Association Between Urinary Symptoms and Urinary Tract Infection in Patients With Multiple Sclerosis
Bibliographic record
Abstract
BACKGROUND & OBJECTIVE: Urinary dysfunctions occur in the majority of MS patients and these patients are at higher risks of developing UTI due to multiple reasons. We determined to study the association between different urinary symptoms and UTI in MS patients. MATERIAL & METHOD: Eighty seven MS patients that referred to our medical care center with an acute attack of the disease, from November 2012 to April 2014, were included in the study. Patients were classified into two groups based on their urine culture results: UTI positive and non-UTI patients. The prevalence of different types of urinary symptoms was then compared among the two groups. RESULT: The mean age of our patients was 36.8 years old. From the total 87 patients, 83 (95.4%) were female. Overall 56.3% of patients displayed urinary symptoms. The most prevalent urinary problems were urinary incontinence and frequency (25.3% and 24.1%, respectively). A positive urinary culture was seen in 71.3% of the patients. The prevalence of urinary problems was significantly higher in UTI patients in comparison to non-UTI patients (64.5% and 40% in UTI and non-UTI patients, respectively; p=0.036). Separately none of the different urinary symptoms displayed a significant difference between UTI and non-UTI patients (p>0.05). CONCLUSION: Not a single symptom can be diagnostic of UTI, but MS patient with urinary tract infections do present more urinary symptoms and this can be an indication for further urine analysis and screening measures for MS patients who display more urinary symptoms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".