Pregnancy outcomes among renal transplant recipients and patients with end-stage renal disease on dialysis
Bibliographic record
Abstract
AIM: The purpose of our study is to compare pregnancy outcomes between women with a functioning renal transplant and women with end-stage renal disease (ESRD). METHODS: We carried out a population-based retrospective cohort study using the Healthcare Cost and Utilization Project Nationwide Inpatient Sample database from 2006 to 2011. Logistic regression analysis was used to estimate the age-adjusted effect of functioning renal transplant vs. ESRD requiring dialysis on pregnancy outcomes. RESULTS: We identified 264 birth records to women with a functional renal transplant and 267 birth records to women with ESRD on dialysis among 5,245,452 births. As compared to women with ESRD on dialysis, renal transplant recipients were less likely to have placental abruption [odds ratio, OR 0.23 (95% confidence interval, CI 0.08-0.70)], to receive blood transfusions [OR 0.17 (95% CI 0.09-0.30)], and to have growth-restricted and small-for-gestational-age babies [OR 0.45 (95% CI 0.23-0.85)]. Renal transplant recipients were more likely to have an instrumental delivery [OR 15.38 (95% CI 1.92-123.3)]. Among renal transplant women, there was a trend towards delivery by cesarean section as compared to patients with ESRD [OR 1.31 (95% CI 0.93-1.85)]. However, these results were not statistically significant. Fetal deaths were less likely to occur in women with a renal transplant [OR 0.41 (95% CI 0.17-0.96)]. There were four maternal deaths among patients with ESRD on dialysis and no maternal deaths among renal transplant patients. CONCLUSION: Patients with a functional renal graft had an overall lower rate of morbidity and adverse pregnancy complications when compared to patients with ESRD on dialysis.
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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 | 0.000 | 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 | 0.000 |
| 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".