Preeclampsia and Long-term Renal Function in Women Who Underwent Kidney Transplantation
Bibliographic record
Abstract
OBJECTIVE: Preeclampsia often complicates pregnancies after maternal kidney transplantation. We aimed to assess whether preeclampsia is associated with kidney function decline either during the pregnancy or in the long term. METHODS: We performed an international multicenter retrospective cohort study. Renal function at conception, pregnancy outcomes, and short- and long-term graft outcomes were collected for women who were pregnant after renal transplantation and had transplant and obstetric care at the participating centers. In women who had multiple pregnancies during the study period, only the last pregnancy was included. Univariate and multivariable analyses were performed. RESULTS: We retrieved pregnancy outcomes and long-term renal outcomes for 52 women. Chronic hypertension was present at baseline in 27%. Mean estimated glomerular filtration rate (GFR) at start of pregnancy was 52.4±17.5 mL/min/1.73 m. Mean estimated GFR at delivery was 47.6±21.6 mL/min/1.73 m, which was significantly lower than at conception (P=.03). Twenty women (38%) developed preeclampsia. In multivariable analysis, women who developed preeclampsia had a 10.7-mL/min/1.73 m higher drop in estimated GFR between conception and delivery than women who did not develop preeclampsia (P=.02). Long-term estimated GFR follow-up was obtained at a median of 5.8 years (range 1.3-27.5 years). Mean estimated GFR at last follow-up was 38±23 mL/kg/1.73 m. Seventeen women (33%) experienced graft loss over the follow-up period. Incidence of graft loss was similar in women with and without preeclampsia in their last pregnancy (30% and 34%, respectively; P=.99). In multivariable analysis, the decrease in estimated GFR between conception and last follow-up was similar in women who experienced preeclampsia during pregnancy and those who did not (difference -2.69 mL/min/1.73 m, P=.65). CONCLUSION: Preeclampsia commonly complicates pregnancies after renal transplantation but is not associated with long-term renal dysfunction or graft loss.
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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 | 0.001 | 0.004 |
| 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 | 0.000 |
| 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".