Admission hypo‐ and hyperthermia are associated with increased mortality and morbidity in very preterm infants
Notice bibliographique
Résumé
Commentary on: Lyu Y, Sha PS, Ye XY, Waree R, Piedboeuf B, Deshpandey A, Dunn M, Lee SK, for the Canadian Neonatal Network. Association between admission temperature and mortality and major morbidity in preterm infants born at fewer than 33 weeks′ gestation. JAMA Pediatr 2015; 169: e150277. Even though the pathophysiologic mechanisms of hypo- and hyperthermia and their impact on infants’ outcome have been known for a long time, most previous research merely covers one end of the temperature scale, namely hypothermia. In this Canadian Neonatal Network study, Lyu et al. retrospectively investigated the effect of admission body temperature (low and high) on adverse outcomes of preterm infants. The nationwide participation resulted in an impressive number of included infants with only very few dropouts. Nevertheless, there are a few comments to make. The authors define the admission temperature as the temperature taken with the first vital signs within the first hour of the infant's admission to the NICU. Information about the infant's chronological age when admission temperature was measured is missing. There is no standard protocol to measure the admission temperature. Not only does the location of temperature acquisition vary (rectal vs. axillary) but also the temperature detecting device. The authors cite Craig et al. 1 who concluded that there is a pooled mean temperature difference of 0.17°C between axillary and rectal temperatures. This indicates only a small – probably not significant – difference between the two measurement locations. They forgot to mention that the range of temperature difference was wide and that the temperature measurement device (mercury vs. electronic) plays an important role. Mercury thermometers had narrower limits of agreement when comparing axillary vs. rectal temperatures. Other studies also come to the conclusion that axillary and rectal temperatures are not interchangeable in preterm infants 2. Important, but not documented, are possible confounders such as the mother's temperature at birth and the time needed to transport the baby from the delivery room to the NICU. Other confounders such as ventilation with a dry circuit and the use of fluids for resuscitation are not mentioned, as well. The authors included factors like these in their infants’ characteristics (Apgar score <7 with five minutes, SNAP II >20, resuscitation needed) and applied a univariate analysis, which showed that these factors were associated with admission temperature. In addition, the primary composite outcome may contain too many individual components. Schmidt et al. 3 presented a count of three major neonatal morbidities, namely bronchopulmonary dysplasia, brain injury and severe retinopathy of prematurity, as the most important prognostic factors for neurodevelopmental outcome at 18 months. Bassler et al. 4 showed that necrotising enterocolitis and sepsis (except meningitis) are weaker predictors of a poor long-term outcome. Late-onset sepsis, on the other hand, has been shown to be inversely correlated with hypothermia 5, which might have been the reason for adding sepsis to the composite primary outcome. For the secondary outcome, the authors calculated the admission temperature at which each single adverse outcome was at its lowest rate. This is interesting on a theoretical basis, but not applicable for clinical everyday life. In conclusion, the authors found an association between hypo- and hyperthermia and an adverse neonatal outcome, which calls for continuous monitoring of body temperature in extremely preterm infants as part of routine resuscitation. https://ebneo.org/2016/11/admission-hypo-and-hyperthermia-are-associated-with-increased-mortality-and-morbidity-in-very-preterm-infants None. None.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, pas un consensus.
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