besides, the coefficient of variation of low systolic blood pressure may be an independent risk factor for cognitive impairment. Key words: Renal dialysis; Cognitive function; Blood pressure variability

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.222
Teacher spread0.215 · 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 teacher head, 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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Citations1
Published2018
Admission routes1
Has abstractyes

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