Prevalence of Hemolysis, Elevated Liver Enzymes, Low Platelet Count Syndrome in Pregnant Women in a Tertiary Care Hospital
Bibliographic record
Abstract
INTRODUCTION: Hemolysis, Elevated Liver Enzymes, Low Platelet count syndrome refers to biological syndrome occurring in pre-eclamptic and eclamptic women. There is a higher rate of maternal and perinatal morbidity and mortality due to the syndrome. So, the objective of the study is to find the prevalence and maternal- perinatal outcome in the syndrome. METHODS: A descriptive cross-sectional study was done in a tertiary care hospital from 1st April 2017 to 30th March 2018 after obtaining ethical clearance from the Institutional Review Committee. The inclusion criteria were patients giving consent for participation and those who delivered in our hospital. Patient with the syndrome who delivered outside and referred in the postpartum period was excluded because details of the neonate may not be available. The Statistical Package for Social Sciences version 21 was used for the analysis of the data. Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. RESULTS: Out of 11974 deliveries, the prevalence of Hemolysis, Elevated Liver Enzymes, Low Platelet count syndrome was 83 (0.69%) at 95% Confidence Interval (59.06-78.94). Maternal complications were seen in 19 (22.9%) and common complications being acute renal failure 9 (47.37%) followed by postpartum hemorrhage 4 (21.05%). Nearly 27 (33%) of patients required maternal ICU stay and there was one maternal mortality. CONCLUSIONS: Hemolysis, Elevated Liver Enzymes, Low Platelet count syndrome is one of the major causes of maternal and perinatal morbidity and mortality. Hence early recognition and prompt management may improve maternal and fetal outcomes.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".