Relationship between Pre-Eclampsia, Renal Impairment and Hepatic Insufficiency among Pregnant Women in Al-Jouf Area
Bibliographic record
Abstract
Background: Pre-eclampsia is a pregnancy-specific syndrome. It affects 3-5% of pregnant women and is characterized by oedema, high blood pressure, and proteinuria. Moreover, in women with pre-eclampsia dysfunction of many organs, such as kidney and liver, is diagnosed, while in the case of foetus growth restriction is observed. Pre-eclampsia, when left untreated, can lead to a high mortality rate. In low-income countries, this disorder is one of the main causes of maternal and child mortality. Pre-eclampsia predisposes women in later life to cardiovascular diseases. So far, in acute cases of pre-eclampsia stabilization of the mother and fotus, and finally, termination of pregnancy at a time optimal for both sides can only be considered.Methods: The present work is designed to investigate the relationship between pre-eclampsia, renal and hepatic insufficiency in the Al-Jouf area through collecting information from the electronic database of maternity hospital for 100 pregnant women who suffered from pre-eclampsia compared with normal pregnancies.Results: The prevalence of pre-eclampsia is more prone in eldest women (older than 35 years old) almost 45% than younger women (20-25 years old), PC to MPV ratio value showed a significant suppression in pre-eclamptic pregnancies in comparison with normal pregnant women while HbA1c % value indicated a significant increase in the pre-eclamptic cases than the healthy pregnant women. Renal indices, serum creatinine, urea, and albumin were significantly higher in the pre-eclamptic women than in women with normal pregnancies.Conclusion: There is a tight relationship between hypertensive disorders during pregnancies, chronic renal disorders and hepatic insufficiency.
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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 | 0.001 | 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) | 0.001 | 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".