Chronic Histiocytic Intervillositis – Clinical, Biochemical and Radiological Associations [30F]
Bibliographic record
Abstract
INTRODUCTION: To determine the clinical, biochemical and radiological features associated with a histopathologic diagnosis of chronic histiocytic intervillositis (CHI), and propose surveillance strategies for pregnancies at risk for this condition. METHODS: A retrospective chart review was conducted to identify cases with a diagnosis of CHI between 2001 and 2014. Adverse pregnancy outcomes included pregnancy loss, preterm birth, small for gestational age (SGA) and preeclampsia. Maternal tests included serum alkaline phosphatase (ALKP) and prenatal screening bioanalytes. Mid-trimester placental ultrasound reported placental dimensions, echotexture, echogenic cystic lesions, infarcts and uterine artery pulsatility indices. Late-trimester ultrasound reported umbilical artery Dopplers and amniotic fluid volume. Outcomes were described as proportions. RESULTS: Of the 261 cases of intervillositis identified, 33 were cases of CHI. Fetal demise was noted in 13/33 (39.4%) of which 11 (35.5%) were stillbirths. Of the 18 live births, 16 (88.9%) delivered prematurely; 6 of these (33.3%) before 34 weeks and 12 (66.7%) required neonatal unit admission. All babies born after 22 weeks were SGA, with 15/23 (65.2%) under the 3rd centile. Preeclampsia complicated 9/33 (27.3%) of pregnancies. 12/16 (75.0%) had at least one abnormal prenatal screening bioanalyte and 6/19 (31.57%) ALKP levels 2.5 times above normal. 15/20 (75.0%) had at least one abnormal mid-trimester placental ultrasound marker. CONCLUSION: CHI is associated with a cluster of clinical, biochemical or radiological findings. Given the high recurrence rate and no available treatment, individualized care plans based on a combination of clinical, biochemical and radiological tests have been proposed to improve outcomes in subsequent pregnancies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".