Demographic and Clinical Profile of Patients with Mild Cognitive Impairment Seen at St. Luke’s Medical Center-Global City Memory Service
Bibliographic record
Abstract
INTRODUCTION: Mild cognitive impairment (MCI) is a dynamic state, which has evolved into a highly defined condition due to its association with dementia syndromes. There are no published data on the demographic and clinical characteristics of MCI in the Philippines. These data will help in defining the population at risk for the condition and in modifying the factors for its prevention. METHODS: From 2010 to 2019, 434 subjects were diagnosed with MCI based on the criteria published by the International Working Group on MCI last 2004. The demographic profile, vascular risk factors, and levels of Vitamin B12, Vitamin D, and homocysteine were reviewed. Results of neuropsychological tests, such as Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog), Mini-Mental State Exam (MMSE), and Montreal Cognitive Assessment (MoCA), were collected. The Fazekas score of the cranial magnetic resonance imaging of patients was also considered. RESULTS: The median age was 72 years [34-97] with 58.3% females. The median years of education were 14 [4-28]. Median ADAS-Cog, MMSE, and MoCA scores were 11.3 [0-27.67], 27 [13-30], and 21 [7-30], respectively. Hypertension and dyslipidemia were present in 66.8% and 64.1%, respectively. Normal homocysteine, Vitamin B12, and Vitamin D levels were found in 64.2%, 59.8%, and 48.8%, respectively. The median Fazekas score was 1 (59.4%). CONCLUSION: This is the first study to document the demographic and clinical profile of Filipinos with MCI in a clinical setting. This review serves as a foundation for increased understanding of MCI with the ultimate goal of controlling the factors which may impact its prevention.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".