FREQUENCY OF PRIMIGRAVIDA IN PATIENTS WITH ECLAMPSIA
Bibliographic record
Abstract
BACKGROUND: Pregnancy-induced hypertension (PIH) occurs in about 5% of pregnancies and is a major cause of high perinatal and maternal morbidity and mortality. In several international studies, primigravidas were associated with a significantly higher incidence of eclampsia. The local studies so far have a small sample size and mainly focus on preeclampsia in all pregnant women. limited data is available on the frequency of eclampsia in primigravidas in our population. This study aims to determine the frequency of primigravidas in patients with eclampsia after 20 weeks of gestation. METHODS: This descriptive Cross-sectional study was conducted in the Department of Obstetrics and Gynaecology, Ayub Teaching Hospital Abbottabad from 7/10/2020 to 7/4/2021. A total of 134 patients were observed. Diagnosis of eclampsia was based upon obstetrical history, presence of fits or coma, raised blood pressure and presence of proteinuria on urine complete examination. Immediate management included stabilizing the patient and delivery by Induction of labour or Caesarean section. The guardians of the patients explained the purpose and the benefits of the study and informed written consent was taken. RESULTS: : Our study shows that among 134 patients, 96 (72%) patients were in the age range of 18-27 years while 38 (28%) patients were in the age range of 28-35 years. The mean age was 30 years with SD±10.94. Eighty two (61%) patients had a POG range ≤34 weeks while 52 (39%) patients had a POG range >34 weeks. Forty-eight (36%) patients had BMI <27 Kg/m2 while 86 (64%) patients had BMI >27 Kg/m2. Fifty-six (42%) patients had a positive history of hypertension while 78(58%) patients had a negative history of hypertension. Out of 134 patients, 102(76%) were primigravidas while 32 (24%) were multigravidas. CONCLUSIONS: Our study concludes that the frequency of primigravidas was 76% in patients with eclampsia after 20 weeks of gestation presenting at tertiary care hospital Abbottabad.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".