Thrombotic Thrombocytopenic Purpura and Pregnancy Outcomes: A Cohort Study [A258]
Bibliographic record
Abstract
INTRODUCTION: Thrombotic thrombocytopenic purpura (TTP) is a rare microangiopathy. Little is known of its impact on pregnancy. The aim was to evaluate the association between maternal TTP and pregnancy and neonatal outcomes. METHODS: A retrospective cohort study was conducted using the U.S. Healthcare Cost and Utilization Project–Nationwide Inpatient Sample. A cohort of women who delivered between 1999 and 2015 was created. Then ICD-9 code 446.6 was used to identify women with a diagnosis of TTP, with the remaining women without a TTP diagnosis being the comparison group. Multivariate logistic regression estimated the effect of TTP on maternal and neonatal outcomes, while adjusting for maternal baseline variables. RESULTS: A total of 13,792,544 women delivered between 1999 and 2015, of whom 280 had a TTP diagnosis (2/100,000). Women with a TTP diagnosis, compared to those without, had more preexisting health conditions (diabetes, hypertension, and obesity). TTP was associated with several adverse outcomes: maternal death (odds ratio [OR], 215.50; 95% CI, 121.19–383.22), preeclampsia (OR, 18.63, 14.57–23.82), eclampsia (OR, 27.80; 95% CI, 13.08–59.11), placental abruption (OR, 5.20; 95% CI, 3.18–8.50), disseminated intravascular coagulation (OR, 139.11; 95% CI, 81.97–236.09), venous thromboembolism (OR, 10.69; 95% CI, 5.25–21.73), sepsis (OR, 118.42; 95% CI, 63.62–220.42), myocardial infarction (OR, 268.60; 95% CI, 84.30–855.81), postpartum hemorrhage (OR, 15.00; 95% CI, 11.66–19.29), requiring a blood transfusion (OR, 59.77; 95% CI, 46.54–76.76), and cesarean delivery (OR, 3.52; 95% CI, 2.74–4.53). Neonates born to women with a TTP diagnosis were at increased risk for preterm birth (OR, 3.40; 95% CI, 2.58–4.49), intrauterine growth restriction (OR, 2.73; 95% CI, 1.68–4.41), and stillbirth (OR, 9.41; 95% CI, 5.95–14.88). CONCLUSION: TTP increases the risk of adverse maternal and neonatal outcomes, including maternal and fetal death. Women with TTP in the past or present should be followed closely by a multidisciplinary team.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".