Role of cognitive impairment and malnutrition as determinants of quality of life in patients with systemic sclerosis
Bibliographic record
Abstract
Background: Increasing evidence supports the presence of cognitive impairment in patients with systemic sclerosis. Malnutrition is a well-known severe complication of systemic sclerosis and is a consequence of multiple factors, mainly oropharyngeal and gastrointestinal involvement. Recent studies have shown a link between nutrition and cognitive decline in several chronic diseases. Thus, we decided to evaluate a possible association between malnutrition and cognitive impairment in patients with systemic sclerosis. Methods: In total, 100 consecutive systemic sclerosis patients were enrolled in a cross-sectional study to assess clinical and demographic features, nutritional status (body mass index, Global Leadership Initiative on Malnutrition criteria), gastrointestinal involvement (University of California Los Angeles Gastrointestinal Scale 2.0, Eat Assessment Tool 10), cognitive function (Montreal Cognitive Assessment), anxiety and depression (Patient Health Questionnaire 9, Beck Depression Inventory II), and quality of life (Short Form 36, Health Assessment Questionnaire-Disability Index, Scleroderma Health Assessment Questionnaire). Patients were stratified for the presence/absence of malnutrition and cognitive decline and compared for clinical characteristics and quality-of-life measures. Results: Half of the patients had cognitive impairment (Montreal Cognitive Assessment < 26). These patients were older, had more comorbidities, and a significantly worse quality of life. There were no statistically significant associations with body mass index, malnutrition, and gastrointestinal involvement. About one-third of patients had clinically relevant malnutrition. They were older, had higher skin score, lung and esophageal involvement. They also showed significantly worse scores for dysphagia, gastrointestinal symptoms, functional disability, and quality of life. Gastrointestinal symptoms and dysphagia, but not body mass index and Montreal Cognitive Assessment, were significantly associated with depression scores, which in turn were negatively associated to quality-of-life measures. With regression analysis, cognitive impairment was predicted only by age, whereas malnutrition was significantly associated with age, dysphagia, and modified Rodnan skin scores. Conclusion: In this study, we showed that cognitive impairment and malnutrition are not directly linked but are both independently associated with greater functional disability and worse quality of life of patients with systemic sclerosis. Early recognition of these comorbidities is therefore pivotal to better address the chronic needs of patients affected by this disease.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 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 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".