Effects of desmopressin for the treatment of nocturnal polyuria in elderly women: impact on related sleep quality
Bibliographic record
Abstract
INTRODUCTION: We investigated the efficacy, safety, and impact of desmopressin on quality of sleep in treating nocturnal polyuria in elderly women. METHODS: We recruited 60 women over 60 years old with lower urinary tract symptoms (LUTS), including nocturia, and with nocturnal polyuria. Nocturnal polyuria was defined as nighttime urine production exceeding 33% of the 24-hour total urine volume determined by a frequency volume (FV) chart. All patients failed to respond to treatment of their underlying disease and evening fluid restriction. Desmopressin 0.1 mg was administered orally at bedtime for 12 weeks. The participants completed a series of questionnaires on the Medical Outcomes Study (MOS) sleep scale and FV chart before and after treatment. RESULTS: The patient population had a mean age of 69.2 ± 9.4 years (range: 61-81). The mean duration of symptoms was 61.2 ± 45.1 months. Significant decreases were evident after desmopressin treatment in the number of nocturia episodes (3.63 ± 1.61 to 2.00 ± 1.13, p = 0.01), nocturnal urine volume (p = 0.01), nocturnal polyuria index (NPI) (p = 0.01), and nocturia index (NI) p = 0.01). Among the categories of the MOS sleep scale, sleep index (p = 0.003), sleep disturbance (p = 0.001), snoring (p = 0.028), and shortness of breath (p = 0.036) significantly changed, with a decreased number of nocturia episodes. Adverse events were mild. CONCLUSIONS: Desmopressin is an effective treatment for nocturnal polyuria in elderly women, where conservative treatment has failed. Sleep quality is also improved.
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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 | 0.000 | 0.001 |
| 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".