Association of uric acid with progression to preeclampsia and development of adverse conditions in gestational hypertensive pregnancies
Bibliographic record
Abstract
BACKGROUND: Preeclampsia is a serious pregnancy complication. Gestational hypertension is a common first clinical presentation of preeclampsia. Little is known about which clinical risk factors are associated with the progression from gestational hypertension to preeclampsia. METHODS: In a retrospective cohort study of 249 singleton pregnant women with an initial presentation of gestational hypertension in an obstetric hospital, we assessed which routinely available clinical risk factors are associated with the progression to preeclampsia and the development of adverse maternal or infant conditions. RESULTS: The mean serum uric acid level at the initial presentation of gestational hypertension was significantly higher comparing patients who later progressed to preeclampsia to those who did not (5.06 vs. 4.59 mg/dl, P < 0.01). Lower gestational age and higher serum uric acid level at the initial presentation of gestational hypertension and subsequent need for antihypertensive drug treatment for blood pressure (BP) control were associated with significantly increased risks of progression to preeclampsia, and development of adverse maternal or infant conditions. One standard deviation (s.d.) increase in serum uric acid level was associated with 2.3-fold increased odds of progression to preeclampsia (adjusted odds ratio (aORs) 2.33 (95% confidence interval (CI) 1.45-3.74)), and 1.5-fold increased odds of developing clinically significant adverse maternal or infant conditions (aOR 1.49 (1.03-2.17)) irrespective of the progression to preeclampsia. CONCLUSIONS: Higher serum uric acid levels at the initial presentation of gestational hypertension may indicate heightened risk of progression to preeclampsia and development of adverse maternal/infant conditions.
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 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 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".