Obstetrical and neonatal outcomes in renal transplant recipients
Bibliographic record
Abstract
OBJECTIVE: To measure the incidence and outcomes of pregnancies in renal transplant (RT) patients and to identify risk factors of adverse pregnancy outcomes. METHODS: We conducted a population-based retrospective cohort study using the United States Nationwide Inpatient Sample from 2003-2010. The incidence of pregnancies in women with RT was measured and logistic regression analysis was used to estimate the adjusted effect of RT on maternal and fetal outcomes. RESULTS: We identified 375 deliveries in patients with a RT among 7094300 births for an overall incidence of 5.3 cases per 100000 births over 8 years. Maternal complications, including preeclampsia OR=9.87 (7.76, 12.55) and blood transfusion OR=2.29 (1.69, 3.12) were more common in women with RT as compared to in women without. RT pregnancies were also complicated by an increased risk of preterm birth OR=4.65 (3.72, 5.81), intrauterine fetal death OR=3.67 (1.89, 7.15) and fetal congenital anomalies OR=5.28 (2.81, 9.90). Among women with RT and pre-existing hypertension, the risk of intrauterine growth restriction (IUGR) was considerably increased from 4.3% to 21.8%, OR=3.79 (1.67, 8.62). CONCLUSION: Pregnancies in RT patients are associated with an increased risk of maternal and fetal morbidities. Among women with RT, pre-existing hypertension strongly increases the risk of IUGR.
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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) | 0.001 | 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".