The Causative Organism of Urinary Tract Infections UTI: a Cross-sectional Study from a Tertiary Hospital In Saudi Arabia
Bibliographic record
Abstract
BACKGROUND: Urinary tract infections (UTIs) are a common disease with a high burden on the healthcare industry. A systematic exploration is necessary of the organisms that cause UTIs, to improve empirical management of patients with acute illness before culture results are obtained. The prevalence of these organisms, both in immunocompetent and immunocompromised patients in Saudi Arabia, needs further clarification. METHODS: This is a cross-sectional analysis reviewing the charts of patients visiting the emergency department of, and those admitted to, a tertiary hospital in Saudi Arabia during the month of July-August 2021. RESULT: The total number of participants was 199, with a mean age of 55.8 years (SD=20.02), ranging from 14 to 97 years. 61.8% of patients were immunocompromised, and one-third were from the oncology wards. 40.7% (n=81) were diabetics and 8.54% (n=17) had CKD/ESRD. Females were 25% more likely than males to acquire Candida infections, while Pseudomonas aeruginosa was 26.7% more prevalent in males. Nevertheless, mixed gram-negative bacteria caused the most UTIs, in 40.20% (n=80) of cases, followed by Candida, 16.1% (n=32), and then mixed gram-positive bacteria, in 14.57% (n=29). This was also observed among immunocompromised patients and the subsegment of oncology patients on active chemotherapy, although with variable percentages. CONCLUSION: This study demonstrates that patients’ immune status is the main determinant of the causative organism of UTIs. The treatment threshold for Candida in diabetic patients and those with CKD/ESRD should be lower, especially when they require admission.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".