Palliative care in Autosomal Dominant Alzheimer’s disease due to PSEN1‐E280A genetic variant in Colombia
Bibliographic record
Abstract
Abstract Background Autosomal Dominant Alzheimer’s disease (ADAD) is a subtype of AD in which the symptoms begin before age 65. ADAD is an important subtype of AD as it affects people at productive and reproductive age, has a genetic origin in most of the cases and is one of the 10 causes of years lost to disability (YDLs) (1). Colombia has the largest kindred family with ADAD due to PSEN1‐E280A genetic variant, we aimed to characterize the palliative care need in a subsample of individuals from these families. Methods We performed an analytical observational study with one year follow‐up, data obtained from visit 1 (V1) is shown in this first report. Carriers of PSEN1‐E280A variant and GDS/FAST score above 4 were included. NECPAL and Edmonton surveys were conducted to the main carer to assess the need for palliative care and the frequency of symptoms. A complete medical evaluation was also performed. Results 36 patients were included in V1. Median age was 53, most of the individuals were women (63.89%), lived in urban areas (88.89%) and the most common level of education was elementary‐middle school (47.22%). Clinical variables are listed in Table 2. Results of the poisson regression showed that dysphagia, pressure ulcers, asthenia perceived by the main carer, not being surprised if the patient died in the following 12 months (Surprise question of NECPAL scale), functional decline, use of medical services (2 visits in the past year), PAINAD scale and GDS/FAST scale were associated with the need for palliative care when adjusted by number of persons involved in caring, type of carer, hours of care per week and caregiver training. Conclusion ADAD is a neurodegenerative disease that requires follow‐up by palliative care services. The health perception of the main carer should be taken into consideration when deciding the need for palliative care in these patients.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".