Association Between Hypertensive Disorders During Pregnancy and Subsequent Long-term Risk of Hospitalization Due to End-stage Renal Disease: A Population-based Follow-up Study
Bibliographic record
Abstract
Hypertensive disorders during pregnancy (HDPs) were reported to be associated with some serious maternal outcomes and adverse long-term consequences. To examine the effect of HDPs on the development of end-stage renal disease (ESRD), we followed up a cohort of women who had delivered in Canadian hospitals between the fiscal years of 1993/1994 and 2002/2003 and identified their subsequent hospitalizations. The study revealed that a significantly higher risk of incidence of subsequent ESRD hospitalization was associated with previous HDPs, and women with pre-eclampsia superimposed on pre-existing hypertension had the highest risk among the women with HDPs. Cox regression analysis was used to adjust for potential confounders, and to estimate the relative risk for ESRD hospitalization associated with previous HDPs and found that gestational hypertension and pre-eclampsia increased the risk which was partially mediated by diabetes mellitus developed after HDPs. In addition, pre-eclamptic pregnancy associated with preterm delivery could substantially elevated risk of an ESRD hospitalization in later life.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".