A Study on Prelabour Rupture of Membrane (PROM) at Rajshahi Medical College Hospital
Bibliographic record
Abstract
Background: Prelabour rupture of the membrane (PROM) is a common problem faces by the obstetricians. This study was conducted to have a look into the causes and outcome of PROM cases at Rajshahi Medical College Hospital. Methods: This study was conducted from April 2019 to June 2020 at the Department of Obstetrics & Gynaecology of Rajshahi Medical College Hospital, Rajshahi. A total of 76 PROM cases was included; out of them 36 (47%) were preterm PROM and 40 (53%) were term PROM. Their antenatal clinic (ANC) visit records regarding past & present obstetric history were recorded. Urine culture for bacteria was done in all the cases. Outcome of the current pregnancy as mode of delivery, living or dead baby, weight of the baby, APGAR score were recorded. The data was presented as actual number and percentage of total. In addition “Mean ± SD” was used to express the quantitative data. Results: Age range of them was 18 to 36 years and gestational age was 29 to 39 weeks. Among all the cases 42(55%) attended antenatal clinic (ANC) regularly, 30(39.5%) irregularly and 4(5.5%) never attended. 5 cases were with multiple pregnancies, of them 3 in preterm group and 2 in term group. Number of malpresentation was 6. Dead baby was the outcome in 08 (11%) cases, all of them were preterm PROM. Urine culture +ve for bacteria were in 4(5.5%) cases; all of them gave birth to dead babies. Underweight babies were 15 in preterm and 2 in term group; all multiple pregnancies (n=5) were underweight. Delivery by caesarean section was done in 40 cases, normal or assisted vaginal delivery (NVD) was done with live baby in 23 cases and NVD was done with dead baby in 8 cases. Conclusion: Dead baby was the outcome in preterm PROM only where positive urine culture for bacteria came out as a very grave sign.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".