Prevalence and Maternal Outcomes of Hypertensive Disorders of Pregnancy: A Retrospective Study
Bibliographic record
Abstract
Introduction: Hypertensive disorders of Pregnancy are the major complications that cause about 60%–80% of all maternal deaths. Among the hypertensive disorders, the pre-eclampsia syndrome, either alone or superimposed on chronic hypertension, is the most dangerous. Objectives: To assess the prevalence and the maternal outcomes of hypertensive disorders of pregnancy at Georgetown Public Hospital Corporation Obstetrics and Gynecology Department. Design: A retrospective descriptive study. Materials and Method: We looked at 324 women diagnosed with preeclampsia, gestational hypertension, chronic hypertension, and eclampsia that were hospitalized at GPHC between January 2017 and December 2018. Statistical analysis: Data were analyzed using SPSS version 23. Data were expressed in percentages Results: The minimum age was 14 years while the maximum age was 43years, the mean age of the patients was 26.35±6.7 years. (51.7%) were primigravid, and One hundred and fifty-seven (48.3%) were multigravida. The overall prevalence was 2.6 per 1000 deliveries. Gestational hypertension accounted for 70.3%. %. HDU admission n=16(4.9%), n=15(4.6) postpartum hemorrhage, HELLP syndrome n=7(2.2%), eclampsia n=7 (2.1%). DIC with maternal death n=1(0.3%), n=3 (0.9%) placenta abruption, n=1(0.3%) renal failure. There was a statistically significant relationship between hypertensive disorders and maternal outcome p= 0.001. Of the perinatal complications; prematurity accounted for 14.2%, NICU admissions n=20 (6.2%) fetal growth restriction=8(2.4%), and Stillbirth n=4(1.2%). Apgar score < 5 in the first minute of life accounted for 4.3%. This Apgar score was statistically significant for perinatal outcome p=0.005. Conclusion: The prevalence of hypertensive disorder of pregnancy was low in our study. The most prevalent form of hypertensive disorder of pregnancy at Georgetown Public Hospital Corporation was Gestational hypertension. Hypertensive disorders were statistically significant for maternal outcomes. Recommendations: Routine anthropometric measures and blood pressure checks should be part of every appointment. Promoting early hospital referrals is crucial. Keywords: Hypertensive disorders of Pregnancy, Gestational hypertension.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".