Challenges in Assessing Nursing Home Residents with Advanced Dementia for Suspected Urinary Tract Infections
Bibliographic record
Abstract
OBJECTIVES: To describe the presentation of suspected urinary tract infections (UTIs) in nursing home (NH) residents with advanced dementia and how they align with minimum criteria to justify antimicrobial initiation. DESIGN: Twelve-month prospective study. SETTING: Twenty-five NHs. PARTICIPANTS: Two hundred sixty-six NH residents with advanced dementia. MEASUREMENTS: Charts were abstracted monthly for documentation of suspected UTI episodes to determine whether episodes met minimum criteria to initiate antimicrobial therapy according to consensus guidelines. RESULTS: Seventy-two residents experienced 131 suspected UTI episodes. Presenting symptoms and signs for these episodes are mental status change (44.3%), fever (20.6%), hematuria (6.9%), dysuria (3.8%), costovertebral tenderness (2.3%), urinary frequency (1.5%), rigor (1.5%), urgency (0%), and suprapubic pain (0%). Only 21 (16.0%) episodes met minimal criteria to initiate antimicrobial therapy based on signs and symptoms. Of the 110 episodes that lacked minimum criteria to justify antimicrobial initiation, 82 (74.5%) were treated with antimicrobial therapy. Urinalyses and urine culture results were available for 101 episodes, of which 80 (79.2%) had positive results on both tests. The proportion of episodes with a positive urinalysis and culture was similar for those that met (83.3%) and did not meet (78.3%) minimum criteria (P = .06). CONCLUSION: The symptoms and signs necessary to meet minimum criteria to support antimicrobial initiation for UTIs are frequently absent in NH residents with advanced dementia. Antimicrobial therapy is prescribed for the majority of suspected UTIs that do not meet these minimum criteria. Urine specimens are frequently positive regardless of symptoms. These observations underscore the need to reconsider the diagnosis and the initiation of treatment for suspected UTIs in advanced dementia.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".