43 Pulmonary Artery dopplers for early prediction of Bronchopulmonary Dysplasia (BPD) in Extremely Low Birth Weight babies (ELBW): A forgotten tale
Notice bibliographique
Résumé
Abstract Introduction/Background BPD is a chronic lung disease that affects ELBW babies and contributes significantly to their morbidity and mortality. The early abnormal vasoreactivity observed in babies at risk of BPD increases the pulmonary vascular resistance and can be assessed non-invasively using Time to Peak Velocity: Right Ventricular Ejection Time ratio (TPV: RVET) that is calculated from pulmonary artery doppler waveform. We postulate that screening for this condition early may be useful to predict BPD in this cohort, which may provide prognostic information as well as early clinical management of the ELBW at risk of developing BPD and therefore can potentially present a window of opportunity for therapeutic intervention. Objectives 1. To determine utility of TPV/RVET ratio in predicting the risk for BPD in ELBW babies in a tertiary center. 2. To determine utility of TPV/RVET(c) ratio in predicting the risk for BPD in ELBW babies in a tertiary center. Design/Methods This is a retrospective cohort study of ELBW babies <29 weeks admitted to the Neonatal Intensive Care Unit at Stollery Children Hospital (SCH) over a 4 year time period and had early echocardiograms performed between 7-21 days of life. These babies were further identified to have BPD or no BPD at 36 weeks CGA. TPV/RVET ratios were measured by two reviewers from pulmonary artery doppler waveforms and were corrected for heart rate. The predictive ability of TPV/RVET and TPV/RVET(c) for subsequent development of BPD were analyzed using ROC curve. Inter observer agreement was evaluated. Logistic regression analysis was performed to derive a model that can be used in the 2nd to 3rd weeks of life, to predict the subsequent development of BPD at 36 weeks CGA. Infants with congenital heart disease (other than PDA, persistent foramen ovale/atrial septal defect and Ventricular Septal Defects), congenital lung malformations, multiple congenital anomalies and chromosomal anomalies were excluded. Results Out of 589 ELBW babies <29 weeks admitted to SCH NICU, 207 infants were eligible with early echocardiograms done at a mean age of 12.6 days (SD 4.1). One-hundred-and-twenty-five babies (60.4%) were found to have BPD. Babies with BPD were of lower gestational age (25.6 Vs 26.4, p-0.0001), sicker at birth (SNAPPE II 42.3 Vs 33.2, p-0.0024), had higher incidence of PDA needing surgical ligation (18.4% Vs 4.9%, p-0.005) and had spent more days on mechanical ventilation (39.8 Vs 12.5, p<0.0001) than those without BPD. Both TPV, TPV/RVET and its corrected ratios were significantly lower in ELBW babies with BPD compared to non-BPD babies (p<0.0001). The TPV/RVET ratio (cut off 0.34) and TPV/RVET(c) (cut off 0.54) had Sensitivities [76.8% (95%CI 68.4-83.9) and 72% (95%CI 63.3-79.7)], Specificities [85.4% (95%CI 75.8- 92.2) and 84.1% (95%CI 74.4-91.3)], Positive Predictive Values [88.9% (95%CI 81.4-94.1) and 87.4% (95%CI 79.4-93.1)], Negative Predictive values [70.7% (95%CI 60.7- 79) and 66.3% (95%CI 56.4-75.3)] and ROC area [0.811 (95% CI 0.757-0.864) and 0.781 (95% CI 0.725-0.837)] respectively. Multi variant logistic regression analysis showed Odds Ratio(OR) for having BPD at TPV/RVET cut off 0.34 and TPV/RVET(c) cut off 0.54 to be 19.9(95%CI 8.19-48.34) and 16.3(95% 6.78-39.33) respectively and the OR increased by 1.07(95%CI 1.05-1.09) and 1.08(95% CI 1.05-1.10) with every additional days of mechanical ventilation respectively. TPV/RVET ratio had 92.75% inter-observer agreement with kappa 0.83. Conclusion TPV/RVET and its corrected ratio are good and reliable early screening tools for subsequent development of BPD in ELBW babies with substantial inter-observer agreement. Two variable model namely TPV/RVET<0.34 and mechanical ventilation or TPV/RVET(c) <0.54 and mechanical ventilation can be used in the 2nd to 3rd week of life to predict subsequent development of BPD at 36 weeks CGA in ELBW babies.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».