Urinary Tract Infection (UTI) as a Risk Factor of Severe Preeclampsia
Bibliographic record
Abstract
BACKGROUND: Urinary tract infection (UTI) is a very common medical complication of pregnancy. The aim of this study is to determine the incidence of UTI in preeclamptic pregnancies and its association with severity of this disease. METHODS: This cohort study was performed on 71 women with mild preeclampsia (PE), 70 women with severe PE, and 98 healthy pregnant women from October 2012 to April 2014 in the west of Iran. Mean diastolic pressure and level of proteinuria were used as indicators of disease severity. The main criteria for diagnosis of UTI was microbial count of higher than 104 cfu/ml. RESULTS: The prevalence of the UTI in severe PE patients was significantly higher than mild PE patients and non-hypertensive pregnants. 12 out of 70 women with severe PE (17.1%) and 7 out of 98 controls (7.1%) had UTI (P<0.05), also 8 out of 71 women with mild PE (11.3%) had UTI (P>0.05). CONCLUSIONS: Our data shows a significant increase in UTI in severe PE pregnancy. Thus, we can consider UTI as one of the risk factors for developing severe PE; so by screening UTI in the first visit of the pregnant women and repeating it at the second and third trimester of pregnancy we could decrease adverse effects of UTI such as severe PE in pregnant women.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".