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Record W4323666133 · doi:10.1017/s1092852923000883

Study on risk prediction and intervention coping of mild cognitive impairment in patients with hypertension

2023· article· en· W4323666133 on OpenAlexaboutno aff
Wuren Bao, Ying Qu, Guomei Gong, Jifeng Zhang

Bibliographic record

VenueCNS Spectrums · 2023
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDementiaCognitionMontreal Cognitive AssessmentInternal medicineCognitive declineCognitive impairmentPopulationCardiologyPhysical therapyGerontologyDiseasePsychiatry

Abstract

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Background While the ageing population is increasing, diseases such as senile dementia and hypertension have gradually become important health risks for the elderly. The existing research shows that long-term hypertension will affect the structure and function of cerebral vessels, leading to the decline of cerebrovascular compliance, vascular deformation, cerebral blood flow reduction and other problems. The occurrence of these conditions will lead to the decline of the brain’s self-regulation ability, which will lead to cognitive decline and dementia. The study will analyze the risk factors of mild cognitive impairment (MCI) in hypertensive patients, and determine the regulatory role between adaptation and cognitive function in the treatment of hypertensive patients. Subjects and Methods In this study, 180 hypertensive patients were investigated to analyze their cognitive factors and functional status. The investigation was completed by the Montreal Cognitive Assessment (MoCA). After the investigation, SPSS 25.0 software was used to analyze the data and screen the independent risk factors of mild cognitive impairment. The experimental results are shown in Table 1. Table 1. Each dimension score of MoCA scale for hypertensive patients Test items MCI(n=124) Normal cognitive function (n=58) z P Performing 3(1) 5(1) -8.29 <0.001 Naming 2(2) 3(0) -6.57 <0.001 Attention 6(2) 6(0) -5.73 <0.001 Speech 2(1) 3(0) -6.39 <0.001 Abstract 0(1) 1.5(1) -8.25 <0.001 Recall 2(2) 4(2) -9.02 <0.001 Directional 6(0) 6(0) -3.41 0.001 Total score 21(6) 28(2) -10.87 <0.001 Results As shown in Table 1, 124 of 180 hypertensive patients developed MCI, with a prevalence rate of 68.9%. It can be seen from the table that the total score and scores of each dimension in the MCI group were significantly lower than those in the normal cognitive function group ( P < 0.05), with the largest difference being delayed recall and executive function. Conclusions In this study, the research center was placed at risk of mild cognitive impairment in hypertensive patients. Through the MoCA scale investigation experiment, it was found that 124 of 180 hypertensive patients had a lower cognitive function in all dimensions than normal. The experiment shows that the problems such as micro hemorrhage caused by hypertension and the increase of cerebrovascular events affect the cognitive function of the elderly, which is obviously reflected in memory and executive ability. Acknowledgements The research is supported by: The Study of the Effect of Health Education Based on Teach-back and PRECEDE Model on Elderly Hypertensive Patients in the Community, supported by Fundamental Research Funds for Universities of Inner Mongolia Autonomous Region; The Construction of Human Care Training Courses for Nursing Students Based on Health Care of Elderly Patients with Chronic Diseases, supported by Higher Education Teaching Reform Project of National Ethnic Affairs Commission, 2021 (No.21083); An Exploration of the Ideological and Political Construction in Human Care Training Courses of Higher Education for Nursing Students in the New Era, supported by a grant from the Education and Science Project of Inner Mongolia Autonomous Region during the 14th Five-Year Plan Period, 2021 (No.NGJGH2021145).

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)0.000
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 score0.025
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.021
GPT teacher head0.297
Teacher spread0.277 · 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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Citations0
Published2023
Admission routes1
Has abstractyes

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