Association between celiac and superior mesenteric arteries’ Doppler flow parameters and risk of necrotizing enterocolitis in preterm infants
Bibliographic record
Abstract
Background Necrotizing enterocolitis (NEC) remains a significant cause of morbidity and mortality in preterm neonates. Identifying early markers of impaired intestinal perfusion may aid detecting an association with the development of NEC. This study aims to evaluate the role of Doppler ultrasound of the superior mesenteric artery (SMA) and celiac artery (CA) and its association with NEC in preterm neonates. Methods We conducted a retrospective, single-center case–control study. Eligible infants were born at <29 weeks’ gestation; we excluded those with chromosomal abnormalities, major anomalies, and those without Doppler assessments. NEC cases (Bell stage ≥II) were matched to controls on gestational age and birth weight. We compared SMA and CA Doppler parameters—peak systolic velocity (PSV), end-diastolic velocity (EDV) of NEC and control infants obtained at the end of the first and between 2 nd and 3 rd weeks of life. Results Among 44 preterm infants (NEC = 21; controls = 23), Doppler assessment in the 1 st week showed lower CA PSV in NEC versus controls (AMD = −27.7 cm/s [−53.58, −1.81]; p = 0.0371) after adjustment for PDA, birth weight, and gestational age. In weeks 2–3, and before NEC onset, NEC infants had lower SMA PSV (AMD = −35.7 cm/s [−68.5, −3.00]; p = 0.036) in models adjusted for PDA. No significant differences were found in CA parameters. Conclusions Reduced CA PSV during the first week of life, and reduced SMA PSV prior to NEC onset reflects impaired splanchnic perfusion preceding NEC and may be useful to clinicians in stratifying neonates at a risk of developing NEC in advance.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".