Thick Liquids and Clinical Outcomes in Hospitalized Patients With Alzheimer Disease and Related Dementias and Dysphagia
Bibliographic record
Abstract
Importance: Oropharyngeal dysphagia is common in hospitalized patients with Alzheimer disease and related dementias (ADRD). Although the use of thick liquids in patients with dysphagia has been shown to reduce aspiration on direct visualization, there is no clear evidence that this practice translates into improved clinical outcomes. Objectives: To determine whether a diet of thick liquids compared with thin liquids is associated with improved outcomes in hospitalized patients with ADRD and dysphagia. Design, Setting, and Participants: This cohort study included adults aged 65 years and older with ADRD who were admitted to the medicine service across 11 diverse hospitals in New York between January 1, 2017, and September 20, 2022, with clinical suspicion of dysphagia during hospitalization and survival for at least 24 hours after hospital arrival. Patients were grouped according to whether at least 75% of their hospital diet consisted of a thick liquid diet or a thin liquid diet. Propensity score matching was used to balance covariates across the 2 groups for the following covariates: demographics (eg, age, sex), baseline clinical characteristics (eg, Charlson Comorbidity Index), and acute presentation (eg, respiratory diagnosis, illness severity, delirium). Main Outcomes and Measures: Hospital outcomes included mortality (primary outcome), respiratory complications (eg, pneumonia), intubation, and hospital length of stay (LOS). Results: Of 8916 patients with ADRD and dysphagia included in the propensity score matched analysis, the mean (SD) age was 85.7 (8.0) years and 4829 were female (54.2%). A total of 4458 patients receiving a thick liquid diet were matched with 4458 patients receiving a thin liquid diet. There was no significant difference in hospital mortality between the thick liquids and thin liquids groups (hazard ratio, 0.92; 95% CI, 0.75-1.14]; P = .46). Compared with patients receiving thin liquids, patients receiving thick liquids were less likely to be intubated (odds ratio [OR], 0.66; 95% CI, 0.54-0.80), but they were more likely to have respiratory complications (OR, 1.73; 95% CI, 1.56-1.91). Conclusions and Relevance: This cohort study emphasizes the need for prospective studies that evaluate whether thick liquids are associated with improved clinical outcomes in hospitalized patients with ADRD and dysphagia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".