Lower Urinary Tract Symptoms in Older Adults Undergoing Hip Arthroplasty
Bibliographic record
Abstract
PURPOSE: We undertook a feasibility study to explore the prevalence of preoperative and postoperative lower urinary tract symptoms (LUTS) in older adults undergoing elective hip arthroplasty and to determine whether a larger prospective study was warranted. METHOD: Subjects awaiting elective hip arthroplasty were recruited preoperatively from an orthopedic office and preadmission clinic at 1 university-affiliated hospital. LUTS and related quality of life were measured prehospitalization and 6 weeks postoperatively using the American Urological Association Symptom Index and quality-of-life score. Postvoid residual urine and the 24-hour pad test were used to assess bladder emptying and continence status. RESULTS: Sixteen participants (9 males, 7 females, mean age 74 years) completed the study. Preoperatively, 15 participants reported at least 1 symptom and none had discussed these with a healthcare professional. The most common LUTS were nocturia, frequency, and urgency. Postoperatively, all reported symptoms, with 8 (53%) experiencing increased symptoms with a negative impact on quality of life for 3. Recruitment was a major barrier in conducting the study and would need to be taken into account in further studies of the topic. CONCLUSION: Despite recruitment issues, we suggest larger studies of LUTS in older adults undergoing surgery are warranted to further understand potential problems and risks in transition from hospital to home. Future studies should include identification of potential reasons for increased LUTS, including urinary tract infection.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".